Identifying Vasopressor and Inotrope Use for Health Services Research

PubMed Central

Fawzy, Ashraf; Bradford, Mark; Lindenauer, Peter K.

2016-01-01

Rationale: Identifying vasopressor and inotrope (vasopressor) use from administrative claims data may provide an important resource to study the epidemiology of shock. Objectives: Determine accuracy of identifying vasopressor use using International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) coding. Methods: Using administrative data enriched with pharmacy billing files (Premier, Inc., Charlotte, NC), we identified two cohorts: adult patients admitted with a diagnosis of sepsis from 2010 to 2013 or pulmonary embolism (PE) from 2008 to 2011. Vasopressor administration was obtained using pharmacy billing files (dopamine, dobutamine, epinephrine, milrinone, norepinephrine, phenylephrine, vasopressin) and compared with ICD-9-CM procedure code for vasopressor administration (00.17). We estimated performance characteristics of the ICD-9-CM code and compared patients’ characteristics and mortality rates according to vasopressor identification method. Measurements and Main Results: Using either pharmacy data or the ICD-9-CM procedure code, 29% of 541,144 patients in the sepsis cohort and 5% of 81,588 patients in the PE cohort were identified as receiving a vasopressor. In the sepsis cohort, the ICD-9-CM procedure code had low sensitivity (9.4%; 95% confidence interval, 9.2–9.5), which increased over time. Results were similar in the PE cohort (sensitivity, 5.8%; 95% confidence interval, 5.1–6.6). The ICD-9-CM code exhibited high specificity in the sepsis (99.8%) and PE (100%) cohorts. However, patients identified as receiving vasopressors by ICD-9-CM code had significantly higher unadjusted in-hospital mortality, had more acute organ failures, and were more likely hospitalized in the Northeast and West. Conclusions: The ICD-9-CM procedure code for vasopressor administration has low sensitivity and selects for higher severity of illness in studies of shock. Temporal changes in sensitivity would likely make longitudinal shock surveillance using ICD-9-CM inaccurate. PMID:26653145

A Strategic Plan for Integrating ICD-10 in Your Practice and Workflow.

PubMed

Bowman, Sue; Cleland, Risë Marie; Staggs, Stuart

2015-01-01

The adoption of the International Classification of Disease (ICD) 10th Revision (ICD-10) diagnosis code set in the United States has been legislatively delayed several times with the most recent date for implementation set for October 1, 2015. The transition from ICD-9 to ICD-10 will be a major undertaking that will require a substantial amount of planning. In the following article, we outline the steps to develop and implement a strategic plan for the transition to the new code set, identify training needs throughout the practice, and review the challenges and opportunities associated with the transition to ICD-10.

Coding algorithms for identifying patients with cirrhosis and hepatitis B or C virus using administrative data.

PubMed

Niu, Bolin; Forde, Kimberly A; Goldberg, David S

2015-01-01

Despite the use of administrative data to perform epidemiological and cost-effectiveness research on patients with hepatitis B or C virus (HBV, HCV), there are no data outside of the Veterans Health Administration validating whether International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes can accurately identify cirrhotic patients with HBV or HCV. The validation of such algorithms is necessary for future epidemiological studies. We evaluated the positive predictive value (PPV) of ICD-9-CM codes for identifying chronic HBV or HCV among cirrhotic patients within the University of Pennsylvania Health System, a large network that includes a tertiary care referral center, a community-based hospital, and multiple outpatient practices across southeastern Pennsylvania and southern New Jersey. We reviewed a random sample of 200 cirrhotic patients with ICD-9-CM codes for HCV and 150 cirrhotic patients with ICD-9-CM codes for HBV. The PPV of 1 inpatient or 2 outpatient HCV codes was 88.0% (168/191, 95% CI: 82.5-92.2%), while the PPV of 1 inpatient or 2 outpatient HBV codes was 81.3% (113/139, 95% CI: 73.8-87.4%). Several variations of the primary coding algorithm were evaluated to determine if different combinations of inpatient and/or outpatient ICD-9-CM codes could increase the PPV of the coding algorithm. ICD-9-CM codes can identify chronic HBV or HCV in cirrhotic patients with a high PPV and can be used in future epidemiologic studies to examine disease burden and the proper allocation of resources. Copyright © 2014 John Wiley & Sons, Ltd.

Air Force Operational Medicine: Using the Enterprise Estimating Supplies Program to Develop Materiel Solutions for the Thoracic/Vascular Surgery Team (FFGKT)

DTIC Science & Technology

2010-11-10

asset, including combat wounds, non-battle injuries , and illnesses. International Classification of Diseases, Ninth Revision (ICD-9) coded patient...patient conditions and the frequency at which they would present. The resulting illness and injury frequencies characterize the expected patient...The scenario is shown in Table 1. Table 1 Thoracic/Vascular Scenario ICD-9 ICD-9 description No. patients 903.9 INJURY ARM VESSEL NOS 2 904.8

Transition to international classification of disease version 10, clinical modification: the impact on internal medicine and internal medicine subspecialties.

PubMed

Caskey, Rachel N; Abutahoun, Angelos; Polick, Anne; Barnes, Michelle; Srivastava, Pavan; Boyd, Andrew D

2018-05-04

The US health care system uses diagnostic codes for billing and reimbursement as well as quality assessment and measuring clinical outcomes. The US transitioned to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) on October, 2015. Little is known about the impact of ICD-10-CM on internal medicine and medicine subspecialists. We used a state-wide data set from Illinois Medicaid specified for Internal Medicine providers and subspecialists. A total of 3191 ICD-9-CM codes were used for 51,078 patient encounters, for a total cost of US $26,022,022 for all internal medicine. We categorized all of the ICD-9-CM codes based on the complexity of mapping to ICD-10-CM as codes with complex mapping could result in billing or administrative errors during the transition. Codes found to have complex mapping and frequently used codes (n = 295) were analyzed for clinical accuracy of mapping to ICD-10-CM. Each subspecialty was analyzed for complexity of codes used and proportion of reimbursement associated with complex codes. Twenty-five percent of internal medicine codes have convoluted mapping to ICD-10-CM, which represent 22% of Illinois Medicaid patients, and 30% of reimbursements. Rheumatology and Endocrinology had the greatest proportion of visits and reimbursement associated with complex codes. We found 14.5% of ICD-9-CM codes used by internists, when mapped to ICD-10-CM, resulted in potential clinical inaccuracies. We identified that 43% of diagnostic codes evaluated and used by internists and that account for 14% of internal medicine reimbursements are associated with codes which could result in administrative errors.

Validation of the Combined Comorbidity Index of Charlson and Elixhauser to Predict 30-Day Mortality Across ICD-9 and ICD-10.

PubMed

Simard, Marc; Sirois, Caroline; Candas, Bernard

2018-05-01

To validate and compare performance of an International Classification of Diseases, tenth revision (ICD-10) version of a combined comorbidity index merging conditions of Charlson and Elixhauser measures against individual measures in the prediction of 30-day mortality. To select a weight derivation method providing optimal performance across ICD-9 and ICD-10 coding systems. Using 2 adult population-based cohorts of patients with hospital admissions in ICD-9 (2005, n=337,367) and ICD-10 (2011, n=348,820), we validated a combined comorbidity index by predicting 30-day mortality with logistic regression. To appreciate performance of the Combined index and both individual measures, factors impacting indices performance such as population characteristics and weight derivation methods were accounted for. We applied 3 scoring methods (Van Walraven, Schneeweiss, and Charlson) and determined which provides best predictive values. Combined index [c-statistics: 0.853 (95% confidence interval: CI, 0.848-0.856)] performed better than original Charlson [0.841 (95% CI, 0.835-0.844)] or Elixhauser [0.841 (95% CI, 0.837-0.844)] measures on ICD-10 cohort. All weight derivation methods provided close high discrimination results for the Combined index (Van Walraven: 0.852, Schneeweiss: 0.851, Charlson: 0.849). Results were consistent across both coding systems. The Combined index remains valid with both ICD-9 and ICD-10 coding systems and the 3 weight derivation methods evaluated provided consistent high performance across those coding systems.

Coding algorithms for identifying patients with cirrhosis and hepatitis B or C virus using administrative data

PubMed Central

Niu, Bolin; Forde, Kimberly A; Goldberg, David S.

2014-01-01

Background & Aims Despite the use of administrative data to perform epidemiological and cost-effectiveness research on patients with hepatitis B or C virus (HBV, HCV), there are no data outside of the Veterans Health Administration validating whether International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes can accurately identify cirrhotic patients with HBV or HCV. The validation of such algorithms is necessary for future epidemiological studies. Methods We evaluated the positive predictive value (PPV) of ICD-9-CM codes for identifying chronic HBV or HCV among cirrhotic patients within the University of Pennsylvania Health System, a large network that includes a tertiary care referral center, a community-based hospital, and multiple outpatient practices across southeastern Pennsylvania and southern New Jersey. We reviewed a random sample of 200 cirrhotic patients with ICD-9-CM codes for HCV and 150 cirrhotic patients with ICD-9-CM codes for HBV. Results The PPV of 1 inpatient or 2 outpatient HCV codes was 88.0% (168/191, 95% CI: 82.5–92.2%), while the PPV of 1 inpatient or 2 outpatient HBV codes was 81.3% (113/139, 95% CI: 73.8–87.4%). Several variations of the primary coding algorithm were evaluated to determine if different combinations of inpatient and/or outpatient ICD-9-CM codes could increase the PPV of the coding algorithm. Conclusions ICD-9-CM codes can identify chronic HBV or HCV in cirrhotic patients with a high PPV, and can be used in future epidemiologic studies to examine disease burden and the proper allocation of resources. PMID:25335773

Validation of ICD-9-CM coding algorithm for improved identification of hypoglycemia visits.

PubMed

Ginde, Adit A; Blanc, Phillip G; Lieberman, Rebecca M; Camargo, Carlos A

2008-04-01

Accurate identification of hypoglycemia cases by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes will help to describe epidemiology, monitor trends, and propose interventions for this important complication in patients with diabetes. Prior hypoglycemia studies utilized incomplete search strategies and may be methodologically flawed. We sought to validate a new ICD-9-CM coding algorithm for accurate identification of hypoglycemia visits. This was a multicenter, retrospective cohort study using a structured medical record review at three academic emergency departments from July 1, 2005 to June 30, 2006. We prospectively derived a coding algorithm to identify hypoglycemia visits using ICD-9-CM codes (250.3, 250.8, 251.0, 251.1, 251.2, 270.3, 775.0, 775.6, and 962.3). We confirmed hypoglycemia cases by chart review identified by candidate ICD-9-CM codes during the study period. The case definition for hypoglycemia was documented blood glucose 3.9 mmol/l or emergency physician charted diagnosis of hypoglycemia. We evaluated individual components and calculated the positive predictive value. We reviewed 636 charts identified by the candidate ICD-9-CM codes and confirmed 436 (64%) cases of hypoglycemia by chart review. Diabetes with other specified manifestations (250.8), often excluded in prior hypoglycemia analyses, identified 83% of hypoglycemia visits, and unspecified hypoglycemia (251.2) identified 13% of hypoglycemia visits. The absence of any predetermined co-diagnosis codes improved the positive predictive value of code 250.8 from 62% to 92%, while excluding only 10 (2%) true hypoglycemia visits. Although prior analyses included only the first-listed ICD-9 code, more than one-quarter of identified hypoglycemia visits were outside this primary diagnosis field. Overall, the proposed algorithm had 89% positive predictive value (95% confidence interval, 86-92) for detecting hypoglycemia visits. The proposed algorithm improves on prior strategies to identify hypoglycemia visits in administrative data sets and will enhance the ability to study the epidemiology and design interventions for this important complication of diabetes care.

Adapting a Clinical Data Repository to ICD-10-CM through the use of a Terminology Repository

PubMed Central

Cimino, James J.; Remennick, Lyubov

2014-01-01

Clinical data repositories frequently contain patient diagnoses coded with the International Classification of Diseases, Ninth Revision (ICD-9-CM). These repositories now need to accommodate data coded with the Tenth Revision (ICD-10-CM). Database users wish to retrieve relevant data regardless of the system by which they are coded. We demonstrate how a terminology repository (the Research Entities Dictionary or RED) serves as an ontology relating terms of both ICD versions to each other to support seamless version-independent retrieval from the Biomedical Translational Research Information System (BTRIS) at the National Institutes of Health. We make use of the Center for Medicare and Medicaid Services’ General Equivalence Mappings (GEMs) to reduce the modeling effort required to determine whether ICD-10-CM terms should be added to the RED as new concepts or as synonyms of existing concepts. A divide-and-conquer approach is used to develop integration heuristics that offer a satisfactory interim solution and facilitate additional refinement of the integration as time and resources allow. PMID:25954344

Developing Electronic Health Record Algorithms That Accurately Identify Patients With Systemic Lupus Erythematosus.

PubMed

Barnado, April; Casey, Carolyn; Carroll, Robert J; Wheless, Lee; Denny, Joshua C; Crofford, Leslie J

2017-05-01

To study systemic lupus erythematosus (SLE) in the electronic health record (EHR), we must accurately identify patients with SLE. Our objective was to develop and validate novel EHR algorithms that use International Classification of Diseases, Ninth Revision (ICD-9), Clinical Modification codes, laboratory testing, and medications to identify SLE patients. We used Vanderbilt's Synthetic Derivative, a de-identified version of the EHR, with 2.5 million subjects. We selected all individuals with at least 1 SLE ICD-9 code (710.0), yielding 5,959 individuals. To create a training set, 200 subjects were randomly selected for chart review. A subject was defined as a case if diagnosed with SLE by a rheumatologist, nephrologist, or dermatologist. Positive predictive values (PPVs) and sensitivity were calculated for combinations of code counts of the SLE ICD-9 code, a positive antinuclear antibody (ANA), ever use of medications, and a keyword of "lupus" in the problem list. The algorithms with the highest PPV were each internally validated using a random set of 100 individuals from the remaining 5,759 subjects. The algorithm with the highest PPV at 95% in the training set and 91% in the validation set was 3 or more counts of the SLE ICD-9 code, ANA positive (≥1:40), and ever use of both disease-modifying antirheumatic drugs and steroids, while excluding individuals with systemic sclerosis and dermatomyositis ICD-9 codes. We developed and validated the first EHR algorithm that incorporates laboratory values and medications with the SLE ICD-9 code to identify patients with SLE accurately. © 2016, American College of Rheumatology.

The Tragedy of the Implementation of ICD-10-CM as ICD-10: Is the Cart Before the Horse or Is There a Tragic Paradox of Misinformation and Ignorance?

PubMed

Manchikanti, Laxmaiah; Kaye, Alan D; Singh, Vijay; Boswell, Mark V

2015-01-01

The forced implementation of ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) codes that are specific to the United States, scheduled for implementation October 1, 2015, which is vastly different from ICD-10 (International Classification of Diseases, Tenth Revision), implemented worldwide, which has 14,400 codes, compared to ICD-10-CM with 144,000 codes to be implemented in the United States is a major concern to practicing U.S. physicians and a bonanza for health IT and hospital industry. This implementation is based on a liberal interpretation of the Health Insurance Portability and Accountability Act (HIPAA), which requires an update to ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification) and says nothing about ICD-10 or beyond. On June 29, 2015, the Supreme Court ruled that the Environmental Protection Agency unreasonably interpreted the Clean Air Act when it decided to set limits on the emissions of toxic pollutants from power plants, without first considering the costs on the industry. Thus, to do so is applicable to the medical industry with the Centers for Medicare and Medicaid Services (CMS) unreasonably interpreting HIPAA and imposing existent extensive regulations without considering the cost. In the United States, ICD-10-CM with a 10-fold increase in the number of codes has resulted in a system which has become so complicated that it no longer compares with any other country. Moreover, most WHO members use the ICD-10 system (not ICD-10-CM) only to record mortality in 138 countries or morbidity in 99 countries. Currently, only 10 countries employ ICD-10 (not ICD-10-CM) in the reimbursement process, 6 of which have a single payer health care system. Development of ICD-10-CM is managed by 4 non-physician groups, known as cooperating parties. They include the Centers for Disease Control and Prevention (CDC), CMS, the American Hospital Association (AHA), and the American Health Information Management Association (AHIMA). The AHIMA has taken the lead with the AHA just behind, both with escalating profits and influence, essentially creating a statutory monopoly for their own benefit. Further, the ICD-10-CM coalition includes 3M which will boost its revenues and profits substantially with its implementation and Blue Cross Blue Shield which has its own agenda. Physician groups are not a party to these cooperating parties or coalitions, having only a peripheral involvement. ICD-10-CM creates numerous deficiencies with 500 codes that are more specific in ICD-9-CM than ICD-10-CM. The costs of an implementation are enormous, along with maintenance costs, productivity, and cash disruptions.

Development of an expert based ICD-9-CM and ICD-10-CM map to AIS 2005 update 2008.

PubMed

Loftis, Kathryn L; Price, Janet P; Gillich, Patrick J; Cookman, Kathy J; Brammer, Amy L; St Germain, Trish; Barnes, Jo; Graymire, Vickie; Nayduch, Donna A; Read-Allsopp, Christine; Baus, Katherine; Stanley, Patsye A; Brennan, Maureen

2016-09-01

This article describes how maps were developed from the clinical modifications of the 9th and 10th revisions of the International Classification of Diseases (ICD) to the Abbreviated Injury Scale 2005 Update 2008 (AIS08). The development of the mapping methodology is described, with discussion of the major assumptions used in the process to map ICD codes to AIS severities. There were many intricacies to developing the maps, because the 2 coding systems, ICD and AIS, were developed for different purposes and contain unique classification structures to meet these purposes. Experts in ICD and AIS analyzed the rules and coding guidelines of both injury coding schemes to develop rules for mapping ICD injury codes to the AIS08. This involved subject-matter expertise, detailed knowledge of anatomy, and an in-depth understanding of injury terms and definitions as applied in both taxonomies. The official ICD-9-CM and ICD-10-CM versions (injury sections) were mapped to the AIS08 codes and severities, following the rules outlined in each coding manual. The panel of experts was composed of coders certified in ICD and/or AIS from around the world. In the process of developing the map from ICD to AIS, the experts created rules to address issues with the differences in coding guidelines between the 2 schemas and assure a consistent approach to all codes. Over 19,000 ICD codes were analyzed and maps were generated for each code to AIS08 chapters, AIS08 severities, and Injury Severity Score (ISS) body regions. After completion of the maps, 14,101 (74%) of the eligible 19,012 injury-related ICD-9-CM and ICD-10-CM codes were assigned valid AIS08 severity scores between 1 and 6. The remaining 4,911 codes were assigned an AIS08 of 9 (unknown) or were determined to be nonmappable because the ICD description lacked sufficient qualifying information for determining severity according to AIS rules. There were also 15,214 (80%) ICD codes mapped to AIS08 chapter and ISS body region, which allow for ISS calculations for patient data sets. This mapping between ICD and AIS provides a comprehensive, expert-designed solution for analysts to bridge the data gap between the injury descriptions provided in hospital codes (ICD-9-CM, ICD-10-CM) and injury severity codes (AIS08). By applying consistent rules from both the ICD and AIS taxonomies, the expert panel created these definitive maps, which are the only ones endorsed by the Association for the Advancement of Automotive Medicine (AAAM). Initial validation upheld the quality of these maps for the estimation of AIS severity, but future work should include verification of these maps for MAIS and ISS estimations with large data sets. These ICD-AIS maps will support data analysis from databases with injury information classified in these 2 different systems and open new doors for the investigation of injury from traumatic events using large injury data sets.

Validation of an International Classification of Diseases, Ninth Revision Code Algorithm for Identifying Chiari Malformation Type 1 Surgery in Adults.

PubMed

Greenberg, Jacob K; Ladner, Travis R; Olsen, Margaret A; Shannon, Chevis N; Liu, Jingxia; Yarbrough, Chester K; Piccirillo, Jay F; Wellons, John C; Smyth, Matthew D; Park, Tae Sung; Limbrick, David D

2015-08-01

The use of administrative billing data may enable large-scale assessments of treatment outcomes for Chiari Malformation type I (CM-1). However, to utilize such data sets, validated International Classification of Diseases, Ninth Revision (ICD-9-CM) code algorithms for identifying CM-1 surgery are needed. To validate 2 ICD-9-CM code algorithms identifying patients undergoing CM-1 decompression surgery. We retrospectively analyzed the validity of 2 ICD-9-CM code algorithms for identifying adult CM-1 decompression surgery performed at 2 academic medical centers between 2001 and 2013. Algorithm 1 included any discharge diagnosis code of 348.4 (CM-1), as well as a procedure code of 01.24 (cranial decompression) or 03.09 (spinal decompression, or laminectomy). Algorithm 2 restricted this group to patients with a primary diagnosis of 348.4. The positive predictive value (PPV) and sensitivity of each algorithm were calculated. Among 340 first-time admissions identified by Algorithm 1, the overall PPV for CM-1 decompression was 65%. Among the 214 admissions identified by Algorithm 2, the overall PPV was 99.5%. The PPV for Algorithm 1 was lower in the Vanderbilt (59%) cohort, males (40%), and patients treated between 2009 and 2013 (57%), whereas the PPV of Algorithm 2 remained high (≥99%) across subgroups. The sensitivity of Algorithms 1 (86%) and 2 (83%) were above 75% in all subgroups. ICD-9-CM code Algorithm 2 has excellent PPV and good sensitivity to identify adult CM-1 decompression surgery. These results lay the foundation for studying CM-1 treatment outcomes by using large administrative databases.

Importance of Proper Utilization of International Classification of Diseases 10th Revision and Clinical Documentation in Modern Payment Models.

PubMed

Nichols, Joseph C; Osmani, Feroz A; Sayeed, Yousuf

2016-05-01

Health care payment models are changing rapidly, and the measurement of outcomes and costs is increasing. With the implementation of International Classification of Diseases 10th revision (ICD-10) codes, providers now have the ability to introduce a precise array of diagnoses for their patients. More specific diagnostic codes do not eliminate the potential for vague application, as was seen with the utility of ICD-9. Complete, accurate, and consistent data that reflect the risk, severity, and complexity of care are becoming critically important in this new environment. Orthopedic specialty organizations must be actively involved in influencing the definition of value and risk in the patient population. Now is the time to use the ICD-10 diagnostic codes to improve the management of patient conditions in data. Copyright © 2016 Elsevier Inc. All rights reserved.

Diabetes Mellitus Coding Training for Family Practice Residents.

PubMed

Urse, Geraldine N

2015-07-01

Although physicians regularly use numeric coding systems such as the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to describe patient encounters, coding errors are common. One of the most complicated diagnoses to code is diabetes mellitus. The ICD-9-CM currently has 39 separate codes for diabetes mellitus; this number will be expanded to more than 50 with the introduction of ICD-10-CM in October 2015. To assess the effect of a 1-hour focused presentation on ICD-9-CM codes on diabetes mellitus coding. A 1-hour focused lecture on the correct use of diabetes mellitus codes for patient visits was presented to family practice residents at Doctors Hospital Family Practice in Columbus, Ohio. To assess resident knowledge of the topic, a pretest and posttest were given to residents before and after the lecture, respectively. Medical records of all patients with diabetes mellitus who were cared for at the hospital 6 weeks before and 6 weeks after the lecture were reviewed and compared for the use of diabetes mellitus ICD-9 codes. Eighteen residents attended the lecture and completed the pretest and posttest. The mean (SD) percentage of correct answers was 72.8% (17.1%) for the pretest and 84.4% (14.6%) for the posttest, for an improvement of 11.6 percentage points (P≤.035). The percentage of total available codes used did not substantially change from before to after the lecture, but the use of the generic ICD-9-CM code for diabetes mellitus type II controlled (250.00) declined (58 of 176 [33%] to 102 of 393 [26%]) and the use of other codes increased, indicating a greater variety in codes used after the focused lecture. After a focused lecture on diabetes mellitus coding, resident coding knowledge improved. Review of medical record data did not reveal an overall change in the number of diabetic codes used after the lecture but did reveal a greater variety in the codes used.

The challenge of mapping between two medical coding systems.

PubMed

Wojcik, Barbara E; Stein, Catherine R; Devore, Raymond B; Hassell, L Harrison

2006-11-01

Deployable medical systems patient conditions (PCs) designate groups of patients with similar medical conditions and, therefore, similar treatment requirements. PCs are used by the U.S. military to estimate field medical resources needed in combat operations. Information associated with each of the 389 PCs is based on subject matter expert opinion, instead of direct derivation from standard medical codes. Currently, no mechanisms exist to tie current or historical medical data to PCs. Our study objective was to determine whether reliable conversion between PC codes and International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes is possible. Data were analyzed for three professional coders assigning all applicable ICD-9-CM diagnosis codes to each PC code. Inter-rater reliability was measured by using Cohen's K statistic and percent agreement. Methods were developed to calculate kappa statistics when multiple responses could be selected from many possible categories. Overall, we found moderate support for the possibility of reliable conversion between PCs and ICD-9-CM diagnoses (mean kappa = 0.61). Current PCs should be modified into a system that is verifiable with real data.

Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.

PubMed

Sada, Yvonne; Hou, Jason; Richardson, Peter; El-Serag, Hashem; Davila, Jessica

2016-02-01

Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-9) codes, and evaluated whether natural language processing by the Automated Retrieval Console (ARC) for document classification improves HCC identification. We identified a cohort of patients with ICD-9 codes for HCC during 2005-2010 from Veterans Affairs administrative data. Pathology and radiology reports were reviewed to confirm HCC. The positive predictive value (PPV), sensitivity, and specificity of ICD-9 codes were calculated. A split validation study of pathology and radiology reports was performed to develop and validate ARC algorithms. Reports were manually classified as diagnostic of HCC or not. ARC generated document classification algorithms using the Clinical Text Analysis and Knowledge Extraction System. ARC performance was compared with manual classification. PPV, sensitivity, and specificity of ARC were calculated. A total of 1138 patients with HCC were identified by ICD-9 codes. On the basis of manual review, 773 had HCC. The HCC ICD-9 code algorithm had a PPV of 0.67, sensitivity of 0.95, and specificity of 0.93. For a random subset of 619 patients, we identified 471 pathology reports for 323 patients and 943 radiology reports for 557 patients. The pathology ARC algorithm had PPV of 0.96, sensitivity of 0.96, and specificity of 0.97. The radiology ARC algorithm had PPV of 0.75, sensitivity of 0.94, and specificity of 0.68. A combined approach of ICD-9 codes and natural language processing of pathology and radiology reports improves HCC case identification in automated data.

Validation of the new diagnosis grouping system for pediatric emergency department visits using the International Classification of Diseases, 10th Revision.

PubMed

Lee, Jin Hee; Hong, Ki Jeong; Kim, Do Kyun; Kwak, Young Ho; Jang, Hye Young; Kim, Hahn Bom; Noh, Hyun; Park, Jungho; Song, Bongkyu; Jung, Jae Yun

2013-12-01

A clinically sensible diagnosis grouping system (DGS) is needed for describing pediatric emergency diagnoses for research, medical resource preparedness, and making national policy for pediatric emergency medical care. The Pediatric Emergency Care Applied Research Network (PECARN) developed the DGS successfully. We developed the modified PECARN DGS based on the different pediatric population of South Korea and validated the system to obtain the accurate and comparable epidemiologic data of pediatric emergent conditions of the selected population. The data source used to develop and validate the modified PECARN DGS was the National Emergency Department Information System of South Korea, which was coded by the International Classification of Diseases, 10th Revision (ICD-10) code system. To develop the modified DGS based on ICD-10 code, we matched the selected ICD-10 codes with those of the PECARN DGS by the General Equivalence Mappings (GEMs). After converting ICD-10 codes to ICD-9 codes by GEMs, we matched ICD-9 codes into PECARN DGS categories using the matrix developed by PECARN group. Lastly, we conducted the expert panel survey using Delphi method for the remaining diagnosis codes that were not matched. A total of 1879 ICD-10 codes were used in development of the modified DGS. After 1078 (57.4%) of 1879 ICD-10 codes were assigned to the modified DGS by GEM and PECARN conversion tools, investigators assigned each of the remaining 801 codes (42.6%) to DGS subgroups by 2 rounds of electronic Delphi surveys. And we assigned the remaining 29 codes (4%) into the modified DGS at the second expert consensus meeting. The modified DGS accounts for 98.7% and 95.2% of diagnoses of the 2008 and 2009 National Emergency Department Information System data set. This modified DGS also exhibited strong construct validity using the concepts of age, sex, site of care, and seasons. This also reflected the 2009 outbreak of H1N1 influenza in Korea. We developed and validated clinically feasible and sensible DGS system for describing pediatric emergent conditions in Korea. The modified PECARN DGS showed good comprehensiveness and demonstrated reliable construct validity. This modified DGS based on PECARN DGS framework may be effectively implemented for research, reporting, and resource planning in pediatric emergency system of South Korea.

Accuracy of the new ICD-9-CM code for "drip-and-ship" thrombolytic treatment in patients with ischemic stroke.

PubMed

Tonarelli, Silvina B; Tibbs, Michael; Vazquez, Gabriela; Lakshminarayan, Kamakshi; Rodriguez, Gustavo J; Qureshi, Adnan I

2012-02-01

A new International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code, V45.88, was approved by the Centers for Medicare and Medicaid Services (CMS) on October 1, 2008. This code identifies patients in whom intravenous (IV) recombinant tissue plasminogen activator (rt-PA) is initiated in one hospital's emergency department, followed by transfer within 24 hours to a comprehensive stroke center, a paradigm commonly referred to as "drip-and-ship." This study assessed the use and accuracy of the new V45.88 code for identifying ischemic stroke patients who meet the criteria for drip-and-ship at 2 advanced certified primary stroke centers. Consecutive patients over a 12-month period were identified by primary ICD-9-CM diagnosis codes related to ischemic stroke. The accuracy of V45.88 code utilization using administrative data provided by Health Information Management Services was assessed through a comparison with data collected in prospective stroke registries maintained at each hospital by a trained abstractor. Out of a total of 428 patients discharged from both hospitals with a diagnosis of ischemic stroke, 37 patients were given ICD-9-CM code V45.88. The internally validated data from the prospective stroke database demonstrated that a total of 40 patients met the criteria for drip-and-ship. A concurrent comparison found that 92% (sensitivity) of the patients treated with drip-and-ship were coded with V45.88. None of the non-drip-and-ship stroke cases received the V45.88 code (100% specificity). The new ICD-9-CM code for drip-and-ship appears to have high specificity and sensitivity, allowing effective data collection by the CMS. Copyright © 2012 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Data integration of structured and unstructured sources for assigning clinical codes to patient stays

PubMed Central

Luyckx, Kim; Luyten, Léon; Daelemans, Walter; Van den Bulcke, Tim

2016-01-01

Objective Enormous amounts of healthcare data are becoming increasingly accessible through the large-scale adoption of electronic health records. In this work, structured and unstructured (textual) data are combined to assign clinical diagnostic and procedural codes (specifically ICD-9-CM) to patient stays. We investigate whether integrating these heterogeneous data types improves prediction strength compared to using the data types in isolation. Methods Two separate data integration approaches were evaluated. Early data integration combines features of several sources within a single model, and late data integration learns a separate model per data source and combines these predictions with a meta-learner. This is evaluated on data sources and clinical codes from a broad set of medical specialties. Results When compared with the best individual prediction source, late data integration leads to improvements in predictive power (eg, overall F-measure increased from 30.6% to 38.3% for International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes), while early data integration is less consistent. The predictive strength strongly differs between medical specialties, both for ICD-9-CM diagnostic and procedural codes. Discussion Structured data provides complementary information to unstructured data (and vice versa) for predicting ICD-9-CM codes. This can be captured most effectively by the proposed late data integration approach. Conclusions We demonstrated that models using multiple electronic health record data sources systematically outperform models using data sources in isolation in the task of predicting ICD-9-CM codes over a broad range of medical specialties. PMID:26316458

New Methodology for an Expert-Designed Map From International Classification of Diseases (ICD) to Abbreviated Injury Scale (AIS) 3+ Severity Injury.

PubMed

Zonfrillo, Mark R; Weaver, Ashley A; Gillich, Patrick J; Price, Janet P; Stitzel, Joel D

2015-01-01

There has been a longstanding desire for a map to convert International Classification of Diseases (ICD) injury codes to Abbreviated Injury Scale (AIS) codes to reflect the severity of those diagnoses. The Association for the Advancement of Automotive Medicine (AAAM) was tasked by European Union representatives to create a categorical map classifying diagnoses codes as serious injury (Abbreviated Injury Scale [AIS] 3+), minor/moderate injury (AIS 1/2), or indeterminate. This study's objective was to map injury-related ICD-9-CM (clinical modification) and ICD-10-CM codes to these severity categories. Approximately 19,000 ICD codes were mapped, including injuries from the following categories: amputations, blood vessel injury, burns, crushing injury, dislocations/sprains/strains, foreign body, fractures, internal organ, nerve/spinal cord injury, intracranial, laceration, open wounds, and superficial injury/contusion. Two parallel activities were completed to create the maps: (1) An in-person expert panel and (2) an electronic survey. The panel consisted of expert users of AIS and ICD from North America, the United Kingdom, and Australia. The panel met in person for 5 days, with follow-up virtual meetings to create and revise the maps. Additional qualitative data were documented to resolve potential discrepancies in mapping. The electronic survey was completed by 95 injury coding professionals from North America, Spain, Australia, and New Zealand over 12 weeks. ICD-to-AIS maps were created for: ICD-9-CM and ICD-10-CM. Both maps indicated whether the corresponding AIS 2005/Update 2008 severity score for each ICD code was AIS 3+, 1/2, or indeterminable. Though some ICD codes could be mapped to multiple AIS codes, the maximum severity of all potentially mapped injuries determined the final severity categorization. The in-person panel consisted of 13 experts, with 11 Certified AIS specialists (CAISS) with a median of 8 years and an average of 15 years of coding experience. Consensus was reached for AIS severity categorization for all injury-related ICD codes. There were 95 survey respondents, with a median of 8 years of injury coding experience. Approximately 15 survey responses were collected per ICD code. Results from the 2 activities were compared, and any discrepancies were resolved using additional qualitative and quantitative data from the in-person panel and survey results, respectively. Robust maps of ICD-9-CM and ICD-10-CM injury codes to AIS severity categories (3+ versus <3) were successfully created from an in-person panel discussion and electronic survey. These maps provide a link between the common ICD diagnostic lexicons and the AIS severity coding system and are of value to injury researchers, public health scientists, and epidemiologists using large databases without available AIS coding.

Using Chief Complaint in Addition to Diagnosis Codes to Identify Falls in the Emergency Department.

PubMed

Patterson, Brian W; Smith, Maureen A; Repplinger, Michael D; Pulia, Michael S; Svenson, James E; Kim, Michael K; Shah, Manish N

2017-09-01

To compare incidence of falls in an emergency department (ED) cohort using a traditional International Classification of Diseases, Ninth Revision (ICD-9) code-based scheme and an expanded definition that included chief complaint information and to examine the clinical characteristics of visits "missed" in the ICD-9-based scheme. Retrospective electronic record review. Academic medical center ED. Individuals aged 65 and older seen in the ED between January 1, 2013, and September 30, 2015. Two fall definitions were applied (individually and together) to the cohort: an ICD-9-based definition and a chief complaint definition. Admission rates and 30-day mortality (per encounter) were measured for each definition. Twenty-three thousand eight hundred eighty older adult visits occurred during the study period. Using the most-inclusive definition (ICD-9 code or chief complaint indicating a fall), 4,363 visits (18%) were fall related. Of these visits, 3,506 (80%) met the ICD-9 definition for a fall-related visit, and 2,664 (61%) met the chief complaint definition. Of visits meeting the chief complaint definition, 857 (19.6%) were missed when applying the ICD-9 definition alone. Encounters missed using the ICD-9 definition were less likely to lead to an admission (42.9%, 95% confidence interval (CI) = 39.7-46.3%) than those identified (54.4%, 95% CI = 52.7-56.0%). Identifying individuals in the ED who have fallen based on diagnosis codes underestimates the true burden of falls. Individuals missed according to the code-based definition were less likely to have been admitted than those who were captured. These findings call attention to the value of using chief complaint information to identify individuals who have fallen in the ED-for research, clinical care, or policy reasons. © 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.

Surgical Site Infections Following Pediatric Ambulatory Surgery: An Epidemiologic Analysis.

PubMed

Rinke, Michael L; Jan, Dominique; Nassim, Janelle; Choi, Jaeun; Choi, Steven J

2016-08-01

OBJECTIVE To identify surgical site infection (SSI) rates following pediatric ambulatory surgery, SSI outcomes and risk factors, and sensitivity and specificity of SSI administrative billing codes. DESIGN Retrospective chart review of pediatric ambulatory surgeries with International Classification of Disease, Ninth Revision (ICD-9) codes for SSI, and a systematic random sampling of 5% of surgeries without SSI ICD-9 codes, all adjudicated for SSI on the basis of an ambulatory-adapted National Healthcare Safety Network definition. SETTING Urban pediatric tertiary care center April 1, 2009-March 31, 2014. METHODS SSI rates and sensitivity and specificity of ICD-9 codes were estimated using sampling design, and risk factors were analyzed in case-rest of cohort, and case-control, designs. RESULTS In 15,448 pediatric ambulatory surgeries, 34 patients had ICD-9 codes for SSI and 25 met the adapted National Healthcare Safety Network criteria. One additional SSI was identified with systematic random sampling. The SSI rate following pediatric ambulatory surgery was 2.9 per 1,000 surgeries (95% CI, 1.2-6.9). Otolaryngology surgeries demonstrated significantly lower SSI rates compared with endocrine (P=.001), integumentary (P=.001), male genital (P<.0001), and respiratory (P=.01) surgeries. Almost half of patients with an SSI were admitted, 88% received antibiotics, and 15% returned to the operating room. No risk factors were associated with SSI. The sensitivity of ICD-9 codes for SSI following ambulatory surgery was 55.31% (95% CI, 12.69%-91.33%) and specificity was 99.94% (99.89%-99.97%). CONCLUSIONS SSI following pediatric ambulatory surgery occurs at an appreciable rate and conveys morbidity on children. Infect Control Hosp Epidemiol 2016;37:931-938.

Assessment of algorithms to identify patients with thrombophilia following venous thromboembolism.

PubMed

Delate, Thomas; Hsiao, Wendy; Kim, Benjamin; Witt, Daniel M; Meyer, Melissa R; Go, Alan S; Fang, Margaret C

2016-01-01

Routine testing for thrombophilia following venous thromboembolism (VTE) is controversial. The use of large datasets to study the clinical impact of thrombophilia testing on patterns of care and patient outcomes may enable more efficient analysis of this practice in a wide range of settings. We set out to examine how accurately algorithms using International Classification of Diseases 9th Revision (ICD-9) codes and/or pharmacy data reflect laboratory-confirmed thrombophilia diagnoses. A random sample of adult Kaiser Permanente Colorado patients diagnosed with unprovoked VTE between 1/2004 and 12/2010 underwent medical record abstraction of thrombophilia test results. Algorithms using "ICD-9" (positive if a thrombophilia ICD-9 code was present), "Extended anticoagulation (AC)" (positive if AC therapy duration was >6 months), and "ICD-9 & Extended AC" (positive for both) criteria to identify possible thrombophilia cases were tested. Using positive thrombophilia laboratory results as the gold standard, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value of each algorithm were calculated, along with 95% confidence intervals (CIs). In our cohort of 636 patients, sensitivities were low (<50%) for each algorithm. "ICD-9" yielded the highest PPV (41.5%, 95% CI 26.3-57.9%) and a high specificity (95.9%, 95% CI 94.0-97.4%). "Extended AC" had the highest sensitivity but lowest specificity, and "ICD-9 & Extended AC" had the highest specificity but lowest sensitivity. ICD-9 codes for thrombophilia are highly specific for laboratory-confirmed cases, but all algorithms had low sensitivities. Further development of methods to identify thrombophilia patients in large datasets is warranted. Copyright © 2015 Elsevier Ltd. All rights reserved.

Performance Measures of Diagnostic Codes for Detecting Opioid Overdose in the Emergency Department.

PubMed

Rowe, Christopher; Vittinghoff, Eric; Santos, Glenn-Milo; Behar, Emily; Turner, Caitlin; Coffin, Phillip O

2017-04-01

Opioid overdose mortality has tripled in the United States since 2000 and opioids are responsible for more than half of all drug overdose deaths, which reached an all-time high in 2014. Opioid overdoses resulting in death, however, represent only a small fraction of all opioid overdose events and efforts to improve surveillance of this public health problem should include tracking nonfatal overdose events. International Classification of Disease (ICD) diagnosis codes, increasingly used for the surveillance of nonfatal drug overdose events, have not been rigorously assessed for validity in capturing overdose events. The present study aimed to validate the use of ICD, 9th revision, Clinical Modification (ICD-9-CM) codes in identifying opioid overdose events in the emergency department (ED) by examining multiple performance measures, including sensitivity and specificity. Data on ED visits from January 1, 2012, to December 31, 2014, including clinical determination of whether the visit constituted an opioid overdose event, were abstracted from electronic medical records for patients prescribed long-term opioids for pain from any of six safety net primary care clinics in San Francisco, California. Combinations of ICD-9-CM codes were validated in the detection of overdose events as determined by medical chart review. Both sensitivity and specificity of different combinations of ICD-9-CM codes were calculated. Unadjusted logistic regression models with robust standard errors and accounting for clustering by patient were used to explore whether overdose ED visits with certain characteristics were more or less likely to be assigned an opioid poisoning ICD-9-CM code by the documenting physician. Forty-four (1.4%) of 3,203 ED visits among 804 patients were determined to be opioid overdose events. Opioid-poisoning ICD-9-CM codes (E850.2-E850.2, 965.00-965.09) identified overdose ED visits with a sensitivity of 25.0% (95% confidence interval [CI] = 13.6% to 37.8%) and specificity of 99.9% (95% CI = 99.8% to 100.0%). Expanding the ICD-9-CM codes to include both nonspecified and general (i.e., without a decimal modifier) drug poisoning and drug abuse codes identified overdose ED visits with a sensitivity of 56.8% (95% CI = 43.6%-72.7%) and specificity of 96.2% (95% CI = 94.8%-97.2%). Additional ICD-9-CM codes not explicitly relevant to opioid overdose were necessary to further enhance sensitivity. Among the 44 overdose ED visits, neither naloxone administration during the visit, whether the patient responded to the naloxone, nor the specific opioids involved were associated with the assignment of an opioid poisoning ICD-9-CM code (p ≥ 0.05). Tracking opioid overdose ED visits by diagnostic coding is fairly specific but insensitive, and coding was not influenced by administration of naloxone or the specific opioids involved. The reason for the high rate of missed cases is uncertain, although these results suggest that a more clearly defined case definition for overdose may be necessary to ensure effective opioid overdose surveillance. Changes in coding practices under ICD-10 might help to address these deficiencies. © 2016 by the Society for Academic Emergency Medicine.

[Cause-of-death statistics and ICD, quo vadis?

PubMed

Eckert, Olaf; Vogel, Ulrich

2018-07-01

The International Statistical Classification of Diseases and Related Health Problems (ICD) is the worldwide binding standard for generating underlying cause-of-death statistics. What are the effects of former revisions of the ICD on underlying cause-of-death statistics and which opportunities and challenges are becoming apparent in a possible transition process from ICD-10 to ICD-11?This article presents the calculation of the exploitation grade of ICD-9 and ICD-10 in the German cause-of-death statistics and quality of documentation. Approximately 67,000 anonymized German death certificates are processed by Iris/MUSE and official German cause-of-death statistics are analyzed.In addition to substantial changes in the exploitation grade in the transition from ICD-9 to ICD-10, regional effects become visible. The rate of so-called "ill-defined" conditions exceeds 10%.Despite substantial improvement of ICD revisions there are long-known deficits in the coroner's inquest, filling death certificates and quality of coding. To make better use of the ICD as a methodological framework for mortality statistics and health reporting in Germany, the following measures are necessary: 1. General use of Iris/MUSE, 2. Establishing multiple underlying cause-of-death statistics, 3. Introduction of an electronic death certificate, 4. Improvement of the medical assessment of cause of death.Within short time the WHO will release the 11th revision of the ICD that will provide additional opportunities for the development of underlying cause-of-death statistics and their use in science, public health and politics. A coordinated effort including participants in the process and users is necessary to meet the related challenges.

Accuracy of ICD-10 Coding System for Identifying Comorbidities and Infectious Conditions Using Data from a Thai University Hospital Administrative Database.

PubMed

Rattanaumpawan, Pinyo; Wongkamhla, Thanyarak; Thamlikitkul, Visanu

2016-04-01

To determine the accuracy of International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system in identifying comorbidities and infectious conditions using data from a Thai university hospital administrative database. A retrospective cross-sectional study was conducted among patients hospitalized in six general medicine wards at Siriraj Hospital. ICD-10 code data was identified and retrieved directly from the hospital administrative database. Patient comorbidities were captured using the ICD-10 coding algorithm for the Charlson comorbidity index. Infectious conditions were captured using the groups of ICD-10 diagnostic codes that were carefully prepared by two independent infectious disease specialists. Accuracy of ICD-10 codes combined with microbiological dataf or diagnosis of urinary tract infection (UTI) and bloodstream infection (BSI) was evaluated. Clinical data gathered from chart review was considered the gold standard in this study. Between February 1 and May 31, 2013, a chart review of 546 hospitalization records was conducted. The mean age of hospitalized patients was 62.8 ± 17.8 years and 65.9% of patients were female. Median length of stay [range] was 10.0 [1.0-353.0] days and hospital mortality was 21.8%. Conditions with ICD-10 codes that had good sensitivity (90% or higher) were diabetes mellitus and HIV infection. Conditions with ICD-10 codes that had good specificity (90% or higher) were cerebrovascular disease, chronic lung disease, diabetes mellitus, cancer HIV infection, and all infectious conditions. By combining ICD-10 codes with microbiological results, sensitivity increased from 49.5 to 66%for UTI and from 78.3 to 92.8%for BS. The ICD-10 coding algorithm is reliable only in some selected conditions, including underlying diabetes mellitus and HIV infection. Combining microbiological results with ICD-10 codes increased sensitivity of ICD-10 codes for identifying BSI. Future research is needed to improve the accuracy of hospital administrative coding system in Thailand.

Flexible patient information search and retrieval framework: pilot implementation

NASA Astrophysics Data System (ADS)

Erdal, Selnur; Catalyurek, Umit V.; Saltz, Joel; Kamal, Jyoti; Gurcan, Metin N.

2007-03-01

Medical centers collect and store significant amount of valuable data pertaining to patients' visit in the form of medical free-text. In addition, standardized diagnosis codes (International Classification of Diseases, Ninth Revision, Clinical Modification: ICD9-CM) related to those dictated reports are usually available. In this work, we have created a framework where image searches could be initiated through a combination of free-text reports as well as ICD9 codes. This framework enables more comprehensive search on existing large sets of patient data in a systematic way. The free text search is enriched by computer-aided inclusion of additional search terms enhanced by a thesaurus. This combination of enriched search allows users to access to a larger set of relevant results from a patient-centric PACS in a simpler way. Therefore, such framework is of particular use in tasks such as gathering images for desired patient populations, building disease models, and so on. As the motivating application of our framework, we implemented a search engine. This search engine processed two years of patient data from the OSU Medical Center's Information Warehouse and identified lung nodule location information using a combination of UMLS Meta-Thesaurus enhanced text report searches along with ICD9 code searches on patients that have been discharged. Five different queries with various ICD9 codes involving lung cancer were carried out on 172552 cases. Each search was completed under a minute on average per ICD9 code and the inclusion of UMLS thesaurus increased the number of relevant cases by 45% on average.

Validating malignant melanoma ICD-9-CM codes in Umbria, ASL Napoli 3 Sud and Friuli Venezia Giulia administrative healthcare databases: a diagnostic accuracy study.

PubMed

Orso, Massimiliano; Serraino, Diego; Abraha, Iosief; Fusco, Mario; Giovannini, Gianni; Casucci, Paola; Cozzolino, Francesco; Granata, Annalisa; Gobbato, Michele; Stracci, Fabrizio; Ciullo, Valerio; Vitale, Maria Francesca; Eusebi, Paolo; Orlandi, Walter; Montedori, Alessandro; Bidoli, Ettore

2018-04-20

To assess the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in identifying subjects with melanoma. A diagnostic accuracy study comparing melanoma ICD-9-CM codes (index test) with medical chart (reference standard). Case ascertainment was based on neoplastic lesion of the skin and a histological diagnosis from a primary or metastatic site positive for melanoma. Administrative databases from Umbria Region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) and Friuli Venezia Giulia (FVG) Region. 112, 130 and 130 cases (subjects with melanoma) were randomly selected from Umbria, NA and FVG, respectively; 94 non-cases (subjects without melanoma) were randomly selected from each unit. Sensitivity and specificity for ICD-9-CM code 172.x located in primary position. The most common melanoma subtype was malignant melanoma of skin of trunk, except scrotum (ICD-9-CM code: 172.5), followed by malignant melanoma of skin of lower limb, including hip (ICD-9-CM code: 172.7). The mean age of the patients ranged from 60 to 61 years. Most of the diagnoses were performed in surgical departments.The sensitivities were 100% (95% CI 96% to 100%) for Umbria, 99% (95% CI 94% to 100%) for NA and 98% (95% CI 93% to 100%) for FVG. The specificities were 88% (95% CI 80% to 93%) for Umbria, 77% (95% CI 69% to 85%) for NA and 79% (95% CI 71% to 86%) for FVG. The case definition for melanoma based on clinical or instrumental diagnosis, confirmed by histological examination, showed excellent sensitivities and good specificities in the three operative units. Administrative databases from the three operative units can be used for epidemiological and outcome research of melanoma. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Validating malignant melanoma ICD-9-CM codes in Umbria, ASL Napoli 3 Sud and Friuli Venezia Giulia administrative healthcare databases: a diagnostic accuracy study

PubMed Central

Orso, Massimiliano; Serraino, Diego; Fusco, Mario; Giovannini, Gianni; Casucci, Paola; Cozzolino, Francesco; Granata, Annalisa; Gobbato, Michele; Stracci, Fabrizio; Ciullo, Valerio; Vitale, Maria Francesca; Orlandi, Walter; Montedori, Alessandro; Bidoli, Ettore

2018-01-01

Objectives To assess the accuracy of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in identifying subjects with melanoma. Design A diagnostic accuracy study comparing melanoma ICD-9-CM codes (index test) with medical chart (reference standard). Case ascertainment was based on neoplastic lesion of the skin and a histological diagnosis from a primary or metastatic site positive for melanoma. Setting Administrative databases from Umbria Region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) and Friuli Venezia Giulia (FVG) Region. Participants 112, 130 and 130 cases (subjects with melanoma) were randomly selected from Umbria, NA and FVG, respectively; 94 non-cases (subjects without melanoma) were randomly selected from each unit. Outcome measures Sensitivity and specificity for ICD-9-CM code 172.x located in primary position. Results The most common melanoma subtype was malignant melanoma of skin of trunk, except scrotum (ICD-9-CM code: 172.5), followed by malignant melanoma of skin of lower limb, including hip (ICD-9-CM code: 172.7). The mean age of the patients ranged from 60 to 61 years. Most of the diagnoses were performed in surgical departments. The sensitivities were 100% (95% CI 96% to 100%) for Umbria, 99% (95% CI 94% to 100%) for NA and 98% (95% CI 93% to 100%) for FVG. The specificities were 88% (95% CI 80% to 93%) for Umbria, 77% (95% CI 69% to 85%) for NA and 79% (95% CI 71% to 86%) for FVG. Conclusions The case definition for melanoma based on clinical or instrumental diagnosis, confirmed by histological examination, showed excellent sensitivities and good specificities in the three operative units. Administrative databases from the three operative units can be used for epidemiological and outcome research of melanoma. PMID:29678984

Predicting in-hospital mortality of traffic victims: A comparison between AIS-and ICD-9-CM-related injury severity scales when only ICD-9-CM is reported.

PubMed

Van Belleghem, Griet; Devos, Stefanie; De Wit, Liesbet; Hubloue, Ives; Lauwaert, Door; Pien, Karen; Putman, Koen

2016-01-01

Injury severity scores are important in the context of developing European and national goals on traffic safety, health-care benchmarking and improving patient communication. Various severity scores are available and are mostly based on Abbreviated Injury Scale (AIS) or International Classification of Diseases (ICD). The aim of this paper is to compare the predictive value for in-hospital mortality between the various severity scores if only International Classification of Diseases, 9th revision, Clinical Modification ICD-9-CM is reported. To estimate severity scores based on the AIS lexicon, ICD-9-CM codes were converted with ICD Programmes for Injury Categorization (ICDPIC) and four AIS-based severity scores were derived: Maximum AIS (MaxAIS), Injury Severity Score (ISS), New Injury Severity Score (NISS) and Exponential Injury Severity Score (EISS). Based on ICD-9-CM, six severity scores were calculated. Determined by the number of injuries taken into account and the means by which survival risk ratios (SRRs) were calculated, four different approaches were used to calculate the ICD-9-based Injury Severity Scores (ICISS). The Trauma Mortality Prediction Model (TMPM) was calculated with the ICD-9-CM-based model averaged regression coefficients (MARC) for both the single worst injury and multiple injuries. Severity scores were compared via model discrimination and calibration. Model comparisons were performed separately for the severity scores based on the single worst injury and multiple injuries. For ICD-9-based scales, estimation of area under the receiver operating characteristic curve (AUROC) ranges between 0.94 and 0.96, while AIS-based scales range between 0.72 and 0.76, respectively. The intercept in the calibration plots is not significantly different from 0 for MaxAIS, ICISS and TMPM. When only ICD-9-CM codes are reported, ICD-9-CM-based severity scores perform better than severity scores based on the conversion to AIS. Copyright © 2015 Elsevier Ltd. All rights reserved.

Validity of the coding for herpes simplex encephalitis in the Danish National Patient Registry.

PubMed

Jørgensen, Laura Krogh; Dalgaard, Lars Skov; Østergaard, Lars Jørgen; Andersen, Nanna Skaarup; Nørgaard, Mette; Mogensen, Trine Hyrup

2016-01-01

Large health care databases are a valuable source of infectious disease epidemiology if diagnoses are valid. The aim of this study was to investigate the accuracy of the recorded diagnosis coding of herpes simplex encephalitis (HSE) in the Danish National Patient Registry (DNPR). The DNPR was used to identify all hospitalized patients, aged ≥15 years, with a first-time diagnosis of HSE according to the International Classification of Diseases, tenth revision (ICD-10), from 2004 to 2014. To validate the coding of HSE, we collected data from the Danish Microbiology Database, from departments of clinical microbiology, and from patient medical records. Cases were classified as confirmed, probable, or no evidence of HSE. We estimated the positive predictive value (PPV) of the HSE diagnosis coding stratified by diagnosis type, study period, and department type. Furthermore, we estimated the proportion of HSE cases coded with nonspecific ICD-10 codes of viral encephalitis and also the sensitivity of the HSE diagnosis coding. We were able to validate 398 (94.3%) of the 422 HSE diagnoses identified via the DNPR. Hereof, 202 (50.8%) were classified as confirmed cases and 29 (7.3%) as probable cases providing an overall PPV of 58.0% (95% confidence interval [CI]: 53.0-62.9). For "Encephalitis due to herpes simplex virus" (ICD-10 code B00.4), the PPV was 56.6% (95% CI: 51.1-62.0). Similarly, the PPV for "Meningoencephalitis due to herpes simplex virus" (ICD-10 code B00.4A) was 56.8% (95% CI: 39.5-72.9). "Herpes viral encephalitis" (ICD-10 code G05.1E) had a PPV of 75.9% (95% CI: 56.5-89.7), thereby representing the highest PPV. The estimated sensitivity was 95.5%. The PPVs of the ICD-10 diagnosis coding for adult HSE in the DNPR were relatively low. Hence, the DNPR should be used with caution when studying patients with encephalitis caused by herpes simplex virus.

78 FR 72576 - Criteria for a Catastrophically Disabled Determination for Purposes of Enrollment

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-03

... Procedural Terminology (CPT[supreg]) codes. The revisions ensure that the regulation is not out of date when... trademark of the American Medical Association. CPT codes and descriptions are copyrighted by the American Medical Association. All rights reserved.) This approach will soon be outdated; the ICD-9-CM and CPT...

Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study.

PubMed

Ock, Minsu; Kim, Hwa Jung; Jeon, Bomin; Kim, Ye-Jee; Ryu, Hyun Mi; Lee, Moo-Song

2018-01-01

The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using International Classification of Diseases, tenth revision (ICD-10) Y codes. We used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). We relied on medical treatment databases to extract information on ICD-10 Y codes from each participant in the NHIS-NSC. We classified adverse events in the ICD-10 Y codes into 6 types: those related to drugs, transfusions, and fluids; those related to vaccines and immunoglobulin; those related to surgery and procedures; those related to infections; those related to devices; and others. Over 12 years, a total of 20 817 adverse events were identified using ICD-10 Y codes, and the estimated total adverse event rate was 0.20%. Between 2002 and 2013, the total number of such events increased by 131.3%, from 1366 in 2002 to 3159 in 2013. The total rate increased by 103.9%, from 0.17% in 2002 to 0.35% in 2013. Events related to drugs, transfusions, and fluids were the most common (19 446, 93.4%), followed by those related to surgery and procedures (1209, 5.8%) and those related to vaccines and immunoglobulin (72, 0.3%). Based on a comparison with the results of other studies, the total adverse event rate in this study was significantly underestimated. Improving coding practices for ICD-10 Y codes is necessary to precisely monitor the scale of adverse events in Korea.

Development of structured ICD-10 and its application to computer-assisted ICD coding.

PubMed

Imai, Takeshi; Kajino, Masayuki; Sato, Megumi; Ohe, Kazuhiko

2010-01-01

This paper presents: (1) a framework of formal representation of ICD10, which functions as a bridge between ontological information and natural language expressions; and (2) a methodology to use formally described ICD10 for computer-assisted ICD coding. First, we analyzed and structurized the meanings of categories in 15 chapters of ICD10. Then we expanded the structured ICD10 (S-ICD10) by adding subordinate concepts and labels derived from Japanese Standard Disease Names. The information model to describe formal representation was refined repeatedly. The resultant model includes 74 types of semantic links. We also developed an ICD coding module based on S-ICD10 and a 'Coding Principle,' which achieved high accuracy (>70%) for four chapters. These results not only demonstrate the basic feasibility of our coding framework but might also inform the development of the information model for formal description framework in the ICD11 revision.

Increased prevalence of third-degree atrioventricular block in patients with type II diabetes mellitus.

PubMed

Movahed, Mohammad-Reza; Hashemzadeh, Mehrtash; Jamal, M Mazen

2005-10-01

Diabetes mellitus (DM) is a major risk for cardiovascular disease and mortality. There is some evidence that third-degree atrioventricular (AV) block occurs more commonly in patients with DM. In this study, we evaluated any possible association between DM and third-degree AV block using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes in a very large inpatient database. We used patient treatment files containing discharge diagnoses using ICD-9 codes of inpatient treatment from all Veterans Health Administration hospitals. The cohort was stratified using the ICD-9-CM code for DM (n = 293,124), a control group with hypertension but no DM (n = 552,623), and the ICD-9 code for third-degree AV block (426.0) and smoking (305.1, V15.82). We performed multivariate analysis adjusting for coronary artery disease, congestive heart failure, smoking, and hyperlipidemia. Continuous and binary variables were analyzed using chi2 and Fisher exact tests. Third-degree AV block diagnosis was present in 3,240 of DM patients (1.1%) vs 3,367 patients (0.6%) in the control group. Using multivariate analysis, DM remained strongly associated with third-degree AV block (odds ratio, 3.1; 95% confidential interval, 3.0 to 3.3; p < 0.0001). Third-degree AV block occurs significantly more in patients with DM. This finding may, in part, explain the high cardiovascular mortality in DM patients.

Clinician's Primer to ICD-10-CM Coding for Cleft Lip/Palate Care.

PubMed

Allori, Alexander C; Cragan, Janet D; Della Porta, Gina C; Mulliken, John B; Meara, John G; Bruun, Richard; Shusterman, Stephen; Cassell, Cynthia H; Raynor, Eileen; Santiago, Pedro; Marcus, Jeffrey R

2017-01-01

On October 1, 2015, the United States required use of the Clinical Modification of the International Classification of Diseases, 10th Revision (ICD-10-CM) for diagnostic coding. This primer was written to assist the cleft care community with understanding and use of ICD-10-CM for diagnostic coding related to cleft lip and/or palate (CL/P).

Coding update of the SMFM definition of low risk for cesarean delivery from ICD-9-CM to ICD-10-CM.

PubMed

Armstrong, Joanne; McDermott, Patricia; Saade, George R; Srinivas, Sindhu K

2017-07-01

In 2015, the Society for Maternal-Fetal Medicine developed a low risk for cesarean delivery definition based on administrative claims-based diagnosis codes described by the International Classification of Diseases, Ninth Revision, Clinical Modification. The Society for Maternal-Fetal Medicine definition is a clinical enrichment of 2 available measures from the Joint Commission and the Agency for Healthcare Research and Quality measures. The Society for Maternal-Fetal Medicine measure excludes diagnosis codes that represent clinically relevant risk factors that are absolute or relative contraindications to vaginal birth while retaining diagnosis codes such as labor disorders that are discretionary risk factors for cesarean delivery. The introduction of the International Statistical Classification of Diseases, 10th Revision, Clinical Modification in October 2015 expanded the number of available diagnosis codes and enabled a greater depth and breadth of clinical description. These coding improvements further enhance the clinical validity of the Society for Maternal-Fetal Medicine definition and its potential utility in tracking progress toward the goal of safely lowering the US cesarean delivery rate. This report updates the Society for Maternal-Fetal Medicine definition of low risk for cesarean delivery using International Statistical Classification of Diseases, 10th Revision, Clinical Modification coding. Copyright © 2017. Published by Elsevier Inc.

The impact of ICD-9 revascularization procedure codes on estimates of racial disparities in ischemic stroke.

PubMed

Boan, Andrea D; Voeks, Jenifer H; Feng, Wuwei Wayne; Bachman, David L; Jauch, Edward C; Adams, Robert J; Ovbiagele, Bruce; Lackland, Daniel T

2014-01-01

The use of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) diagnostic codes can identify racial disparities in ischemic stroke hospitalizations; however, inclusion of revascularization procedure codes as acute stroke events may affect the magnitude of the risk difference. This study assesses the impact of excluding revascularization procedure codes in the ICD-9 definition of ischemic stroke, compared with the traditional inclusive definition, on racial disparity estimates for stroke incidence and recurrence. Patients discharged with a diagnosis of ischemic stroke (ICD-9 codes 433.00-434.91 and 436) were identified from a statewide inpatient discharge database from 2010 to 2012. Race-age specific disparity estimates of stroke incidence and recurrence and 1-year cumulative recurrent stroke rates were compared between the routinely used traditional classification and a modified classification of stroke that excluded primary ICD-9 cerebral revascularization procedures codes (38.12, 00.61, and 00.63). The traditional classification identified 7878 stroke hospitalizations, whereas the modified classification resulted in 18% fewer hospitalizations (n = 6444). The age-specific black to white rate ratios were significantly higher in the modified than in the traditional classification for stroke incidence (rate ratio, 1.50; 95% confidence interval [CI], 1.43-1.58 vs. rate ratio, 1.24; 95% CI, 1.18-1.30, respectively). In whites, the 1-year cumulative recurrence rate was significantly reduced by 46% (45-64 years) and 49% (≥ 65 years) in the modified classification, largely explained by a higher rate of cerebral revascularization procedures among whites. There were nonsignificant reductions of 14% (45-64 years) and 19% (≥ 65 years) among blacks. Including cerebral revascularization procedure codes overestimates hospitalization rates for ischemic stroke and significantly underestimates the racial disparity estimates in stroke incidence and recurrence. Copyright © 2014 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Measuring quality of care in syncope: case definition affects reported electrocardiogram use but does not bias reporting.

PubMed

Schuur, Jeremiah D; Justice, Amy

2009-01-01

The objective was to calculate agreement between syncope as a reason for visiting (RFV) an emergency department (ED) and as a discharge diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9]), to determine whether syncope case definition biases reported electrocardiogram (ECG) usage, a national quality measure. The authors analyzed the ED portion of the National Hospital Ambulatory Medical Care Survey (NHAMCS), 1993-2004, for patients age >or=18 years. A visit was defined as being for syncope if it received one of three RFV or ICD-9 codes. Agreement between RFV and ICD-9 codes was calculated, and the percentages of syncope patients (RFV vs. ICD-9) who had an ECG were compared using chi-square and multivariate logistic regression. Raw agreement between syncope as an RFV and as an ICD-9 diagnosis code was 30.1% (95% confidence interval [CI] = 32.6% to 35.5%), representing only moderate agreement beyond chance (kappa = 0.50). ECG utilization was lower among visits defined by RFV (64.1%; 95% CI = 62.0% to 66.3%) than for ICD-9 diagnosis (73.6%; 95% CI = 71.4% to 75.8%). There was no meaningful variation in adjusted ECG use by patient, visit, or hospital characteristics between case definitions. Adjusted ECG use was lower under both case definitions among female patients and discharged patients and increased with age (p < 0.05). Despite only moderate agreement, syncope case definition should not bias reported ECG rate by patient, visit, or hospital characteristics. Among ED patients with syncope, ECG is performed less frequently in women, a potentially important disparity.

Evaluation of the Components of the North Carolina Syndromic Surveillance System Heat Syndrome Case Definition.

PubMed

Harduar Morano, Laurel; Waller, Anna E

To improve heat-related illness surveillance, we evaluated and refined North Carolina's heat syndrome case definition. We analyzed North Carolina emergency department (ED) visits during 2012-2014. We evaluated the current heat syndrome case definition (ie, keywords in chief complaint/triage notes or International Classification of Diseases, Ninth Revision, Clinical Modification [ ICD-9-CM] codes) and additional heat-related inclusion and exclusion keywords. We calculated the positive predictive value and sensitivity of keyword-identified ED visits and manually reviewed ED visits to identify true positives and false positives. The current heat syndrome case definition identified 8928 ED visits; additional inclusion keywords identified another 598 ED visits. Of 4006 keyword-identified ED visits, 3216 (80.3%) were captured by 4 phrases: "heat ex" (n = 1674, 41.8%), "overheat" (n = 646, 16.1%), "too hot" (n = 594, 14.8%), and "heatstroke" (n = 302, 7.5%). Among the 267 ED visits identified by keyword only, a burn diagnosis or the following keywords resulted in a false-positive rate >95%: "burn," "grease," "liquid," "oil," "radiator," "antifreeze," "hot tub," "hot spring," and "sauna." After applying the revised inclusion and exclusion criteria, we identified 9132 heat-related ED visits: 2157 by keyword only, 5493 by ICD-9-CM code only, and 1482 by both (sensitivity = 27.0%, positive predictive value = 40.7%). Cases identified by keywords were strongly correlated with cases identified by ICD-9-CM codes (rho = .94, P < .001). Revising the heat syndrome case definition through the use of additional inclusion and exclusion criteria substantially improved the accuracy of the surveillance system. Other jurisdictions may benefit from refining their heat syndrome case definition.

Validity of the coding for herpes simplex encephalitis in the Danish National Patient Registry

PubMed Central

Jørgensen, Laura Krogh; Dalgaard, Lars Skov; Østergaard, Lars Jørgen; Andersen, Nanna Skaarup; Nørgaard, Mette; Mogensen, Trine Hyrup

2016-01-01

Background Large health care databases are a valuable source of infectious disease epidemiology if diagnoses are valid. The aim of this study was to investigate the accuracy of the recorded diagnosis coding of herpes simplex encephalitis (HSE) in the Danish National Patient Registry (DNPR). Methods The DNPR was used to identify all hospitalized patients, aged ≥15 years, with a first-time diagnosis of HSE according to the International Classification of Diseases, tenth revision (ICD-10), from 2004 to 2014. To validate the coding of HSE, we collected data from the Danish Microbiology Database, from departments of clinical microbiology, and from patient medical records. Cases were classified as confirmed, probable, or no evidence of HSE. We estimated the positive predictive value (PPV) of the HSE diagnosis coding stratified by diagnosis type, study period, and department type. Furthermore, we estimated the proportion of HSE cases coded with nonspecific ICD-10 codes of viral encephalitis and also the sensitivity of the HSE diagnosis coding. Results We were able to validate 398 (94.3%) of the 422 HSE diagnoses identified via the DNPR. Hereof, 202 (50.8%) were classified as confirmed cases and 29 (7.3%) as probable cases providing an overall PPV of 58.0% (95% confidence interval [CI]: 53.0–62.9). For “Encephalitis due to herpes simplex virus” (ICD-10 code B00.4), the PPV was 56.6% (95% CI: 51.1–62.0). Similarly, the PPV for “Meningoencephalitis due to herpes simplex virus” (ICD-10 code B00.4A) was 56.8% (95% CI: 39.5–72.9). “Herpes viral encephalitis” (ICD-10 code G05.1E) had a PPV of 75.9% (95% CI: 56.5–89.7), thereby representing the highest PPV. The estimated sensitivity was 95.5%. Conclusion The PPVs of the ICD-10 diagnosis coding for adult HSE in the DNPR were relatively low. Hence, the DNPR should be used with caution when studying patients with encephalitis caused by herpes simplex virus. PMID:27330328

Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm.

PubMed

Ladner, Travis R; Greenberg, Jacob K; Guerrero, Nicole; Olsen, Margaret A; Shannon, Chevis N; Yarbrough, Chester K; Piccirillo, Jay F; Anderson, Richard C E; Feldstein, Neil A; Wellons, John C; Smyth, Matthew D; Park, Tae Sung; Limbrick, David D

2016-05-01

OBJECTIVE Administrative billing data may facilitate large-scale assessments of treatment outcomes for pediatric Chiari malformation Type I (CM-I). Validated International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code algorithms for identifying CM-I surgery are critical prerequisites for such studies but are currently only available for adults. The objective of this study was to validate two ICD-9-CM code algorithms using hospital billing data to identify pediatric patients undergoing CM-I decompression surgery. METHODS The authors retrospectively analyzed the validity of two ICD-9-CM code algorithms for identifying pediatric CM-I decompression surgery performed at 3 academic medical centers between 2001 and 2013. Algorithm 1 included any discharge diagnosis code of 348.4 (CM-I), as well as a procedure code of 01.24 (cranial decompression) or 03.09 (spinal decompression or laminectomy). Algorithm 2 restricted this group to the subset of patients with a primary discharge diagnosis of 348.4. The positive predictive value (PPV) and sensitivity of each algorithm were calculated. RESULTS Among 625 first-time admissions identified by Algorithm 1, the overall PPV for CM-I decompression was 92%. Among the 581 admissions identified by Algorithm 2, the PPV was 97%. The PPV for Algorithm 1 was lower in one center (84%) compared with the other centers (93%-94%), whereas the PPV of Algorithm 2 remained high (96%-98%) across all subgroups. The sensitivity of Algorithms 1 (91%) and 2 (89%) was very good and remained so across subgroups (82%-97%). CONCLUSIONS An ICD-9-CM algorithm requiring a primary diagnosis of CM-I has excellent PPV and very good sensitivity for identifying CM-I decompression surgery in pediatric patients. These results establish a basis for utilizing administrative billing data to assess pediatric CM-I treatment outcomes.

Use of the Spine Adverse Events Severity System (SAVES) in patients with traumatic spinal cord injury. A comparison with institutional ICD-10 coding for the identification of acute care adverse events.

PubMed

Street, J T; Thorogood, N P; Cheung, A; Noonan, V K; Chen, J; Fisher, C G; Dvorak, M F

2013-06-01

Observational cohort comparison. To compare the previously validated Spine Adverse Events Severity system (SAVES) with International Classification of Diseases, Tenth Revision codes (ICD-10) codes for identifying adverse events (AEs) in patients with traumatic spinal cord injury (TSCI). Quaternary Care Spine Program. Patients discharged between 2006 and 2010 were identified from our prospective registry. Two consecutive cohorts were created based on the system used to record acute care AEs; one used ICD-10 coding by hospital coders and the other used SAVES data prospectively collected by a multidisciplinary clinical team. The ICD-10 codes were appropriately mapped to the SAVES. There were 212 patients in the ICD-10 cohort and 173 patients in the SAVES cohort. Analyses were adjusted to account for the different sample sizes, and the two cohorts were comparable based on age, gender and motor score. The SAVES system identified twice as many AEs per person as ICD-10 coding. Fifteen unique AEs were more reliably identified using SAVES, including neuropathic pain (32 × more; P<0.001), urinary tract infections (1.4 × ; P<0.05), pressure sores (2.9 × ; P<0.001) and intra-operative AEs (2.3 × ; P<0.05). Eight of these 15 AEs more frequently identified by SAVES significantly impacted length of stay (P<0.05). Risk factors such as patient age and severity of paralysis were more reliably correlated to AEs collected through SAVES than ICD-10. Implementation of the SAVES system for patients with TSCI captured more individuals experiencing AEs and more AEs per person compared with ICD-10 codes. This study demonstrates the utility of prospectively collecting AE data using validated tools.

Validity of the International Classification of Diseases 10th revision code for hospitalisation with hyponatraemia in elderly patients

PubMed Central

Gandhi, Sonja; Shariff, Salimah Z; Fleet, Jamie L; Weir, Matthew A; Jain, Arsh K; Garg, Amit X

2012-01-01

Objective To evaluate the validity of the International Classification of Diseases, 10th Revision (ICD-10) diagnosis code for hyponatraemia (E87.1) in two settings: at presentation to the emergency department and at hospital admission. Design Population-based retrospective validation study. Setting Twelve hospitals in Southwestern Ontario, Canada, from 2003 to 2010. Participants Patients aged 66 years and older with serum sodium laboratory measurements at presentation to the emergency department (n=64 581) and at hospital admission (n=64 499). Main outcome measures Sensitivity, specificity, positive predictive value and negative predictive value comparing various ICD-10 diagnostic coding algorithms for hyponatraemia to serum sodium laboratory measurements (reference standard). Median serum sodium values comparing patients who were code positive and code negative for hyponatraemia. Results The sensitivity of hyponatraemia (defined by a serum sodium ≤132 mmol/l) for the best-performing ICD-10 coding algorithm was 7.5% at presentation to the emergency department (95% CI 7.0% to 8.2%) and 10.6% at hospital admission (95% CI 9.9% to 11.2%). Both specificities were greater than 99%. In the two settings, the positive predictive values were 96.4% (95% CI 94.6% to 97.6%) and 82.3% (95% CI 80.0% to 84.4%), while the negative predictive values were 89.2% (95% CI 89.0% to 89.5%) and 87.1% (95% CI 86.8% to 87.4%). In patients who were code positive for hyponatraemia, the median (IQR) serum sodium measurements were 123 (119–126) mmol/l and 125 (120–130) mmol/l in the two settings. In code negative patients, the measurements were 138 (136–140) mmol/l and 137 (135–139) mmol/l. Conclusions The ICD-10 diagnostic code for hyponatraemia differentiates between two groups of patients with distinct serum sodium measurements at both presentation to the emergency department and at hospital admission. However, these codes underestimate the true incidence of hyponatraemia due to low sensitivity. PMID:23274673

Validity of ICD-9-CM Coding for Identifying Incident Methicillin-Resistant Staphylococcus aureus (MRSA) Infections: Is MRSA Infection Coded as a Chronic Disease?

PubMed Central

Schweizer, Marin L.; Eber, Michael R.; Laxminarayan, Ramanan; Furuno, Jon P.; Popovich, Kyle J.; Hota, Bala; Rubin, Michael A.; Perencevich, Eli N.

2013-01-01

BACKGROUND AND OBJECTIVE Investigators and medical decision makers frequently rely on administrative databases to assess methicillin-resistant Staphylococcus aureus (MRSA) infection rates and outcomes. The validity of this approach remains unclear. We sought to assess the validity of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code for infection with drug-resistant microorganisms (V09) for identifying culture-proven MRSA infection. DESIGN Retrospective cohort study. METHODS All adults admitted to 3 geographically distinct hospitals between January 1, 2001, and December 31, 2007, were assessed for presence of incident MRSA infection, defined as an MRSA-positive clinical culture obtained during the index hospitalization, and presence of the V09 ICD-9-CM code. The k statistic was calculated to measure the agreement between presence of MRSA infection and assignment of the V09 code. Sensitivities, specificities, positive predictive values, and negative predictive values were calculated. RESULTS There were 466,819 patients discharged during the study period. Of the 4,506 discharged patients (1.0%) who had the V09 code assigned, 31% had an incident MRSA infection, 20% had prior history of MRSA colonization or infection but did not have an incident MRSA infection, and 49% had no record of MRSA infection during the index hospitalization or the previous hospitalization. The V09 code identified MRSA infection with a sensitivity of 24% (range, 21%–34%) and positive predictive value of 31% (range, 22%–53%). The agreement between assignment of the V09 code and presence of MRSA infection had a κ coefficient of 0.26 (95% confidence interval, 0.25–0.27). CONCLUSIONS In its current state, the ICD-9-CM code V09 is not an accurate predictor of MRSA infection and should not be used to measure rates of MRSA infection. PMID:21460469

75 FR 23105 - Medicare Program; Inpatient Psychiatric Facilities Prospective Payment System Payment-Update for...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-04-30

... Disorders Fourth Edition--Text Revision. DRGs Diagnosis-related groups. FY Federal fiscal year. ICD-9-CM...) coding and diagnosis-related groups (DRGs) classification changes discussed in the annual update to the... for the following patient-level characteristics: Medicare Severity diagnosis related groups (MS-DRGs...

Validity of the International Classification of Diseases 10th revision code for hyperkalaemia in elderly patients at presentation to an emergency department and at hospital admission

PubMed Central

Fleet, Jamie L; Shariff, Salimah Z; Gandhi, Sonja; Weir, Matthew A; Jain, Arsh K; Garg, Amit X

2012-01-01

Objectives Evaluate the validity of the International Classification of Diseases, 10th revision (ICD-10) code for hyperkalaemia (E87.5) in two settings: at presentation to an emergency department and at hospital admission. Design Population-based validation study. Setting 12 hospitals in Southwestern Ontario, Canada, from 2003 to 2010. Participants Elderly patients with serum potassium values at presentation to an emergency department (n=64 579) and at hospital admission (n=64 497). Primary outcome Sensitivity, specificity, positive-predictive value and negative-predictive value. Serum potassium values in patients with and without a hyperkalaemia code (code positive and code negative, respectively). Results The sensitivity of the best-performing ICD-10 coding algorithm for hyperkalaemia (defined by serum potassium >5.5 mmol/l) was 14.1% (95% CI 12.5% to 15.9%) at presentation to an emergency department and 14.6% (95% CI 13.3% to 16.1%) at hospital admission. Both specificities were greater than 99%. In the two settings, the positive-predictive values were 83.2% (95% CI 78.4% to 87.1%) and 62.0% (95% CI 57.9% to 66.0%), while the negative-predictive values were 97.8% (95% CI 97.6% to 97.9%) and 96.9% (95% CI 96.8% to 97.1%). In patients who were code positive for hyperkalaemia, median (IQR) serum potassium values were 6.1 (5.7 to 6.8) mmol/l at presentation to an emergency department and 6.0 (5.1 to 6.7) mmol/l at hospital admission. For code-negative patients median (IQR) serum potassium values were 4.0 (3.7 to 4.4) mmol/l and 4.1 (3.8 to 4.5) mmol/l in each of the two settings, respectively. Conclusions Patients with hospital encounters who were ICD-10 E87.5 hyperkalaemia code positive and negative had distinct higher and lower serum potassium values, respectively. However, due to very low sensitivity, the incidence of hyperkalaemia is underestimated. PMID:23274674

Validity and reliability of chronic tic disorder and obsessive-compulsive disorder diagnoses in the Swedish National Patient Register.

PubMed

Rück, Christian; Larsson, K Johan; Lind, Kristina; Perez-Vigil, Ana; Isomura, Kayoko; Sariaslan, Amir; Lichtenstein, Paul; Mataix-Cols, David

2015-06-22

The usefulness of cases diagnosed in administrative registers for research purposes is dependent on diagnostic validity. This study aimed to investigate the validity and inter-rater reliability of recorded diagnoses of tic disorders and obsessive-compulsive disorder (OCD) in the Swedish National Patient Register (NPR). Chart review of randomly selected register cases and controls. 100 tic disorder cases and 100 OCD cases were randomly selected from the NPR based on codes from the International Classification of Diseases (ICD) 8th, 9th and 10th editions, together with 50 epilepsy and 50 depression control cases. The obtained psychiatric records were blindly assessed by 2 senior psychiatrists according to the criteria of the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) and ICD-10. Positive predictive value (PPV; cases diagnosed correctly divided by the sum of true positives and false positives). Between 1969 and 2009, the NPR included 7286 tic disorder and 24,757 OCD cases. The vast majority (91.3% of tic cases and 80.1% of OCD cases) are coded with the most recent ICD version (ICD-10). For tic disorders, the PPV was high across all ICD versions (PPV=89% in ICD-8, 86% in ICD-9 and 97% in ICD-10). For OCD, only ICD-10 codes had high validity (PPV=91-96%). None of the epilepsy or depression control cases were wrongly diagnosed as having tic disorders or OCD, respectively. Inter-rater reliability was outstanding for both tic disorders (κ=1) and OCD (κ=0.98). The validity and reliability of ICD codes for tic disorders and OCD in the Swedish NPR is generally high. We propose simple algorithms to further increase the confidence in the validity of these codes for epidemiological research. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

42 CFR Appendix A to Part 81 - Glossary of ICD-9 Codes and Their Cancer Descriptions 1

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 1 2010-10-01 2010-10-01 false Glossary of ICD-9 Codes and Their Cancer.... 81, App. A Appendix A to Part 81—Glossary of ICD-9 Codes and Their Cancer Descriptions 1 ICD-9 code Cancer description 140 Malignant neoplasm of lip. 141 Malignant neoplasm of tongue. 142 Malignant...

77 FR 54663 - Administrative Simplification: Adoption of a Standard for a Unique Health Plan Identifier...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-05

...This final rule adopts the standard for a national unique health plan identifier (HPID) and establishes requirements for the implementation of the HPID. In addition, it adopts a data element that will serve as an other entity identifier (OEID), or an identifier for entities that are not health plans, health care providers, or individuals, but that need to be identified in standard transactions. This final rule also specifies the circumstances under which an organization covered health care provider must require certain noncovered individual health care providers who are prescribers to obtain and disclose a National Provider Identifier (NPI). Lastly, this final rule changes the compliance date for the International Classification of Diseases, 10th Revision, Clinical Modification (ICD- 10-CM) for diagnosis coding, including the Official ICD-10-CM Guidelines for Coding and Reporting, and the International Classification of Diseases, 10th Revision, Procedure Coding System (ICD-10-PCS) for inpatient hospital procedure coding, including the Official ICD-10-PCS Guidelines for Coding and Reporting, from October 1, 2013 to October 1, 2014.

Simulation of ICD-9 to ICD-10-CM transition for family medicine: simple or convoluted?

PubMed Central

Grief, Samuel N.; Patel, Jesal; Lussier, Yves A.; Li, Jianrong; Burton, Michael; Boyd, Andrew D.

2017-01-01

Objectives The objective of this study was to examine the impact of the transition from International Classification of Disease Version Nine Clinical Modification (ICD-9-CM) to Interactional Classification of Disease Version Ten Clinical Modification (ICD-10-CM) on family medicine and identify areas where additional training might be required. Methods Family medicine ICD-9-CM codes were obtained from an Illinois Medicaid data set (113,000 patient visits and $5.5 million dollars in claims). Using the science of networks we evaluated each ICD-9-CM code used by family medicine physicians to determine if the transition was simple or convoluted.1 A simple translation is defined as one ICD-9-CM code mapping to one ICD-10-CM code or one ICD-9-CM code mapping to multiple ICD-10-CM codes. A convoluted transition is where the transitions between coding systems is non-reciprocal and complex with multiple codes where definitions become intertwined. Three family medicine physicians evaluated the most frequently encountered complex mappings for clinical accuracy. Results Of the 1635 diagnosis codes used by the family medicine physicians, 70% of the codes were categorized as simple, 27% of the diagnosis codes were convoluted and 3% were found to have no mapping. For the visits, 75%, 24%, and 1% corresponded with simple, convoluted, and no mapping, respectively. Payment for submitted claims were similarly aligned. Of the frequently encountered convoluted codes, 3 diagnosis codes were clinically incorrect, but they represent only < 0.1% of the overall diagnosis codes. Conclusions The transition to ICD-10-CM is simple for 70% or more of diagnosis codes, visits, and reimbursement for a family medicine physician. However, some frequently used codes for disease management are convoluted and incorrect, where additional resources need to be invested to ensure a successful transition to ICD-10-CM. PMID:26769875

A Comprehensive Approach to Convert a Radiology Department From Coding Based on International Classification of Diseases, Ninth Revision, to Coding Based on International Classification of Diseases, Tenth Revision.

PubMed

McBee, Morgan P; Laor, Tal; Pryor, Rebecca M; Smith, Rachel; Hardin, Judy; Ulland, Lisa; May, Sally; Zhang, Bin; Towbin, Alexander J

2018-02-01

The purpose of this study was to adapt our radiology reports to provide the documentation required for specific International Classification of Diseases, tenth rev (ICD-10) diagnosis coding. Baseline data were analyzed to identify the reports with the greatest number of unspecified ICD-10 codes assigned by computer-assisted coding software. A two-part quality improvement initiative was subsequently implemented. The first component involved improving clinical histories by utilizing technologists to obtain information directly from the patients or caregivers, which was then imported into the radiologist's report within the speech recognition software. The second component involved standardization of report terminology and creation of four different structured report templates to determine which yielded the fewest reports with an unspecified ICD-10 code assigned by an automated coding engine. In all, 12,077 reports were included in the baseline analysis. Of these, 5,151 (43%) had an unspecified ICD-10 code. The majority of deficient reports were for radiographs (n = 3,197; 62%). Inadequacies included insufficient clinical history provided and lack of detailed fracture descriptions. Therefore, the focus was standardizing terminology and testing different structured reports for radiographs obtained for fractures. At baseline, 58% of radiography reports contained a complete clinical history with improvement to >95% 8 months later. The total number of reports that contained an unspecified ICD-10 code improved from 43% at baseline to 27% at completion of this study (P < .0001). The number of radiology studies with a specific ICD-10 code can be improved through quality improvement methodology, specifically through the use of technologist-acquired clinical histories and structured reporting. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Depathologising gender diversity in childhood in the process of ICD revision and reform.

PubMed

Suess Schwend, Amets; Winter, Sam; Chiam, Zhan; Smiley, Adam; Cabral Grinspan, Mauro

2018-01-24

From 2007 on, the World Health Organisation (WHO) has been revising its diagnostic manual, the International Statistical Classification of Diseases and Related Health Problems (ICD), with approval of ICD-11 due in 2018. The ICD revision has prompted debates on diagnostic classifications related to gender diversity and gender development processes, and specifically on the 'Gender incongruence of childhood' (GIC) code. These debates have taken place at a time an emergent trans depathologisation movement is becoming increasingly international, and regional and international human rights bodies are recognising gender identity as a source of discrimination. With reference to the history of diagnostic classification of gender diversity in childhood, this paper conducts a literature review of academic, activist and institutional documents related to the current discussion on the merits of retaining or abandoning the GIC code. Within this broader discussion, the paper reviews in more detail recent publications arguing for the abandonment of this diagnostic code drawing upon clinical, bioethical and human rights perspectives. The review indicates that gender diverse children engaged in exploring their gender identity and expression do not benefit from diagnosis. Instead they benefit from support from their families, their schools and from society more broadly.

Development of the ICD-10 simplified version and field test.

PubMed

Paoin, Wansa; Yuenyongsuwan, Maliwan; Yokobori, Yukiko; Endo, Hiroyoshi; Kim, Sukil

2018-05-01

The International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) has been used in various Asia-Pacific countries for more than 20 years. Although ICD-10 is a powerful tool, clinical coding processes are complex; therefore, many developing countries have not been able to implement ICD-10-based health statistics (WHO-FIC APN, 2007). This study aimed to simplify ICD-10 clinical coding processes, to modify index terms to facilitate computer searching and to provide a simplified version of ICD-10 for use in developing countries. The World Health Organization Family of International Classifications Asia-Pacific Network (APN) developed a simplified version of the ICD-10 and conducted field testing in Cambodia during February and March 2016. Ten hospitals were selected to participate. Each hospital sent a team to join a training workshop before using the ICD-10 simplified version to code 100 cases. All hospitals subsequently sent their coded records to the researchers. Overall, there were 1038 coded records with a total of 1099 ICD clinical codes assigned. The average accuracy rate was calculated as 80.71% (66.67-93.41%). Three types of clinical coding errors were found. These related to errors relating to the coder (14.56%), those resulting from the physician documentation (1.27%) and those considered system errors (3.46%). The field trial results demonstrated that the APN ICD-10 simplified version is feasible for implementation as an effective tool to implement ICD-10 clinical coding for hospitals. Developing countries may consider adopting the APN ICD-10 simplified version for ICD-10 code assignment in hospitals and health care centres. The simplified version can be viewed as an introductory tool which leads to the implementation of the full ICD-10 and may support subsequent ICD-11 adoption.

Cost and quality implications of discrepancies between admitting and discharge diagnoses.

PubMed

McNutt, Robert; Johnson, Tricia; Kane, Jason; Ackerman, Mariel; Odwazny, Richard; Bardhan, Jaydeep

2012-01-01

Presenting and discharge diagnoses of hospitalized patients may differ as a result of patient complexity, diagnostic dilemmas, or errors in clinical judgment at the time of primary assessment. When diagnoses at admission and discharge are not in agreement, this discrepancy may indicate more complex processes of care and resultant costs. It is unclear whether surrogate measures reflecting quality of care are impacted by discrepant diagnoses. To assess whether an association exists between admitting and discharge International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes and other quality markers including hospital length of stay, total cost of care, and 30-day readmission rate. This was a retrospective, cross-sectional analysis of general internal medicine patients aged 18 years and older. Diagnosis discrepancy was defined as a difference between the 3-digit ICD-9 diagnosis code at admission and the principal 3-digit ICD-9 diagnosis code at discharge. Sixty-eight percent of patients had a diagnosis discrepancy. Diagnosis discrepancy was associated with a 0.41-day increase in length of stay (P < .001), $663 increase in direct costs (P < .001), and a 1.55 times greater odds of readmission within 30 days (P < .001). Diagnosis discrepancy was associated with hospital quality outcome measures. This finding likely reflects variations in patients' diagnostic complexity.

Results from the Veterans Health Administration ICD-10-CM/PCS Coding Pilot Study.

PubMed

Weems, Shelley; Heller, Pamela; Fenton, Susan H

2015-01-01

The Veterans Health Administration (VHA) of the US Department of Veterans Affairs has been preparing for the October 1, 2015, conversion to the International Classification of Diseases, Tenth Revision, Clinical Modification and Procedural Coding System (ICD-10-CM/PCS) for more than four years. The VHA's Office of Informatics and Analytics ICD-10 Program Management Office established an ICD-10 Learning Lab to explore expected operational challenges. This study was conducted to determine the effects of the classification system conversion on coding productivity. ICD codes are integral to VHA business processes and are used for purposes such as clinical studies, performance measurement, workload capture, cost determination, Veterans Equitable Resource Allocation (VERA) determination, morbidity and mortality classification, indexing of hospital records by disease and operations, data storage and retrieval, research purposes, and reimbursement. The data collection for this study occurred in multiple VHA sites across several months using standardized methods. It is commonly accepted that coding productivity will decrease with the implementation of ICD-10-CM/PCS. The findings of this study suggest that the decrease will be more significant for inpatient coding productivity (64.5 percent productivity decrease) than for ambulatory care coding productivity (6.7 percent productivity decrease). This study reveals the following important points regarding ICD-10-CM/PCS coding productivity: 1. Ambulatory care ICD-10-CM coding productivity is not expected to decrease as significantly as inpatient ICD-10-CM/PCS coding productivity. 2. Coder training and type of record (inpatient versus outpatient) affect coding productivity. 3. Inpatient coding productivity is decreased when a procedure requiring ICD-10-PCS coding is present. It is highly recommended that organizations perform their own analyses to determine the effects of ICD-10-CM/PCS implementation on coding productivity.

Results from the Veterans Health Administration ICD-10-CM/PCS Coding Pilot Study

PubMed Central

Weems, Shelley; Heller, Pamela; Fenton, Susan H.

2015-01-01

The Veterans Health Administration (VHA) of the US Department of Veterans Affairs has been preparing for the October 1, 2015, conversion to the International Classification of Diseases, Tenth Revision, Clinical Modification and Procedural Coding System (ICD-10-CM/PCS) for more than four years. The VHA's Office of Informatics and Analytics ICD-10 Program Management Office established an ICD-10 Learning Lab to explore expected operational challenges. This study was conducted to determine the effects of the classification system conversion on coding productivity. ICD codes are integral to VHA business processes and are used for purposes such as clinical studies, performance measurement, workload capture, cost determination, Veterans Equitable Resource Allocation (VERA) determination, morbidity and mortality classification, indexing of hospital records by disease and operations, data storage and retrieval, research purposes, and reimbursement. The data collection for this study occurred in multiple VHA sites across several months using standardized methods. It is commonly accepted that coding productivity will decrease with the implementation of ICD-10-CM/PCS. The findings of this study suggest that the decrease will be more significant for inpatient coding productivity (64.5 percent productivity decrease) than for ambulatory care coding productivity (6.7 percent productivity decrease). This study reveals the following important points regarding ICD-10-CM/PCS coding productivity: Ambulatory care ICD-10-CM coding productivity is not expected to decrease as significantly as inpatient ICD-10-CM/PCS coding productivity.Coder training and type of record (inpatient versus outpatient) affect coding productivity.Inpatient coding productivity is decreased when a procedure requiring ICD-10-PCS coding is present. It is highly recommended that organizations perform their own analyses to determine the effects of ICD-10-CM/PCS implementation on coding productivity. PMID:26396553

Effect of Obesity on Complication Rate After Elbow Arthroscopy in a Medicare Population.

PubMed

Werner, Brian C; Fashandi, Ahmad H; Chhabra, A Bobby; Deal, D Nicole

2016-03-01

To use a national insurance database to explore the association of obesity with the incidence of complications after elbow arthroscopy in a Medicare population. Using Current Procedural Terminology (CPT) and International Classification of Diseases, 9th Revision (ICD-9) procedure codes, we queried the PearlDiver database for patients undergoing elbow arthroscopy. Patients were divided into obese (body mass index [BMI] >30) and nonobese (BMI <30) cohorts using ICD-9 codes for BMI and obesity. Nonobese patients were matched to obese patients based on age, sex, tobacco use, diabetes, and rheumatoid arthritis. Postoperative complications were assessed with ICD-9 and Current Procedural Terminology codes, including infection, nerve injury, stiffness, and medical complications. A total of 2,785 Medicare patients who underwent elbow arthroscopy were identified from 2005 to 2012; 628 patients (22.5%) were coded as obese or morbidly obese, and 628 matched nonobese patients formed the control group. There were no differences between the obese patients and matched control nonobese patients regarding type of elbow arthroscopy, previous elbow fracture or previous elbow arthroscopy. Obese patients had greater rates of all assessed complications, including infection (odds ratio [OR] 2.8, P = .037), nerve injury (OR 5.4, P = .001), stiffness (OR 1.9, P = .016) and medical complications (OR 6.9, P < .0001). Obesity is associated with significantly increased rates of all assessed complications after elbow arthroscopy in a Medicare population, including infection, nerve injury, stiffness, and medical complications. Therapeutic Level III, case-control study. Copyright © 2016 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Mortality Among Veterans with Transgender-Related Diagnoses in the Veterans Health Administration, FY2000-2009.

PubMed

Blosnich, John R; Brown, George R; Wojcio, Sybil; Jones, Kenneth T; Bossarte, Robert M

2014-12-01

The aims of this project were to document all-cause and suicide mortality among Veteran Healthcare Administration (VHA) utilizers with The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis consistent with transgender status. The study population consisted of VHA patients identified as having any one of four diagnosis codes indicating transgender status (n=5,117) gathered from the VA National Patient Care Database. Mortality data were gathered from the National Death Index from 2000-2009 for 1,277 veterans with transgender-related ICD-9-CM diagnoses. The remaining 3,840 were not searched because they had VHA utilization after 2009 (indicating they were alive). Person-time at risk (person-years) for crude rates were calculated based on the time from an individual's index diagnosis to either death or the end of FY 2009. Causes of death were categorized using ICD-10 code groups. Approximately 9.3% (n=309) veterans with transgender-related ICD-9-CM diagnoses died across the study period. Although diseases of the circulatory system and neoplasms were the first and second leading causes of death, respectively, the other ranked causes of mortality differed somewhat from patterns for the US during the same time span. The crude suicide rate among veterans with transgender-related ICD-9-CM diagnoses across the 10-year period was approximately 82/100,000 person-years, which approximated the crude suicide death rates for other serious mental illness in VHA (e.g., depression, schizophrenia). The average age of suicide decedents was 49.4 years. The crude suicide rate among veterans with transgender-related ICD-9-CM diagnoses is higher than in the general population, and they may be dying by suicide at younger ages than their veteran peers without transgender-related ICD-9-CM diagnoses. Future research, such as age-adjusted rates or accounting for psychiatric co-morbidities, will help to better clarify if the all-cause and suicide mortality rates are elevated for veterans with transgender-related ICD-9-CM diagnoses.

ICD Social Codes: An Underutilized Resource for Tracking Social Needs.

PubMed

Torres, Jacqueline M; Lawlor, John; Colvin, Jeffrey D; Sills, Marion R; Bettenhausen, Jessica L; Davidson, Amber; Cutler, Gretchen J; Hall, Matt; Gottlieb, Laura M

2017-09-01

Social determinants of health (SDH) data collected in health care settings could have important applications for clinical decision-making, population health strategies, and the design of performance-based incentives and penalties. One source for cataloging SDH data is the International Statistical Classification of Diseases and Related Health Problems (ICD). To explore how SDH are captured with ICD Ninth revision SDH V codes in a national inpatient discharge database. Data come from the 2013 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample, a national stratified sample of discharges from 4363 hospitals from 44 US states. We estimate the rate of ICD-9 SDH V code utilization overall and by patient demographics and payer categories. We additionally estimate the rate of SDH V code utilization for: (a) the 5 most common reasons for hospitalization; and (b) the 5 conditions with the highest rates of SDH V code utilization. Fewer than 2% of overall discharges in the National Inpatient Sample were assigned an SDH V code. There were statistically significant differences in the rate of overall SDH V code utilization by age categories, race/ethnicity, sex, and payer (all P<0.001). Nevertheless, SDH V codes were assigned to <7% of discharges in any demographic or payer subgroup. SDH V code utilization was highest for major diagnostic categories related to mental health and alcohol/substance use-related discharges. SDH V codes are infrequently utilized in inpatient settings for discharges other than those related to mental health and alcohol/substance use. Utilization incentives will likely need to be developed to realize the potential benefits of cataloging SDH information.

Use of hospital discharge data to monitor uterine rupture--Massachusetts, 1990-1997.

PubMed

2000-03-31

Uterine rupture (UR), a potentially life-threatening condition for both mother and infant, occurs in <0.1% of all pregnant women and <1% of women attempting vaginal birth after cesarean section (VBAC) (1-4). During 1990-1997, the proportion of vaginal deliveries among women who had previous cesarean sections (CS) in Massachusetts increased 50%, from 22.3% to 33.5% (5). Concern about a corresponding increase in UR prompted the Massachusetts Department of Public Health and CDC to initiate a state-wide investigation that included an assessment of the validity and reliability of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) (6), codes in hospital discharge data to identify UR cases. This report summarizes the results of the investigation, which indicate that ICD-9-CM codes related to UR, designed before increased concern about UR, lack adequate specificity for UR surveillance and have not been applied consistently over time.

Design and validation of a methodology using the International Classification of Diseases, 9th Revision, to identify secondary conditions in people with disabilities.

PubMed

Chan, Leighton; Shumway-Cook, Anne; Yorkston, Kathryn M; Ciol, Marcia A; Dudgeon, Brian J; Hoffman, Jeanne M

2005-05-01

To design and validate a methodology that identifies secondary conditions using International Classification of Disease, 9th Revision (ICD-9) codes. Secondary conditions were identified through a literature search and a survey of Washington State physiatrists. These conditions were translated into ICD-9 codes and this list was then validated against a national sample of Medicare survey respondents with differing levels of mobility and activities of daily living (ADL) disability. National survey. Participants (N=9731) in the 1999 Medicare Current Beneficiary Survey with no, mild, moderate, and severe mobility and ADL disability. Not applicable. Percentage of survey respondents with a secondary condition. The secondary conditions were grouped into 4 categories: medical, psychosocial, musculoskeletal, and dysphagia related (problems associated with difficulty in swallowing). Our literature search and survey of 26 physiatrists identified 64 secondary conditions, including depression, decubitus ulcers, and deconditioning. Overall, 70.4% of all survey respondents were treated for a secondary condition. We found a significant relation between increasing mobility as well as ADL disability and increasing numbers of secondary conditions (chi 2 test for trend, P <.001). This relation existed for all categories of secondary conditions: medical (chi 2 test for trend, P <.001), psychosocial (chi 2 test for trend, P <.001), musculoskeletal (chi 2 test for trend, P <.001), and dysphagia related (chi 2 test for trend, P <.001). We created a valid ICD-9-based methodology that identified secondary conditions in Medicare survey respondents and discriminated between people with different degrees of disability. This methodology will be useful for health services researchers who study the frequency and impact of secondary conditions.

ICD-10 codes used to identify adverse drug events in administrative data: a systematic review.

PubMed

Hohl, Corinne M; Karpov, Andrei; Reddekopp, Lisa; Doyle-Waters, Mimi; Stausberg, Jürgen

2014-01-01

Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events. We developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner. Of 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156-289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0-59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set. Substantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area.

ICD-10 codes used to identify adverse drug events in administrative data: a systematic review

PubMed Central

Hohl, Corinne M; Karpov, Andrei; Reddekopp, Lisa; Stausberg, Jürgen

2014-01-01

Background Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events. Methods We developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner. Results Of 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156–289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0–59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set. Conclusions Substantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area. PMID:24222671

An Evaluation of Comparability between NEISS and ICD-9-CM Injury Coding

PubMed Central

Thompson, Meghan C.; Wheeler, Krista K.; Shi, Junxin; Smith, Gary A.; Xiang, Huiyun

2014-01-01

Objective To evaluate the National Electronic Injury Surveillance System’s (NEISS) comparability with a data source that uses ICD-9-CM coding. Methods A sample of NEISS cases from a children’s hospital in 2008 was selected, and cases were linked with their original medical record. Medical records were reviewed and an ICD-9-CM code was assigned to each case. Cases in the NEISS sample that were non-injuries by ICD-9-CM standards were identified. A bridging matrix between the NEISS and ICD-9-CM injury coding systems, by type of injury classification, was proposed and evaluated. Results Of the 2,890 cases reviewed, 13.32% (n = 385) were non-injuries according to the ICD-9-CM diagnosis. Using the proposed matrix, the comparability of the NEISS with ICD-9-CM coding was favorable among injury cases (κ = 0.87, 95% CI: 0.85–0.88). The distribution of injury types among the entire sample was similar for the two systems, with percentage differences ≥1% for only open wounds or amputation, poisoning, and other or unspecified injury types. Conclusions There is potential for conducting comparable injury research using NEISS and ICD-9-CM data. Due to the inclusion of some non-injuries in the NEISS and some differences in type of injury definitions between NEISS and ICD-9-CM coding, best practice for studies using NEISS data obtained from the CPSC should include manual review of case narratives. Use of the standardized injury and injury type definitions presented in this study will facilitate more accurate comparisons in injury research. PMID:24658100

An evaluation of comparability between NEISS and ICD-9-CM injury coding.

PubMed

Thompson, Meghan C; Wheeler, Krista K; Shi, Junxin; Smith, Gary A; Xiang, Huiyun

2014-01-01

To evaluate the National Electronic Injury Surveillance System's (NEISS) comparability with a data source that uses ICD-9-CM coding. A sample of NEISS cases from a children's hospital in 2008 was selected, and cases were linked with their original medical record. Medical records were reviewed and an ICD-9-CM code was assigned to each case. Cases in the NEISS sample that were non-injuries by ICD-9-CM standards were identified. A bridging matrix between the NEISS and ICD-9-CM injury coding systems, by type of injury classification, was proposed and evaluated. Of the 2,890 cases reviewed, 13.32% (n = 385) were non-injuries according to the ICD-9-CM diagnosis. Using the proposed matrix, the comparability of the NEISS with ICD-9-CM coding was favorable among injury cases (κ = 0.87, 95% CI: 0.85-0.88). The distribution of injury types among the entire sample was similar for the two systems, with percentage differences ≥1% for only open wounds or amputation, poisoning, and other or unspecified injury types. There is potential for conducting comparable injury research using NEISS and ICD-9-CM data. Due to the inclusion of some non-injuries in the NEISS and some differences in type of injury definitions between NEISS and ICD-9-CM coding, best practice for studies using NEISS data obtained from the CPSC should include manual review of case narratives. Use of the standardized injury and injury type definitions presented in this study will facilitate more accurate comparisons in injury research.

Piloting a Collaborative Web-Based System for Testing ICD-11.

PubMed

Donada, Marc; Kostanjsek, Nenad; Della Mea, Vincenzo; Celik, Can; Jakob, Robert

2017-01-01

The 11^th revision of the International Classification of Diseases (ICD-11), for the first time in ICD history, deployed web-based collaboration of experts and ICT tools. To ensure that ICD-11 is working well, it needs to be systematically field tested in different settings, across the world. This will be done by means of a number of experiments. In order to support its implementation, a web-based system (ICDfit) has been designed and developed. The present paper illustrates the current prototype of the system and its technical testing. the system has been designed according to WHO requirements, and implemented using PHP and MySQL. Then, a preliminary technical test has been designed and run in January 2016, involving 8 users. They had to carry out double coding, that is, coding case summaries with both ICD-10 and ICD-11, and answering quick questions on the coding difficulty. the 8 users coded 632 cases each, spending an average of 163 seconds per case. While we found an issue in the mechanism used to record coding times, no further issues were found. the proposed system seems to be technically adequate for supporting future ICD-11 testing.

Predictive ability of positive clinical culture results and International Classification of Diseases, Ninth Revision, to identify and classify noninvasive Staphylococcus aureus infections: a validation study.

PubMed

Tracy, LaRee A; Furuno, Jon P; Harris, Anthony D; Singer, Mary; Langenberg, Patricia; Roghmann, Mary-Claire

2010-07-01

To develop and validate an algorithm to identify and classify noninvasive infections due to Staphylococcus aureus by using positive clinical culture results and administrative data. Retrospective cohort study. Veterans Affairs Maryland Health Care System. Data were collected retrospectively on all S. aureus clinical culture results from samples obtained from nonsterile body sites during October 1998 through September 2008 and associated administrative claims records. An algorithm was developed to identify noninvasive infections on the basis of a unique S. aureus-positive culture result from a nonsterile site sample with a matching International Classification of Diseases, Ninth Revision (ICD-9-CM), code for infection at time of sampling. Medical records of a subset of cases were reviewed to find the proportion of true noninvasive infections (cases that met the Centers for Disease Control and Prevention National Healthcare Safety Network [NHSN] definition of infection). Positive predictive value (PPV) and negative predictive value (NPV) were calculated for all infections and according to body site of infection. We identified 4,621 unique S. aureus-positive culture results, of which 2,816 (60.9%) results met our algorithm definition of noninvasive S. aureus infection and 1,805 (39.1%) results lacked a matching ICD-9-CM code. Among 96 cases that met our algorithm criteria for noninvasive S. aureus infection, 76 also met the NHSN criteria (PPV, 79.2% [95% confidence interval, 70.0%-86.1%]). Among 98 cases that failed to meet the algorithm criteria, 80 did not meet the NHSN criteria (NPV, 81.6% [95% confidence interval, 72.8%-88.0%]). The PPV of all culture results was 55.4%. The algorithm was most predictive for skin and soft-tissue infections and bone and joint infections. When culture-based surveillance methods are used, the addition of administrative ICD-9-CM codes for infection can increase the PPV of true noninvasive S. aureus infection over the use of positive culture results alone.

Epigenetic Patterns of PTSD: DNA Methylation In Serum of OIF/OEF Servicemembers

DTIC Science & Technology

2011-01-01

ascertained via query of the International Classification of Diseases , 9th Revision (ICD-9) codes 290-320. To attempt to control for confounding by other...other CNS tissues is not clear. Although relevant to a different class of disease , many of the aberrations that have been detected in the DNA of...valuable diagnostic tool in various diseases . (50-53) Compared with cultured cells, clinical specimens, such as whole blood, serum, and even brain

PS3-11: Beyond General Equivalency Mappings (GEMs): Understanding the Implications of ICD 10 in Research

PubMed Central

Riordan, Rick

2013-01-01

Background/Aims With the implementation of ICD 10 CM and ICD 10 PCS less than two years away, there are still unanswered questions as to how research teams will effectively translate or use ICD 10 codes in research. Approximately 84% of the ICD 10 codes have only approximate matches with 10% having multiple matches and only 5% have exact one-to-one matches between ICD 9 and ICD 10. With the number of codes increasing five-fold, this offers additional opportunities and risks when pulling data. Methods Besides looking at the General Equivalency Mappings and other tools that are used to translate ICD 9 codes to ICD 10 codes, we will examine some common research areas where only approximate matches between ICD 9 and ICD 10 exist. We will also discuss how the finer level of detail that ICD 10 gives allows research teams to pinpoint exactly what type of asthma, Crohn’s disease, and diabetic retinopathy they wish to study without including some of the other cases that do not meet their research criteria. Results There are significant ambiguities and irregularity in several common areas such as diabetes, mental health, asthma, and gastroenterology due to approximate, multiple, or combination matches. Even in the case of exact matches such as an old myocardial infarction where there is an exact match, the definition of when a myocardial infarction becomes “old” is different. Conclusions ICD 10 offers a finer level of detail and a higher level of specificity, thereby allowing research teams to be more targeted when pulling data. On the other hand, research teams need to exercise caution when using GEMs and other tools to translate ICD 9 codes into ICD 10 codes and vice versa, especially if they are looking at data that overlaps the implementation date of October 1, 2014.

Open-access programs for injury categorization using ICD-9 or ICD-10.

PubMed

Clark, David E; Black, Adam W; Skavdahl, David H; Hallagan, Lee D

2018-04-09

The article introduces Programs for Injury Categorization, using the International Classification of Diseases (ICD) and R statistical software (ICDPIC-R). Starting with ICD-8, methods have been described to map injury diagnosis codes to severity scores, especially the Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS). ICDPIC was originally developed for this purpose using Stata, and ICDPIC-R is an open-access update that accepts both ICD-9 and ICD-10 codes. Data were obtained from the National Trauma Data Bank (NTDB), Admission Year 2015. ICDPIC-R derives CDC injury mechanism categories and an approximate ISS ("RISS") from either ICD-9 or ICD-10 codes. For ICD-9-coded cases, RISS is derived similar to the Stata package (with some improvements reflecting user feedback). For ICD-10-coded cases, RISS may be calculated in several ways: The "GEM" methods convert ICD-10 to ICD-9 (using General Equivalence Mapping tables from CMS) and then calculate ISS with options similar to the Stata package; a "ROCmax" method calculates RISS directly from ICD-10 codes, based on diagnosis-specific mortality in the NTDB, maximizing the C-statistic for predicting NTDB mortality while attempting to minimize the difference between RISS and ISS submitted by NTDB registrars (ISSAIS). Findings were validated using data from the National Inpatient Survey (NIS, 2015). NTDB contained 917,865 cases, of which 86,878 had valid ICD-10 injury codes. For a random 100,000 ICD-9-coded cases in NTDB, RISS using the GEM methods was nearly identical to ISS calculated by the Stata version, which has been previously validated. For ICD-10-coded cases in NTDB, categorized ISS using any version of RISS was similar to ISSAIS; for both NTDB and NIS cases, increasing ISS was associated with increasing mortality. Prediction of NTDB mortality was associated with C-statistics of 0.81 for ISSAIS, 0.75 for RISS using the GEM methods, and 0.85 for RISS using the ROCmax method; prediction of NIS mortality was associated with C-statistics of 0.75-0.76 for RISS using the GEM methods, and 0.78 for RISS using the ROCmax method. Instructions are provided for accessing ICDPIC-R at no cost. The ideal methods of injury categorization and injury severity scoring involve trained personnel with access to injured persons or their medical records. ICDPIC-R may be a useful substitute when this ideal cannot be obtained.

Accuracy of Diagnosis Codes to Identify Febrile Young Infants Using Administrative Data

PubMed Central

Aronson, Paul L.; Williams, Derek J.; Thurm, Cary; Tieder, Joel S.; Alpern, Elizabeth R.; Nigrovic, Lise E.; Schondelmeyer, Amanda C.; Balamuth, Fran; Myers, Angela L.; McCulloh, Russell J.; Alessandrini, Evaline A.; Shah, Samir S.; Browning, Whitney L.; Hayes, Katie L.; Feldman, Elana A.; Neuman, Mark I.

2015-01-01

Background Administrative data can be used to determine optimal management of febrile infants and aid clinical practice guideline development. Objective Determine the most accurate International Classification of Diseases, 9th revision (ICD-9) diagnosis coding strategies for identification of febrile infants. Design Retrospective cross-sectional study. Setting Eight emergency departments in the Pediatric Health Information System. Patients Infants age < 90 days evaluated between July 1, 2012 and June 30, 2013 were randomly selected for medical record review from one of four ICD-9 diagnosis code groups: 1) discharge diagnosis of fever, 2) admission diagnosis of fever without discharge diagnosis of fever, 3) discharge diagnosis of serious infection without diagnosis of fever, and 4) no diagnosis of fever or serious infection. Exposure The ICD-9 diagnosis code groups were compared in four case-identification algorithms to a reference standard of fever ≥ 100.4°F documented in the medical record. Measurements Algorithm predictive accuracy was measured using sensitivity, specificity, negative and positive predictive values. Results Among 1790 medical records reviewed, 766 (42.8%) infants had fever. Discharge diagnosis of fever demonstrated high specificity (98.2%, 95% confidence interval [CI]: 97.8-98.6) but low sensitivity (53.2%, 95% CI: 50.0-56.4). A case-identification algorithm of admission or discharge diagnosis of fever exhibited higher sensitivity (71.1%, 95% CI: 68.2-74.0), similar specificity (97.7%, 95% CI: 97.3-98.1), and the highest positive predictive value (86.9%, 95% CI: 84.5-89.3). Conclusions A case-identification strategy that includes admission or discharge diagnosis of fever should be considered for febrile infant studies using administrative data, though under-classification of patients is a potential limitation. PMID:26248691

Improving Public Reporting and Data Validation for Complex Surgical Site Infections After Coronary Artery Bypass Graft Surgery and Hip Arthroplasty

PubMed Central

Calderwood, Michael S.; Kleinman, Ken; Murphy, Michael V.; Platt, Richard; Huang, Susan S.

2014-01-01

Background  Deep and organ/space surgical site infections (D/OS SSI) cause significant morbidity, mortality, and costs. Rates are publicly reported and increasingly used as quality metrics affecting hospital payment. Lack of standardized surveillance methods threaten the accuracy of reported data and decrease confidence in comparisons based upon these data. Methods  We analyzed data from national validation studies that used Medicare claims to trigger chart review for SSI confirmation after coronary artery bypass graft surgery (CABG) and hip arthroplasty. We evaluated code performance (sensitivity and positive predictive value) to select diagnosis codes that best identified D/OS SSI. Codes were analyzed individually and in combination. Results  Analysis included 143 patients with D/OS SSI after CABG and 175 patients with D/OS SSI after hip arthroplasty. For CABG, 9 International Classification of Diseases, 9th Revision (ICD-9) diagnosis codes identified 92% of D/OS SSI, with 1 D/OS SSI identified for every 4 cases with a diagnosis code. For hip arthroplasty, 6 ICD-9 diagnosis codes identified 99% of D/OS SSI, with 1 D/OS SSI identified for every 2 cases with a diagnosis code. Conclusions  This standardized and efficient approach for identifying D/OS SSI can be used by hospitals to improve case detection and public reporting. This method can also be used to identify potential D/OS SSI cases for review during hospital audits for data validation. PMID:25734174

Validation and optimisation of an ICD-10-coded case definition for sepsis using administrative health data

PubMed Central

Jolley, Rachel J; Jetté, Nathalie; Sawka, Keri Jo; Diep, Lucy; Goliath, Jade; Roberts, Derek J; Yipp, Bryan G; Doig, Christopher J

2015-01-01

Objective Administrative health data are important for health services and outcomes research. We optimised and validated in intensive care unit (ICU) patients an International Classification of Disease (ICD)-coded case definition for sepsis, and compared this with an existing definition. We also assessed the definition's performance in non-ICU (ward) patients. Setting and participants All adults (aged ≥18 years) admitted to a multisystem ICU with general medicosurgical ICU care from one of three tertiary care centres in the Calgary region in Alberta, Canada, between 1 January 2009 and 31 December 2012 were included. Research design Patient medical records were randomly selected and linked to the discharge abstract database. In ICU patients, we validated the Canadian Institute for Health Information (CIHI) ICD-10-CA (Canadian Revision)-coded definition for sepsis and severe sepsis against a reference standard medical chart review, and optimised this algorithm through examination of other conditions apparent in sepsis. Measures Sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) were calculated. Results Sepsis was present in 604 of 1001 ICU patients (60.4%). The CIHI ICD-10-CA-coded definition for sepsis had Sn (46.4%), Sp (98.7%), PPV (98.2%) and NPV (54.7%); and for severe sepsis had Sn (47.2%), Sp (97.5%), PPV (95.3%) and NPV (63.2%). The optimised ICD-coded algorithm for sepsis increased Sn by 25.5% and NPV by 11.9% with slightly lowered Sp (85.4%) and PPV (88.2%). For severe sepsis both Sn (65.1%) and NPV (70.1%) increased, while Sp (88.2%) and PPV (85.6%) decreased slightly. Conclusions This study demonstrates that sepsis is highly undercoded in administrative data, thus under-ascertaining the true incidence of sepsis. The optimised ICD-coded definition has a higher validity with higher Sn and should be preferentially considered if used for surveillance purposes. PMID:26700284

Patterns of ambulatory medical care utilization and rheumatologist consultation predating the diagnosis of systemic lupus erythematosus: a national population-based study.

PubMed

Lai, Ning-Sheng; Tsai, Tzung-Yi; Koo, Malcolm; Huang, Kuang-Yung; Tung, Chien-Hsueh; Lu, Ming-Chi

2014-01-01

To investigate the records of ambulatory medical care from patients predating the diagnosis of systemic lupus erythematosus (SLE) using nationwide, population-based claims data. The frequencies and costs of ambulatory medical care utilization in 337 newly-diagnosed SLE cases between 2004 and 2010, identified from Taiwan's National Health Insurance Research Database, were compared with 1,348 controls who were frequency matched for sex, age, and the catastrophic illness certificate application year of the cases. Patients with SLE had a median frequency of ambulatory medical care utilization compared with controls one year prior to the index date (22 vs. 2, P<0.001). The differences were significant throughout all eight annual periods. Similarly, the inflation-adjusted costs of ambulatory medical care utilization in patients with SLE increased annually over the study period, from a median of US$18 eight years prior to the index date to US$680 one year prior to the index date. Diseases of the respiratory system (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 460-519), digestive system (ICD-9-CM codes 520-579), musculoskeletal system and connective tissue (ICD-9-CM codes 710-739, excluding 710.0), and skin and subcutaneous tissue (ICD-9-CM codes 680-709) were the top four common causes of visits in the 0.5 to 2 year period preceding the index date and percentages of SLE patients suffered from these disorders increased progressively over the study period. Only 56.4% of the patients with SLE had consulted a rheumatologist and most of the serology tests were done within one year predating the index date. Increased frequencies and costs of ambulatory care utilization among Taiwanese patients with SLE occurred several years predating their definitive SLE diagnosis. When multisystemic disorders are presented in young female patients, the possibility of SLE should be considered and screened with tools such as the antinuclear antibody test.

Medical Surveillance Monthly Report (MSMR). Volume 22, Number 9, September 2015

DTIC Science & Technology

2015-09-01

MEDICAL SURVEILLANCE MONTHLY REPORT PAGE 2 PAGE 6 PAGE 12 Assessment of ICD-9-based case definitions for influenza -like illness surveillance...appropriate when there is a need to maximize specifi city. Assessment of ICD-9-based Case Definitions for Influenza -like Illness Surveillance Angelia A. Eick...matched to the spec- imen; if such a match was not possible, T A 8 L E 1. ICD-9 codes for original influenza -like illness case definition ICD-9 code

The Epidemiology of Vascular Injury in the Wars in Iraq and Afghanistan

DTIC Science & Technology

2011-06-01

scale (AIS) and In- ternational Classification of Diseases , Ninth Revision (ICD-9) codes for vascular injury (arterial and venous) and vascular injury...denominator of significant wounding in the tabulation of rates. Nonbattle-related injuries (ie, disease nonbattle or DNBI) were not included in the...Coronary 2 0.13 Celiac 3 0.19 Superior mesenteric artery 13 0.83 Aorta 45 2.9 Vena cava (n = 21) Superior 5 0.32 Inferior 16 1.1 Iliac (n = 61) Iliac

Medical Surveillance Monthly Report (MSMR). Volume 6, Number 3, March 2000

DTIC Science & Technology

2000-03-01

Rocky Mountain spotted fever (RMSF), are more common in temperate regions such as the United States...0.2 1. Through September 30, 1999. Characteristics N Rate2 Malaria Rocky Mountain Spotted Fever Rate2NRate2 Lyme disease 3. IAW DoD Occupational...085.9); Lyme disease (ICD-9-CM code: 088.81); dengue fever (ICD-9-CM code: 061); or Rocky Mountain spotted fever (ICD-9-CM code: 082.0). If an

Aircrew Availability: Modeling Predictors of Duties Not Including Flying Status

DTIC Science & Technology

2017-07-25

International Classification of Diseases , Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes, were obtained from ASIMS. Participant age...diagnosis category,b no. (%): Diseases of the respiratory system 104,637 (26.83) DoD specific: education or counseling 48,117 (12.34... Diseases of the digestive system 31,177 (7.99) Diseases of the nervous system and sense organs 30,625 (7.85) Symptoms; signs, ill-defined

Medical Surveillance Monthly Report. Volume 18, Number 10

DTIC Science & Technology

2011-10-01

encounters were associated with ICD-9 327.23 “obstructive sleep apnea ”. Of the 69,047 individuals with more than one encounter for “obstructive sleep ... apnea ,” the average number of encounters was 6.5. Prior to the introduction of ICD-9 327 in 2005, diagnoses of obstructive sleep apnea (ICD-9...327.23) would have been coded as ICD-9 780.57 “unspecifi ed sleep apnea .” Th e “old” code is still valid and classifi ed under the major diagnostic cat

Improving the coding and classification of ambulance data through the application of International Classification of Disease 10th revision.

PubMed

Cantwell, Kate; Morgans, Amee; Smith, Karen; Livingston, Michael; Dietze, Paul

2014-02-01

This paper aims to examine whether an adaptation of the International Classification of Disease (ICD) coding system can be applied retrospectively to final paramedic assessment data in an ambulance dataset with a view to developing more fine-grained, clinically relevant case definitions than are available through point-of-call data. Over 1.2 million case records were extracted from the Ambulance Victoria data warehouse. Data fields included dispatch code, cause (CN) and final primary assessment (FPA). Each FPA was converted to an ICD-10-AM code using word matching or best fit. ICD-10-AM codes were then converted into Major Diagnostic Categories (MDC). CN was aligned with the ICD-10-AM codes for external cause of morbidity and mortality. The most accurate results were obtained when ICD-10-AM codes were assigned using information from both FPA and CN. Comparison of cases coded as unconscious at point-of-call with the associated paramedic assessment highlighted the extra clinical detail obtained when paramedic assessment data are used. Ambulance paramedic assessment data can be aligned with ICD-10-AM and MDC with relative ease, allowing retrospective coding of large datasets. Coding of ambulance data using ICD-10-AM allows for comparison of not only ambulance service users but also with other population groups. WHAT IS KNOWN ABOUT THE TOPIC? There is no reliable and standard coding and categorising system for paramedic assessment data contained in ambulance service databases. WHAT DOES THIS PAPER ADD? This study demonstrates that ambulance paramedic assessment data can be aligned with ICD-10-AM and MDC with relative ease, allowing retrospective coding of large datasets. Representation of ambulance case types using ICD-10-AM-coded information obtained after paramedic assessment is more fine grained and clinically relevant than point-of-call data, which uses caller information before ambulance attendance. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? This paper describes a model of coding using an internationally recognised standard coding and categorising system to support analysis of paramedic assessment. Ambulance data coded using ICD-10-AM allows for reliable reporting and comparison within the prehospital setting and across the healthcare industry.

Accuracy of diagnosis codes to identify febrile young infants using administrative data.

PubMed

Aronson, Paul L; Williams, Derek J; Thurm, Cary; Tieder, Joel S; Alpern, Elizabeth R; Nigrovic, Lise E; Schondelmeyer, Amanda C; Balamuth, Fran; Myers, Angela L; McCulloh, Russell J; Alessandrini, Evaline A; Shah, Samir S; Browning, Whitney L; Hayes, Katie L; Feldman, Elana A; Neuman, Mark I

2015-12-01

Administrative data can be used to determine optimal management of febrile infants and aid clinical practice guideline development. Determine the most accurate International Classification of Diseases, Ninth Revision (ICD-9) diagnosis coding strategies for identification of febrile infants. Retrospective cross-sectional study. Eight emergency departments in the Pediatric Health Information System. Infants aged <90 days evaluated between July 1, 2012 and June 30, 2013 were randomly selected for medical record review from 1 of 4 ICD-9 diagnosis code groups: (1) discharge diagnosis of fever, (2) admission diagnosis of fever without discharge diagnosis of fever, (3) discharge diagnosis of serious infection without diagnosis of fever, and (4) no diagnosis of fever or serious infection. The ICD-9 diagnosis code groups were compared in 4 case-identification algorithms to a reference standard of fever ≥100.4°F documented in the medical record. Algorithm predictive accuracy was measured using sensitivity, specificity, and negative and positive predictive values. Among 1790 medical records reviewed, 766 (42.8%) infants had fever. Discharge diagnosis of fever demonstrated high specificity (98.2%, 95% confidence interval [CI]: 97.8-98.6) but low sensitivity (53.2%, 95% CI: 50.0-56.4). A case-identification algorithm of admission or discharge diagnosis of fever exhibited higher sensitivity (71.1%, 95% CI: 68.2-74.0), similar specificity (97.7%, 95% CI: 97.3-98.1), and the highest positive predictive value (86.9%, 95% CI: 84.5-89.3). A case-identification strategy that includes admission or discharge diagnosis of fever should be considered for febrile infant studies using administrative data, though underclassification of patients is a potential limitation. © 2015 Society of Hospital Medicine.

Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?

PubMed Central

2012-01-01

Background The purpose of this study was to assess whether or not the change in coding classification had an impact on diagnosis and comorbidity coding in hospital discharge data across Canadian provinces. Methods This study examined eight years (fiscal years 1998 to 2005) of hospital records from the Hospital Person-Oriented Information database (HPOI) derived from the Canadian national Discharge Abstract Database. The average number of coded diagnoses per hospital visit was examined from 1998 to 2005 for provinces that switched from International Classifications of Disease 9th version (ICD-9-CM) to ICD-10-CA during this period. The average numbers of type 2 and 3 diagnoses were also described. The prevalence of the Charlson comorbidities and distribution of the Charlson score one year before and one year after ICD-10 implementation for each of the 9 provinces was examined. The prevalence of at least one of the seventeen Charlson comorbidities one year before and one year after ICD-10 implementation were described by hospital characteristics (teaching/non-teaching, urban/rural, volume of patients). Results Nine Canadian provinces switched from ICD-9-CM to ICD-I0-CA over a 6 year period starting in 2001. The average number of diagnoses coded per hospital visit for all code types over the study period was 2.58. After implementation of ICD-10-CA a decrease in the number of diagnoses coded was found in four provinces whereas the number of diagnoses coded in the other five provinces remained similar. The prevalence of at least one of the seventeen Charlson conditions remained relatively stable after ICD-10 was implemented, as did the distribution of the Charlson score. When stratified by hospital characteristics, the prevalence of at least one Charlson condition decreased after ICD-10-CA implementation, particularly for low volume hospitals. Conclusion In conclusion, implementation of ICD-10-CA in Canadian provinces did not substantially change coding practices, but there was some coding variation in the average number of diagnoses per hospital visit across provinces. PMID:22682405

Fatal anaphylaxis registries data support changes in the who anaphylaxis mortality coding rules.

PubMed

Tanno, Luciana Kase; Simons, F Estelle R; Annesi-Maesano, Isabella; Calderon, Moises A; Aymé, Ségolène; Demoly, Pascal

2017-01-13

Anaphylaxis is defined as a severe life-threatening generalized or systemic hypersensitivity reaction. The difficulty of coding anaphylaxis fatalities under the World Health Organization (WHO) International Classification of Diseases (ICD) system is recognized as an important reason for under-notification of anaphylaxis deaths. On current death certificates, a limited number of ICD codes are valid as underlying causes of death, and death certificates do not include the word anaphylaxis per se. In this review, we provide evidences supporting the need for changes in WHO mortality coding rules and call for addition of anaphylaxis as an underlying cause of death on international death certificates. This publication will be included in support of a formal request to the WHO as a formal request for this move taking the 11 th ICD revision.

Electronic medical record: research tool for pancreatic cancer?

PubMed

Arous, Edward J; McDade, Theodore P; Smith, Jillian K; Ng, Sing Chau; Sullivan, Mary E; Zottola, Ralph J; Ranauro, Paul J; Shah, Shimul A; Whalen, Giles F; Tseng, Jennifer F

2014-04-01

A novel data warehouse based on automated retrieval from an institutional health care information system (HIS) was made available to be compared with a traditional prospectively maintained surgical database. A newly established institutional data warehouse at a single-institution academic medical center autopopulated by HIS was queried for International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes for pancreatic neoplasm. Patients with ICD-9-CM diagnosis codes for pancreatic neoplasm were captured. A parallel query was performed using a prospective database populated by manual entry. Duplicated patients and those unique to either data set were identified. All patients were manually reviewed to determine the accuracy of diagnosis. A total of 1107 patients were identified from the HIS-linked data set with pancreatic neoplasm from 1999-2009. Of these, 254 (22.9%) patients were also captured by the surgical database, whereas 853 (77.1%) patients were only in the HIS-linked data set. Manual review of the HIS-only group demonstrated that 45.0% of patients were without identifiable pancreatic pathology, suggesting erroneous capture, whereas 36.3% of patients were consistent with pancreatic neoplasm and 18.7% with other pancreatic pathology. Of the 394 patients identified by the surgical database, 254 (64.5%) patients were captured by HIS, whereas 140 (35.5%) patients were not. Manual review of patients only captured by the surgical database demonstrated 85.9% with pancreatic neoplasm and 14.1% with other pancreatic pathology. Finally, review of the 254 patient overlap demonstrated that 80.3% of patients had pancreatic neoplasm and 19.7% had other pancreatic pathology. These results suggest that cautious interpretation of administrative data rely only on ICD-9-CM diagnosis codes and clinical correlation through previously validated mechanisms. Published by Elsevier Inc.

Criteria for a catastrophically disabled determination for purposes of enrollment. Final rule.

PubMed

2013-12-03

The Department of Veterans Affairs (VA) is amending its regulation concerning the manner in which VA determines that a veteran is catastrophically disabled for purposes of enrollment in priority group 4 for VA health care. As amended by this rulemaking, the regulation articulates the clinical criteria that identify an individual as catastrophically disabled, instead of using the corresponding International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and Current Procedural Terminology (CPT[registered trademark]) codes. The revisions ensure that the regulation is not out of date when new versions of those codes are published. The revisions also broaden some of the descriptions for a finding of catastrophic disability. Additionally, the final rule does not rely on the Folstein Mini Mental State Examination (MMSE) as a criterion for determining whether a veteran meets the definition of catastrophically disabled, because we have determined that the MMSE is no longer a necessary clinical assessment tool.

Understanding Treatment of Mild Traumatic Brain Injury in the Military Health System

DTIC Science & Technology

2016-04-18

OEF Veterans: Polytrauma Clinical Triad,” Journal of Rehabilitation Research and Development, Vol. 46, No. 6, July 2009, pp. 697–702. Lew, Henry L...pubs/permissions.html. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities...case definition for mTBI based on codes in the International Classification of Dis- eases, Ninth Revision (ICD-9), Clinical Modification. The team then

Using Administrative Mental Health Indicators in Heart Failure Outcomes Research: Comparison of Clinical Records and International Classification of Disease Coding.

PubMed

Bender, Miriam; Smith, Tyler C

2016-01-01

Use of mental indication in health outcomes research is of growing interest to researchers. This study, as part of a larger research program, quantified agreement between administrative International Classification of Disease (ICD-9) coding for, and "gold standard" clinician documentation of, mental health issues (MHIs) in hospitalized heart failure (HF) patients to determine the validity of mental health administrative data for use in HF outcomes research. A 13% random sample (n = 504) was selected from all unique patients (n = 3,769) hospitalized with a primary HF diagnosis at 4 San Diego County community hospitals during 2009-2012. MHI was defined as ICD-9 discharge diagnostic coding 290-319. Records were audited for clinician documentation of MHI. A total of 43% (n = 216) had mental health clinician documentation; 33% (n = 164) had ICD-9 coding for MHI. ICD-9 code bundle 290-319 had 0.70 sensitivity, 0.97 specificity, and kappa 0.69 (95% confidence interval 0.61-0.79). More specific ICD-9 MHI code bundles had kappas ranging from 0.44 to 0.82 and sensitivities ranging from 42% to 82%. Agreement between ICD-9 coding and clinician documentation for a broadly defined MHI is substantial, and can validly "rule in" MHI for hospitalized patients with heart failure. More specific MHI code bundles had fair to almost perfect agreement, with a wide range of sensitivities for identifying patients with an MHI. Copyright © 2016 Elsevier Inc. All rights reserved.

From Novice to Expert: Problem Solving in ICD-10-PCS Procedural Coding

PubMed Central

Rousse, Justin Thomas

2013-01-01

The benefits of converting to ICD-10-CM/PCS have been well documented in recent years. One of the greatest challenges in the conversion, however, is how to train the workforce in the code sets. The International Classification of Diseases, Tenth Revision, Procedure Coding System (ICD-10-PCS) has been described as a language requiring higher-level reasoning skills because of the system's increased granularity. Training and problem-solving strategies required for correct procedural coding are unclear. The objective of this article is to propose that the acquisition of rule-based logic will need to be augmented with self-evaluative and critical thinking. Awareness of how this process works is helpful for established coders as well as for a new generation of coders who will master the complexities of the system. PMID:23861674

Temporal Trends in Hospitalization for Acute Decompensated Heart Failure in the United States, 1998–2011

PubMed Central

Agarwal, Sunil K.; Wruck, Lisa; Quibrera, Miguel; Matsushita, Kunihiro; Loehr, Laura R.; Chang, Patricia P.; Rosamond, Wayne D.; Wright, Jacqueline; Heiss, Gerardo; Coresh, Josef

2016-01-01

Estimates of the numbers and rates of acute decompensated heart failure (ADHF) hospitalization are central to understanding health-care utilization and efforts to improve patient care. We comprehensively estimated the frequency, rate, and trends of ADHF hospitalization in the United States. Based on Atherosclerosis Risk in Communities (ARIC) Study surveillance adjudicating 12,450 eligible hospitalizations during 2005–2010, we developed prediction models for ADHF separately for 3 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 428 discharge diagnosis groups: 428 primary, 428 nonprimary, or 428 absent. We applied the models to data from the National Inpatient Sample (11.5 million hospitalizations of persons aged ≥55 years with eligible ICD-9-CM codes), an all-payer, 20% probability sample of US community hospitals. The average estimated number of ADHF hospitalizations per year was 1.76 million (428 primary, 0.80 million; 428 nonprimary, 0.83 million; 428 absent, 0.13 million). During 1998–2004, the rate of ADHF hospitalization increased by 2.0%/year (95% confidence interval (CI): 1.8, 2.5) versus a 1.4%/year (95% CI: 0.8, 2.1) increase in code 428 primary hospitalizations (P < 0.001). In contrast, during 2005–2011, numbers of ADHF hospitalizations were stable (−0.5%/year; 95% CI: −1.4, 0.3), while the numbers of 428-primary hospitalizations decreased by −1.5%/year (95% CI: −2.2, −0.8) (P for contrast = 0.03). In conclusion, the estimated number of hospitalizations with ADHF is approximately 2 times higher than the number of hospitalizations with ICD-9-CM code 428 in the primary position. The trend increased more steeply prior to 2005 and was relatively flat after 2005. PMID:26895710

Validity of International Classification of Diseases (ICD) coding for dengue infections in hospital discharge records in Malaysia.

PubMed

Woon, Yuan-Liang; Lee, Keng-Yee; Mohd Anuar, Siti Fatimah Zahra; Goh, Pik-Pin; Lim, Teck-Onn

2018-04-20

Hospitalization due to dengue illness is an important measure of dengue morbidity. However, limited studies are based on administrative database because the validity of the diagnosis codes is unknown. We validated the International Classification of Diseases, 10th revision (ICD) diagnosis coding for dengue infections in the Malaysian Ministry of Health's (MOH) hospital discharge database. This validation study involves retrospective review of available hospital discharge records and hand-search medical records for years 2010 and 2013. We randomly selected 3219 hospital discharge records coded with dengue and non-dengue infections as their discharge diagnoses from the national hospital discharge database. We then randomly sampled 216 and 144 records for patients with and without codes for dengue respectively, in keeping with their relative frequency in the MOH database, for chart review. The ICD codes for dengue were validated against lab-based diagnostic standard (NS1 or IgM). The ICD-10-CM codes for dengue had a sensitivity of 94%, modest specificity of 83%, positive predictive value of 87% and negative predictive value 92%. These results were stable between 2010 and 2013. However, its specificity decreased substantially when patients manifested with bleeding or low platelet count. The diagnostic performance of the ICD codes for dengue in the MOH's hospital discharge database is adequate for use in health services research on dengue.

76 FR 51985 - ICD-9-CM Coordination and Maintenance Committee Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-19

... and Public Health Data Standards Staff, announces the following meeting. Name: ICD-9-CM Coordination.... 2012 ICD-10-PCS GEM and Reimbursement Map Updates. ICD-10-PCS Official Coding Guidelines. ICD-10 MS... Pickett, Medical Systems Administrator, Classifications and Public Health Data Standards Staff, NCHS, 3311...

Positive relationship of sleep apnea to hyperaldosteronism in an ethnically diverse population.

PubMed

Sim, John J; Yan, Eric H; Liu, In Lu A; Rasgon, Scott A; Kalantar-Zadeh, Kamyar; Calhoun, David A; Derose, Stephen F

2011-08-01

Approximately, 50-60% of patients with sleep apnea have hypertension. To explore a mechanism of this relationship, we compared its prevalence in a hypertensive population with and without hyperaldosteronism. Using the Kaiser Permanente Southern California database, hypertensive individuals who had plasma aldosterone and plasma renin activity measured between 1 January 2006 and 31 December 2007 were evaluated. Hyperaldosteronism was defined as an aldosterone : renin ratio more than 30 and plasma aldosterone more than 20 ng/dl or an aldosterone : renin ratio more than 50 (ng/dl : ng/ml per h). Hypertension was identified by International Classification of Disease, Ninth Revision (ICD-9) coding and sleep apnea was defined by ICD-9 coding or procedural coding for dispensation of positive airway devices. Of 3428 hypertensive patients, 575 (17%) had hyperaldosteronism. Sleep apnea was present in 18% (105) with hyperaldosteronism vs. 9% (251) without hyperaldosteronism (P < 0.001). Odds ratio for sleep apnea in patients with hyperaldosteronism was 1.8 (95% confidence interval 1.3-2.6) after controlling for other sleep apnea risk factors. No ethnic group was at greater risk for sleep apnea. The prevalence of sleep apnea in a diverse hypertensive population is increased in patients with hyperaldosteronism, even when controlling for other sleep apnea risk factors.

Constructing a classification of hypersensitivity/allergic diseases for ICD-11 by crowdsourcing the allergist community.

PubMed

Tanno, L K; Calderon, M A; Goldberg, B J; Gayraud, J; Bircher, A J; Casale, T; Li, J; Sanchez-Borges, M; Rosenwasser, L J; Pawankar, R; Papadopoulos, N G; Demoly, P

2015-06-01

The global allergy community strongly believes that the 11th revision of the International Classification of Diseases (ICD-11) offers a unique opportunity to improve the classification and coding of hypersensitivity/allergic diseases via inclusion of a specific chapter dedicated to this disease area to facilitate epidemiological studies, as well as to evaluate the true size of the allergy epidemic. In this context, an international collaboration has decided to revise the classification of hypersensitivity/allergic diseases and to validate it for ICD-11 by crowdsourcing the allergist community. After careful comparison between ICD-10 and 11 beta phase linearization codes, we identified gaps and trade-offs allowing us to construct a classification proposal, which was sent to the European Academy of Allergy and Clinical Immunology (EAACI) sections, interest groups, executive committee as well as the World Allergy Organization (WAO), and American Academy of Allergy Asthma and Immunology (AAAAI) leaderships. The crowdsourcing process produced comments from 50 of 171 members contacted by e-mail. The classification proposal has also been discussed at face-to-face meetings with experts of EAACI sections and interest groups and presented in a number of business meetings during the 2014 EAACI annual congress in Copenhagen. As a result, a high-level complex structure of classification for hypersensitivity/allergic diseases has been constructed. The model proposed has been presented to the WHO groups in charge of the ICD revision. The international collaboration of allergy experts appreciates bilateral discussion and aims to get endorsement of their proposals for the final ICD-11. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Validation and optimisation of an ICD-10-coded case definition for sepsis using administrative health data.

PubMed

Jolley, Rachel J; Quan, Hude; Jetté, Nathalie; Sawka, Keri Jo; Diep, Lucy; Goliath, Jade; Roberts, Derek J; Yipp, Bryan G; Doig, Christopher J

2015-12-23

Administrative health data are important for health services and outcomes research. We optimised and validated in intensive care unit (ICU) patients an International Classification of Disease (ICD)-coded case definition for sepsis, and compared this with an existing definition. We also assessed the definition's performance in non-ICU (ward) patients. All adults (aged ≥ 18 years) admitted to a multisystem ICU with general medicosurgical ICU care from one of three tertiary care centres in the Calgary region in Alberta, Canada, between 1 January 2009 and 31 December 2012 were included. Patient medical records were randomly selected and linked to the discharge abstract database. In ICU patients, we validated the Canadian Institute for Health Information (CIHI) ICD-10-CA (Canadian Revision)-coded definition for sepsis and severe sepsis against a reference standard medical chart review, and optimised this algorithm through examination of other conditions apparent in sepsis. Sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) were calculated. Sepsis was present in 604 of 1001 ICU patients (60.4%). The CIHI ICD-10-CA-coded definition for sepsis had Sn (46.4%), Sp (98.7%), PPV (98.2%) and NPV (54.7%); and for severe sepsis had Sn (47.2%), Sp (97.5%), PPV (95.3%) and NPV (63.2%). The optimised ICD-coded algorithm for sepsis increased Sn by 25.5% and NPV by 11.9% with slightly lowered Sp (85.4%) and PPV (88.2%). For severe sepsis both Sn (65.1%) and NPV (70.1%) increased, while Sp (88.2%) and PPV (85.6%) decreased slightly. This study demonstrates that sepsis is highly undercoded in administrative data, thus under-ascertaining the true incidence of sepsis. The optimised ICD-coded definition has a higher validity with higher Sn and should be preferentially considered if used for surveillance purposes. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Study of Chlamydia trachomatis in Military Women; Prevalence, Risk Factors, and a Cost Benefit Analysis of Early Diagnosis and Treatment

DTIC Science & Technology

1999-09-01

ectopic pregnancy, and infertility represent a large disease burden 1,3. Infection rates for young, sexually active women range from 5-20%. In men...Hospitalizations (PASBA) for PID (ICD9 codes 614 and 615), infertility (ICD9 code 628), and 18 * ectopic pregnancy (ICD9 code 633) in Army enlisted females...trachomatisinfections in women has been lim- flammatory disease, infertility , and ectopic pregnancy. ited by the need for access to a medical clinic and a To design

The effect of cost construction based on either DRG or ICD-9 codes or risk group stratification on the resulting cost-effectiveness ratios.

PubMed

Chumney, Elinor C G; Biddle, Andrea K; Simpson, Kit N; Weinberger, Morris; Magruder, Kathryn M; Zelman, William N

2004-01-01

As cost-effectiveness analyses (CEAs) are increasingly used to inform policy decisions, there is a need for more information on how different cost determination methods affect cost estimates and the degree to which the resulting cost-effectiveness ratios (CERs) may be affected. The lack of specificity of diagnosis-related groups (DRGs) could mean that they are ill-suited for costing applications in CEAs. Yet, the implications of using International Classification of Diseases-9th edition (ICD-9) codes or a form of disease-specific risk group stratification instead of DRGs has yet to be clearly documented. To demonstrate the implications of different disease coding mechanisms on costs and the magnitude of error that could be introduced in head-to-head comparisons of resulting CERs. We based our analyses on a previously published Markov model for HIV/AIDS therapies. We used the Healthcare Cost and Utilisation Project Nationwide Inpatient Sample (HCUP-NIS) data release 6, which contains all-payer data on hospital inpatient stays from selected states. We added costs for the mean number of hospitalisations, derived from analyses based on either DRG or ICD-9 codes or risk group stratification cost weights, to the standard outpatient and prescription drug costs to yield an estimate of total charges for each AIDS-defining illness (ADI). Finally, we estimated the Markov model three times with the appropriate ADI cost weights to obtain CERs specific to the use of either DRG or ICD-9 codes or risk group. Contrary to expectations, we found that the choice of coding/grouping assumptions that are disease-specific by either DRG codes, ICD-9 codes or risk group resulted in very similar CER estimates for highly active antiretroviral therapy. The large variations in the specific ADI cost weights across the three different coding approaches was especially interesting. However, because no one approach produced consistently higher estimates than the others, the Markov model's weighted cost per event and resulting CERs were remarkably close in value to one another. Although DRG codes are based on broader categories and contain less information than ICD-9 codes, in practice the choice of whether to use DRGs or ICD-9 codes may have little effect on the CEA results in heterogeneous conditions such as HIV/AIDS.

Public Health Data in Action: An Analysis of Using Louisiana Vital Statistics for Quality Improvement and Payment Reform.

PubMed

Danilack, Valery A; Gee, Rebekah E; Berthelot, Danielle P; Gurvich, Rebecca; Muri, Janet H

2017-05-01

Introduction In 2012, the Louisiana (LA) Department of Health and Hospitals revised the LA birth certificate to include medical reasons for births before 39 completed weeks' gestation. We compared the completeness and validity of these data with hospital discharge records. Methods For births occurring 4/1/2012-9/30/2012 at Woman's Hospital of Baton Rouge, we linked maternal delivery and newborn birth data collected through the National Perinatal Information Center with LA birth certificates. Among early term births (37-38 completed weeks' gestation), we quantified the reasons for early delivery listed on the birth certificate and compared them with ICD-9-CM codes from Woman's discharge data. Results Among 4353 birth certificates indicating delivery at Woman's Hospital, we matched 99.8% to corresponding Woman's administrative data. Among 1293 early term singleton births, the most common reasons for early delivery listed on the birth certificate were spontaneous active labor (57.5%), gestational hypertensive disorders (15.3%), gestational diabetes (8.7%), and premature rupture of membranes (8.1%). Only 2.7% of births indicated "other reason" as the only reason for early delivery. Most reasons for early delivery had >80% correspondence with ICD-9-CM codes. Lower correspondence (35 and 72%, respectively) was observed for premature rupture of membranes and abnormal heart rate or fetal distress. Discussion There was near-perfect ability to match LA birth certificates with Woman's Hospital records, and the agreement between reasons for early delivery on the birth certificate and ICD-9-CM codes was high. A benchmark of 2.7% can be used as an attainable frequency of "other reason" for early delivery reported by hospitals. Louisiana implemented an effective mechanism to identify and explain early deliveries using vital records.

Viewpoint: a comparison of cause-of-injury coding in U.S. military and civilian hospitals.

PubMed

Amoroso, P J; Bell, N S; Smith, G S; Senier, L; Pickett, D

2000-04-01

Complete and accurate coding of injury causes is essential to the understanding of injury etiology and to the development and evaluation of injury-prevention strategies. While civilian hospitals use ICD-9-CM external cause-of-injury codes, military hospitals use codes derived from the NATO Standardization Agreement (STANAG) 2050. The STANAG uses two separate variables to code injury cause. The Trauma code uses a single digit with 10 possible values to identify the general class of injury as battle injury, intentionally inflicted nonbattle injury, or unintentional injury. The Injury code is used to identify cause or activity at the time of the injury. For a subset of the Injury codes, the last digit is modified to indicate place of occurrence. This simple system contains fewer than 300 basic codes, including many that are specific to battle- and sports-related injuries not coded well by either the ICD-9-CM or the draft ICD-10-CM. However, while falls, poisonings, and injuries due to machinery and tools are common causes of injury hospitalizations in the military, few STANAG codes correspond to these events. Intentional injuries in general and sexual assaults in particular are also not well represented in the STANAG. Because the STANAG does not map directly to the ICD-9-CM system, quantitative comparisons between military and civilian data are difficult. The ICD-10-CM, which will be implemented in the United States sometime after 2001, expands considerably on its predecessor, ICD-9-CM, and provides more specificity and detail than the STANAG. With slight modification, it might become a suitable replacement for the STANAG.

Sensitivity and specificity of obesity diagnosis in pediatric ambulatory care in the United States.

PubMed

Walsh, Carolyn O; Milliren, Carly E; Feldman, Henry A; Taveras, Elsie M

2013-09-01

We examined the sensitivity and specificity of an obesity diagnosis in a nationally representative sample of pediatric outpatient visits. We used the 2005 to 2009 National Ambulatory Medical Care and National Hospital Ambulatory Medical Care surveys. We included visits with children 2 to 18 years, yielding a sample of 48 145 database visits. We determined 3 methods of identifying obesity: documented body mass index (BMI) ≥95th percentile; International Classification of Diseases, Ninth Revision (ICD-9) code; and positive answer to the question, "Does the patient now have obesity?" Using BMI as the gold standard, we calculated the sensitivity and specificity of a clinical obesity diagnosis. Among the 19.5% of children who were obese by BMI, 7.0% had an ICD-9 code and 15.2% had a positive response to questioning. The sensitivity of an obesity diagnosis was 15.4%, and the specificity was 99.2%. The sensitivity of the obesity diagnosis in pediatric ambulatory visits is low. Efforts are needed to increase identification of obese children.

Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review

PubMed Central

McCormick, Natalie; Bhole, Vidula; Lacaille, Diane; Avina-Zubieta, J. Antonio

2015-01-01

Objective To conduct a systematic review of studies reporting on the validity of International Classification of Diseases (ICD) codes for identifying stroke in administrative data. Methods MEDLINE and EMBASE were searched (inception to February 2015) for studies: (a) Using administrative data to identify stroke; or (b) Evaluating the validity of stroke codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), or Kappa scores) for stroke, or data sufficient for their calculation. Additional articles were located by hand search (up to February 2015) of original papers. Studies solely evaluating codes for transient ischaemic attack were excluded. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. Results Seventy-seven studies published from 1976–2015 were included. The sensitivity of ICD-9 430-438/ICD-10 I60-I69 for any cerebrovascular disease was ≥ 82% in most [≥ 50%] studies, and specificity and NPV were both ≥ 95%. The PPV of these codes for any cerebrovascular disease was ≥ 81% in most studies, while the PPV specifically for acute stroke was ≤ 68%. In at least 50% of studies, PPVs were ≥ 93% for subarachnoid haemorrhage (ICD-9 430/ICD-10 I60), 89% for intracerebral haemorrhage (ICD-9 431/ICD-10 I61), and 82% for ischaemic stroke (ICD-9 434/ICD-10 I63 or ICD-9 434&436). For in-hospital deaths, sensitivity was 55%. For cerebrovascular disease or acute stroke as a cause-of-death on death certificates, sensitivity was ≤ 71% in most studies while PPV was ≥ 87%. Conclusions While most cases of prevalent cerebrovascular disease can be detected using 430-438/I60-I69 collectively, acute stroke must be defined using more specific codes. Most in-hospital deaths and death certificates with stroke as a cause-of-death correspond to true stroke deaths. Linking vital statistics and hospitalization data may improve the ascertainment of fatal stroke. PMID:26292280

Validation study in four health-care databases: upper gastrointestinal bleeding misclassification affects precision but not magnitude of drug-related upper gastrointestinal bleeding risk.

PubMed

Valkhoff, Vera E; Coloma, Preciosa M; Masclee, Gwen M C; Gini, Rosa; Innocenti, Francesco; Lapi, Francesco; Molokhia, Mariam; Mosseveld, Mees; Nielsson, Malene Schou; Schuemie, Martijn; Thiessard, Frantz; van der Lei, Johan; Sturkenboom, Miriam C J M; Trifirò, Gianluca

2014-08-01

To evaluate the accuracy of disease codes and free text in identifying upper gastrointestinal bleeding (UGIB) from electronic health-care records (EHRs). We conducted a validation study in four European electronic health-care record (EHR) databases such as Integrated Primary Care Information (IPCI), Health Search/CSD Patient Database (HSD), ARS, and Aarhus, in which we identified UGIB cases using free text or disease codes: (1) International Classification of Disease (ICD)-9 (HSD, ARS); (2) ICD-10 (Aarhus); and (3) International Classification of Primary Care (ICPC) (IPCI). From each database, we randomly selected and manually reviewed 200 cases to calculate positive predictive values (PPVs). We employed different case definitions to assess the effect of outcome misclassification on estimation of risk of drug-related UGIB. PPV was 22% [95% confidence interval (CI): 16, 28] and 21% (95% CI: 16, 28) in IPCI for free text and ICPC codes, respectively. PPV was 91% (95% CI: 86, 95) for ICD-9 codes and 47% (95% CI: 35, 59) for free text in HSD. PPV for ICD-9 codes in ARS was 72% (95% CI: 65, 78) and 77% (95% CI: 69, 83) for ICD-10 codes (Aarhus). More specific definitions did not have significant impact on risk estimation of drug-related UGIB, except for wider CIs. ICD-9-CM and ICD-10 disease codes have good PPV in identifying UGIB from EHR; less granular terminology (ICPC) may require additional strategies. Use of more specific UGIB definitions affects precision, but not magnitude, of risk estimates. Copyright © 2014 Elsevier Inc. All rights reserved.

Validity of administrative coding in identifying patients with upper urinary tract calculi.

PubMed

Semins, Michelle J; Trock, Bruce J; Matlaga, Brian R

2010-07-01

Administrative databases are increasingly used for epidemiological investigations. We performed a study to assess the validity of ICD-9 codes for upper urinary tract stone disease in an administrative database. We retrieved the records of all inpatients and outpatients at Johns Hopkins Hospital between November 2007 and October 2008 with an ICD-9 code of 592, 592.0, 592.1 or 592.9 as one of the first 3 diagnosis codes. A random number generator selected 100 encounters for further review. We considered a patient to have a true diagnosis of an upper tract stone if the medical records specifically referenced a kidney stone event, or included current or past treatment for a kidney stone. Descriptive and comparative analyses were performed. A total of 8,245 encounters coded as upper tract calculus were identified and 100 were randomly selected for review. Two patients could not be identified within the electronic medical record and were excluded from the study. The positive predictive value of using all ICD-9 codes for an upper tract calculus (592, 592.0, 592.1) to identify subjects with renal or ureteral stones was 95.9%. For 592.0 only the positive predictive value was 85%. However, although the positive predictive value for 592.1 only was 100%, 26 subjects (76%) with a ureteral stone were not appropriately billed with this code. ICD-9 coding for urinary calculi is likely to be sufficiently valid to be useful in studies using administrative data to analyze stone disease. However, ICD-9 coding is not a reliable means to distinguish between subjects with renal and ureteral calculi. Copyright (c) 2010 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Assessment of tissue allograft safety monitoring with administrative healthcare databases: a pilot project using Medicare data.

PubMed

Dhakal, Sanjaya; Burwen, Dale R; Polakowski, Laura L; Zinderman, Craig E; Wise, Robert P

2014-03-01

Assess whether Medicare data are useful for monitoring tissue allograft safety and utilization. We used health care claims (billing) data from 2007 for 35 million fee-for-service Medicare beneficiaries, a predominantly elderly population. Using search terms for transplant-related procedures, we generated lists of ICD-9-CM and CPT(®) codes and assessed the frequency of selected allograft procedures. Step 1 used inpatient data and ICD-9-CM procedure codes. Step 2 added non-institutional provider (e.g., physician) claims, outpatient institutional claims, and CPT codes. We assembled preliminary lists of diagnosis codes for infections after selected allograft procedures. Many ICD-9-CM codes were ambiguous as to whether the procedure involved an allograft. Among 1.3 million persons with a procedure ascertained using the list of ICD-9-CM codes, only 1,886 claims clearly involved an allograft. CPT codes enabled better ascertainment of some allograft procedures (over 17,000 persons had corneal transplants and over 2,700 had allograft skin transplants). For spinal fusion procedures, CPT codes improved specificity for allografts; of nearly 100,000 patients with ICD-9-CM codes for spinal fusions, more than 34,000 had CPT codes indicating allograft use. Monitoring infrequent events (infections) after infrequent exposures (tissue allografts) requires large study populations. A strength of the large Medicare databases is the substantial number of certain allograft procedures. Limitations include lack of clinical detail and donor information. Medicare data can potentially augment passive reporting systems and may be useful for monitoring tissue allograft safety and utilization where codes clearly identify allograft use and coding algorithms can effectively screen for infections.

42 CFR 81.21 - Cancers requiring the use of NIOSH-IREP.

Code of Federal Regulations, 2013 CFR

2013-10-01

... NIOSH-IREP. (b) Carcinoma in situ (ICD-9 codes 230-234), neoplasms of uncertain behavior (ICD-9 codes... cancer from a primary site). For claims identifying cancers of the lymph node, Table 1 in § 81.23...

42 CFR 81.21 - Cancers requiring the use of NIOSH-IREP.

Code of Federal Regulations, 2014 CFR

2014-10-01

... NIOSH-IREP. (b) Carcinoma in situ (ICD-9 codes 230-234), neoplasms of uncertain behavior (ICD-9 codes... cancer from a primary site). For claims identifying cancers of the lymph node, Table 1 in § 81.23...

42 CFR 81.21 - Cancers requiring the use of NIOSH-IREP.

Code of Federal Regulations, 2012 CFR

2012-10-01

... NIOSH-IREP. (b) Carcinoma in situ (ICD-9 codes 230-234), neoplasms of uncertain behavior (ICD-9 codes... cancer from a primary site). For claims identifying cancers of the lymph node, Table 1 in § 81.23...

Importance of external cause coding for injury surveillance: lessons from assessment of overexertion injuries among U.S. Army soldiers in 2014.

PubMed

Canham-Chervak, Michelle; Steelman, Ryan A; Schuh, Anna; Jones, Bruce H

2016-11-01

Injuries are a barrier to military medical readiness, and overexertion has historically been a leading mechanism of injury among active duty U.S. Army soldiers. Details are needed to inform prevention planning. The Defense Medical Surveillance System (DMSS) was queried for unique medical encounters among active duty Army soldiers consistent with the military injury definition and assigned an overexertion external cause code (ICD-9: E927.0-E927.9) in 2014 (n=21,891). Most (99.7%) were outpatient visits and 60% were attributed specifically to sudden strenuous movement. Among the 41% (n=9,061) of visits with an activity code (ICD-9: E001-E030), running was the most common activity (n=2,891, 32%); among the 19% (n=4,190) with a place of occurrence code (ICD-9: E849.0-E849.9), the leading location was recreation/sports facilities (n=1,332, 32%). External cause codes provide essential details, but the data represented less than 4% of all injury-related medical encounters among U.S. Army soldiers in 2014. Efforts to improve external cause coding are needed, and could be aligned with training on and enforcement of ICD-10 coding guidelines throughout the Military Health System.

Air Force Operational Medicine: Using the Enterprise Estimating Supplies Program to Develop Materiel Solutions for the Operational Requirements of the Air Force Ophthalmology Augmentation Team (FFEYE)

DTIC Science & Technology

2010-10-14

non-battle injuries , and illnesses. International Classification of Diseases, Ninth Revision (ICD-9) coded patient conditions, selected by the...for a range of surgical and non- surgical injuries and illnesses, typically seen and treated by an ophthalmologist and one technician working 12-hour...receive them. The “Equipment/supplies” column identifies the items needed to complete the “Insert endo - trach tube” task at that level of capability. Not

Accuracy of Administrative Billing Codes to Detect Urinary Tract Infection Hospitalizations

PubMed Central

Hall, Matthew; Auger, Katherine A.; Hain, Paul D.; Jerardi, Karen E.; Myers, Angela L.; Rahman, Suraiya S.; Williams, Derek J.; Shah, Samir S.

2011-01-01

BACKGROUND: Hospital billing data are frequently used for quality measures and research, but the accuracy of the use of discharge codes to identify urinary tract infections (UTIs) is unknown. OBJECTIVE: To determine the accuracy of International Classification of Diseases, 9th revision (ICD-9) discharge codes to identify children hospitalized with UTIs. METHODS: This multicenter study conducted in 5 children's hospitals included children aged 3 days to 18 years who had been admitted to the hospital, undergone a urinalysis or urine culture, and discharged from the hospital. Data were obtained from the pediatric health information system database and medical record review. With the use of 2 gold-standard methods, the positive predictive value (PPV) was calculated for individual and combined UTI codes and for common UTI identification strategies. PPV was measured for all groupings for which the UTI code was the principal discharge diagnosis. RESULTS: There were 833 patients in the study. The PPV was 50.3% with the use of the gold standard of laboratory-confirmed UTIs but increased to 85% with provider confirmation. Restriction of the study cohort to patients with a principle diagnosis of UTI improved the PPV for laboratory-confirmed UTI (61.2%) and provider-confirmed UTI (93.2%), as well as the ability to benchmark performance. Other common identification strategies did not markedly affect the PPV. CONCLUSIONS: ICD-9 codes can be used to identify patients with UTIs but are most accurate when UTI is the principal discharge diagnosis. The identification strategies reported in this study can be used to improve the accuracy and applicability of benchmarking measures. PMID:21768320

Utilization rates of implantable cardioverter-defibrillators for primary prevention of sudden cardiac death: a 2012 calculation for a midwestern health referral region.

PubMed

Hoang, Allen; Shen, Changyu; Zheng, James; Taylor, Stanley; Groh, William J; Rosenman, Marc; Buxton, Alfred E; Chen, Peng-Sheng

2014-05-01

Utilization rates (URs) for implantable cardioverter-defibrillators (ICDs) for primary prevention of sudden cardiac death (PPSCD) are lacking in the community. The purpose of this study was to establish the ICD UR in central Indiana. A query run on 2 hospitals in a health information exchange database in Indianapolis identified patients between 2011 and 2012 with left ventricular ejection fraction (EF) ≤0.35. ICD eligibility and utilization were determined from chart review. We identified 1863 patients with at least 1 low EF study. Two cohorts were analyzed: 1672 patients without and 191 patients with International Classification of Diseases, Ninth Revision, Clinical Modification procedure code 37.94 for ICD placement. We manually reviewed a stratified (by hospital) random sample of 300 patients from the no-ICD procedure code cohort and found that 48 (16%) had no ICD but had class I indications for ICD. Eight of 300 (2.7%) actually had ICD implantation for PPSCD. Review of all 191 patients in the ICD procedure code cohort identified 70 with ICD implantation for PPSCD. The ICD UR (ratio between patients with ICD for PPSCD and all with indication) was 38% overall (95% confidence interval [CI] 28%-49%). URs were 48% for males (95% CI 34%-61%), 21% for females (95% CI 16%-26%, P = .0002 vs males), 40% for whites (95% CI 27%-53%), and 37% for blacks (95% CI 28%-46%, P = .66 vs whites). ICD UR is 38% among patients meeting class I indications, suggesting further opportunities for improving guideline compliance. This study also illustrates limitations in calculating ICD UR using large electronic repositories without hands-on chart review. Copyright © 2014 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Comparison of ICD-9-based, retrospective, and prospective assessments of perioperative complications: assessment of accuracy in reporting.

PubMed

Campbell, Peter G; Malone, Jennifer; Yadla, Sanjay; Chitale, Rohan; Nasser, Rani; Maltenfort, Mitchell G; Vaccaro, Alex; Ratliff, John K

2011-01-01

large studies of ICD-9-based complication and hospital-acquired condition (HAC) chart reviews have not been validated through a comparison with prospective assessments of perioperative adverse event occurrence. Retrospective chart review, while generally assumed to underreport complication occurrence, has not been subjected to prospective study. It is unclear whether ICD-9-based population studies are more accurate than retrospective reviews or are perhaps equally susceptible to bias. To determine the validity of an ICD-9-based assessment of perioperative complications, the authors compared a prospective independent evaluation of such complications with ICD-9-based HAC data in a cohort of patients who underwent spine surgery. For further comparison, a separate retrospective review of the same cohort of patients was completed as well. a prospective assessment of complications in spine surgery over a 6-month period (May to December 2008) was completed using an independent auditor and a validated definition of perioperative complications. The auditor maintained a prospective database, which included complications occurring in the initial 30 days after surgery. All medical adverse events were included in the assessment. All patients undergoing spine surgery during the study period were eligible for inclusion; the only exclusionary criterion used was the availability of the auditor for patient assessment. From the overall patient database, 100 patients were randomly extracted for further review; in these patients ICD-9-based HAC data were obtained from coder data. Separately, a retrospective assessment of complication incidence was completed using chart and electronic medical record review. The same definition of perioperative adverse events and the inclusion of medical adverse events were applied in the prospective, ICD-9-based, and retrospective assessments. ninety-two patients had adequate records for the ICD-9 assessment, whereas 98 patients had adequate chart information for retrospective review. The overall complication incidence among the groups was similar (major complications: ICD-9 17.4%, retrospective 19.4%, and prospective 22.4%; minor complications: ICD-9 43.8%, retrospective 31.6%, and prospective 42.9%). However, the ICD-9-based assessment included many minor medical events not deemed complications by the auditor. Rates of specific complications were consistently underreported in both the ICD-9 and the retrospective assessments. The ICD-9 assessment underreported infection, the need for reoperation, deep wound infection, deep venous thrombosis, and new neurological deficits (p = 0.003, p < 0.0001, p < 0.0001, p = 0.0025, and p = 0.04, respectively). The retrospective review underestimated incidences of infection, the need for revision, and deep wound infection (p < 0.0001 for each). Only in the capture of new cardiac events was ICD-9-based reporting more accurate than prospective data accrual (p = 0.04). The most sensitive measure for the appreciation of complication occurrence was the prospective review, followed by the ICD-9-based assessment (p = 0.05). an ICD-9-based coding of perioperative adverse events and major complications in a cohort of spine surgery patients revealed an overall complication incidence similar to that in a prospectively executed measure. In contrast, a retrospective review underestimated complication incidence. The ICD-9-based review captured many medical events of limited clinical import, inflating the overall incidence of adverse events demonstrated by this approach. In multiple categories of major, clinically significant perioperative complications, ICD-9-based and retrospective assessments significantly underestimated complication incidence. These findings illustrate a significant potential weakness and source of inaccuracy in the use of population-based ICD-9 and retrospective complication recording.

Global classification and coding of hypersensitivity diseases - An EAACI - WAO survey, strategic paper and review.

PubMed

Demoly, P; Tanno, L K; Akdis, C A; Lau, S; Calderon, M A; Santos, A F; Sanchez-Borges, M; Rosenwasser, L J; Pawankar, R; Papadopoulos, N G

2014-05-01

Hypersensitivity diseases are not adequately coded in the International Coding of Diseases (ICD)-10 resulting in misclassification, leading to low visibility of these conditions and general accuracy of official statistics. To call attention to the inadequacy of the ICD-10 in relation to allergic and hypersensitivity diseases and to contribute to improvements to be made in the forthcoming revision of ICD, a web-based global survey of healthcare professionals' attitudes toward allergic disorders classification was proposed to the members of European Academy of Allergy and Clinical Immunology (EAACI) (individuals) and World Allergy Organization (WAO) (representative responding on behalf of the national society), launched via internet and circulated for 6 week. As a result, we had 612 members of 144 countries from all six World Health Organization (WHO) global regions who answered the survey. ICD-10 is the most used classification worldwide, but it was not considered appropriate in clinical practice by the majority of participants. The majority indicated the EAACI-WAO classification as being easier and more accurate in the daily practice. They saw the need for a diagnostic system useful for nonallergists and endorsed the possibility of a global, cross-culturally applicable classification system of allergic disorders. This first and most broadly international survey ever conducted of health professionals' attitudes toward allergic disorders classification supports the need to update the current classifications of allergic diseases and can be useful to the WHO in improving the clinical utility of the classification and its global acceptability for the revised ICD-11. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

INCIDENCE AND PREVALENCE OF ACROMEGALY IN THE UNITED STATES: A CLAIMS-BASED ANALYSIS.

PubMed

Broder, Michael S; Chang, Eunice; Cherepanov, Dasha; Neary, Maureen P; Ludlam, William H

2016-11-01

Acromegaly, a rare endocrine disorder, results from excessive growth hormone secretion, leading to multisystem-associated morbidities. Using 2 large nationwide databases, we estimated the annual incidence and prevalence of acromegaly in the U.S. We used 2008 to 2013 data from the Truven Health MarketScan ® Commercial Claims and Encounters Database and IMS Health PharMetrics healthcare insurance claims databases, with health plan enrollees <65 years of age. Study patients had ≥2 claims with acromegaly (International Classification of Diseases, 9th Revision, Clinical Modification Code [ICD-9CM] 253.0), or 1 claim with acromegaly and 1 claim for pituitary tumor, pituitary surgery, or cranial stereotactic radiosurgery. Annual incidence was calculated for each year from 2009 to 2013, and prevalence in 2013. Estimates were stratified by age and sex. Incidence was up to 11.7 cases per million person-years (PMPY) in MarketScan and 9.6 cases PMPY in PharMetrics. Rates were similar by sex but typically lowest in ≤17 year olds and higher in >24 year olds. The prevalence estimates were 87.8 and 71.0 per million per year in MarketScan and PharMetrics, respectively. Prevalence consistently increased with age but was similar by sex in each database. The current U.S. incidence of acromegaly may be up to 4 times higher and prevalence may be up to 50% higher than previously reported in European studies. Our findings correspond with the estimates reported by a recent U.S. study that used a single managed care database, supporting the robustness of these estimates in this population. Our study indicates there are approximately 3,000 new cases of acromegaly per year, with a prevalence of about 25,000 acromegaly patients in the U.S. CT = computed tomography GH = growth hormone IGF-1 = insulin-like growth factor 1 ICD-9-CM Code = International Classification of Diseases, 9th Revision, Clinical Modification Codes MRI = magnetic resonance imaging PMPY = per million person-years.

Validation of Case Finding Algorithms for Hepatocellular Cancer from Administrative Data and Electronic Health Records using Natural Language Processing

PubMed Central

Sada, Yvonne; Hou, Jason; Richardson, Peter; El-Serag, Hashem; Davila, Jessica

2013-01-01

Background Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC ICD-9 codes, and evaluated whether natural language processing (NLP) by the Automated Retrieval Console (ARC) for document classification improves HCC identification. Methods We identified a cohort of patients with ICD-9 codes for HCC during 2005–2010 from Veterans Affairs administrative data. Pathology and radiology reports were reviewed to confirm HCC. The positive predictive value (PPV), sensitivity, and specificity of ICD-9 codes were calculated. A split validation study of pathology and radiology reports was performed to develop and validate ARC algorithms. Reports were manually classified as diagnostic of HCC or not. ARC generated document classification algorithms using the Clinical Text Analysis and Knowledge Extraction System. ARC performance was compared to manual classification. PPV, sensitivity, and specificity of ARC were calculated. Results 1138 patients with HCC were identified by ICD-9 codes. Based on manual review, 773 had HCC. The HCC ICD-9 code algorithm had a PPV of 0.67, sensitivity of 0.95, and specificity of 0.93. For a random subset of 619 patients, we identified 471 pathology reports for 323 patients and 943 radiology reports for 557 patients. The pathology ARC algorithm had PPV of 0.96, sensitivity of 0.96, and specificity of 0.97. The radiology ARC algorithm had PPV of 0.75, sensitivity of 0.94, and specificity of 0.68. Conclusion A combined approach of ICD-9 codes and NLP of pathology and radiology reports improves HCC case identification in automated data. PMID:23929403

Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data

PubMed Central

2011-01-01

Background Co-morbidity information derived from administrative data needs to be validated to allow its regular use. We assessed evolution in the accuracy of coding for Charlson and Elixhauser co-morbidities at three time points over a 5-year period, following the introduction of the International Classification of Diseases, 10th Revision (ICD-10), coding of hospital discharges. Methods Cross-sectional time trend evaluation study of coding accuracy using hospital chart data of 3'499 randomly selected patients who were discharged in 1999, 2001 and 2003, from two teaching and one non-teaching hospital in Switzerland. We measured sensitivity, positive predictive and Kappa values for agreement between administrative data coded with ICD-10 and chart data as the 'reference standard' for recording 36 co-morbidities. Results For the 17 the Charlson co-morbidities, the sensitivity - median (min-max) - was 36.5% (17.4-64.1) in 1999, 42.5% (22.2-64.6) in 2001 and 42.8% (8.4-75.6) in 2003. For the 29 Elixhauser co-morbidities, the sensitivity was 34.2% (1.9-64.1) in 1999, 38.6% (10.5-66.5) in 2001 and 41.6% (5.1-76.5) in 2003. Between 1999 and 2003, sensitivity estimates increased for 30 co-morbidities and decreased for 6 co-morbidities. The increase in sensitivities was statistically significant for six conditions and the decrease significant for one. Kappa values were increased for 29 co-morbidities and decreased for seven. Conclusions Accuracy of administrative data in recording clinical conditions improved slightly between 1999 and 2003. These findings are of relevance to all jurisdictions introducing new coding systems, because they demonstrate a phenomenon of improved administrative data accuracy that may relate to a coding 'learning curve' with the new coding system. PMID:21849089

Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.

PubMed

Januel, Jean-Marie; Luthi, Jean-Christophe; Quan, Hude; Borst, François; Taffé, Patrick; Ghali, William A; Burnand, Bernard

2011-08-18

Co-morbidity information derived from administrative data needs to be validated to allow its regular use. We assessed evolution in the accuracy of coding for Charlson and Elixhauser co-morbidities at three time points over a 5-year period, following the introduction of the International Classification of Diseases, 10th Revision (ICD-10), coding of hospital discharges. Cross-sectional time trend evaluation study of coding accuracy using hospital chart data of 3'499 randomly selected patients who were discharged in 1999, 2001 and 2003, from two teaching and one non-teaching hospital in Switzerland. We measured sensitivity, positive predictive and Kappa values for agreement between administrative data coded with ICD-10 and chart data as the 'reference standard' for recording 36 co-morbidities. For the 17 the Charlson co-morbidities, the sensitivity - median (min-max) - was 36.5% (17.4-64.1) in 1999, 42.5% (22.2-64.6) in 2001 and 42.8% (8.4-75.6) in 2003. For the 29 Elixhauser co-morbidities, the sensitivity was 34.2% (1.9-64.1) in 1999, 38.6% (10.5-66.5) in 2001 and 41.6% (5.1-76.5) in 2003. Between 1999 and 2003, sensitivity estimates increased for 30 co-morbidities and decreased for 6 co-morbidities. The increase in sensitivities was statistically significant for six conditions and the decrease significant for one. Kappa values were increased for 29 co-morbidities and decreased for seven. Accuracy of administrative data in recording clinical conditions improved slightly between 1999 and 2003. These findings are of relevance to all jurisdictions introducing new coding systems, because they demonstrate a phenomenon of improved administrative data accuracy that may relate to a coding 'learning curve' with the new coding system.

Medicare program; inpatient rehabilitation facility prospective payment system for federal fiscal year 2015.

PubMed

2014-08-06

This final rule updates the prospective payment rates for inpatient rehabilitation facilities (IRFs) for federal fiscal year (FY) 2015 as required by the statute. This final rule finalizes a policy to collect data on the amount and mode (that is, Individual, Concurrent, Group, and Co-Treatment) of therapy provided in the IRF setting according to therapy discipline, revises the list of diagnosis and impairment group codes that presumptively meet the "60 percent rule'' compliance criteria, provides a way for IRFs to indicate on the Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI) form whether the prior treatment and severity requirements have been met for arthritis cases to presumptively meet the "60 percent rule'' compliance criteria, and revises and updates quality measures and reporting requirements under the IRF quality reporting program (QRP). This rule also delays the effective date for the revisions to the list of diagnosis codes that are used to determine presumptive compliance under the "60 percent rule'' that were finalized in FY 2014 IRF PPS final rule and adopts the revisions to the list of diagnosis codes that are used to determine presumptive compliance under the "60 percent rule'' that are finalized in this rule. This final rule also addresses the implementation of the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), for the IRF prospective payment system (PPS), which will be effective when ICD-10-CM becomes the required medical data code set for use on Medicare claims and IRF-PAI submissions.

Hypertension is Associated With Increased Mortality in Children Hospitalized With Arterial Ischemic Stroke.

PubMed

Adil, Malik M; Beslow, Lauren A; Qureshi, Adnan I; Malik, Ahmed A; Jordan, Lori C

2016-03-01

Recently a single-center study suggested that hypertension after stroke in children was a risk factor for mortality. Our goal was to assess the association between hypertension and outcome after arterial ischemic stroke in children from a large national sample. Using the Healthcare Cost and Utilization Project Kids' Inpatient Database, children (1-18 years) with a primary diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision [ICD-9] codes 433-437.1) who also had a diagnosis of elevated blood pressure (ICD-9 code 796.2) or hypertension (ICD-9 codes 401 and 405) from 2003, 2006, and 2009 were identified. Clinical characteristics, discharge outcomes, and length of stay were assessed. Multivariable logistic regression was used to assess the relationship between hypertension and in-hospital mortality or discharge outcomes. Of 2590 children admitted with arterial ischemic stroke, 156 (6%) also had a diagnosis of hypertension. Ten percent of children with hypertension also had renal failure. Among patients with arterial ischemic stroke, hypertension was associated with increased mortality (7.4% vs. 2.8%; P = 0.01) and increased length of stay (mean 11 ± 17 vs. 7 ± 12 days; P = 0.004) compared with those without hypertension. After adjusting for age, sex, intubation, presence of a fluid and electrolyte disorder, and renal failure, children with hypertension had an increased odds of in-hospital death (odds ratio 1.2, 95% confidence interval [1.1-3.3, P = 0.04]). Hypertension was associated with an increased risk of in-hospital death for children presenting with arterial ischemic stroke. Further prospective study of blood pressure in children with stroke is needed. Copyright © 2016 Elsevier Inc. All rights reserved.

Understanding Toxoplasmosis in the United States Through “Large Data” Analyses

PubMed Central

Lykins, Joseph; Wang, Kanix; Wheeler, Kelsey; Clouser, Fatima; Dixon, Ashtyn; El Bissati, Kamal; Zhou, Ying; Lyttle, Christopher; Rzhetsky, Andrey; McLeod, Rima

2016-01-01

Background. Toxoplasma gondii infection causes substantial morbidity and mortality in the United States, and infects approximately one-third of persons globally. Clinical manifestations vary. Seropositivity is associated with neurologic diseases and malignancies. There are few objective data concerning US incidence and distribution of toxoplasmosis. Methods. Truven Health MarketScan Database and International Classification of Diseases, Ninth Revision (ICD-9) codes, including treatment specific to toxoplasmosis, identified patients with this disease. Spatiotemporal distribution and patterns of disease manifestation were analyzed. Comorbidities between patients and matched controls were compared. Results. Between 2003 and 2012, 9260 patients had ICD-9 codes for toxoplasmosis. This database of patients with ICD-9 codes includes 15% of those in the United States, excluding patients with no or public insurance. Thus, assuming that demographics do not change incidence, the calculated total is 61 700 or 6856 patients per year. Disease was more prevalent in the South. Mean age at diagnosis was 37.5 ± 15.5 years; 2.4% were children aged 0–2 years, likely congenitally infected. Forty-one percent were male, and 73% of women were of reproductive age. Of identified patients, 38% had eye disease and 12% presented with other serious manifestations, including central nervous system and visceral organ damage. Toxoplasmosis was statistically associated with substantial comorbidities, including human immunodeficiency virus, autoimmune diseases, and neurologic diseases. Conclusions. Toxoplasmosis causes morbidity and mortality in the United States. Our analysis of private insurance records missed certain at-risk populations and revealed fewer cases of retinal disease than previously estimated, suggesting undercoding, underreporting, undertreating, or differing demographics of those with eye disease. Mandatory reporting of infection to health departments and gestational screening could improve care and facilitate detection of epidemics and, thereby, public health interventions. PMID:27353665

Unsupervised Extraction of Diagnosis Codes from EMRs Using Knowledge-Based and Extractive Text Summarization Techniques

PubMed Central

Kavuluru, Ramakanth; Han, Sifei; Harris, Daniel

2017-01-01

Diagnosis codes are extracted from medical records for billing and reimbursement and for secondary uses such as quality control and cohort identification. In the US, these codes come from the standard terminology ICD-9-CM derived from the international classification of diseases (ICD). ICD-9 codes are generally extracted by trained human coders by reading all artifacts available in a patient’s medical record following specific coding guidelines. To assist coders in this manual process, this paper proposes an unsupervised ensemble approach to automatically extract ICD-9 diagnosis codes from textual narratives included in electronic medical records (EMRs). Earlier attempts on automatic extraction focused on individual documents such as radiology reports and discharge summaries. Here we use a more realistic dataset and extract ICD-9 codes from EMRs of 1000 inpatient visits at the University of Kentucky Medical Center. Using named entity recognition (NER), graph-based concept-mapping of medical concepts, and extractive text summarization techniques, we achieve an example based average recall of 0.42 with average precision 0.47; compared with a baseline of using only NER, we notice a 12% improvement in recall with the graph-based approach and a 7% improvement in precision using the extractive text summarization approach. Although diagnosis codes are complex concepts often expressed in text with significant long range non-local dependencies, our present work shows the potential of unsupervised methods in extracting a portion of codes. As such, our findings are especially relevant for code extraction tasks where obtaining large amounts of training data is difficult. PMID:28748227

Trends in Gastroenteritis-associated Mortality in the United States 1985-2005: Variations by ICD-9 and ICD-10 Codes

EPA Science Inventory

BackgroundTrends in gastroenteritis-associated mortality are changing over time with development of antibiotic resistant strains of certain pathogens, improved diagnostic methods, and changing healthcare. In 1999, ICD-10 coding was introduced for mortality records which can also ...

Leveraging the NLM map from SNOMED CT to ICD-10-CM to facilitate adoption of ICD-10-CM.

PubMed

Cartagena, F Phil; Schaeffer, Molly; Rifai, Dorothy; Doroshenko, Victoria; Goldberg, Howard S

2015-05-01

Develop and test web services to retrieve and identify the most precise ICD-10-CM code(s) for a given clinical encounter. Facilitate creation of user interfaces that 1) provide an initial shortlist of candidate codes, ideally visible on a single screen; and 2) enable code refinement. To satisfy our high-level use cases, the analysis and design process involved reviewing available maps and crosswalks, designing the rule adjudication framework, determining necessary metadata, retrieving related codes, and iteratively improving the code refinement algorithm. The Partners ICD-10-CM Search and Mapping Services (PI-10 Services) are SOAP web services written using Microsoft's.NET 4.0 Framework, Windows Communications Framework, and SQL Server 2012. The services cover 96% of the Partners problem list subset of SNOMED CT codes that map to ICD-10-CM codes and can return up to 76% of the 69,823 billable ICD-10-CM codes prior to creation of custom mapping rules. We consider ways to increase 1) the coverage ratio of the Partners problem list subset of SNOMED CT codes and 2) the upper bound of returnable ICD-10-CM codes by creating custom mapping rules. Future work will investigate the utility of the transitive closure of SNOMED CT codes and other methods to assist in custom rule creation and, ultimately, to provide more complete coverage of ICD-10-CM codes. ICD-10-CM will be easier for clinicians to manage if applications display short lists of candidate codes from which clinicians can subsequently select a code for further refinement. The PI-10 Services support ICD-10 migration by implementing this paradigm and enabling users to consistently and accurately find the best ICD-10-CM code(s) without translation from ICD-9-CM. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

[Suicide trends in Colombia, 1985-2002].

PubMed

Cendales, Ricardo; Vanegas, Claudia; Fierro, Marco; Córdoba, Rodrigo; Olarte, Ana

2007-10-01

To report trends in mortality from suicide in Colombia from 1985 to 2002 by sex, age group, and method, and determine the number of Years of Potential Life Lost (YPLL) to suicide during this period. Age- and sex-specific and age-adjusted crude mortality rates were calculated based on mortality and population information available from the official database of the Department of National Statistics Administration, Colombia. YPLL were estimated and adjusted for societal impact, age, and poor quality of mortality records. The results were tabulated according to codes X600-X849 and Y870 from the International Statistical Classification of Disease and Related Health Problems, 10th revision (ICD-10), and codes E950-E959 from the 9th revision (ICD-9). Suicide rates have been climbing in Colombia since 1998, particularly among young adults and males. The highest rates among males were in the age groups 20-29 years of age and over 70 years of age, and rates increased over time. Among females, the highest rates were recorded for the group 10-19 years of age. The YPLL rose in proportion with the increase in suicides, from 0.81% in 1981 to 2.20% in 2002. Among males, the most common methods used were firearms and explosives, hanging, and poison, with a relative increase in hanging; whereas among females, poison was most common. A rising trend in suicide rates in Colombia was confirmed, especially among the productive segment of the population, which has resulted in a marked increase in YPLL.

Evaluation of playground injuries based on ICD, E codes, international classification of external cause of injury codes (ICECI), and abbreviated injury scale coding systems.

PubMed

Tan, N C; Ang, A; Heng, D; Chen, J; Wong, H B

2007-01-01

The survey is aimed to describe the epidemiology of playground related injuries in Singapore based on the ICD-9, AIS/ ISS and PTS scoring systems, and mechanisms and causes of such injuries according to E codes and ICECI codes. A cross-sectional questionnaire survey examined children (< 16 years old), who sought treatment for or died of unintentional injuries in the ED of three hospitals, two primary care centers and the sole Forensic Medicine Department of Singapore. A data dictionary was compiled using guidelines from CDC/WHO. The ISS, AIS and PTS, ICD-9, ICECI v1 and E codes were used to describe the details of the injuries. 19,094 childhood injuries were recorded in the database, of which 1617 were playground injuries (8.5%). The injured children (mean age=6.8 years, SD 2.9 years) were predo-minantly male (M:F ratio = 1.71:1). Falls were the most frequent in-juries (70.7%) using ICECI. 25.0% of injuries involved radial and ulnar fractures (ICD-9 code). 99.4% of these injuries were minor, with PTS scores of 9-12. Children aged 6-10 years, were prone to upper limb injuries (71.1%) based on AIS. The use of international coding systems in injury surveillance facilitated standardisation of description and comparison of playground injuries.

Categorization of allergic disorders in the new World Health Organization International Classification of Diseases.

PubMed

Tanno, Luciana Kase; Calderon, Moises A; Goldberg, Bruce J; Akdis, Cezmi A; Papadopoulos, Nikolaos G; Demoly, Pascal

2014-01-01

Although efforts to improve the classification of hypersensitivity/allergic diseases have been made, they have not been considered a top-level category in the International Classification of Diseases (ICD)-10 and still are not in the ICD-11 beta phase linearization. ICD-10 is the most used classification system by the allergy community worldwide but it is not considered as appropriate for clinical practice. The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) on the other hand contains a tightly integrated classification of hypersensitivity/allergic disorders based on the EAACI/WAO nomenclature and the World Health Organization (WHO) may plan to align ICD-11 with SNOMED CT so that they share a common ontological basis. With the aim of actively supporting the ongoing ICD-11 revision and the optimal practice of Allergology, we performed a careful comparison of ICD-10 and 11 beta phase linearization codes to identify gaps, areas of regression in allergy coding and possibly reach solutions, in collaboration with committees in charge of the ICD-11 revision. We have found a significant degree of misclassification of terms in the allergy-related hierarchies. This stems not only from unclear definitions of these conditions but also the use of common names that falsely imply allergy. The lack of understanding of the immune mechanisms underlying some of the conditions contributes to the difficulty in classification. More than providing data to support specific changes into the ongoing linearization, these results highlight the need for either a new chapter entitled Hypersensitivity/Allergic Disorders as in SNOMED CT or a high level structure in the Immunology chapter in order to make classification more appropriate and usable.

Change in MS-DRG assignment and hospital reimbursement as a result of Centers for Medicare & Medicaid changes in payment for hospital-acquired conditions: is it coding or quality?

PubMed

McNutt, Robert; Johnson, Tricia J; Odwazny, Richard; Remmich, Zachary; Skarupski, Kimberly; Meurer, Steven; Hohmann, Samuel; Harting, Brian

2010-01-01

In October 2008, the Centers for Medicare & Medicaid Services reduced payments to hospitals for a group of hospital-acquired conditions (HACs) not documented as present on admission (POA). It is unknown what proportion of Medicare severity diagnosis related group (MS-DRG) assignments will change when the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis code for the HAC is not taken into account even before considering the POA status. The primary objectives were to estimate the proportion of cases that change MS-DRG assignment when HACs are removed from the calculation, the subsequent changes in reimbursement to hospitals, and the attenuation in changes in MS-DRG assignment after factoring in those that may be POA. Last, we explored the effect of the numbers of ICD-9-CM diagnosis codes on MS-DRG assignment. We obtained 2 years of discharge data from academic medical centers that were members of the University Health System Consortium and identified all cases with 1 of 7 HACs coded through ICD-9-CM diagnosis codes. We calculated the MS-DRG for each case with and without the HAC and, hence, the proportion where MS-DRG assignment changed. Next, we used a bootstrap method to calculate the range in the proportion of cases changing assignment to account for POA status. Changes in reimbursement were estimated by using the 2008 MS-DRG weights payment formula. Of 184,932 cases with at least 1 HAC, 27.6% (n = 52,272) would experience a change in MS-DRG assignment without the HAC factored into the assignment. After taking into account those conditions that were potentially POA, 7.5% (n = 14,176) of the original cases would change MS-DRG assignment, with an average loss in reimbursement per case ranging from $1548 with a catheter-associated urinary tract infection to $7310 for a surgical site infection. These reductions would translate into a total reimbursement loss of $50 261,692 (range: $38 330,747-$62 344,360) for the 86 academic medical centers. Those cases, for all conditions, with reductions in payment also have fewer additional ICD-9-CM codes associated. Removing HACs from MS-DRG assignment may result in significant cost savings for the Centers for Medicare & Medicaid Services through reduced payment to hospitals. As more conditions are added, the negative impact on hospital reimbursement may become greater. However, it is possible that variation in coding practice may affect cost savings and not reflect true differences in quality of care.

MedlinePlus Connect

MedlinePlus

... code requests: Problems/Diagnoses • ICD-9-CM (International Classification of Disease, 9 th edition, Clinical Modification) • ICD-10-CM (International Classification of Disease, 10 th edition, Clinical Modification) • SNOMED ...

Air Force Operational Medicine: Using the Enterprise Estimating Supplies Program to Develop Materiel Solutions for the Operational Requirements of the Air Force Oral Surgery Team (FFMAX)

DTIC Science & Technology

2010-10-14

non-battle injuries , and illnesses. International Classification of Diseases, Ninth Revision (ICD-9) coded patient conditions that have been selected...The patient stream was used to simulate the equipment and supply requirements for the range of surgical cases and non-surgical injuries and illnesses...supplies” column identifies the items needed to complete the “Insert endo - trach tube” task at that level of capability. Not shown in this figure are

Quality of data regarding diagnoses of spinal disorders in administrative databases. A multicenter study.

PubMed

Faciszewski, T; Broste, S K; Fardon, D

1997-10-01

The purpose of the present study was to evaluate the accuracy of data regarding diagnoses of spinal disorders in administrative databases at eight different institutions. The records of 189 patients who had been managed for a disorder of the lumbar spine were independently reviewed by a physician who assigned the appropriate diagnostic codes according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). The age range of the 189 patients was seventeen to eighty-four years. The six major diagnostic categories studied were herniation of a lumbar disc, a previous operation on the lumbar spine, spinal stenosis, cauda equina syndrome, acquired spondylolisthesis, and congenital spondylolisthesis. The diagnostic codes assigned by the physician were compared with the codes that had been assigned during the ordinary course of events by personnel in the medical records department of each of the eight hospitals. The accuracy of coding was also compared among the eight hospitals, and it was found to vary depending on the diagnosis. Although there were both false-negative and false-positive codes at each institution, most errors were related to the low sensitivity of coding for previous spinal operations: only seventeen (28 per cent) of sixty-one such diagnoses were coded correctly. Other errors in coding were less frequent, but their implications for conclusions drawn from the information in administrative databases depend on the frequency of a diagnosis and its importance in an analysis. This study demonstrated that the accuracy of a diagnosis of a spinal disorder recorded in an administrative database varies according to the specific condition being evaluated. It is necessary to document the relative accuracy of specific ICD-9-CM diagnostic codes in order to improve the ability to validate the conclusions derived from investigations based on administrative databases.

Inpatient burden of childhood functional GI disorders in the USA: an analysis of national trends in the USA from 1997 to 2009.

PubMed

Park, R; Mikami, S; LeClair, J; Bollom, A; Lembo, C; Sethi, S; Lembo, A; Jones, M; Cheng, V; Friedlander, E; Nurko, S

2015-05-01

Functional gastrointestinal disorders (FGIDs) are among the most common outpatient diagnoses in pediatric primary care and gastroenterology. There is limited data on the inpatient burden of childhood FGIDs in the USA. The aim of this study was to evaluate the inpatient admission rate, length of stay (LoS), and associated costs related to FGIDs from 1997 to 2009. We analyzed the Kids' Inpatient Sample Database (KID) for all subjects in which constipation (ICD-9 codes: 564.0-564.09), abdominal pain (ICD-9 codes: 789.0-789.09), irritable bowel syndrome (IBS) (ICD-9 code: 564.1), abdominal migraine (ICD-9 code: 346.80 and 346.81) dyspepsia (ICD-9 code: 536.8), or fecal incontinence (ICD-codes: 787.6-787.63) was the primary discharge diagnosis from 1997 to 2009. The KID is the largest publicly available all-payer inpatient database in the USA, containing data from 2 to 3 million pediatric hospital stays yearly. From 1997 to 2009, the number of discharges with a FGID primary diagnosis increased slightly from 6,348,537 to 6,393,803. The total mean cost per discharge increased significantly from $6115 to $18,058 despite the LoS remaining relatively stable. Constipation and abdominal pain were the most common FGID discharge diagnoses. Abdominal pain and abdominal migraine discharges were most frequent in the 10-14 year age group. Constipation and fecal incontinence discharges were most frequent in the 5-9 year age group. IBS discharge was most common for the 15-17 year age group. Hospitalizations and associated costs in childhood FGIDs have increased in number and cost in the USA from 1997 to 2009. Further studies to determine optimal methods to avoid unnecessary hospitalizations and potentially harmful diagnostic testing are indicated. © 2015 John Wiley & Sons Ltd.

Inpatient Burden of Childhood Functional GI Disorders in the United States: An Analysis of National Trends in the U.S. from 1997 to 2009

PubMed Central

Park, Richard; Mikami, Sage; LeClair, Jack; Bollom, Andrea; Lembo, Cara; Sethi, Saurabh; Lembo, Anthony; Jones, Mike; Cheng, Vivian; Friedlander, Elizabeth; Nurko, Samuel

2017-01-01

BACKGROUND Functional Gastrointestinal Disorders (FGIDs) are among the most common outpatient diagnoses in pediatric primary care and gastroenterology. There is limited data on the inpatient burden of childhood FGIDs in the U.S. The aim of this study was to evaluate the inpatient admission rate, length of stay, and associated costs related to FGIDs from 1997–2009. METHODS We analyzed the Kids’ Inpatient Sample Database (KID) for all subjects in which constipation (ICD-9 codes: 564.0–564.09), abdominal pain (ICD-9 codes: 789.0–789.09), irritable bowel syndrome (IBS) (ICD-9 code: 564.1), abdominal migraine (ICD-9 code:346.80 and 346.81)dyspepsia (ICD-9 code: 536.8) or fecal incontinence (ICD-codes: 787.6–787.63) was the primary discharge diagnosis from 1997–2009. The KID is the largest publicly available all-payer inpatient database in the U.S., containing data from 2–3 million pediatric hospital stays yearly. KEY RESULTS From 1997–2009, the number of discharges with a FGID primary diagnosis increased slightly from 6,348,537 to 6,393,803. The total mean cost per discharge increased significantly from $6115 to $18,058 despite the length of stay remaining relatively stable. Constipation and abdominal pain were the most common FGID discharge diagnoses. Abdominal pain and abdominal migraine discharges were most frequent in the 10–14 year age group. Constipation and fecal incontinence discharges were most frequent in the 5–9 year age group. IBS discharge was most common for the 15–17 year age group. CONCLUSIONS AND INFERENCES Hospitalizations and associated costs in childhood FGIDs have increased in number and cost in the U.S. from 1997–2009. Further studies to determine optimal methods to avoid unnecessary hospitalizations and potentially harmful diagnostic testing are indicated. PMID:25809794

Importance of ICD-10 coding directive change for acute gastroenteritis (unspecified) for rotavirus vaccine impact studies: illustration from a population-based cohort study from Ontario, Canada.

PubMed

Wilson, Sarah E; Deeks, Shelley L; Rosella, Laura C

2015-09-15

In Ontario, Canada, we conducted an evaluation of rotavirus (RV) vaccine on hospitalizations and Emergency Department (ED) visitations for acute gastroenteritis (AGE). In our original analysis, any one of the International Classification of Disease, Version 10 (ICD-10) codes was used for outcome ascertainment: RV-specific- (A08.0), viral- (A08.3, A08. 4, A08.5), and unspecified infectious- gastroenteritis (A09). Annual age-specific rates per 10,000 population were calculated. The average monthly rate of AGE hospitalization for children under age two increased from 0.82 per 10,000 from January 2003 to March 2009, to 2.35 over the period of April 2009 to March 31, 2013. Similar trends were found for ED consultations and in other age groups. A rise in events corresponding to the A09 code was found when the outcome definition was disaggregated by ICD-10 code. Documentation obtained from the World Health Organization confirmed that a change in directive for the classification of unspecified gastroenteritis occurred with the release of ICD-10 in April 2009. AGE events previously classified under the code K52.9, are now classified under code A09.9. Based on change in the classification of unspecified gastroenteritis we modified our outcome definition to also include unspecified non-infectious-gastroenteritis (K52.9). We recommend other investigators consider using both A09.9 and K52.9 ICD-10 codes for outcome ascertainment in future rotavirus vaccine impact studies to ensure that all unspecified cases of AGE are captured, especially if the study period spans 2009.

Hispanics/Latinos & Cardiovascular Disease: Statistical Fact Sheet

MedlinePlus

Statistical Fact Sheet 2013 Update Hispanics/Latinos & Cardiovascular Diseases Cardiovascular Disease (CVD) (ICD/10 codes I00-I99, Q20-Q28) (ICD/9 codes 390-459, 745-747)  Among Mexican-American adults age 20 ...

USE OF ELECTRONIC HEALTH RECORDS TO CHARACTERIZE A RARE DISEASE IN THE U.S.: TREATMENT, COMORBIDITIES, AND FOLLOW-UP TRENDS AMONG PATIENTS WITH A CONFIRMED DIAGNOSIS OF ACROMEGALY.

PubMed

Silverstein, Julie M; Roe, Erin D; Munir, Kashif M; Fox, Janet L; Emir, Birol; Kouznetsova, Maria; Lamerato, Lois E; King, Donna

2018-06-01

Understanding of acromegaly disease management is hampered in the U.S. by the lack of a national registry. We describe medical management in a population with confirmed acromegaly. Inpatient and outpatient electronic health records (EHRs) were used to create a database of de-identified patients assigned the Acromegaly and Gigantism International Classification of Diseases, 9 th revision (ICD-9) code and/or an appropriate pituitary procedure code at 1 of 4 regional hospital systems over a 6- to 11-year period. Information regarding demographics, medical history, labs, procedures, and medications was collected and supplemented with a chart review to validate the diagnosis of acromegaly. Of 367 patients with validated acromegaly, available records showed that during the years studied, pituitary surgery was performed on 31%, 4% received radiosurgery, and 22% were prescribed a drug indicated for acromegaly. Insulin-like growth factor-1 (IGF-1) levels were measured in 62% of patients, 83% of whom had at least 1 normal value. Coded comorbidities reflect those reported previously in patients with acromegaly, with the exception of esophageal reflux in 20% of patient records. Fewer data regarding acromegaly-specific medications and testing were available for patients aged 65 and older. AcroMEDIC is a U.S. multisite retrospective study of acromegaly that captured medical management in the majority of patients included in the cohort. Chart review highlighted the importance of verification of coded diagnoses. Most of the acromegaly-related comorbidities identified here are known to increase with age and obesity. Patients ≥65 appeared to have less active management/monitoring of their disease. Medical attention should be directed to this population to address evolving needs over time. AcroMEDIC = Acromegaly Multisite Electronic Data Innovative Consortium; BMI = body mass index; CCI = Charlson Comorbidity Index; EHR = electronic health record; GH = growth hormone; GHRA = growth hormone receptor antagonist; ICD-9 = International Classification of Diseases, 9 th revision; IGF-1 = insulin-like growth factor-1; SSA = somatostatin analogue.

ISS mapped from ICD-9-CM by a novel freeware versus traditional coding: a comparative study.

PubMed

Di Bartolomeo, Stefano; Tillati, Silvia; Valent, Francesca; Zanier, Loris; Barbone, Fabio

2010-03-31

Injury severity measures are based either on the Abbreviated Injury Scale (AIS) or the International Classification of diseases (ICD). The latter is more convenient because routinely collected by clinicians for administrative reasons. To exploit this advantage, a proprietary program that maps ICD-9-CM into AIS codes has been used for many years. Recently, a program called ICDPIC trauma and developed in the USA has become available free of charge for registered STATA users. We compared the ICDPIC calculated Injury Severity Score (ISS) with the one from direct, prospective AIS coding by expert trauma registrars (dAIS). The administrative records of the 289 major trauma cases admitted to the hospital of Udine-Italy from 1 July 2004 to 30 June 2005 and enrolled in the Italian Trauma Registry were retrieved and ICDPIC-ISS was calculated. The agreement between ICDPIC-ISS and dAIS-ISS was assessed by Cohen's Kappa and Bland-Altman charts. We then plotted the differences between the 2 scores against the ratio between the number of traumatic ICD-9-CM codes and the number of dAIS codes for each patient (DIARATIO). We also compared the absolute differences in ISS among 3 groups identified by DIARATIO. The discriminative power for survival of both scores was finally calculated by ROC curves. The scores matched in 33/272 patients (12.1%, k 0.07) and, when categorized, in 80/272 (22.4%, k 0.09). The Bland-Altman average difference was 6.36 (limits: minus 22.0 to plus 34.7). ICDPIC-ISS of 75 was particularly unreliable. The differences increased (p < 0.01) as DIARATIO increased indicating incomplete administrative coding as a cause of the differences. The area under the curve of ICDPIC-ISS was lower (0.63 vs. 0.76, p = 0.02). Despite its great potential convenience, ICPIC-ISS agreed poorly with its conventionally calculated counterpart. Its discriminative power for survival was also significantly lower. Incomplete ICD-9-CM coding was a main cause of these findings. Because this quality of coding is standard in Italy and probably in other European countries, its effects on the performances of other trauma scores based on ICD administrative data deserve further research. Mapping ICD-9-CM code 862.8 to AIS of 6 is an overestimation.

Determination of Problematic ICD-9-CM Subcategories for Further Study of Coding Performance: Delphi Method

PubMed Central

Zeng, Xiaoming; Bell, Paul D

2011-01-01

In this study, we report on a qualitative method known as the Delphi method, used in the first part of a research study for improving the accuracy and reliability of ICD-9-CM coding. A panel of independent coding experts interacted methodically to determine that the three criteria to identify a problematic ICD-9-CM subcategory for further study were cost, volume, and level of coding confusion caused. The Medicare Provider Analysis and Review (MEDPAR) 2007 fiscal year data set as well as suggestions from the experts were used to identify coding subcategories based on cost and volume data. Next, the panelists performed two rounds of independent ranking before identifying Excisional Debridement as the subcategory that causes the most confusion among coders. As a result, they recommended it for further study aimed at improving coding accuracy and variation. This framework can be adopted at different levels for similar studies in need of a schema for determining problematic subcategories of code sets. PMID:21796264

Simplified diagnostic coding sheet for computerized data storage and analysis in ophthalmology.

PubMed

Tauber, J; Lahav, M

1987-11-01

A review of currently-available diagnostic coding systems revealed that most are either too abbreviated or too detailed. We have compiled a simplified diagnostic coding sheet based on the International Coding and Diagnosis (ICD-9), which is both complete and easy to use in a general practice. The information is transferred to a computer, which uses the relevant (ICD-9) diagnoses as database and can be retrieved later for display of patients' problems or analysis of clinical data.

Challenges in using medicaid claims to ascertain child maltreatment.

PubMed

Raghavan, Ramesh; Brown, Derek S; Allaire, Benjamin T; Garfield, Lauren D; Ross, Raven E; Hedeker, Donald

2015-05-01

Medicaid data contain International Classification of Diseases, Clinical Modification (ICD-9-CM) codes indicating maltreatment, yet there is a little information on how valid these codes are for the purposes of identifying maltreatment from health, as opposed to child welfare, data. This study assessed the validity of Medicaid codes in identifying maltreatment. Participants (n = 2,136) in the first National Survey of Child and Adolescent Well-Being were linked to their Medicaid claims obtained from 36 states. Caseworker determinations of maltreatment were compared with eight sets of ICD-9-CM codes. Of the 1,921 children identified by caseworkers as being maltreated, 15.2% had any relevant ICD-9-CM code in any of their Medicaid files across 4 years of observation. Maltreated boys and those of African American race had lower odds of displaying a maltreatment code. Using only Medicaid claims to identify maltreated children creates validity problems. Medicaid data linkage with other types of administrative data is required to better identify maltreated children. © The Author(s) 2014.

Infant Deaths Due To Herpes Simplex Virus, Congenital Syphilis, and HIV in New York City.

PubMed

Sampath, Amitha; Maduro, Gil; Schillinger, Julia A

2016-04-01

Neonatal infection with herpes simplex virus (HSV) is not a nationally reportable disease; there have been few population-based measures of HSV-related infant mortality. We describe infant death rates due to neonatal HSV as compared with congenital syphilis (CS) and HIV, 2 reportable, perinatally transmitted diseases, in New York City from 1981 to 2013. We identified neonatal HSV-, CS-, and HIV-related deaths using International Classification of Diseases (ICD) codes listed on certificates of death or stillbirth issued in New York City. Deaths were classified as HSV-related if certificates listed (1) any HSV ICD-9/ICD-10 codes for deaths ≤42 days of age, (2) any HSV ICD-9/ICD-10 codes and an ICD code for perinatal infection for deaths at 43 to 365 days of age, or (3) an ICD-10 code for congenital HSV. CS- and HIV-related deaths were those listing any ICD code for syphilis or HIV. There were 34 deaths due to neonatal HSV (0.82 deaths per 100 000 live births), 38 from CS (0.92 per 100 000), and 262 from HIV (6.33 per 100 000). There were no CS-related deaths after 1996, and only 1 HIV-related infant death after 2004. The neonatal HSV-related death rate during the most recent decade (2004-2013) was significantly higher than in previous years. The increasing neonatal HSV-related death rate may reflect increases in neonatal herpes incidence; an increasing number of pregnant women have never had HSV type 1 and are therefore at risk of acquiring infection during pregnancy and transmitting to their infant. Copyright © 2016 by the American Academy of Pediatrics.

Surveillance of paediatric traumatic brain injuries using the NEISS: choosing an appropriate case definition.

PubMed

Thompson, Meghan C; Wheeler, Krista K; Shi, Junxin; Smith, Gary A; Groner, Jonathan I; Haley, Kathryn J; Xiang, Huiyun

2014-01-01

To evaluate the definition of traumatic brain injury (TBI) in the National Electronic Injury Surveillance System (NEISS) and compare TBI case ascertainment using NEISS vs. ICD-9-CM diagnosis coding. Two data samples from a NEISS participating emergency department (ED) in 2008 were compared: (1) NEISS records meeting the recommended NEISS TBI definition and (2) Hospital ED records meeting the ICD-9-CM CDC recommended TBI definition. The sensitivity and positive predictive value were calculated for the NEISS definition using the ICD-9-CM definition as the gold standard. Further analyses were performed to describe cases characterized as TBIs in both datasets and to determine why some cases were not classified as TBIs in both datasets. There were 1834 TBI cases captured by the NEISS and 1836 TBI cases captured by the ICD-9-CM coded ED record, but only 1542 were eligible for inclusion in NEISS. There were 1403 cases classified as TBIs by both the NEISS and ICD-9-CM diagnosis codes. The NEISS TBI definition had a sensitivity of 91.0% (95% CI = 89.6-92.4%) and positive predictive value of 76.5% (95% CI = 74.6-78.4%). Using the NEISS TBI definition presented in this paper would standardize and improve the accuracy of TBI research using the NEISS.

Coding of Barrett's oesophagus with high-grade dysplasia in national administrative databases: a population-based cohort study.

PubMed

Chadwick, Georgina; Varagunam, Mira; Brand, Christian; Riley, Stuart A; Maynard, Nick; Crosby, Tom; Michalowski, Julie; Cromwell, David A

2017-06-09

The International Classification of Diseases 10th Revision (ICD-10) system used in the English hospital administrative database (Hospital Episode Statistics (HES)) does not contain a specific code for oesophageal high-grade dysplasia (HGD). The aim of this paper was to examine how patients with HGD were coded in HES and whether it was done consistently. National population-based cohort study of patients with newly diagnosed with HGD in England. The study used data collected prospectively as part of the National Oesophago-Gastric Cancer Audit (NOGCA). These records were linked to HES to investigate the pattern of ICD-10 codes recorded for these patients at the time of diagnosis. All patients with a new diagnosis of HGD between 1 April 2013 and 31 March 2014 in England, who had data submitted to the NOGCA. The main outcome assessed was the pattern of primary and secondary ICD-10 diagnostic codes recorded in the HES records at endoscopy at the time of diagnosis of HGD. Among 452 patients with a new diagnosis of HGD between 1 April 2013 and 31 March 2014, Barrett's oesophagus was the only condition coded in 200 (44.2%) HES records. Records for 59 patients (13.1%) contained no oesophageal conditions. The remaining 193 patients had various diagnostic codes recorded, 93 included a diagnosis of Barrett's oesophagus and 57 included a diagnosis of oesophageal/gastric cardia cancer. HES is not suitable to support national studies looking at the management of HGD. This is one reason for the UK to adopt an extended ICD system (akin to ICD-10-CM). © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Health care resource utilization before and after perampanel initiation among patients with epilepsy in the United States.

PubMed

Faught, Edward; Laliberté, François; Wang, Zhixiao; Barghout, Victoria; Haider, Batool; Lejeune, Dominique; Germain, Guillaume; Choi, Jiyoon; Wagh, Aneesha; Duh, Mei Sheng

2017-10-01

The purpose of this study was to evaluate changes in health care resource utilization following the initiation of perampanel for the treatment of epilepsy in the United States. Health care claims from Symphony Health's Integrated Dataverse database between December 2012 and November 2015 were analyzed. Patients newly initiated on perampanel, having ≥1 epilepsy (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code 345.xx, ICD-10-CM code G40.xxx) or nonfebrile convulsion (ICD-9-CM code 780.39, ICD-10-CM code R56.9) diagnosis, and having ≥6 months of baseline and observation periods were included. Patients <12 years old at perampanel initiation were excluded. Of the 2,508 perampanel patients included in the study, the mean [median] (±standard deviation [SD]) age was 35.8 [34] (±16.0) years and 56.2% were female. The mean [median] (±SD) observation duration was 459.8 [462] (±146.3) days in the postperampanel period. The postperampanel period was associated with significantly lower rates of all health care resource utilization outcomes than the pre-period. For the post- versus pre-period, perampanel users had 42.3 versus 53.8 overall hospitalizations per 100 person-years (rate ratio [RR] = 0.80, p < 0.001) and 1,240.2 versus 1,343.8 outpatient visits per 100 person-years (RR = 0.91, p < 0.001). Epilepsy-related hospitalizations and outpatient visits were 25.2 versus 33.6 per 100 person-years (RR = 0.76, p < 0.001) and 327.0 versus 389.0 per 100 person-years (RR = 0.84, p < 0.001), respectively. Additionally, a significantly lower rate of status epilepticus in the post-period (1.8 events per 100 person-years) was observed compared to the pre-period (4.4 events per 100 person-years; RR = 0.43, p < 0.001). The monthly time trend of hospitalizations showed an increasing trend leading up to the initiation of perampanel, after which the hospitalizations decreased steadily. Use of perampanel for the treatment of epilepsy was associated with significant reduction in all-cause and epilepsy-related health care resource utilization, including hospitalizations, especially for status epilepticus, and outpatient visits. Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.

Comparison of ICD code-based diagnosis of obesity with measured obesity in children and the implications for health care cost estimates.

PubMed

Kuhle, Stefan; Kirk, Sara F L; Ohinmaa, Arto; Veugelers, Paul J

2011-12-21

Administrative health databases are a valuable research tool to assess health care utilization at the population level. However, their use in obesity research limited due to the lack of data on body weight. A potential workaround is to use the ICD code of obesity to identify obese individuals. The objective of the current study was to investigate the sensitivity and specificity of an ICD code-based diagnosis of obesity from administrative health data relative to the gold standard measured BMI. Linkage of a population-based survey with anthropometric measures in elementary school children in 2003 with longitudinal administrative health data (physician visits and hospital discharges 1992-2006) from the Canadian province of Nova Scotia. Measured obesity was defined based on the CDC cut-offs applied to the measured BMI. An ICD code-based diagnosis obesity was defined as one or more ICD-9 (278) or ICD-10 code (E66-E68) of obesity from a physician visit or a hospital stay. Sensitivity and specificity were calculated and health care cost estimates based on measured obesity and ICD-based obesity were compared. The sensitivity of an ICD code-based obesity diagnosis was 7.4% using ICD codes between 2002 and 2004. Those correctly identified had a higher BMI and had higher health care utilization and costs. An ICD diagnosis of obesity in Canadian administrative health data grossly underestimates the true prevalence of childhood obesity and overestimates the health care cost differential between obese and non-obese children.

A validated case definition for chronic rhinosinusitis in administrative data: a Canadian perspective.

PubMed

Rudmik, Luke; Xu, Yuan; Kukec, Edward; Liu, Mingfu; Dean, Stafford; Quan, Hude

2016-11-01

Pharmacoepidemiological research using administrative databases has become increasingly popular for chronic rhinosinusitis (CRS); however, without a validated case definition the cohort evaluated may be inaccurate resulting in biased and incorrect outcomes. The objective of this study was to develop and validate a generalizable administrative database case definition for CRS using International Classification of Diseases, 9th edition (ICD-9)-coded claims. A random sample of 100 patients with a guideline-based diagnosis of CRS and 100 control patients were selected and then linked to a Canadian physician claims database from March 31, 2010, to March 31, 2015. The proportion of CRS ICD-9-coded claims (473.x and 471.x) for each of these 200 patients were reviewed and the validity of 7 different ICD-9-based coding algorithms was evaluated. The CRS case definition of ≥2 claims with a CRS ICD-9 code (471.x or 473.x) within 2 years of the reference case provides a balanced validity with a sensitivity of 77% and specificity of 79%. Applying this CRS case definition to the claims database produced a CRS cohort of 51,000 patients with characteristics that were consistent with published demographics and rates of comorbid asthma, allergic rhinitis, and depression. This study has validated several coding algorithms; based on the results a case definition of ≥2 physician claims of CRS (ICD-9 of 471.x or 473.x) within 2 years provides an optimal level of validity. Future studies will need to validate this administrative case definition from different health system perspectives and using larger retrospective chart reviews from multiple providers. © 2016 ARS-AAOA, LLC.

Association Between Obstetric Mode of Delivery and Autism Spectrum Disorder: A Population-Based Sibling Design Study.

PubMed

Curran, Eileen A; Dalman, Christina; Kearney, Patricia M; Kenny, Louise C; Cryan, John F; Dinan, Timothy G; Khashan, Ali S

2015-09-01

Because the rates of cesarean section (CS) are increasing worldwide, it is becoming increasingly important to understand the long-term effects that mode of delivery may have on child development. To investigate the association between obstetric mode of delivery and autism spectrum disorder (ASD). Perinatal factors and ASD diagnoses based on the International Classification of Diseases, Ninth Revision (ICD-9),and the International Statistical Classification of Diseases, 10th Revision (ICD-10),were identified from the Swedish Medical Birth Register and the Swedish National Patient Register. We conducted stratified Cox proportional hazards regression analysis to examine the effect of mode of delivery on ASD. We then used conditional logistic regression to perform a sibling design study, which consisted of sibling pairs discordant on ASD status. Analyses were adjusted for year of birth (ie, partially adjusted) and then fully adjusted for various perinatal and sociodemographic factors. The population-based cohort study consisted of all singleton live births in Sweden from January 1, 1982, through December 31, 2010. Children were followed up until first diagnosis of ASD, death, migration, or December 31, 2011 (end of study period), whichever came first. The full cohort consisted of 2,697,315 children and 28,290 cases of ASD. Sibling control analysis consisted of 13,411 sibling pairs. Obstetric mode of delivery defined as unassisted vaginal delivery (VD), assisted VD, elective CS, and emergency CS (defined by before or after onset of labor). The ASD status as defined using codes from the ICD-9 (code 299) and ICD-10 (code F84). In adjusted Cox proportional hazards regression analysis, elective CS (hazard ratio, 1.21; 95% CI, 1.15-1.27) and emergency CS (hazard ratio, 1.15; 95% CI, 1.10-1.20) were associated with ASD when compared with unassisted VD. In the sibling control analysis, elective CS was not associated with ASD in partially (odds ratio [OR], 0.97; 95% CI, 0.85-1.11) or fully adjusted (OR, 0.89; 95% CI, 0.76-1.04) models. Emergency CS was significantly associated with ASD in partially adjusted analysis (OR, 1.20; 95% CI, 1.06-1.36), but this effect disappeared in the fully adjusted model (OR, 0.97; 95% CI, 0.85-1.11). This study confirms previous findings that children born by CS are approximately 20% more likely to be diagnosed as having ASD. However, the association did not persist when using sibling controls, implying that this association is due to familial confounding by genetic and/or environmental factors.

Gender, Racial, and Health Insurance Differences in the Trend of Implantable Cardioverter-Defibrillator (ICD) Utilization: A United States Experience Over the Last Decade.

PubMed

Patel, Nileshkumar J; Edla, Sushruth; Deshmukh, Abhishek; Nalluri, Nikhil; Patel, Nilay; Agnihotri, Kanishk; Patel, Achint; Savani, Chirag; Patel, Nish; Bhimani, Ronak; Thakkar, Badal; Arora, Shilpkumar; Asti, Deepak; Badheka, Apurva O; Parikh, Valay; Mitrani, Raul D; Noseworthy, Peter; Paydak, Hakan; Viles-Gonzalez, Juan; Friedman, Paul A; Kowalski, Marcin

2016-02-01

Prior studies have highlighted disparities in cardiac lifesaving procedure utilization, particularly among women and in minorities. Although there has been a significant increase in implantable cardioverter-defibrillator (ICD) insertion, socioeconomic disparities still exist in the trend of ICD utilization. With the use of the Nationwide Inpatient Sample from 2003 through 2011, we identified subjects with ICD insertion (procedure code 37.94) and cardiac resynchronization defibrillator (procedure code 00.50, 00.51) as codified by the International Classification of Diseases, Ninth Revision, Clinical Modification. Overall, 1 020 076 ICDs were implanted in the United States from 2003 to 2011. We observed an initial increase in ICD utilization by 51%, from 95 062 in 2003 to 143 262 in 2006, followed by a more recent decline. The majority of ICDs were implanted in men age ≥65 years. Implantation of ICDs was 2.5× more common in men than in women (402 per million vs 163 per million). Approximately 95% of the ICDs were implanted in insured patients, and 5% were used in the uninsured population. There has been a significant increase in ICD implantation in blacks, from 162 per million in 2003 to 291 per million in 2011. We found a significant difference in the volume of ICD implants between the insured and the uninsured patient populations. Racial disparities have narrowed significantly in comparison with those noted in earlier studies and are now more reflective of the population demographics at large. On the other hand, significant gender disparities continue to exist. © 2016 Wiley Periodicals, Inc.

Complications leading to surgical revision in implantable cardioverter defibrillator patients: comparison of patients with single-chamber, dual-chamber, and biventricular devices.

PubMed

Duray, Gabor Z; Schmitt, Joern; Cicek-Hartvig, Sule; Hohnloser, Stefan H; Israel, Carsten W

2009-03-01

Implantable cardioverter defibrillator (ICD) technology has become more complex, particularly with respect to biventricular resynchronization devices. The incidence of hardware-related complications in single (SC)-, dual (DC)-, and triple (BiV)-chamber devices requiring surgical revision has not been investigated systematically. We analysed data from consecutive ICD recipients implanted between January 2000 and December 2007 with respect to the need of surgical re-intervention for device- or lead-related complications. Generator exchanges due to normal battery depletion were not considered. From 816 patients (81% male, 69% ischaemic cardiomyopathy, 48% secondary prevention ICDs) followed for 31 +/- 24 months (2118 cumulative patient-years), 98 patients underwent 110 revisions (5.2% per patient-year). Complications included lead-related revision procedures in 81 cases and generator-related problems in 29 cases. The annual incidence of surgical revision due to complications was 11.8% in BiV compared with 4.9% in SC and 4.1% in DC patients (P = 0.002). This higher revision rate was mainly caused by lead-related complications. Implantation of a BiV system was an independent risk factor of the need for surgical revision (relative risk 2.37, 95% confidence interval 1.38-4.04). Even with long-lasting operator experience, complications requiring surgical revision remain a clinically important problem of ICD therapy. The incidence of complications is significantly higher in BiV resynchronization devices than in SC and DC systems.

Understanding Toxoplasmosis in the United States Through "Large Data" Analyses.

PubMed

Lykins, Joseph; Wang, Kanix; Wheeler, Kelsey; Clouser, Fatima; Dixon, Ashtyn; El Bissati, Kamal; Zhou, Ying; Lyttle, Christopher; Rzhetsky, Andrey; McLeod, Rima

2016-08-15

Toxoplasma gondii infection causes substantial morbidity and mortality in the United States, and infects approximately one-third of persons globally. Clinical manifestations vary. Seropositivity is associated with neurologic diseases and malignancies. There are few objective data concerning US incidence and distribution of toxoplasmosis. Truven Health MarketScan Database and International Classification of Diseases, Ninth Revision (ICD-9) codes, including treatment specific to toxoplasmosis, identified patients with this disease. Spatiotemporal distribution and patterns of disease manifestation were analyzed. Comorbidities between patients and matched controls were compared. Between 2003 and 2012, 9260 patients had ICD-9 codes for toxoplasmosis. This database of patients with ICD-9 codes includes 15% of those in the United States, excluding patients with no or public insurance. Thus, assuming that demographics do not change incidence, the calculated total is 61 700 or 6856 patients per year. Disease was more prevalent in the South. Mean age at diagnosis was 37.5 ± 15.5 years; 2.4% were children aged 0-2 years, likely congenitally infected. Forty-one percent were male, and 73% of women were of reproductive age. Of identified patients, 38% had eye disease and 12% presented with other serious manifestations, including central nervous system and visceral organ damage. Toxoplasmosis was statistically associated with substantial comorbidities, including human immunodeficiency virus, autoimmune diseases, and neurologic diseases. Toxoplasmosis causes morbidity and mortality in the United States. Our analysis of private insurance records missed certain at-risk populations and revealed fewer cases of retinal disease than previously estimated, suggesting undercoding, underreporting, undertreating, or differing demographics of those with eye disease. Mandatory reporting of infection to health departments and gestational screening could improve care and facilitate detection of epidemics and, thereby, public health interventions. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.

The proportion of uncoded diagnoses in computerized health insurance claims in Japan in May 2010 according to ICD-10 disease categories.

PubMed

Tanihara, Shinichi

2014-01-01

Uncoded diagnoses in computerized health insurance claims are excluded from statistical summaries of health-related risks and other factors. The effects of these uncoded diagnoses, coded according to ICD-10 disease categories, have not been investigated to date in Japan. I obtained all computerized health insurance claims (outpatient medical care, inpatient medical care, and diagnosis procedure-combination per-diem payment system [DPC/PDPS] claims) submitted to the National Health Insurance Organization of Kumamoto Prefecture in May 2010. These were classified according to the disease categories of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). I used accompanying text documentation related to the uncoded diagnoses to classify these diagnoses. Using these classifications, I calculated the proportion of uncoded diagnoses by ICD-10 category. The number of analyzed diagnoses was 3,804,246, with uncoded diagnoses accounting for 9.6% of the total. The proportion of uncoded diagnoses in claims for outpatient medical care, inpatient medical care, and DPC/PDPS were 9.3%, 10.9%, and 14.2%, respectively. Among the diagnoses, Congenital malformations, deformations, and chromosomal abnormalities had the highest proportion of uncoded diagnoses (19.3%), and Diseases of the respiratory system had the lowest proportion of uncoded diagnoses (4.7%). The proportion of uncoded diagnoses differed by the type of health insurance claim and disease category. These findings indicate that Japanese health statistics computed using computerized health insurance claims might be biased by the exclusion of uncoded diagnoses.

Using clinician text notes in electronic medical record data to validate transgender-related diagnosis codes.

PubMed

Blosnich, John R; Cashy, John; Gordon, Adam J; Shipherd, Jillian C; Kauth, Michael R; Brown, George R; Fine, Michael J

2018-04-04

Transgender individuals are vulnerable to negative health risks and outcomes, but research remains limited because data sources, such as electronic medical records (EMRs), lack standardized collection of gender identity information. Most EMR do not include the gold standard of self-identified gender identity, but International Classification of Diseases (ICDs) includes diagnostic codes indicating transgender-related clinical services. However, it is unclear if these codes can indicate transgender status. The objective of this study was to determine the extent to which patients' clinician notes in EMR contained transgender-related terms that could corroborate ICD-coded transgender identity. Data are from the US Department of Veterans Affairs Corporate Data Warehouse. Transgender patients were defined by the presence of ICD9 and ICD10 codes associated with transgender-related clinical services, and a 3:1 comparison group of nontransgender patients was drawn. Patients' clinician text notes were extracted and searched for transgender-related words and phrases. Among 7560 patients defined as transgender based on ICD codes, the search algorithm identified 6753 (89.3%) with transgender-related terms. Among 22 072 patients defined as nontransgender without ICD codes, 246 (1.1%) had transgender-related terms; after review, 11 patients were identified as transgender, suggesting a 0.05% false negative rate. Using ICD-defined transgender status can facilitate health services research when self-identified gender identity data are not available in EMR.

Automatic coding and selection of causes of death: an adaptation of Iris software for using in Brazil.

PubMed

Martins, Renata Cristófani; Buchalla, Cassia Maria

2015-01-01

To prepare a dictionary in Portuguese for using in Iris and to evaluate its completeness for coding causes of death. Iniatially, a dictionary with all illness and injuries was created based on the International Classification of Diseases - tenth revision (ICD-10) codes. This dictionary was based on two sources: the electronic file of ICD-10 volume 1 and the data from Thesaurus of the International Classification of Primary Care (ICPC-2). Then, a death certificate sample from the Program of Improvement of Mortality Information in São Paulo (PRO-AIM) was coded manually and by Iris version V4.0.34, and the causes of death were compared. Whenever Iris was not able to code the causes of death, adjustments were made in the dictionary. Iris was able to code all causes of death in 94.4% death certificates, but only 50.6% were directly coded, without adjustments. Among death certificates that the software was unable to fully code, 89.2% had a diagnosis of external causes (chapter XX of ICD-10). This group of causes of death showed less agreement when comparing the coding by Iris to the manual one. The software performed well, but it needs adjustments and improvement in its dictionary. In the upcoming versions of the software, its developers are trying to solve the external causes of death problem.

Validity of ICD-9-CM codes for breast, lung and colorectal cancers in three Italian administrative healthcare databases: a diagnostic accuracy study protocol.

PubMed

Abraha, Iosief; Serraino, Diego; Giovannini, Gianni; Stracci, Fabrizio; Casucci, Paola; Alessandrini, Giuliana; Bidoli, Ettore; Chiari, Rita; Cirocchi, Roberto; De Giorgi, Marcello; Franchini, David; Vitale, Maria Francesca; Fusco, Mario; Montedori, Alessandro

2016-03-25

Administrative healthcare databases are useful tools to study healthcare outcomes and to monitor the health status of a population. Patients with cancer can be identified through disease-specific codes, prescriptions and physician claims, but prior validation is required to achieve an accurate case definition. The objective of this protocol is to assess the accuracy of International Classification of Diseases Ninth Revision-Clinical Modification (ICD-9-CM) codes for breast, lung and colorectal cancers in identifying patients diagnosed with the relative disease in three Italian administrative databases. Data from the administrative databases of Umbria Region (910,000 residents), Local Health Unit 3 of Napoli (1,170,000 residents) and Friuli--Venezia Giulia Region (1,227,000 residents) will be considered. In each administrative database, patients with the first occurrence of diagnosis of breast, lung or colorectal cancer between 2012 and 2014 will be identified using the following groups of ICD-9-CM codes in primary position: (1) 233.0 and (2) 174.x for breast cancer; (3) 162.x for lung cancer; (4) 153.x for colon cancer and (5) 154.0-154.1 and 154.8 for rectal cancer. Only incident cases will be considered, that is, excluding cases that have the same diagnosis in the 5 years (2007-2011) before the period of interest. A random sample of cases and non-cases will be selected from each administrative database and the corresponding medical charts will be assessed for validation by pairs of trained, independent reviewers. Case ascertainment within the medical charts will be based on (1) the presence of a primary nodular lesion in the breast, lung or colon-rectum, documented with imaging or endoscopy and (2) a cytological or histological documentation of cancer from a primary or metastatic site. Sensitivity and specificity with 95% CIs will be calculated. Study results will be disseminated widely through peer-reviewed publications and presentations at national and international conferences. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Design, development and first validation of a transcoding system from ICD-9-CM to ICD-10 in the IT.DRG Italian project.

PubMed

Della Mea, Vincenzo; Vuattolo, Omar; Frattura, Lucilla; Munari, Flavia; Verdini, Eleonora; Zanier, Loris; Arcangeli, Laura; Carle, Flavia

2015-01-01

In Italy, ICD-9-CM is currently used for coding health conditions at hospital discharge, but ICD-10 is being introduced thanks to the IT-DRG Project. In this project, one needed component is a set of transcoding rules and associated tools for easing coders work in the transition. The present paper illustrates design and development of those transcoding rules, and their preliminary testing on a subset of Italian hospital discharge data.

Visual Dysfunction Following Blast-Related Traumatic Brain Injury from the Battlefield

DTIC Science & Technology

2010-10-27

sequelae follow- ing a TBI [12, 13]. The occurrence of TBI-related ocular and visual disorders is varied, depending on the diagnostic criteria...measure, ocular/visual disor- der, was indicated by the ICD-9-CM diagnostic codes for ‘disorders of the eye and adnexa’ (360.0– 379.9) obtained from...II. Number and percentage of US service members in each ocular/visual disorder diagnostic category by TBI status. ICD-9-CM code and categorya TBI (n

Prevalence and recognition of obesity and its associated comorbidities: cross-sectional analysis of electronic health record data from a large US integrated health system.

PubMed

Pantalone, Kevin M; Hobbs, Todd M; Chagin, Kevin M; Kong, Sheldon X; Wells, Brian J; Kattan, Michael W; Bouchard, Jonathan; Sakurada, Brian; Milinovich, Alex; Weng, Wayne; Bauman, Janine; Misra-Hebert, Anita D; Zimmerman, Robert S; Burguera, Bartolome

2017-11-16

To determine the prevalence of obesity and its related comorbidities among patients being actively managed at a US academic medical centre, and to examine the frequency of a formal diagnosis of obesity, via International Classification of Diseases, Ninth Revision (ICD-9) documentation among patients with body mass index (BMI) ≥30 kg/m 2 . The electronic health record system at Cleveland Clinic was used to create a cross-sectional summary of actively managed patients meeting minimum primary care physician visit frequency requirements. Eligible patients were stratified by BMI categories, based on most recent weight and median of all recorded heights obtained on or before the index date of 1July 2015. Relationships between patient characteristics and BMI categories were tested. A large US integrated health system. A total of 324 199 active patients with a recorded BMI were identified. There were 121 287 (37.4%) patients found to be overweight (BMI ≥25 and <29.9), 75 199 (23.2%) had BMI 30-34.9, 34 152 (10.5%) had BMI 35-39.9 and 25 137 (7.8%) had BMI ≥40. There was a higher prevalence of type 2 diabetes, pre-diabetes, hypertension and cardiovascular disease (P value<0.0001) within higher BMI compared with lower BMI categories. In patients with a BMI >30 (n=134 488), only 48% (64 056) had documentation of an obesity ICD-9 code. In those patients with a BMI >40, only 75% had an obesity ICD-9 code. This cross-sectional summary from a large US integrated health system found that three out of every four patients had overweight or obesity based on BMI. Patients within higher BMI categories had a higher prevalence of comorbidities. Less than half of patients who were identified as having obesity according to BMI received a formal diagnosis via ICD-9 documentation. The disease of obesity is very prevalent yet underdiagnosed in our clinics. The under diagnosing of obesity may serve as an important barrier to treatment initiation. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Disability Evaluation System Analysis and Research Annual Report 2015

DTIC Science & Technology

2016-03-11

that of the military population as a whole; exceeding weight and body fat standards (i.e. overweight or obesity ) was the most common condition listed...prevalent conditions in the general military applicant population [8].  The most common conditions noted at the MEPS, were: overweight, obesity , and...ICD-9 Diagnosis Code n % of Cond 1 % of App 2 ICD-9 Diagnosis Code n % of Cond 1 % of App 2 Overweight, obesity and other

Musculoskeletal disorder costs and medical claim filing in the US retail trade sector.

PubMed

Bhattacharya, Anasua; Leigh, J Paul

2011-01-01

The average costs of Musculoskeletal Disorder (MSD) and odds ratios for filing medical claims related to MSD were examined. The medical claims were identified by ICD 9 codes for four US Census regions within retail trade. Large private firms' medical claims data from Thomson Reuters Inc. MarketScan databases for the years 2003 through 2006 were used. Average costs were highest for claims related to lumbar region (ICD 9 Code: 724.02) and number of claims were largest for low back syndrome (ICD 9 Code: 724.2). Whereas the odds of filing an MSD claim did not vary greatly over time, average costs declined over time. The odds of filing claims rose with age and were higher for females and southerners than men and non-southerners. Total estimated national medical costs for MSDs within retail trade were $389 million (2007 USD).

Use of Systematic Methods to Improve Disease Identification in Administrative Data: The Case of Severe Sepsis.

PubMed

Shahraz, Saeid; Lagu, Tara; Ritter, Grant A; Liu, Xiadong; Tompkins, Christopher

2017-03-01

Selection of International Classification of Diseases (ICD)-based coded information for complex conditions such as severe sepsis is a subjective process and the results are sensitive to the codes selected. We use an innovative data exploration method to guide ICD-based case selection for severe sepsis. Using the Nationwide Inpatient Sample, we applied Latent Class Analysis (LCA) to determine if medical coders follow any uniform and sensible coding for observations with severe sepsis. We examined whether ICD-9 codes specific to sepsis (038.xx for septicemia, a subset of 995.9 codes representing Systemic Inflammatory Response syndrome, and 785.52 for septic shock) could all be members of the same latent class. Hospitalizations coded with sepsis-specific codes could be assigned to a latent class of their own. This class constituted 22.8% of all potential sepsis observations. The probability of an observation with any sepsis-specific codes being assigned to the residual class was near 0. The chance of an observation in the residual class having a sepsis-specific code as the principal diagnosis was close to 0. Validity of sepsis class assignment is supported by empirical results, which indicated that in-hospital deaths in the sepsis-specific class were around 4 times as likely as that in the residual class. The conventional methods of defining severe sepsis cases in observational data substantially misclassify sepsis cases. We suggest a methodology that helps reliable selection of ICD codes for conditions that require complex coding.

Development and validation of a case definition for epilepsy for use with administrative health data.

PubMed

Reid, Aylin Y; St Germaine-Smith, Christine; Liu, Mingfu; Sadiq, Shahnaz; Quan, Hude; Wiebe, Samuel; Faris, Peter; Dean, Stafford; Jetté, Nathalie

2012-12-01

The objective of this study was to develop and validate coding algorithms for epilepsy using ICD-coded inpatient claims, physician claims, and emergency room (ER) visits. 720/2049 charts from 2003 and 1533/3252 charts from 2006 were randomly selected for review from 13 neurologists' practices as the "gold standard" for diagnosis. Epilepsy status in each chart was determined by 2 trained physicians. The optimal algorithm to identify epilepsy cases was developed by linking the reviewed charts with three administrative databases (ICD 9 and 10 data from 2000 to 2008) including hospital discharges, ER visits and physician claims in a Canadian health region. Accepting chart review data as the gold standard, we calculated sensitivity, specificity, positive, and negative predictive value for each ICD-9 and ICD-10 administrative data algorithm (case definitions). Of 18 algorithms assessed, the most accurate algorithm to identify epilepsy cases was "2 physician claims or 1 hospitalization in 2 years coded" (ICD-9 345 or G40/G41) and the most sensitive algorithm was "1 physician clam or 1 hospitalization or 1 ER visit in 2 years." Accurate and sensitive case definitions are available for research requiring the identification of epilepsy cases in administrative health data. Copyright © 2012 Elsevier B.V. All rights reserved.

77 FR 68891 - Medicare Program; Revisions to Payment Policies Under the Physician Fee Schedule, DME Face-to...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-16

... Area ICD International Classification of Diseases IMRT Intensity Modulated Radiation Therapy IOM... Stereotactic body radiation therapy SGR Sustainable growth rate TC Technical component TIN Tax identification... Clinical Lab Fee Schedule, which is unaffected by the misvalued code initiative. Radiation therapy centers...

Projected impact of the ICD-10-CM/PCS conversion on longitudinal data and the Joint Commission Core Measures.

PubMed

Fenton, Susan H; Benigni, Mary Sue

2014-01-01

The transition from ICD-9-CM to ICD-10-CM/PCS is expected to result in longitudinal data discontinuities, as occurred with cause-of-death in 1999. The General Equivalence Maps (GEMs), while useful for suggesting potential maps do not provide guidance regarding the frequency of any matches. Longitudinal data comparisons can only be reliable if they use comparability ratios or factors which have been calculated using records coded in both classification systems. This study utilized 3,969 de-identified dually coded records to examine raw comparability ratios, as well as the comparability ratios between the Joint Commission Core Measures. The raw comparability factor results range from 16.216 for Nicotine dependence, unspecified, uncomplicated to 118.009 for Chronic obstructive pulmonary disease, unspecified. The Joint Commission Core Measure comparability factor results range from 27.15 for Acute Respiratory Failure to 130.16 for Acute Myocardial Infarction. These results indicate significant differences in comparability between ICD-9-CM and ICD-10-CM code assignment, including when the codes are used for external reporting such as the Joint Commission Core Measures. To prevent errors in decision-making and reporting, all stakeholders relying on longitudinal data for measure reporting and other purposes should investigate the impact of the conversion on their data.

Development and validation of a structured query language implementation of the Elixhauser comorbidity index.

PubMed

Epstein, Richard H; Dexter, Franklin

2017-07-01

Comorbidity adjustment is often performed during outcomes and health care resource utilization research. Our goal was to develop an efficient algorithm in structured query language (SQL) to determine the Elixhauser comorbidity index. We wrote an SQL algorithm to calculate the Elixhauser comorbidities from Diagnosis Related Group and International Classification of Diseases (ICD) codes. Validation was by comparison to expected comorbidities from combinations of these codes and to the 2013 Nationwide Readmissions Database (NRD). The SQL algorithm matched perfectly with expected comorbidities for all combinations of ICD-9 or ICD-10, and Diagnosis Related Groups. Of 13 585 859 evaluable NRD records, the algorithm matched 100% of the listed comorbidities. Processing time was ∼0.05 ms/record. The SQL Elixhauser code was efficient and computationally identical to the SAS algorithm used for the NRD. This algorithm may be useful where preprocessing of large datasets in a relational database environment and comorbidity determination is desired before statistical analysis. A validated SQL procedure to calculate Elixhauser comorbidities and the van Walraven index from ICD-9 or ICD-10 discharge diagnosis codes has been published. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Exploration of ICD-9-CM Coding of Chronic Disease within the Elixhauser Comorbidity Measure in Patients with Chronic Heart Failure

PubMed Central

Garvin, Jennifer Hornung; Redd, Andrew; Bolton, Dan; Graham, Pauline; Roche, Dominic; Groeneveld, Peter; Leecaster, Molly; Shen, Shuying; Weiner, Mark G.

2013-01-01

Introduction International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes capture comorbidities that can be used to risk adjust nonrandom patient groups. We explored the accuracy of capturing comorbidities associated with one risk adjustment method, the Elixhauser Comorbidity Measure (ECM), in patients with chronic heart failure (CHF) at one Veterans Affairs (VA) medical center. We explored potential reasons for the differences found between the original codes assigned and conditions found through retrospective review. Methods This descriptive, retrospective study used a cohort of patients discharged with a principal diagnosis coded as CHF from one VA medical center in 2003. One admission per patient was used in the study; with multiple admissions, only the first admission was analyzed. We compared the assignment of original codes assigned to conditions found in a retrospective, manual review of the medical record conducted by an investigator with coding expertise as well as by physicians. Members of the team experienced with assigning ICD-9-CM codes and VA coding processes developed themes related to systemic reasons why chronic conditions were not coded in VA records using applied thematic techniques. Results In the 181-patient cohort, 388 comorbid conditions were identified; 305 of these were chronic conditions, originally coded at the time of discharge with an average of 1.7 comorbidities related to the ECM per patient. The review by an investigator with coding expertise revealed a total of 937 comorbidities resulting in 618 chronic comorbid conditions with an average of 3.4 per patient; physician review found 872 total comorbidities with 562 chronic conditions (average 3.1 per patient). The agreement between the original and the retrospective coding review was 88 percent. The kappa statistic for the original and the retrospective coding review was 0.375 with a 95 percent confidence interval (CI) of 0.352 to 0.398. The kappa statistic for the retrospective coding review and physician review was 0.849 (CI, 0.823–0.875). The kappa statistic for the original coding and the physician review was 0.340 (CI, 0.316–0.364). Several systemic factors were identified, including familiarity with inpatient VA and non-VA guidelines, the quality of documentation, and operational requirements to complete the coding process within short time frames and to identify the reasons for movement within a given facility. Conclusion Comorbidities within the ECM representing chronic conditions were significantly underrepresented in the original code assignment. Contributing factors potentially include prioritization of codes related to acute conditions over chronic conditions; coders’ professional training, educational level, and experience; and the limited number of codes allowed in initial coding software. This study highlights the need to evaluate systemic causes of underrepresentation of chronic conditions to improve the accuracy of risk adjustment used for health services research, resource allocation, and performance measurement. PMID:24159270

Implementation and impact of ICD-10 (Part II).

PubMed

Rahmathulla, Gazanfar; Deen, H Gordon; Dokken, Judith A; Pirris, Stephen M; Pichelmann, Mark A; Nottmeier, Eric W; Reimer, Ronald; Wharen, Robert E

2014-01-01

The transition from the International Classification of Disease-9(th) clinical modification to the new ICD-10 was all set to occur on 1 October 2015. The American Medical Association has previously been successful in delaying the transition by over 10 years and has been able to further postpone its introduction to 2015. The new system will overcome many of the limitations present in the older version, thus paving the way to more accurate capture of clinical information. The benefits of the new ICD-10 system include improved quality of care, potential cost savings, reduction of unpaid claims, and improved tracking of healthcare data. The areas where challenges will be evident include planning and implementation, the cost to transition, a shortage of qualified coders, training and education of the healthcare workforce, and a loss of productivity when this occurs. The impacts include substantial costs to the healthcare system, but the projected long-term savings and benefits will be significant. Improved fraud detection, accurate data entry, ability to analyze cost benefits with procedures, and enhanced quality outcome measures are the most significant beneficial factors with this change. The present Current Procedural Terminology and Healthcare Common Procedure Coding System code sets will be used for reporting ambulatory procedures in the same manner as they have been. ICD-10-PCS will replace ICD-9 procedure codes for inpatient hospital services. The ICD-10-CM will replace the clinical code sets. Our article will focus on the challenges to execution of an ICD change and strategies to minimize risk while transitioning to the new system. With the implementation deadline gradually approaching, spine surgery practices that include multidisciplinary health specialists have to anticipate and prepare for the ICD change in order to mitigate risk. Education and communication is the key to this process in spine practices.

Time to Remission for Depression with Collaborative Care Management (CCM) in Primary Care.

PubMed

Garrison, Gregory M; Angstman, Kurt B; O'Connor, Stephen S; Williams, Mark D; Lineberry, Timothy W

2016-01-01

Collaborative care management (CCM) has been shown to have superior outcomes to usual care (UC) for depressed patients with a fixed end point. This study was a survival analysis over time comparing CCM with UC using remission (9-item Patient Health Questionnaire [PHQ-9] score <5) and persistent depressive symptoms (PDSs; PHQ-9 score ≥10) as end points. A retrospective cohort study of 7340 patients with depression cared for at 4 outpatient primary care clinics was conducted from March 2008 through June 2013. All adult patients diagnosed with depression (International Classification of Diseases, 9th Revision [ICD-9], codes 296.2-3) or dysthymia (ICD-9 code 300.4) with an initial PHQ-9 score ≥10 were included. CCM was implemented at all clinics between 2008 and 2010. Kaplan-Meyer survival curves for time to remission and PDSs were plotted. A Cox proportional hazards model was used to adjust for expected differences between patients choosing CCM versus UC. Median time to remission was 86 days (95% confidence interval [CI], 81-91 days) for the CCM group versus 614 days (95% CI, 565-692 days) for the UC group. Likewise, median duration of PDSs was 31 days (95% CI, 30-33 days) for the CCM group versus 154 days (95% CI, 138-182 days) for the UC group. In the Cox proportional hazards model, which controlled for covariates such as age, sex, race, diagnosis, and initial PHQ-9 score, CCM was associated with faster remission (hazard ratio of the CCM group [HRCCM], 2.48; 95% CI, 2.31-2.65). This study demonstrated that patients enrolled in CCM have a faster rate of remission and a shorter duration of PDSs than patients choosing UC. © Copyright 2016 by the American Board of Family Medicine.

Medical Surveillance Monthly Report (MSMR). Volume 22, Number 12, December 2015

DTIC Science & Technology

2015-12-01

veterans in whom chronic pain may be comorbid with, and exacerbated by, post-traumatic stress disorder (PTSD), depression, or traumatic brain...unspecifi ed 51 780.52 Insomnia , unspecifi ed 46 723.1 Cervicalgia Other chronic pain Chronic pain syndrome No. ICD-9code Description No. ICD-9 code...without myelopathy 982 719.45 Pain in joint involving pelvic region and thigh 205 309.81 Post-traumatic stress disorder 961 722.52 Degeneration of

Association of Postoperative Readmissions With Surgical Quality Using a Delphi Consensus Process to Identify Relevant Diagnosis Codes.

PubMed

Mull, Hillary J; Graham, Laura A; Morris, Melanie S; Rosen, Amy K; Richman, Joshua S; Whittle, Jeffery; Burns, Edith; Wagner, Todd H; Copeland, Laurel A; Wahl, Tyler; Jones, Caroline; Hollis, Robert H; Itani, Kamal M F; Hawn, Mary T

2018-04-18

Postoperative readmission data are used to measure hospital performance, yet the extent to which these readmissions reflect surgical quality is unknown. To establish expert consensus on whether reasons for postoperative readmission are associated with the quality of surgery in the index admission. In a modified Delphi process, a panel of 14 experts in medical and surgical readmissions comprising physicians and nonphysicians from Veterans Affairs (VA) and private-sector institutions reviewed 30-day postoperative readmissions from fiscal years 2008 through 2014 associated with inpatient surgical procedures performed at a VA medical center between October 1, 2007, and September 30, 2014. The consensus process was conducted from January through May 2017. Reasons for readmission were grouped into categories based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Panelists were given the proportion of readmissions coded by each reason and median (interquartile range) days to readmission. They answered the question, "Does the readmission reason reflect possible surgical quality of care problems in the index admission?" on a scale of 1 (never related) to 5 (directly related) in 3 rounds of consensus building. The consensus process was completed in May 2017 and data were analyzed in June 2017. Consensus on proportion of ICD-9-coded readmission reasons that reflected quality of surgical procedure. In 3 Delphi rounds, the 14 panelists achieved consensus on 50 reasons for readmission; 12 panelists also completed group telephone calls between rounds 1 and 2. Readmissions with diagnoses of infection, sepsis, pneumonia, hemorrhage/hematoma, anemia, ostomy complications, acute renal failure, fluid/electrolyte disorders, or venous thromboembolism were considered associated with surgical quality and accounted for 25 521 of 39 664 readmissions (64% of readmissions; 7.5% of 340 858 index surgical procedures). The proportion of readmissions considered to be not associated with surgical quality varied by procedure, ranging from to 21% (613 of 2331) of readmissions after lower-extremity amputations to 47% (745 of 1598) of readmissions after cholecystectomy. One-third of postoperative readmissions are unlikely to reflect problems with surgical quality. Future studies should test whether restricting readmissions to those with specific ICD-9 codes might yield a more useful quality measure.

Validity of the International Classification of Diseases, Tenth Revision code for acute kidney injury in elderly patients at presentation to the emergency department and at hospital admission

PubMed Central

Hwang, Y Joseph; Shariff, Salimah Z; Gandhi, Sonja; Wald, Ron; Clark, Edward; Fleet, Jamie L; Garg, Amit X

2012-01-01

Objective To evaluate the validity of the International Classification of Diseases, Tenth Revision (ICD-10) code N17x for acute kidney injury (AKI) in elderly patients in two settings: at presentation to the emergency department and at hospital admission. Design A population-based retrospective validation study. Setting Southwestern Ontario, Canada, from 2003 to 2010. Participants Elderly patients with serum creatinine measurements at presentation to the emergency department (n=36 049) or hospital admission (n=38 566). The baseline serum creatinine measurement was a median of 102 and 39 days prior to presentation to the emergency department and hospital admission, respectively. Main outcome measures Sensitivity, specificity and positive and negative predictive values of ICD-10 diagnostic coding algorithms for AKI using a reference standard based on changes in serum creatinine from the baseline value. Median changes in serum creatinine of patients who were code positive and code negative for AKI. Results The sensitivity of the best-performing coding algorithm for AKI (defined as a ≥2-fold increase in serum creatinine concentration) was 37.4% (95% CI 32.1% to 43.1%) at presentation to the emergency department and 61.6% (95% CI 57.5% to 65.5%) at hospital admission. The specificity was greater than 95% in both settings. In patients who were code positive for AKI, the median (IQR) increase in serum creatinine from the baseline was 133 (62 to 288) µmol/l at presentation to the emergency department and 98 (43 to 200) µmol/l at hospital admission. In those who were code negative, the increase in serum creatinine was 2 (−8 to 14) and 6 (−4 to 20) µmol/l, respectively. Conclusions The presence or absence of ICD-10 code N17× differentiates two groups of patients with distinct changes in serum creatinine at the time of a hospital encounter. However, the code underestimates the true incidence of AKI due to a limited sensitivity. PMID:23204077

Gender trouble: The World Health Organization, the International Statistical Classification of Diseases and Related Health Problems (ICD)-11 and the trans kids.

PubMed

Winter, Sam

2017-10-01

The World Health Organization (WHO) is revising its diagnostic manual, the International Statistical Classification of Diseases and Related Health Problems (ICD). At the time of writing, and based on recommendations from its ICD Working Group on Sexual Disorders and Sexual Health, WHO is proposing a new ICD chapter titled Conditions Related to Sexual Health, and that the gender incongruence diagnoses (replacements for the gender identity disorder diagnoses used in ICD-10) should be placed in that chapter. WHO is proposing that there should be a Gender incongruence of childhood (GIC) diagnosis for children below the age of puberty. This last proposal has come under fire. Trans community groups, as well as many healthcare professionals and others working for transgender health and wellbeing, have criticised the proposal on the grounds that the pathologisation of gender diversity at such a young age is inappropriate, unnecessary, harmful and inconsistent with WHO's approach in regard to other aspects of development in childhood and youth. Counter proposals have been offered that do not pathologise gender diversity and instead make use of Z codes to frame and document any contacts that young gender diverse children may have with health services. The author draws on his involvement in the ICD revision process, both as a member of the aforementioned WHO Working Group and as one of its critics, to put the case against the GIC proposal, and to recommend an alternative approach for ICD in addressing the needs of gender diverse children.

Comparison of the costs of nonoperative care to minimally invasive surgery for sacroiliac joint disruption and degenerative sacroiliitis in a United States Medicare population: potential economic implications of a new minimally-invasive technology

PubMed Central

Ackerman, Stacey J; Polly, David W; Knight, Tyler; Schneider, Karen; Holt, Tim; Cummings, John

2013-01-01

Introduction The economic burden associated with the treatment of low back pain (LBP) in the United States is significant. LBP caused by sacroiliac (SI) joint disruption/degenerative sacroiliitis is most commonly treated with nonoperative care and/or open SI joint surgery. New and effective minimally invasive surgery (MIS) options may offer potential cost savings to Medicare. Methods An economic model was developed to compare the costs of MIS treatment to nonoperative care for the treatment of SI joint disruption in the hospital inpatient setting in the US Medicare population. Lifetime cost savings (2012 US dollars) were estimated from the published literature and claims data. Costs included treatment, follow-up, diagnostic testing, and retail pharmacy pain medication. Costs of SI joint disruption patients managed with nonoperative care were estimated from the 2005–2010 Medicare 5% Standard Analytic Files using primary International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes 720.2, 724.6, 739.4, 846.9, or 847.3. MIS fusion hospitalization cost was based on Diagnosis Related Group (DRG) payments of $46,700 (with major complications - DRG 459) and $27,800 (without major complications - DRG 460), weighted assuming 3.8% of patients have complications. MIS fusion professional fee was determined from the 2012 Medicare payment for Current Procedural Terminology code 27280, with an 82% fusion success rate and 1.8% revision rate. Outcomes were discounted by 3.0% per annum. Results The extrapolated lifetime cost of treating Medicare patients with MIS fusion was $48,185/patient compared to $51,543/patient for nonoperative care, resulting in a $660 million savings to Medicare (196,452 beneficiaries at $3,358 in savings/patient). Including those with ICD-9-CM code 721.3 (lumbosacral spondylosis) increased lifetime cost estimates (up to 478,764 beneficiaries at $8,692 in savings/patient). Conclusion Treating Medicare beneficiaries with MIS fusion in the hospital inpatient setting could save Medicare $660 million over patients’ lifetimes. PMID:24348055

Periodontitis as a Modifiable Risk Factor for Dementia: A Nationwide Population-Based Cohort Study.

PubMed

Lee, Yao-Tung; Lee, Hsin-Chien; Hu, Chaur-Jongh; Huang, Li-Kai; Chao, Shu-Ping; Lin, Chia-Pei; Su, Emily Chia-Yu; Lee, Yi-Chen; Chen, Chu-Chieh

2017-02-01

To determine whether periodontitis is a modifiable risk factor for dementia. Prospective cohort study. National Health Insurance Research Database in Taiwan. Individuals aged 65 and older with periodontitis (n = 3,028) and an age- and sex-matched control group (n = 3,028). Individuals with periodontitis were compared age- and sex-matched controls with for incidence density and hazard ratio (HR) of new-onset dementia. Periodontitis was defined according to International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes 523.3-5 diagnosed by dentists. To ensure diagnostic validity, only those who had concurrently received antibiotic therapies, periodontal treatment other than scaling, or scaling more than twice per year performed by certified dentists were included. Dementia was defined according to ICD-9-CM codes 290.0-290.4, 294.1, 331.0-331.2. After adjustment for confounding factors, the risk of developing dementia was calculated to be higher for participants with periodontitis (HR = 1.16, 95% confidence interval = 1.01-1.32, P = .03) than for those without. Periodontitis is associated with greater risk of developing dementia. Periodontal infection is treatable, so it might be a modifiable risk factor for dementia. Clinicians must devote greater attention to this potential association in an effort to develop new preventive and therapeutic strategies for dementia. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Assessing the burden of pneumonia using administrative data from Malaysia, Indonesia, and the Philippines.

PubMed

Azmi, Soraya; Aljunid, Syed Mohamed; Maimaiti, Namaitijiang; Ali, Al-Abed; Muhammad Nur, Amrizal; De Rosas-Valera, Madeleine; Encluna, Joyce; Mohamed, Rosminah; Wibowo, Bambang; Komaryani, Kalsum; Roberts, Craig

2016-08-01

To describe the incidence, mortality, cost, and length of stay (LOS) of hospitalized community-acquired pneumonia (CAP) and hospital-acquired pneumonia (HAP) in three Southeast Asian countries: Malaysia, Indonesia, and the Philippines. Using Casemix system data from contributing hospitals, patients with International Classification of Diseases 10(th) revision (ICD-10) codes identifying pneumonia were categorized into CAP or HAP using a logical algorithm. The incidence among hospitalized patients, case fatality rates (CFR), mean LOS, and cost of admission were calculated. The population incidence was calculated based on Malaysian data. For every 100000 discharges, CAP and HAP incidences were 14245 and 5615 cases, respectively, in the Philippines, 4205 and 2187, respectively, in Malaysia, and 988 and 538, respectively, in Indonesia. The impact was greatest in the young and the elderly. The CFR varied from 1.4% to 4.2% for CAP and from 9.1% and 25.5% for HAP. The mean LOS was 6.1-8.6 days for CAP and 6.9-10.2 days for HAP. The cost of hospitalization was between USD 254 and USD 1208 for CAP and between USD 275 and USD 1482 for HAP. The burden of CAP and HAP is high. Results varied between the three countries, likely due to differences in socio-economic conditions, health system differences, and ICD-coding practices. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Prevalence of Thyrotoxicosis, Antithyroid Medication Use, and Complications Among Pregnant Women in the United States

PubMed Central

McNally, Diane L.; Masters, Mary N.; Li, Sue X.; Xu, Yiling; Rivkees, Scott A.

2013-01-01

Background Population-based estimates of the prevalence of thyrotoxicosis (TTX), the frequency of antithyroid drug (ATD) use, and risk of adverse events in pregnant women and their infants are lacking. Therefore, our objective was to obtain epidemiologic estimates of these parameters within a large population-based sample of pregnant women with TTX. Methods A retrospective claims analysis was performed from the MarketScan Commercial Claims and Encounters health insurance database for the period 2005–2009. Women aged 15–44 years, enrolled for at least 2 years, and who had a pregnancy during the study period were included. Diagnosis of TTX was based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes using narrow (TTX-1=ICD 242.0) and broad (TTX-2=ICD 242.0 or 242.9) definitions. ATD use was based on prescriptions filled for propylthiouracil (PTU) or methimazole (MMI). Adverse events in mothers and infants were determined from the ICD-9-CM diagnosis codes recorded on submitted claims. Results The database contained 904,497 eligible women. The average yearly prevalence per 1000 pregnant women was 2.46 for TTX-1 and 5.88 for TTX-2. Thirty-nine percent used ATD at any time during the study period. Compared to women without a TTX diagnosis, there was more than a twofold increase for liver disease among women with TTX (odds ratio [OR]=2.08, p<0.001) and a 13% increased risk for congenital anomalies (OR=1.13, p=0.014), but no association was observed with ATD use. The rates of congenital defects (per 1000 infants) associated with ATD use were 55.6 for MMI, 72.1 for PTU, and 65.8 for untreated women with TTX, compared to 58.8 among women without TTX. Conclusions There was some indication of an elevated risk of liver disease and congenital anomalies in women with TTX, but the risk did not appear to be related to the ATD use. There seems to be a higher pregnancy termination rate for women with TTX on MMI, which likely reflects elective pregnancy terminations. PMID:23194469

Increasing Trend of Fatal Falls in Older Adults in the United States, 1992 to 2005: Coding Practice or Reporting Quality?

PubMed

Kharrazi, Rebekah J; Nash, Denis; Mielenz, Thelma J

2015-09-01

To investigate whether changes in death certificate coding and reporting practices explain part or all of the recent increase in the rate of fatal falls in adults aged 65 and older in the United States. Trends in coding and reporting practices of fatal falls were evaluated under mortality coding schemes for International Classification of Diseases (ICD), Ninth Revision (1992-1998) and Tenth Revision (1999-2005). United States, 1992 to 2005. Individuals aged 65 and older with falls listed as the underlying cause of death (UCD) on their death certificates. The primary outcome was annual fatal falls rates per 100,000 U.S. residents aged 65 and older. Coding practice was assessed through analysis of trends in rates of specific UCD fall ICD e-codes over time. Reporting quality was assessed by examining changes in the location on the death certificate where fall e-codes were reported, in particular, the percentage of fall e-codes recorded in the proper location on the death certificate. Fatal falls rates increased over both time periods: 1992 to 1998 and 1999 to 2005. A single falls e-code was responsible for the increasing trend of fatal falls overall from 1992 to 1998 (E888, other and unspecified fall) and from 1999 to 2005 (W18, other falls on the same level), whereas trends for other falls e-codes remained stable. Reporting quality improved steadily throughout the study period. Better reporting quality, not coding practices, contributed to the increasing rate of fatal falls in older adults in the United States from 1992 to 2005. © 2015, Copyright the Authors Journal compilation © 2015, The American Geriatrics Society.

[Revision of the primary care version of the ICD-10. Mental disorders].

PubMed

Varela-González, O; López-Ibor, J J

2007-01-01

Although the difficulty of applying psychiatric classifications to primary care has been widely criticized, there have been few investigations up to now to define and systematize the real demands in regards to these nosological systems. Recently, the revised version of the Mental and Behavior Disorders Chapter of the ICD 10 has been published. The new tool is the result of an elaboration process mainly developed by a group of 971 primary care physicians coordinated by 55 psychiatrists. The project was organized into three phases: a) evaluation of the current version and collection of proposals for change; b) definition of objectives for an optimized version; and c) writing a proposal of revised text. The result is a text that is more assimilable to a diagnostic and therapeutic guide than a mere coding system, more adapted to the role that the primary care physician can play in each disorder, more up-dated (especially in the treatment section) and more specific in many aspects.

Serious Infection Rates Among Children With Systemic Lupus Erythematosus Enrolled in Medicaid.

PubMed

Hiraki, Linda T; Feldman, Candace H; Marty, Francisco M; Winkelmayer, Wolfgang C; Guan, Hongshu; Costenbader, Karen H

2017-11-01

To investigate the nationwide prevalence and incidence of serious infections among children with systemic lupus erythematosus (SLE) enrolled in Medicaid, the US health insurance program for low-income patients. From Medicaid claims (2000-2006) we identified children ages 5 to <18 years with SLE (≥3 International Classification of Diseases, Ninth Revision [ICD-9] codes of 710.0, each >30 days apart) and lupus nephritis (LN; ≥2 ICD-9 codes for kidney disease on/after SLE codes). From hospital discharge diagnoses, we identified infection subtypes (bacterial, fungal, and viral). We calculated incidence rates (IRs) per 100 person-years, mortality rates, and hazard ratios adjusted for sociodemographic factors, medications, and preventive care. Among 3,500 children with identified SLE, 1,053 serious infections occurred over 10,108 person-years; the IR was 10.42 per 100 person-years (95% confidence interval [95% CI] 9.80-11.07) among all those with SLE and 17.65 per 100 person-years (95% CI 16.29-19.09) among those with LN. Bacterial infections were most common (87%, of which 39% were bacterial pneumonias). In adjusted models, African Americans and American Indians had higher rates of infections compared with white children, and those with comorbidities or receiving corticosteroids had higher infection rates than those without. Males had lower rates of serious infections compared to females. The 30-day postdischarge mortality rate was 4.4%. Overall, hospitalized infections were very common in children with SLE, with bacterial pneumonia being the most common infection. Highest infection risks were among African American and American Indian children, those with LN, comorbidities, and those taking corticosteroids. © 2017, American College of Rheumatology.

[Data coding in the Israeli healthcare system - do choices provide the answers to our system's needs?].

PubMed

Zelingher, Julian; Ash, Nachman

2013-05-01

The IsraeLi healthcare system has undergone major processes for the adoption of health information technologies (HIT), and enjoys high Levels of utilization in hospital and ambulatory care. Coding is an essential infrastructure component of HIT, and ts purpose is to represent data in a simplified and common format, enhancing its manipulation by digital systems. Proper coding of data enables efficient identification, storage, retrieval and communication of data. UtiLization of uniform coding systems by different organizations enables data interoperability between them, facilitating communication and integrating data elements originating in different information systems from various organizations. Current needs in Israel for heaLth data coding include recording and reporting of diagnoses for hospitalized patients, outpatients and visitors of the Emergency Department, coding of procedures and operations, coding of pathology findings, reporting of discharge diagnoses and causes of death, billing codes, organizational data warehouses and national registries. New national projects for cLinicaL data integration, obligatory reporting of quality indicators and new Ministry of Health (MOH) requirements for HIT necessitate a high Level of interoperability that can be achieved only through the adoption of uniform coding. Additional pressures were introduced by the USA decision to stop the maintenance of the ICD-9-CM codes that are also used by Israeli healthcare, and the adoption of ICD-10-C and ICD-10-PCS as the main coding system for billing purpose. The USA has also mandated utilization of SNOMED-CT as the coding terminology for the ELectronic Health Record problem list, and for reporting quality indicators to the CMS. Hence, the Israeli MOH has recently decided that discharge diagnoses will be reported using ICD-10-CM codes, and SNOMED-CT will be used to code the cLinical information in the EHR. We reviewed the characteristics, strengths and weaknesses of these two coding systems. In summary, the adoption of ICD-10-CM is in line with the USA decision to abandon ICD-9-CM, and the Israeli heaLthcare system could benefit from USA heaLthcare efforts in this direction. The Large content of SNOMED-CT and its sophisticated hierarchical data structure will enable advanced cLinicaL decision support and quality improvement applications.

Emergency general surgery: definition and estimated burden of disease.

PubMed

Shafi, Shahid; Aboutanos, Michel B; Agarwal, Suresh; Brown, Carlos V R; Crandall, Marie; Feliciano, David V; Guillamondegui, Oscar; Haider, Adil; Inaba, Kenji; Osler, Turner M; Ross, Steven; Rozycki, Grace S; Tominaga, Gail T

2013-04-01

Acute care surgery encompasses trauma, surgical critical care, and emergency general surgery (EGS). While the first two components are well defined, the scope of EGS practice remains unclear. This article describes the work of the American Association for the Surgery of Trauma to define EGS. A total of 621 unique International Classification of Diseases-9th Rev. (ICD-9) diagnosis codes were identified using billing data (calendar year 2011) from seven large academic medical centers that practice EGS. A modified Delphi methodology was used by the American Association for the Surgery of Trauma Committee on Severity Assessment and Patient Outcomes to review these codes and achieve consensus on the definition of primary EGS diagnosis codes. National Inpatient Sample data from 2009 were used to develop a national estimate of EGS burden of disease. Several unique ICD-9 codes were identified as primary EGS diagnoses. These encompass a wide spectrum of general surgery practice, including upper and lower gastrointestinal tract, hepatobiliary and pancreatic disease, soft tissue infections, and hernias. National Inpatient Sample estimates revealed over 4 million inpatient encounters nationally in 2009 for EGS diseases. This article provides the first list of ICD-9 diagnoses codes that define the scope of EGS based on current clinical practices. These findings have wide implications for EGS workforce training, access to care, and research.

Minimal cosmetic revision required after minimally invasive pectus repair.

PubMed

Murphy, Brittany L; Naik, Nimesh D; Roskos, Penny L; Glasgow, Amy E; Moir, Christopher R; Habermann, Elizabeth B; Klinkner, Denise B

2018-05-09

Despite surgical correction procedures for pectus deformities, remaining cosmetic asymmetry may have significant psychological effects. We sought to evaluate factors associated with plastic surgery (PS) consultation and procedures for these deformities at an academic institution. We reviewed patients aged 0-21 diagnosed with a pectus excavatum or carinatum deformity at our institution between January 2001 and October 2016. Pectus diagnoses were identified by ICD-9/ICD-10 codes and surgical repair by CPT codes; patients receiving PS consultation were identified by clinical note service codes. Student's t tests, Fisher's exact tests, and Chi-squared tests were utilized. 2158 patients were diagnosed with a pectus deformity; 442 (20.4%) underwent surgical correction. 19/442 (4.3%) sought PS consultation, either for pectus excavatum [14/19 (73.7%)], carinatum [4/19 (21.0%)], and both [1/19 (5.3%)], (p = 0.02). Patients seeking PS consultation were more likely to be female (p < 0.01), have scoliosis (p = 0.02), or undergo an open repair (p < 0.01). The need for PS consultation did not correlate with Haller index, p = 0.78. PS consultation associated with pectus deformity repair was rare, occurring in < 5% of patients undergoing repair. Patients who consulted PS more commonly included females, patients with scoliosis, and those undergoing open repair. These patients would likely benefit most from multidisciplinary pre-operative discussions regarding repair of the global deformity.

Comparison of procedure coding systems for level 1 and 2 hospitals in South Africa.

PubMed

Montewa, Lebogang; Hanmer, Lyn; Reagon, Gavin

2013-01-01

The ability of three procedure coding systems to reflect the procedure concepts extracted from patient records from six hospitals was compared, in order to inform decision making about a procedure coding standard for South Africa. A convenience sample of 126 procedure concepts was extracted from patient records at three level 1 hospitals and three level 2 hospitals. Each procedure concept was coded using ICPC-2, ICD-9-CM, and CCSA-2001. The extent to which each code assigned actually reflected the procedure concept was evaluated (between 'no match' and 'complete match'). For the study sample, CCSA-2001 was found to reflect the procedure concepts most completely, followed by ICD-9-CM and then ICPC-2. In practice, decision making about procedure coding standards would depend on multiple factors in addition to coding accuracy.

Utilization Rates of Implantable Cardioverter-Defibrillators for Primary Prevention of Sudden Cardiac Death: A 2012 Calculation for a Midwestern Health Referral Region

PubMed Central

Hoang, Allen; Shen, Changyu; Zheng, James; Taylor, Stanley; Groh, William J; Rosenman, Marc; Buxton, Alfred E.; Chen, Peng-Sheng

2014-01-01

Background Utilization rates (URs) for implantable cardioverter-defibrillators (ICDs) for primary prevention of sudden cardiac death (PPSCD) are lacking in the community. Objective To establish the ICD UR in central Indiana. Methods A query run on two hospitals in a health information exchange database in Indianapolis identified patients between 2011 and 2012 with left ventricular ejection fraction (EF) ≤0.35. ICD-eligibility and utilization were determined from chart review. Results We identified 1,863 patients with at least one low-EF study. Two cohorts were analyzed: 1,672 patients without, and 191 patients with, ICD-9-CM procedure code 37.94 for ICD placement. We manually reviewed a stratified (by hospital) random sample of 300 patients from the no-ICD procedure code cohort and found that 48 (16%) had no ICD but had class I indications for ICD. Eight of 300 (2.7%) actually had ICD implantation for PPSCD. Review of all 191 patients in the ICD procedure code cohort identified 70 with ICD implantation for PPSCD. The ICD UR (ratio between patients with ICD for PPSCD and all with indication) was 38% overall (95% CI 28–49%). URs were 48% for males (95% CI 34–61%), 21% for females (95% CI 16–26%, p=0.0002 vs males), 40% for whites (95% CI 27–53%), and 37% for blacks (95% CI 28–46%, p=0.66 vs whites). Conclusions The ICD UR is 38% among patients meeting Class I indications, suggesting further opportunities to improve guideline compliance. Furthermore, this study illustrates limitations in calculating ICD UR using large electronic repositories without hands-on chart review. PMID:24566233

Automated Assessment of Existing Patient's Revised Cardiac Risk Index Using Algorithmic Software.

PubMed

Hofer, Ira S; Cheng, Drew; Grogan, Tristan; Fujimoto, Yohei; Yamada, Takashige; Beck, Lauren; Cannesson, Maxime; Mahajan, Aman

2018-05-25

Previous work in the field of medical informatics has shown that rules-based algorithms can be created to identify patients with various medical conditions; however, these techniques have not been compared to actual clinician notes nor has the ability to predict complications been tested. We hypothesize that a rules-based algorithm can successfully identify patients with the diseases in the Revised Cardiac Risk Index (RCRI). Patients undergoing surgery at the University of California, Los Angeles Health System between April 1, 2013 and July 1, 2016 and who had at least 2 previous office visits were included. For each disease in the RCRI except renal failure-congestive heart failure, ischemic heart disease, cerebrovascular disease, and diabetes mellitus-diagnosis algorithms were created based on diagnostic and standard clinical treatment criteria. For each disease state, the prevalence of the disease as determined by the algorithm, International Classification of Disease (ICD) code, and anesthesiologist's preoperative note were determined. Additionally, 400 American Society of Anesthesiologists classes III and IV cases were randomly chosen for manual review by an anesthesiologist. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve were determined using the manual review as a gold standard. Last, the ability of the RCRI as calculated by each of the methods to predict in-hospital mortality was determined, and the time necessary to run the algorithms was calculated. A total of 64,151 patients met inclusion criteria for the study. In general, the incidence of definite or likely disease determined by the algorithms was higher than that detected by the anesthesiologist. Additionally, in all disease states, the prevalence of disease was always lowest for the ICD codes, followed by the preoperative note, followed by the algorithms. In the subset of patients for whom the records were manually reviewed, the algorithms were generally the most sensitive and the ICD codes the most specific. When computing the modified RCRI using each of the methods, the modified RCRI from the algorithms predicted in-hospital mortality with an area under the receiver operating characteristic curve of 0.70 (0.67-0.73), which compared to 0.70 (0.67-0.72) for ICD codes and 0.64 (0.61-0.67) for the preoperative note. On average, the algorithms took 12.64 ± 1.20 minutes to run on 1.4 million patients. Rules-based algorithms for disease in the RCRI can be created that perform with a similar discriminative ability as compared to physician notes and ICD codes but with significantly increased economies of scale.

Steps through the revision process of reproductive health sections of ICD-11.

PubMed

Chou, Doris; Tunçalp, Özge; Hotamisligil, Selen; Norman, Jane; Say, Lale; Volkmer, Björn; Pattinson, Bob; Rooney, Cleo; Serour, Gamal; de Mouzon, Jacques; Gardosi, Jason; Thueroff, Joachim; Mark, Morgan; D'Hooghe, Thomas

2012-01-01

In 2007, the WHO initiated an organizational structure for the 11th revision of the International Classification of Diseases (ICD). Effective deployment of ICD-derived tools facilitates the use and collection of health information in a variety of resource settings, promoting quantitatively informed decisions. They also facilitate comparison of disease incidence and outcomes between different countries and different health care systems around the world. The Department of Reproductive Health and Research (RHR) coordinates the revision of chapters 14 (diseases of the genitourinary system), 15 (pregnancy, childbirth, and puerperium), and 16 (conditions originating in the perinatal period). RHR convened a technical advisory group (TAG), the Genito-Urinary Reproductive Medicine (GURM) TAG, for the ICD revision. The TAG's work reflects the collective understanding of sexual and reproductive health and is now available for review within the ICD-11 revision process. Copyright © 2012 S. Karger AG, Basel.

Implementation and impact of ICD-10 (Part II)

PubMed Central

Rahmathulla, Gazanfar; Deen, H. Gordon; Dokken, Judith A.; Pirris, Stephen M.; Pichelmann, Mark A.; Nottmeier, Eric W.; Reimer, Ronald; Wharen, Robert E.

2014-01-01

Background: The transition from the International Classification of Disease-9th clinical modification to the new ICD-10 was all set to occur on 1 October 2015. The American Medical Association has previously been successful in delaying the transition by over 10 years and has been able to further postpone its introduction to 2015. The new system will overcome many of the limitations present in the older version, thus paving the way to more accurate capture of clinical information. Methods: The benefits of the new ICD-10 system include improved quality of care, potential cost savings, reduction of unpaid claims, and improved tracking of healthcare data. The areas where challenges will be evident include planning and implementation, the cost to transition, a shortage of qualified coders, training and education of the healthcare workforce, and a loss of productivity when this occurs. The impacts include substantial costs to the healthcare system, but the projected long-term savings and benefits will be significant. Improved fraud detection, accurate data entry, ability to analyze cost benefits with procedures, and enhanced quality outcome measures are the most significant beneficial factors with this change. Results: The present Current Procedural Terminology and Healthcare Common Procedure Coding System code sets will be used for reporting ambulatory procedures in the same manner as they have been. ICD-10-PCS will replace ICD-9 procedure codes for inpatient hospital services. The ICD-10-CM will replace the clinical code sets. Our article will focus on the challenges to execution of an ICD change and strategies to minimize risk while transitioning to the new system. Conclusion: With the implementation deadline gradually approaching, spine surgery practices that include multidisciplinary health specialists have to anticipate and prepare for the ICD change in order to mitigate risk. Education and communication is the key to this process in spine practices. PMID:25184098

Validation of International Classification of Diseases coding for bone metastases in electronic health records using technology-enabled abstraction.

PubMed

Liede, Alexander; Hernandez, Rohini K; Roth, Maayan; Calkins, Geoffrey; Larrabee, Katherine; Nicacio, Leo

2015-01-01

The accuracy of bone metastases diagnostic coding based on International Classification of Diseases, ninth revision (ICD-9) is unknown for most large databases used for epidemiologic research in the US. Electronic health records (EHR) are the preferred source of data, but often clinically relevant data occur only as unstructured free text. We examined the validity of bone metastases ICD-9 coding in structured EHR and administrative claims relative to the complete (structured and unstructured) patient chart obtained through technology-enabled chart abstraction. Female patients with breast cancer with ≥1 visit after November 2010 were identified from three community oncology practices in the US. We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of bone metastases ICD-9 code 198.5. The technology-enabled abstraction displays portions of the chart to clinically trained abstractors for targeted review, thereby maximizing efficiency. We evaluated effects of misclassification of patients developing skeletal complications or treated with bone-targeting agents (BTAs), and timing of BTA. Among 8,796 patients with breast cancer, 524 had confirmed bone metastases using chart abstraction. Sensitivity was 0.67 (95% confidence interval [CI] =0.63-0.71) based on structured EHR, and specificity was high at 0.98 (95% CI =0.98-0.99) with corresponding PPV of 0.71 (95% CI =0.67-0.75) and NPV of 0.98 (95% CI =0.98-0.98). From claims, sensitivity was 0.78 (95% CI =0.74-0.81), and specificity was 0.98 (95% CI =0.98-0.98) with PPV of 0.72 (95% CI =0.68-0.76) and NPV of 0.99 (95% CI =0.98-0.99). Structured data and claims missed 17% of bone metastases (89 of 524). False negatives were associated with measurable overestimation of the proportion treated with BTA or with a skeletal complication. Median date of diagnosis was delayed in structured data (32 days) and claims (43 days) compared with technology-assisted EHR. Technology-enabled chart abstraction of unstructured EHR greatly improves data quality, minimizing false negatives when identifying patients with bone metastases that may lead to inaccurate conclusions that can affect delivery of care.

Resource utilization and costs of age-related macular degeneration.

PubMed

Halpern, Michael T; Schmier, Jordana K; Covert, David; Venkataraman, Krithika

2006-01-01

Data were analyzed from the 1999-2001 Medicare Beneficiary Encrypted Files for patients with age-related macular degeneration (AMD), an ophthalmic condition characterized by central vision loss. Classifying AMD subtype by International Classification of Diseases, Ninth Revision, Clinical Modifications (ICD-9-CM) (Centers for Disease Control and Prevention, 2003) code, resource utilization rates increased with disease progression. Individuals with more severe disease (wet only or wet and dry AMD) had greater costs than did those with less severe disease (drusen only or dry only). Costs among patients with wet disease increased yearly at rates exceeding inflation, possibly due in part to increased rates of treatment with photodynamic therapy among these individuals and the aging of the population.

A comparison of the Injury Severity Score and the Trauma Mortality Prediction Model.

PubMed

Cook, Alan; Weddle, Jo; Baker, Susan; Hosmer, David; Glance, Laurent; Friedman, Lee; Osler, Turner

2014-01-01

Performance benchmarking requires accurate measurement of injury severity. Despite its shortcomings, the Injury Severity Score (ISS) remains the industry standard 40 years after its creation. A new severity measure, the Trauma Mortality Prediction Model (TMPM), uses either the Abbreviated Injury Scale (AIS) or DRG International Classification of Diseases-9th Rev. (ICD-9) lexicons and may better quantify injury severity compared with ISS. We compared the performance of TMPM with ISS and other measures of injury severity in a single cohort of patients. We included 337,359 patient records with injuries reliably described in both the AIS and the ICD-9 lexicons from the National Trauma Data Bank. Five injury severity measures (ISS, maximum AIS score, New Injury Severity Score [NISS], ICD-9-Based Injury Severity Score [ICISS], TMPM) were computed using either the AIS or ICD-9 codes. These measures were compared for discrimination (area under the receiver operating characteristic curve), an estimate of proximity to a model that perfectly predicts the outcome (Akaike information criterion), and model calibration curves. TMPM demonstrated superior receiver operating characteristic curve, Akaike information criterion, and calibration using either the AIS or ICD-9 lexicons. Calibration plots demonstrate the monotonic characteristics of the TMPM models contrasted by the nonmonotonic features of the other prediction models. Severity measures were more accurate with the AIS lexicon rather than ICD-9. NISS proved superior to ISS in either lexicon. Since NISS is simpler to compute, it should replace ISS when a quick estimate of injury severity is required for AIS-coded injuries. Calibration curves suggest that the nonmonotonic nature of ISS may undermine its performance. TMPM demonstrated superior overall mortality prediction compared with all other models including ISS whether the AIS or ICD-9 lexicons were used. Because TMPM provides an absolute probability of death, it may allow clinicians to communicate more precisely with one another and with patients and families. Disagnostic study, level I; prognostic study, level II.

ICD-10 procedure codes produce transition challenges.

PubMed

Boyd, Andrew D; Li, Jianrong 'John'; Kenost, Colleen; Zaim, Samir Rachid; Krive, Jacob; Mittal, Manish; Satava, Richard A; Burton, Michael; Smith, Jacob; Lussier, Yves A

2018-01-01

The transition of procedure coding from ICD-9-CM-Vol-3 to ICD-10-PCS has generated problems for the medical community at large resulting from the lack of clarity required to integrate two non-congruent coding systems. We hypothesized that quantifying these issues with network topology analyses offers a better understanding of the issues, and therefore we developed solutions (online tools) to empower hospital administrators and researchers to address these challenges. Five topologies were identified: "identity"(I), "class-to-subclass"(C2S), "subclass-toclass"(S2C), "convoluted(C)", and "no mapping"(NM). The procedure codes in the 2010 Illinois Medicaid dataset (3,290 patients, 116 institutions) were categorized as C=55%, C2S=40%, I=3%, NM=2%, and S2C=1%. Majority of the problematic and ambiguous mappings (convoluted) pertained to operations in ophthalmology cardiology, urology, gyneco-obstetrics, and dermatology. Finally, the algorithms were expanded into a user-friendly tool to identify problematic topologies and specify lists of procedural codes utilized by medical professionals and researchers for mitigating error-prone translations, simplifying research, and improving quality.http://www.lussiergroup.org/transition-to-ICD10PCS.

The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease

PubMed Central

2011-01-01

Background Administrative data is often used to identify patients with chronic obstructive pulmonary disease (COPD), yet the validity of this approach is unclear. We sought to develop a predictive model utilizing administrative data to accurately identify patients with COPD. Methods Sequential logistic regression models were constructed using 9573 patients with postbronchodilator spirometry at two Veterans Affairs medical centers (2003-2007). COPD was defined as: 1) FEV1/FVC <0.70, and 2) FEV1/FVC < lower limits of normal. Model inputs included age, outpatient or inpatient COPD-related ICD-9 codes, and the number of metered does inhalers (MDI) prescribed over the one year prior to and one year post spirometry. Model performance was assessed using standard criteria. Results 4564 of 9573 patients (47.7%) had an FEV1/FVC < 0.70. The presence of ≥1 outpatient COPD visit had a sensitivity of 76% and specificity of 67%; the AUC was 0.75 (95% CI 0.74-0.76). Adding the use of albuterol MDI increased the AUC of this model to 0.76 (95% CI 0.75-0.77) while the addition of ipratropium bromide MDI increased the AUC to 0.77 (95% CI 0.76-0.78). The best performing model included: ≥6 albuterol MDI, ≥3 ipratropium MDI, ≥1 outpatient ICD-9 code, ≥1 inpatient ICD-9 code, and age, achieving an AUC of 0.79 (95% CI 0.78-0.80). Conclusion Commonly used definitions of COPD in observational studies misclassify the majority of patients as having COPD. Using multiple diagnostic codes in combination with pharmacy data improves the ability to accurately identify patients with COPD. PMID:21324188

Correlates of Attempted Suicide from the Emergency Room of 2 General Hospitals in Montreal, Canada

PubMed Central

Low, Nancy C. P.; Lamarre, Suzanne; Daneau, Diane; Habel, Youssef; Turecki, Gustavo; Bonin, Jean-Pierre; Morin, Suzanne; Szkrumelak, Nadia; Singh, Santokh; Lesage, Alain

2016-01-01

Introduction: The epidemiology of attempted suicide has not been well characterized because of lack of national data or an International Classification of Diseases (ICD) code for suicide attempts. We conducted a retrospective chart review in 2 adult general hospitals (tertiary and community) in Montreal, Canada, in 2009-2010 to 1) describe the characteristics of men and women who presented to the emergency department (ED) and/or were hospitalized following a suicide attempt, 2) identify factors associated with attempts requiring hospitalizations, and 3) validate the use of International Classification of Diseases, 10th Revision (ICD-10) codes for “intentional self-harm” as a method to detect suicide attempts from hospital abstract summary records. Method: All potential suicide attempts were identified from hospital abstract summary records and ED nursing triage file using ICD-10 codes and keywords suggestive of suicide attempts. All identified charts were examined, and those with confirmed suicide attempts were fully reviewed. Results: Of the 5746 identified charts, 369 were fully reviewed. Of these, 176 were for suicide attempters treated in the ED and 193 for hospitalized attempters, of whom 46% had an ICD-10 code for intentional self-harm. Poisoning (46%) was the most frequent method of suicide used. Half of attempters were younger than 34 years, 53% were female, and 75% had a history of mental disorders. Conclusion: About half of individuals who seek medical care for attempted suicide are admitted to hospital. About half of attempters use poisoning as a method of suicide, and a quarter do not have a history of mental disorders. Intentional self-harm codes capture only about half of hospitalized attempters.

Associations of Lipoprotein(a) Levels With Incident Atrial Fibrillation and Ischemic Stroke: The ARIC (Atherosclerosis Risk in Communities) Study.

PubMed

Aronis, Konstantinos N; Zhao, Di; Hoogeveen, Ron C; Alonso, Alvaro; Ballantyne, Christie M; Guallar, Eliseo; Jones, Steven R; Martin, Seth S; Nazarian, Saman; Steffen, Brian T; Virani, Salim S; Michos, Erin D

2017-12-15

Lipoprotein(a) (Lp[a]) is proatherosclerotic and prothrombotic, causally related to coronary disease, and associated with other cardiovascular diseases. The association of Lp(a) with incident atrial fibrillation (AF) and with ischemic stroke among individuals with AF remains to be elucidated. In the community-based ARIC (Atherosclerosis Risk in Communities) study cohort, Lp(a) levels were measured by a Denka Seiken assay at visit 4 (1996-1998). We used multivariable-adjusted Cox models to compare AF and ischemic stroke risk across Lp(a) levels. First, we evaluated incident AF in 9908 participants free of AF at baseline. AF was ascertained by electrocardiography at study visits, hospital International Statistical Classification of Diseases, 9th Revision ( ICD-9 ) codes, and death certificates. We then evaluated incident ischemic stroke in 10 127 participants free of stroke at baseline. Stroke was identified by annual phone calls, hospital ICD-9 Revision codes, and death certificates. The baseline age was 62.7±5.6 years. Median Lp(a) levels were 13.3 mg/dL (interquartile range, 5.2-39.7 mg/dL). Median follow-up was 13.9 and 15.8 years for AF and stroke, respectively. Lp(a) was not associated with incident AF (hazard ratio, 0.98; 95% confidence interval, 0.82-1.17), comparing those with Lp(a) ≥50 with those with Lp(a) <10 mg/dL. High Lp(a) was associated with a 42% relative increase in stroke risk among participants without AF (hazard ratio, 1.42; 95% confidence interval, 1.07-1.90) but not in those with AF (hazard ratio, 1.06; 95% confidence interval, 0.70-1.61 [ P interaction for AF=0.25]). There were no interactions by race or sex. No association was found for cardioembolic stroke subtype. High Lp(a) levels were not associated with incident AF. Lp(a) levels were associated with increased ischemic stroke risk, primarily among individuals without AF but not in those with AF. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Long-term single-center experience of defibrillator therapy in children and adolescents.

PubMed

Frommeyer, Gerrit; Feder, Sebastian; Bettin, Markus; Debus, Volker; Köbe, Julia; Reinke, Florian; Uebing, Anselm; Eckardt, Lars; Kehl, Hans Gerd

2018-06-01

Implantable cardioverter-defibrillator (ICD) systems are established therapy for prevention of sudden cardiac death. Long-term data on ICD systems in children and adolescents is rare. The present study displays a long-term single-center follow-up of children and adolescents with ICD systems. The present study represents a single-center experience of patients younger than 18 years who received an ICD (n = 58). Follow-up data included in-house follow-up as well as examinations of collaborating specialists. Mean age at implantation was 14.0 ± 3.3 years and 33 patients (56.9%) were male. A transvenous ICD system was implanted in 54 patients (93.1%). In 33 patients (56.9%) electrical heart disease or idiopathic ventricular fibrillation represented the underlying condition of ICD implantation. Median follow-up duration was 70 months (45; 94). 3 patients (5.2%) died during the observation period. None of these deaths was associated with ICD failure. Appropriate shocks occurred in 32 patients (55.2%). Inappropriate shock delivery was recorded in 17 patients (29.3%). Supraventricular tachycardia represented the most frequent cause of inappropriate shock delivery (9 patients, 52.9%). T-wave oversensing led to inappropriate shock delivery in 3 patients (17.6%). In 5 patients (29.4%), lead failure caused inappropriate shock delivery. Of note, during follow-up lead failure was reported in 15 patients (25.9%) leading to surgical revision. ICD therapy in children and adolescents is effective for prevention of sudden cardiac death. The rate of appropriate shock deliveries was significantly higher as compared with large ICD trials. Inappropriate therapies occurred frequently. In particular supraventricular tachycardia, T-wave oversensing and lead failures were responsible for these episodes. Copyright © 2017 Elsevier B.V. All rights reserved.

Uncommon combinations of ICD10-PCS or ICD-9-CM operative procedure codes account for most inpatient surgery at half of Texas hospitals.

PubMed

O'Neill, Liam; Dexter, Franklin; Park, Sae-Hwan; Epstein, Richard H

2017-09-01

Recently, there has been interest in activity-based cost accounting for inpatient surgical procedures to facilitate "value based" analyses. Research 10-20years ago, performed using data from 3 large teaching hospitals, found that activity-based cost accounting was practical and useful for modeling surgeons and subspecialties, but inaccurate for individual procedures. We hypothesized that these older results would apply to hundreds of hospitals, currently evaluable using administrative databases. Observational study. State of Texas hospital discharge abstract data for 1st quarter of 2016, 4th quarter of 2015, 1st quarter of 2015, and 4th quarter of 2014. Discharged from an acute care hospital in Texas with at least 1 major therapeutic ("operative") procedure. Counts of discharges for each procedure or combination of procedures, classified by ICD-10-PCS or ICD-9-CM. At the average hospital, most surgical discharges were for procedures performed at most once a month at the hospital (54%, 95% confidence interval [CI] 51% to 55%). At the average hospital, approximately 90% of procedures were performed at most once a month at the hospital (93%, CI 93% to 94%). The percentages were insensitive to the quarter of the year. The percentages were 3% to 6% greater with ICD-10-PCS than for the superseded ICD 9 CM. There are many different procedure codes, and many different combinations of codes, relative to the number of different hospital discharges. Since most procedures at most hospitals are performed no more than once a month, activity-based cost accounting with a sample size sufficient to be useful is impractical for the vast majority of procedures, in contrast to analysis by surgeon and/or subspecialty. Copyright © 2017 Elsevier Inc. All rights reserved.

Estimating Ten-Year Trends in Septic Shock Incidence and Mortality in United States Academic Medical Centers Using Clinical Data.

PubMed

Kadri, Sameer S; Rhee, Chanu; Strich, Jeffrey R; Morales, Megan K; Hohmann, Samuel; Menchaca, Jonathan; Suffredini, Anthony F; Danner, Robert L; Klompas, Michael

2017-02-01

Reports that septic shock incidence is rising and mortality rates declining may be confounded by improving recognition of sepsis and changing coding practices. We compared trends in septic shock incidence and mortality in academic hospitals using clinical vs claims data. We identified all patients with concurrent blood cultures, antibiotics, and vasopressors for ≥ two consecutive days, and all patients with International Classification of Diseases, 9th edition (ICD-9) codes for septic shock, at 27 academic hospitals from 2005 to 2014. We compared annual incidence and mortality trends. We reviewed 967 records from three hospitals to estimate the accuracy of each method. Of 6.5 million adult hospitalizations, 99,312 (1.5%) were flagged by clinical criteria, 82,350 (1.3%) by ICD-9 codes, and 44,651 (0.7%) by both. Sensitivity for clinical criteria was higher than claims (74.8% vs 48.3%; P < .01), whereas positive predictive value was comparable (83% vs 89%; P = .23). Septic shock incidence, based on clinical criteria, rose from 12.8 to 18.6 cases per 1,000 hospitalizations (average, 4.9% increase/y; 95% CI, 4.0%-5.9%), while mortality declined from 54.9% to 50.7% (average, 0.6% decline/y; 95% CI, 0.4%-0.8%). In contrast, septic shock incidence, based on ICD-9 codes, increased from 6.7 to 19.3 per 1,000 hospitalizations (19.8% increase/y; 95% CI, 16.6%-20.9%), while mortality decreased from 48.3% to 39.3% (1.2% decline/y; 95% CI, 0.9%-1.6%). A clinical surveillance definition based on concurrent vasopressors, blood cultures, and antibiotics accurately identifies septic shock hospitalizations and suggests that the incidence of patients receiving treatment for septic shock has risen and mortality rates have fallen, but less dramatically than estimated on the basis of ICD-9 codes. Copyright © 2016 American College of Chest Physicians. All rights reserved.

Establishment of an 11-year cohort of 8733 pediatric patients hospitalized at United States free-standing children's hospitals with de novo acute lymphoblastic leukemia from health care administrative data.

PubMed

Fisher, Brian T; Harris, Tracey; Torp, Kari; Seif, Alix E; Shah, Ami; Huang, Yuan-Shung V; Bailey, L Charles; Kersun, Leslie S; Reilly, Anne F; Rheingold, Susan R; Walker, Dana; Li, Yimei; Aplenc, Richard

2014-01-01

Acute lymphoblastic leukemia (ALL) accounts for almost one quarter of pediatric cancer in the United States. Despite cooperative group therapeutic trials, there remains a paucity of large cohort data on which to conduct epidemiology and comparative effectiveness research studies. We designed a 3-step process utilizing International Classification of Diseases-9 Clinical Modification (ICD-9) discharge diagnoses codes and chemotherapy exposure data contained in the Pediatric Health Information System administrative database to establish a cohort of children with de novo ALL. This process was validated by chart review at 1 of the pediatric centers. An ALL cohort of 8733 patients was identified with a sensitivity of 88% [95% confidence interval (CI), 83%-92%] and a positive predictive value of 93% (95% CI, 89%-96%). The 30-day all cause inpatient case fatality rate using this 3-step process was 0.80% (95% CI, 0.63%-1.01%), which was significantly different than the case fatality rate of 1.40% (95% CI, 1.23%-1.60%) when ICD-9 codes alone were used. This is the first report of assembly and validation of a cohort of de novo ALL patients from a database representative of free-standing children's hospitals across the United States. Our data demonstrate that the use of ICD-9 codes alone to establish cohorts will lead to substantial patient misclassification and result in biased outcome estimates. Systematic methods beyond the use of just ICD-9 codes must be used before analysis to establish accurate cohorts of patients with malignancy. A similar approach should be followed when establishing future cohorts from administrative data.

How Confounder Strength Can Affect Allocation of Resources in Electronic Health Records.

PubMed

Lynch, Kristine E; Whitcomb, Brian W; DuVall, Scott L

2018-01-01

When electronic health record (EHR) data are used, multiple approaches may be available for measuring the same variable, introducing potentially confounding factors. While additional information may be gleaned and residual confounding reduced through resource-intensive assessment methods such as natural language processing (NLP), whether the added benefits offset the added cost of the additional resources is not straightforward. We evaluated the implications of misclassification of a confounder when using EHRs. Using a combination of simulations and real data surrounding hospital readmission, we considered smoking as a potential confounder. We compared ICD-9 diagnostic code assignment, which is an easily available measure but has the possibility of substantial misclassification of smoking status, with NLP, a method of determining smoking status that more expensive and time-consuming than ICD-9 code assignment but has less potential for misclassification. Classification of smoking status with NLP consistently produced less residual confounding than the use of ICD-9 codes; however, when minimal confounding was present, differences between the approaches were small. When considerable confounding is present, investing in a superior measurement tool becomes advantageous.

Association of Gestational Weight Gain and Maternal Body Mass Index in Early Pregnancy With Risk for Nonaffective Psychosis in Offspring.

PubMed

Mackay, Euan; Dalman, Christina; Karlsson, Håkan; Gardner, Renee M

2017-04-01

Prenatal exposure to famine is associated with a 2-fold risk for nonaffective psychoses. Less is known about whether maternal nutrition states during pregnancy modify offspring risk for nonaffective psychoses in offspring in well-fed populations. To determine whether gestational weight gain (GWG) during pregnancy and maternal body mass index (BMI) in early pregnancy are associated with risk for nonaffective psychoses in offspring. This population-based cohort study used data from Swedish health and population registers to follow up 526 042 individuals born from January 1, 1982, through December 31, 1989, from 13 years of age until December 31, 2011. Cox proportional hazards regression models adjusted for socioeconomic status and potential risk factors were used to examine the risk for developing nonaffective psychoses. Family-based study designs were used to further test causality. Data were analyzed from February 1 to May 14, 2016. Gestational weight gain during pregnancy, maternal body mass index at the first antenatal visit, and paternal body mass index at the time of conscription into the Swedish military (at 18 years of age). Hazard ratios (HRs) for the diagnosis of nonaffective psychoses (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] codes F20 to F29 and International Classification of Diseases, Ninth Revision [ICD-9] codes 295, 297 and 298, except 298A and 298B) and narrowly defined schizophrenia (ICD-9 code 295 and ICD-10 code F20). The 526 042 individuals in the cohort (48.52% female and 51.47% male; mean [SD] age, 26 [2.3] years) included 2910 persons with nonaffective psychoses at the end of follow-up, of whom 704 had narrowly defined schizophrenia. Among the persons with nonaffective psychosis, 184 (6.32%) had mothers with extremely inadequate GWG (<8 kg for mothers with normal baseline BMI), compared with 23 627 (4.52%) of unaffected individuals. Extremely inadequate GWG was associated with an increased risk for nonaffective psychoses among offspring in adjusted models (HR, 1.32; 95% CI, 1.13-1.54) and in matched-sibling analysis (HR, 1.61; 95% CI, 1.02-2.56). Similar patterns were observed when considering narrowly defined schizophrenia as the outcome. Maternal mild thinness in early pregnancy was weakly associated with an increased risk for nonaffective psychosis in offspring (HR for BMI≥17.0 and <18.5, 1.21; 95% CI, 1.01-1.45), as was paternal severe thinness (HR for BMI<16.0, 2.53; 95% CI, 1.26-5.07) in mutually adjusted models. In matched-sibling analysis, no association was observed between maternal underweight (HR, 1.46; 95% CI, 0.90-2.35), overweight (HR, 1.11; 95% CI, 0.73-1.68), or obesity (HR, 0.56; 95% CI, 0.23-1.38) and risk for nonaffective psychosis in offspring. Inadequate GWG was associated with an increased risk for nonaffective psychosis in offspring, consistent with historical studies on maternal starvation. These findings support the role of maternal undernutrition in nonaffective psychosis pathogenesis.

Mental and behavioural disorders in the ICD-11: concepts, methodologies, and current status.

PubMed

Gaebel, Wolfgang; Zielasek, Jürgen; Reed, Geoffrey M

2017-04-30

This review provides an overview of the concepts, methods and current status of the development of the Eleventh Revision of the Mental and Behavioural Disorders chapter of the International Classification of Diseases and Related Health Problems (ICD-11) by the World Health Organization (WHO). Given the global use of the current version (ICD-10) for a wide range of applications in clinical practice and health statistics, a major aim of the development process for ICD-11 has been to increase the utility of the classification system. Expert working groups with responsibility for specific disorder groupings first suggested a set of revised diagnostic guidelines. Then surveys were performed to obtain suggestions for revisions from practicing health professionals. A completely revised structure for the classification of mental and behavioural disorders was developed and major revisions were suggested, for example, for schizophrenia and other primary psychotic disorders, substance use disorders, affective disorders and personality disorders. A new category of "gaming disorder" has been proposed and conditions related to sexual health and gender identity will be classified separately from mental disorders. An ICD-11 beta draft is freely available on the internet and public comments are invited. Field studies of the revised diagnostic guidelines are in process to obtain additional information about necessary improvements. A tabulated crosswalk from previous ICD-10 to then ICD-11 criteria will be necessary to ascertain the continuity of diagnoses for epidemiological and other statistical purposes. The final version of ICD-11 is currently scheduled for release by the World Health Assembly in 2018.

Pediatric Severe Sepsis in US Children’s Hospitals

PubMed Central

Balamuth, Fran; Weiss, Scott L.; Neuman, Mark I.; Scott, Halden; Brady, Patrick W.; Paul, Raina; Farris, Reid W.D.; McClead, Richard; Hayes, Katie; Gaieski, David; Hall, Matt; Shah, Samir S.; Alpern, Elizabeth R.

2014-01-01

Objective To compare the prevalence, resource utilization, and mortality for pediatric severe sepsis identified using two established identification strategies. Design Observational cohort study from 2004–2012. Setting Forty-four pediatric hospitals contributing data to the Pediatric Health Information Systems database. Patients Children ≤18 years of age. Measurements and Main Results We identified patients with severe sepsis or septic shock by using two International Classification of Diseases, 9th edition-Clinical Modification (ICD9-CM) based coding strategies: 1) combinations of ICD9-CM codes for infection plus organ dysfunction (combination code cohort); 2) ICD9-CM codes for severe sepsis and septic shock (sepsis code cohort). Outcomes included prevalence of severe sepsis, as well as hospital and intensive care unit (ICU) length of stay (LOS), and mortality. Outcomes were compared between the two cohorts examining aggregate differences over the study period and trends over time. The combination code cohort identified, 176,124 hospitalizations (3.1% of all hospitalizations), while the sepsis code cohort identified 25,236 hospitalizations (0.45%), a 7-fold difference. Between 2004 and 2012, the prevalence of sepsis increased from 3.7% to 4.4% using the combination code cohort and from 0.4% to 0.7% using the sepsis code cohort (p<0.001 for trend in each cohort). LOS (hospital and ICU) and costs decreased in both cohorts over the study period (p<0.001). Overall hospital mortality was higher in the sepsis code cohort than the combination code cohort (21.2%, (95% CI: 20.7–21.8 vs. 8.2%,(95% CI: 8.0–8.3). Over the 9 year study period, there was an absolute reduction in mortality of 10.9% (p<0.001) in the sepsis code cohort and 3.8% (p<0.001) in the combination code cohort. Conclusions Prevalence of pediatric severe sepsis increased in the studied US children’s hospitals over the past 9 years, though resource utilization and mortality decreased. Epidemiologic estimates of pediatric severe sepsis varied up to 7-fold depending on the strategy used for case ascertainment. PMID:25162514

Prevalence of Pulsatile Tinnitus Among Patients With Migraine.

PubMed

Weinreich, Heather M; Carey, John P

2016-03-01

To examine the prevalence of pulsatile tinnitus (PT) among patients with a diagnosis of migraine and to determine if treatment of migraine improves symptoms. Single-institution retrospective patient review. Academic tertiary referral center. Billing data capturing ICD-9 codes 346.xx and 388.3x was used to identify patients with history of migraine and tinnitus. Patients were excluded if the symptom of PT could be attributed to an alternate diagnosis. Data were extracted from the patients' electronic medical records. Therapeutic patients were prescribed a strict migraine diet with or without migraine medication. Subjective improvement in tinnitus as documented in electronic medical records. One thousand two hundred four patients were identified with an ICD-9 code for migraine and of those patients, 12% (n = 145) had an ICD-9 code for tinnitus. After ruling out alternative causes, the prevalence of PT among all patients with migraine was 1.9%. Of migrainers with PT who underwent migraine treatment, 11 out of 16 reported resolution or improvement of their PT. PT can be observed in the context of migraine. Migraine treatment with avoidance of dietary triggers with or without medication can possibly lead to resolution of PT.

Trauma patients: I can't get no (patient) satisfaction?

PubMed

Bentley-Kumar, Karalyn; Jackson, Theresa; Holland, Danny; LeBlanc, Brian; Agrawal, Vaidehi; Truitt, Michael S

2016-12-01

The Centers for Medicare and Medicaid Services (CMS) provides financial incentives to hospitals based on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient satisfaction survey. This data is made publicly available on their website to be utilized by patients and insurers. Hospitals are profoundly interested in identifying patient populations that negatively contribute to overall patient satisfaction scores. Hospitals consider trauma patients "high risk" from a HCAHPS perspective, but there is no data to inform this opinion. The purpose of this study is to evaluate trauma patient satisfaction scores and their impact on overall patient satisfaction. Three different analyses were performed. Group 1 was composed of ALL patients admitted to our hospital over a 7-month period who were administered a validated patient satisfaction survey by a 3rd party and compared patient satisfaction of trauma vs. non-trauma patients (ALL). Group 2 compared admitted patients with a specific ICD-9 procedure code to non-trauma patients who underwent a procedure with the same ICD-9 code (ICD). Group 3 examines patient satisfaction between three Level I Trauma Centers within our geographic area (TC). Patient satisfaction data of trauma vs non-trauma patients (ALL), those with a specific ICD-9 procedure code (ICD), and the 3 Level I Trauma Centers in our area (TC) were analyzed with the appropriate statistical test. In the ALL group, no difference in satisfaction was noted in 18/21 questions for trauma patients when compared to non-trauma patients at our hospital. In the ICD group, 57 ICD-9 procedure codes were analyzed. Of these, only patients who required spinal fusion secondary to trauma reported lower overall patient satisfaction. No meaningful difference was found in HCAHPS associated satisfaction between the Level I Trauma Centers in our area (TC). In contrast to commonly held opinion, trauma patients do not negatively contribute to overall patient satisfaction in our facility. Certain injuries may offer opportunities for improvement and efforts around improved physician-patient communication may be warranted. In the era of public reporting and financial penalties, surgeons should embrace patient satisfaction as it may be vital to the survival of the trauma center. Copyright © 2016. Published by Elsevier Inc.

Does hospital accreditation impact bariatric surgery safety?

PubMed

Morton, John M; Garg, Trit; Nguyen, Ninh

2014-09-01

To evaluate the impact of hospital accreditation upon bariatric surgery outcomes. Since 2004, the American College of Surgeons and the American Society of Metabolic and Bariatric Surgery have accredited bariatric hospitals. Few studies have evaluated the impact of hospital accreditation on all bariatric surgery outcomes. Bariatric surgery hospitalizations were identified using International Classification of Diseases, Ninth Revision (ICD9) codes in the 2010 Nationwide Inpatient Sample (NIS). Hospital names and American Hospital Association (AHA) codes were used to identify accredited bariatric centers. Relevant ICD9 codes were used for identifying demographics, length of stay (LOS), total charges, mortality, complications, and failure to rescue (FTR) events. There were 117,478 weighted bariatric patient discharges corresponding to 235 unique hospitals in the 2010 NIS data set. A total of 72,615 (61.8%) weighted discharges, corresponding to 145 (61.7%) named or AHA-identifiable hospitals were included. Among the 145 hospitals, 66 (45.5%) were unaccredited and 79 (54.5%) accredited. Compared with accredited centers, unaccredited centers had a higher mean LOS (2.25 vs 1.99 days, P < 0.0001), as well as total charges ($51,189 vs $42,212, P < 0.0001). Incidence of any complication was higher at unaccredited centers than at accredited centers (12.3% vs 11.3%, P = 0.001), as was mortality (0.13% vs 0.07%, P = 0.019) and FTR (0.97% vs 0.55%, P = 0.046). Multivariable logistic regression analysis identified unaccredited status as a positive predictor of incidence of complication [odds ratio (OR) = 1.08, P < 0.0001], as well as mortality (OR = 2.13, P = 0.013). Hospital accreditation status is associated with safer outcomes, shorter LOS, and lower total charges after bariatric surgery.

Prevalence of systemic lupus erythematosus and associated comorbidities in Puerto Rico

PubMed Central

Molina, María J.; Mayor, Angel M.; Franco, Alejandro E.; Morell, Carlos A.; López, Miguel A.; Vilá, Luis M.

2013-01-01

Objective To determine the prevalence of systemic lupus erythematosus (SLE) and its associated comorbidities in patients from Puerto Rico using a database from a health insurance company. Methods The insurance claims submitted by physicians in 2003 to a health insurance company of Puerto Rico were examined. Of 552,733 insured people, 877 had a diagnosis of SLE (code 710.0) per the International Classification of Diseases, Ninth Revision (ICD-9). Demographic parameters and selected comorbidities were determined. The diagnosis of comorbities was ascertained using the ICD-9 code, the Current Procedural Terminology-4 (CPT-4) code (for disease specific procedures) and/or the Medi-Span Therapeutic Classification System (for disease specific pharmacologic treatment). Fisher exact test and Chi-square were used to evaluate differences between SLE patients groups. Results The mean age was 42.0 ± 13 and the female to male ratio was 12.5:1. The overall prevalence of SLE was 159 per 100,000 individuals. The prevalence for females was 277 per 100,000 women and for males it was 25 per 100,000 men. The most common comorbidities were high blood pressure (33.7%), osteopenia/osteoporosis (22.2%), hypothyroidism (19.0%), diabetes mellitus (11.6%) and hypercholesterolemia (11.6%). Overall, high blood pressure, diabetes mellitus, hypercholesterolemia, and coronary artery disease were more prevalent in SLE patients older than 54 years. Osteopenia/osteoporosis was more prevalent in women than in men. Conclusions The prevalence of SLE in Puerto Rico is very high. High blood pressure, diabetes mellitus, hypercholesterolemia, hypothyroidism and osteopenia/osteoporosis are common comorbidities in these patients. Identification and management of these comorbidities are critical for optimal medical care to this population. PMID:17762454

Prevalence of systemic lupus erythematosus and associated comorbidities in Puerto Rico.

PubMed

Molina, María J; Mayor, Angel M; Franco, Alejandro E; Morell, Carlos A; López, Miguel A; Vilá, Luis M

2007-08-01

To examine the prevalence of systemic lupus erythematosus (SLE) and its associated comorbidities in patients from Puerto Rico using a database from a health insurance company. The insurance claims submitted by physicians in 2003 to a health insurance company of Puerto Rico were examined. Of 552,733 insured people, 877 had a diagnosis of SLE (code 710.0) per the International Classification of Diseases, Ninth Revision (ICD-9). Demographic parameters and selected comorbidities were determined. The diagnosis of comorbities was ascertained using the ICD-9 code, the Current Procedural Terminology-4 code (for disease-specific procedures) and/or the Medi-Span Therapeutic Classification System (for disease-specific pharmacologic treatment). Fisher exact test and chi were used to evaluate differences between SLE patients groups. The mean age was 42.0 +/- 13.5, and the female-to-male ratio was 12.5:1. The overall prevalence of SLE was 159 per 100,000 individuals. The prevalence for females was 277 per 100,000 women and for males it was 25 per 100,000 men. The most common comorbidities were high blood pressure (33.7%), osteopenia/osteoporosis (22.2%), hypothyroidism (19.0%), diabetes mellitus (11.6%), and hypercholesterolemia (11.6%). Overall, high blood pressure, diabetes mellitus, hypercholesterolemia, and coronary artery disease were more prevalent in SLE patients older than 54 years. Osteopenia/osteoporosis was more prevalent in women than in men. The prevalence of SLE in Puerto Rico is very high. High blood pressure, diabetes mellitus and hypercholesterolemia, hypothyroidism, and osteopenia/osteoporosis are common comorbidities in these patients. Identification and management of these comorbidities are critical for optimal medical care to this population.

Increased risk of Parkinson's disease in individuals hospitalized with conditions related to the use of methamphetamine or other amphetamine-type drugs.

PubMed

Callaghan, Russell C; Cunningham, James K; Sykes, Jenna; Kish, Stephen J

2012-01-01

Since methamphetamine and other amphetamine-type stimulants (meth/amphetamine) can damage dopaminergic neurons, researchers have long speculated that these drugs may predispose users to develop Parkinson's disease (PD), a dopamine deficiency neurological disorder. We employed a retrospective population-based cohort study using all linked statewide California inpatient hospital episodes and death records from January 1, 1990 through December 31, 2005. Patients at least 30 years of age were followed for up to 16 years. Competing risks analysis was used to determine whether the meth/amphetamine cohort had elevated risk of developing PD (ICD-9 332.0; ICD-10 G20) in comparison to a matched population-proxy appendicitis group and a matched cocaine drug control group. Individuals admitted to hospital with meth/amphetamine-related conditions (n=40,472; ICD-9 codes 304.4, 305.7, 969.7, E854.2) were matched on age, race, sex, date of index admission, and patterns of hospital admission with patients with appendicitis conditions (n=207,831; ICD-9 codes 540-542) and also individuals with cocaine-use disorders (n=35,335; ICD-9 codes 304.2, 305.6, 968.5). The meth/amphetamine cohort showed increased risk of PD compared to both that of the matched appendicitis group [hazard ratio (HR)=1.76, 95% CI: 1.12-2.75, p=0.017] and the matched cocaine group [HR=2.44, 95% CI: 1.32-4.41, p=0.004]. The cocaine group did not show elevated hazard of PD compared to the matched appendicitis group [HR=1.04, 95% CI: 0.56-1.93, p=0.80]. These data provide evidence that meth/amphetamine users have above-normal risk for developing PD. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Part 2. Association of daily mortality with ambient air pollution, and effect modification by extremely high temperature in Wuhan, China.

PubMed

Qian, Zhengmin; He, Qingci; Lin, Hung-Mo; Kong, Lingli; Zhou, Dunjin; Liang, Shengwen; Zhu, Zhichao; Liao, Duanping; Liu, Wenshan; Bentley, Christy M; Dan, Jijun; Wang, Beiwei; Yang, Niannian; Xu, Shuangqing; Gong, Jie; Wei, Hongming; Sun, Huilin; Qin, Zudian

2010-11-01

Fewer studies have been published on the association between daily mortality and ambient air pollution in Asia than in the United States and Europe. This study was undertaken in Wuhan, China, to investigate the acute effects of air pollution on mortality with an emphasis on particulate matter (PM*). There were three primary aims: (1) to examine the associations of daily mortality due to all natural causes and daily cause-specific mortality (cardiovascular [CVD], stroke, cardiac [CARD], respiratory [RD], cardiopulmonary [CP], and non-cardiopulmonary [non-CP] causes) with daily mean concentrations (microg/m3) of PM with an aerodynamic diameter--10 pm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), or ozone (O3); (2) to investigate the effect modification of extremely high temperature on the association between air pollution and daily mortality due to all natural causes and daily cause-specific mortality; and (3) to assess the uncertainty of effect estimates caused by the change in International Classification of Disease (ICD) coding of mortality data from Revision 9 (ICD-9) to Revision 10 (ICD-10) code. Wuhan is called an "oven city" in China because of its extremely hot summers (the average daily temperature in July is 37.2 degrees C and maximum daily temperature often exceeds 40 degrees C). Approximately 4.5 million residents live in the core city area of 201 km2, where air pollution levels are higher and ranges are wider than the levels in most cities studied in the published literature. We obtained daily mean levels of PM10, SO2, and NO2 concentrations from five fixed-site air monitoring stations operated by the Wuhan Environmental Monitoring Center (WEMC). O3 data were obtained from two stations, and 8-hour averages, from 10:00 to 18:00, were used. Daily mortality data were obtained from the Wuhan Centres for Disease Prevention and Control (WCDC) during the study period of July 1, 2000, to June 30, 2004. To achieve the first aim, we used a regression of the logarithm of daily counts of mortality due to all natural causes and cause-specific mortality on the daily mean concentrations of the four pollutants while controlling for weather, temporal factors, and other important covariates with generalized additive models (GAMs). We derived pollutant effect estimations for 0-day, 1-day, 2-day, 3-day, and 4-day lagged exposure levels, and the averages of 0-day and 1-day lags (lag 0-1 day) and of 0-day, 1-day, 2-day, and 3-day lags (lag 0-3 days) before the event of death. In addition, we used individual-level data (e.g., age and sex) to classify subgroups in stratified analyses. Furthermore, we explored the nonlinear shapes ("thresholds") of the exposure-response relations. To achieve the second aim, we tested the hypothesis that extremely high temperature modifies the associations between air pollution and daily mortality. We developed three corresponding weather indicators: "extremely hot," "extremely cold," and "normal temperatures." The estimates were obtained from the models for the main effects and for the pollutant-temperature interaction for each pollutant and each cause of mortality. To achieve the third aim, we conducted an additional analysis. We examined the concordance rates and kappa statistics between the ICD-9-coded mortality data and the ICD-10-coded mortality data for the year 2002. We also compared the magnitudes of the estimated effects resulting from the use of the two types of ICD-coded mortality data. In general, the largest pollutant effects were observed at lag 0-1 day. Therefore, for this report, we focused on the results obtained from the lag 0-1 models. We observed consistent associations between PM10 and mortality: every 10-microg/m3 increase in PM10 daily concentration at lag 0-1 day produced a statistically significant association with an increase in mortality due to all natural causes (0.43%; 95% confidence interval [CI], 0.24 to 0.62), CVD (0.57%; 95% CI, 0.31 to 0.84), stroke (0.57%; 95% CI, 0.25 to 0.88), CARD (0.49%; 95% CI, 0.04 to 0.94), RD (0.87%; 95% CI, 0.34 to 1.41), CP (0.52%; 95% CI, 0.27 to 0.77), and non-CP (0.30%; 95% CI, 0.05 to 0.54). In general, these effects were stronger in females than in males and were also stronger among the elderly (> or = 65 years) than among the young. The results of sensitivity testing over the range of exposures from 24.8 to 477.8 microg/m3 also suggest the appropriateness of assuming a linear relation between daily mortality and PM10. Among the gaseous pollutants, we also observed statistically significant associations of mortality with NO, and SO2, and that the estimated effects of these two pollutants were stronger than the PM10 effects. The patterns of NO2 and SO2 associations were similar to those of PM10 in terms of sex, age, and linearity. O3 was not associated with mortality. In the analysis of the effect modification of extremely high temperature on the association between air pollution and daily mortality, only the interaction of PM10 with temperature was statistically significant. Specifically, the interaction terms were statistically significant for mortality due to all natural (P = 0.014), CVD (P = 0.007), and CP (P = 0.014) causes. Across the three temperature groups, the strongest PM10 effects occurred mainly on days with extremely high temperatures for mortality due to all natural (2.20%; 95% CI, 0.74 to 3.68), CVD (3.28%; 95% CI, 1.24 to 5.37), and CP (3.02%; 95% CI, 1.03 to 5.04) causes. The weakest effects occurred at normal temperature days, with the effects on days with low temperatures in the middle. To assess the uncertainty of the effect estimates caused by the change from ICD-9-coded mortality data to ICD-10-coded mortality data, we compared the two sets of data and found high concordance rates (> 99.3%) and kappa statistics close to 1.0 (> 0.98). All effect estimates showed very little change. All statistically significant levels of the estimated effects remained unchanged. In conclusion, the findings for the aims from the current study are consistent with those in most previous studies of air pollution and mortality. The small differences between mortality effects for deaths coded using ICD-9 and ICD-10 show that the change in coding had a minimal impact on our study. Few published papers have reported synergistic effects of extremely high temperatures and air pollution on mortality, and further studies are needed. Establishing causal links between heat, PM10, and mortality will require further toxicologic and cohort studies.

Kidney Failure and ESRD in the Atherosclerosis Risk in Communities (ARIC) Study: Comparing Ascertainment of Treated and Untreated Kidney Failure in a Cohort Study.

PubMed

Rebholz, Casey M; Coresh, Josef; Ballew, Shoshana H; McMahon, Blaithin; Whelton, Seamus P; Selvin, Elizabeth; Grams, Morgan E

2015-08-01

Linkage to the US Renal Data System (USRDS) registry commonly is used to identify end-stage renal disease (ESRD) cases, or kidney failure treated with dialysis or transplantation, but it underestimates the total burden of kidney failure. This study validates a kidney failure definition that includes both kidney failure treated and not treated by dialysis or transplantation. It compares kidney failure risk factors and outcomes using this broader definition with USRDS-identified ESRD risk factors and outcomes. Diagnostic test study with stratified random sampling of hospitalizations for chart review. Atherosclerosis Risk in Communities Study (n=11,530; chart review, n=546). USRDS-identified ESRD; treated or untreated kidney failure defined by USRDS-identified ESRD or International Classification of Diseases, Ninth or Tenth Revision, Clinical Modification (ICD-9-CM/ICD-10-CM) code for hospitalization or death. For ESRD, determination of permanent dialysis therapy or transplantation; for kidney failure, determination of permanent dialysis therapy, transplantation, or estimated glomerular filtration rate < 15 mL/min/1.73 m(2). During 13 years' median follow-up, 508 kidney failure cases were identified, including 173 (34.1%) from the USRDS registry. ESRD and kidney failure incidence were 1.23 and 3.66 cases per 1,000 person-years in the overall population and 1.35 and 6.59 cases per 1,000 person-years among participants older than 70 years, respectively. Other risk-factor associations were similar between ESRD and kidney failure, except diabetes and albuminuria, which were stronger for ESRD. Survivals at 1 and 5 years were 74.0% and 24.0% for ESRD and 59.8% and 31.6% for kidney failure, respectively. Sensitivity and specificity were 88.0% and 97.3% comparing the kidney failure ICD-9-CM/ICD-10-CM code algorithm to chart review; for USRDS-identified ESRD, sensitivity and specificity were 94.9% and 100.0%. Some medical charts were incomplete. A kidney failure definition including treated and untreated disease identifies more cases than linkage to the USRDS registry alone, particularly among older adults. Future studies might consider reporting both USRDS-identified ESRD and a more inclusive kidney failure definition. Copyright © 2015 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Kidney Failure and ESRD in the Atherosclerosis Risk in Communities (ARIC) Study: Comparing Ascertainment of Treated and Untreated Kidney Failure in a Cohort Study

PubMed Central

Rebholz, Casey M.; Coresh, Josef; Ballew, Shoshana H.; McMahon, Blaithin; Whelton, Seamus P.; Selvin, Elizabeth; Grams, Morgan E.

2015-01-01

Background Linkage to the US Renal Data System (USRDS) registry is commonly used to identify end-stage renal disease (ESRD) cases, or kidney failure treated with dialysis or transplantation, but it underestimates the total burden of kidney failure. This study validates a kidney failure definition that includes both kidney failure treated and not treated by dialysis or transplantation. It compares kidney failure risk factors and outcomes using this broader definition to USRDS-identified ESRD risk factors and outcomes. Study Design Diagnostic test study with stratified random sampling of hospitalizations for chart review. Setting & Participants Atherosclerosis Risk in Communities Study (N=11,530; chart review n=546). Index Test USRDS-identified ESRD; treated or untreated kidney failure defined by USRDS-identified ESRD or International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)/ICD-10-CM code from hospitalization or death. Reference Test For ESRD, determination of permanent dialysis or transplantation; for kidney failure, determination of permanent dialysis, transplantation, or eGFR <15 mL/min/1.73 m2. Results Over 13 years' median follow-up, 508 kidney failure cases were identified, including 173 (34.1%) from the USRDS registry. ESRD and kidney failure incidence were 1.23 and 3.66 cases per 1,000 person-years in the overall population, and 1.35 and 6.59 cases per 1,000 person-years among participants older than 70 years, respectively. Other risk factor associations were similar between ESRD and kidney failure, except diabetes and albuminuria which were stronger for ESRD. Survival at 1 and 5 years were 74.0% and 24.0% for ESRD and 59.8% and 31.6% for kidney failure, respectively. Sensitivity and specificity were 88.0% and 97.3% comparing the kidney failure ICD-9-CM/ICD-10-CM code algorithm to chart review; for USRDS-identified ESRD, sensitivity and specificity were 94.9% and 100.0%. Limitations Some medical charts were incomplete. Conclusions A kidney failure definition including treated and untreated disease identifies more cases than linkage to the USRDS registry alone, particularly among older adults. Future studies might consider reporting both USRDS-identified ESRD and a more inclusive kidney failure definition. PMID:25773483

ICD-10 procedure codes produce transition challenges

PubMed Central

Boyd, Andrew D.; Li, Jianrong ‘John’; Kenost, Colleen; Zaim, Samir Rachid; Krive, Jacob; Mittal, Manish; Satava, Richard A.; Burton, Michael; Smith, Jacob; Lussier, Yves A.

2018-01-01

The transition of procedure coding from ICD-9-CM-Vol-3 to ICD-10-PCS has generated problems for the medical community at large resulting from the lack of clarity required to integrate two non-congruent coding systems. We hypothesized that quantifying these issues with network topology analyses offers a better understanding of the issues, and therefore we developed solutions (online tools) to empower hospital administrators and researchers to address these challenges. Five topologies were identified: “identity”(I), “class-to-subclass”(C2S), “subclass-toclass”(S2C), “convoluted(C)”, and “no mapping”(NM). The procedure codes in the 2010 Illinois Medicaid dataset (3,290 patients, 116 institutions) were categorized as C=55%, C2S=40%, I=3%, NM=2%, and S2C=1%. Majority of the problematic and ambiguous mappings (convoluted) pertained to operations in ophthalmology cardiology, urology, gyneco-obstetrics, and dermatology. Finally, the algorithms were expanded into a user-friendly tool to identify problematic topologies and specify lists of procedural codes utilized by medical professionals and researchers for mitigating error-prone translations, simplifying research, and improving quality.http://www.lussiergroup.org/transition-to-ICD10PCS PMID:29888037

Resource Utilization and Costs of Age-Related Macular Degeneration

PubMed Central

Halpern, Michael T.; Schmier, Jordana K.; Covert, David; Venkataraman, Krithika

2006-01-01

Data were analyzed from the 1999-2001 Medicare Beneficiary Encrypted Files for patients with age-related macular degeneration (AMD), an ophthalmic condition characterized by central vision loss. Classifying AMD subtype by International Classification of Diseases, Ninth Revision, Clinical Modifications (ICD-9-CM) (Centers for Disease Control and Prevention, 2003) code, resource utilization rates increased with disease progression. Individuals with more severe disease (wet only or wet and dry AMD) had greater costs than did those with less severe disease (drusen only or dry only). Costs among patients with wet disease increased yearly at rates exceeding inflation, possibly due in part to increased rates of treatment with photodynamic therapy among these individuals and the aging of the population. PMID:17290647

The development, evolution, and modifications of ICD-10: challenges to the international comparability of morbidity data.

PubMed

Jetté, Nathalie; Quan, Hude; Hemmelgarn, Brenda; Drosler, Saskia; Maass, Christina; Moskal, Lori; Paoin, Wansa; Sundararajan, Vijaya; Gao, Song; Jakob, Robert; Ustün, Bedihran; Ghali, William A

2010-12-01

The United States is about to make a major nationwide transition from ICD-9-CM coding of hospital discharges to ICD-10-CM, a country-specific modification of the World Health Organization's ICD-10. As this transition occurs, the WHO is already in the midst of developing ICD-11. Given this context, we undertook this review to discuss: (1) the history of the International Classification of Diseases (a core information "building block" for health systems everywhere) from its introduction to the current era of ICD-11 development; (2) differences across country-specific ICD-10 clinical modifications and the challenges that these differences pose to the international comparability of morbidity data; (3) potential strategic approaches to achieving better international ICD-11 comparability. A literature review and stakeholder consultation was carried out. The various ICD-10 clinical modifications (ICD-10-AM [Australia], ICD-10-CA [Canada], ICD-10-GM [Germany], ICD-10-TM [Thailand], ICD-10-CM [United States]) were compared. These ICD-10 modifications differ in their number of codes, chapters, and subcategories. Specific conditions are present in some but not all of the modifications. ICD-11, with a similar structure to ICD-10, will function in an electronic health records environment and also provide disease descriptive characteristics (eg, causal properties, functional impact, and treatment). The threat to the comparability of international clinical morbidity is growing with the development of many country-specific ICD-10 versions. One solution to this threat is to develop a meta-database including all country-specific modifications to ensure more efficient use of people and resources, decrease omissions and errors but most importantly provide a platform for future ICD updates.

Structured physician order entry for trauma CT: value in improving clinical information transfer and billing efficiency.

PubMed

Wortman, Jeremy R; Goud, Asha; Raja, Ali S; Marchello, Dana; Sodickson, Aaron

2014-12-01

The purpose of this study was to measure the effects of use of a structured physician order entry system for trauma CT on the communication of clinical information and on coding practices and reimbursement efficiency. This study was conducted between April 1, 2011, and January 14, 2013, at a level I trauma center with 59,000 annual emergency department visits. On March 29, 2012, a structured order entry system was implemented for head through pelvis trauma CT, so-called pan-scan CT. This study compared the following factors before and after implementation: communication of clinical signs and symptoms and mechanism of injury, primary International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) code category, success of reimbursement, and time required for successful reimbursement for the examination. Chi-square statistics were used to compare all categoric variables before and after the intervention, and the Wilcoxon rank sum test was used to compare billing cycle times. A total of 457 patients underwent pan-scan CT in 2734 distinct examinations. After the intervention, there was a 62% absolute increase in requisitions containing clinical signs or symptoms (from 0.4% to 63%, p<0.0001) and a 99% absolute increase in requisitions providing mechanism of injury (from 0.4% to 99%, p<0.0001). There was a 19% absolute increase in primary ICD-9-CM codes representing clinical signs or symptoms (from 2.9% to 21.8%, p<0.0001), and a 7% absolute increase in reimbursement success for examinations submitted to insurance carriers (from 83.0% to 89.7%, p<0.0001). For reimbursed studies, there was a 14.7-day reduction in mean billing cycle time (from 68.4 days to 53.7 days, p=0.008). Implementation of structured physician order entry for trauma CT was associated with significant improvement in the communication of clinical history to radiologists. The improvement was also associated with changes in coding practices, greater billing efficiency, and an increase in reimbursement success.

The Value of Electronically Extracted Data for Auditing Outpatient Antimicrobial Prescribing.

PubMed

Livorsi, Daniel J; Linn, Carrie M; Alexander, Bruce; Heintz, Brett H; Tubbs, Traviss A; Perencevich, Eli N

2018-01-01

OBJECTIVE The optimal approach to auditing outpatient antimicrobial prescribing has not been established. We assessed how different types of electronic data-including prescriptions, patient-visits, and International Classification of Disease, Tenth Revision (ICD-10) codes-could inform automated antimicrobial audits. DESIGN Outpatient visits during 2016 were retrospectively reviewed, including chart abstraction, if an antimicrobial was prescribed (cohort 1) or if the visit was associated with an infection-related ICD-10 code (cohort 2). Findings from cohorts 1 and 2 were compared. SETTING Primary care clinics and the emergency department (ED) at the Iowa City Veterans Affairs Medical Center. RESULTS In cohort 1, we reviewed 2,353 antimicrobial prescriptions across 52 providers. ICD-10 codes had limited sensitivity and positive predictive value (PPV) for validated cases of cystitis and pneumonia (sensitivity, 65.8%, 56.3%, respectively; PPV, 74.4%, 52.5%, respectively). The volume-adjusted antimicrobial prescribing rate was 13.6 per 100 ED visits and 7.5 per 100 primary care visits. In cohort 2, antimicrobials were not indicated in 474 of 851 visits (55.7%). The antimicrobial overtreatment rate was 48.8% for the ED and 59.7% for primary care. At the level of the individual prescriber, there was a positive correlation between a provider's volume-adjusted antimicrobial prescribing rate and the individualized rates of overtreatment in both the ED (r=0.72; P<.01) and the primary care setting (r=0.82; P=0.03). CONCLUSIONS In this single-center study, ICD-10 codes had limited sensitivity and PPV for 2 infections that typically require antimicrobials. Electronically extracted data on a provider's rate of volume-adjusted antimicrobial prescribing correlated with the frequency at which unnecessary antimicrobials were prescribed, but this may have been driven by outlier prescribers. Infect Control Hosp Epidemiol 2018;39:64-70.

Development and validation of an epidemiologic case definition of epilepsy for use with routinely collected Australian health data.

PubMed

Tan, Michael; Wilson, Ian; Braganza, Vanessa; Ignatiadis, Sophia; Boston, Ray; Sundararajan, Vijaya; Cook, Mark J; D'Souza, Wendyl J

2015-10-01

We report the diagnostic validity of a selection algorithm for identifying epilepsy cases. Retrospective validation study of International Classification of Diseases 10th Revision Australian Modification (ICD-10AM)-coded hospital records and pharmaceutical data sampled from 300 consecutive potential epilepsy-coded cases and 300 randomly chosen cases without epilepsy from 3/7/2012 to 10/7/2013. Two epilepsy specialists independently validated the diagnosis of epilepsy. A multivariable logistic regression model was fitted to identify the optimum coding algorithm for epilepsy and was internally validated. One hundred fifty-eight out of three hundred (52.6%) epilepsy-coded records and 0/300 (0%) nonepilepsy records were confirmed to have epilepsy. The kappa for interrater agreement was 0.89 (95% CI=0.81-0.97). The model utilizing epilepsy (G40), status epilepticus (G41) and ≥1 antiepileptic drug (AED) conferred the highest positive predictive value of 81.4% (95% CI=73.1-87.9) and a specificity of 99.9% (95% CI=99.9-100.0). The area under the receiver operating curve was 0.90 (95% CI=0.88-0.93). When combined with pharmaceutical data, the precision of case identification for epilepsy data linkage design was considerably improved and could provide considerable potential for efficient and reasonably accurate case ascertainment in epidemiological studies. Copyright © 2015 Elsevier Inc. All rights reserved.

Reimbursement Policies for Carotid Duplex Ultrasound that are Based on International Classification of Diseases Codes May Discourage Testing in High-Yield Groups.

PubMed

Go, Michael R; Masterson, Loren; Veerman, Brent; Satiani, Bhagwan

2016-02-01

To curb increasing volumes of diagnostic imaging and costs, reimbursement for carotid duplex ultrasound (CDU) is dependent on "appropriate" indications as documented by International Classification of Diseases (ICD) codes entered by ordering physicians. Historically, asymptomatic indications for CDU yield lower rates of abnormal results than symptomatic indications, and consensus documents agree that most asymptomatic indications for CDU are inappropriate. In our vascular laboratory, we perceived an increased rate of incorrect or inappropriate ICD codes. We therefore sought to determine if ICD codes were useful in predicting the frequency of abnormal CDU. We hypothesized that asymptomatic or nonspecific ICD codes would yield a lower rate of abnormal CDU than symptomatic codes, validating efforts to limit reimbursement in asymptomatic, low-yield groups. We reviewed all outpatient CDU done in 2011 at our institution. ICD codes were recorded, and each medical record was then reviewed by a vascular surgeon to determine if the assigned ICD code appropriately reflected the clinical scenario. CDU findings categorized as abnormal (>50% stenosis) or normal (<50% stenosis) were recorded. Each individual ICD code and group 1 (asymptomatic), group 2 (nonhemispheric symptoms), group 3 (hemispheric symptoms), group 4 (preoperative cardiovascular examination), and group 5 (nonspecific) ICD codes were analyzed for correlation with CDU results. Nine hundred ninety-four patients had 74 primary ICD codes listed as indications for CDU. Of assigned ICD codes, 17.4% were deemed inaccurate. Overall, 14.8% of CDU were abnormal. Of the 13 highest frequency ICD codes, only 433.10, an asymptomatic code, was associated with abnormal CDU. Four symptomatic codes were associated with normal CDU; none of the other high frequency codes were associated with CDU result. Patients in group 1 (asymptomatic) were significantly more likely to have an abnormal CDU compared to each of the other groups (P < 0.001, P < 0.001, P = 0.020, P = 0.002) and to all other groups combined (P < 0.001). Asymptomatic indications by ICD codes yielded higher rates of abnormal CDU than symptomatic indications. This finding is inconsistent with clinical experience and historical data, and we suggest that inaccurate coding may play a role. Limiting reimbursement for CDU in low-yield groups is reasonable. However, reimbursement policies based on ICD coding, for example, limiting payment for asymptomatic ICD codes, may impede use of CDU in high-yield patient groups. Copyright © 2016 Elsevier Inc. All rights reserved.

Risk of tinnitus in patients with sleep apnea: A nationwide, population-based, case-control study.

PubMed

Koo, Malcolm; Hwang, Juen-Haur

2017-09-01

To investigate the risk of tinnitus in patients with sleep disturbance or sleep apnea. Case control study. We identified 21,798 middle-aged and elderly patients with otolaryngologist-diagnosed tinnitus between January 1, 2000, and December 31, 2012, from the Longitudinal Health Insurance Database 2000 of the Taiwan National Health Insurance Research Database. A total of 108,990 controls were also identified from the same database based on frequency-matching on 10-year age interval, sex, and year of index date of the cases. Diagnoses of sleep disturbance (International Classification of Diseases, 9th Revision, Clinical Modification [ICD-9-CM] codes 780.50, 780.52, 307.4) and sleep apnea (ICD-9-CM codes 780.51, 780.53, 780.57) in the cases and controls prior to the index date were assessed. The risks of tinnitus in patients with sleep disturbance and sleep apnea were separately evaluated with multivariate logistic regression analyses. The mean age of the total 130,788 patients was 59.8 years, and 47% of them were males. The risk of tinnitus was higher in patients with sleep disturbance compared to those without the condition (adjusted odds ratio [OR] = 1.13, 95% confidence interval [CI] [95% CI] = 1.11-1.17), and the risk of tinnitus was higher in patients with sleep apnea compared to those without the condition (adjusted OR = 1.36, 95% CI = 1.16-1.60). In this population-based, case-control study, the risk of tinnitus was found to be significantly higher among middle-aged and elderly Taiwanese patients with sleep disturbances, especially with sleep apnea. 3b. Laryngoscope, 127:2171-2175, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

Using network projections to explore co-incidence and context in large clinical datasets: Application to homelessness among U.S. Veterans.

PubMed

Pettey, Warren B P; Toth, Damon J A; Redd, Andrew; Carter, Marjorie E; Samore, Matthew H; Gundlapalli, Adi V

2016-06-01

Network projections of data can provide an efficient format for data exploration of co-incidence in large clinical datasets. We present and explore the utility of a network projection approach to finding patterns in health care data that could be exploited to prevent homelessness among U.S. Veterans. We divided Veteran ICD-9-CM (ICD9) data into two time periods (0-59 and 60-364days prior to the first evidence of homelessness) and then used Pajek social network analysis software to visualize these data as three different networks. A multi-relational network simultaneously displayed the magnitude of ties between the most frequent ICD9 pairings. A new association network visualized ICD9 pairings that greatly increased or decreased. A signed, subtraction network visualized the presence, absence, and magnitude difference between ICD9 associations by time period. A cohort of 9468 U.S. Veterans was identified as having administrative evidence of homelessness and visits in both time periods. They were seen in 222,599 outpatient visits that generated 484,339 ICD9 codes (average of 11.4 (range 1-23) visits and 2.2 (range 1-60) ICD9 codes per visit). Using the three network projection methods, we were able to show distinct differences in the pattern of co-morbidities in the two time periods. In the more distant time period preceding homelessness, the network was dominated by routine health maintenance visits and physical ailment diagnoses. In the 59days immediately prior to the homelessness identification, alcohol related diagnoses along with economic circumstances such as unemployment, legal circumstances, along with housing instability were noted. Network visualizations of large clinical datasets traditionally treated as tabular and difficult to manipulate reveal rich, previously hidden connections between data variables related to homelessness. A key feature is the ability to visualize changes in variables with temporality and in proximity to the event of interest. These visualizations lend support to cognitive tasks such as exploration of large clinical datasets as a prelude to hypothesis generation. Published by Elsevier Inc.

Impact of documentation errors on accuracy of cause of death coding in an educational hospital in Southern Iran.

PubMed

Haghighi, Mohammad Hosein Hayavi; Dehghani, Mohammad; Teshnizi, Saeid Hoseini; Mahmoodi, Hamid

2014-01-01

Accurate cause of death coding leads to organised and usable death information but there are some factors that influence documentation on death certificates and therefore affect the coding. We reviewed the role of documentation errors on the accuracy of death coding at Shahid Mohammadi Hospital (SMH), Bandar Abbas, Iran. We studied the death certificates of all deceased patients in SMH from October 2010 to March 2011. Researchers determined and coded the underlying cause of death on the death certificates according to the guidelines issued by the World Health Organization in Volume 2 of the International Statistical Classification of Diseases and Health Related Problems-10th revision (ICD-10). Necessary ICD coding rules (such as the General Principle, Rules 1-3, the modification rules and other instructions about death coding) were applied to select the underlying cause of death on each certificate. Demographic details and documentation errors were then extracted. Data were analysed with descriptive statistics and chi square tests. The accuracy rate of causes of death coding was 51.7%, demonstrating a statistically significant relationship (p=.001) with major errors but not such a relationship with minor errors. Factors that result in poor quality of Cause of Death coding in SMH are lack of coder training, documentation errors and the undesirable structure of death certificates.

Risk of Suicide Attempt in Poststroke Patients: A Population-Based Cohort Study.

PubMed

Harnod, Tomor; Lin, Cheng-Li; Kao, Chia-Hung

2018-01-10

This nationwide population-based cohort study evaluated the risk of and risk factors for suicide attempt in poststroke patients in Taiwan. The poststroke and nonstroke cohorts consisted of 713 690 patients and 1 426 009 controls, respectively. Adults (aged >18 years) who received new stroke diagnoses according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM ; codes 430-438) between 2000 and 2011 were included in the poststroke cohort. We calculated the adjusted hazard ratio for suicide attempt ( ICD-9-CM codes E950-E959) after adjustment for age, sex, monthly income, urbanization level, occupation category, and various comorbidities. Kaplan-Meier analysis was used to measure the cumulative incidence of suicide attempt, and the Fine and Gray method was used as a competing event when estimating death subhazard ratios and 95% confidence intervals between groups. The cumulative incidence of suicide attempt was higher in the poststroke cohort, and the adjusted hazard ratio of suicide attempt was 2.20 (95% confidence interval, 2.04-2.37) compared with that of the controls. The leading risk factors for poststroke suicide attempt were earning low monthly income (<660 US dollars), living in less urbanized regions, doing manual labor, and having a stroke before age 50 years. The attempted suicide risk did not differ significantly between male and female patients in this study. These results convey crucial information to clinicians and governments for preventing suicide attempt in poststroke patients in Taiwan and other Asian countries. © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Shoulder Arthroplasty for Humeral Head Avascular Necrosis Is Associated With Increased Postoperative Complications.

PubMed

Burrus, M Tyrrell; Cancienne, Jourdan M; Boatright, Jeffrey D; Yang, Scott; Brockmeier, Stephen F; Werner, Brian C

2018-02-01

Humeral head avascular necrosis (AVN) of differing etiologies may lead to shoulder arthroplasty due to subchondral bone collapse and deformity of the articular surface. There have been no large studies evaluating the complications for these patients after they undergo total shoulder arthroplasty (TSA). The first objective of this study is to evaluate the complication rate after TSA in patients with humeral head AVN. The secondary objective is to compare the complication rates among the different etiologies of the AVN. Patients who underwent TSA were identified in the PearlDiver database using ICD-9 codes. Patients who underwent shoulder arthroplasty for humeral head AVN were identified using ICD-9 codes and were subclassified according to AVN etiology (posttraumatic, alcohol use, chronic steroid use, and idiopathic). Complications evaluated included postoperative infection within 6 months, dislocation within 1 year, revision shoulder arthroplasty up to 8 years postoperatively, shoulder stiffness within 1 year, and periprosthetic fracture within 1 year and systemic complications within 3 months. Postoperative complication rates were compared to controls. The study cohorts included 4129 TSA patients with AVN with 141,778 control TSA patients. Patients with posttraumatic AVN were significantly more likely to have a postoperative infection (OR 2.47, P  < 0.001), dislocation (OR 1.45, P  = 0.029), revision surgery (OR 1.53, P  = 0.001), stiffness (OR 1.24, P  = 0.042), and systemic complication (OR 1.49, P  < 0.001). Steroid-associated AVN was associated with a significantly increased risk for a postoperative infection (OR 1.72, P  = 0.004), revision surgery (OR 1.33, P  = 0.040), fracture (OR 2.76, P  = 0.002), and systemic complication (OR 1.59, P  < 0.001). Idiopathic and alcohol-associated AVN were not significantly associated with any of the postoperative evaluated complications. TSA in patients with humeral head AVN is associated with significantly increased rates of numerous postoperative complications compared to patients without a diagnosis of AVN, including infection, dislocation, revision arthroplasty, stiffness, periprosthetic fracture, and medical complications. Specifically, AVN due to steroid use or from a posttraumatic cause appears to be associated with the statistically highest rates of postoperative TSA complications. Given these findings, orthopedic surgeons should be increasingly aware of this association, which should influence the shared decision-making process of undergoing TSA in patients with humeral head AVN.

Can poison control data be used for pharmaceutical poisoning surveillance?

PubMed

Naun, Christopher A; Olsen, Cody S; Dean, J Michael; Olson, Lenora M; Cook, Lawrence J; Keenan, Heather T

2011-05-01

To determine the association between the frequencies of pharmaceutical exposures reported to a poison control center (PCC) and those seen in the emergency department (ED). A statewide population-based retrospective comparison of frequencies of ED pharmaceutical poisonings with frequencies of pharmaceutical exposures reported to a regional PCC. ED poisonings, identified by International Classification of Diseases, Version 9 (ICD-9) codes, were grouped into substance categories. Using a reproducible algorithm facilitated by probabilistic linkage, codes from the PCC classification system were mapped into the same categories. A readily identifiable subset of PCC calls was selected for comparison. Correlations between frequencies of quarterly exposures by substance categories were calculated using Pearson correlation coefficients and partial correlation coefficients with adjustment for seasonality. PCC reported exposures correlated with ED poisonings in nine of 10 categories. Partial correlation coefficients (r(p)) indicated strong associations (r(p)>0.8) for three substance categories that underwent large changes in their incidences (opiates, benzodiazepines, and muscle relaxants). Six substance categories were moderately correlated (r(p)>0.6). One category, salicylates, showed no association. Limitations Imperfect overlap between ICD-9 and PCC codes may have led to miscategorization. Substances without changes in exposure frequency have inadequate variability to detect association using this method. PCC data are able to effectively identify trends in poisonings seen in EDs and may be useful as part of a pharmaceutical poisoning surveillance system. The authors developed an algorithm-driven technique for mapping American Association of Poison Control Centers codes to ICD-9 codes and identified a useful subset of poison control exposures for analysis.

[An update of the diagnostic coding system by the Spanish Society of Pediatric Emergencies].

PubMed

Benito Fernández, J; Luaces Cubells, C; Gelabert Colomé, G; Anso Borda, I

2015-06-01

The Quality Working Group of the Spanish Society of Pediatric Emergencies (SEUP) presents an update of the diagnostic coding list. The original list was prepared and published in Anales de Pediatría in 2000, being based on the International Coding system ICD-9-CM current at that time. Following the same methodology used at that time and based on the 2014 edition of the ICD-9-CM, 35 new codes have been added to the list, 15 have been updated, and a list of the most frequent references to trauma diagnoses in pediatrics have been provided. In the current list of diagnoses, SEUP reflects the significant changes that have taken place in Pediatric Emergency Services in the last decade. Copyright © 2014 Asociación Española de Pediatría. Published by Elsevier España, S.L.U. All rights reserved.

Radiographic Prevalence of Femoroacetabular Impingement in a Young Population with Hip Complaints Is High

DTIC Science & Technology

2010-01-27

Sciatica 724.3 Abnormality of gait 781.2 ICD-9 = International Classification of Diseases, 9th Revision; NOS = not otherwise specified. Volume 468, Number...the patients were not considered in our analysis, specifically diagnoses such as sacroiliitis or sciatica , in which clinical symptoms may not be

DSM-IV, DSM-5, and ICD-11: Identifying children with posttraumatic stress disorder after disasters.

PubMed

Danzi, BreAnne A; La Greca, Annette M

2016-12-01

Different criteria for diagnosing posttraumatic stress disorder (PTSD) have been recommended by the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the proposed 11th edition of the International Classification of Diseases (ICD-11). Although children are vulnerable to PTSD following disasters, little is known about whether these revised criteria are appropriate for preadolescents, as diagnostic revisions have been based primarily on adult research. This study investigated rates of PTSD using DSM-IV, DSM-5, and ICD-11 diagnostic criteria, and their associations with symptom severity, impairment, and PTSD risk factors. Children (7-11 years) exposed to Hurricanes Ike (n = 327) or Charley (n = 383) completed measures 8-9 months postdisaster. Using diagnostic algorithms for DSM-IV, DSM-5, and ICD-11, rates of 'probable' PTSD were calculated. Across samples, rates of PTSD were similar. However, there was low agreement across the diagnostic systems, with about a third overlap in identified cases. Children identified only by ICD-11 had higher 'core' symptom severity but lower impairment than children identified only by DSM-IV or DSM-5. ICD-11 was associated with more established risk factors for PTSD than was DSM-5. Findings revealed differences in PTSD diagnosis across major diagnostic systems for preadolescent children, with no clear advantage to any one system. Further research on developmentally sensitive PTSD criteria for preadolescent children is needed. © 2016 Association for Child and Adolescent Mental Health.

The Incidence of Deep Vein Thrombosis in Asian Patients With Chronic Obstructive Pulmonary Disease.

PubMed

Chen, Chung-Yu; Liao, Kuang-Ming

2015-11-01

Most studies have focused on the prevalence of deep vein thrombosis (DVT) and pulmonary embolism in patients with chronic obstructive pulmonary disease (COPD) and acute exacerbation in Caucasian populations. DVT is supposedly less likely to occur among Asians than Caucasians, and the primary purpose of this study was to determine the actual incidence of DVT in patients with COPD in Asian populations.We enrolled patients over the age of 40 with a diagnosis of COPD (International Classification of Diseases, Ninth Revision [ICD-9]: 490-492, 496; A-code: A323 and A325) between 1998 and 2008. The index date was the date of first-time COPD diagnosis. We excluded the patients who had been diagnosed with COPD and DVT (The International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM]: 453.8) before index date. The control group was frequency-matched according to age (3-year stratum), sex, and the year of admission, at a 2:1 ratio. Patients were followed from index date to when either a diagnosis of DVT was made, death occurred, December 31, 2009 was reached, or when the patients withdrew from the National Health Insurance program.The overall incidence rate of DVT was 18.78 per 10,000 person-years in patients with COPD, and the adjusted hazard ration of DVT in patients with COPD was 1.38 (95% confidence interval 1.06-1.80), which was greater than patients without COPD after adjusting for age, sex, atrial fibrillation, hypertension, diabetes, hyperlipidemia, cerebrovascular accident, congestive heart failure, lower leg fracture or surgery, and cancer.Asian patients with COPD had a higher incidence of DVT than non-COPD patients.

Malnutrition coding 101: financial impact and more.

PubMed

Giannopoulos, Georgia A; Merriman, Louise R; Rumsey, Alissa; Zwiebel, Douglas S

2013-12-01

Recent articles have addressed the characteristics associated with adult malnutrition as published by the Academy of Nutrition and Dietetics (the Academy) and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). This article describes a successful interdisciplinary program developed by the Department of Food and Nutrition at New York-Presbyterian Hospital to maintain and monitor clinical documentation, ensure accurate International Classification of Diseases 9th Edition (ICD-9) coding, and identify subsequent incremental revenue resulting from the early identification, documentation, and treatment of malnutrition in an adult inpatient population. The first step in the process requires registered dietitians to identify patients with malnutrition; then clear and specifically worded diagnostic statements that include the type and severity of malnutrition are documented in the medical record by the physician, nurse practitioner, or physician's assistant. This protocol allows the Heath Information Management/Coding department to accurately assign ICD-9 codes associated with protein-energy malnutrition. Once clinical coding is complete, a final diagnosis related group (DRG) is generated to ensure appropriate hospital reimbursement. Successful interdisciplinary programs such as this can drive optimal care and ensure appropriate reimbursement.

Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations.

PubMed

Khokhar, Bushra; Jette, Nathalie; Metcalfe, Amy; Cunningham, Ceara Tess; Quan, Hude; Kaplan, Gilaad G; Butalia, Sonia; Rabi, Doreen

2016-08-05

With steady increases in 'big data' and data analytics over the past two decades, administrative health databases have become more accessible and are now used regularly for diabetes surveillance. The objective of this study is to systematically review validated International Classification of Diseases (ICD)-based case definitions for diabetes in the adult population. Electronic databases, MEDLINE and Embase, were searched for validation studies where an administrative case definition (using ICD codes) for diabetes in adults was validated against a reference and statistical measures of the performance reported. The search yielded 2895 abstracts, and of the 193 potentially relevant studies, 16 met criteria. Diabetes definition for adults varied by data source, including physician claims (sensitivity ranged from 26.9% to 97%, specificity ranged from 94.3% to 99.4%, positive predictive value (PPV) ranged from 71.4% to 96.2%, negative predictive value (NPV) ranged from 95% to 99.6% and κ ranged from 0.8 to 0.9), hospital discharge data (sensitivity ranged from 59.1% to 92.6%, specificity ranged from 95.5% to 99%, PPV ranged from 62.5% to 96%, NPV ranged from 90.8% to 99% and κ ranged from 0.6 to 0.9) and a combination of both (sensitivity ranged from 57% to 95.6%, specificity ranged from 88% to 98.5%, PPV ranged from 54% to 80%, NPV ranged from 98% to 99.6% and κ ranged from 0.7 to 0.8). Overall, administrative health databases are useful for undertaking diabetes surveillance, but an awareness of the variation in performance being affected by case definition is essential. The performance characteristics of these case definitions depend on the variations in the definition of primary diagnosis in ICD-coded discharge data and/or the methodology adopted by the healthcare facility to extract information from patient records. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Physicians’ Outlook on ICD-10-CM/PCS and Its Effect on Their Practice

PubMed Central

Watzlaf, Valerie; Alkarwi, Zahraa; Meyers, Sandy; Sheridan, Patty

2015-01-01

Background The United States is one of the last countries to change from ICD-9-CM to ICD-10-CM/PCS. The compliance date for implementation of ICD-10-CM/PCS is expected to fall on October 1, 2015. Objectives Evaluate physicians’ perceptions on the change from ICD-9-CM to ICD-10-CM/PCS and its effect on their practice, determine how HIM professionals can assist in this transition, and assess what resources are needed to aid in the transition. Results Twenty physicians were asked to participate in one of three focus groups. Twelve physicians (60 percent) agreed to participate. Top concerns included electronic health record software readiness, increase in documentation specificity and time, ability of healthcare professionals to learn a new language, and inadequacy of current training methods and content. Conclusion Physicians expressed that advantages of ICD-10-CM/PCS were effective data analytics and complexity of patient cases with more specific codes. Health information management professionals were touted as needed during the transition to create simple, clear specialty guides and crosswalks as well as education and training tools specific for physicians. PMID:26807074

Epidemiology and sociodemographics of systemic lupus erythematosus and lupus nephritis among US adults with Medicaid coverage, 2000-2004.

PubMed

Feldman, Candace H; Hiraki, Linda T; Liu, Jun; Fischer, Michael A; Solomon, Daniel H; Alarcón, Graciela S; Winkelmayer, Wolfgang C; Costenbader, Karen H

2013-03-01

Systemic lupus erythematosus (SLE) and lupus nephritis (LN) disproportionately affect individuals who are members of racial/ethnic minority groups and individuals of lower socioeconomic status (SES). This study was undertaken to investigate the epidemiology and sociodemographics of SLE and LN in the low-income US Medicaid population. We utilized Medicaid Analytic eXtract data, with billing claims from 47 states and Washington, DC, for 23.9 million individuals ages 18-65 years who were enrolled in Medicaid for >3 months in 2000-2004. Individuals with SLE (≥3 visits >30 days apart with an International Classification of Diseases, Ninth Revision [ICD-9] code of 710.0) and with LN (≥2 visits with an ICD-9 code for glomerulonephritis, proteinuria, or renal failure) were identified. We calculated SLE and LN prevalence and incidence, stratified by sociodemographic category, and adjusted for number of American College of Rheumatology (ACR) member rheumatologists in the state and SES using a validated composite of US Census variables. We identified 34,339 individuals with SLE (prevalence 143.7 per 100,000) and 7,388 (21.5%) with LN (prevalence 30.9 per 100,000). SLE prevalence was 6 times higher among women, nearly double in African American compared to white women, and highest in the US South. LN prevalence was higher among all racial/ethnic minority groups compared to whites. The areas with lowest SES had the highest prevalence; areas with the fewest ACR rheumatologists had the lowest prevalence. SLE incidence was 23.2 per 100,000 person-years and LN incidence was 6.9 per 100,000 person-years, with similar sociodemographic trends. In this nationwide Medicaid population, there was sociodemographic variation in SLE and LN prevalence and incidence. Understanding the increased burden of SLE and its complications in this low-income population has implications for resource allocation and access to subspecialty care. Copyright © 2013 by the American College of Rheumatology.

Prevalence of Prescription Opioid Misuse/Abuse as Determined by International Classification of Diseases Codes: A Systematic Review.

PubMed

Roland, Carl L; Lake, Joanita; Oderda, Gary M

2016-12-01

We conducted a systematic review to evaluate worldwide human English published literature from 2009 to 2014 on prevalence of opioid misuse/abuse in retrospective databases where International Classification of Diseases (ICD) codes were used. Inclusion criteria for the studies were use of a retrospective database, measured abuse, dependence, and/or poisoning using ICD codes, stated prevalence or it could be derived, and documented time frame. A meta-analysis was not performed. A qualitative narrative synthesis was used, and 16 studies were included for data abstraction. ICD code use varies; 10 studies used ICD codes that encompassed all three terms: abuse, dependence, or poisoning. Eight studies limited determination of misuse/abuse to an opioid user population. Abuse prevalence among opioid users in commercial databases using all three terms of ICD codes varied depending on the opioid; 21 per 1000 persons (reformulated extended-release oxymorphone; 2011-2012) to 113 per 1000 persons (immediate-release opioids; 2010-2011). Abuse prevalence in general populations using all three ICD code terms ranged from 1.15 per 1000 persons (commercial; 6 months 2010) to 8.7 per 1000 persons (Medicaid; 2002-2003). Prevalence increased over time. When similar ICD codes are used, the highest prevalence is in US government-insured populations. Limiting population to continuous opioid users increases prevalence. Prevalence varies depending on ICD codes used, population, time frame, and years studied. Researchers using ICD codes to determine opioid abuse prevalence need to be aware of cautions and limitations.

Natural language processing of clinical notes for identification of critical limb ischemia.

PubMed

Afzal, Naveed; Mallipeddi, Vishnu Priya; Sohn, Sunghwan; Liu, Hongfang; Chaudhry, Rajeev; Scott, Christopher G; Kullo, Iftikhar J; Arruda-Olson, Adelaide M

2018-03-01

Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PAD) with diagnosis based on the presence of clinical signs and symptoms. However, automated identification of cases from electronic health records (EHRs) is challenging due to absence of a single definitive International Classification of Diseases (ICD-9 or ICD-10) code for CLI. In this study, we extend a previously validated natural language processing (NLP) algorithm for PAD identification to develop and validate a subphenotyping NLP algorithm (CLI-NLP) for identification of CLI cases from clinical notes. We compared performance of the CLI-NLP algorithm with CLI-related ICD-9 billing codes. The gold standard for validation was human abstraction of clinical notes from EHRs. Compared to billing codes the CLI-NLP algorithm had higher positive predictive value (PPV) (CLI-NLP 96%, billing codes 67%, p < 0.001), specificity (CLI-NLP 98%, billing codes 74%, p < 0.001) and F1-score (CLI-NLP 90%, billing codes 76%, p < 0.001). The sensitivity of these two methods was similar (CLI-NLP 84%; billing codes 88%; p < 0.12). The CLI-NLP algorithm for identification of CLI from narrative clinical notes in an EHR had excellent PPV and has potential for translation to patient care as it will enable automated identification of CLI cases for quality projects, clinical decision support tools and support a learning healthcare system. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Clinical coding of prospectively identified paediatric adverse drug reactions--a retrospective review of patient records.

PubMed

Bellis, Jennifer R; Kirkham, Jamie J; Nunn, Anthony J; Pirmohamed, Munir

2014-12-17

National Health Service (NHS) hospitals in the UK use a system of coding for patient episodes. The coding system used is the International Classification of Disease (ICD-10). There are ICD-10 codes which may be associated with adverse drug reactions (ADRs) and there is a possibility of using these codes for ADR surveillance. This study aimed to determine whether ADRs prospectively identified in children admitted to a paediatric hospital were coded appropriately using ICD-10. The electronic admission abstract for each patient with at least one ADR was reviewed. A record was made of whether the ADR(s) had been coded using ICD-10. Of 241 ADRs, 76 (31.5%) were coded using at least one ICD-10 ADR code. Of the oncology ADRs, 70/115 (61%) were coded using an ICD-10 ADR code compared with 6/126 (4.8%) non-oncology ADRs (difference in proportions 56%, 95% CI 46.2% to 65.8%; p < 0.001). The majority of ADRs detected in a prospective study at a paediatric centre would not have been identified if the study had relied on ICD-10 codes as a single means of detection. Data derived from administrative healthcare databases are not reliable for identifying ADRs by themselves, but may complement other methods of detection.

Validation of ICDPIC software injury severity scores using a large regional trauma registry.

PubMed

Greene, Nathaniel H; Kernic, Mary A; Vavilala, Monica S; Rivara, Frederick P

2015-10-01

Administrative or quality improvement registries may or may not contain the elements needed for investigations by trauma researchers. International Classification of Diseases Program for Injury Categorisation (ICDPIC), a statistical program available through Stata, is a powerful tool that can extract injury severity scores from ICD-9-CM codes. We conducted a validation study for use of the ICDPIC in trauma research. We conducted a retrospective cohort validation study of 40,418 patients with injury using a large regional trauma registry. ICDPIC-generated AIS scores for each body region were compared with trauma registry AIS scores (gold standard) in adult and paediatric populations. A separate analysis was conducted among patients with traumatic brain injury (TBI) comparing the ICDPIC tool with ICD-9-CM embedded severity codes. Performance in characterising overall injury severity, by the ISS, was also assessed. The ICDPIC tool generated substantial correlations in thoracic and abdominal trauma (weighted κ 0.87-0.92), and in head and neck trauma (weighted κ 0.76-0.83). The ICDPIC tool captured TBI severity better than ICD-9-CM code embedded severity and offered the advantage of generating a severity value for every patient (rather than having missing data). Its ability to produce an accurate severity score was consistent within each body region as well as overall. The ICDPIC tool performs well in classifying injury severity and is superior to ICD-9-CM embedded severity for TBI. Use of ICDPIC demonstrates substantial efficiency and may be a preferred tool in determining injury severity for large trauma datasets, provided researchers understand its limitations and take caution when examining smaller trauma datasets. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Administrative Algorithms to identify Avascular necrosis of bone among patients undergoing upper or lower extremity magnetic resonance imaging: a validation study.

PubMed

Barbhaiya, Medha; Dong, Yan; Sparks, Jeffrey A; Losina, Elena; Costenbader, Karen H; Katz, Jeffrey N

2017-06-19

Studies of the epidemiology and outcomes of avascular necrosis (AVN) require accurate case-finding methods. The aim of this study was to evaluate performance characteristics of a claims-based algorithm designed to identify AVN cases in administrative data. Using a centralized patient registry from a US academic medical center, we identified all adults aged ≥18 years who underwent magnetic resonance imaging (MRI) of an upper/lower extremity joint during the 1.5 year study period. A radiologist report confirming AVN on MRI served as the gold standard. We examined the sensitivity, specificity, positive predictive value (PPV) and positive likelihood ratio (LR + ) of four algorithms (A-D) using International Classification of Diseases, 9th edition (ICD-9) codes for AVN. The algorithms ranged from least stringent (Algorithm A, requiring ≥1 ICD-9 code for AVN [733.4X]) to most stringent (Algorithm D, requiring ≥3 ICD-9 codes, each at least 30 days apart). Among 8200 patients who underwent MRI, 83 (1.0% [95% CI 0.78-1.22]) had AVN by gold standard. Algorithm A yielded the highest sensitivity (81.9%, 95% CI 72.0-89.5), with PPV of 66.0% (95% CI 56.0-75.1). The PPV of algorithm D increased to 82.2% (95% CI 67.9-92.0), although sensitivity decreased to 44.6% (95% CI 33.7-55.9). All four algorithms had specificities >99%. An algorithm that uses a single billing code to screen for AVN among those who had MRI has the highest sensitivity and is best suited for studies in which further medical record review confirming AVN is feasible. Algorithms using multiple billing codes are recommended for use in administrative databases when further AVN validation is not feasible.

Performance of International Classification of Diseases-based injury severity measures used to predict in-hospital mortality: A systematic review and meta-analysis.

PubMed

Gagné, Mathieu; Moore, Lynne; Beaudoin, Claudia; Batomen Kuimi, Brice Lionel; Sirois, Marie-Josée

2016-03-01

The International Classification of Diseases (ICD) is the main classification system used for population-based injury surveillance activities but does not contain information on injury severity. ICD-based injury severity measures can be empirically derived or mapped, but no single approach has been formally recommended. This study aimed to compare the performance of ICD-based injury severity measures to predict in-hospital mortality among injury-related admissions. A systematic review and a meta-analysis were conducted. MEDLINE, EMBASE, and Global Health databases were searched from their inception through September 2014. Observational studies that assessed the performance of ICD-based injury severity measures to predict in-hospital mortality and reported discriminative ability using the area under a receiver operating characteristic curve (AUC) were included. Metrics of model performance were extracted. Pooled AUC were estimated under random-effects models. Twenty-two eligible studies reported 72 assessments of discrimination on ICD-based injury severity measures. Reported AUC ranged from 0.681 to 0.958. Of the 72 assessments, 46 showed excellent (0.80 ≤ AUC < 0.90) and 6 outstanding (AUC ≥ 0.90) discriminative ability. Pooled AUC for ICD-based Injury Severity Score (ICISS) based on the product of traditional survival proportions was significantly higher than measures based on ICD mapped to Abbreviated Injury Scale (AIS) scores (0.863 vs. 0.825 for ICDMAP-ISS [p = 0.005] and ICDMAP-NISS [p = 0.016]). Similar results were observed when studies were stratified by the type of data used (trauma registry or hospital discharge) or the provenance of survival proportions (internally or externally derived). However, among studies published after 2003 the Trauma Mortality Prediction Model based on ICD-9 codes (TMPM-9) demonstrated superior discriminative ability than ICISS using the product of traditional survival proportions (0.850 vs. 0.802, p = 0.002). Models generally showed poor calibration. ICISS using the product of traditional survival proportions and TMPM-9 predict mortality more accurately than those mapped to AIS codes and should be preferred for describing injury severity when ICD is used to record injury diagnoses. Systematic review and meta-analysis, level III.

Identifying and Managing Environmental Health Threats in the AOR

DTIC Science & Technology

2011-01-24

Considered over 150 ICD-9s, including respiratory/cardiovascular disease, sleep apnea , rheumatoid arthritis, lupus, birth defects 2011 MHS Conference 16...Soil S a m p l e s C o l l e c t e d Type of Media 2003 2004 2005 2006 2007 2008 2009 2010 2011 MHS Conference 5 5 Death, incapacitating, or...longitudinal exposure records in the new Electronic Health Record – ICD 9 CODES 800-899 Injury and Poisoning • 980-989 Toxic Effects Of Substances

Lower urinary tract dysfunction in male Iraq and Afghanistan war veterans: association with mental health disorders: a population-based cohort study.

PubMed

Breyer, Benjamin N; Cohen, Beth E; Bertenthal, Daniel; Rosen, Raymond C; Neylan, Thomas C; Seal, Karen H

2014-02-01

To determine the prevalence and correlates of lower urinary tract symptoms (LUTS) among returned Iraq and Afghanistan veterans; in particular its association with mental health diagnoses and medication use. We performed a retrospective cohort study of Iraq and Afghanistan veterans who were new users of U.S. Department of Veterans Affairs health care. Mental health diagnoses were defined by International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) codes from medical records. LUTS was defined by ICD-9-CM code, use of prescription medication for LUTS, or procedure for LUTS. We determined the independent association of mental health diagnoses and LUTS after adjusting for sociodemographic and military service characteristics, comorbidities, and medications. Of 519,189 veterans, 88% were men and the mean age was 31.8 years (standard deviation ± 9.3). The overall prevalence of LUTS was 2.2% (11,237/519,189). Veterans with post-traumatic stress disorder (PTSD) were significantly more likely to have a LUTS diagnosis, prescription, or related procedure (3.5%) compared with veterans with no mental health diagnoses (1.3%) or a mental health diagnosis other than PTSD (3.1%, P <.001). In adjusted models, LUTS was significantly more common in veterans with PTSD with and without other mental health disorders vs those without mental health disorders (adjusted relative risk [ARR] = 2.04, 95% confidence interval [CI] = 1.94-2.15) and in veterans prescribed opioids (ARR = 2.46, 95% CI = 2.36-2.56). In this study of young returned veterans, mental health diagnoses and prescription for opioids were independently associated with increased risk of receiving a diagnosis, treatment, or procedure for LUTS. Provider awareness may improve the detection and treatment of LUTS, and improve patient care and quality of life. Copyright © 2014. Published by Elsevier Inc.

Training and support to improve ICD coding quality: A controlled before-and-after impact evaluation.

PubMed

Dyers, Robin; Ward, Grant; Du Plooy, Shane; Fourie, Stephanus; Evans, Juliet; Mahomed, Hassan

2017-05-24

The proposed National Health Insurance policy for South Africa (SA) requires hospitals to maintain high-quality International Statistical Classification of Diseases (ICD) codes for patient records. While considerable strides had been made to improve ICD coding coverage by digitising the discharge process in the Western Cape Province, further intervention was required to improve data quality. The aim of this controlled before-and-after study was to evaluate the impact of a clinician training and support initiative to improve ICD coding quality. To compare ICD coding quality between two central hospitals in the Western Cape before and after the implementation of a training and support initiative for clinicians at one of the sites. The difference in differences in data quality between the intervention site and the control site was calculated. Multiple logistic regression was also used to determine the odds of data quality improvement after the intervention and to adjust for potential differences between the groups. The intervention had a positive impact of 38.0% on ICD coding completeness over and above changes that occurred at the control site. Relative to the baseline, patient records at the intervention site had a 6.6 (95% confidence interval 3.5 - 16.2) adjusted odds ratio of having a complete set of ICD codes for an admission episode after the introduction of the training and support package. The findings on impact on ICD coding accuracy were not significant. There is sufficient pragmatic evidence that a training and support package will have a considerable positive impact on ICD coding completeness in the SA setting.

Updating Allergy and/or Hypersensitivity Diagnostic Procedures in the WHO ICD-11 Revision.

PubMed

Tanno, Luciana Kase; Calderon, Moises A; Li, James; Casale, Thomas; Demoly, Pascal

2016-01-01

The classification of allergy and/or hypersensitivity conditions for the World Health Organization (WHO) International Classification of Diseases (ICD)-11 provides the appropriate corresponding codes for allergic diseases, assuming that the final diagnosis is correct. This classification should be linked to in vitro and in vivo diagnostic procedures. Considering the impact for our specialty, we decided to review the codification of these procedures into the ICD aiming to have a baseline and to suggest changes and/or submit new proposals. For that, we prepared a list of the relevant allergy and/or hypersensitivity diagnostic procedures that health care professionals are dealing with on a daily basis. This was based on the main current guidelines and selected all possible and relevant corresponding terms from the ICD-10 (2015 version) and the ICD-11 β phase foundation (June 2015 version). More than 90% of very specific and important diagnostic procedures currently used by the allergists' community on a daily basis are missing. We observed that some concepts usually used by the allergist community on a daily basis are not fully recognized by other specialties. The whole scheme and the correspondence in the ICD-10 (2015 version) and ICD-11 foundation (June 2015 version) provided us a big picture of the missing or imprecise terms and how they are scattered in the current ICD-11 framework, allowing us to submit new proposals to increase the visibility of the allergy and/or hypersensitivity conditions and diagnostic procedures. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. All rights reserved.

The Prevalence of Parkinson Disease Among Patients With Hepatitis C Infection.

PubMed

Golabi, Pegah; Otgonsuren, Munkhzul; Sayiner, Mehmet; Arsalla, Aimal; Gogoll, Trevor; Younossi, Zobair M

HCV has been suspected to potentially cause degenerations in the central nervous system. Parkinson's disease is the second most common neurodegenerative disorder. Our aim was to assess the prevalence of Parkinson's disease among patients with HCV infection. For this study, we used Medicare database from 2005-2010. Medicare database contains information on enrollment, coverage, diagnosis recorded with International Classification of Disease, Ninth Revision (ICD-9). From combined inpatient and outpatient files, Parkinson's disease was identified as the first diagnosis by ICD-9 code 332.0. Other study variables were; age, gender, race (White and No White), and Medicare eligibility status. Simple distribution comparison by HCV status examined with t-test for numerical variables and ?2 test for categorical variables in the main analytical cohort as well as in the propensity score matched cohort. A total of 1,236,734 patients (median age 76 years, 41% male, and 85% White) was identified among over 47 million claims. Of these, 6040 patients (0.5%) were infected with HCV. Overall, 0.8% (N = 49) of the HCV group and 1.3% (N = 16,004) of the Non-HCV group had Parkinson's disease (P < 0.001). When the study groups matched for age, gender and race, the prevalence of Parkinson's disease was similar between HCV and Non-HCV groups (P > 0.05). This study revealed that, among Medicare population, HCV was not associated with Parkinson disease.

Risk of Sjögren's syndrome in Taiwanese female adults with irregular menstrual cycles: a population-based case-control study.

PubMed

Lu, Ming-Chi; Hsieh, Min-Chih; Koo, Malcolm; Lai, Ning-Sheng

2016-01-01

Primary Sjögren's syndrome (pSS) is a progressive systemic autoimmune disorder with a strong female predominance. Hormonal influences are thought to play a role in the development of pSS. However, no studies have specifically evaluated the association between irregular menstrual cycles and pSS. Therefore, using a health claims database, this study investigated the risk of pSS in women with irregular menstrual cycles. We conducted a case-control study using the Taiwan's National Health Insurance Research Database. A total of 360 patients diagnosed with pSS (International Classification of Diseases, ninth revision, clinical modification, ICD-9-CM code 710.2) between 2001 and 2012 were identified. Controls were frequency-matched at a rate of 5:1 to the cases by five-year age interval and index year. Both cases and controls were retrospectively traced back until 2001 for the diagnosis of irregular menstrual cycles (ICD-9-CM code 626.4). The risk of pSS was assessed using multivariate logistic regression analyses. Irregular menstrual cycles were significantly associated with pSS [adjusted odds ratio, (AOR) = 1.38, p = 0.027], after adjusted for insured amount, urbanization level, and thyroid disorder. In addition, when the data were stratified by three age categories, only the patients in the age category of 45-55 years showed significant association between irregular menstrual cycles and pSS (AOR = 1.74, p = 0.005). In this nationwide, population-based case-control study, we found a significant increased risk of pSS in female patients with irregular menstrual cycles, particularly those in their mid-forties to mid-fifties.

Comparison of Three Information Sources for Smoking Information in Electronic Health Records

PubMed Central

Wang, Liwei; Ruan, Xiaoyang; Yang, Ping; Liu, Hongfang

2016-01-01

OBJECTIVE The primary aim was to compare independent and joint performance of retrieving smoking status through different sources, including narrative text processed by natural language processing (NLP), patient-provided information (PPI), and diagnosis codes (ie, International Classification of Diseases, Ninth Revision [ICD-9]). We also compared the performance of retrieving smoking strength information (ie, heavy/light smoker) from narrative text and PPI. MATERIALS AND METHODS Our study leveraged an existing lung cancer cohort for smoking status, amount, and strength information, which was manually chart-reviewed. On the NLP side, smoking-related electronic medical record (EMR) data were retrieved first. A pattern-based smoking information extraction module was then implemented to extract smoking-related information. After that, heuristic rules were used to obtain smoking status-related information. Smoking information was also obtained from structured data sources based on diagnosis codes and PPI. Sensitivity, specificity, and accuracy were measured using patients with coverage (ie, the proportion of patients whose smoking status/strength can be effectively determined). RESULTS NLP alone has the best overall performance for smoking status extraction (patient coverage: 0.88; sensitivity: 0.97; specificity: 0.70; accuracy: 0.88); combining PPI with NLP further improved patient coverage to 0.96. ICD-9 does not provide additional improvement to NLP and its combination with PPI. For smoking strength, combining NLP with PPI has slight improvement over NLP alone. CONCLUSION These findings suggest that narrative text could serve as a more reliable and comprehensive source for obtaining smoking-related information than structured data sources. PPI, the readily available structured data, could be used as a complementary source for more comprehensive patient coverage. PMID:27980387

Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis.

PubMed

Thomas, Benjamin S; Jafarzadeh, S Reza; Warren, David K; McCormick, Sandra; Fraser, Victoria J; Marschall, Jonas

2015-11-24

Recent reports using administrative claims data suggest the incidence of community- and hospital-onset sepsis is increasing. Whether this reflects changing epidemiology, more effective diagnostic methods, or changes in physician documentation and medical coding practices is unclear. We performed a temporal-trend study from 2008 to 2012 using administrative claims data and patient-level clinical data of adult patients admitted to Barnes-Jewish Hospital in St. Louis, Missouri. Temporal-trend and annual percent change were estimated using regression models with autoregressive integrated moving average errors. We analyzed 62,261 inpatient admissions during the 5-year study period. 'Any SIRS' (i.e., SIRS on a single calendar day during the hospitalization) and 'multi-day SIRS' (i.e., SIRS on 3 or more calendar days), which both use patient-level data, and medical coding for sepsis (i.e., ICD-9-CM discharge diagnosis codes 995.91, 995.92, or 785.52) were present in 35.3 %, 17.3 %, and 3.3 % of admissions, respectively. The incidence of admissions coded for sepsis increased 9.7 % (95 % CI: 6.1, 13.4) per year, while the patient data-defined events of 'any SIRS' decreased by 1.8 % (95 % CI: -3.2, -0.5) and 'multi-day SIRS' did not change significantly over the study period. Clinically-defined sepsis (defined as SIRS plus bacteremia) and severe sepsis (defined as SIRS plus hypotension and bacteremia) decreased at statistically significant rates of 5.7 % (95 % CI: -9.0, -2.4) and 8.6 % (95 % CI: -4.4, -12.6) annually. All-cause mortality, SIRS mortality, and SIRS and clinically-defined sepsis case fatality did not change significantly during the study period. Sepsis mortality, based on ICD-9-CM codes, however, increased by 8.8 % (95 % CI: 1.9, 16.2) annually. The incidence of sepsis, defined by ICD-9-CM codes, and sepsis mortality increased steadily without a concomitant increase in SIRS or clinically-defined sepsis. Our results highlight the need to develop strategies to integrate clinical patient-level data with administrative data to draw more accurate conclusions about the epidemiology of sepsis.

Validity of registration of ICD codes and prescriptions in a research database in Swedish primary care: a cross-sectional study in Skaraborg primary care database

PubMed Central

2010-01-01

Background In recent years, several primary care databases recording information from computerized medical records have been established and used for quality assessment of medical care and research. However, to be useful for research purposes, the data generated routinely from every day practice require registration of high quality. In this study we aimed to investigate (i) the frequency and validity of ICD code and drug prescription registration in the new Skaraborg primary care database (SPCD) and (ii) to investigate the sources of variation in this registration. Methods SPCD contains anonymous electronic medical records (ProfDoc III) automatically retrieved from all 24 public health care centres (HCC) in Skaraborg, Sweden. The frequencies of ICD code registration for the selected diagnoses diabetes mellitus, hypertension and chronic cardiovascular disease and the relevant drug prescriptions in the time period between May 2002 and October 2003 were analysed. The validity of data registration in the SPCD was assessed in a random sample of 50 medical records from each HCC (n = 1200 records) using the medical record text as gold standard. The variance of ICD code registration was studied with multi-level logistic regression analysis and expressed as median odds ratio (MOR). Results For diabetes mellitus and hypertension ICD codes were registered in 80-90% of cases, while for congestive heart failure and ischemic heart disease ICD codes were registered more seldom (60-70%). Drug prescription registration was overall high (88%). A correlation between the frequency of ICD coded visits and the sensitivity of the ICD code registration was found for hypertension and congestive heart failure but not for diabetes or ischemic heart disease. The frequency of ICD code registration varied from 42 to 90% between HCCs, and the greatest variation was found at the physician level (MORPHYSICIAN = 4.2 and MORHCC = 2.3). Conclusions Since the frequency of ICD code registration varies between different diagnoses, each diagnosis must be separately validated. Improved frequency and quality of ICD code registration might be achieved by interventions directed towards the physicians where the greatest amount of variation was found. PMID:20416069

Validity of registration of ICD codes and prescriptions in a research database in Swedish primary care: a cross-sectional study in Skaraborg primary care database.

PubMed

Hjerpe, Per; Merlo, Juan; Ohlsson, Henrik; Bengtsson Boström, Kristina; Lindblad, Ulf

2010-04-23

In recent years, several primary care databases recording information from computerized medical records have been established and used for quality assessment of medical care and research. However, to be useful for research purposes, the data generated routinely from every day practice require registration of high quality. In this study we aimed to investigate (i) the frequency and validity of ICD code and drug prescription registration in the new Skaraborg primary care database (SPCD) and (ii) to investigate the sources of variation in this registration. SPCD contains anonymous electronic medical records (ProfDoc III) automatically retrieved from all 24 public health care centres (HCC) in Skaraborg, Sweden. The frequencies of ICD code registration for the selected diagnoses diabetes mellitus, hypertension and chronic cardiovascular disease and the relevant drug prescriptions in the time period between May 2002 and October 2003 were analysed. The validity of data registration in the SPCD was assessed in a random sample of 50 medical records from each HCC (n = 1200 records) using the medical record text as gold standard. The variance of ICD code registration was studied with multi-level logistic regression analysis and expressed as median odds ratio (MOR). For diabetes mellitus and hypertension ICD codes were registered in 80-90% of cases, while for congestive heart failure and ischemic heart disease ICD codes were registered more seldom (60-70%). Drug prescription registration was overall high (88%). A correlation between the frequency of ICD coded visits and the sensitivity of the ICD code registration was found for hypertension and congestive heart failure but not for diabetes or ischemic heart disease.The frequency of ICD code registration varied from 42 to 90% between HCCs, and the greatest variation was found at the physician level (MORPHYSICIAN = 4.2 and MORHCC = 2.3). Since the frequency of ICD code registration varies between different diagnoses, each diagnosis must be separately validated. Improved frequency and quality of ICD code registration might be achieved by interventions directed towards the physicians where the greatest amount of variation was found.

Costs and compensation of work-related injuries in British Columbia sawmills.

PubMed

Alamgir, Hasanat; Tompa, Emile; Koehoorn, Mieke; Ostry, Aleck; Demers, Paul A

2007-03-01

To estimate the costs of work-related injury in a cohort of sawmill workers in British Columbia from the perspective of the workers' compensation system. Hospital discharge records were extracted from 1989 to 1998 for a cohort of 5786 actively employed sawmill workers. A total of 173 work-related injury cases were identified from these records using the International classification of diseases-ninth revision (ICD-9) external cause of injury codes and the responsibility of payment schedule. Workers' compensation records were extracted and matched with hospital records by dates and ICD-9 diagnosis codes. All costs were converted into 1995 constant Canadian dollars using the Provincial General Consumer Price Index for the non-healthcare costs and Medical Consumer Price Index for the healthcare costs. A 5% discounting rate was applied to adjust for the time value of money. For the uncompensated cases, costs were imputed from the compensated cases using the median cost for a similar nature of injury. 370 hospitalisation events due to injury were captured, and by either of the two indicators (E Codes or payment schedules), 173 (47%) hospitalisation events due to injury, were identified as work related. The median healthcare cost was 4377 dollars and the median non-healthcare cost was 16,559 dollars for a work-related injury. The median non-healthcare and healthcare costs by injury were falls, 19,978 dollars and 5185 dollars; struck by falling object, 32,398 dollars and 8625 dollars; struck against, 12,667 dollars and 5741 dollars; machinery related, 26,480 dollars and 6643 dollars; caught in or between, 24,130 dollars and 4389 dollars; and overexertion, 7801 dollars and 2710 dollars. The total cost was 10,374,115 dollars for non-healthcare and 1,764,137 dollars for healthcare. The compensation agency did not compensate 874,871 dollars (8.4%) of the non-healthcare costs and 200,588 dollars (11.4%) of the healthcare costs. Eliminating avoidable work-related injury events can save valuable resources.

Does skin cancer screening save lives? A detailed analysis of mortality time trends in Schleswig-Holstein and Germany.

PubMed

Stang, Andreas; Jöckel, Karl-Heinz

2016-02-01

After a pilot study on skin cancer screening was performed between 2003 and 2004 in Schleswig-Holstein, Germany, the country implemented what to the authors' knowledge is the first nationwide skin cancer screening program in the world in 2008. The objective of the current study was to provide details regarding mortality trends in Schleswig-Holstein and Germany in relation to the screening. Annual age-standardized mortality rates for skin melanoma (using the 10th Revision of the International Statistical Classification of Diseases and Related Health Problems [ICD-10] code C43) and malignant neoplasms of ill-defined, secondary, and unspecified sites (ICD-10 code C76-C80) were analyzed. The European Standard population was used for age standardization. A bias analysis was performed to estimate the number of skin melanoma deaths that may have been incorrectly counted as ICD-10 code C76-C80 when the skin melanoma mortality declined in Schleswig-Holstein. The observed mortality decline in Schleswig-Holstein 5 years after the pilot study was accompanied by a considerable increase in the number of deaths due to malignant neoplasms of ill-defined, secondary, and unspecified sites (ICD-10 code C76-C80) that is not explainable by an increase in the incidence of these neoplasms. Incorrect assignment of 8 to 35 and 12 to 23 skin melanoma deaths per year among men and women, respectively, as ICD-10 code C76-C80 during 2007 through 2010 could explain the transient skin melanoma mortality decline observed in Schleswig-Holstein. Five years after implementation of the program, the nationwide skin melanoma mortality increased (age-standardized rate change of +0.4 per 100,000 person-years [95% confidence interval, 0.2-0.6] in men and +0.1 per 100,000 person-years [95% confidence interval, -0.1 to 0.2] in women). Although the current analyses raise doubts that the skin cancer screening program in Germany can reduce the skin cancer mortality rate, the authors do not believe the program should be immediately stopped. Further in-depth evaluations are required. Cancer 2016;122:432-437. © 2015 American Cancer Society. © 2015 American Cancer Society.

Measuring diagnoses: ICD code accuracy.

PubMed

O'Malley, Kimberly J; Cook, Karon F; Price, Matt D; Wildes, Kimberly Raiford; Hurdle, John F; Ashton, Carol M

2005-10-01

To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Main error sources along the "patient trajectory" include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the "paper trail" include variance in the electronic and written records, coder training and experience, facility quality-control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways.

Is Hepatitis C Infection Associated With a Higher Risk of Complications After Total Shoulder Arthroplasty?

PubMed

Cancienne, Jourdan M; Dempsey, Ian J; Holzgrefe, Russell E; Brockmeier, Stephen F; Werner, Brian C

2016-12-01

Despite recent advances in the treatment of hepatitis C, it is estimated that nearly 4 million Americans have a chronic form of the disease. Although research in lower-extremity arthroplasty suggests patients with hepatitis C are at risk for increased complications, including postoperative bleeding, acute postoperative infection, and general medical complications, no similar studies have investigated this question in patients undergoing total shoulder arthroplasty (TSA). We asked whether there is an increased risk of postoperative complications after TSA among patients who have hepatitis C, and if so, what complications in particular seem more likely to occur in this population? Patients who underwent TSA, including anatomic or reverse TSA, were identified in the PearlDiver database using ICD-9 procedure codes. This is a for-fee insurance patient-records database that contains more than 100 million individual patient records from 2005 to 2012. The Medicare data in the database are the complete 100% Medicare Standard Analytical File indexed to allow for patient tracking with time. Patients with hepatitis C who underwent shoulder arthroplasty then were identified using ICD-9 codes. Patients with hepatitis B coinfection or HIV were excluded. A control cohort of patients without hepatitis C who underwent TSA was created and matched to the study cohort based on age, sex, obesity, and diabetes mellitus. A total of 1466 patients with hepatitis C and 21,502 control patients were included. The two cohorts were statistically similar in terms of sex (53% females in study and control groups), age (nearly ½ of each cohort younger than 65 years), obesity (approximately 17% of each cohort were obese), diabetes (approximately 40% of each cohort had diabetes), and followup of each cohort occurred throughout the length of the database from 2005 to 2012. Postoperative complications were assessed using ICD-9 and Current Procedural Terminology codes and compared between cohorts. Patients with hepatitis C, when compared with matched control subjects, had greater odds of infection within 3 months (odds ratio [OR], 1.7; 95% CI, 1.1-2.6; p = 0.015), 6 months (OR, 1.7; CI, 1.3-2.4; p = 0.001), and 1 year (OR, 2.1; CI, 1.7-2.7; p < 0.001); revision TSA within 1 year (OR, 1.5; CI, 1.1-2.9; p = 0.008) and 2 years (OR, 1.6; CI, 1.2-2.0; p = 0.001), dislocation within 1 year (OR, 1.6; CI, 1.2-2.2; p < 0.001); postoperative fracture within 1 year (OR, 1.8; CI, 1.2-2.6; p = 0.002); systemic or medical complications within 3 months (OR, 1.3; CI, 1.0-1.6; p = 0.022); and blood transfusion within 3 months (OR, 1.7; CI, 1.4-1.9; p < 0.001). Hepatitis C is associated with an increased risk for complications after TSA, including infection, dislocation, fracture, revision TSA, systemic complications, and blood transfusion compared with matched control subjects. Although this study is able to identify increased odds of complications in patients with hepatitis C, the mechanism by which these occur is likely not solely related to the virus, and is more likely related to a higher degree of case complexity in addition to other postoperative socioeconomic factors. Level III, therapeutic study.

Functioning: the third health indicator in the health system and the key indicator for rehabilitation.

PubMed

Stucki, Gerold; Bickenbach, Jerome

2017-02-01

In this methodological note on applying the ICF in rehabilitation, we introduce functioning as the third health indicator complementing the established indicators mortality and morbidity. Together, these three provide a complete set of indicators for monitoring the performance of health strategies in health systems. When applying functioning as the third health indicator across the five health strategies, it is fundamental to distinguish between biological health and lived health. For rehabilitation, functioning is the key indicator. Since we can now code mortality and morbidity data with the ICD, and functioning data with the ICF, and since given current plans to including functioning properties in the proposed ICD-11 revision, we should in the future be able to report on all three health indicators.

DCU@TRECMed 2012: Using Ad-Hoc Baselines for Domain-Specific Retrieval

DTIC Science & Technology

2012-11-01

description to extend the query, for example: Patients with complicated GERD who receive endoscopy will be extended with Gastroesophageal reflux disease ... Diseases and Related Health Problems, version 9) for the patient’s admission or discharge status [1, 5]; treating negation (e.g. negative test results or...codes were mapped to a description of the code, usually a short phrase/sentence. For instance, the ICD9 code 253.5 corresponds to the disease Diabetes

The discriminatory cost of ICD-10-CM transition between clinical specialties: metrics, case study, and mitigating tools

PubMed Central

Boyd, Andrew D; Li, Jianrong ‘John’; Burton, Mike D; Jonen, Michael; Gardeux, Vincent; Achour, Ikbel; Luo, Roger Q; Zenku, Ilir; Bahroos, Neil; Brown, Stephen B; Vanden Hoek, Terry; Lussier, Yves A

2013-01-01

Objective Applying the science of networks to quantify the discriminatory impact of the ICD-9-CM to ICD-10-CM transition between clinical specialties. Materials and Methods Datasets were the Center for Medicaid and Medicare Services ICD-9-CM to ICD-10-CM mapping files, general equivalence mappings, and statewide Medicaid emergency department billing. Diagnoses were represented as nodes and their mappings as directional relationships. The complex network was synthesized as an aggregate of simpler motifs and tabulation per clinical specialty. Results We identified five mapping motif categories: identity, class-to-subclass, subclass-to-class, convoluted, and no mapping. Convoluted mappings indicate that multiple ICD-9-CM and ICD-10-CM codes share complex, entangled, and non-reciprocal mappings. The proportions of convoluted diagnoses mappings (36% overall) range from 5% (hematology) to 60% (obstetrics and injuries). In a case study of 24 008 patient visits in 217 emergency departments, 27% of the costs are associated with convoluted diagnoses, with ‘abdominal pain’ and ‘gastroenteritis’ accounting for approximately 3.5%. Discussion Previous qualitative studies report that administrators and clinicians are likely to be challenged in understanding and managing their practice because of the ICD-10-CM transition. We substantiate the complexity of this transition with a thorough quantitative summary per clinical specialty, a case study, and the tools to apply this methodology easily to any clinical practice in the form of a web portal and analytic tables. Conclusions Post-transition, successful management of frequent diseases with convoluted mapping network patterns is critical. The http://lussierlab.org/transition-to-ICD10CM web portal provides insight in linking onerous diseases to the ICD-10 transition. PMID:23645552

Diverse definitions of prolonged labour and its consequences with sometimes subsequent inappropriate treatment.

PubMed

Nystedt, Astrid; Hildingsson, Ingegerd

2014-07-16

Prolonged labour very often causes suffering from difficulties that may have lifelong implications. This study aimed to explore the prevalence and treatment of prolonged labour and to compare birth outcome and women's experiences of prolonged and normal labour. Women with spontaneous onset of labour, living in a Swedish county, were recruited two months after birth, to a cross-sectional study. Women (n = 829) completed a questionnaire that investigated socio-demographic and obstetric background, birth outcome and women's feelings and experiences of birth. The prevalence of prolonged labour, as defined by a documented ICD-code and inspection of partogram was calculated. Four groups were identified; women with prolonged labour as identified by documented ICD-codes or by partogram inspection but no ICD-code; women with normal labour augmented with oxytocin or not. Every fifth woman experienced a prolonged labour. The prevalence with the documented ICD-code was (13%) and without ICD-code but positive partogram was (8%). Seven percent of women with prolonged labour were not treated with oxytocin. Approximately one in three women (28%) received oxytocin augmentation despite having no evidence of prolonged labour. The length of labour differed between the four groups of women, from 7 to 23 hours.Women with a prolonged labour had a negative birth experience more often (13%) than did women who had a normal labour (3%) (P <0.00). The factors that contributed most strongly to a negative birth experience in women with prolonged labour were emergency Caesarean section (OR 9.0, 95% CI 1.2-3.0) and to strongly agree with the following statement 'My birth experience made me decide not to have any more children' (OR 41.3, 95% CI 4.9-349.6). The factors that contributed most strongly to a negative birth experience in women with normal labour were less agreement with the statement 'It was exiting to give birth' (OR 0.13, 95% CI 0.34-0.5). There is need for increased clinical skill in identification and classification of prolonged labour, in order to improve care for all women and their experiences of birthing processes regardless whether they experience a prolonged labour or not.

Measuring Diagnoses: ICD Code Accuracy

PubMed Central

O'Malley, Kimberly J; Cook, Karon F; Price, Matt D; Wildes, Kimberly Raiford; Hurdle, John F; Ashton, Carol M

2005-01-01

Objective To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. Data Sources/Study Setting The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. Study Design/Methods We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Principle Findings Main error sources along the “patient trajectory” include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the “paper trail” include variance in the electronic and written records, coder training and experience, facility quality-control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. Conclusions By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways. PMID:16178999

Anxiety-related visits to New Jersey emergency departments after September 11, 2001.

PubMed

Adinaro, David J; Allegra, John R; Cochrane, Dennis G; Cable, Gregory

2008-04-01

The purpose of this study was to examine the effect of September 11, 2001 on anxiety-related visits to selected Emergency Departments (EDs). We performed a retrospective analysis of consecutive patients seen by emergency physicians in 15 New Jersey EDs located within a 50-mile radius of the World Trade Center from July 11 through December 11 in each of 6 years, 1996--2001. We chose by consensus all ICD-9 (International Classification of Diseases, 9th revision) codes related to anxiety. We used graphical methods, Box-Jenkins modeling, and time series regression to determine the effect of September 11 to 14 on daily rates of anxiety-related visits. We found that the daily rate of anxiety-related visits just after September 11th was 93% higher (p < 0.0001) than the average for the remaining 150 days for 2001. This represents, on average, one additional daily visit for anxiety at each ED. We concluded that there was an increase in anxiety-related ED visits after September 11, 2001.

Obsessive compulsive and related disorders: comparing DSM-5 and ICD-11.

PubMed

Marras, Anna; Fineberg, Naomi; Pallanti, Stefano

2016-08-01

Obsessive-compulsive disorder (OCD) has been recognized as mainly characterized by compulsivity rather than anxiety and, therefore, was removed from the anxiety disorders chapter and given its own in both the American Psychiatric Association (APA) Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the Beta Draft Version of the 11th revision of the World Health Organization (WHO) International Classification of Diseases (ICD-11). This revised clustering is based on increasing evidence of common affected neurocircuits between disorders, differently from previous classification systems based on interrater agreement. In this article, we focus on the classification of obsessive-compulsive and related disorders (OCRDs), examining the differences in approach adopted by these 2 nosological systems, with particular attention to the proposed changes in the forthcoming ICD-11. At this stage, notable differences in the ICD classification are emerging from the previous revision, apparently converging toward a reformulation of OCRDs that is closer to the DSM-5.

Influence of primary and secondary prevention indications on anxiety about the implantable cardioverter-defibrillator.

PubMed

Rahmawati, Anita; Chishaki, Akiko; Ohkusa, Tomoko; Sawatari, Hiroyuki; Tsuchihashi-Makaya, Miyuki; Ohtsuka, Yuko; Nakai, Mori; Miyazono, Mami; Hashiguchi, Nobuko; Sakurada, Harumizu; Takemoto, Masao; Mukai, Yasushi; Inoue, Shujirou; Sunagawa, Kenji; Chishaki, Hiroaki

2016-04-01

Implantable cardioverter-defibrillators (ICDs) have been established for primary and secondary prevention of fatal arrhythmias. However, little is known about the influence of ICD indications on quality of life (QOL) and psychological disturbances. This study aimed to examine whether there were differences in QOL and psychological distress in patients that have an ICD for primary or secondary prevention of fatal arrhythmias. A multicenter survey of 179 consecutive outpatients (29.1% primary prevention) with ICD implantations completed the Short Form-8 (SF-8), Beck Depression Inventory (BDI), Impact of Event Scale-Revised (IES-R), State-Trait Anxiety Inventory (STAI), and Worries about ICD (WAICD). Patients with an ICD for primary prevention had a higher trait anxiety score and worries about ICD score than patients with an ICD for secondary prevention (41.7±12.4 vs. 34.7±12.3, p=0.001 and 39.6±18.0 vs. 30.0±18.9, p=0.002, respectively), even after adjusting for demographic and clinical characteristics. In multivariable analysis of variance, primary prevention ICD recipients reported a poorer QOL on the vitality subscale of the SF-8. In our study population, which mostly consisted of New York Heart Association (NYHA) class I and II subjects, primary prevention ICD recipients were more prone to experience worries about their ICD, anxiety, and a poorer QOL compared to secondary prevention ICD recipients. In clinical practice, primary prevention ICD patients should be closely monitored. If warranted, they should be offered psychological intervention, as anxiety and low QOL were predictors of mortality.

Influence of primary and secondary prevention indications on anxiety about the implantable cardioverter-defibrillator

PubMed Central

Rahmawati, Anita; Chishaki, Akiko; Ohkusa, Tomoko; Sawatari, Hiroyuki; Tsuchihashi-Makaya, Miyuki; Ohtsuka, Yuko; Nakai, Mori; Miyazono, Mami; Hashiguchi, Nobuko; Sakurada, Harumizu; Takemoto, Masao; Mukai, Yasushi; Inoue, Shujirou; Sunagawa, Kenji; Chishaki, Hiroaki

2015-01-01

Background Implantable cardioverter-defibrillators (ICDs) have been established for primary and secondary prevention of fatal arrhythmias. However, little is known about the influence of ICD indications on quality of life (QOL) and psychological disturbances. This study aimed to examine whether there were differences in QOL and psychological distress in patients that have an ICD for primary or secondary prevention of fatal arrhythmias. Methods A multicenter survey of 179 consecutive outpatients (29.1% primary prevention) with ICD implantations completed the Short Form-8 (SF-8), Beck Depression Inventory (BDI), Impact of Event Scale-Revised (IES-R), State-Trait Anxiety Inventory (STAI), and Worries about ICD (WAICD). Results Patients with an ICD for primary prevention had a higher trait anxiety score and worries about ICD score than patients with an ICD for secondary prevention (41.7±12.4 vs. 34.7±12.3, p=0.001 and 39.6±18.0 vs. 30.0±18.9, p=0.002, respectively), even after adjusting for demographic and clinical characteristics. In multivariable analysis of variance, primary prevention ICD recipients reported a poorer QOL on the vitality subscale of the SF-8. Conclusions In our study population, which mostly consisted of New York Heart Association (NYHA) class I and II subjects, primary prevention ICD recipients were more prone to experience worries about their ICD, anxiety, and a poorer QOL compared to secondary prevention ICD recipients. In clinical practice, primary prevention ICD patients should be closely monitored. If warranted, they should be offered psychological intervention, as anxiety and low QOL were predictors of mortality. PMID:27092190

Survival in commercially insured multiple sclerosis patients and comparator subjects in the U.S.

PubMed

Kaufman, D W; Reshef, S; Golub, H L; Peucker, M; Corwin, M J; Goodin, D S; Knappertz, V; Pleimes, D; Cutter, G

2014-05-01

Compare survival in patients with multiple sclerosis (MS) from a U.S. commercial health insurance database with a matched cohort of non-MS subjects. 30,402 MS patients and 89,818 non-MS subjects (comparators) in the OptumInsight Research (OIR) database from 1996 to 2009 were included. An MS diagnosis required at least 3 consecutive months of database reporting, with two or more ICD-9 codes of 340 at least 30 days apart, or the combination of 1 ICD-9-340 code and at least 1 MS disease-modifying treatment (DMT) code. Comparators required the absence of ICD-9-340 and DMT codes throughout database reporting. Up to three comparators were matched to each patient for: age in the year of the first relevant code (index year - at least 3 months of reporting in that year were required); sex; region of residence in the index year. Deaths were ascertained from the National Death Index and the Social Security Administration Death Master File. Subjects not identified as deceased were assumed to be alive through the end of 2009. Annual mortality rates were 899/100,000 among MS patients and 446/100,000 among comparators. Standardized mortality ratios compared to the U.S. population were 1.70 and 0.80, respectively. Kaplan-Meier analysis yielded a median survival from birth that was 6 years lower among MS patients than among comparators. The results show, for the first time in a U.S. population, a survival disadvantage for contemporary MS patients compared to non-MS subjects from the same healthcare system. The 6-year decrement in lifespan parallels a recent report from British Columbia. Copyright © 2013 Elsevier B.V. All rights reserved.

Assessment of the impact of the change from manual to automated coding on mortality statistics in Australia.

PubMed

McKenzie, Kirsten; Walker, Sue; Tong, Shilu

It remains unclear whether the change from a manual to an automated coding system (ACS) for deaths has significantly affected the consistency of Australian mortality data. The underlying causes of 34,000 deaths registered in 1997 in Australia were dual coded, in ICD-9 manually, and by using an automated computer coding program. The diseases most affected by the change from manual to ACS were senile/presenile dementia, and pneumonia. The most common disease to which a manually assigned underlying cause of senile dementia was coded with ACS was unspecified psychoses (37.2%). Only 12.5% of codes assigned by ACS as senile dementia were coded the same by manual coders. This study indicates some important differences in mortality rates when comparing mortality data that have been coded manually with those coded using an automated computer coding program. These differences may be related to both the different interpretation of ICD coding rules between manual and automated coding, and different co-morbidities or co-existing conditions among demographic groups.

Analysis of Shahid Rajaee hospital administrative data on injuries resulting from car accidents in Shiraz, Iran: 2011-2014 data.

PubMed

Yadollahi, Mahnaz; Ghiassee, Aida; Anvar, Mehrdad; Ghaem, Hale; Farahmand, Mohammad

2017-02-01

The administrative data from trauma centers could serve as potential sources of invaluable information while studying epidemiologic features of car accidents. In this cross-sectional analysis of Shahid Rajaee hospital administrative data, we aimed to evaluate patients injured in car accidents in terms of age, gender, injury severity, injured body regions and hospitalization outcome in the recent four years (2011-2014). The hospital registry was accessed at Shiraz Trauma Research Center (Shiraz, Iran) and the admission's unit data were merged with the information gathered upon discharge. A total number of 27,222 car accident patients aged over 15 years with International Classification of Diseases 10th revision (ICD-10) external causes of injury codes (V40.9-V49.9) were analyzed. Injury severity score and injured body regions were determined based on converting ICD-10 injury codes to Abbreviated Injury Scale (AIS-98) severity codes using a domestically developed electronic algorithm. A binary logistic regression model was applied to the data to examine the contribution of all independent variables to in-hospital mortality. Men accounted for 68.9% of the injuries and the male to female ratio was 2.2:1. The age of the studied population was (34 ± 15) years, with more than 77.2% of the population located in the 15-45 years old age group. Head and neck was the most commonly injured body region (39.0%) followed by extremities (27.2%). Injury severity score (ISS) was calculated for 13,152 (48.3%) patients, of whom, 80.9% had severity scores less than 9. There were 332 patients (1.2%) admitted to the intensive care units and 422 in-hospital fatalities (1.5%) were recorded during the study period. Age above 65 years [OR = 7.4, 95% CI (5.0-10.9)], ISS above 16 [OR = 9.1, 95% CI (5.5-14.9)], sustaining a thoracic injury [OR = 7.4, 95% CI (4.6-11.9)] and head injury [OR = 4.9, 95% CI (3.1-7.6)] were the most important independent predictors of death following car accidents. Hospital administrative databases of this hospital could be used as reliable sources of information in providing epidemiologic reports of car accidents in terms of severity and outcomes. Improving the quality of recordings at hospital databases is an important initial step towards more comprehensive injury surveillance in Fars, Iran. Copyright © 2017. Production and hosting by Elsevier B.V.

Gender disparities in quality of life and psychological disturbance in patients with implantable cardioverter-defibrillators.

PubMed

Rahmawati, Anita; Chishaki, Akiko; Sawatari, Hiroyuki; Tsuchihashi-Makaya, Miyuki; Ohtsuka, Yuko; Nakai, Mori; Miyazono, Mami; Hashiguchi, Nobuko; Sakurada, Harumizu; Takemoto, Masao; Mukai, Yasushi; Inoue, Shujiro; Sunagawa, Kenji; Chishaki, Hiroaki

2013-01-01

Implantable cardioverter-defibrillator (ICD) has improved prognosis in fatal arrhythmia and the number of ICD implantations has increased. ICD-related psychological problems and impaired quality of life (QOL), however, have been observed. This study examined whether gender differences exist in QOL and psychological disturbances in ICD patients. Consecutive outpatients (n=179; mean age, 60.5±15.9 years; 81% male) with ICD implantations completed questionnaires consisting of the Short Form-8 (SF-8), Beck Depression Inventory, Impact of Event Scale-Revised (IES-R), State-Trait Anxiety Inventory, and Worries about ICD. One-way multivariate analysis of variance (MANOVA) showed women to have impaired QOL on the role physical functioning (F15,157=4.57, P<0.05) and bodily pain (F15,157=5.26, P<0.05) subscales of the SF-8. More women reported depression (F15,157=5.37, P<0.05) and worry about ICD than men (F15,157=6.62, P<0.05). Moreover, women also had higher IES-R scores indicating post-traumatic stress disorder (PTSD) than men (F15,157=5.87, P<0.05). Women reported poorer QOL on 2 subscales: role physical functioning and bodily pain. There was a significant relationship between gender and depression, worry about ICD, and PTSD, but not for anxiety. Female patients need more psychological interventions following ICD implantation.  

Characteristics of fatal abusive head trauma among children in the USA: 2003-2007: an application of the CDC operational case definition to national vital statistics data.

PubMed

Parks, Sharyn E; Kegler, Scott R; Annest, Joseph L; Mercy, James A

2012-06-01

In March of 2008, an expert panel was convened at the Centers for Disease Control and Prevention to develop code-based case definitions for abusive head trauma (AHT) in children under 5 years of age based on the International Classification of Diseases, 10th Revision (ICD-10) nature and cause of injury codes. This study presents the operational case definition and applies it to US death data. National Center for Health Statistics National Vital Statistics System data on multiple cause-of-death from 2003 to 2007 were examined. Inspection of records with at least one ICD-10 injury/disease code and at least one ICD-10 cause code from the AHT case definition resulted in the identification of 780 fatal AHT cases, with 699 classified as definite/presumptive AHT and 81 classified as probable AHT. The fatal AHT rate was highest among children age <1 year with a peak in incidence that occurred at 1-2 months of age. Fatal AHT incidence rates were higher for men than women and were higher for non-Hispanic African-Americans compared to other racial/ethnic groups. Fatal AHT incidence was relatively constant across seasons. This report demonstrates that the definition can help to identify population subgroups at higher risk for AHT defined by year and month of death, age, sex and race/ethnicity. This type of definition may be useful for various epidemiological applications including research and surveillance. These activities can in turn inform further development of prevention activities, including educating parents about the dangers of shaking and strategies for managing infant crying.

Proposals for Paraphilic Disorders in the International Classification of Diseases and Related Health Problems, Eleventh Revision (ICD-11).

PubMed

Krueger, Richard B; Reed, Geoffrey M; First, Michael B; Marais, Adele; Kismodi, Eszter; Briken, Peer

2017-07-01

The World Health Organization is currently developing the 11th revision of the International Classifications of Diseases and Related Health Problems (ICD-11), with approval of the ICD-11 by the World Health Assembly anticipated in 2018. The Working Group on the Classification of Sexual Disorders and Sexual Health (WGSDSH) was created and charged with reviewing and making recommendations for categories related to sexuality that are contained in the chapter of Mental and Behavioural Disorders in ICD-10 (World Health Organization 1992a). Among these categories was the ICD-10 grouping F65, Disorders of sexual preference, which describes conditions now widely referred to as Paraphilic Disorders. This article reviews the evidence base, rationale, and recommendations for the proposed revisions in this area for ICD-11 and compares them with DSM-5. The WGSDSH recommended that the grouping, Disorders of sexual preference, be renamed to Paraphilic Disorders and be limited to disorders that involve sexual arousal patterns that focus on non-consenting others or are associated with substantial distress or direct risk of injury or death. Consistent with this framework, the WGSDSH also recommended that the ICD-10 categories of Fetishism, Fetishistic Transvestism, and Sadomasochism be removed from the classification and new categories of Coercive Sexual Sadism Disorder, Frotteuristic Disorder, Other Paraphilic Disorder Involving Non-Consenting Individuals, and Other Paraphilic Disorder Involving Solitary Behaviour or Consenting Individuals be added. The WGSDSH's proposals for Paraphilic Disorders in ICD-11 are based on the WHO's role as a global public health agency and the ICD's function as a public health reporting tool.

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.

PubMed

Nguyen, Dang; Luo, Wei; Venkatesh, Svetha; Phung, Dinh

2018-04-11

Evidence-based medicine often involves the identification of patients with similar conditions, which are often captured in ICD (International Classification of Diseases (World Health Organization 2013)) code sequences. With no satisfying prior solutions for matching ICD-10 code sequences, this paper presents a method which effectively captures the clinical similarity among routine patients who have multiple comorbidities and complex care needs. Our method leverages the recent progress in representation learning of individual ICD-10 codes, and it explicitly uses the sequential order of codes for matching. Empirical evaluation on a state-wide cancer data collection shows that our proposed method achieves significantly higher matching performance compared with state-of-the-art methods ignoring the sequential order. Our method better identifies similar patients in a number of clinical outcomes including readmission and mortality outlook. Although this paper focuses on ICD-10 diagnosis code sequences, our method can be adapted to work with other codified sequence data.

Hospitalized cancer patients with severe sepsis: analysis of incidence, mortality, and associated costs of care

PubMed Central

Williams, Mark D; Braun, Lee Ann; Cooper, Liesl M; Johnston, Joseph; Weiss, Richard V; Qualy, Rebecca L; Linde-Zwirble, Walter

2004-01-01

Introduction Infection is an important complication in cancer patients, which frequently leads to or prolongs hospitalization, and can also lead to acute organ dysfunction (severe sepsis) and eventually death. While cancer patients are known to be at higher risk for infection and subsequent complications, there is no national estimate of the magnitude of this problem. Our objective was to identify cancer patients with severe sepsis and to project these numbers to national levels. Methods Data for all 1999 hospitalizations from six states (Florida, Massachusetts, New Jersey, New York, Virginia, and Washington) were merged with US Census data, Centers for Disease Control vital statistics and National Cancer Institute, Surveillance, Epidemiology, and End Results initiative cancer prevalence data. Malignant neoplasms were identified by International Classification of Disease (ninth revision, clinical modification) (ICD-9-CM) codes (140–208), and infection and acute organ failure were identified from ICD-9-CM codes following Angus and colleagues. Cases were identified as a function of age and were projected to national levels. Results There were 606,176 cancer hospitalizations identified, with severe sepsis present in 29,795 (4.9%). Projecting national estimates for the US population, cancer patients account for 126,209 severe sepsis cases annually, or 16.4 cases per 1000 people with cancer per year. The inhospital mortality for cancer patients with severe sepsis was 37.8%. Compared with the overall population, cancer patients are much more likely to be hospitalized (relative risk, 2.77; 95% confidence interval, 2.77–2.78) and to be hospitalized with severe sepsis (relative risk, 3.96; 95% confidence interval, 3.94–3.99). Overall, severe sepsis is associated with 8.5% (46,729) of all cancer deaths at a cost of $3.4 billion per year. Conclusion Severe sepsis is a common, deadly, and costly complication in cancer patients. PMID:15469571

Hospitalized cancer patients with severe sepsis: analysis of incidence, mortality, and associated costs of care.

PubMed

Williams, Mark D; Braun, Lee Ann; Cooper, Liesl M; Johnston, Joseph; Weiss, Richard V; Qualy, Rebecca L; Linde-Zwirble, Walter

2004-10-01

Infection is an important complication in cancer patients, which frequently leads to or prolongs hospitalization, and can also lead to acute organ dysfunction (severe sepsis) and eventually death. While cancer patients are known to be at higher risk for infection and subsequent complications, there is no national estimate of the magnitude of this problem. Our objective was to identify cancer patients with severe sepsis and to project these numbers to national levels. Data for all 1999 hospitalizations from six states (Florida, Massachusetts, New Jersey, New York, Virginia, and Washington) were merged with US Census data, Centers for Disease Control vital statistics and National Cancer Institute, Surveillance, Epidemiology, and End Results initiative cancer prevalence data. Malignant neoplasms were identified by International Classification of Disease (ninth revision, clinical modification) (ICD-9-CM) codes (140-208), and infection and acute organ failure were identified from ICD-9-CM codes following Angus and colleagues. Cases were identified as a function of age and were projected to national levels. There were 606,176 cancer hospitalizations identified, with severe sepsis present in 29,795 (4.9%). Projecting national estimates for the US population, cancer patients account for 126,209 severe sepsis cases annually, or 16.4 cases per 1000 people with cancer per year. The inhospital mortality for cancer patients with severe sepsis was 37.8%. Compared with the overall population, cancer patients are much more likely to be hospitalized (relative risk, 2.77; 95% confidence interval, 2.77-2.78) and to be hospitalized with severe sepsis (relative risk, 3.96; 95% confidence interval, 3.94-3.99). Overall, severe sepsis is associated with 8.5% (46,729) of all cancer deaths at a cost of 3.4 billion dollars per year. Severe sepsis is a common, deadly, and costly complication in cancer patients.

Economic burden associated with hospital postadmission dehydration.

PubMed

Pash, Elizabeth; Parikh, Niraj; Hashemi, Lobat

2014-11-01

Development of dehydration after hospital admission can be a measure of quality care, but evidence describing the incidence, economic burden, and outcomes of dehydration in hospitalized patients is lacking. The objective of this study was to compare costs and resource utilization of U.S. patients experiencing postadmission dehydration (PAD) with those who do not in a hospital setting. All adult inpatient discharges, excluding those with suspected dehydration present on admission (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes for dehydration: 276.0, 276.1, 276.5), were identified from the Premier database using ICD-9-CM codes. PAD and no-PAD (NPAD) groups were matched on propensity score adjusting for demographics (age, sex, race, medical, elective patients), patient severity (All Patient Refined Diagnosis-Related Groups severity scores), and hospital characteristics (geographic location, bed size, teaching and urban hospital). Costs, length of stay (LOS), and incidence of mortality and catheter-associated urinary tract infection (CAUTI) were compared between groups using the t test for continuous variables and the χ(2) test for categorical variables. In total, 86,398 (2.1%) of all the selected patients experienced PAD. Postmatching mean total costs were significantly higher for the PAD group compared with the NPAD group ($33,945 vs $22,380; P < .0001). Departmental costs were also significantly higher for the PAD group (all P < .0001). Compared with the NPAD group, the PAD group had a higher mean LOS (12.9 vs 8.2 days), a higher incidence of CAUTI (0.6% vs 0.5%), and higher in-hospital mortality (8.6% vs 7.8%) (all P < .05). The results for subgroup analysis also showed significantly higher total cost and longer LOS days for patients with PAD (all P < .05). The economic burden associated with hospital PAD in medical and surgical patients was substantial. © 2014 American Society for Parenteral and Enteral Nutrition.

Risk Factors for Surgical Site Infection After Cholecystectomy

PubMed Central

Nickel, Katelin B.; Wallace, Anna E.; Mines, Daniel; Tian, Fang; Symons, William J.; Fraser, Victoria J.; Olsen, Margaret A.

2017-01-01

Abstract Background. There are limited data on risk factors for surgical site infection (SSI) after open or laparoscopic cholecystectomy. Methods. A retrospective cohort of commercially insured persons aged 18–64 years was assembled using International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) procedure or Current Procedural Terminology, 4th edition codes for cholecystectomy from December 31, 2004 to December 31, 2010. Complex procedures and patients (eg, cancer, end-stage renal disease) and procedures with pre-existing infection were excluded. Surgical site infections within 90 days after cholecystectomy were identified by ICD-9-CM diagnosis codes. A Cox proportional hazards model was used to identify independent risk factors for SSI. Results. Surgical site infections were identified after 472 of 66566 (0.71%) cholecystectomies; incidence was higher after open (n = 51, 4.93%) versus laparoscopic procedures (n = 421, 0.64%; P < .001). Independent risk factors for SSI included male gender, preoperative chronic anemia, diabetes, drug abuse, malnutrition/weight loss, obesity, smoking-related diseases, previous Staphylococcus aureus infection, laparoscopic approach with acute cholecystitis/obstruction (hazards ratio [HR], 1.58; 95% confidence interval [CI], 1.27–1.96), open approach with (HR, 4.29; 95% CI, 2.45–7.52) or without acute cholecystitis/obstruction (HR, 4.04; 95% CI, 1.96–8.34), conversion to open approach with (HR, 4.71; 95% CI, 2.74–8.10) or without acute cholecystitis/obstruction (HR, 7.11; 95% CI, 3.87–13.08), bile duct exploration, postoperative chronic anemia, and postoperative pneumonia or urinary tract infection. Conclusions. Acute cholecystitis or obstruction was associated with significantly increased risk of SSI with laparoscopic but not open cholecystectomy. The risk of SSI was similar for planned open and converted procedures. These findings suggest that stratification by operative factors is important when comparing SSI rates between facilities. PMID:28491887

Factors Underlying the Temporal Increase in Maternal Mortality in the United States

PubMed Central

Joseph, K.S.; Lisonkova, Sarka; Muraca, Giulia M.; Razaz, Neda; Sabr, Yasser; Mehrabadi, Azar; Schisterman, Enrique F.

2016-01-01

OBJECTIVE To identify the factors underlying the recent increase in maternal mortality ratios (maternal deaths per 100,000 live births) in the United States. METHODS We carried out a retrospective study with data on maternal deaths and live births in the United States from 1993 to 2014 obtained from the birth and death files of the Centers for Disease Control and Prevention. Underlying causes of death were examined between 1999 and 2014 using International Classification of Diseases, Tenth Revision (ICD-10) codes. Poisson regression was used to estimate maternal mortality rate ratios (RR) and 95% confidence intervals (CI) after adjusting for the introduction of a separate pregnancy question and the standard pregnancy checkbox on death certificates, and adoption of ICD-10. RESULTS Maternal mortality ratios increased from 7.55 in 1993, to 9.88 in 1999 and to 21.5 per 100,000 live births in 2014 (RR 2014 vs 1993 2.84, 95% CI 2.49 to 3.24; RR 2014 vs 1999 2.17, 95% CI 1.93 to 2.45). The increase in maternal deaths from 1999 to 2014 was mainly due to increases in maternal deaths associated with two new ICD-10 codes (O26.8 i.e., primarily renal disease and O99 i.e., other maternal diseases classifiable elsewhere); exclusion of such deaths abolished the increase in mortality (RR 1.09, 95% CI 0.94 to 1.27). Regression adjustment for improvements in surveillance also abolished the temporal increase in maternal mortality ratios (adjusted maternal mortality ratios 7.55 in 1993, 8.00 per 100,000 live births in 2013; adjusted RR 2013 vs 1993 1.06, 95% CI 0.90 to 1.25). CONCLUSION Recent increases in maternal mortality ratios in the United States are likely an artifact of improvements in surveillance and highlight past underestimation of maternal death. Complete ascertainment of maternal death in populations remains a challenge even in countries with good systems for civil registration and vital statistics. PMID:27926651

A systematic review of validated methods for identifying transfusion-related ABO incompatibility reactions using administrative and claims data.

PubMed

Carnahan, Ryan M; Kee, Vicki R

2012-01-01

This paper aimed to systematically review algorithms to identify transfusion-related ABO incompatibility reactions in administrative data, with a focus on studies that have examined the validity of the algorithms. A literature search was conducted using PubMed, Iowa Drug Information Service database, and Embase. A Google Scholar search was also conducted because of the difficulty identifying relevant studies. Reviews were conducted by two investigators to identify studies using data sources from the USA or Canada because these data sources were most likely to reflect the coding practices of Mini-Sentinel data sources. One study was found that validated International Classification of Diseases (ICD-9-CM) codes representing transfusion reactions. None of these cases were ABO incompatibility reactions. Several studies consistently used ICD-9-CM code 999.6, which represents ABO incompatibility reactions, and a technical report identified the ICD-10 code for these reactions. One study included the E-code E8760 for mismatched blood in transfusion in the algorithm. Another study reported finding no ABO incompatibility reaction codes in the Healthcare Cost and Utilization Project Nationwide Inpatient Sample database, which contains data of 2.23 million patients who received transfusions, raising questions about the sensitivity of administrative data for identifying such reactions. Two studies reported perfect specificity, with sensitivity ranging from 21% to 83%, for the code identifying allogeneic red blood cell transfusions in hospitalized patients. There is no information to assess the validity of algorithms to identify transfusion-related ABO incompatibility reactions. Further information on the validity of algorithms to identify transfusions would also be useful. Copyright © 2012 John Wiley & Sons, Ltd.

Incidence of surgical site infection after spine surgery: what is the impact of the definition of infection?

PubMed

Nota, Sjoerd P F T; Braun, Yvonne; Ring, David; Schwab, Joseph H

2015-05-01

Orthopaedic surgical site infections (SSIs) can delay recovery, add impairments, and decrease quality of life, particularly in patients undergoing spine surgery, in whom SSIs may also be more common. Efforts to prevent and treat SSIs of the spine rely on the identification and registration of these adverse events in large databases. The effective use of these databases to answer clinical questions depends on how the conditions in question, such as infection, are defined in the databases queried, but the degree to which different definitions of infection might cause different risk factors to be identified by those databases has not been evaluated. The purpose of this study was to determine whether different definitions of SSI identify different risk factors for SSI. Specifically, we compared the International Classification of Diseases, 9th Revision (ICD-9) coding, Centers for Disease Control and Prevention (CDC) criteria for deep infection, and incision and débridement for infection to determine if each is associated with distinct risk factors for SSI. In this single-center retrospective study, a sample of 5761 adult patients who had an orthopaedic spine surgery between January 2003 and August 2013 were identified from our institutional database. The mean age of the patients was 56 years (± 16 SD), and slightly more than half were men. We applied three different definitions of infection: ICD-9 code for SSI, the CDC criteria for deep infection, and incision and débridement for infection. Three hundred sixty-one (6%) of the 5761 surgeries received an ICD-9 code for SSI within 90 days of surgery. After review of the medical records of these 361 patients, 216 (4%) met the CDC criteria for deep SSI, and 189 (3%) were taken to the operating room for irrigation and débridement within 180 days of the day of surgery. We found the Charlson Comorbidity Index, the duration of the operation, obesity, and posterior surgical approach were independently associated with a higher risk of infection for each of the three definitions of SSI. The influence of malnutrition, smoking, specific procedures, and specific surgeons varied by definition of infection. These elements accounted for approximately 6% of the variability in the risk of developing an infection. The frequency of SSI after spine surgery varied according to the definition of an infection, but the most important risk factors did not. We conclude that large database studies may be better suited for identifying risk factors than for determining absolute numbers of infections. Level III, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.

Protocol for a qualitative study exploring perspectives on the INternational CLassification of Diseases (11th revision); Using lived experience to improve mental health Diagnosis in NHS England: INCLUDE study

PubMed Central

Hackmann, Corinna; Green, Amanda; Notley, Caitlin; Perkins, Amorette; Reed, Geoffrey M; Ridler, Joseph; Wilson, Jon; Shakespeare, Tom

2017-01-01

Introduction Developed in dialogue with WHO, this research aims to incorporate lived experience and views in the refinement of the International Classification of Diseases Mental and Behavioural Disorders 11th Revision (ICD-11). The validity and clinical utility of psychiatric diagnostic systems has been questioned by both service users and clinicians, as not all aspects reflect their lived experience or are user friendly. This is critical as evidence suggests that diagnosis can impact service user experience, identity, service use and outcomes. Feedback and recommendations from service users and clinicians should help minimise the potential for unintended negative consequences and improve the accuracy, validity and clinical utility of the ICD-11. Methods and analysis The name INCLUDE reflects the value of expertise by experience as all aspects of the proposed study are co-produced. Feedback on the planned criteria for the ICD-11 will be sought through focus groups with service users and clinicians. The data from these groups will be coded and inductively analysed using a thematic analysis approach. Findings from this will be used to form the basis of co-produced recommendations for the ICD-11. Two service user focus groups will be conducted for each of these diagnoses: Personality Disorder, Bipolar I Disorder, Schizophrenia, Depressive Disorder and Generalised Anxiety Disorder. There will be four focus groups with clinicians (psychiatrists, general practitioners and clinical psychologists). Ethics and dissemination This study has received ethical approval from the Coventry and Warwickshire HRA Research Ethics Committee (16/WM/0479). The output for the project will be recommendations that reflect the views and experiences of experts by experience (service users and clinicians). The findings will be disseminated via conferences and peer-reviewed publications. As the ICD is an international tool, the aim is for the methodology to be internationally disseminated for replication by other groups. Trial registration number ClinicalTrials.gov: NCT03131505. PMID:28871029

Medicare program; prospective payment system and consolidated billing for skilled nursing facilities for FY 2014. Final rule.

PubMed

2013-08-06

This final rule updates the payment rates used under the prospective payment system for skilled nursing facilities (SNFs) for fiscal year (FY) 2014. In addition, it revises and rebases the SNF market basket, revises and updates the labor related share, and makes certain technical and conforming revisions in the regulations text. This final rule also includes a policy for reporting the SNF market basket forecast error in certain limited circumstances and adds a new item to the Minimum Data Set (MDS), Version 3.0 for reporting the number of distinct therapy days. Finally, this final rule adopts a change to the diagnosis code used to determine which residents will receive the AIDS add-on payment, effective for services provided on or after the October 1, 2014 implementation date for conversion to ICD-10-CM.

A comparison of two methods for retrieving ICD-9-CM data: the effect of using an ontology-based method for handling terminology changes.

PubMed

Yu, Alexander C; Cimino, James J

2011-04-01

Most existing controlled terminologies can be characterized as collections of terms, wherein the terms are arranged in a simple list or organized in a hierarchy. These kinds of terminologies are considered useful for standardizing terms and encoding data and are currently used in many existing information systems. However, they suffer from a number of limitations that make data reuse difficult. Relatively recently, it has been proposed that formal ontological methods can be applied to some of the problems of terminological design. Biomedical ontologies organize concepts (embodiments of knowledge about biomedical reality) whereas terminologies organize terms (what is used to code patient data at a certain point in time, based on the particular terminology version). However, the application of these methods to existing terminologies is not straightforward. The use of these terminologies is firmly entrenched in many systems, and what might seem to be a simple option of replacing these terminologies is not possible. Moreover, these terminologies evolve over time in order to suit the needs of users. Any methodology must therefore take these constraints into consideration, hence the need for formal methods of managing changes. Along these lines, we have developed a formal representation of the concept-term relation, around which we have also developed a methodology for management of terminology changes. The objective of this study was to determine whether our methodology would result in improved retrieval of data. Comparison of two methods for retrieving data encoded with terms from the International Classification of Diseases (ICD-9-CM), based on their recall when retrieving data for ICD-9-CM terms whose codes had changed but which had retained their original meaning (code change). Recall and interclass correlation coefficient. Statistically significant differences were detected (p<0.05) with the McNemar test for two terms whose codes had changed. Furthermore, when all the cases are combined in an overall category, our method also performs statistically significantly better (p<0.05). Our study shows that an ontology-based ICD-9-CM data retrieval method that takes into account the effects of terminology changes performs better on recall than one that does not in the retrieval of data for terms whose codes had changed but which retained their original meaning. Copyright © 2011 Elsevier Inc. All rights reserved.

A Comparison of Two Methods for Retrieving ICD-9-CM data: The Effect of Using an Ontology-based Method for Handling Terminology Changes

PubMed Central

Yu, Alexander C.; Cimino, James J.

2012-01-01

Objective Most existing controlled terminologies can be characterized as collections of terms, wherein the terms are arranged in a simple list or organized in a hierarchy. These kinds of terminologies are considered useful for standardizing terms and encoding data and are currently used in many existing information systems. However, they suffer from a number of limitations that make data reuse difficult. Relatively recently, it has been proposed that formal ontological methods can be applied to some of the problems of terminological design. Biomedical ontologies organize concepts (embodiments of knowledge about biomedical reality) whereas terminologies organize terms (what is used to code patient data at a certain point in time, based on the particular terminology version). However, the application of these methods to existing terminologies is not straightforward. The use of these terminologies is firmly entrenched in many systems, and what might seem to be a simple option of replacing these terminologies is not possible. Moreover, these terminologies evolve over time in order to suit the needs of users. Any methodology must therefore take these constraints into consideration, hence the need for formal methods of managing changes. Along these lines, we have developed a formal representation of the concept-term relation, around which we have also developed a methodology for management of terminology changes. The objective of this study was to determine whether our methodology would result in improved retrieval of data. Design Comparison of two methods for retrieving data encoded with terms from the International Classification of Diseases (ICD-9-CM), based on their recall when retrieving data for ICD-9-CM terms whose codes had changed but which had retained their original meaning (code change). Measurements Recall and interclass correlation coefficient. Results Statistically significant differences were detected (p<0.05) with the McNemar test for two terms whose codes had changed. Furthermore, when all the cases are combined in an overall category, our method also performs statistically significantly better (p < 0.05). Conclusion Our study shows that an ontology-based ICD-9-CM data retrieval method that takes into account the effects of terminology changes performs better on recall than one that does not in the retrieval of data for terms whose codes had changed but which retained their original meaning. PMID:21262390

Automated Diagnosis Coding with Combined Text Representations.

PubMed

Berndorfer, Stefan; Henriksson, Aron

2017-01-01

Automated diagnosis coding can be provided efficiently by learning predictive models from historical data; however, discriminating between thousands of codes while allowing a variable number of codes to be assigned is extremely difficult. Here, we explore various text representations and classification models for assigning ICD-9 codes to discharge summaries in MIMIC-III. It is shown that the relative effectiveness of the investigated representations depends on the frequency of the diagnosis code under consideration and that the best performance is obtained by combining models built using different representations.

Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus.

PubMed

Jouhet, Vianney; Mougin, Fleur; Bréchat, Bérénice; Thiessard, Frantz

2017-02-07

Identifying incident cancer cases within a population remains essential for scientific research in oncology. Data produced within electronic health records can be useful for this purpose. Due to the multiplicity of providers, heterogeneous terminologies such as ICD-10 and ICD-O-3 are used for oncology diagnosis recording purpose. To enable disease identification based on these diagnoses, there is a need for integrating disease classifications in oncology. Our aim was to build a model integrating concepts involved in two disease classifications, namely ICD-10 (diagnosis) and ICD-O-3 (topography and morphology), despite their structural heterogeneity. Based on the NCIt, a "derivative" model for linking diagnosis and topography-morphology combinations was defined and built. ICD-O-3 and ICD-10 codes were then used to instantiate classes of the "derivative" model. Links between terminologies obtained through the model were then compared to mappings provided by the Surveillance, Epidemiology, and End Results (SEER) program. The model integrated 42% of neoplasm ICD-10 codes (excluding metastasis), 98% of ICD-O-3 morphology codes (excluding metastasis) and 68% of ICD-O-3 topography codes. For every codes instantiating at least a class in the "derivative" model, comparison with SEER mappings reveals that all mappings were actually available in the model as a link between the corresponding codes. We have proposed a method to automatically build a model for integrating ICD-10 and ICD-O-3 based on the NCIt. The resulting "derivative" model is a machine understandable resource that enables an integrated view of these heterogeneous terminologies. The NCIt structure and the available relationships can help to bridge disease classifications taking into account their structural and granular heterogeneities. However, (i) inconsistencies exist within the NCIt leading to misclassifications in the "derivative" model, (ii) the "derivative" model only integrates a part of ICD-10 and ICD-O-3. The NCIt is not sufficient for integration purpose and further work based on other termino-ontological resources is needed in order to enrich the model and avoid identified inconsistencies.

Predictive Validity of ICD-11 PTSD as Measured by the Impact of Event Scale-Revised: A 15-Year Prospective Study of Political Prisoners.

PubMed

Hyland, Philip; Brewin, Chris R; Maercker, Andreas

2017-04-01

The 11 th edition of the International Classification of Diseases (ICD-11; World Health Organization, 2017) proposes a model of posttraumatic stress disorder (PTSD) that includes 6 symptoms. This study assessed the ability of a classification-independent measure of posttraumatic stress symptoms, the Impact of Event Scale-Revised (Weiss & Marmar, 1996), to capture the ICD-11 model of PTSD. The current study also provided the first assessment of the predictive validity of ICD-11 PTSD. Former East German political prisoners were assessed in 1994 (N = 144) and in 2008-2009 (N = 88) on numerous psychological variables using self-report measures. Of the participants, 48.2% and 36.8% met probable diagnosis for ICD-11 PTSD at the first and second assessments, respectively. Confirmatory factor analysis supported the factorial validity of the 3-factor ICD-11 model of PTSD, as represented by items selected from the Impact of Event Scale-Revised. Hierarchical multiple regression analysis demonstrated that, controlling for sex, the symptom clusters of ICD-11 PTSD (reexperiencing, avoidance, and sense of threat) significantly contributed to the explanation of depression (R 2 = .17), quality of life (R 2 = .21), internalized anger (R 2 = .10), externalized anger (R 2 = .12), hatred of perpetrators (R 2 = .15), dysfunctional disclosure (R 2 = .27), and social acknowledgment as a victim (R 2 = .12) across the 15-year study period. Current findings add support for the factorial and predictive validity of ICD-11 PTSD within a unique cohort of political prisoners. Copyright © 2017 International Society for Traumatic Stress Studies.

Hypochondriasis: considerations for ICD-11.

PubMed

van den Heuvel, Odile A; Veale, David; Stein, Dan J

2014-01-01

The World Health Organization (WHO) is currently revisiting the ICD. In the 10th version of the ICD, approved in 1990, hypochondriacal symptoms are described in the context of both the primary condition hypochondriacal disorder and as secondary symptoms within a range of other mental disorders. Expansion of the research base since 1990 makes a critical evaluation and revision of both the definition and classification of hypochondriacal disorder timely. This article addresses the considerations reviewed by members of the WHO ICD-11 Working Group on the Classification of Obsessive-Compulsive and Related Disorders in their proposal for the description and classification of hypochondriasis. The proposed revision emphasizes the phenomenological overlap with both anxiety disorders (e.g., fear, hypervigilance to bodily symptoms, and avoidance) and obsessive-compulsive and related disorders (e.g., preoccupation and repetitive behaviors) and the distinction from the somatoform disorders (presence of somatic symptom is not a critical characteristic). This revision aims to improve clinical utility by enabling better recognition and treatment of patients with hypochondriasis within the broad range of global health care settings.

Death Certification Errors and the Effect on Mortality Statistics.

PubMed

McGivern, Lauri; Shulman, Leanne; Carney, Jan K; Shapiro, Steven; Bundock, Elizabeth

Errors in cause and manner of death on death certificates are common and affect families, mortality statistics, and public health research. The primary objective of this study was to characterize errors in the cause and manner of death on death certificates completed by non-Medical Examiners. A secondary objective was to determine the effects of errors on national mortality statistics. We retrospectively compared 601 death certificates completed between July 1, 2015, and January 31, 2016, from the Vermont Electronic Death Registration System with clinical summaries from medical records. Medical Examiners, blinded to original certificates, reviewed summaries, generated mock certificates, and compared mock certificates with original certificates. They then graded errors using a scale from 1 to 4 (higher numbers indicated increased impact on interpretation of the cause) to determine the prevalence of minor and major errors. They also compared International Classification of Diseases, 10th Revision (ICD-10) codes on original certificates with those on mock certificates. Of 601 original death certificates, 319 (53%) had errors; 305 (51%) had major errors; and 59 (10%) had minor errors. We found no significant differences by certifier type (physician vs nonphysician). We did find significant differences in major errors in place of death ( P < .001). Certificates for deaths occurring in hospitals were more likely to have major errors than certificates for deaths occurring at a private residence (59% vs 39%, P < .001). A total of 580 (93%) death certificates had a change in ICD-10 codes between the original and mock certificates, of which 348 (60%) had a change in the underlying cause-of-death code. Error rates on death certificates in Vermont are high and extend to ICD-10 coding, thereby affecting national mortality statistics. Surveillance and certifier education must expand beyond local and state efforts. Simplifying and standardizing underlying literal text for cause of death may improve accuracy, decrease coding errors, and improve national mortality statistics.

Faith and Ethics, Covenant and Code: The 2015 Revision of the ANA Code of Ethics for Nurses with Interpretive Statements.

PubMed

Fowler, Marsha D

How does and should the American Nurses Association Code of Ethics for Nurses with Interpretive Statements, with foundations from the late 1800s, impact today's nursing practice? How can the Code help you? The earlier 2001 Code was revised and became effective January 2015. The nine provisions received modest revision, as did the corresponding interpretive statements. However, Provisions 8 and 9 and their interpretive statements received more substantial revision. This article explains the Code and summarizes the 2015 revisions, considering points of particular interest for nurses of faith.

Health problems and disability in long-term sickness absence: ICF coding of medical certificates.

PubMed

Morgell, Roland; Backlund, Lars G; Arrelöv, Britt; Strender, Lars-Erik; Nilsson, Gunnar H

2011-11-11

The purpose of this study was to test the feasibility of International Classification of Functioning, Disability and Health (ICF) and to explore the distribution, including gender differences, of health problems and disabilities as reflected in long-term sickness absence certificates. A total of 433 patients with long sick-listing periods, 267 women and 166 men, were included in the study. All certificates exceeding 28 days of sick-listing sent to the local office of the Swedish Social Insurance Administration of a municipality in the Stockholm area were collected during four weeks in 2004-2005. ICD-10 medical diagnosis codes in the certificates were retrieved and free text information on disabilities in body function, body structure or activity and participation were coded according to ICF short version. In 89.8% of the certificates there were descriptions of disabilities that readily could be classified according to ICF. In a reliability test 123/131 (94%) items of randomly chosen free text information were identically classified by two of the authors. On average 2.4 disability categories (range 0-9) were found per patient; the most frequent were 'Sensation of pain' (35.1% of the patients), 'Emotional functions' (34.1%), 'Energy and drive functions' (22.4%), and 'Sleep functions' (16.9%). The dominating ICD-10 diagnostic groups were 'Mental and behavioural disorders' (34.4%) and 'Diseases of the musculoskeletal system and connective tissue' (32.8%). 'Reaction to severe stress and adjustment disorders' (14.7%), and 'Depressive episode' (11.5%) were the most frequent diagnostic codes. Disabilities in mental functions and activity/participation were more commonly described among women, while disabilities related to the musculoskeletal system were more frequent among men. Both ICD-10 diagnoses and ICF categories were dominated by mental and musculoskeletal health problems, but there seems to be gender differences, and ICF classification as a complement to ICD-10 could provide a better understanding of the consequences of diseases and how individual patients can cope with their health problems. ICF is feasible for secondary classifying of free text descriptions of disabilities stated in sick-leave certificates and seems to be useful as a complement to ICD-10 for sick-listing management and research.

A new coding system for metabolic disorders demonstrates gaps in the international disease classifications ICD-10 and SNOMED-CT, which can be barriers to genotype-phenotype data sharing.

PubMed

Sollie, Annet; Sijmons, Rolf H; Lindhout, Dick; van der Ploeg, Ans T; Rubio Gozalbo, M Estela; Smit, G Peter A; Verheijen, Frans; Waterham, Hans R; van Weely, Sonja; Wijburg, Frits A; Wijburg, Rudolph; Visser, Gepke

2013-07-01

Data sharing is essential for a better understanding of genetic disorders. Good phenotype coding plays a key role in this process. Unfortunately, the two most widely used coding systems in medicine, ICD-10 and SNOMED-CT, lack information necessary for the detailed classification and annotation of rare and genetic disorders. This prevents the optimal registration of such patients in databases and thus data-sharing efforts. To improve care and to facilitate research for patients with metabolic disorders, we developed a new coding system for metabolic diseases with a dedicated group of clinical specialists. Next, we compared the resulting codes with those in ICD and SNOMED-CT. No matches were found in 76% of cases in ICD-10 and in 54% in SNOMED-CT. We conclude that there are sizable gaps in the SNOMED-CT and ICD coding systems for metabolic disorders. There may be similar gaps for other classes of rare and genetic disorders. We have demonstrated that expert groups can help in addressing such coding issues. Our coding system has been made available to the ICD and SNOMED-CT organizations as well as to the Orphanet and HPO organizations for further public application and updates will be published online (www.ddrmd.nl and www.cineas.org). © 2013 WILEY PERIODICALS, INC.

Describing the content of primary care: limitations of Canadian billing data.

PubMed

Katz, Alan; Halas, Gayle; Dillon, Michael; Sloshower, Jordan

2012-02-15

Primary health care systems are designed to provide comprehensive patient care. However, the ICD 9 coding system used for billing purposes in Canada neither characterizes nor captures the scope of clinical practice or complexity of physician-patient interactions. This study aims to describe the content of primary care clinical encounters and examine the limitations of using administrative data to capture the content of these visits. Although a number of U.S studies have described the content of primary care encounters, this is the first Canadian study to do so. Study-specific data collection forms were completed by 16 primary care physicians in community health and family practice clinics in Winnipeg, Manitoba, Canada. The data collection forms were completed immediately following the patient encounter and included patient and visit characteristics, such as primary reason for visit, topics discussed, actions taken, degree of complexity as well as diagnosis and ICD-9 codes. Data was collected for 760 patient encounters. The diagnostic codes often did not reflect the dominant topic of the visit or the topic requiring the most amount of time. Physicians often address multiple problems and provide numerous services thus increasing the complexity of care. This is one of the first Canadian studies to critically analyze the content of primary care clinical encounters. The data allowed a greater understanding of primary care clinical encounters and attests to the deficiencies of singular ICD-9 coding which fails to capture the comprehensiveness and complexity of the primary care encounter. As primary care reform initiatives in the U.S and Canada attempt to transform the way family physicians deliver care, it becomes increasingly important that other tools for structuring primary care data are considered in order to help physicians, researchers and policy makers understand the breadth and complexity of primary care.

Redefining Projections of Disease and Nonbattle Injury Patient Condition Code Distributions with Casualty Data from Operation Iraqi Freedom

DTIC Science & Technology

2006-07-30

complicated 0.07% 0.13% 282 Infectious mononucleosis all cases 0.03% 0.06% 283 Hepatitis infectious viral all cases 0.38% 0.69% 329 Trachoma all cases 0.00... infectious /parasitic, neuropsychiatric, and miscellaneous. Although considerable overlapping existed between the two coding formats (PC and ICD-9), there...Std Residual n (%) Std Residual n (%) Std Residual n (%) Infectious 10 (0.9) -1.9 80 (1.5) -1.3 183 (1.9) 1.6 273 (1.7) Neoplasm 16 (1.5

Conversion of ICD-9 (International Classification of Diseases, Ninth Revision) and ICPM (International Classification of Procedures in Medicine) Data to ICD-9-CM with Adaptation to DRGs. Part B.

DTIC Science & Technology

1987-08-31

PLEURISY AGE >69 AND/OR C. C. 1.1029 8.5 29 090 004 M SIMPLE PNEUMONIA + PLEURISY AGE 18-69 W/O C. C. 0.9849 7.6 28 091 004 M SIMPLE PNEUMONIA... PLEURISY AGE 0-17 0.5131 4.6 14 092 004 M INTERSTITIAL LUNG DISEASE AGE >69 AND/OR C. C. 1.0370 7.8 28 093 004 M INTERSTITIAL LUNG DISEASE AGE ា W/O C. C... PLEURISY AGE >69 AND/OR C. C. 224 684 668 675 673 679 -3 M SIMPLE PNEUMONIA + PLEURISY AGE 18-69 W/O C. C. 4370 3861 3877 3880 3889 3890 ;1 1:4 v SIMPLE

The Utility and Challenges of Using ICD Codes in Child Maltreatment Research: A Review of Existing Literature

ERIC Educational Resources Information Center

Scott, Debbie; Tonmyr, Lil; Fraser, Jenny; Walker, Sue; McKenzie, Kirsten

2009-01-01

Objective: The objectives of this article are to explore the extent to which the International Statistical Classification of Diseases and Related Health Problems (ICD) has been used in child abuse research, to describe how the ICD system has been applied, and to assess factors affecting the reliability of ICD coded data in child abuse research.…

Identifying patients with severe sepsis using administrative claims: patient-level validation of the angus implementation of the international consensus conference definition of severe sepsis.

PubMed

Iwashyna, Theodore J; Odden, Andrew; Rohde, Jeffrey; Bonham, Catherine; Kuhn, Latoya; Malani, Preeti; Chen, Lena; Flanders, Scott

2014-06-01

Severe sepsis is a common and costly problem. Although consistently defined clinically by consensus conference since 1991, there have been several different implementations of the severe sepsis definition using ICD-9-CM codes for research. We conducted a single center, patient-level validation of 1 common implementation of the severe sepsis definition, the so-called "Angus" implementation. Administrative claims for all hospitalizations for patients initially admitted to general medical services from an academic medical center in 2009-2010 were reviewed. On the basis of ICD-9-CM codes, hospitalizations were sampled for review by 3 internal medicine-trained hospitalists. Chart reviews were conducted with a structured instrument, and the gold standard was the hospitalists' summary clinical judgment on whether the patient had severe sepsis. Three thousand one hundred forty-six (13.5%) hospitalizations met ICD-9-CM criteria for severe sepsis by the Angus implementation (Angus-positive) and 20,142 (86.5%) were Angus-negative. Chart reviews were performed for 92 randomly selected Angus-positive and 19 randomly-selected Angus-negative hospitalizations. Reviewers had a κ of 0.70. The Angus implementation's positive predictive value was 70.7% [95% confidence interval (CI): 51.2%, 90.5%]. The negative predictive value was 91.5% (95% CI: 79.0%, 100%). The sensitivity was 50.4% (95% CI: 14.8%, 85.7%). Specificity was 96.3% (95% CI: 92.4%, 100%). Two alternative ICD-9-CM implementations had high positive predictive values but sensitivities of <20%. The Angus implementation of the international consensus conference definition of severe sepsis offers a reasonable but imperfect approach to identifying patients with severe sepsis when compared with a gold standard of structured review of the medical chart by trained hospitalists.

Diverse definitions of prolonged labour and its consequences with sometimes subsequent inappropriate treatment

PubMed Central

2014-01-01

Background Prolonged labour very often causes suffering from difficulties that may have lifelong implications. This study aimed to explore the prevalence and treatment of prolonged labour and to compare birth outcome and women’s experiences of prolonged and normal labour. Method Women with spontaneous onset of labour, living in a Swedish county, were recruited two months after birth, to a cross-sectional study. Women (n = 829) completed a questionnaire that investigated socio-demographic and obstetric background, birth outcome and women’s feelings and experiences of birth. The prevalence of prolonged labour, as defined by a documented ICD-code and inspection of partogram was calculated. Four groups were identified; women with prolonged labour as identified by documented ICD-codes or by partogram inspection but no ICD-code; women with normal labour augmented with oxytocin or not. Results Every fifth woman experienced a prolonged labour. The prevalence with the documented ICD-code was (13%) and without ICD-code but positive partogram was (8%). Seven percent of women with prolonged labour were not treated with oxytocin. Approximately one in three women (28%) received oxytocin augmentation despite having no evidence of prolonged labour. The length of labour differed between the four groups of women, from 7 to 23 hours. Women with a prolonged labour had a negative birth experience more often (13%) than did women who had a normal labour (3%) (P <0.00). The factors that contributed most strongly to a negative birth experience in women with prolonged labour were emergency Caesarean section (OR 9.0, 95% CI 1.2-3.0) and to strongly agree with the following statement ‘My birth experience made me decide not to have any more children’ (OR 41.3, 95% CI 4.9-349.6). The factors that contributed most strongly to a negative birth experience in women with normal labour were less agreement with the statement ‘It was exiting to give birth’ (OR 0.13, 95% CI 0.34-0.5). Conclusions There is need for increased clinical skill in identification and classification of prolonged labour, in order to improve care for all women and their experiences of birthing processes regardless whether they experience a prolonged labour or not. PMID:25031035

Evaluation of an automated inferencing engine generating ICD-9CM codes for physician and hospital billing.

PubMed

Behta, Maryam; Friedman, Glenna; Manber, Maxine; Jordan, Desmond

2008-11-06

Recent Medicare changes to Severity Diagnosis Related Groups (MS-DRGs) for inpatients have made the appropriate and timely coding of services provided by hospitals and physicians a challenge, and require education for clinicians and coders. Clinical departments have limited funds to hire dedicated personnel to code and prepare payor submissions. Automating the process can assist in accurate data collection and reimbursement.

An evaluation of ICD-11 posttraumatic stress disorder criteria in two samples of adolescents and young adults exposed to mass shootings: factor analysis and comparisons to ICD-10 and DSM-IV.

PubMed

Haravuori, Henna; Kiviruusu, Olli; Suomalainen, Laura; Marttunen, Mauri

2016-05-12

The proposed posttraumatic stress disorder (PTSD) criteria for the International Classification of Diseases (ICD) 11th revision are simpler than the criteria in ICD-10, DSM-IV or DSM-5. The aim of this study was to evaluate the ICD-11 PTSD factor structure in samples of young people, and to compare PTSD prevalence rates and diagnostic agreement between the different diagnostic systems. Possible differences in clinical characteristics of the PTSD cases identified by ICD-11, ICD-10 and DSM-IV are explored. Two samples of adolescents and young adults were followed after exposure to similar mass shooting incidents in their schools. Semi-structured diagnostic interviews were performed to assess psychiatric diagnoses and PTSD symptom scores (N = 228, mean age 17.6 years). PTSD symptom item scores were used to compose diagnoses according to the different classification systems. Confirmatory factor analyses indicated that the proposed ICD-11 PTSD symptoms represented two rather than three factors; re-experiencing and avoidance symptoms comprised one factor and hyperarousal symptoms the other factor. In the studied samples, the three-factor ICD-11 criteria identified 51 (22.4%) PTSD cases, the two-factor ICD-11 identified 56 (24.6%) cases and the DSM-IV identified 43 (18.9%) cases, while the number of cases identified by ICD-10 was larger, being 85 (37.3%) cases. Diagnostic agreement of the ICD-11 PTSD criteria with ICD-10 and DSM-IV was moderate, yet the diagnostic agreement turned to be good when an impairment criterion was imposed on ICD-10. Compared to ICD-11, ICD-10 identified cases with less severe trauma exposure and posttraumatic symptoms and DSM-IV identified cases with less severe trauma exposure. The findings suggest that the two-factor model of ICD-11 PTSD is preferable to the three-factor model. The proposed ICD-11 criteria are more restrictive compared to the ICD-10 criteria. There were some differences in the clinical characteristics of the PTSD cases identified by ICD-11, when compared to ICD-10 and DSM-IV.

What does the U.S. Medicare administrative claims database tell us about initial antiepileptic drug treatment for older adults with new-onset epilepsy?

PubMed

Martin, Roy C; Faught, Edward; Szaflarski, Jerzy P; Richman, Joshua; Funkhouser, Ellen; Piper, Kendra; Juarez, Lucia; Dai, Chen; Pisu, Maria

2017-04-01

Disparities in epilepsy treatment are not uncommon; therefore, we examined population-based estimates of initial antiepileptic drugs (AEDs) in new-onset epilepsy among racial/ethnic minority groups of older US Medicare beneficiaries. We conducted retrospective analyses of 2008-2010 Medicare administrative claims for a 5% random sample of beneficiaries augmented for minority representation. New-onset epilepsy cases in 2009 had ≥1 International Classification of Diseases, Ninth Revision (ICD-9) 345.x or ≥2 ICD-9 780.3x, and ≥1 AED, AND no seizure/epilepsy claim codes or AEDs in preceding 365 days. We examined AED use and concordance with Quality Indicators of Epilepsy Treatment (QUIET) 6 (monotherapy as initial treatment = ≥30 day first prescription with no other concomitant AEDs), and prompt AED treatment (first AED within 30 days of diagnosis). Logistic regression examined likelihood of prompt treatment by demographic (race/ethnicity, gender, age), clinical (number of comorbid conditions, neurology care, index event occurring in the emergency room (ER)), and economic (Part D coverage phase, eligibility for Part D Low Income Subsidy [LIS], and ZIP code level poverty) factors. Over 1 year of follow-up, 79.6% of 3,706 new epilepsy cases had one AED only (77.89% of whites vs. 89% of American Indian/Alaska Native [AI/AN]). Levetiracetam was the most commonly prescribed AED (45.5%: from 24.6% AI/AN to 55.0% whites). The second most common was phenytoin (30.6%: from 18.8% Asians to 43.1% AI/AN). QUIET 6 concordance was 94.7% (93.9% for whites to 97.3% of AI/AN). Only 50% received prompt AED therapy (49.6% whites to 53.9% AI/AN). Race/ethnicity was not significantly associated with AED patterns, monotherapy use, or prompt treatment. Monotherapy is common across all racial/ethnic groups of older adults with new-onset epilepsy, older AEDs are commonly prescribed, and treatment is frequently delayed. Further studies on reasons for treatment delays are warranted. Interventions should be developed and tested to develop paradigms that lead to better care. Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.

Validity of Principal Diagnoses in Discharge Summaries and ICD-10 Coding Assessments Based on National Health Data of Thailand.

PubMed

Sukanya, Chongthawonsatid

2017-10-01

This study examined the validity of the principal diagnoses on discharge summaries and coding assessments. Data were collected from the National Health Security Office (NHSO) of Thailand in 2015. In total, 118,971 medical records were audited. The sample was drawn from government hospitals and private hospitals covered by the Universal Coverage Scheme in Thailand. Hospitals and cases were selected using NHSO criteria. The validity of the principal diagnoses listed in the "Summary and Coding Assessment" forms was established by comparing data from the discharge summaries with data obtained from medical record reviews, and additionally, by comparing data from the coding assessments with data in the computerized ICD (the data base used for reimbursement-purposes). The summary assessments had low sensitivities (7.3%-37.9%), high specificities (97.2%-99.8%), low positive predictive values (9.2%-60.7%), and high negative predictive values (95.9%-99.3%). The coding assessments had low sensitivities (31.1%-69.4%), high specificities (99.0%-99.9%), moderate positive predictive values (43.8%-89.0%), and high negative predictive values (97.3%-99.5%). The discharge summaries and codings often contained mistakes, particularly the categories "Endocrine, nutritional, and metabolic diseases", "Symptoms, signs, and abnormal clinical and laboratory findings not elsewhere classified", "Factors influencing health status and contact with health services", and "Injury, poisoning, and certain other consequences of external causes". The validity of the principal diagnoses on the summary and coding assessment forms was found to be low. The training of physicians and coders must be strengthened to improve the validity of discharge summaries and codings.

Cross-cultural and comparative epidemiology of insomnia: the Diagnostic and statistical manual (DSM), International classification of diseases (ICD) and International classification of sleep disorders (ICSD).

PubMed

Chung, Ka-Fai; Yeung, Wing-Fai; Ho, Fiona Yan-Yee; Yung, Kam-Ping; Yu, Yee-Man; Kwok, Chi-Wa

2015-04-01

To compare the prevalence of insomnia according to symptoms, quantitative criteria, and Diagnostic and Statistical Manual of Mental Disorders, 4th and 5th Edition (DSM-IV and DSM-5), International Classification of Diseases, 10th Revision (ICD-10), and International Classification of Sleep Disorders, 2nd Edition (ICSD-2), and to compare the prevalence of insomnia disorder between Hong Kong and the United States by adopting a similar methodology used by the America Insomnia Survey (AIS). Population-based epidemiological survey respondents (n = 2011) completed the Brief Insomnia Questionnaire (BIQ), a validated scale generating DSM-IV, DSM-5, ICD-10, and ICSD-2 insomnia disorder. The weighted prevalence of difficulty falling asleep, difficulty staying asleep, waking up too early, and non-restorative sleep that occurred ≥3 days per week was 14.0%, 28.3%, 32.1%, and 39.9%, respectively. When quantitative criteria were included, the prevalence dropped the most from 39.9% to 8.4% for non-restorative sleep, and the least from 14.0% to 12.9% for difficulty falling asleep. The weighted prevalence of DSM-IV, ICD-10, ICSD-2, and any of the three insomnia disorders was 22.1%, 4.7%, 15.1%, and 22.1%, respectively; for DSM-5 insomnia disorder, it was 10.8%. Compared with 22.1%, 3.9%, and 14.7% for DSM-IV, ICD-10, and ICSD-2 in the AIS, cross-cultural difference in the prevalence of insomnia disorder is less than what is expected. The prevalence is reduced by half from DSM-IV to DSM-5. ICD-10 insomnia disorder has the lowest prevalence, perhaps because excessive concern and preoccupation, one of its diagnostic criteria, is not always present in people with insomnia. Copyright © 2014 Elsevier B.V. All rights reserved.

Acute and Long-term Results After Contemporary Subcutaneous Implantable Cardioverter-defibrillator Implantation: A Single-center Experience.

PubMed

Arias, Miguel A; Pachón, Marta; Akerström, Finn; Puchol, Alberto; Martín-Sierra, Cristina; Rodríguez-Padial, Luis

2017-12-05

The subcutaneous implantable cardioverter-defibrillator (S-ICD) has emerged as an alternative to the transvenous defibrillator. The incidence of complications is similar, with inappropriate shocks (IS) being more frequent than those occurring with contemporary programming of transvenous defibrillators. Several improvements have been implemented after the S-ICD was approved for use in Europe in 2009. This study reports the results of S-ICD use in a single center, whose experience began late, at the end of 2013. Prospective observational study including consecutive patients with defibrillator indication and no indication for either permanent pacing or cardiac resynchronization who underwent S-ICD implantation. Implant data and long-term follow-up were analyzed. An S-ICD was implanted in 50 patients who were deemed suitable after electrocardiographic screening. The mean age was 46.9±15 (range, 15-78) years and 72% were male. Thirty eight percent had left ventricular ejection fraction ≤ 35%. The most frequent heart disease was ischemic heart disease (34%), followed by hypertrophic cardiomyopathy (18%). The intermuscular technique was used, with 3 incisions in 10% and 2 incisions in the remaining 90%. Ventricular fibrillation was induced in 49 patients, with 100% effectiveness in their conversion. After a mean follow-up of 18.1 (range, 2.3-44.8) months, there were no late complications requiring surgical revision, the rate of IS was 0%, and 1 patient (2%) experienced appropriate shocks. Improvements in technology, implant technique and device programming, along with appropriate patient selection, have led to outstanding acute and long-term results, especially regarding the absence of both IS and complications requiring surgical revision. Copyright © 2017 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

Statewide Trends in Utilization and Outcomes of Endovascular Treatment of Acute Ischemic Stroke: Analysis of Minnesota Hospital Association Data (2014 and 2015).

PubMed

Hussein, Haitham M; Saleem, Muhammad A; Qureshi, Adnan I

2018-03-01

The study aims at examining the changes in endovascular procedures utilization after the publication of the clinical trials showing their benefit in patients with acute ischemic stroke (AIS). Minnesota Hospital Association database from 137 member hospitals was used to calculate the statewide utilization rates for 2 periods: prior to (calendar year 2014) and after (calendar year 2015) the publication of multiple randomized clinical trials showing the efficacy of endovascular therapy. Patients were identified using International Classification of Disease, Clinical Modification, 9th revision (ICD-9) or ICD-10 codes (ICD-10 started October 2015). Utilization rates for endovascular treatment were calculated monthly, quarterly, and annually. Of the 13,043 patients admitted with AIS, 434 patients (mean age 68.5 ± 15.5 years; 51.2% women) received endovascular treatment. The number of procedures increased from 194 in 2014 to 240 in 2015. Utilization rate was 3.4% in the first quarter of 2014, gradually declined to reach its lowest value (2.6%) the last quarter of 2014, then steadily increased to reach its peak (4%) in the last quarter of 2015. Procedures performed at comprehensive stroke centers increased from 52% of total procedures in 2014 to 57.5% in 2015, whereas those performed at primary stroke centers decreased from 22.6% to 19.5%. In 2015, fewer patients had hypertension (50.4% versus 60.3%; P = .039) and more patients had chronic kidney disease (28.3% versus 15.5%; P = .001) compared with 2014. Intracranial hemorrhage, mortality rate, and rate of home discharge were similar between the 2 years. Utilization of endovascular procedures for treatment of AIS has been rapidly influenced by medical literature. Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Inflammatory bowel disease and risk of Parkinson's disease in Medicare beneficiaries.

PubMed

Camacho-Soto, Alejandra; Gross, Anat; Searles Nielsen, Susan; Dey, Neelendu; Racette, Brad A

2018-05-01

Gastrointestinal (GI) dysfunction precedes the motor symptoms of Parkinson's disease (PD) by several years. PD patients have abnormal aggregation of intestinal α-synuclein, the accumulation of which may be promoted by inflammation. The relationship between intestinal α-synuclein aggregates and central nervous system neuropathology is unknown. Recently, we observed a possible inverse association between inflammatory bowel disease (IBD) and PD as part of a predictive model of PD. Therefore, the objective of this study was to examine the relationship between PD risk and IBD and IBD-associated conditions and treatment. Using a case-control design, we identified 89,790 newly diagnosed PD cases and 118,095 population-based controls >65 years of age using comprehensive Medicare data from 2004-2009 including detailed claims data. We classified IBD using International Classification of Diseases version 9 (ICD-9) diagnosis codes. We used logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the association between PD and IBD. Covariates included age, sex, race/ethnicity, smoking, Elixhauser comorbidities, and health care use. PD was inversely associated with IBD overall (OR = 0.85, 95% CI 0.80-0.91) and with both Crohn's disease (OR = 0.83, 95% CI 0.74-0.93) and ulcerative colitis (OR = 0.88, 95% CI 0.82-0.96). Among beneficiaries with ≥2 ICD-9 codes for IBD, there was an inverse dose-response association between number of IBD ICD-9 codes, as a potential proxy for IBD severity, and PD (p-for-trend = 0.006). IBD is associated with a lower risk of developing PD. Copyright © 2018 Elsevier Ltd. All rights reserved.

Use of nesiritide before and after publications suggesting drug-related risks in patients with acute decompensated heart failure.

PubMed

Hauptman, Paul J; Schnitzler, Mark A; Swindle, Jason; Burroughs, Thomas E

2006-10-18

The rate of adoption of new therapies for cardiovascular diseases following the publication of favorable clinical trial results has been studied; however, less is known about the rates of de-adoption of a drug when negative studies are published. To evaluate the use of nesiritide before and after March and April 2005 publications in 2 high-impact journals that suggested an increased risk of renal failure and mortality with intravenous nesiritide for acute decompensated heart failure. Analysis of a large prospective hospital database, developed for quality and utilization benchmarking, of 491 acute care US hospitals at which 385,627 inpatient admissions occurred with a primary International Classification of Diseases, Ninth Revision (ICD-9) code for heart failure between January and August 2001 (prior to nesiritide release) and January 2004 to December 2005 (before and after publication periods). In addition, any patient admitted who received nesiritide in the absence of a primary or secondary heart failure code was evaluated for potential off-label use of the drug. Use of nesiritide and other intravenous vasoactive therapy among patients admitted with heart failure. Nesiritide use decreased from a peak of 16.6% (2351 of 14,167 admissions) in March 2005 to 5.6% (611 of 10,822 admissions) in December 2005 (P<.001). Among those patients treated with nesiritide, the mean duration of treatment changed minimally, from 2.3 to 2.1 days. Although the use of inotropes also decreased during the period under study, the changes were more modest; furthermore, of those patients who were prescribed intravenous vasoactive therapy, a higher percentage were prescribed inotropes after publication (3272 [21.5%] of 15 193 patients from January-April 2005 vs 5750 [29.6%] of 19 445 patients from May-December 2005, P<.001). The use of nesiritide, in the absence of an ICD-9 heart failure code, was small. Rapid de-adoption of nesiritide occurred following 2 publications suggesting risk with the drug. Further analyses are required to evaluate the consequences of these changes on patient outcomes and to anticipate how publications of adverse findings can influence practice.

Coding paediatric outpatient data to provide health planners with information on children with chronic conditions and disabilities.

PubMed

Craig, Elizabeth; Kerr, Neal; McDonald, Gabrielle

2017-03-01

In New Zealand, there is a paucity of information on children with chronic conditions and disabilities (CCD). One reason is that many are managed in hospital outpatients where diagnostic coding of health-care events does not occur. This study explores the feasibility of coding paediatric outpatient data to provide health planners with information on children with CCD. Thirty-seven clinicians from six District Health Boards (DHBs) trialled coding over 12 weeks. In five DHBs, the International Classification of Diseases and Related Health Problems, 10th Edition, Australian Modification (ICD-10-AM) and Systematised Nomenclature of Medicine Clinical Terms (SNOMED-CT) were trialled for 6 weeks each. In one DHB, ICD-10-AM was trialled for 12 weeks. A random sample (30%) of ICD-10-AM coded events were also coded by clinical coders. A mix of paper and electronic methods were used. In total 2,604 outpatient events were coded in ICD-10-AM and 693 in SNOMED-CT. Dual coding occurred for 770 (29.6%) ICD-10-AM events. Overall, 34% of ICD-10-AM and 40% of SNOMED-CT events were for developmental and behavioural disorders. Chronic medical conditions were also common. Clinicians were concerned about the workload impacts, particularly for paper-based methods. Coder's were concerned about clinician's adherence to coding guidelines and the poor quality of documentation in some notes. Coded outpatient data could provide planners with a rich source of information on children with CCD. However, coding is also resource intensive. Thus its costs need to be weighed against the costs of managing a much larger health budget using very limited information. © 2016 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).

Mining Peripheral Arterial Disease Cases from Narrative Clinical Notes Using Natural Language Processing

PubMed Central

Afzal, Naveed; Sohn, Sunghwan; Abram, Sara; Scott, Christopher G.; Chaudhry, Rajeev; Liu, Hongfang; Kullo, Iftikhar J.; Arruda-Olson, Adelaide M.

2016-01-01

Objective Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative notes and compared the performance of the NLP algorithm to billing code algorithms, using ankle-brachial index (ABI) test results as the gold standard. Methods We compared the performance of the NLP algorithm to 1) results of gold standard ABI; 2) previously validated algorithms based on relevant ICD-9 diagnostic codes (simple model) and 3) a combination of ICD-9 codes with procedural codes (full model). A dataset of 1,569 PAD patients and controls was randomly divided into training (n= 935) and testing (n= 634) subsets. Results We iteratively refined the NLP algorithm in the training set including narrative note sections, note types and service types, to maximize its accuracy. In the testing dataset, when compared with both simple and full models, the NLP algorithm had better accuracy (NLP: 91.8%, full model: 81.8%, simple model: 83%, P<.001), PPV (NLP: 92.9%, full model: 74.3%, simple model: 79.9%, P<.001), and specificity (NLP: 92.5%, full model: 64.2%, simple model: 75.9%, P<.001). Conclusions A knowledge-driven NLP algorithm for automatic ascertainment of PAD cases from clinical notes had greater accuracy than billing code algorithms. Our findings highlight the potential of NLP tools for rapid and efficient ascertainment of PAD cases from electronic health records to facilitate clinical investigation and eventually improve care by clinical decision support. PMID:28189359

Three Diagnostic Systems for Autism: DSM-III, DSM-III-R, and ICD-10.

ERIC Educational Resources Information Center

Volkmar, Fred R.; And Others

1992-01-01

This paper compared clinicians' diagnosis and DSM-III (Diagnostic and Statistical Manual), DSM-III-R (Revised), and ICD-10 (International Classification of Diseases) diagnoses of 52 individuals with autism and 62 nonautistic, developmentally disordered individuals. The DSM-III-R system overdiagnosed the presence of autism, and ICD-10 closely…

Visual loss after spine surgery: a population-based study.

PubMed

Patil, Chirag G; Lad, Eleonora M; Lad, Shivanand P; Ho, Chris; Boakye, Maxwell

2008-06-01

Retrospective cohort study using National inpatient sample administrative data. To determine national estimates of visual impairment and ischemic optic neuropathy after spine surgery. Loss of vision after spine surgery is rare but has devastating complications that has gained increasing recognition in the recent literature. National population-based studies of visual complications after spine surgery are lacking. All patients from 1993 to 2002 who underwent spine surgery (Clinical Classifications software procedure code: 3, 158) and who had ischemic optic neuropathy (ION) (ICD9-CM code 377.41), central retinal artery occlusion (CRAO) (ICD9-CM code 362.31) or non-ION, non-CRAO perioperative visual impairment (ICD9-CM codes: 369, 368.4, 368.8-9368.11-13) were included. Univariate and multivariate analysis were performed to identify potential risk factors. The overall incidence of visual disturbance after spine surgery was 0.094%. Spine surgery for scoliosis correction and posterior lumbar fusion had the highest rates of postoperative visual loss of 0.28% and 0.14% respectively. Pediatric patients (<18 years) were 5.8 times and elderly patients (>84 years) were 3.2 times more likely than, patients 18 to 44 years of age to develop non-ION, non-CRAO visual loss after spine surgery. Patients with peripheral vascular disease (OR = 2.0), hypertension (OR = 1.3), and those who received blood transfusion (OR = 2.2) were more likely to develop non-ION, non-CRAO vision loss after spine surgery. Ischemic optic neuropathy was present in 0.006% of patients. Hypotension (OR = 10.1), peripheral vascular disease (OR = 6.3) and anemia (OR = 5.9) were the strongest risk factors identified for the development of ION. We used multivariate analysis to identify significant risk factors for visual loss after spine surgery. National population-based estimate of visual impairment after spine surgery confirms that ophthalmic complications after spine surgery are rare. Since visual loss may be reversible in the early stages, awareness, evaluation and prompt management of this rare but potentially devastating complication is critical.

Accuracy of lung cancer ICD-9-CM codes in Umbria, Napoli 3 Sud and Friuli Venezia Giulia administrative healthcare databases: a diagnostic accuracy study

PubMed Central

Montedori, Alessandro; Bidoli, Ettore; Serraino, Diego; Fusco, Mario; Giovannini, Gianni; Casucci, Paola; Franchini, David; Granata, Annalisa; Ciullo, Valerio; Vitale, Maria Francesca; Gobbato, Michele; Chiari, Rita; Cozzolino, Francesco; Orso, Massimiliano; Orlandi, Walter

2018-01-01

Objectives To assess the accuracy of International Classification of Diseases 9th Revision–Clinical Modification (ICD-9-CM) codes in identifying subjects with lung cancer. Design A cross-sectional diagnostic accuracy study comparing ICD-9-CM 162.x code (index test) in primary position with medical chart (reference standard). Case ascertainment was based on the presence of a primary nodular lesion in the lung and cytological or histological documentation of cancer from a primary or metastatic site. Setting Three operative units: administrative databases from Umbria Region (890 000 residents), ASL Napoli 3 Sud (NA) (1 170 000 residents) and Friuli Venezia Giulia (FVG) Region (1 227 000 residents). Participants Incident subjects with lung cancer (n=386) diagnosed in primary position between 2012 and 2014 and a population of non-cases (n=280). Outcome measures Sensitivity, specificity and positive predictive value (PPV) for 162.x code. Results 130 cases and 94 non-cases were randomly selected from each database and the corresponding medical charts were reviewed. Most of the diagnoses for lung cancer were performed in medical departments. True positive rates were high for all the three units. Sensitivity was 99% (95% CI 95% to 100%) for Umbria, 97% (95% CI 91% to 100%) for NA, and 99% (95% CI 95% to 100%) for FVG. The false positive rates were 24%, 37% and 23% for Umbria, NA and FVG, respectively. PPVs were 79% (73% to 83%)%) for Umbria, 58% (53% to 63%)%) for NA and 79% (73% to 84%)%) for FVG. Conclusions Case ascertainment for lung cancer based on imaging or endoscopy associated with histological examination yielded an excellent sensitivity in all the three administrative databases. PPV was moderate for Umbria and FVG but lower for NA. PMID:29773701

Retention in Medical Care Among Insured Children with Diagnosed HIV Infection - United States, 2010-2014.

PubMed

Tanner, Mary R; Bush, Tim; Nesheim, Steven R; Weidle, Paul J; Byrd, Kathy K

2017-10-06

In 2014, an estimated 2,477 children aged <13 years were living with diagnosed human immunodeficiency virus (HIV) infection in the United States (1). Nationally, little is known about how well children with a diagnosis of HIV infection are retained in medical care. CDC analyzed insurance claims data to evaluate retention in medical care for children in the United States with a diagnosis of HIV infection. Data sources were the 2010-2014 MarketScan Multi-State Medicaid and MarketScan Commercial Claims and Encounters databases. Children aged <13 years with a diagnosis of HIV infection in 2010 were identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic billing codes for HIV or acquired immunodeficiency syndrome (AIDS), resulting in Medicaid and commercial claims cohorts of 163 and 129 children, respectively. Data for each child were evaluated during a 36-month study period, counted from the date of the first claim containing an ICD-9-CM code for HIV or AIDS. Each child's consistency of medical care was assessed by evaluating the frequency of medical visits during the first 24 months of the study period to see if the frequency of visits met the definition of retention in care. Frequency of medical visits was then assessed during an additional 12-month follow-up period to evaluate differences in medical care consistency between children who were retained or not retained in care during the initial 24-month period. During months 0-24, 60% of the Medicaid cohort and 69% of the commercial claims cohort were retained in care, among whom 93% (Medicaid) and 85% (commercial claims) were in care during months 25-36. To identify areas for additional public health action, further evaluation of the objectives for national medical care for children with diagnosed HIV infection is indicated.

Relational machine learning for electronic health record-driven phenotyping.

PubMed

Peissig, Peggy L; Santos Costa, Vitor; Caldwell, Michael D; Rottscheit, Carla; Berg, Richard L; Mendonca, Eneida A; Page, David

2014-12-01

Electronic health records (EHR) offer medical and pharmacogenomics research unprecedented opportunities to identify and classify patients at risk. EHRs are collections of highly inter-dependent records that include biological, anatomical, physiological, and behavioral observations. They comprise a patient's clinical phenome, where each patient has thousands of date-stamped records distributed across many relational tables. Development of EHR computer-based phenotyping algorithms require time and medical insight from clinical experts, who most often can only review a small patient subset representative of the total EHR records, to identify phenotype features. In this research we evaluate whether relational machine learning (ML) using inductive logic programming (ILP) can contribute to addressing these issues as a viable approach for EHR-based phenotyping. Two relational learning ILP approaches and three well-known WEKA (Waikato Environment for Knowledge Analysis) implementations of non-relational approaches (PART, J48, and JRIP) were used to develop models for nine phenotypes. International Classification of Diseases, Ninth Revision (ICD-9) coded EHR data were used to select training cohorts for the development of each phenotypic model. Accuracy, precision, recall, F-Measure, and Area Under the Receiver Operating Characteristic (AUROC) curve statistics were measured for each phenotypic model based on independent manually verified test cohorts. A two-sided binomial distribution test (sign test) compared the five ML approaches across phenotypes for statistical significance. We developed an approach to automatically label training examples using ICD-9 diagnosis codes for the ML approaches being evaluated. Nine phenotypic models for each ML approach were evaluated, resulting in better overall model performance in AUROC using ILP when compared to PART (p=0.039), J48 (p=0.003) and JRIP (p=0.003). ILP has the potential to improve phenotyping by independently delivering clinically expert interpretable rules for phenotype definitions, or intuitive phenotypes to assist experts. Relational learning using ILP offers a viable approach to EHR-driven phenotyping. Copyright © 2014 Elsevier Inc. All rights reserved.

A scalable climate health justice assessment model

PubMed Central

McDonald, Yolanda J.; Grineski, Sara E.; Collins, Timothy W.; Kim, Young-An

2014-01-01

This paper introduces a scalable “climate health justice” model for assessing and projecting incidence, treatment costs, and sociospatial disparities for diseases with well-documented climate change linkages. The model is designed to employ low-cost secondary data, and it is rooted in a perspective that merges normative environmental justice concerns with theoretical grounding in health inequalities. Since the model employs International Classification of Diseases, Ninth Revision Clinical Modification (ICD-9-CM) disease codes, it is transferable to other contexts, appropriate for use across spatial scales, and suitable for comparative analyses. We demonstrate the utility of the model through analysis of 2008–2010 hospitalization discharge data at state and county levels in Texas (USA). We identified several disease categories (i.e., cardiovascular, gastrointestinal, heat-related, and respiratory) associated with climate change, and then selected corresponding ICD-9 codes with the highest hospitalization counts for further analyses. Selected diseases include ischemic heart disease, diarrhea, heat exhaustion/cramps/stroke/syncope, and asthma. Cardiovascular disease ranked first among the general categories of diseases for age-adjusted hospital admission rate (5286.37 per 100,000). In terms of specific selected diseases (per 100,000 population), asthma ranked first (517.51), followed by ischemic heart disease (195.20), diarrhea (75.35), and heat exhaustion/cramps/stroke/syncope (7.81). Charges associated with the selected diseases over the 3-year period amounted to US$5.6 billion. Blacks were disproportionately burdened by the selected diseases in comparison to non-Hispanic whites, while Hispanics were not. Spatial distributions of the selected disease rates revealed geographic zones of disproportionate risk. Based upon a downscaled regional climate-change projection model, we estimate a >5% increase in the incidence and treatment costs of asthma attributable to climate change between the baseline and 2040–2050 in Texas. Additionally, the inequalities described here will be accentuated, with blacks facing amplified health disparities in the future. These predicted trends raise both intergenerational and distributional climate health justice concerns. PMID:25459205

A scalable climate health justice assessment model.

PubMed

McDonald, Yolanda J; Grineski, Sara E; Collins, Timothy W; Kim, Young-An

2015-05-01

This paper introduces a scalable "climate health justice" model for assessing and projecting incidence, treatment costs, and sociospatial disparities for diseases with well-documented climate change linkages. The model is designed to employ low-cost secondary data, and it is rooted in a perspective that merges normative environmental justice concerns with theoretical grounding in health inequalities. Since the model employs International Classification of Diseases, Ninth Revision Clinical Modification (ICD-9-CM) disease codes, it is transferable to other contexts, appropriate for use across spatial scales, and suitable for comparative analyses. We demonstrate the utility of the model through analysis of 2008-2010 hospitalization discharge data at state and county levels in Texas (USA). We identified several disease categories (i.e., cardiovascular, gastrointestinal, heat-related, and respiratory) associated with climate change, and then selected corresponding ICD-9 codes with the highest hospitalization counts for further analyses. Selected diseases include ischemic heart disease, diarrhea, heat exhaustion/cramps/stroke/syncope, and asthma. Cardiovascular disease ranked first among the general categories of diseases for age-adjusted hospital admission rate (5286.37 per 100,000). In terms of specific selected diseases (per 100,000 population), asthma ranked first (517.51), followed by ischemic heart disease (195.20), diarrhea (75.35), and heat exhaustion/cramps/stroke/syncope (7.81). Charges associated with the selected diseases over the 3-year period amounted to US$5.6 billion. Blacks were disproportionately burdened by the selected diseases in comparison to non-Hispanic whites, while Hispanics were not. Spatial distributions of the selected disease rates revealed geographic zones of disproportionate risk. Based upon a downscaled regional climate-change projection model, we estimate a >5% increase in the incidence and treatment costs of asthma attributable to climate change between the baseline and 2040-2050 in Texas. Additionally, the inequalities described here will be accentuated, with blacks facing amplified health disparities in the future. These predicted trends raise both intergenerational and distributional climate health justice concerns. Copyright © 2014 Elsevier Ltd. All rights reserved.

Trends, etiologies, and predictors of 90-day readmission after percutaneous ventricular assist device implantation: A national population-based cohort study.

PubMed

Virk, Hafeez Ul Hassan; Tripathi, Byomesh; Gupta, Shuchita; Agrawal, Akanksha; Dayanand, Sandeep; Inayat, Faisal; Krittanawong, Chayakrit; Ghani, Ali Raza; Zabad, Mohammad Nour; Krishnamoorthy, Parasuram Melarcode; Amanullah, Aman; Pressman, Gregg; Witzke, Christian; Janzer, Sean; George, Jon; Kalra, Sanjog; Figueredo, Vincent

2018-05-01

Percutaneous ventricular assist devices (pVADs) are indicated to provide hemodynamic support in high-risk percutaneous interventions and cardiogenic shock. However, there is a paucity of published data regarding the etiologies and predictors of 90-day readmissions following pVAD use. We studied the data from the US Nationwide Readmissions Database (NRD) for the years 2013 and 2014. Patients with a primary discharge diagnosis of pVAD use were collected by searching the database for International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) procedural code 37.68 (Impella and TandemHeart devices). Amongst this group, we examined 90-day readmission rates. Comorbidities as identified by "CM_" variables provided by the NRD were also extracted. The Charlson Comorbidity Index was calculated using appropriate ICD-9-CM codes, as a secondary diagnosis. A 2-level hierarchical logistic regression model was then used to identify predictors of 90-day readmission following pVAD use. Records from 7074 patients requiring pVAD support during hospitalization showed that 1562 (22%) patients were readmitted within 90 days. Acute decompensated heart failure (22.6%) and acute coronary syndromes (11.2%) were the most common etiologies and heart failure (odds ratio [OR]: 1.39, 95% confidence interval [CI]: 1.17-1.67), chronic obstructive pulmonary disease (OR: 1.26, 95% CI: 1.07-1.49), peripheral vascular disease (OR: 1.305, 95% CI: 1.09-1.56), and discharge into short- or long-term facility (OR: 1.28, 95% CI: 1.08-1.51) were independently associated with an increased risk of 90-day readmission following pVAD use. This study identifies important etiologies and predictors of short-term readmission in this high-risk patient group that can be used for risk stratification, optimizing discharge, and healthcare transition decisions. © 2018 Wiley Periodicals, Inc.

Evidence that dry eye is a comorbid pain condition in a U.S. veteran population

PubMed Central

Lee, Charity J.; Levitt, Roy C.; Felix, Elizabeth R.; Sarantopoulos, Constantine D.; Galor, Anat

2017-01-01

Abstract Introduction: Recent evidence suggests that dry eye (DE) may be comorbid with other chronic pain conditions. Objectives: To evaluate DE as a comorbid condition in the U.S. veteran population. Methods: Retrospective review of veterans seen in the Veterans Administration Healthcare System (Veteran Affairs) between January 1, 2010, and December 31, 2014. Dry eye and nonocular pain disorders were ascertained by International Classification of Diseases, Ninth Revision (ICD-9) codes. Dry eye was further separated into ICD-9 codes representing tear film dysfunction or ocular pain. χ2 and logistic regression analyses were used to examine frequency and risk of DE, ocular pain, and tear film dysfunction by pain disorders. Results: Of 3,265,894 veterans, 959,881 had a DE diagnosis (29.4%). Dry eye frequency increased with the number of pain conditions reported (P < 0.0005). Ocular pain was most strongly associated with headache (odds ratio [OR] 2.98; 95% confidence interval [CI] 2.95–3.01), tension headache (OR 2.64; 95% CI 2.58–2.71), migraine (OR 2.58; 95% CI 2.54–2.61), temporomandibular joint dysfunction (OR 2.39; 95% CI 2.34–2.44), pelvic pain (OR 2.30; 95% CI 2.24–2.37), central pain syndrome (OR 2.24; 95% CI 1.94–2.60), and fibromyalgia/muscle pain (OR 2.23; 95% CI 2.20–2.26), all P < 0.0005. Tear film dysfunction was most closely associated with osteoarthritis (OR 1.97; 95% CI 1.96–1.98) and postherpetic neuralgia (OR 1.95; 95% CI 1.90–2.00), both P < 0.0005. Conclusions: Dry eye, including both ocular pain and tear film dysfunction, is comorbid with pain conditions in this nationwide population, implying common mechanisms. PMID:29392243

Injuries from combat explosions in Iraq: injury type, location, and severity.

PubMed

Eskridge, Susan L; Macera, Caroline A; Galarneau, Michael R; Holbrook, Troy L; Woodruff, Susan I; MacGregor, Andrew J; Morton, Deborah J; Shaffer, Richard A

2012-10-01

Explosions have caused a greater percentage of injuries in Iraq and Afghanistan than in any other large-scale conflict. Improvements in body armour and field medical care have improved survival and changed the injury profile of service personnel. This study's objective was to determine the nature, body region, and severity of injuries caused by an explosion episode in male service personnel. A descriptive analysis was conducted of 4623 combat explosion episodes in Iraq between March 2004 and December 2007. The Barell matrix was used to describe the nature and body regions of injuries due to a combat explosion. A total of 17,637 International Classification of Diseases, Ninth Revision (ICD-9) codes were assigned to the 4623 explosion episodes, with an average of 3.8 ICD-9 codes per episode. The most frequent single injury type was a mild traumatic brain injury (TBI; 10.8%). Other frequent injuries were open wounds in the lower extremity (8.8%) and open wounds of the face (8.2%), which includes tympanic membrane rupture. The extremities were the body regions most often injured (41.3%), followed by head and neck (37.4%) and torso (8.8%). The results of this study support previous observations of TBI as a pre-eminent injury of the wars in Iraq and Afghanistan, with mild TBI as the most common single injury in this large cohort of explosion episodes. The extremities had the highest frequency of injuries for any one body region. The majority of the explosion episodes resulted in more than one injury, and the variety of injuries across nearly every body region and injury type suggests a complex nature of explosion injuries. Understanding the constellation of injuries commonly caused by explosions will assist in the mitigation, treatment, and rehabilitation of the effects of these injuries. Copyright © 2012 Elsevier Ltd. All rights reserved.

Racial/ethnic disparities in emergency department waiting time for stroke patients in the United States.

PubMed

Karve, Sudeep J; Balkrishnan, Rajesh; Mohammad, Yousef M; Levine, Deborah A

2011-01-01

Emergency department waiting time (EDWT), the time from arrival at the ED to evaluation by an emergency physician, is a critical component of acute stroke care. We assessed racial/ethnic differences in EDWT in a national sample of patients with ischemic or hemorrhagic stroke. We identified 543 ED visits for ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 433.x1, 434.xx, and 436.xx) and hemorrhagic stroke (ICD-9-CM codes 430.xx, 431.xx, and 432.xx) in persons age ≥ 18 years representing 2.1 million stroke-related ED visits in the United States using the National Hospital Ambulatory Medical Care Survey for years 1997-2000 and 2003-2005. Using linear regression (outcome, log-transformed EDWT) and logistic regression (outcome, EDWT > 10 minutes, based on National Institute of Neurological Disorders and Stroke guidelines), we adjusted associations between EDWT and race/ethnicity (non-Hispanic whites [designated whites herein], non-Hispanic blacks [blacks], and Hispanics) for age, sex, region, mode of transportation, insurance, hospital characteristics, triage status, hospital admission, stroke type, and survey year. Compared with whites, blacks had a longer EDWT in univariate analysis (67% longer, P = .03) and multivariate analysis (62% longer, P = .03), but Hispanics had a similar EDWT in both univariate analysis (31% longer, P = .65) and multivariate analysis (5% longer, P = .91). Longer EDWT was also seen with nonambulance mode of arrival, urban hospitals, or nonemergency triage. Race was significantly associated with EDWT > 10 minutes (whites, 55% [referent]; blacks, 70% [P = .03]; Hispanics, 62% [P = .53]). These differences persisted after adjustment (blacks: odds ratio [OR] = 2.08, 95% confidence interval [CI] = 1.05-4.09; Hispanics: OR = 1.07, 95% CI = 0.52-2.22). Blacks, but not Hispanics, had significantly longer EDWT than whites. The longer EDWT in black stroke patients may lead to treatment delays and sub-optimal stroke care. Published by Elsevier Inc.

42 CFR Appendix A to Part 81 - Glossary of ICD-9 Codes and Their Cancer Descriptions 1

Code of Federal Regulations, 2013 CFR

2013-10-01

... Malignant neoplasm of brain. 192 Malignant neoplasm of other and unspecified parts of nervous system. 193... and ill-defined sites within the respiratory system and intrathoracic organs. 170 Malignant neoplasm...

42 CFR Appendix A to Part 81 - Glossary of ICD-9 Codes and Their Cancer Descriptions 1

Code of Federal Regulations, 2014 CFR

2014-10-01

... Malignant neoplasm of brain. 192 Malignant neoplasm of other and unspecified parts of nervous system. 193... and ill-defined sites within the respiratory system and intrathoracic organs. 170 Malignant neoplasm...

42 CFR Appendix A to Part 81 - Glossary of ICD-9 Codes and Their Cancer Descriptions 1

Code of Federal Regulations, 2012 CFR

2012-10-01

... Malignant neoplasm of brain. 192 Malignant neoplasm of other and unspecified parts of nervous system. 193... and ill-defined sites within the respiratory system and intrathoracic organs. 170 Malignant neoplasm...

42 CFR Appendix A to Part 81 - Glossary of ICD-9 Codes and Their Cancer Descriptions 1

Code of Federal Regulations, 2011 CFR

2011-10-01

... Malignant neoplasm of brain. 192 Malignant neoplasm of other and unspecified parts of nervous system. 193... and ill-defined sites within the respiratory system and intrathoracic organs. 170 Malignant neoplasm...

A systematic review of validated methods for identifying acute respiratory failure using administrative and claims data.

PubMed

Jones, Natalie; Schneider, Gary; Kachroo, Sumesh; Rotella, Philip; Avetisyan, Ruzan; Reynolds, Matthew W

2012-01-01

The Food and Drug Administration's (FDA) Mini-Sentinel pilot program initially aims to conduct active surveillance to refine safety signals that emerge for marketed medical products. A key facet of this surveillance is to develop and understand the validity of algorithms for identifying health outcomes of interest (HOIs) from administrative and claims data. This paper summarizes the process and findings of the algorithm review of acute respiratory failure (ARF). PubMed and Iowa Drug Information Service searches were conducted to identify citations applicable to the anaphylaxis HOI. Level 1 abstract reviews and Level 2 full-text reviews were conducted to find articles using administrative and claims data to identify ARF, including validation estimates of the coding algorithms. Our search revealed a deficiency of literature focusing on ARF algorithms and validation estimates. Only two studies provided codes for ARF, each using related yet different ICD-9 codes (i.e., ICD-9 codes 518.8, "other diseases of lung," and 518.81, "acute respiratory failure"). Neither study provided validation estimates. Research needs to be conducted on designing validation studies to test ARF algorithms and estimating their predictive power, sensitivity, and specificity. Copyright © 2012 John Wiley & Sons, Ltd.

Incidence Rates and Trend of Serious Farm-Related Injury in Minnesota, 2000-2011.

PubMed

Landsteiner, Adrienne M K; McGovern, Patricia M; Alexander, Bruce H; Lindgren, Paula G; Williams, Allan N

2015-01-01

Only about 2% of Minnesota's workers were employed in agriculture for the years 2005-2012, this small portion of the workforce accounted for 31% of the 563 work-related deaths that occurred in Minnesota during that same time period. Agricultural fatalities in Minnesota and elsewhere are well documented; however, nonfatal injuries are not. To explore the burden of injury, Minnesota hospital discharge data were used to examine rates and trends of farm injury for the years 2000-2011. Cases were identified through the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), injury codes and external cause of injury codes (E codes). Probable cases were defined as E code E849.1 (occurred on a farm) or E919.0 (involving agricultural machinery). Possible cases were based on five less specific E codes primarily involving animals or pesticides. Multiple data sources were used to estimate the agricultural population. An annual average of over 500 cases was identified as probable, whereas 2,000 cases were identified as possible. Trend analysis of all identified cases indicated a small but significant average annual increase of 1.5% for the time period 2000-2011. Probable cases were predominantly male (81.5%), whereas possible cases were predominantly female (63.9%). The average age of an injury case was 38.5 years, with the majority of injuries occurring in late summer and fall months. Despite the undercount of less serious injuries, hospital discharge data provide a meaningful data source for the identification and surveillance of nonfatal agricultural injuries. These methods could be utilized by other states for ongoing surveillance for nonfatal agricultural injuries.

PRIMUS/NAVCARE Cost-Effectiveness Analysis

DTIC Science & Technology

1991-04-08

ICD-9-CM diagnosis codes that occurred most frequently in the medical record sample - 328.9 ( otitis media , unspecified) and 465.9 (upper...when attention is focused upon a single diagnosis, the MTF CECs are no longer consistently above the PRIMUS CECs. For otitis media , the MTF CECs are...CHAMPUS-EQUIVALENT COSTS FOR SELECTED DIAGNOSES 328.9 OTITIS MEDIA , UNSPECIFIED Sample Size Mean 95% Confidence Interval Upper Limit Lower

The Road to ICD-10-CM/PCS Implementation: Forecasting the Transition for Providers, Payers, and Other Healthcare Organizations

PubMed Central

Sanders, Tekla B; Bowens, Felicia M; Pierce, William; Stasher-Booker, Bridgette; Thompson, Erica Q; Jones, Warren A

2012-01-01

This article will examine the benefits and challenges of the US healthcare system's upcoming conversion to use of the International Classification of Diseases, Tenth Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) and will review the cost implications of the transition. Benefits including improved quality of care, potential cost savings from increased accuracy of payments and reduction of unpaid claims, and improved tracking of healthcare data related to public health and bioterrorism events are discussed. Challenges are noted in the areas of planning and implementation, the financial cost of the transition, a shortage of qualified coders, the need for further training and education of the healthcare workforce, and the loss of productivity during the transition. Although the transition will require substantial implementation and conversion costs, potential benefits can be achieved in the areas of data integrity, fraud detection, enhanced cost analysis capabilities, and improved monitoring of patients’ health outcomes that will yield greater cost savings over time. The discussion concludes with recommendations to healthcare organizations of ways in which technological advances and workforce training and development opportunities can ease the transition to the new coding system. PMID:22548024

Foreign bodies in the upper airways causing complications and requiring hospitalization in children aged 0-14 years: results from the ESFBI study.

PubMed

Gregori, Dario; Salerni, Lorenzo; Scarinzi, Cecilia; Morra, Bruno; Berchialla, Paola; Snidero, Silvia; Corradetti, Roberto; Passali, Desiderio

2008-08-01

Foreign body (FB) aspiration/inhalation is a serious problem because it is still a cause of death in children, especially among those younger than 4 years. The objective of this paper is to characterize the risk of complications and prolonged hospitalization due to foreign bodies (FB) in the upper airways in terms of the characteristics of the injured patients (age, gender), typology and features of the FBs, the circumstances of the accident and the hospitalization details. A retrospective study in the major hospitals of 19 European countries was realized on injuries occurred in the years 2000-2002 and identified by means of the International Classification of Diseases, Ninth Revision (ICD-9) codes listed on hospital discharge records. In 170 cases, it was reported an injury due to the presence of a FB in the pharynx and larynx (ICD933) and in 552 records, it was reported a FB located in the trachea, bronchi and lungs (ICD934). Unlike the complications that occurred in 70 (12.7%) of cases, the hospitalizations were present in 433 (77.6) of the total injuries. One patient died. A higher incidence in males (63%) was observed. Median age for children who experienced complications was 2 years. The most common FB removal technique was laryngoscopy and bronchoscopy. In majority of the cases, children were treated by ENT department. The most common FBs were nuts, seeds, berries, corn and beans. In general, small, round crunchy foods pose a risk of choking. Since prevention is the most essential key to deal with these types of injuries, more effort in caregivers' public education is warranted.

Choices in the use of ICD-9 codes to identify stroke risk factors can affect the apparent population-level risk factor prevalence and distribution of CHADS2 scores

PubMed Central

Rothendler, James A; Rose, Adam J; Reisman, Joel I; Berlowitz, Dan R; Kazis, Lewis E

2012-01-01

While developed for managing individuals with atrial fibrillation, risk stratification schemes for stroke, such as CHADS2, may be useful in population-based studies, including those assessing process of care. We investigated how certain decisions in identifying diagnoses from administrative data affect the apparent prevalence of CHADS2-associated diagnoses and distribution of scores. Two sets of ICD-9 codes (more restrictive/ more inclusive) were defined for each CHADS2-associated diagnosis. For stroke/transient ischemic attack (TIA), the more restrictive set was applied to only inpatient data. We varied the number of years (1-3) in searching for relevant codes, and, except for stroke/TIA, the number of instances (1 vs. 2) that diagnoses were required to appear. The impact of choices on apparent disease prevalence varied by type of choice and condition, but was often substantial. Choices resulting in substantial changes in prevalence also tended to be associated with more substantial effects on the distribution of CHADS2 scores. PMID:22937488

Estimation of the rate and number of underreported deliberate self-poisoning attempts in western Iran in 2015

PubMed Central

2017-01-01

OBJECTIVES Rates of attempted deliberate self-poisoning (DSP) are subject to undercounting, underreporting, and denial of the suicide attempt. In this study, we estimated the rate of underreported DSP, which is the most common method of attempted suicide in Iran. METHODS We estimated the rate and number of unaccounted individuals who attempted DSP in western Iran in 2015 using a truncated count model. In this method, the number of people who attempted DSP but were not referred to any health care centers, n0, was calculated through integrating hospital and forensic data. The crude and age-adjusted rates of attempted DSP were estimated directly using the average population size of the city of Kermanshah and the World Health Organization (WHO) world standard population with and without accounting for underreporting. The Monte Carlo method was used to determine the confidence level. RESULTS The recorded number of people who attempted DSP was estimated by different methods to be in the range of 46.6 to 53.2% of the actual number of individuals who attempted DSP. The rate of underreported cases was higher among women than men and decreased as age increased. The rate of underreported cases decreased as the potency and intensity of toxic factors increased. The highest underreporting rates of 69.9, 51.2, and 21.5% were observed when oil and detergents (International Classification of Diseases, 10th revision [ICD-10] code: X66), medications (ICD-10 code: X60-X64), and agricultural toxins (ICD-10 codes: X68, X69) were used for poisoning, respectively. Crude rates, with and without accounting for underreporting, were estimated by the mixture method as 167.5 per 100,000 persons and 331.7 per 100,000 persons, respectively, which decreased to 129.8 per 100,000 persons and 253.1 per 100,000 persons after adjusting for age on the basis of the WHO world standard population. CONCLUSIONS Nearly half of individuals who attempted DSP were not referred to a hospital for treatment or denied the suicide attempt for political or sociocultural reasons. Individuals with no access to counseling services are at a higher risk for repeated suicide attempts and fatal suicides. PMID:28728353

Visual Dysfunction Following Blast-Related Traumatic Brain Injury from the Battlefield

DTIC Science & Technology

2011-01-01

and visual disorders is varied, depending on the diagnostic criteria, condition and patient popu- lation, but has primarily been studied in civilian... diagnostic codes for ‘disorders of the eye and adnexa’ (360.0– 379.9) obtained from electronic outpatient medical records (Standard Ambulatory Data Record) and...disorder diagnostic category by TBI status. ICD-9-CM code and categorya TBI (n¼ 837) Other injury (n¼1417) 360 Disorders of the globe 0 1 ɘ.1% 361

Protocol for a qualitative study exploring perspectives on the INternational CLassification of Diseases (11th revision); Using lived experience to improve mental health Diagnosis in NHS England: INCLUDE study.

PubMed

Hackmann, Corinna; Green, Amanda; Notley, Caitlin; Perkins, Amorette; Reed, Geoffrey M; Ridler, Joseph; Wilson, Jon; Shakespeare, Tom

2017-09-03

Developed in dialogue with WHO, this research aims to incorporate lived experience and views in the refinement of the International Classification of Diseases Mental and Behavioural Disorders 11th Revision (ICD-11). The validity and clinical utility of psychiatric diagnostic systems has been questioned by both service users and clinicians, as not all aspects reflect their lived experience or are user friendly. This is critical as evidence suggests that diagnosis can impact service user experience, identity, service use and outcomes. Feedback and recommendations from service users and clinicians should help minimise the potential for unintended negative consequences and improve the accuracy, validity and clinical utility of the ICD-11. The name INCLUDE reflects the value of expertise by experience as all aspects of the proposed study are co-produced. Feedback on the planned criteria for the ICD-11 will be sought through focus groups with service users and clinicians. The data from these groups will be coded and inductively analysed using a thematic analysis approach. Findings from this will be used to form the basis of co-produced recommendations for the ICD-11. Two service user focus groups will be conducted for each of these diagnoses: Personality Disorder, Bipolar I Disorder, Schizophrenia, Depressive Disorder and Generalised Anxiety Disorder. There will be four focus groups with clinicians (psychiatrists, general practitioners and clinical psychologists). This study has received ethical approval from the Coventry and Warwickshire HRA Research Ethics Committee (16/WM/0479). The output for the project will be recommendations that reflect the views and experiences of experts by experience (service users and clinicians). The findings will be disseminated via conferences and peer-reviewed publications. As the ICD is an international tool, the aim is for the methodology to be internationally disseminated for replication by other groups. ClinicalTrials.gov: NCT03131505. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Development and Validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0.

PubMed

Simon, Tamara D; Haaland, Wren; Hawley, Katherine; Lambka, Karen; Mangione-Smith, Rita

2018-02-26

To modify the Pediatric Medical Complexity Algorithm (PMCA) to include both International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification (ICD-9/10-CM) codes for classifying children with chronic disease (CD) by level of medical complexity and to assess the sensitivity and specificity of the new PMCA version 3.0 for correctly identifying level of medical complexity. To create version 3.0, PMCA version 2.0 was modified to include ICD-10-CM codes. We applied PMCA version 3.0 to Seattle Children's Hospital data for children with ≥1 emergency department (ED), day surgery, and/or inpatient encounter from January 1, 2016, to June 30, 2017. Starting with the encounter date, up to 3 years of retrospective discharge data were used to classify children as having complex chronic disease (C-CD), noncomplex chronic disease (NC-CD), and no CD. We then selected a random sample of 300 children (100 per CD group). Blinded medical record review was conducted to ascertain the levels of medical complexity for these 300 children. The sensitivity and specificity of PMCA version 3.0 was assessed. PMCA version 3.0 identified children with C-CD with 86% sensitivity and 86% specificity, children with NC-CD with 65% sensitivity and 84% specificity, and children without CD with 77% sensitivity and 93% specificity. PMCA version 3.0 is an updated publicly available algorithm that identifies children with C-CD, who have accessed tertiary hospital emergency department, day surgery, or inpatient care, with very good sensitivity and specificity when applied to hospital discharge data and with performance to earlier versions of PMCA. Copyright © 2018 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

ASA grade and Charlson Comorbidity Index of spinal surgery patients: correlation with complications and societal costs.

PubMed

Whitmore, Robert G; Stephen, James H; Vernick, Coleen; Campbell, Peter G; Yadla, Sanjay; Ghobrial, George M; Maltenfort, Mitchell G; Ratliff, John K

2014-01-01

The Charlson Comorbidity Index (CCI) and the American Society of Anesthesiologists (ASA) Physical Status Classification System (ASA grade) are useful for predicting morbidity and mortality for a variety of disease processes. To evaluate CCI and ASA grade as predictors of complications after spinal surgery and examine the correlation between these comorbidity indices and the cost of care. Prospective observational study. All patients undergoing any spine surgery at a single academic tertiary center over a 6-month period. Direct health-care costs estimated from diagnosis related group and Current Procedural Terminology (CPT) codes. Demographic data, including all patient comorbidities, procedural data, and all complications, occurring within 30 days of the index procedure were prospectively recorded. Charlson Comorbidity Index was calculated from International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and ASA grades determined from the operative record. Diagnosis related group and CPT codes were captured for each patient. Direct costs were estimated from a societal perspective using Medicare rates of reimbursement. A multivariable analysis was performed to assess the association of the CCI and ASA grade to the rate of complication and direct health-care costs. Two hundred twenty-six cases were analyzed. The average CCI score for the patient cohort was 0.92, and the average ASA grade was 2.65. The CCI and ASA grade were significantly correlated, with Spearman ρ of 0.458 (p<.001). Both CCI and ASA grade were associated with increasing body mass index (p<.01) and increasing patient age (p<.0001). Increasing CCI was associated with an increasing likelihood of occurrence of any complication (p=.0093) and of minor complications (p=.0032). Increasing ASA grade was significantly associated with an increasing likelihood of occurrence of a major complication (p=.0035). Increasing ASA grade showed a significant association with increasing direct costs (p=.0062). American Society of Anesthesiologists and CCI scores are useful comorbidity indices for the spine patient population, although neither was completely predictive of complication occurrence. A spine-specific comorbidity index, based on ICD-9-CM coding that could be easily captured from patient records, and which is predictive of patient likelihood of complications and mortality, would be beneficial in patient counseling and choice of operative intervention. Copyright © 2014 Elsevier Inc. All rights reserved.

Overcoming barriers to population-based injury research: development and validation of an ICD-10–to–AIS algorithm

PubMed Central

Haas, Barbara; Xiong, Wei; Brennan-Barnes, Maureen; Gomez, David; Nathens, Avery B.

2012-01-01

Background Hospital administrative databases are a useful source of population-level data on injured patients; however, these databases use the International Classification of Diseases (ICD) system, which does not provide a direct means of estimating injury severity. We created and validated a crosswalk to derive Abbreviated Injury Scale (AIS) scores from injury-related diagnostic codes in the tenth revision of the ICD (ICD-10). Methods We assessed the validity of the crosswalk using data from the Ontario Trauma Registry Comprehensive Data Set (OTR-CDS). The AIS and Injury Severity Scores (ISS) derived using the algorithm were compared with those assigned by expert abstractors. We evaluated the ability of the algorithm to identify patients with AIS scores of 3 or greater. We used κ and intraclass correlation coefficients (ICC) as measures of concordance. Results In total, 10 431 patients were identified in the OTR-CDS. The algorithm accurately identified patients with at least 1 AIS score of 3 or greater (κ 0.65), as well as patients with a head AIS score of 3 or greater (κ 0.78). Mapped and abstracted ISS were similar; ICC across the entire cohort was 0.83 (95% confidence interval 0.81–0.84), indicating good agreement. When comparing mapped and abstracted ISS, the difference between scores was 10 or less in 87% of patients. Concordance between mapped and abstracted ISS was similar across strata of age, mechanism of injury and mortality. Conclusion Our ICD-10–to–AIS algorithm produces reliable estimates of injury severity from data available in administrative databases. This algorithm can facilitate the use of administrative data for population-based injury research in jurisdictions using ICD-10. PMID:22269308

Overcoming barriers to population-based injury research: development and validation of an ICD10-to-AIS algorithm.

PubMed

Haas, Barbara; Xiong, Wei; Brennan-Barnes, Maureen; Gomez, David; Nathens, Avery B

2012-02-01

Hospital administrative databases are a useful source of population-level data on injured patients; however, these databases use the International Classification of Diseases (ICD) system, which does not provide a direct means of estimating injury severity. We created and validated a crosswalk to derive Abbreviated Injury Scale (AIS) scores from injury-related diagnostic codes in the tenth revision of the ICD (ICD-10). We assessed the validity of the crosswalk using data from the Ontario Trauma Registry Comprehensive Data Set (OTRCDS). The AIS and Injury Severity Scores (ISS) derived using the algorithm were compared with those assigned by expert abstractors. We evaluated the ability of the algorithm to identify patients with AIS scores of 3 or greater. We used κ and intraclass correlation coefficients (ICC) as measures of concordance. In total, 10 431 patients were identified in the OTRCDS. The algorithm accurately identified patients with at least 1 AIS score of 3 or greater (κ 0.65), as well as patients with a head AIS score of 3 or greater (κ 0.78). Mapped and abstracted ISS were similar; ICC across the entire cohort was 0.83 (95% confidence interval 0.81-0.84), indicating good agreement. When comparing mapped and abstracted ISS, the difference between scores was 10 or less in 87% of patients. Concordance between mapped and abstracted ISS was similar across strata of age, mechanism of injury and mortality. Our ICD-10-to-AIS algorithm produces reliable estimates of injury severity from data available in administrative databases. This algorithm can facilitate the use of administrative data for population-based injury research in jurisdictions using ICD-10.

Time to add a new priority target for child injury prevention? The case for an excess burden associated with sport and exercise injury: population-based study

PubMed Central

Finch, Caroline F; Wong Shee, Anna; Clapperton, Angela

2014-01-01

Objective To determine the population-level burden of sports injuries compared with that for road traffic injury for children aged <15 years in Victoria, Australia. Design Retrospective observational study. Setting Analysis of routinely collected data relating to non-fatal hospital-treated sports injury and road traffic injury cases for children aged <15 years in Victoria, Australia, over 2004–2010, inclusive. Participants 75 413 non-fatal hospital-treated sports injury and road traffic injury cases in children aged <15 years. Data included: all Victorian public and private hospital hospitalisations, using the International Statistical Classification of Diseases and Health Related Problems, 10th Revision, Australian Modification (ICD-10-AM) activity codes to identify sports-related cases and ICD-10-AM cause and location codes to identify road traffic injuries; and injury presentations to 38 Victorian public hospital emergency departments, using a combination of activity, cause and location codes. Main outcome measures Trends in injury frequency and rate were analysed by log-linear Poisson regression and the population-level injury burden was assessed in terms of years lived with disability (YLD), hospital bed-days and direct hospital costs. Results Over the 7-year period, the annual frequency of non-fatal hospital-treated sports injury increased significantly by 29% (from N=7405 to N=9923; p<0.001) but the frequency of non-fatal hospital-treated road traffic injury decreased by 26% (from N=1841 to N=1334; p<0.001). Sports injury accounted for a larger population health burden than did road traffic injury on all measures: 3-fold the number of YLDs (7324.8 vs 2453.9); 1.9-fold the number of bed-days (26 233 vs 13 886) and 2.6-fold the direct hospital costs ($A5.9 millions vs $A2.2 millions). Conclusions The significant 7-year increase in the frequency of hospital-treated sports injury and the substantially higher injury population-health burden (direct hospital costs, bed-day usage and YLD impacts) for sports injury compared with road traffic injury for children aged <15 years indicates an urgent need to prioritise sports injury prevention in this age group. PMID:24993758

Leukemia risk among U. S. white male coal miners. A case-control study

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gilman, P.A.; Ames, R.G.; McCawley, M.A.

The relevance of occupational exposure to electrical and magnetic fields (EMF) in the etiology of leukemia has been raised in several studies. Underground coal miners represent an occupational group with situationally determined EMF exposure, as high-voltage power distribution lines are strung overhead in the mines and converters and step-down transformers provide power to mining equipment. Risk in occupational exposure to EMF was examined in a case-control study of 40 leukemia decedents and 160 control subjects who died of causes other than cancer or accident and who were matched on age at death. Based on these data, 25 or more yearsmore » of underground mining, a surrogate of EMF exposure, was found to pose a statistically significant risk for leukemia (International Classification of Diseases (ICD) codes 204 through 207, eighth revision), myelogenous leukemia (ICD 205), and chronic lymphocytic leukemia (CLL) (ICD 204.1). Accumulative exposure to chemical agents probably poses a risk for acute myelogenous leukemia, although this relationship fell short of being statistically significant. Although CLL has not previously been attributed to environmental agents, these data suggest a possible CLL risk from prolonged exposure to EMF.« less

Pediatric medical complexity algorithm: a new method to stratify children by medical complexity.

PubMed

Simon, Tamara D; Cawthon, Mary Lawrence; Stanford, Susan; Popalisky, Jean; Lyons, Dorothy; Woodcox, Peter; Hood, Margaret; Chen, Alex Y; Mangione-Smith, Rita

2014-06-01

The goal of this study was to develop an algorithm based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes for classifying children with chronic disease (CD) according to level of medical complexity and to assess the algorithm's sensitivity and specificity. A retrospective observational study was conducted among 700 children insured by Washington State Medicaid with ≥1 Seattle Children's Hospital emergency department and/or inpatient encounter in 2010. The gold standard population included 350 children with complex chronic disease (C-CD), 100 with noncomplex chronic disease (NC-CD), and 250 without CD. An existing ICD-9-CM-based algorithm called the Chronic Disability Payment System was modified to develop a new algorithm called the Pediatric Medical Complexity Algorithm (PMCA). The sensitivity and specificity of PMCA were assessed. Using hospital discharge data, PMCA's sensitivity for correctly classifying children was 84% for C-CD, 41% for NC-CD, and 96% for those without CD. Using Medicaid claims data, PMCA's sensitivity was 89% for C-CD, 45% for NC-CD, and 80% for those without CD. Specificity was 90% to 92% in hospital discharge data and 85% to 91% in Medicaid claims data for all 3 groups. PMCA identified children with C-CD (who have accessed tertiary hospital care) with good sensitivity and good to excellent specificity when applied to hospital discharge or Medicaid claims data. PMCA may be useful for targeting resources such as care coordination to children with C-CD. Copyright © 2014 by the American Academy of Pediatrics.

Pediatric Medical Complexity Algorithm: A New Method to Stratify Children by Medical Complexity

PubMed Central

Cawthon, Mary Lawrence; Stanford, Susan; Popalisky, Jean; Lyons, Dorothy; Woodcox, Peter; Hood, Margaret; Chen, Alex Y.; Mangione-Smith, Rita

2014-01-01

OBJECTIVES: The goal of this study was to develop an algorithm based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), codes for classifying children with chronic disease (CD) according to level of medical complexity and to assess the algorithm’s sensitivity and specificity. METHODS: A retrospective observational study was conducted among 700 children insured by Washington State Medicaid with ≥1 Seattle Children’s Hospital emergency department and/or inpatient encounter in 2010. The gold standard population included 350 children with complex chronic disease (C-CD), 100 with noncomplex chronic disease (NC-CD), and 250 without CD. An existing ICD-9-CM–based algorithm called the Chronic Disability Payment System was modified to develop a new algorithm called the Pediatric Medical Complexity Algorithm (PMCA). The sensitivity and specificity of PMCA were assessed. RESULTS: Using hospital discharge data, PMCA’s sensitivity for correctly classifying children was 84% for C-CD, 41% for NC-CD, and 96% for those without CD. Using Medicaid claims data, PMCA’s sensitivity was 89% for C-CD, 45% for NC-CD, and 80% for those without CD. Specificity was 90% to 92% in hospital discharge data and 85% to 91% in Medicaid claims data for all 3 groups. CONCLUSIONS: PMCA identified children with C-CD (who have accessed tertiary hospital care) with good sensitivity and good to excellent specificity when applied to hospital discharge or Medicaid claims data. PMCA may be useful for targeting resources such as care coordination to children with C-CD. PMID:24819580

Physical restraint use and falls in nursing homes: a comparison between residents with and without dementia.

PubMed

Luo, Huabin; Lin, Michael; Castle, Nicholas

2011-02-01

To estimate the use of different types of physical restraints and assess their associations to falls and injuries among residents with and without Alzheimer's disease (AD) or dementia in US nursing homes. Data were from the 2004 National Nursing Home Survey. AD or dementia was identified using International Classification of Diseases, Ninth Revision (ICD-9) codes. Analyses were conducted with the Surveyfreq and Surveylogistic procedures in SAS v.9.1. Residents with either AD or dementia were more likely to be physically restrained (9.99% vs 3.91%, P < .001) and less likely to have bed rails (35.06% vs 38.43%, P < .001) than those residents without the disease. The use of trunk restraints was associated with higher risk for falls (adjusted odds ratio [AOR] = 1.66, P < .001) and fractures (AOR = 2.77, P < .01) among residents with the disease. The use of full bed rails was associated with lower risk for falls among residents with and without the disease (AOR = 0.67 and AOR = 0.72, Ps < .05, respectively). The use of a trunk restraint is associated with a higher risk for falls and fractures among residents with either AD or dementia.

The Spanish national health care-associated infection surveillance network (INCLIMECC): data summary January 1997 through December 2006 adapted to the new National Healthcare Safety Network Procedure-associated module codes.

PubMed

Pérez, Cristina Díaz-Agero; Rodela, Ana Robustillo; Monge Jodrá, Vincente

2009-12-01

In 1997, a national standardized surveillance system (designated INCLIMECC [Indicadores Clínicos de Mejora Continua de la Calidad]) was established in Spain for health care-associated infection (HAI) in surgery patients, based on the National Nosocomial Infection Surveillance (NNIS) system. In 2005, in its procedure-associated module, the National Healthcare Safety Network (NHSN) inherited the NNIS program for surveillance of HAI in surgery patients and reorganized all surgical procedures. INCLIMECC actively monitors all patients referred to the surgical ward of each participating hospital. We present a summary of the data collected from January 1997 to December 2006 adapted to the new NHSN procedures. Surgical site infection (SSI) rates are provided by operative procedure and NNIS risk index category. Further quality indicators reported are surgical complications, length of stay, antimicrobial prophylaxis, mortality, readmission because of infection or other complication, and revision surgery. Because the ICD-9-CM surgery procedure code is included in each patient's record, we were able to reorganize our database avoiding the loss of extensive information, as has occurred with other systems.

Comparison of Vital Statistics Definitions of Suicide against a Coroner Reference Standard: A Population-Based Linkage Study.

PubMed

Gatov, Evgenia; Kurdyak, Paul; Sinyor, Mark; Holder, Laura; Schaffer, Ayal

2018-03-01

We sought to determine the utility of health administrative databases for population-based suicide surveillance, as these data are generally more accessible and more integrated with other data sources compared to coroners' records. In this retrospective validation study, we identified all coroner-confirmed suicides between 2003 and 2012 in Ontario residents aged 21 and over and linked this information to Statistics Canada's vital statistics data set. We examined the overlap between the underlying cause of death field and secondary causes of death using ICD-9 and ICD-10 codes for deliberate self-harm (i.e., suicide) and examined the sociodemographic and clinical characteristics of misclassified records. Among 10,153 linked deaths, there was a very high degree of overlap between records coded as deliberate self-harm in the vital statistics data set and coroner-confirmed suicides using both ICD-9 and ICD-10 definitions (96.88% and 96.84% sensitivity, respectively). This alignment steadily increased throughout the study period (from 95.9% to 98.8%). Other vital statistics diagnoses in primary fields included uncategorised signs and symptoms. Vital statistics records that were misclassified did not differ from valid records in terms of sociodemographic characteristics but were more likely to have had an unspecified place of injury on the death certificate ( P < 0.001), more likely to have died at a health care facility ( P < 0.001), to have had an autopsy ( P = 0.002), and to have been admitted to a psychiatric hospital in the year preceding death ( P = 0.03). A high degree of concordance between vital statistics and coroner classification of suicide deaths suggests that health administrative data can reliably be used to identify suicide deaths.

[Coding Causes of Death with IRIS Software. Impact in Navarre Mortality Statistic].

PubMed

Floristán Floristán, Yugo; Delfrade Osinaga, Josu; Carrillo Prieto, Jesus; Aguirre Perez, Jesus; Moreno-Iribas, Conchi

2016-08-02

There are few studies that analyze changes in mortality statistics derived from the use of IRIS software, an automatic system for coding multiple causes of death and for the selection of the underlying cause of death, compared to manual coding. This study evaluated the impact of the use of IRIS in the Navarre mortality statistic. We proceeded to double coding 5,060 death certificates corresponding to residents in Navarra in 2014. We calculated coincidence between the two encodings for ICD10 chapters and for the list of causes of the Spanish National Statistics Institute (INE-102) and we estimated the change on mortality rates. IRIS automatically coded 90% of death certificates. The coincidence to 4 characters and in the same chapter of the CIE10 was 79.1% and 92.0%, respectively. Furthermore, coincidence with the short INE-102 list was 88.3%. Higher matches were found in death certificate of people under 65 years. In comparison with manual coding there was an increase in deaths from endocrine diseases (31%), mental disorders (19%) and disease of nervous system (9%), while a decrease of genitourinary system diseases was observed (21%). The coincidence at level of ICD10 chapters coding by IRIS in comparison to manual coding was 9 out of 10 deaths, similar to what is observed in other studies. The implementation of IRIS has led to increased of endocrine diseases, especially diabetes and hyperlipidaemia, and mental disorders, especially dementias.

Neurodevelopmental Disorders (ASD and ADHD): DSM-5, ICD-10, and ICD-11.

PubMed

Doernberg, Ellen; Hollander, Eric

2016-08-01

Neurodevelopmental disorders, specifically autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have undergone considerable diagnostic evolution in the past decade. In the United States, the current system in place is the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), whereas worldwide, the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) serves as a general medical system. This review will examine the differences in neurodevelopmental disorders between these two systems. First, we will review the important revisions made from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) to the DSM-5, with respect to ASD and ADHD. Next, we will cover the similarities and differences between ASD and ADHD classification in the DSM-5 and the ICD-10, and how these differences may have an effect on neurodevelopmental disorder diagnostics and classification. By examining the changes made for the DSM-5 in 2013, and critiquing the current ICD-10 system, we can help to anticipate and advise on the upcoming ICD-11, due to come online in 2017. Overall, this review serves to highlight the importance of progress towards complementary diagnostic classification systems, keeping in mind the difference in tradition and purpose of the DSM and the ICD, and that these systems are dynamic and changing as more is learned about neurodevelopmental disorders and their underlying etiology. Finally this review will discuss alternative diagnostic approaches, such as the Research Domain Criteria (RDoC) initiative, which links symptom domains to underlying biological and neurological mechanisms. The incorporation of new diagnostic directions could have a great effect on treatment development and insurance coverage for neurodevelopmental disorders worldwide.

Outpatient clinic visits during heat waves: findings from a large family medicine clinical database.

PubMed

Vashishtha, Devesh; Sieber, William; Hailey, Brittany; Guirguis, Kristen; Gershunov, Alexander; Al-Delaimy, Wael K

2018-03-10

The purpose of this study was to determine whether heat waves are associated with increased frequency of clinic visits for ICD-9 codes of illnesses traditionally associated with heat waves. During 4 years of family medicine clinic data between 2012 and 2016, we identified six heat wave events in San Diego County. For each heat wave event, we selected a control period in the same season that was twice as long. Scheduling a visit on a heat wave day (versus a non-heat wave day) was the primary predictor, and receiving a primary ICD-9 disease code related to heat waves was the outcome. Analyses were adjusted for age, gender, race/ethnicity and marital status. Of the 5448 visits across the heat wave and control periods, 6.4% of visits (n = 346) were for heat wave-related diagnoses. Scheduling a visit on heat wave day was not associated with receiving a heat wave-related ICD code as compared with the control period (adjusted odds ratio: 1.35; 95% confidence interval: 0.86-1.36; P = 0.51). We show that in a relatively large and demographically diverse population, patients who schedule appointments during heat waves are not being more frequently seen for diagnoses typically associated with heat waves in the acute setting. Given that heat waves are increasing in frequency due to climate change, there is an opportunity to increase utilization of primary care clinics during heat waves.

Examination of the accuracy of coding hospital-acquired pressure ulcer stages.

PubMed

Coomer, Nicole M; McCall, Nancy T

2013-01-01

Pressure ulcers (PU) are considered harmful conditions that are reasonably prevented if accepted standards of care are followed. They became subject to the payment adjustment for hospitalacquired conditions (HACs) beginning October 1, 2008. We examined several aspects of the accuracy of coding for pressure ulcers under the Medicare Hospital-Acquired Condition Present on Admission (HAC-POA) Program. We used the "4010" claim format as a basis of reference to show some of the issues of the old format, such as the underreporting of pressure ulcer stages on pressure ulcer claims and how the underreporting varied by hospital characteristics. We then used the rate of Stage III and IV pressure ulcer HACs reported in the Hospital Cost and Utilization Project State Inpatient Databases data to look at the sensitivity of PU HAC-POA coding to the number of diagnosis fields. We examined Medicare claims data for FYs 2009 and 2010 to examine the degree that the presence of stage codes were underreported on pressure ulcer claims. We selected all claims with a secondary diagnosis code of pressure ulcer site (ICD-9 diagnosis codes 707.00-707.09) that were not reported as POA (POA of "N" or "U"). We then created a binary indicator for the presence of any pressure ulcer stage diagnosis code. We examine the percentage of claims with a diagnosis of a pressure ulcer site code with no accompanying pressure ulcer stage code. Our results point to underreporting of PU stages under the "4010" format and that the reporting of stage codes varied across hospital type and location. Further, our results indicate that under the "5010" format, a higher number of pressure ulcer HACs can be expected to be reported and we should expect to encounter a larger percentage of pressure ulcers incorrectly coded as POA under the new format. The combination of the capture of 25 diagnosis codes under the new "5010" format and the change from ICD-9 to ICD-10 will likely alleviate the observed underreporting of pressure ulcer HACs. However, as long as coding guidelines direct that Stage III and IV pressure ulcers be coded as POA, if a lower stage pressure ulcer was POA and progressed to a higher stage pressure ulcer during the admission, the acquisition of Stage III and IV pressure ulcers in the hospital will be underreported.

Diagnostic Concordance between DSM-5 and ICD-10 Cannabis Use Disorders.

PubMed

Proctor, Steven L; Williams, Daniel C; Kopak, Albert M; Voluse, Andrew C; Connolly, Kevin M; Hoffmann, Norman G

2016-07-01

With the recent federal mandate that all U.S. health care settings transition to ICD-10 billing codes, empirical evidence is necessary to determine if the DSM-5 designations map to their respective ICD-10 diagnostic categories/billing codes. The present study examined the concordance between DSM-5 and ICD-10 cannabis use disorder diagnoses. Data were derived from routine clinical assessments of 6871 male and 801 female inmates recently admitted to a state prison system from 2000 to 2003. DSM-5 and ICD-10 diagnostic determinations were made from algorithms corresponding to the respective diagnostic formulations. Past 12-month prevalence rates of cannabis use disorders were comparable across classification systems. The vast majority of inmates with no DSM-5 diagnosis continued to have no diagnosis per the ICD-10, and a similar proportion with a DSM-5 severe diagnosis received an ICD-10 dependence diagnosis. Most of the variation in diagnostic classifications was accounted for by those with a DSM-5 moderate diagnosis in that approximately half of these cases received an ICD-10 dependence diagnosis while the remaining cases received a harmful use diagnosis. Although there appears to be a generally high level of agreement between diagnostic classification systems for those with no diagnosis or those evincing symptoms of a more severe condition, concordance between DSM-5 moderate and ICD-10 dependence diagnoses was poor. Additional research is warranted to determine the appropriateness and implications of the current DSM-5 coding guidelines regarding the assignment of an ICD-10 dependence code for those with a DSM-5 moderate diagnosis. Copyright © 2016 Elsevier Ltd. All rights reserved.

Identifying Patients for Clinical Studies from Electronic Health Records: TREC 2012 Medical Records Track at OHSU

DTIC Science & Technology

2012-11-01

causes of hypertension ") AND NOT(report_text:"pulmonary| portal hypertension " OR report_text:"secondary to hypertension ") 182 Patients with Ischemic... hypertension , and tachycardia (discharge_icd_codes_txt:293.0 OR report_text:delirium) AND (discharge_icd_codes_txt:401.* OR discharge_icd_codes_txt:405...report_text:"**AGE[in teens") 162 Patients with hypertension on anti- hypertensive medication (report_text:" hypertension " OR report_text:"high blood

Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease.

PubMed

Small, Aeron M; Kiss, Daniel H; Zlatsin, Yevgeny; Birtwell, David L; Williams, Heather; Guerraty, Marie A; Han, Yuchi; Anwaruddin, Saif; Holmes, John H; Chirinos, Julio A; Wilensky, Robert L; Giri, Jay; Rader, Daniel J

2017-08-01

Interrogation of the electronic health record (EHR) using billing codes as a surrogate for diagnoses of interest has been widely used for clinical research. However, the accuracy of this methodology is variable, as it reflects billing codes rather than severity of disease, and depends on the disease and the accuracy of the coding practitioner. Systematic application of text mining to the EHR has had variable success for the detection of cardiovascular phenotypes. We hypothesize that the application of text mining algorithms to cardiovascular procedure reports may be a superior method to identify patients with cardiovascular conditions of interest. We adapted the Oracle product Endeca, which utilizes text mining to identify terms of interest from a NoSQL-like database, for purposes of searching cardiovascular procedure reports and termed the tool "PennSeek". We imported 282,569 echocardiography reports representing 81,164 individuals and 27,205 cardiac catheterization reports representing 14,567 individuals from non-searchable databases into PennSeek. We then applied clinical criteria to these reports in PennSeek to identify patients with trileaflet aortic stenosis (TAS) and coronary artery disease (CAD). Accuracy of patient identification by text mining through PennSeek was compared with ICD-9 billing codes. Text mining identified 7115 patients with TAS and 9247 patients with CAD. ICD-9 codes identified 8272 patients with TAS and 6913 patients with CAD. 4346 patients with AS and 6024 patients with CAD were identified by both approaches. A randomly selected sample of 200-250 patients uniquely identified by text mining was compared with 200-250 patients uniquely identified by billing codes for both diseases. We demonstrate that text mining was superior, with a positive predictive value (PPV) of 0.95 compared to 0.53 by ICD-9 for TAS, and a PPV of 0.97 compared to 0.86 for CAD. These results highlight the superiority of text mining algorithms applied to electronic cardiovascular procedure reports in the identification of phenotypes of interest for cardiovascular research. Copyright © 2017. Published by Elsevier Inc.

Proposed declassification of disease categories related to sexual orientation in the International Statistical Classification of Diseases and Related Health Problems (ICD-11).

PubMed

Cochran, Susan D; Drescher, Jack; Kismödi, Eszter; Giami, Alain; García-Moreno, Claudia; Atalla, Elham; Marais, Adele; Vieira, Elisabeth Meloni; Reed, Geoffrey M

2014-09-01

The World Health Organization is developing the 11th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-11), planned for publication in 2017. The Working Group on the Classification of Sexual Disorders and Sexual Health was charged with reviewing and making recommendations on disease categories related to sexuality in the chapter on mental and behavioural disorders in the 10th revision (ICD-10), published in 1990. This chapter includes categories for diagnoses based primarily on sexual orientation even though ICD-10 states that sexual orientation alone is not a disorder. This article reviews the scientific evidence and clinical rationale for continuing to include these categories in the ICD. A review of the evidence published since 1990 found little scientific interest in these categories. In addition, the Working Group found no evidence that they are clinically useful: they neither contribute to health service delivery or treatment selection nor provide essential information for public health surveillance. Moreover, use of these categories may create unnecessary harm by delaying accurate diagnosis and treatment. The Working Group recommends that these categories be deleted entirely from ICD-11. Health concerns related to sexual orientation can be better addressed using other ICD categories.

Proposed declassification of disease categories related to sexual orientation in the International Statistical Classification of Diseases and Related Health Problems (ICD-11)

PubMed Central

Drescher, Jack; Kismödi, Eszter; Giami, Alain; García-Moreno, Claudia; Atalla, Elham; Marais, Adele; Vieira, Elisabeth Meloni; Reed, Geoffrey M

2014-01-01

Abstract The World Health Organization is developing the 11th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-11), planned for publication in 2017. The Working Group on the Classification of Sexual Disorders and Sexual Health was charged with reviewing and making recommendations on disease categories related to sexuality in the chapter on mental and behavioural disorders in the 10th revision (ICD-10), published in 1990. This chapter includes categories for diagnoses based primarily on sexual orientation even though ICD-10 states that sexual orientation alone is not a disorder. This article reviews the scientific evidence and clinical rationale for continuing to include these categories in the ICD. A review of the evidence published since 1990 found little scientific interest in these categories. In addition, the Working Group found no evidence that they are clinically useful: they neither contribute to health service delivery or treatment selection nor provide essential information for public health surveillance. Moreover, use of these categories may create unnecessary harm by delaying accurate diagnosis and treatment. The Working Group recommends that these categories be deleted entirely from ICD-11. Health concerns related to sexual orientation can be better addressed using other ICD categories. PMID:25378758

Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria.

PubMed

Peterson, Rachel; Gundlapalli, Adi V; Metraux, Stephen; Carter, Marjorie E; Palmer, Miland; Redd, Andrew; Samore, Matthew H; Fargo, Jamison D

2015-01-01

Researchers at the U.S. Department of Veterans Affairs (VA) have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012) of Veterans recently separated from the military and identified as homeless using VA conventional identification criteria (ICD-9-CM code V60.0, VA specific codes for homeless services), plus closely allied V60 codes indicating housing instability. Logistic regression analyses examined differences between Veterans who received these codes. Health care services and co-morbidities were analyzed in the 90 days post-identification of homelessness. VA conventional criteria identified 21,021 homeless Veterans from Operations Enduring Freedom, Iraqi Freedom, and New Dawn (rate 2.5%). Adding allied V60 codes increased that to 31,260 (rate 3.3%). While certain demographic differences were noted, Veterans identified as homeless using conventional or allied codes were similar with regards to utilization of homeless, mental health, and substance abuse services, as well as co-morbidities. Differences were noted in the pattern of usage of homelessness-related diagnostic codes in VA facilities nation-wide. Creating an official VA case definition for homelessness, which would include additional ICD-9-CM and other administrative codes for VA homeless services, would likely allow improved identification of homeless and at-risk Veterans. This also presents an opportunity for encouraging uniformity in applying these codes in VA facilities nationwide as well as in other large health care organizations.

Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria

PubMed Central

Peterson, Rachel; Gundlapalli, Adi V.; Metraux, Stephen; Carter, Marjorie E.; Palmer, Miland; Redd, Andrew; Samore, Matthew H.; Fargo, Jamison D.

2015-01-01

Researchers at the U.S. Department of Veterans Affairs (VA) have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012) of Veterans recently separated from the military and identified as homeless using VA conventional identification criteria (ICD-9-CM code V60.0, VA specific codes for homeless services), plus closely allied V60 codes indicating housing instability. Logistic regression analyses examined differences between Veterans who received these codes. Health care services and co-morbidities were analyzed in the 90 days post-identification of homelessness. VA conventional criteria identified 21,021 homeless Veterans from Operations Enduring Freedom, Iraqi Freedom, and New Dawn (rate 2.5%). Adding allied V60 codes increased that to 31,260 (rate 3.3%). While certain demographic differences were noted, Veterans identified as homeless using conventional or allied codes were similar with regards to utilization of homeless, mental health, and substance abuse services, as well as co-morbidities. Differences were noted in the pattern of usage of homelessness-related diagnostic codes in VA facilities nation-wide. Creating an official VA case definition for homelessness, which would include additional ICD-9-CM and other administrative codes for VA homeless services, would likely allow improved identification of homeless and at-risk Veterans. This also presents an opportunity for encouraging uniformity in applying these codes in VA facilities nationwide as well as in other large health care organizations. PMID:26172386

Treated Incidence of Psychotic Disorders in the Multinational EU-GEI Study.

PubMed

Jongsma, Hannah E; Gayer-Anderson, Charlotte; Lasalvia, Antonio; Quattrone, Diego; Mulè, Alice; Szöke, Andrei; Selten, Jean-Paul; Turner, Caitlin; Arango, Celso; Tarricone, Ilaria; Berardi, Domenico; Tortelli, Andrea; Llorca, Pierre-Michel; de Haan, Lieuwe; Bobes, Julio; Bernardo, Miguel; Sanjuán, Julio; Santos, José Luis; Arrojo, Manuel; Del-Ben, Cristina Marta; Menezes, Paulo Rossi; Velthorst, Eva; Murray, Robin M; Rutten, Bart P; Jones, Peter B; van Os, Jim; Morgan, Craig; Kirkbride, James B

2018-01-01

Psychotic disorders contribute significantly to the global disease burden, yet the latest international incidence study of psychotic disorders was conducted in the 1980s. To estimate the incidence of psychotic disorders using comparable methods across 17 catchment areas in 6 countries and to examine the variance between catchment areas by putative environmental risk factors. An international multisite incidence study (the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions) was conducted from May 1, 2010, to April 1, 2015, among 2774 individuals from England (2 catchment areas), France (3 catchment areas), Italy (3 catchment areas), the Netherlands (2 catchment areas), Spain (6 catchment areas), and Brazil (1 catchment area) with a first episode of nonorganic psychotic disorders (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] codes F20-F33) confirmed by the Operational Criteria Checklist. Denominator populations were estimated using official national statistics. Age, sex, and racial/ethnic minority status were treated as a priori confounders. Latitude, population density, percentage unemployment, owner-occupied housing, and single-person households were treated as catchment area-level exposures. Incidence of nonorganic psychotic disorders (ICD-10 codes F20-F33), nonaffective psychoses (ICD-10 codes F20-F29), and affective psychoses (ICD-10 codes F30-F33) confirmed by the Operational Criteria Checklist. A total of 2774 patients (1196 women and 1578 men; median age, 30.5 years [interquartile range, 23.0-41.0 years]) with incident cases of psychotic disorders were identified during 12.9 million person-years at risk (crude incidence, 21.4 per 100 000 person-years; 95% CI, 19.4-23.4 per 100 000 person-years). A total of 2183 patients (78.7%) had nonaffective psychotic disorders. After direct standardization for age, sex, and racial/ethnic minority status, an 8-fold variation was seen in the incidence of all psychotic disorders, from 6.0 (95% CI, 3.5-8.6) per 100 000 person-years in Santiago, Spain, to 46.1 (95% CI, 37.3-55.0) per 100 000 person-years in Paris, France. Rates were elevated in racial/ethnic minority groups (incidence rate ratio, 1.6; 95% CI, 1.5-1.7), were highest for men 18 to 24 years of age, and were lower in catchment areas with more owner-occupied homes (incidence rate ratio, 0.8; 95% CI, 0.7-0.8). Similar patterns were observed for nonaffective psychoses; a lower incidence of affective psychoses was associated with higher area-level unemployment (incidence rate ratio, 0.3; 95% CI, 0.2-0.5). This study confirmed marked heterogeneity in risk for psychotic disorders by person and place, including higher rates in younger men, racial/ethnic minorities, and areas characterized by a lower percentage of owner-occupied houses.

Treated Incidence of Psychotic Disorders in the Multinational EU-GEI Study

PubMed Central

Jongsma, Hannah E.; Gayer-Anderson, Charlotte; Lasalvia, Antonio; Quattrone, Diego; Mulè, Alice; Szöke, Andrei; Selten, Jean-Paul; Turner, Caitlin; Arango, Celso; Tarricone, Ilaria; Berardi, Domenico; Tortelli, Andrea; Llorca, Pierre-Michel; de Haan, Lieuwe; Bobes, Julio; Bernardo, Miguel; Sanjuán, Julio; Santos, José Luis; Arrojo, Manuel; Del-Ben, Cristina Marta; Menezes, Paulo Rossi; Murray, Robin M.; Rutten, Bart P.; Jones, Peter B.; van Os, Jim; Morgan, Craig

2017-01-01

Importance Psychotic disorders contribute significantly to the global disease burden, yet the latest international incidence study of psychotic disorders was conducted in the 1980s. Objectives To estimate the incidence of psychotic disorders using comparable methods across 17 catchment areas in 6 countries and to examine the variance between catchment areas by putative environmental risk factors. Design, Setting, and Participants An international multisite incidence study (the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions) was conducted from May 1, 2010, to April 1, 2015, among 2774 individuals from England (2 catchment areas), France (3 catchment areas), Italy (3 catchment areas), the Netherlands (2 catchment areas), Spain (6 catchment areas), and Brazil (1 catchment area) with a first episode of nonorganic psychotic disorders (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] codes F20-F33) confirmed by the Operational Criteria Checklist. Denominator populations were estimated using official national statistics. Exposures Age, sex, and racial/ethnic minority status were treated as a priori confounders. Latitude, population density, percentage unemployment, owner-occupied housing, and single-person households were treated as catchment area–level exposures. Main Outcomes and Measures Incidence of nonorganic psychotic disorders (ICD-10 codes F20-F33), nonaffective psychoses (ICD-10 codes F20-F29), and affective psychoses (ICD-10 codes F30-F33) confirmed by the Operational Criteria Checklist. Results A total of 2774 patients (1196 women and 1578 men; median age, 30.5 years [interquartile range, 23.0-41.0 years]) with incident cases of psychotic disorders were identified during 12.9 million person-years at risk (crude incidence, 21.4 per 100 000 person-years; 95% CI, 19.4-23.4 per 100 000 person-years). A total of 2183 patients (78.7%) had nonaffective psychotic disorders. After direct standardization for age, sex, and racial/ethnic minority status, an 8-fold variation was seen in the incidence of all psychotic disorders, from 6.0 (95% CI, 3.5-8.6) per 100 000 person-years in Santiago, Spain, to 46.1 (95% CI, 37.3-55.0) per 100 000 person-years in Paris, France. Rates were elevated in racial/ethnic minority groups (incidence rate ratio, 1.6; 95% CI, 1.5-1.7), were highest for men 18 to 24 years of age, and were lower in catchment areas with more owner-occupied homes (incidence rate ratio, 0.8; 95% CI, 0.7-0.8). Similar patterns were observed for nonaffective psychoses; a lower incidence of affective psychoses was associated with higher area-level unemployment (incidence rate ratio, 0.3; 95% CI, 0.2-0.5). Conclusions and Relevance This study confirmed marked heterogeneity in risk for psychotic disorders by person and place, including higher rates in younger men, racial/ethnic minorities, and areas characterized by a lower percentage of owner-occupied houses. PMID:29214289

Role of Automatic Wireless Remote Monitoring Immediately Following ICD Implant: The Lumos-T Reduces Routine Office Device Follow-Up Study (TRUST) Trial.

PubMed

Varma, Niraj; Epstein, Andrew E; Schweikert, Robert; Michalski, Justin; Love, Charles J

2016-03-01

The incidence of unscheduled encounters and problem occurrence between ICD implant and first in-person evaluation (IPE) recommended at 12 weeks is unknown. Automatic remote home monitoring (HM) may be useful in this potentially unstable period. ICD patients were randomized 2:1 to HM enabled post-implant (n = 908) or to conventional monitoring (CM; n = 431). Groups were compared between implant and prior to first scheduled IPE for IPE incidence, causes, and actionability (reprogramming, system revision, medication changes) and event detection time. HM and CM patients were similar (mean age 63 years, 72% male, LVEF 29%, primary prevention 73%, DDD 57%). In the post-implant interval assessed (HM 100 ± 21.3 days vs. CM 101 ± 20.8 days, P = 0.54), 85.4% (776/908) HM patients and 87.7% CM (378/431) patients had no cause for IPE (P = 0.31). When IPE occurred, actionability in HM (64/177 [36.2%]) was greater versus CM (15/62 [24.2%], P = 0.12). Actionable items were discovered sooner with HM (P = 0.025). Device reprogramming or lead revision was triggered following 53/177 (29.9%) IPEs in HM versus 9/62 (14.5%) in CM (P = 0.018). Arrhythmia detection was enhanced by HM: 276 atrial and ventricular episodes were detected in 135 follow-ups in contrast to CM (65 episodes at 17 IPEs). More silent arrhythmic episodes were discovered by HM (7.2% vs. 1.5% [P = 0.15]). Since 27/42 (64.3%) IPEs driven by HM alerts were actionable, event notification was a valuable method for problem detection. Importantly, HM did not increase incidence of non-actionable IPEs (P = 0.72). Activation of automatic remote monitoring should be encouraged soon post-ICD implant. © 2015 Wiley Periodicals, Inc.

The Sensitivity of Adverse Event Cost Estimates to Diagnostic Coding Error

PubMed Central

Wardle, Gavin; Wodchis, Walter P; Laporte, Audrey; Anderson, Geoffrey M; Baker, Ross G

2012-01-01

Objective To examine the impact of diagnostic coding error on estimates of hospital costs attributable to adverse events. Data Sources Original and reabstracted medical records of 9,670 complex medical and surgical admissions at 11 hospital corporations in Ontario from 2002 to 2004. Patient specific costs, not including physician payments, were retrieved from the Ontario Case Costing Initiative database. Study Design Adverse events were identified among the original and reabstracted records using ICD10-CA (Canadian adaptation of ICD10) codes flagged as postadmission complications. Propensity score matching and multivariate regression analysis were used to estimate the cost of the adverse events and to determine the sensitivity of cost estimates to diagnostic coding error. Principal Findings Estimates of the cost of the adverse events ranged from $16,008 (metabolic derangement) to $30,176 (upper gastrointestinal bleeding). Coding errors caused the total cost attributable to the adverse events to be underestimated by 16 percent. The impact of coding error on adverse event cost estimates was highly variable at the organizational level. Conclusions Estimates of adverse event costs are highly sensitive to coding error. Adverse event costs may be significantly underestimated if the likelihood of error is ignored. PMID:22091908

A population-based survival assessment of categorizing level III and IV rural hospitals as trauma centers.

PubMed

Arthur, Melanie; Newgard, Craig D; Mullins, Richard J; Diggs, Brian S; Stone, Judith V; Adams, Annette L; Hedges, Jerris R

2009-01-01

Patients injured in rural areas are hypothesized to have improved outcomes if statewide trauma systems categorize rural hospitals as Level III and IV trauma centers, though evidence to support this belief is sparse. To determine if there is improved survival among injured patients hospitalized in states that categorize rural hospitals as trauma centers. We analyzed a retrospective cohort of injured patients included in the Healthcare Cost and Utilization Project's Nationwide Inpatient Sample from 1997 to 1999. We used generalized estimating equations to compare survival among injured patients hospitalized in states that categorize rural hospitals as Level III and IV trauma centers versus those that do not. Multivariable models adjusted for important confounders, including patient demographics, co-morbid conditions, injury severity, and hospital-level factors. There were 257,044 admitted patients from 7 states with a primary injury diagnosis, of whom 64,190 (25%) had a "serious" index injury, 32,763 (13%) were seriously injured (by ICD-9 codes), and 12,435 (5%) were very seriously injured (by ICD-9 codes). There was no survival benefit associated with rural hospital categorization among all patients with a primary injury diagnosis or for those with specific index injuries. However, seriously injured patients (by ICD-9 codes) had improved survival when hospitalized in a categorizing state (OR for mortality 0.72, 95% confidence interval [CI] 0.53-0.97; OR for very seriously injured 0.68, 95% CI 0.52-0.90). There was no survival benefit to categorizing rural hospitals among a broad, heterogeneous group of hospitalized patients with a primary injury diagnosis; however the most seriously injured patients did have increased survival in such states.

Evidence Linking Hypoglycemic Events to an Increased Risk of Acute Cardiovascular Events in Patients With Type 2 Diabetes

PubMed Central

Johnston, Stephen S.; Conner, Christopher; Aagren, Mark; Smith, David M.; Bouchard, Jonathan; Brett, Jason

2011-01-01

OBJECTIVE This retrospective study examined the association between ICD-9-CM–coded outpatient hypoglycemic events (HEs) and acute cardiovascular events (ACVEs), i.e., acute myocardial infarction, coronary artery bypass grafting, revascularization, percutaneous coronary intervention, and incident unstable angina, in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Data were derived from healthcare claims for individuals with employer-sponsored primary or Medicare supplemental insurance. A baseline period (30 September 2006 to 30 September 2007) was used to identify eligible patients and collect information on their clinical and demographic characteristics. An evaluation period (1 October 2007 to 30 September 2008) was used to identify HEs and ACVEs. Patients aged ≥18 years with type 2 diabetes were selected for analysis by a modified Healthcare Effectiveness Data and Information Set algorithm. Data were analyzed with multiple logistic regression and backward stepwise selection (maximum P = 0.01) with adjustment for important confounding variables, including age, sex, geography, insurance type, comorbidity scores, cardiovascular risk factors, diabetes complications, total baseline medical expenditures, and prior ACVEs. RESULTS Of the 860,845 patients in the analysis set, 27,065 (3.1%) had ICD-9-CM–coded HEs during the evaluation period. The main model retained 17 significant independent variables. Patients with HEs had 79% higher regression-adjusted odds (HE odds ratio [OR] 1.79; 95% CI 1.69–1.89) of ACVEs than patients without HEs; results in patients aged ≥65 years were similar to those for the entire population (HE OR 1.78, 95% CI 1.65–1.92). CONCLUSIONS ICD-9-CM–coded HEs were independently associated with an increased risk of ACVEs. Further studies of the relationship between hypoglycemia and the risk of ACVEs are warranted. PMID:21421802

Extracorporeal therapies in pediatric severe sepsis: findings from the pediatric health-care information system.

PubMed

Ruth, Amanda; McCracken, Courtney E; Fortenberry, James D; Hebbar, Kiran B

2015-11-10

Pediatric severe sepsis (PSS) continues to be a major health problem. Extracorporeal therapies (ETs), defined as extracorporeal membrane oxygenation (ECMO) and RRenal replacement therapyenal replacement therapy (RRT), are becoming more available for utilization in a variety of health conditions. We aim to describe (1) rates of utilization of ET in PSS, (2) outcomes for PSS patients receiving ET, and (3) epidemiologic characteristics of patients receiving ET. We conducted a retrospective review of a prospectively collected database. Data from the Pediatric Health Information System (PHIS) database collected by the Children's Hospital Association (CHA) from 2004-2012 from 43 US children's hospitals' pediatric intensive care units (PICUs) were used. Patients with PSS were defined by (1) International Classification of Diseases, 9th Revision (ICD-9) codes reflecting severe sepsis and septic shock and (2) ICD-9 codes of infection and organ dysfunction as defined by updated Angus criteria. Among the patients with PSS, those with a PHIS flag of ECMO or RRT were identified further as our main cohort. From 2004 to 2012, 636,842 patients were identified from 43 hospitals, and PSS prevalence was 7.7 % (49,153 patients). Nine point eight percent (4795 patients) received at least one form of ET, and the associated mortality rate was 39 %. Mortality rates were 47.8 % for those who received ECMO, 32.3 % in RRT, and 58.0 % in RRT + ECMO. Underlying co-morbidities were found in 3745 patients (78.1 %) who received ET (81 % for ECMO, 77.9 % in RRT, and 71.2 % in those who received both). There was a statistically significant increase in ECMO utilization in patients with at least three organ dysfunctions from 2004 to 2012 (6.9 % versus 10.3 %, P < 0.001) while RRT use declined (24.5 % versus 13.2 %, P < 0.001). After 2009, there was a significant increase in ECMO utilization (3.6 % in 2004-2008 versus 4.0 % in 2009-2012, P = 0.004). ECMO and RRT were used simultaneously in only 500 patients with PSS (1 %). ETs were used in a significant portion of PSS patients with multiple organ dysfunction syndrome (MODS) during this time period. Mortality was significant and increased with increasing organ failure. ECMO use in PSS patients with MODS increased from 2004 to 2012. Further evaluation of ET use in PSS is warranted.

Insulin treated diabetes mellitus: causes of death determined from record linkage of population based registers in Leicestershire, UK.

PubMed Central

Raymond, N T; Langley, J D; Goyder, E; Botha, J L; Burden, A C; Hearnshaw, J R

1995-01-01

STUDY OBJECTIVE--Analyses of causes of mortality in people with diabetes using data form death certificates mentioning diabetes provide unreliable estimates of mortality. Under-recording of diabetes as a cause on death certificates has been widely reported, ranging from 15-60%. Using a population based register on people with diabetes and linking data from another source is a viable alternative. Data from the Office of Population Censuses and Surveys (OPCS) are the most acceptable mortality data available for such an exercise, as direct comparison with other published mortality rates is then possible. DESIGN--A locally maintained population-based mortality register and all insulin-treated diabetes mellitus cases notified to the Leicestershire diabetes register (n = 4680) were linked using record linkage software developed in-house (Lynx). This software has been extensively used in a maintenance and update cycle designed to maximise accuracy and minimise duplication and false registration on the diabetes register. Deaths identified were initially coded locally to the International Classification of Diseases, 9th revision (ICD9), and later a linkage was performed to use official OPCS coding. Mortality data identified by the linkage was indirectly standardised using population data for Leicestershire for 1991. Standardised mortality ratios (SMR) were estimated, with 95% confidence intervals. Insulin dependent diabetes (IDDM) was defined as diabetes diagnosed before age 30 years with insulin therapy begun within one year of diagnosis. All other types were considered non-insulin dependent diabetes (NIDDM). Analyses were performed for the whole sample and then for the NIDDM subgroup. Results from these analyses were similar and therefore only whole group analyses are presented. MAIN RESULTS--A total of 370 deaths were identified for the period of 1990-92 inclusive - 56% were in men and 44% in women, median age (range) 71 years (12-94). Approximately 90% of deaths were subjects with NIDDM. Diabetes was mentioned on 215 (58%) death certificates. The all causes SMRs were significantly raised for men and women for all ages less than 75 years. Ischaemic heart disease (ICD9) rubrics 410-414) accounted for 146 (40%) deaths - 41% of male and 38% of female deaths. Male and female SMRs were significantly raised for the age groups 45-64, 65-74, and 75-84 years. Cerebrovascular disease (ICD9 rubrics 430-438) accounted for 39 (10%) deaths and the SMR for women the external causes of death (ICD9 rubrics E800-E999) were also significantly raised overall and in age groups 15-44 and 45-64 years. This was not true for men, although numbers of deaths in this category were small for both men (4) and women (9). CONCLUSION--Record linkage has been used successfully to link two local, population based registers. This has enabled an analysis of mortality in people with diabetes to be performed which overcomes the problems associated with using as a sample, death certificates where diabetes is mentioned. The mortality rates and SMRs estimated should more accurately reflect the true rates than would be possible using other methods. The persisting excess mortality identified for people with diabetes is of a similar magnitude and attributable to similar causes as has been reported elsewhere in population based studies. PMID:8596090

Favorable Circulatory System Outcomes as Adjuvant Traditional Chinese Medicine (TCM) Treatment for Cerebrovascular Diseases in Taiwan

PubMed Central

Chiu, Hsienhsueh Elley; Hong, Yu-Chiang; Chang, Ku-Chou; Shih, Chun-Chuan; Hung, Jen-Wen; Liu, Chia-Wei; Tan, Teng-Yeow; Huang, Chih-Cheng

2014-01-01

Abstract Background This study searches the National Health Insurance Research Database (NHIRD) used in a previous project, aiming for reconstructing possible cerebrovascular disease-related groups (DRG),and estimating the costs between cerebrovascular disease and related diseases. Methods and Materials We conducted a nationwide retrospective cohort study in stroke inpatients, we examined the overall costs in 3 municipalities in Taiwan, by evaluating the possible costs of the expecting diagnosis related group (DRG) by using the international classification of diseases version-9 (ICD-9) system, and the overall analysis of the re-admission population that received traditional Chinese medicine (TCM) treatment and those who did not. Results The trend demonstrated that the non-participant costs were consistent with the ICD-9 categories (430 to 437) because similarities existed between years 2006 to 2007. Among the TCM patients, a wide variation and additional costs were found compared to non-TCM patients during these 2 years. The average re-admission duration was significantly shorter for TCM patients, especially those initially diagnosed with ICD 434 during the first admission. In addition, TCM patients demonstrated more severe general symptoms, which incurred high conventional treatment costs, and could result in re-admission for numerous reasons. However, in Disease 7 of ICD-9 category, representing the circulatory system was most prevalent in non-TCM inpatients, which was the leading cause of re-admission. Conclusion We concluded that favorable circulatory system outcomes were in adjuvant TCM treatment inpatients, there were less re-admission for circulatory system events and a two-third reduction of re-admission within ICD-9 code 430 to 437, compared to non-TCM ones. However, there were shorter re-admission duration other than circulatory system events by means of unfavorable baseline condition. PMID:24475108

Defining pediatric traumatic brain injury using International Classification of Diseases Version 10 Codes: a systematic review.

PubMed

Chan, Vincy; Thurairajah, Pravheen; Colantonio, Angela

2015-02-04

Although healthcare administrative data are commonly used for traumatic brain injury (TBI) research, there is currently no consensus or consistency on the International Classification of Diseases Version 10 (ICD-10) codes used to define TBI among children and youth internationally. This study systematically reviewed the literature to explore the range of ICD-10 codes that are used to define TBI in this population. The identification of the range of ICD-10 codes to define this population in administrative data is crucial, as it has implications for policy, resource allocation, planning of healthcare services, and prevention strategies. The databases MEDLINE, MEDLINE In-Process, Embase, PsychINFO, CINAHL, SPORTDiscus, and Cochrane Database of Systematic Reviews were systematically searched. Grey literature was searched using Grey Matters and Google. Reference lists of included articles were also searched for relevant studies. Two reviewers independently screened all titles and abstracts using pre-defined inclusion and exclusion criteria. A full text screen was conducted on articles that met the first screen inclusion criteria. All full text articles that met the pre-defined inclusion criteria were included for analysis in this systematic review. A total of 1,326 publications were identified through the predetermined search strategy and 32 articles/reports met all eligibility criteria for inclusion in this review. Five articles specifically examined children and youth aged 19 years or under with TBI. ICD-10 case definitions ranged from the broad injuries to the head codes (ICD-10 S00 to S09) to concussion only (S06.0). There was overwhelming consensus on the inclusion of ICD-10 code S06, intracranial injury, while codes S00 (superficial injury of the head), S03 (dislocation, sprain, and strain of joints and ligaments of head), and S05 (injury of eye and orbit) were only used by articles that examined head injury, none of which specifically examined children and youth. This review provides evidence for discussion on how best to use ICD codes for different goals. This is an important first step in reaching an appropriate definition and can inform future work on reaching consensus on the ICD-10 codes to define TBI for this vulnerable population.

A Tale of Two Disability Coding Systems: The Veterans Administration Schedule for Rating Disabilities (VASRD) vs. Diagnostic Coding Using the International Classification of Diseases, 9th Edition, Clinical Modification (ICD-9-CM)

DTIC Science & Technology

2008-01-01

BMI and higher body fat among Army recruits, or it could reflect changes in occupational exposures in the Army. For instance, some occupational...Intervertebral Disc w/o Myelopathy 613 2.45% 733.1 Pathological Fracture 530 2.11% * Percents are given out of the total number of musculoskeletal...Atherosclerosis 228 17.97% 733.1 Pathological Fracture 121 9.54% 443.0 Raynaud’s Syndrome 75 5.91% 729.5 Pain in Limb 74 5.83% 733.9 Other and Unspecified

Identifying Patients with Severe Sepsis Using Administrative Claims: Patient-Level Validation of the Angus Implementation of the International Consensus Conference Definition of Severe Sepsis

PubMed Central

Iwashyna, Theodore J.; Odden, Andrew; Rohde, Jeffrey; Bonham, Catherine; Kuhn, Latoya; Malani, Preeti; Chen, Lena; Flanders, Scott

2012-01-01

Background Severe sepsis is a common and costly problem. Although consistently defined clinically by consensus conference since 1991, there have been several different implementations of the severe sepsis definition using ICD-9-CM codes for research. We conducted a single center, patient-level validation of one common implementation of the severe sepsis definition, the so-called “Angus” implementation. Methods Administrative claims for all hospitalizations for patients initially admitted to general medical services from an academic medical center in 2009–2010 were reviewed. On the basis of ICD-9-CM codes, hospitalizations were sampled for review by three internal medicine-trained hospitalists. Chart reviews were conducted with a structured instrument, and the gold standard was the hospitalists’ summary clinical judgment on whether the patient had severe sepsis. Results 3,146 (13.5%) hospitalizations met ICD-9-CM criteria for severe sepsis by the Angus implementation (“Angus-positive”) and 20,142 (86.5%) were Angus-negative. Chart reviews were performed for 92 randomly-selected Angus-positive and 19 randomly-selected Angus-negative hospitalizations. Reviewers had a kappa of 0.70. The Angus implementation’s positive predictive value (PPV) was 70.7% (95%CI: 51.2%, 90.5%). The negative predictive value was 91.5% (95%CI: 79.0%, 100%). The sensitivity was 50.4% (95%CI: 14.8%, 85.7%). Specificity was 96.3% (95%CI: 92.4%, 100%). Two alternative ICD-9-CM implementations had high PPVs but sensitivities of less than 20%. Conclusions The Angus implementation of the international consensus conference definition of severe sepsis offers a reasonable but imperfect approach to identifying patients with severe sepsis when compared with a gold standard of structured review of the medical chart by trained hospitalists. PMID:23001437

Resident Participation in Fixation of Intertrochanteric Hip Fractures: Analysis of the NSQIP Database.

PubMed

Neuwirth, Alexander L; Stitzlein, Russell N; Neuwirth, Madalyn G; Kelz, Rachel K; Mehta, Samir

2018-01-17

Future generations of orthopaedic surgeons must continue to be trained in the surgical management of hip fractures. This study assesses the effect of resident participation on outcomes for the treatment of intertrochanteric hip fractures. The National Surgical Quality Improvement Program (NSQIP) database (2010 to 2013) was queried for intertrochanteric hip fractures (International Classification of Diseases, 9th Revision, Clinical Modification [ICD-9-CM] code 820.21) treated with either extramedullary (Current Procedural Terminology [CPT] code 27244) or intramedullary (CPT code 27245) fixation. Demographic variables, including resident participation, as well as primary (death and serious morbidity) and secondary outcome variables were extracted for analysis. Univariate, propensity score-matched, and multivariate logistic regression analyses were performed to evaluate outcome variables. Data on resident participation were available for 1,764 cases (21.0%). Univariate analyses for all intertrochanteric hip fractures demonstrated no significant difference in 30-day mortality (6.3% versus 7.8%; p = 0.264) or serious morbidity (44.9% versus 43.2%; p = 0.506) between the groups with and without resident participation. Multivariate and propensity score-matched analyses gave similar results. Resident involvement was associated with prolonged operating-room time, length of stay, and time to discharge when a prolonged case was defined as one above the 90th percentile for time parameters. Resident participation was not associated with an increase in morbidity or mortality but was associated with an increase in time-related secondary outcome measures. While attending surgeon supervision is necessary, residents can and should be involved in the care of these patients without concern that resident involvement negatively impacts perioperative morbidity and mortality. Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Medical Surveillance Monthly Report (MSMR). Volume 17, Number 08, August 2010

DTIC Science & Technology

2010-08-01

notifi able medical event reports that included diagnostic codes (ICD-9-CM) indicative of chlamydia, gonorrhea, syphilis, herpes simplex virus (HSV...infections of interest for this report Results: Condition Diagnostic codes Chlamydia 099.41, 099.5 Gonorrhea 098 Herpes simplex (HSV) 054 Human...housing arrangements may also play roles and off er opportunities for targeted prevention.6 Human papillomavirus (HPV), the cause of genital warts

The 1-month prevalence of generalized anxiety disorder according to DSM-IV, DSM-V, and ICD-10 among nondemented 75-year-olds in Gothenburg, Sweden.

PubMed

Nilsson, Johan; Östling, Svante; Waern, Margda; Karlsson, Björn; Sigström, Robert; Guo, Xinxin; Skoog, Ingmar

2012-11-01

To examine the 1-month prevalence of generalized anxiety disorder (GAD) according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), Diagnostic and Statistical Manual of Mental, Fifth Edition (DSM-V), and International Classification of Diseases, Tenth Revision (ICD-10), and the overlap between these criteria, in a population sample of 75-year-olds. We also aimed to examine comorbidity between GAD and other psychiatric diagnoses, such as depression. During 2005-2006, a comprehensive semistructured psychiatric interview was conducted by trained nurses in a representative population sample of 75-year-olds without dementia in Gothenburg, Sweden (N = 777; 299 men and 478 women). All psychiatric diagnoses were made according to DSM-IV. GAD was also diagnosed according to ICD-10 and DSM-V. The 1-month prevalence of GAD was 4.1% (N = 32) according to DSM-IV, 4.5% (N = 35) according to DSM-V, and 3.7% (N = 29) according to ICD-10. Only 46.9% of those with DSM-IV GAD fulfilled ICD-10 criteria, and only 51.7% and 44.8% of those with ICD-10 GAD fulfilled DSM-IV/V criteria. Instead, 84.4% and 74.3% of those with DSM-IV/V GAD and 89.7% of those with ICD-10 GAD had depression. Also other psychiatric diagnoses were common in those with ICD-10 and DSM-IV GAD. Only a small minority with GAD, irrespective of criteria, had no other comorbid psychiatric disorder. ICD-10 GAD was related to an increased mortality rate. While GAD was common in 75-year-olds, DSM-IV/V and ICD-10 captured different individuals. Current definitions of GAD may comprise two different expressions of the disease. There was greater congruence between GAD in either classification system and depression than between DSM-IV/V GAD and ICD-10 GAD, emphasizing the close link between these entities. 2012 American Association for Geriatric Psychiatry

Medicare Program; Inpatient Rehabilitation Facility Prospective Payment System for Federal Fiscal Year 2018. Final rule.

PubMed

2017-08-03

This final rule updates the prospective payment rates for inpatient rehabilitation facilities (IRFs) for federal fiscal year (FY) 2018 as required by the statute. As required by section 1886(j)(5) of the Social Security Act (the Act), this rule includes the classification and weighting factors for the IRF prospective payment system's (IRF PPS) case-mix groups and a description of the methodologies and data used in computing the prospective payment rates for FY 2018. This final rule also revises the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) diagnosis codes that are used to determine presumptive compliance under the "60 percent rule," removes the 25 percent payment penalty for inpatient rehabilitation facility patient assessment instrument (IRF-PAI) late transmissions, removes the voluntary swallowing status item (Item 27) from the IRF-PAI, summarizes comments regarding the criteria used to classify facilities for payment under the IRF PPS, provides for a subregulatory process for certain annual updates to the presumptive methodology diagnosis code lists, adopts the use of height/weight items on the IRF-PAI to determine patient body mass index (BMI) greater than 50 for cases of single-joint replacement under the presumptive methodology, and revises and updates measures and reporting requirements under the IRF quality reporting program (QRP).

Gender Incongruence of Childhood: Clinical Utility and Stakeholder Agreement with the World Health Organization’s Proposed ICD-11 Criteria

PubMed Central

Beek, Titia F.; Cohen-Kettenis, Peggy T.; Bouman, Walter P.; de Vries, Annelou L. C.; Steensma, Thomas D.; Witcomb, Gemma L.; Arcelus, Jon; Richards, Christina; De Cuypere, Griet; Kreukels, Baudewijntje P. C.

2017-01-01

The World Health Organization (WHO) is revising the tenth version of the International Classification of Diseases and Related Health Problems (ICD-10). This includes a reconceptualization of the definition and positioning of Gender Incongruence of Childhood (GIC). This study aimed to: 1) collect the views of transgender individuals and professionals regarding the retention of the diagnosis; 2) see if the proposed GIC criteria were acceptable to transgender individuals and health care providers; 3) compare results between two countries with two different healthcare systems to see if these differences influence opinions regarding the GIC diagnosis; and 4) determine whether healthcare providers from high-income countries feel that the proposed criteria are clinically useful and easy to use. A total of 628 participants were included in the study: 284 from the Netherlands (NL; 45.2%), 8 from Flanders (Belgium; 1.3%), and 336 (53.5%) from the United Kingdom (UK). Most participants were transgender people (or their partners/relatives; TG) (n = 522), 89 participants were healthcare providers (HCPs) and 17 were both HCP and TG individuals. Participants completed an online survey developed for this study. Overall, the majority response from transgender participants (42.9%) was that if the diagnosis would be removed from the mental health chapter it should also be removed from the ICD-11 completely, while 33.6% thought it should remain in the ICD-11. Participants were generally satisfied with other aspects of the proposed ICD-11 GIC diagnosis: most TG participants (58.4%) thought the term Gender Identity Disorder should change, and most thought Gender Incongruence was an improvement (63.0%). Furthermore, most participants (76.1%) did not consider GIC to be a psychiatric disorder and placement in a separate chapter dealing with Gender and Sexual Health (the majority response in the NL and selected by 37.5% of the TG participants overall) or as a Z-code (the majority response in the UK and selected by 26.7% of the TG participants overall) would be preferable. In the UK, the majority response (35.8%) was that narrowing the GIC diagnosis was an improvement, while the NL majority response (49.5%) was that this was not an improvement. Although generally the results from HCPs were in line with the results from TG participants some differences were found. This study suggests that, although in an ideal world a diagnosis is not welcomed, several participants felt the diagnosis should not be removed. This is likely due to concerns about restricting access to reimbursed healthcare. The choice for positioning of a diagnosis of GIC within the ICD-11 was as a separate chapter dealing with symptoms and/or disorders regarding sexual and gender health. This was the overall first choice for NL participants and second choice for UK participants, after the use of a Z-code. The difference reflects that in the UK, Z-codes carry no negative implications for reimbursement of treatment costs. These findings highlight the challenges faced by the WHO in their attempt to integrate research findings from different countries, with different cultures and healthcare systems in their quest to create a manual that is globally applicable. PMID:28081569

Gender Incongruence of Childhood: Clinical Utility and Stakeholder Agreement with the World Health Organization's Proposed ICD-11 Criteria.

PubMed

Beek, Titia F; Cohen-Kettenis, Peggy T; Bouman, Walter P; de Vries, Annelou L C; Steensma, Thomas D; Witcomb, Gemma L; Arcelus, Jon; Richards, Christina; De Cuypere, Griet; Kreukels, Baudewijntje P C

2017-01-01

The World Health Organization (WHO) is revising the tenth version of the International Classification of Diseases and Related Health Problems (ICD-10). This includes a reconceptualization of the definition and positioning of Gender Incongruence of Childhood (GIC). This study aimed to: 1) collect the views of transgender individuals and professionals regarding the retention of the diagnosis; 2) see if the proposed GIC criteria were acceptable to transgender individuals and health care providers; 3) compare results between two countries with two different healthcare systems to see if these differences influence opinions regarding the GIC diagnosis; and 4) determine whether healthcare providers from high-income countries feel that the proposed criteria are clinically useful and easy to use. A total of 628 participants were included in the study: 284 from the Netherlands (NL; 45.2%), 8 from Flanders (Belgium; 1.3%), and 336 (53.5%) from the United Kingdom (UK). Most participants were transgender people (or their partners/relatives; TG) (n = 522), 89 participants were healthcare providers (HCPs) and 17 were both HCP and TG individuals. Participants completed an online survey developed for this study. Overall, the majority response from transgender participants (42.9%) was that if the diagnosis would be removed from the mental health chapter it should also be removed from the ICD-11 completely, while 33.6% thought it should remain in the ICD-11. Participants were generally satisfied with other aspects of the proposed ICD-11 GIC diagnosis: most TG participants (58.4%) thought the term Gender Identity Disorder should change, and most thought Gender Incongruence was an improvement (63.0%). Furthermore, most participants (76.1%) did not consider GIC to be a psychiatric disorder and placement in a separate chapter dealing with Gender and Sexual Health (the majority response in the NL and selected by 37.5% of the TG participants overall) or as a Z-code (the majority response in the UK and selected by 26.7% of the TG participants overall) would be preferable. In the UK, the majority response (35.8%) was that narrowing the GIC diagnosis was an improvement, while the NL majority response (49.5%) was that this was not an improvement. Although generally the results from HCPs were in line with the results from TG participants some differences were found. This study suggests that, although in an ideal world a diagnosis is not welcomed, several participants felt the diagnosis should not be removed. This is likely due to concerns about restricting access to reimbursed healthcare. The choice for positioning of a diagnosis of GIC within the ICD-11 was as a separate chapter dealing with symptoms and/or disorders regarding sexual and gender health. This was the overall first choice for NL participants and second choice for UK participants, after the use of a Z-code. The difference reflects that in the UK, Z-codes carry no negative implications for reimbursement of treatment costs. These findings highlight the challenges faced by the WHO in their attempt to integrate research findings from different countries, with different cultures and healthcare systems in their quest to create a manual that is globally applicable.

42 CFR 81.30 - Non-radiogenic cancers.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 1 2010-10-01 2010-10-01 false Non-radiogenic cancers. 81.30 Section 81.30 Public... Causation § 81.30 Non-radiogenic cancers. The following cancers are considered non-radiogenic for the... cancers: (a) Chronic lymphocytic leukemia (ICD-9 code: 204.1) (b) [Reserved] ...

42 CFR 81.30 - Non-radiogenic cancers.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 1 2011-10-01 2011-10-01 false Non-radiogenic cancers. 81.30 Section 81.30 Public... Causation § 81.30 Non-radiogenic cancers. The following cancers are considered non-radiogenic for the... cancers: (a) Chronic lymphocytic leukemia (ICD-9 code: 204.1) (b) [Reserved] ...

Fall-related mortality in southern Sweden: a multiple cause of death analysis, 1998-2014.

PubMed

Kiadaliri, Aliasghar A; Rosengren, Björn E; Englund, Martin

2017-10-22

To investigate temporal trend in fall mortality among adults (aged ≥20 years) in southern Sweden using multiple cause of death data. We examined all death certificates (DCs, n=2 01 488) in adults recorded in the Skåne region during 1998-2014. We identified all fall deaths using International Statistical Classification of Diseases (ICD)-10 codes (W00-W19) and calculated the mortality rates by age and sex. Temporal trends were evaluated using joinpoint regression and associated causes were identified by age-adjusted and sex-adjusted observed/expected ratios. Falls were mentioned on 1.0% and selected as underlying cause in 0.7% of all DCs, with the highest frequency among those aged ≥70 years. The majority (75.6%) of fall deaths were coded as unspecified fall (ICD-10 code: W19) followed by falling on or from stairs/steps (7.7%, ICD-10 code: W10) and other falls on the same level (6.3%, ICD-10 code: W18). The mean age at fall deaths increased from 77.5 years in 1998-2002 to 82.9 years in 2010-2014 while for other deaths it increased from 78.5 to 79.8 years over the same period. The overall mean age-standardised rate of fall mortality was 8.3 and 4.0 per 1 00 000 person-years in men and women, respectively, and increased by 1.7% per year in men and 0.8% per year in women during 1998-2014. Head injury and diseases of the circulatory system were recorded as contributing cause on 48.7% of fall deaths. There is an increasing trend of deaths due to falls in southern Sweden. Further investigations are required to explain this observation particularly among elderly men. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Defining Arthritis for Public Health Surveillance: Methods and Estimates in Four US Population Health Surveys.

PubMed

Murphy, Louise B; Cisternas, Miriam G; Greenlund, Kurt J; Giles, Wayne; Hannan, Casey; Helmick, Charles G

2017-03-01

To determine the variability of arthritis prevalence in 4 US population health surveys. We estimated annualized arthritis prevalence in 2011-2012, among adults age ≥20 years, using 2 definition methods, both based on self-report: 1) doctor-/health care provider-diagnosed arthritis in the Behavioral Risk Factor Surveillance Survey (BRFSS), National Health and Nutrition Examination Survey (NHANES), National Health Interview Survey (NHIS), and Medical Expenditure Panel Survey (MEPS); and 2) three arthritis definitions based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) criteria in MEPS (National Arthritis Data Workgroup on Arthritis and Other Rheumatic Conditions [NADW-AORC], Clinical Classifications Software [CCS], and Centers for Disease Control and Prevention [CDC]). Diagnosed arthritis prevalence percentages using the surveys were within 3 points of one another (BRFSS 26.2% [99% confidence interval (99% CI) 26.0-26.4], MEPS 26.1% [99% CI 25.0-27.2], NHIS 23.5% [99% CI 22.9-24.1], NHANES 23.0% [99% CI 19.2-26.8]), and those using ICD-9-CM were within 5 percentage points of one another (CCS 25.8% [99% CI 24.6-27.1]; CDC 28.3% [99% CI 27.0-29.6]; and NADW-AORC 30.7% [99% CI 29.4-32.1]). The variation in the estimated number (in millions) affected with diagnosed arthritis was 7.8 (BRFSS 58.5 [99% CI 58.1-59.1], MEPS 59.3 [99% CI 55.6-63.1], NHANES 51.5 [99% CI 37.2-65.5], and NHIS 52.6 [99% CI 50.9-54.4]), and using ICD-9-CM definitions it was 11.1 (CCS 58.7 [99% CI 54.5-62.9], CDC 64.3 [99% CI 59.9-68.6], and NADW 69.9 [99% CI 65.2-74.5]). Most (57-70%) reporting diagnosed arthritis also reported ICD-9-CM arthritis; respondents reporting diagnosed arthritis were older than those meeting ICD-9-CM definitions. Proxy response status affected arthritis prevalence differently across surveys. Public health practitioners and decision makers are frequently charged with choosing a single number to represent arthritis prevalence in the US population. We encourage them to consider the surveys' purpose, design, measurement methods, and statistical precision when choosing an estimate. © 2016, American College of Rheumatology.

A complementary graphical method for reducing and analyzing large data sets. Case studies demonstrating thresholds setting and selection.

PubMed

Jing, X; Cimino, J J

2014-01-01

Graphical displays can make data more understandable; however, large graphs can challenge human comprehension. We have previously described a filtering method to provide high-level summary views of large data sets. In this paper we demonstrate our method for setting and selecting thresholds to limit graph size while retaining important information by applying it to large single and paired data sets, taken from patient and bibliographic databases. Four case studies are used to illustrate our method. The data are either patient discharge diagnoses (coded using the International Classification of Diseases, Clinical Modifications [ICD9-CM]) or Medline citations (coded using the Medical Subject Headings [MeSH]). We use combinations of different thresholds to obtain filtered graphs for detailed analysis. The thresholds setting and selection, such as thresholds for node counts, class counts, ratio values, p values (for diff data sets), and percentiles of selected class count thresholds, are demonstrated with details in case studies. The main steps include: data preparation, data manipulation, computation, and threshold selection and visualization. We also describe the data models for different types of thresholds and the considerations for thresholds selection. The filtered graphs are 1%-3% of the size of the original graphs. For our case studies, the graphs provide 1) the most heavily used ICD9-CM codes, 2) the codes with most patients in a research hospital in 2011, 3) a profile of publications on "heavily represented topics" in MEDLINE in 2011, and 4) validated knowledge about adverse effects of the medication of rosiglitazone and new interesting areas in the ICD9-CM hierarchy associated with patients taking the medication of pioglitazone. Our filtering method reduces large graphs to a manageable size by removing relatively unimportant nodes. The graphical method provides summary views based on computation of usage frequency and semantic context of hierarchical terminology. The method is applicable to large data sets (such as a hundred thousand records or more) and can be used to generate new hypotheses from data sets coded with hierarchical terminologies.

Validation of administrative data used for the diagnosis of upper gastrointestinal events following nonsteroidal anti-inflammatory drug prescription.

PubMed

Abraham, N S; Cohen, D C; Rivers, B; Richardson, P

2006-07-15

To validate veterans affairs (VA) administrative data for the diagnosis of nonsteroidal anti-inflammatory drug (NSAID)-related upper gastrointestinal events (UGIE) and to develop a diagnostic algorithm. A retrospective study of veterans prescribed an NSAID as identified from the national pharmacy database merged with in-patient and out-patient data, followed by primary chart abstraction. Contingency tables were constructed to allow comparison with a random sample of patients prescribed an NSAID, but without UGIE. Multivariable logistic regression analysis was used to derive a predictive algorithm. Once derived, the algorithm was validated in a separate cohort of veterans. Of 906 patients, 606 had a diagnostic code for UGIE; 300 were a random subsample of 11 744 patients (control). Only 161 had a confirmed UGIE. The positive predictive value (PPV) of diagnostic codes was poor, but improved from 27% to 51% with the addition of endoscopic procedural codes. The strongest predictors of UGIE were an in-patient ICD-9 code for gastric ulcer, duodenal ulcer and haemorrhage combined with upper endoscopy. This algorithm had a PPV of 73% when limited to patients >or=65 years (c-statistic 0.79). Validation of the algorithm revealed a PPV of 80% among patients with an overlapping NSAID prescription. NSAID-related UGIE can be assessed using VA administrative data. The optimal algorithm includes an in-patient ICD-9 code for gastric or duodenal ulcer and gastrointestinal bleeding combined with a procedural code for upper endoscopy.

Comparing ICD9-encoded diagnoses and NLP-processed discharge summaries for clinical trials pre-screening: a case study.

PubMed

Li, Li; Chase, Herbert S; Patel, Chintan O; Friedman, Carol; Weng, Chunhua

2008-11-06

The prevalence of electronic medical record (EMR) systems has made mass-screening for clinical trials viable through secondary uses of clinical data, which often exist in both structured and free text formats. The tradeoffs of using information in either data format for clinical trials screening are understudied. This paper compares the results of clinical trial eligibility queries over ICD9-encoded diagnoses and NLP-processed textual discharge summaries. The strengths and weaknesses of both data sources are summarized along the following dimensions: information completeness, expressiveness, code granularity, and accuracy of temporal information. We conclude that NLP-processed patient reports supplement important information for eligibility screening and should be used in combination with structured data.

[Hospital care for stroke patients in the Valencian Region using the basic minimum data set from the International Classification of Diseases, 9th revision, clinical modification].

PubMed

Geffner-Sclarsky, D

To determine the load and characteristics of cerebrovascular diseases (CVD) admitted in the hospital network throughout the Valencian Region. The paper reports on an analysis of the information included in the basic minimum data set (BMDS) from the 26 hospitals run by the Valencian Regional Ministry of Health in the year 2001. Patients that were selected were those whose main diagnosis was codes C.430 to C.437, according to the International Classification of Diseases, 9th revision, clinical modification (ICD-9-CM). A total of 10,558 patients with CVD were discharged, which accounts for 2.6% of admissions and 3% of hospital stays. The mean age of the series was 71.03 years -standard deviation (SD): 9- and 94.8% were admitted as emergencies. By diagnoses, 3% (319) were subarachnoid haemorrhages (SAH; C.430); 13.4% (1,412) were cerebral haemorrhages (ICH; C.431); 18.5% (1,956) were transient ischemic attacks (TIA; C.435); 49.5% (5,225) were cases of cerebral infarction (CI; C.434 and C.436); and 15.6% involved other vascular processes (C.433 and C.437). Mortality rates were 30.1% in SAH; 33.9% in ICH; 11.7% in CI; and 2.7% in TIA. Mean number of days in hospital: SAH 17.4 (SD: 15); ICH 13.1 (SD: 11.8); CI 9.9 (SD: 6.4) and in cases of TIA 7.2 (SD: 4). The percentages of survivors who were discharged home were 78.9 % in SAH, 83.2% in ICH and 91.9% in the case of CI. In all, 51.3% (5,413 patients) were discharged by neurological units. In spite of possible insufficiencies analysed in this work, the use of the BMDS provides valuable epidemiological information that is very useful for health care management.

Laparoscopic Adjustable Gastric Band Explantation and Implantation at Academic Centers.

PubMed

Koh, Christina Y; Inaba, Colette S; Sujatha-Bhaskar, Sarath; Hohmann, Samuel; Ponce, Jaime; Nguyen, Ninh T

2017-10-01

The laparoscopic adjustable gastric band (LAGB) was approved for use in the US in 2001 and has been found to be a safe and effective surgical treatment for morbid obesity. However, there is a recent trend toward reduced use of LAGB nationwide. The objective of this study was to examine the prevalence and outcomes of primary LAGB implantation compared with revision and explantation at academic centers. Data were obtained from the Vizient database from 2007 through 2015. The ICD-9-Clinical Modification and ICD-10-Clinical Modification were used to select patients with a primary diagnosis of obesity who had undergone LAGB implantation, revision, or explantation. Prevalence and outcomes of primary LAGB implantation compared with revision or explantation were analyzed. Outcomes measures included length of stay, ICU admission, morbidity, mortality, and cost. From 2007 through 2015, a total of 28,202 patients underwent LAGB implantation for surgical weight loss. The annual number of LAGB implantation procedures decreased steadily after 2010. In the same time period, 12,157 patients underwent LAGB explantation. In 2013, the number of LAGB explantation procedures exceeded that of implantation. Laparoscopic adjustable gastric band revision rates remained stable throughout the study period. Mean length of stay, serious morbidity, and proportion of patients requiring ICU admission were higher for gastric band revision and explantation cases compared with primary LAGB implantation cases. There was no statistically significant difference in mortality or mean cost between the 2 groups. Since 2013, the number of gastric band explantation procedures has exceeded that of implantation procedures at academic centers. Laparoscopic adjustable gastric band revision or explantation is associated with longer length of stay, higher rate of postoperative ICU admissions, and higher overall morbidity compared with LAGB implantation. Copyright © 2017 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Surgical treatment of chronic exertional compartment syndrome of the leg: failure rates and postoperative disability in an active patient population.

PubMed

Waterman, Brian R; Laughlin, Matthew; Kilcoyne, Kelly; Cameron, Kenneth L; Owens, Brett D

2013-04-03

Chronic exertional compartment syndrome of the leg is a frequent source of lower-extremity pain in military personnel, competitive athletes, and runners. We are not aware of any previous study in which the authors rigorously evaluated the rates of return to full activity, persistent disability, and surgical revision after operative management of chronic exertional compartment syndrome of the leg in a large, physically active population. Individuals who had undergone surgical fasciotomy of the anterior, lateral, and/or posterior compartments (current procedural terminology [CPT] codes 27600, 27601, and 27602) for nontraumatic compartment syndrome of the lower extremity (International Classification of Diseases, Ninth Revision [ICD-9] code 729.72) between 2003 and 2010 were identified from the Military Health System Management Analysis and Reporting Tool (M2). Demographic variables including age, sex, and rank were extracted, and rates of postoperative complications, activity limitations, and revision surgery or medical discharge were obtained from the electronic medical record and U.S. Army Physical Disability Agency database. A total of 611 patients underwent 754 surgical procedures. The average patient age was 28.0 years, and 91.8% of the patients were male. Of the surgical procedures, 77.4% involved only anterior and lateral compartment releases; 19.4% addressed the anterior, lateral, and posterior compartments; and 2.2% addressed the posterior compartments alone. Symptom recurrence was reported by 44.7% of the patients, and 27.7% were unable to return to full activity. Surgical complications were documented for 15.7% of the patients, 5.9% underwent surgical revision, and 17.3% were referred for medical discharge because of chronic exertional compartment syndrome. Univariate analysis of prognostic factors revealed that surgical failure was associated with bilateral involvement (odds ratio [OR], 1.64), perioperative complications (OR, 2.12), activity limitations (OR, 4.41), and persistence of preoperative symptoms (OR, 8.46). Multivariable analysis confirmed significant associations between surgical failure and perioperative complications (OR, 1.72), activity limitations (OR, 2.23), and persistence of preoperative symptoms (OR, 5.47), whereas other factors were not significantly associated with surgical failure. Chronic exertional compartment syndrome is a substantial contributor to lower-extremity disability in the military population. Nearly half of all service members undergoing fasciotomy reported persistent symptoms, and one in five individuals had unsuccessful surgical treatment.

The role of Brazilian National Health Information Systems in assessing the impact of Zika virus outbreak.

PubMed

Pavão, Ana Luiza Braz; Barcellos, Christovam; Pedroso, Marcel; Boccolini, Cristiano; Romero, Dália

2017-01-01

The Zika virus (ZIKV) epidemic has become a public health emergency following its association with severe neurological complications. We aim to discuss how the Brazilian National Health Information Systems can help to assess the impact of the ZIKV epidemic on health outcomes potentially related to ZIKV. Health outcomes potentially related to ZIKV infection were described based on a literature review of published studies on ZIKV infection outcomes and on recent protocols developed and published by the Brazilian Ministry of Health for different stages of the life cycle. These outcomes were correlated with the International Classification of Diseases 10th Revision (ICD-10) classification system, as this is the diagnostic classification registered in the Health Information System. A suggested list of 50 clinical manifestations, dispersed into 4 ICD chapters, and their information sources was created to help monitor the ZIKV epidemics and trends. Correlation of these selected ICD-10 codes and the HIS, as well as, a review of the potentialities and limitations of health information systems were performed. The potential of the Health Information System and its underutilization by stakeholders and researchers have been a barrier in diagnosing and reporting ZIKV infection and its complications. The ZIKV outbreak is still a challenge for health practice and the Brazilian Health Information System.

Prevalence, incidence, and demographics of systemic lupus erythematosus and lupus nephritis from 2000 to 2004 among children in the US Medicaid beneficiary population.

PubMed

Hiraki, Linda T; Feldman, Candace H; Liu, Jun; Alarcón, Graciela S; Fischer, Michael A; Winkelmayer, Wolfgang C; Costenbader, Karen H

2012-08-01

To investigate the nationwide prevalence, incidence, and sociodemographics of systemic lupus erythematosus (SLE) and lupus nephritis among children in the US Medicaid beneficiary population. Children ages 3 years to <18 years with a diagnosis of SLE (defined as ≥3 claims with an International Classification of Diseases, Ninth Revision [ICD-9] code of 710.0 for SLE, each >30 days apart) were identified from the US Medicaid Analytic eXtract database from 2000 to 2004. This database contains all inpatient and outpatient Medicaid claims for 47 US states and the District of Columbia. Lupus nephritis was identified from ≥2 ICD-9 billing codes for glomerulonephritis, proteinuria, or renal failure, each recorded >30 days apart. The prevalence and incidence of SLE and lupus nephritis were calculated among Medicaid-enrolled children overall and within sociodemographic groups. Of the 30,420,597 Medicaid-enrolled children during these years, 2,959 were identified as having SLE. The prevalence of SLE was 9.73 (95% confidence interval [95% CI] 9.38-10.08) per 100,000 Medicaid-enrolled children. Among the children with SLE, 84% were female, 40% were African American, 25% were Hispanic, 21% were White, and 42% resided in the South region of the US. Moreover, of the children with SLE, 1,106 (37%) had lupus nephritis, representing a prevalence of 3.64 (95% CI 3.43-3.86) per 100,000 children. The average annual incidence of SLE was 2.22 cases (95% CI 2.05-2.40) and that of lupus nephritis was 0.72 cases (95% CI 0.63-0.83) per 100,000 Medicaid enrollees per year. The prevalence and incidence rates of SLE and lupus nephritis increased with age, were higher in girls than in boys, and were higher in all non-White racial/ethnic groups. In the current study, the prevalence and incidence rates of SLE among Medicaid-enrolled children in the US are high compared to studies in other populations. In addition, these data represent the first population-based estimates of the prevalence and incidence of lupus nephritis in the US to date. Copyright © 2012 by the American College of Rheumatology.

Association of Health Care Utilization With Rates of Perforated Appendicitis in Children 18 Years or Younger.

PubMed

Baxter, Katherine J; Nguyen, Hannah T M H; Wulkan, Mark L; Raval, Mehul V

2018-06-01

The pediatric perforated appendix rate is a quality metric measured by the Agency for Healthcare Research and Quality (AHRQ) that reflects access to care. The association of health care utilization prior to presentation with appendicitis is unknown. To determine whether increased health care utilization prior to presentation with appendicitis is associated with lower perforated appendicitis rates in children. Retrospective cohort study of privately insured children drawn from large employer and insurance company administrative data found in the Truven MarketScan national insurance claims database. Cases of appendicitis were identified among 38 348 children 18 years or younger from January 1, 2010, through December 31, 2013, with corresponding primary health care encounters from January 1, 2009, through December 31, 2012. In all, 19 109 eligible children were identified using International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes for appendicitis after excluding those patients who did not have continuous insurance coverage during the study period. Statistical analysis was performed from September 1, 2016, to October 15, 2017. Health care utilization was determined by the number of outpatient clinic encounters for each patient in the 1 to 12 months before presentation with appendicitis. Perforated appendicitis was defined according to the AHRQ by using ICD-9 codes for perforation and hospital length of stay of 3 or more days. Logistic regression models were used for perforated appendicitis after adjustment for age, sex, income, gastrointestinal comorbidities, geographic region, and insurance type. We identified 38 348 children 18 years or younger with ICD-9 diagnosis codes for appendicitis, and 19 109 children remained for analysis after applying exclusion criteria. Of these, 11 422 were boys (59.8%); the mean (SD) age was 12.4 (3.9) years. Of the 19 109 children identified who underwent appendectomy, 5509 (28.8%) presented with perforated appendicitis. Children with perforation had lower outpatient health care utilization in the year before presentation compared with those diagnosed with acute appendicitis (4554 of 5509 children [82.7%] vs 11 937 of 13 600 [87.8%]; P < .001). In the adjusted model, outpatient health care utilization before presentation was associated with lower odds of perforated appendicitis (odds ratio [OR], 0.63; 95% CI, 0.58-0.69; P < .001). This association increased with visit frequency in the year before presentation (OR, 0.86; 95% CI, 0.77-0.95 for 1-2 visits, P = .003; OR, 0.61; 95% CI, 0.55-0.67 for 3-6 visits, P < .001; and OR, 0.43; 95% CI, 0.38-0.48 for ≥7 visits [5-18 years], P < .001). Covariates associated with perforation included younger age, geographic region, family income, and higher out-of-pocket insurance plans. Among insured children 18 years or younger, increased health care utilization was associated with lower rates of perforated appendicitis. Primary health care relationships may facilitate timely presentation or serve as a marker for health-related self-efficacy, thereby contributing to outcomes for acute surgical conditions.

A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.

PubMed

Chung, Cecilia P; Rohan, Patricia; Krishnaswami, Shanthi; McPheeters, Melissa L

2013-12-30

To review the evidence supporting the validity of billing, procedural, or diagnosis code, or pharmacy claim-based algorithms used to identify patients with rheumatoid arthritis (RA) in administrative and claim databases. We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to RA and reference lists of included studies were searched. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria and extracted the data. Data collected included participant and algorithm characteristics. Nine studies reported validation of computer algorithms based on International Classification of Diseases (ICD) codes with or without free-text, medication use, laboratory data and the need for a diagnosis by a rheumatologist. These studies yielded positive predictive values (PPV) ranging from 34 to 97% to identify patients with RA. Higher PPVs were obtained with the use of at least two ICD and/or procedure codes (ICD-9 code 714 and others), the requirement of a prescription of a medication used to treat RA, or requirement of participation of a rheumatologist in patient care. For example, the PPV increased from 66 to 97% when the use of disease-modifying antirheumatic drugs and the presence of a positive rheumatoid factor were required. There have been substantial efforts to propose and validate algorithms to identify patients with RA in automated databases. Algorithms that include more than one code and incorporate medications or laboratory data and/or required a diagnosis by a rheumatologist may increase the PPV. Copyright © 2013 Elsevier Ltd. All rights reserved.

The Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study

PubMed Central

Psaty, Bruce M; Delaney, Joseph A; Arnold, Alice M; Curtis, Lesley H; Fitzpatrick, Annette L; Heckbert, Susan R; McKnight, Barbara; Ives, Diane; Gottdiener, John S; Kuller, Lewis H; Longstreth, W T

2015-01-01

Background Increasingly, the diagnostic codes from administrative claims data are being used as clinical outcomes. Methods and Results Data from the Cardiovascular Health Study (CHS) were used to compare event rates and risk-factor associations between adjudicated hospitalized cardiovascular events and claims-based methods of defining events. The outcomes of myocardial infarction (MI), stroke, and heart failure (HF) were defined in three ways: 1) the CHS adjudicated event (CHS[adj]); 2) selected ICD9 diagnostic codes only in the primary position for Medicare claims data from the Center for Medicare and Medicaid Services (CMS[1st]); and 3) the same selected diagnostic codes in any position (CMS[any]). Conventional claims-based methods of defining events had high positive predictive values (PPVs) but low sensitivities. For instance, the PPV of an ICD9 code of 410.×1 for a new acute MI in the first position was 90.6%, but this code identified only 53.8% of incident MIs. The observed event rates were low. For MI, the incidence was 14.9 events per 1000 person years for CHS[adj] MI, 8.6 for CMS[1st] and 12.2 for CMS[any]. In general, CVD risk factor associations were similar across the three methods of defining events. Indeed, traditional CVD risk factors were also associated with all first hospitalizations not due to an MI. Conclusions The use of diagnostic codes from claims data as clinical events, especially when restricted to primary diagnoses, leads to an underestimation of event rates. Additionally, claims-based events data represent a composite endpoint that includes the outcome of interest and selected (misclassified) non-event hospitalizations. PMID:26538580

Civil Code, 11 December 1987.

PubMed

1988-01-01

Article 162 of this Mexican Code provides, among other things, that "Every person has the right freely, responsibly, and in an informed fashion to determine the number and spacing of his or her children." When a marriage is involved, this right is to be observed by the spouses "in agreement with each other." The civil codes of the following states contain the same provisions: 1) Baja California (Art. 159 of the Civil Code of 28 April 1972 as revised in Decree No. 167 of 31 January 1974); 2) Morelos (Art. 255 of the Civil Code of 26 September 1949 as revised in Decree No. 135 of 29 December 1981); 3) Queretaro (Art. 162 of the Civil Code of 29 December 1950 as revised in the Act of 9 January 1981); 4) San Luis Potosi (Art. 147 of the Civil Code of 24 March 1946 as revised in 13 June 1978); Sinaloa (Art. 162 of the Civil Code of 18 June 1940 as revised in Decree No. 28 of 14 October 1975); 5) Tamaulipas (Art. 146 of the Civil Code of 21 November 1960 as revised in Decree No. 20 of 30 April 1975); 6) Veracruz-Llave (Art. 98 of the Civil Code of 1 September 1932 as revised in the Act of 30 December 1975); and 7) Zacatecas (Art. 253 of the Civil Code of 9 February 1965 as revised in Decree No. 104 of 13 August 1975). The Civil Codes of Puebla and Tlaxcala provide for this right only in the context of marriage with the spouses in agreement. See Art. 317 of the Civil Code of Puebla of 15 April 1985 and Article 52 of the Civil Code of Tlaxcala of 31 August 1976 as revised in Decree No. 23 of 2 April 1984. The Family Code of Hidalgo requires as a formality of marriage a certification that the spouses are aware of methods of controlling fertility, responsible parenthood, and family planning. In addition, Article 22 the Civil Code of the Federal District provides that the legal capacity of natural persons is acquired at birth and lost at death; however, from the moment of conception the individual comes under the protection of the law, which is valid with respect to the individual as far as the effects of this law provides as if the individual were already born. full text

Development of the University Center for Disaster Preparedness and Emergency Response (UCDPER)

DTIC Science & Technology

2011-09-30

intestinal diseases 004: Shigellosis 006: Amebiasis 001: Cholera 002: Typhoid & paratyphoid fevers Figure 8: Distribution and timing of...between 1997 and 2004. ICD-9 Code Condition #of Hospitalizations 001 002 003 004 005 006 007 008 009 787 558.9 Cholera Typhoid and...paratyphoid fevers Salmonellosis Shigellosis Other food poisoning (bacterial) Amebiasis Other protozoal intestinal diseases Intestinal infection due to

Epidemiology of angina pectoris: role of natural language processing of the medical record

PubMed Central

Pakhomov, Serguei; Hemingway, Harry; Weston, Susan A.; Jacobsen, Steven J.; Rodeheffer, Richard; Roger, Véronique L.

2007-01-01

Background The diagnosis of angina is challenging as it relies on symptom descriptions. Natural language processing (NLP) of the electronic medical record (EMR) can provide access to such information contained in free text that may not be fully captured by conventional diagnostic coding. Objective To test the hypothesis that NLP of the EMR improves angina pectoris (AP) ascertainment over diagnostic codes. Methods Billing records of in- and out-patients were searched for ICD-9 codes for AP, chronic ischemic heart disease and chest pain. EMR clinical reports were searched electronically for 50 specific non-negated natural language synonyms to these ICD-9 codes. The two methods were compared to a standardized assessment of angina by Rose questionnaire for three diagnostic levels: unspecified chest pain, exertional chest pain, and Rose angina. Results Compared to the Rose questionnaire, the true positive rate of EMR-NLP for unspecified chest pain was 62% (95%CI:55–67) vs. 51% (95%CI:44–58) for diagnostic codes (p<0.001). For exertional chest pain, the EMR-NLP true positive rate was 71% (95%CI:61–80) vs. 62% (95%CI:52–73) for diagnostic codes (p=0.10). Both approaches had 88% (95%CI:65–100) true positive rate for Rose angina. The EMR-NLP method consistently identified more patients with exertional chest pain over 28-month follow-up. Conclusion EMR-NLP method improves the detection of unspecified and exertional chest pain cases compared to diagnostic codes. These findings have implications for epidemiological and clinical studies of angina pectoris. PMID:17383310

[Coding in general practice-Will the ICD-11 be a step forward?

PubMed

Kühlein, Thomas; Virtanen, Martti; Claus, Christoph; Popert, Uwe; van Boven, Kees

2018-07-01

Primary care physicians in Germany don't benefit from coding diagnoses-they are coding for the needs of others. For coding, they mostly are using either the thesaurus of the German Institute of Medical Documentation and Information (DIMDI) or self-made cheat-sheets. Coding quality is low but seems to be sufficient for the main use case of the resulting data, which is the morbidity adjusted risk compensation scheme that distributes financial resources between the many German health insurance companies.Neither the International Classification of Diseases and Health Related Problems (ICD-10) nor the German thesaurus as an interface terminology are adequate for coding in primary care. The ICD-11 itself will not recognizably be a step forward from the perspective of primary care. At least the browser database format will be advantageous. An implementation into the 182 different electronic health records (EHR) on the German market would probably standardize the coding process and make code finding easier. This method of coding would still be more cumbersome than the current coding with self-made cheat-sheets.The first steps towards a useful official cheat-sheet for primary care have been taken, awaiting implementation and evaluation. The International Classification of Primary Care (ICPC-2) already provides an adequate classification standard for primary care that can also be used in combination with ICD-10. A new version of ICPC (ICPC-3) is under development. As the ICPC-2 has already been integrated into the foundation layer of ICD-11 it might easily become the future standard for coding in primary care. Improving communication between the different EHR would make taking over codes from other healthcare providers possible. Another opportunity to improve the coding quality might be creating use cases for the resulting data for the primary care physicians themselves.

Treatment of Acute Hepatic Encephalopathy: Comparing the Effects of Adding Rifaximin to Lactulose on Patient Outcomes.

PubMed

Courson, Alesa; Jones, G Morgan; Twilla, Jennifer D

2016-06-01

Rifaximin is approved for the reduction of hepatic encephalopathy (HE) recurrence in patients with chronic liver disease (CLD); however, few studies have evaluated the benefit of adding rifaximin to lactulose for treatment of acute HE. The aim of this study was to determine the impact of combination therapy with lactulose and rifaximin on hospital length of stay (LOS) and readmission rates. A retrospective study of patients admitted to an adult hospital within the Methodist LeBonheur Healthcare (MLH) System in Memphis, Tennessee, between 2007 and 2012 was conducted. Patients were identified via International Classification of Diseases, Ninth Revision (ICD-9) coding for liver cirrhosis. Of the 173 patients included, 87 (50%) received lactulose monotherapy and 62 (36%) combination therapy, while 24 (14%) underwent therapy escalation. Median LOS was 6 days in monotherapy group and 8 days in combination group (P = .9). At 180 days, patients receiving combination therapy had fewer readmissions for HE than those receiving monotherapy (2.4% vs 16.2%, P = .02). Addition of rifaximin to lactulose for treatment of acute HE did not reduce hospital LOS; however, it did result in lower readmission rates for HE at 180 days. © The Author(s) 2015.

The accuracy of International Classification of Diseases coding for dental problems not associated with trauma in a hospital emergency department.

PubMed

Figueiredo, Rafael L F; Singhal, Sonica; Dempster, Laura; Hwang, Stephen W; Quinonez, Carlos

2015-01-01

Emergency department (ED) visits for nontraumatic dental conditions (NTDCs) may be a sign of unmet need for dental care. The objective of this study was to determine the accuracy of the International Classification of Diseases codes (ICD-10-CA) for ED visits for NTDC. ED visits in 2008-2099 at one hospital in Toronto were identified if the discharge diagnosis in the administrative database system was an ICD-10-CA code for a NTDC (K00-K14). A random sample of 100 visits was selected, and the medical records for these visits were reviewed by a dentist. The description of the clinical signs and symptoms were evaluated, and a diagnosis was assigned. This diagnosis was compared with the diagnosis assigned by the physician and the code assigned to the visit. The 100 ED visits reviewed were associated with 16 different ICD-10-CA codes for NTDC. Only 2 percent of these visits were clearly caused by trauma. The code K0887 (toothache) was the most frequent diagnostic code (31 percent). We found 43.3 percent disagreement on the discharge diagnosis reported by the physician, and 58.0 percent disagreement on the code in the administrative database assigned by the abstractor, compared with what it was suggested by the dentist reviewing the chart. There are substantial discrepancies between the ICD-10-CA diagnosis assigned in administrative databases and the diagnosis assigned by a dentist reviewing the chart retrospectively. However, ICD-10-CA codes can be used to accurately identify ED visits for NTDC. © 2015 American Association of Public Health Dentistry.

Children Treated at an Expeditionary Military Hospital in Iraq

DTIC Science & Technology

2006-09-01

5) Gastroesophageal reflux (530.81) 1 Rectal prolapse (569.1) 1 Aspirated foreign object (934) 1 Dehydration (276.5) 1 Failure to thrive (783.41) 1...ICD-9, International Classification of Diseases , Ninth Revision. (REPRINTED) ARCH PEDIATR ADOLESC MED/ VOL 160, SEP 2006 WWW.ARCHPEDIATRICS.COM 974...Pediatric diseases and operational deployments. Mil Med. 2000;165:283- 286. 2. Chmatal P, Bohonek M, Dobiasova M, Hasek R, Cernohous M. A humanitarian

Multispecialty retrospective review of the clinical utility of pelvic magnetic resonance imaging in the setting of pelvic pain.

PubMed

Moore, John R; Pathak, Ram A; Snowden, Caroline; Bolan, Candice W; Young, Paul R; Broderick, Gregory A

2017-12-01

Pelvic pain is a common complaint, and management of it is often difficult. We sought to evaluate the utility of magnetic resonance imaging (MRI) in the diagnosis of male pelvic pain. Though MRIs are commonly ordered to evaluate pelvic pain, there are very few studies obtaining the efficacy of pelvic MRI in determining a definitive diagnosis. The primary aim of our study was to evaluate the clinical utility of pelvic MRI for a diagnosis code that included pain. After receiving institutional review board approval, a retrospective study was performed of all pelvic MRIs completed at our institution from January 2, 2010 to December 31, 2014. These were further delineated into ordering providers by specialty and urology-specific International Classification of Diseases, Ninth Revision (ICD-9) code diagnoses (male pelvic pain, prostatitis, groin pain, scrotal pain, testicular pain, and penile pain). Clinical utility was defined as positive if MRI findings resulted in a change in management. Subanalysis was performed on patients with an ICD-9 co-diagnosis of previous oncologic concern. A total of 2,643 pelvic MRIs were ordered at our institution over a 5-year period. Of these, 597 pelvic MRIs (23%) were ordered for a diagnosis code that included pain (hip pain, rectal pain, joint pain, penile pain, scrotal pain, male pelvic pain and orchitis). Total utility for MRIs to find anatomic abnormalities potentially responsible for the present pain was 34% (205/597). When ordered by urologic providers, utility was 23%. Oncologists represented the highest positivity rate at 57%. Chronic pelvic pain is a multispecialty complaint that is difficult to treat. We were surprised to find the large number of both specialists and generalists invested in the management of pelvic pain. The increasing availability of MRI technology makes it a likely candidate to test for a clinically significant anatomic reason for pain. Though MRI is a test with minimal adverse effect and no increased risk of radiation exposure, the cost on the healthcare system should be offset by a clear clinical utility. We found total utility to be 34% across all ordering providers and an increase in positivity with concern of oncologic disease. Therefore, we would recommend pelvic MRIs in the evaluation of patients with refractory pelvic pain.

Development of a list of high-risk operations for patients 65 years and older.

PubMed

Schwarze, Margaret L; Barnato, Amber E; Rathouz, Paul J; Zhao, Qianqian; Neuman, Heather B; Winslow, Emily R; Kennedy, Gregory D; Hu, Yue-Yung; Dodgion, Christopher M; Kwok, Alvin C; Greenberg, Caprice C

2015-04-01

No consensus exists regarding the definition of high-risk surgery in older adults. An inclusive and precise definition of high-risk surgery may be useful for surgeons, patients, researchers, and hospitals. To develop a list of high-risk operations. Retrospective cohort study and modified Delphi procedure. The setting included all Pennsylvania acute care hospitals (Pennsylvania Health Care Cost Containment Council [PHC4] April 1, 2001, to December 31, 2007) and a nationally representative sample of US acute care hospitals (Nationwide Inpatient Sample [NIS], Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality January 1, 2001, to December 31, 2006). Patients included were those 65 years and older admitted to PHC4 hospitals and those 18 years and older admitted to NIS hospitals. We identified International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) procedure codes associated with at least 1% inpatient mortality in the PHC4. We used a modified Delphi procedure with 5 board-certified surgeons to further refine this list by excluding nonoperative procedures and operations that were unlikely to be the proximate cause of mortality and were instead a marker of critical illness (eg, tracheostomy). We then cross-validated this list of ICD-9-CM codes in the NIS. Modified Delphi procedure consensus of at least 4 of 5 panelists and proportion agreement in the NIS. Among 4,739,522 admissions of patients 65 years and older in the PHC4, a total of 2,569,589 involved a procedure, encompassing 2853 unique procedures. Of 1130 procedures associated with a crude inpatient mortality of at least 1%, 264 achieved consensus as high-risk operations by the modified Delphi procedure. The observed inpatient mortality in the NIS was at least 1% for 227 of 264 procedures (86%) in patients 65 years and older. The pooled inpatient mortality for these identified high-risk procedures performed on patients 65 years and older was double the pooled inpatient mortality for correspondingly identified high-risk operations for patients younger than 65 years (6% vs 3%). We developed a list of procedure codes to identify high-risk surgical procedures in claims data. This list of high-risk operations can be used to standardize the definition of high-risk surgery in quality and outcomes-based studies and to design targeted clinical interventions.

U.S. military mental health care utilization and attrition prior to the wars in Iraq and Afghanistan.

PubMed

Garvey Wilson, Abigail L; Messer, Stephen C; Hoge, Charles W

2009-06-01

Health care utilization studies of mental disorders focus largely on the ICD-9 category 290-319, and do not generally include analysis of visits for mental health problems identified under V-code categories. Although active duty service members represent a large young adult employed population who use mental health services at similar rates as age-matched civilian populations, V-codes are used in a larger proportion of mental health visits in military mental health care settings than in civilian settings. However, the utilization of these diagnoses has not been systematically studied. The purpose of this study is to characterize outpatient behavioral health visits in military health care facilities prior to Operation Iraqi Freedom, including the use of diagnoses outside of the ICD-9 290-319 range, in order to evaluate the overall burden of mental health care. This study establishes baseline rates of mental health care utilization in military mental health clinics in 2000 and serves as a comparison for future studies of the mental health care burden of the current war. All active duty service members who received care in military outpatient clinics in 2000 (n = 1.35 million) were included. Primary diagnoses were grouped according to mental health relevance in the following categories: mental disorders (ICD-9 290-319), mental health V-code diagnoses (used primarily by behavioral health providers that were indicative of a potential mental health problem), and all other diagnoses. Rates of service utilization within behavioral health clinics were compared with rates in other outpatient clinics for each of the diagnostic groups, reported as individuals or visits per 1,000 person-years. Cox proportional hazard regression was used to produce hazard ratios as measures of association between each of the diagnostic groups and attrition from military service. Time to attrition in months was the difference between the date of military separation and the date of first clinic visit in 2000. Data were obtained from the Defense Medical Surveillance System. The total number of individuals who utilized behavioral health services in 2000 was just over 115 per 1,000 person-years, almost 12% of the military population. Out of every 1,000 person-years, 57.5 individuals received care from behavioral health providers involving an ICD-9 290-319 mental disorder diagnosis, and an additional 26.7 per 1,000 person-years received care in behavioral health clinics only for V-code diagnoses. Attrition from service was correlated with both categories of mental health-related diagnoses. After 1 year, approximately 38% of individuals who received a mental disorder diagnosis left the military, compared with 23% of those who received mental health V-code diagnoses and 14% of those who received health care for any other reason (which included well visits for routine physicals). This study establishes baseline rates of pre-war behavioral healthcare utilization among military service members, and the relationship of mental health care use and attrition from service. The research indicates that in the military population the burden of mental illness in outpatient clinics is significantly greater when V-code diagnoses are included along with conventional mental disorder diagnostic codes.

Evaluating Open-Source Full-Text Search Engines for Matching ICD-10 Codes.

PubMed

Jurcău, Daniel-Alexandru; Stoicu-Tivadar, Vasile

2016-01-01

This research presents the results of evaluating multiple free, open-source engines on matching ICD-10 diagnostic codes via full-text searches. The study investigates what it takes to get an accurate match when searching for a specific diagnostic code. For each code the evaluation starts by extracting the words that make up its text and continues with building full-text search queries from the combinations of these words. The queries are then run against all the ICD-10 codes until a match indicates the code in question as a match with the highest relative score. This method identifies the minimum number of words that must be provided in order for the search engines choose the desired entry. The engines analyzed include a popular Java-based full-text search engine, a lightweight engine written in JavaScript which can even execute on the user's browser, and two popular open-source relational database management systems.

Colectomy for constipation: time trends and impact based on the US Nationwide Inpatient Sample, 1998-2011.

PubMed

Dudekula, A; Huftless, S; Bielefeldt, K

2015-12-01

Current guidelines include subtotal colectomy as treatment for refractory slow transit constipation. To use the US Nationwide Inpatient Sample (NIS) (1998-2011) and longitudinal data from the State Inpatient Database (2005-2011), comparable to NIS, to examine colectomy rates, in-hospital morbidity and emergency department (ED) visits or readmissions among patients treated for constipation. Colectomies for any reason were identified based on the primary procedural code (ICD-9-CM 45.8x). Index hospitalisations were defined by the primary diagnosis of constipation (ICD-9-CM 564.x) associated with the primary procedural code for colectomy (ICD-9-CM45.8x) after exclusion of other diseases associated with colectomy. Demographic variables, comorbidities, complications and adverse events during the hospitalisation were captured, and ED visits and admissions were recorded for periods before and after colectomy. Nationally, colectomies for constipation rose from 104 procedures in 1998 (1.2% of annual colectomies) to 311 in 2011 (2.4% of annual colectomies). While there were no perioperative deaths, perioperative complications occurred in 42.7% of patients during the index hospitalisation. Longitudinal data were analysed for 181 patients, with similar perioperative complications and a readmission rate of 28.9% within the first 30 days after the index hospitalisation. Resource utilisation was tracked for a median time of 630 (0-2386) before and 463 (0-2204) days after colectomy with unchanged ED visits (median: 2 vs. 2, P = 0.21), but increased hospitalisations (median: 1 vs. 2, P = 0.003). Colectomy rates for constipation are rising, are associated with significant morbidity and do not decrease resource utilisation, raising questions about the true benefit of surgery for slow transit constipation. © 2015 John Wiley & Sons Ltd.

California’s Parkinson’s Disease Registry Pilot Project - Coordination Center and Northern California Ascertainment

DTIC Science & Technology

2014-03-01

www.capdregistry.org) and email box were created and launched in March, 2008. Requests for information about the registry from patients, colleagues and...d. Review and determination of study diagnosis. For cases with multiple parkinsonism codes (i.e. diagnosed with more than one of 332.0, 333.0...individuals (10.7%) had ICD-9 codes for other forms of neurodegenerative parkinsonism . The remaining 2.1% were primarily drug- induced parkinsonism

General anesthesia exposure in early life reduces the risk of allergic diseases: A nationwide population-based cohort study.

PubMed

Kuo, Ho-Chang; Yang, Ya-Ling; Ho, Shu-Chen; Guo, Mindy Ming-Huey; Jiang, Jyun-Hong; Huang, Ying-Hsien

2016-07-01

General anesthesia (GA) has been used for second line treatment strategy for status asthmaticus in pediatric patients. The association between GA in children and risk of followed-up allergic diseases is unclear. This study aims to assess the risk of allergic diseases after GA in children.We did a nationwide retrospective cohort study by analyzing data from the National Health Insurance Research Database (NHIRD) in Taiwan. The subsequent risks for allergic diseases, including asthma (ICD-9: 493.X), allergic rhinitis (AR; ICD-9 CM code 477.X), and atopic dermatitis (AD; ICD-9-CM code 691.X), were compared between exposure to GA and none before 1 year of age throughout the follow-up period using the Cox proportional hazards model.Insurance claims data for 32,742 children younger than 1 year old from all insured children in the NHIRD. Of those, 2358 subjects were exposed to GA; 414 and 1944 children exposed to mask and intubation ventilation, respectively, served as the study cohort, whereas the remaining 30,384 children made up the comparison cohort. Children in the GA group were at a lower risk of developing asthma, AR and AD, with adjusted hazard ratios of 0.67 (0.62-0.72, 95%CI), 0.72 (0.68-0.77, 95%CI), 0.60 (0.56-0.64, 95%CI), respectively.Children who were exposed to GA in early life before 1 year of age had reduced risk of subsequently developing allergic diseases such as asthma, AD, and AR, when compared with general population.

Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior?

PubMed

Arias, Sarah A; Boudreaux, Edwin D; Chen, Elizabeth; Miller, Ivan; Camargo, Carlos A; Jones, Richard N; Uebelacker, Lisa

2018-05-23

In an emergency department (ED) sample, we investigated the concordance between identification of suicide-related visits through standardized comprehensive chart review versus a subset of three specific chart elements: ICD-9-CM codes, free-text presenting complaints, and free-text physician discharge diagnoses. Review of medical records for adults (≥18 years) at eight EDs across the United States. A total of 3,776 charts were reviewed. A combination of the three chart elements (ICD-9-CM, presenting complaints, and discharge diagnoses) provided the most robust data with 85% sensitivity, 96% specificity, 92% PPV, and 92% NPV. These findings highlight the use of key discrete fields in the medical record that can be extracted to facilitate identification of whether an ED visit was suicide-related.

Validity of peptic ulcer disease and upper gastrointestinal bleeding diagnoses in administrative databases: a systematic review protocol.

PubMed

Montedori, Alessandro; Abraha, Iosief; Chiatti, Carlos; Cozzolino, Francesco; Orso, Massimiliano; Luchetta, Maria Laura; Rimland, Joseph M; Ambrosio, Giuseppe

2016-09-15

Administrative healthcare databases are useful to investigate the epidemiology, health outcomes, quality indicators and healthcare utilisation concerning peptic ulcers and gastrointestinal bleeding, but the databases need to be validated in order to be a reliable source for research. The aim of this protocol is to perform the first systematic review of studies reporting the validation of International Classification of Diseases, 9th Revision and 10th version (ICD-9 and ICD-10) codes for peptic ulcer and upper gastrointestinal bleeding diagnoses. MEDLINE, EMBASE, Web of Science and the Cochrane Library databases will be searched, using appropriate search strategies. We will include validation studies that used administrative data to identify peptic ulcer disease and upper gastrointestinal bleeding diagnoses or studies that evaluated the validity of peptic ulcer and upper gastrointestinal bleeding codes in administrative data. The following inclusion criteria will be used: (a) the presence of a reference standard case definition for the diseases of interest; (b) the presence of at least one test measure (eg, sensitivity, etc) and (c) the use of an administrative database as a source of data. Pairs of reviewers will independently abstract data using standardised forms and will evaluate quality using the checklist of the Standards for Reporting of Diagnostic Accuracy (STARD) criteria. This systematic review protocol has been produced in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocol (PRISMA-P) 2015 statement. Ethics approval is not required given that this is a protocol for a systematic review. We will submit results of this study to a peer-reviewed journal for publication. The results will serve as a guide for researchers validating administrative healthcare databases to determine appropriate case definitions for peptic ulcer disease and upper gastrointestinal bleeding, as well as to perform outcome research using administrative healthcare databases of these conditions. CRD42015029216. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Association of Model for End-Stage Liver Disease Score With Mortality in Emergency General Surgery Patients.

PubMed

Havens, Joaquim M; Columbus, Alexandra B; Olufajo, Olubode A; Askari, Reza; Salim, Ali; Christopher, Kenneth B

2016-07-20

Emergency general surgery (EGS) patients have a disproportionate burden of death and complications. Chronic liver disease (CLD) increases the risk of complications following elective surgery. For EGS patients with CLD, long-term outcomes are unknown and risk stratification models do not reflect severity of CLD. To determine whether the Model for End-Stage Liver Disease (MELD) score is associated with increased risk of 90-day mortality following intensive care unit (ICU) admission in EGS patients. We performed a retrospective cohort study of patients with CLD who underwent an EGS procedure based on International Classification of Diseases, Ninth Revision (ICD-9) procedure codes and were admitted to a medical or surgical ICU within 48 hours of surgery between January 1, 1998, and September 20, 2012, at 2 academic medical centers. Chronic liver disease was identified using ICD-9 codes. Multivariable logistic regression was performed. The analysis was conducted from July 1, 2015, to January 1, 2016. The primary outcome was all-cause 90-day mortality. A total of 13 552 EGS patients received critical care; of these, 707 (5%) (mean [SD] age at hospital admission, 56.6 [14.2] years; 64% male; 79% white) had CLD and data to determine MELD score at ICU admission. The median MELD score was 14 (interquartile range, 10-20). Overall 90-day mortality was 30.1%. The adjusted odds ratio of 90-day mortality for each 10-point increase in MELD score was 1.63 (95% CI, 1.34-1.98). A decrease in MELD score of more than 3 in the 48 hours following ICU admission was associated with a 2.2-fold decrease in 90-day mortality (odds ratio = 0.46; 95% CI, 0.22-0.98). In this study, MELD score was associated with 90-day mortality following EGS in patients with CLD. The MELD score can be used as a prognostic factor in this patient population and should be used in preoperative risk prediction models and when counseling EGS patients on the risks and benefits of operative intervention.

Radical prostatectomy innovation and outcomes at military and civilian institutions.

PubMed

Leow, Jeffrey J; Weissman, Joel S; Kimsey, Linda; Hoburg, Andrew; Helmchen, Lorens A; Jiang, Wei; Hevelone, Nathanael; Lipsitz, Stuart R; Nguyen, Louis L; Chang, Steven L

2017-06-01

Limited data are available regarding the impact of the type of healthcare delivery system on technology diffusion and associated clinical outcomes. We assessed the adoption of minimally invasive radical prostatectomy (MIRP), a recent clinical innovation, and whether this adoption altered surgical morbidity for prostate cancer surgery. Retrospective review of administrative data from TRICARE, the healthcare program of the United States Military Health System. Surgery occurred at military hospitals, supported by federal appropriations, or civilian hospitals, supported by hospital revenue. We evaluated TRICARE beneficiaries with prostate cancer (International Classification of Disease, 9th Revision, Clinical Modification [ICD-9-CM] code: 185) who received a radical prostatectomy (60.5) between 2005 and 2009. MIRP was identified based on minimally invasive surgery codes (54.21, 17.42). We assessed yearly MIRP utilization, 30-day postoperative complications (Clavien classification system), length of stay, blood transfusion, and long-term urinary incontinence and erectile dysfunction. A total of 3366 men underwent radical prostatectomy at military hospitals compared with 1716 at civilian hospitals, with minimal clinic-demographic differences. MIRP adoption was 30% greater at civilian hospitals. There were fewer blood transfusions (odds ratio, 0.44; P <.0001) and shorter lengths of stay (incidence risk ratio, 0.85; P <.0001) among civilian hospitals, while 30-day postoperative complications, as well as long-term urinary incontinence and erectile dysfunction rates, were comparable. Compared with military hospitals, civilian hospitals had a greater MIRP adoption during this timeframe, but had comparable surgical morbidity.

Incidence of Pulmonary Disease in Inflammatory Bowel Disease

DTIC Science & Technology

2017-03-30

were conducted according to the principles set forth in the National Institute of Health Publication No. 80·23, Guide for the Care and Use of...Multi- Market . This was used as the study group and was cross referenced by the SAMMC HCO for the ICD-9 codes of pulmonary diagnoses (See table 1 ). The

42 CFR 412.428 - Publication of Updates to the inpatient psychiatric facility prospective payment system.

Code of Federal Regulations, 2010 CFR

2010-10-01

... the methodology and data used to calculate the updated Federal per diem base payment amount. (b)(1... maintain the appropriate outlier percentage. (e) Describe the ICD-9-CM coding changes and DRG... psychiatric facilities for which the fiscal intermediary obtains inaccurate or incomplete data with which to...

Pediatric emergency room visits for nontraumatic dental disease.

PubMed

Graham, D B; Webb, M D; Seale, N S

2000-01-01

This study described the incidence and predisposing, enabling, and need factors of outpatients in a pediatric ER who sought care for nontraumatic preventable dental disease and analyzed treatment rendered by attending physicians and associated hospital charges for treatment. Chart review of outpatients discharged from the ER of a children's hospital during 1996-97, using ICD-9 diagnostic codes for dental caries, periapical abscess and facial cellulitis yielded the data for this investigation. During 1996-97, 149 patients made 159 ER visits. The most common diagnoses were ICD-9 codes 521.0 for dental caries (48%) and 522.5 for periapical abscess (47%). Medicaid recipients used the ER at an intermediate level between patients with no payor source and those with private insurance. Almost one-half of the accounts changed status during the billing process, with the majority being entered as private pay upon admission, but changing to bad debt or charity after the registration records were processed and collection was attempted. Most patients were treated empirically by the ER physicians according to their presenting signs/symptoms. This study confirmed that parents utilize the ER as their child's primary dental care source.

Diagnosing somatisation disorder (P75) in routine general practice using the International Classification of Primary Care.

PubMed

Schaefert, Rainer; Laux, Gunter; Kaufmann, Claudia; Schellberg, Dieter; Bölter, Regine; Szecsenyi, Joachim; Sauer, Nina; Herzog, Wolfgang; Kuehlein, Thomas

2010-09-01

(i) To analyze general practitioners' diagnosis of somatisation disorder (P75) using the International Classification of Primary Care (ICPC)-2-E in routine general practice. (ii) To validate the distinctiveness of the ICD-10 to ICPC-2 conversion rule which maps ICD-10 dissociative/conversion disorder (F44) as well as half of the somatoform categories (F45.0-2) to P75 and codes the other half of these disorders (F45.3-9), including autonomic organ dysfunctions and pain syndromes, as symptom diagnoses plus a psychosocial code in a multiaxial manner. Cross-sectional analysis of routine data from a German research database comprising the electronic patient records of 32 general practitioners from 22 practices. For each P75 patient, control subjects matched for age, gender, and practice were selected from the 2007 yearly contact group (YCG) without a P75 diagnosis using a propensity-score algorithm that resulted in eight controls per P75 patient. Of the 49,423 patients in the YCG, P75 was diagnosed in 0.6% (302) and F45.3-9 in 1.8% (883) of cases; overall, somatisation syndromes were diagnosed in 2.4% of patients. The P75 coding pattern coincided with typical characteristics of severe, persistent medically unexplained symptoms (MUS). F45.3-9 was found to indicate moderate MUS that otherwise showed little clinical difference from P75. Pain syndromes exhibited an unspecific coding pattern. Mild and moderate MUS were predominantly recorded as symptom diagnoses. Psychosocial codes were rarely documented. ICPC-2 P75 was mainly diagnosed in cases of severe MUS. Multiaxial coding appears to be too complicated for routine primary care. Instead of splitting P75 and F45.3-9 diagnoses, it is proposed that the whole MUS spectrum should be conceptualized as a continuum model comprising categorizations of uncomplicated (mild) and complicated (moderate and severe) courses. Psychosocial factors require more attention. Copyright (c) 2010 Elsevier Inc. All rights reserved.

The disclosure of diagnosis codes can breach research participants' privacy.

PubMed

Loukides, Grigorios; Denny, Joshua C; Malin, Bradley

2010-01-01

De-identified clinical data in standardized form (eg, diagnosis codes), derived from electronic medical records, are increasingly combined with research data (eg, DNA sequences) and disseminated to enable scientific investigations. This study examines whether released data can be linked with identified clinical records that are accessible via various resources to jeopardize patients' anonymity, and the ability of popular privacy protection methodologies to prevent such an attack. The study experimentally evaluates the re-identification risk of a de-identified sample of Vanderbilt's patient records involved in a genome-wide association study. It also measures the level of protection from re-identification, and data utility, provided by suppression and generalization. Privacy protection is quantified using the probability of re-identifying a patient in a larger population through diagnosis codes. Data utility is measured at a dataset level, using the percentage of retained information, as well as its description, and at a patient level, using two metrics based on the difference between the distribution of Internal Classification of Disease (ICD) version 9 codes before and after applying privacy protection. More than 96% of 2800 patients' records are shown to be uniquely identified by their diagnosis codes with respect to a population of 1.2 million patients. Generalization is shown to reduce further the percentage of de-identified records by less than 2%, and over 99% of the three-digit ICD-9 codes need to be suppressed to prevent re-identification. Popular privacy protection methods are inadequate to deliver a sufficiently protected and useful result when sharing data derived from complex clinical systems. The development of alternative privacy protection models is thus required.

Stroke Risk and Mortality in Patients with Ventricular Assist Devices

PubMed Central

Parikh, Neal S.; Cool, Joséphine; Karas, Maria G.; Boehme, Amelia K.; Kamel, Hooman

2016-01-01

Background and Purpose Ventricular assist devices (VADs) have advanced the management of end-stage heart failure. However, these devices are associated with hemorrhagic and thrombotic complications, including stroke. We assessed the incidence, risk factors, and outcomes of ischemic and hemorrhagic stroke after VAD placement. Methods Using administrative claims data from acute care hospitals in California, Florida, and New York from 2005–2013, we identified patients who underwent VAD placement, defined by International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code 37.66. Ischemic and hemorrhagic strokes were identified by previously validated coding algorithms. We used survival statistics to determine incidence rates and Cox proportional hazard analyses to examine associations. Results Among 1,813 patients, we identified 201 ischemic strokes and 116 hemorrhagic strokes during 3.4 (±2.0) years of follow-up after implantation of a VAD. The incidence of stroke was 8.7% per year (95% confidence interval [CI], 7.7–9.7%). The annual incidence of ischemic stroke (5.5%; 95% CI, 4.8–6.4%) was nearly double that of hemorrhagic stroke (3.1%; 95% CI, 2.6–3.8%). Women faced a higher hazard of stroke than men (hazard ratio [HR], 1.6; 95% CI, 1.2–2.1), particularly hemorrhagic stroke (HR, 2.2; 95% CI, 1.4–3.4). Stroke was strongly associated with subsequent in-hospital mortality (HR, 6.1; 95% CI, 4.6–7.9). Conclusions The incidence of stroke after VAD implantation was 8.7% per year, and incident stroke was strongly associated with subsequent in-hospital mortality. Notably, ischemic stroke occurred at nearly twice the rate of hemorrhagic stroke. Women appeared to face a higher risk for hemorrhagic stroke than men. PMID:27650070

The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries.

PubMed

Reed, Geoffrey M; Sharan, Pratap; Rebello, Tahilia J; Keeley, Jared W; Elena Medina-Mora, María; Gureje, Oye; Luis Ayuso-Mateos, José; Kanba, Shigenobu; Khoury, Brigitte; Kogan, Cary S; Krasnov, Valery N; Maj, Mario; de Jesus Mari, Jair; Stein, Dan J; Zhao, Min; Akiyama, Tsuyoshi; Andrews, Howard F; Asevedo, Elson; Cheour, Majda; Domínguez-Martínez, Tecelli; El-Khoury, Joseph; Fiorillo, Andrea; Grenier, Jean; Gupta, Nitin; Kola, Lola; Kulygina, Maya; Leal-Leturia, Itziar; Luciano, Mario; Lusu, Bulumko; Nicolas, J; Martínez-López, I; Matsumoto, Chihiro; Umukoro Onofa, Lucky; Paterniti, Sabrina; Purnima, Shivani; Robles, Rebeca; Sahu, Manoj K; Sibeko, Goodman; Zhong, Na; First, Michael B; Gaebel, Wolfgang; Lovell, Anne M; Maruta, Toshimasa; Roberts, Michael C; Pike, Kathleen M

2018-06-01

Reliable, clinically useful, and globally applicable diagnostic classification of mental disorders is an essential foundation for global mental health. The World Health Organization (WHO) is nearing completion of the 11th revision of the International Classification of Diseases and Related Health Problems (ICD-11). The present study assessed inter-diagnostician reliability of mental disorders accounting for the greatest proportion of global disease burden and the highest levels of service utilization - schizophrenia and other primary psychotic disorders, mood disorders, anxiety and fear-related disorders, and disorders specifically associated with stress - among adult patients presenting for treatment at 28 participating centers in 13 countries. A concurrent joint-rater design was used, focusing specifically on whether two clinicians, relying on the same clinical information, agreed on the diagnosis when separately applying the ICD-11 diagnostic guidelines. A total of 1,806 patients were assessed by 339 clinicians in the local language. Intraclass kappa coefficients for diagnoses weighted by site and study prevalence ranged from 0.45 (dysthymic disorder) to 0.88 (social anxiety disorder) and would be considered moderate to almost perfect for all diagnoses. Overall, the reliability of the ICD-11 diagnostic guidelines was superior to that previously reported for equivalent ICD-10 guidelines. These data provide support for the suitability of the ICD-11 diagnostic guidelines for implementation at a global level. The findings will inform further revision of the ICD-11 diagnostic guidelines prior to their publication and the development of programs to support professional training and implementation of the ICD-11 by WHO member states. © 2018 World Psychiatric Association.

A combined paging alert and web-based instrument alters clinician behavior and shortens hospital length of stay in acute pancreatitis.

PubMed

Dimagno, Matthew J; Wamsteker, Erik-Jan; Rizk, Rafat S; Spaete, Joshua P; Gupta, Suraj; Sahay, Tanya; Costanzo, Jeffrey; Inadomi, John M; Napolitano, Lena M; Hyzy, Robert C; Desmond, Jeff S

2014-03-01

There are many published clinical guidelines for acute pancreatitis (AP). Implementation of these recommendations is variable. We hypothesized that a clinical decision support (CDS) tool would change clinician behavior and shorten hospital length of stay (LOS). Observational study, entitled, The AP Early Response (TAPER) Project. Tertiary center emergency department (ED) and hospital. Two consecutive samplings of patients having ICD-9 code (577.0) for AP were generated from the emergency department (ED) or hospital admissions. Diagnosis of AP was based on conventional Atlanta criteria. The Pre-TAPER-CDS-Tool group (5/30/06-6/22/07) had 110 patients presenting to the ED with AP per 976 ICD-9 (577.0) codes and the Post-TAPER-CDS-Tool group (5/30/06-6/22/07) had 113 per 907 ICD-9 codes (7/14/10-5/5/11). The TAPER-CDS-Tool, developed 12/2008-7/14/2010, is a combined early, automated paging-alert system, which text pages ED clinicians about a patient with AP and an intuitive web-based point-of-care instrument, consisting of seven early management recommendations. The pre- vs. post-TAPER-CDS-Tool groups had similar baseline characteristics. The post-TAPER-CDS-Tool group met two management goals more frequently than the pre-TAPER-CDS-Tool group: risk stratification (P<0.0001) and intravenous fluids >6L/1st 0-24 h (P=0.0003). Mean (s.d.) hospital LOS was significantly shorter in the post-TAPER-CDS-Tool group (4.6 (3.1) vs. 6.7 (7.0) days, P=0.0126). Multivariate analysis identified four independent variables for hospital LOS: the TAPER-CDS-Tool associated with shorter LOS (P=0.0049) and three variables associated with longer LOS: Japanese severity score (P=0.0361), persistent organ failure (P=0.0088), and local pancreatic complications (<0.0001). The TAPER-CDS-Tool is associated with changed clinician behavior and shortened hospital LOS, which has significant financial implications.

Pressure Injuries in Inpatient Care Facilities in the Czech Republic: Analysis of a National Electronic Database.

PubMed

Pokorná, Andrea; Benešová, Klára; Jarkovský, Jirˇí; Mužík, Jan; Beeckman, Dimitri

The purpose of this study was to analyze pressure injury (PI) occurrence upon admission and at any time during the hospital course inpatients care facilities in the Czech Republic. Secondary aims were to evaluate demographic and clinical data of patients with PI and the impact of a PI on length of stay (LOS) in the hospital. Retrospective, cross-sectional analysis. The sample comprised data of hospitalized patients entered into the National Register of Hospitalized Patients (NRHOSP) database of the Czech Republic between 2007 and 2014 with a diagnosis L89 (pressure ulcer of unspecified site based on the International Classification of Diseases, Tenth Revision, ICD-10). Electronic records of 17,762,854 hospitalizations were reviewed. Data from the NRHOSP from all acute and non-acute care hospitals in the Czech Republic were analyzed. Specifically, we analyzed patients admitted to acute and non-acute care facilities with a primary or secondary diagnosis of PI. The NRHOSP database included 17,762,854 cases, of which 46,224 cases (33,342 cases in acute care hospitals; 12,882 in non-acute care hospitals) had the L89 diagnosis (0.3%). The mean age of patients admitted with a PI was 73.8 ± 15.3 years (mean ± SD), and their average LOS was 33.2 ± 76.9 days. The mean LOS of patients hospitalized with L89 code as a primary diagnosis (n = 6877) was significantly longer compared to those patients for whom L89 code was a secondary diagnosis (25.8 vs 20.2 days, P < .001) in acute care facilities. In contrast, we found no difference in the mean LOS for patients hospitalized in non-acute care facility (58.7 days vs 65.1 days; P = .146) with ICD code L89. Pressure injuries were associated with significant LOS in both acute and non-acute care settings in the Czech Republic. Despite the valuable insights we obtained from the analysis of NRHOSP data, we advocate creation of a more valid and reliable electronic reporting system that enables policy makers to evaluate the quality and safety concerning PI and its impact on patients and the healthcare system.

[Death certificate data in France: Production process and main types of analyses].

PubMed

Rey, G

2016-10-01

Mortality data, by the unambiguity of their definition and understanding by all stakeholders, and completeness of registration, are a cornerstone of public health statistics in France and in most industrialized countries. This article describes the data production process, and the main types of possible analyses. Data production is composed of different stages: death certification by a medical doctor on paper or electronic (using a web application) format, data transmission to Inserm, capture and coding of information. The encoding of the information follows the WHO recommendations of the International Classification of Diseases ([ICD], 10th revision used since 2000). It is carried out using an automatic coding software, called Iris, developed in an international consortium. The coding aims, first, at assigning an ICD code to all nosologic entities encountered on the certificate, and then at selecting the underlying cause of death. The latter is the main information used for statistical analyses. Three main types of analysis emerge in the literature: the exploitation of data on the death certificate only, ecological analyses (studies of associations between variables measured across groups) and analysis from data individually linked to other databases. Many public health issues can be addressed with these various analyses. Several developments in the production process are being implemented: the deployment of electronic certification, increased automation of the death certificate information processing and durable and complete record linkage with health insurance and hospitalisation data. They could soon be deeply expanding the scope of possible uses of causes of death data. Copyright © 2016 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier SAS. All rights reserved.

A systematic review of validated methods to capture stillbirth and spontaneous abortion using administrative or claims data.

PubMed

Likis, Frances E; Sathe, Nila A; Carnahan, Ryan; McPheeters, Melissa L

2013-12-30

To identify and assess diagnosis, procedure and pharmacy dispensing codes used to identify stillbirths and spontaneous abortion in administrative and claims databases from the United States or Canada. We searched the MEDLINE database from 1991 to September 2012 using controlled vocabulary and key terms related to stillbirth or spontaneous abortion. We also searched the reference lists of included studies. Two investigators independently assessed the full text of studies against pre-determined inclusion criteria. Two reviewers independently extracted data regarding participant and algorithm characteristics and assessed each study's methodological rigor using a pre-defined approach. Ten publications addressing stillbirth and four addressing spontaneous abortion met our inclusion criteria. The International Classification of Diseases, Ninth Revision (ICD-9) codes most commonly used in algorithms for stillbirth were those for intrauterine death (656.4) and stillborn outcomes of delivery (V27.1, V27.3-V27.4, and V27.6-V27.7). Papers identifying spontaneous abortion used codes for missed abortion and spontaneous abortion: 632, 634.x, as well as V27.0-V27.7. Only two studies identifying stillbirth reported validation of algorithms. The overall positive predictive value of the algorithms was high (99%-100%), and one study reported an algorithm with 86% sensitivity. However, the predictive value of individual codes was not assessed and study populations were limited to specific geographic areas. Additional validation studies with a nationally representative sample are needed to confirm the optimal algorithm to identify stillbirths or spontaneous abortion in administrative and claims databases.' Copyright © 2013 Elsevier Ltd. All rights reserved.

National Trends in Surgery for Rotator Cuff Disease in Korea

PubMed Central

2017-01-01

The objective of this study was to investigate the national trends in rotator cuff surgery in Korea and analyze hospital type-specific trends. We analyzed a nationwide database acquired from the Korean Health Insurance Review and Assessment Service (HIRA) from 2007 to 2015. International Classification of Diseases, 10th revision (ICD-10) codes, procedure codes, and arthroscopic device code were used to identify patients who underwent surgical treatment for rotator cuff disease. A total of 383,719 cases of rotator cuff surgeries were performed from 2007 to 2015. The mean annual percentage change in the age-adjusted rate of rotator cuff surgery per population of 100,000 persons rapidly increased from 2007 to 2012 (53.3%, P < 0.001), while that between 2012 to 2015 remained steady (2.3%, P = 0.34). The proportion of arthroscopic surgery among all rotator cuff surgeries steadily rose from 89.9% in 2007 to 96.8% in 2015 (P < 0.001). In terms of hospital types, the rate of rotator cuff surgery increased to the greatest degree in hospitals with 30–100 inpatient beds, and isolated acromioplasty procedure accounted for a larger proportion of the rotator cuff surgeries in small hospitals and clinics compared to large hospitals. Overall, our findings indicate that cases of rotator cuff surgery have increased rapidly recently in Korea, of which arthroscopic surgeries account for the greatest proportion. While rotator cuff surgery is a popular procedure that is commonly performed even in small hospitals, there was a difference in the component ratio of the procedure code in accordance with hospital type. PMID:28049250

An Ontology to Improve Transparency in Case Definition and Increase Case Finding of Infectious Intestinal Disease: Database Study in English General Practice

PubMed Central

2017-01-01

Background Infectious intestinal disease (IID) has considerable health impact; there are 2 billion cases worldwide resulting in 1 million deaths and 78.7 million disability-adjusted life years lost. Reported IID incidence rates vary and this is partly because terms such as “diarrheal disease” and “acute infectious gastroenteritis” are used interchangeably. Ontologies provide a method of transparently comparing case definitions and disease incidence rates. Objective This study sought to show how differences in case definition in part account for variation in incidence estimates for IID and how an ontological approach provides greater transparency to IID case finding. Methods We compared three IID case definitions: (1) Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) definition based on mapping to the Ninth International Classification of Disease (ICD-9), (2) newer ICD-10 definition, and (3) ontological case definition. We calculated incidence rates and examined the contribution of four supporting concepts related to IID: symptoms, investigations, process of care (eg, notification to public health authorities), and therapies. We created a formal ontology using ontology Web language. Results The ontological approach identified 5712 more cases of IID than the ICD-10 definition and 4482 more than the RCGP RSC definition from an initial cohort of 1,120,490. Weekly incidence using the ontological definition was 17.93/100,000 (95% CI 15.63-20.41), whereas for the ICD-10 definition the rate was 8.13/100,000 (95% CI 6.70-9.87), and for the RSC definition the rate was 10.24/100,000 (95% CI 8.55-12.12). Codes from the four supporting concepts were generally consistent across our three IID case definitions: 37.38% (3905/10,448) (95% CI 36.16-38.5) for the ontological definition, 38.33% (2287/5966) (95% CI 36.79-39.93) for the RSC definition, and 40.82% (1933/4736) (95% CI 39.03-42.66) for the ICD-10 definition. The proportion of laboratory results associated with a positive test result was 19.68% (546/2775). Conclusions The standard RCGP RSC definition of IID, and its mapping to ICD-10, underestimates disease incidence. The ontological approach identified a larger proportion of new IID cases; the ontology divides contributory elements and enables transparency and comparison of rates. Results illustrate how improved diagnostic coding of IID combined with an ontological approach to case definition would provide a clearer picture of IID in the community, better inform GPs and public health services about circulating disease, and empower them to respond. We need to improve the Pathology Bounded Code List (PBCL) currently used by laboratories to electronically report results. Given advances in stool microbiology testing with a move to nonculture, PCR-based methods, the way microbiology results are reported and coded via PBCL needs to be reviewed and modernized. PMID:28958989

Medical Resource Planning: The Need to Use a Standardized Diagnostic System

DTIC Science & Technology

1989-12-01

Migraine, all cases 300 Meningo-encephalitis, complicated 301 Meningo-encephalitis, uncomplicated 302 Mumps, all cases 303 Infectious mononucleosis , all...MUMPS 072XX INFECTIOUS MONONUCLEOSIS 075XX TRACHOMA 076XXC 077,%X 13910 ICD9 diagnostic codes ending in XX represent entire range of five digit codes...0.00026 INFECTIOUS MONONUCLEOSIS 456 0.4 0.00357 TRACHOMA 7 0.0 0.00005 STD-SYPHILIS 48 0.0 0.00038 STD-GONOCOCCAL INFECTIONS 363 0.3 0.00284 STD

Chronic myelogenous leukemia in eastern Pennsylvania: an assessment of registry reporting.

PubMed

Mertz, Kristen J; Buchanich, Jeanine M; Washington, Terri L; Irvin-Barnwell, Elizabeth A; Woytowitz, Donald V; Smith, Roy E

2015-01-01

Chronic myelogenous leukemia (CML) has been reportable to the Pennsylvania Cancer Registry (PCR) since the 1980s, but the completeness of reporting is unknown. This study assessed CML reporting in eastern Pennsylvania where a cluster of another myeloproliferative neoplasm was previously identified. Cases were identified from 2 sources: 1) PCR case reports for residents of Carbon, Luzerne, or Schuylkill County with International Classification of Diseases for Oncology, Third Edition (ICD-O-3) codes 9875 (CML, BCR-ABL+), 9863 (CML, NOS), and 9860 (myeloid leukemia) and date of diagnosis 2001-2009, and 2) review of billing records at hematology practices. Participants were interviewed and their medical records were reviewed by board-certified hematologists. PCR reports included 99 cases coded 9875 or 9863 and 9 cases coded 9860; 2 additional cases were identified by review of billing records. Of the 110 identified cases, 93 were mailed consent forms, 23 consented, and 12 medical records were reviewed. Hematologists confirmed 11 of 12 reviewed cases as CML cases; all 11 confirmed cases were BCR/ABL positive, but only 1 was coded as positive (code 9875). Very few unreported CML cases were identified, suggesting relatively complete reporting to the PCR. Cases reviewed were accurately diagnosed, but ICD-0-3 coding often did not reflect BCR-ABL-positive tests. Cancer registry abstracters should look for these test results and code accordingly.

[Prevalence of Cardiovascular Risk Factors at The Population Level: A Comparison of Ambulatory Physician-Coded Claims Data With Clinical Data From A Population-Based Study].

PubMed

Angelow, Aniela; Reber, Katrin Christiane; Schmidt, Carsten Oliver; Baumeister, Sebastian Edgar; Chenot, Jean-Francois

2018-06-04

The study assesses the validity of ICD-10 coded cardiovascular risk factors in claims data using gold-standard measurements from a population-based study for arterial hypertension, diabetes, dyslipidemia, smoking and obesity as a reference. Data of 1941 participants (46 % male, mean age 58±13 years) of the Study of Health in Pomerania (SHIP) were linked to electronic medical records from the regional association of statutory health insurance physicians from 2008 to 2012 used for billing purposes. Clinical data from SHIP was used as a gold standard to assess the agreement with claims data for ICD-10 codes I10.- (arterial hypertension), E10.- to E14.- (diabetes mellitus), E78.- (dyslipidemia), F17.- (smoking) and E65.- to E68.- (obesity). A higher agreement between ICD-coded and clinical diagnosis was found for diabetes (sensitivity (sens) 84%, specificity (spec) 95%, positive predictive value (ppv) 80%) and hypertension (sens 72%, spec 93%, ppv 97%) and a low level of agreement for smoking (sens 18%, spec 99%, ppv 89%), obesity (sens 22%, spec 99%, ppv 99%) and dyslipidemia (sens 40%, spec 60%, ppv 70%). Depending on the investigated cardiovascular risk factor, medication, documented additional cardiovascular co-morbidities, age, sex and clinical severity were associated with the ICD-coded cardiovascular risk factor. The quality of ICD-coding in ambulatory care is highly variable for different cardiovascular risk factors and outcomes. Diagnoses were generally undercoded, but those relevant for billing were coded more frequently. Our results can be used to quantify errors in population-based estimates of prevalence based on claims data for the investigated cardiovascular risk factors. © Georg Thieme Verlag KG Stuttgart · New York.

Real-World Assessment of Renal and Bone Safety among Patients with HIV Infection Exposed to Tenofovir Disoproxil Fumarate-Containing Single-Tablet Regimens.

PubMed

Nkhoma, Ella T; Rosenblatt, Lisa; Myers, Joel; Villasis-Keever, Angelina; Coumbis, John

2016-01-01

Tenofovir disoproxil fumarate (TDF)-containing antiretroviral regimens have been associated with an increased incidence of renal and bone adverse outcomes. Here, we estimated the real-world incidence of renal and bone adverse outcomes among patients with HIV infection receiving different TDF-containing single-tablet regimens (STRs). This cohort study used US health insurance data spanning the years 2008-2014. We identified HIV-infected patients aged ≥18 years (all HIV patients) and those with ≥6 months of continuous enrollment prior to initiating efavirenz/emtricitabine/TDF (EFV/FTC/TDF), rilpivirine/FTC/TDF (RPV/FTC/TDF) or elvitegravir/cobicistat/FTC/TDF (EVG/COBI/FTC/TDF). Renal adverse outcomes were identified using renal International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes. Bone adverse outcomes were identified using ICD-9-CM diagnosis codes for fracture. Incidence rates (IRs) and associated 95% confidence intervals (CIs) were estimated assuming a Poisson distribution, and outcomes between STRs were compared using IR ratios (IRRs) and IR differences (IRDs). We identified 9876 and 10,383 eligible patients for the renal and fracture analyses, respectively. Observed IRs for renal adverse outcomes were 9.7, 10.5, 13.6, and 18.0 per 1000 person-years among those receiving EFV/FTC/TDF, RPV/FTC/TDF, or EVG/COBI/FTC/TDF, or all HIV patients, respectively. Corresponding values for IRs of fracture were 3.4, 3.6, 7.2, and 4.4 per 1000 person-years, respectively. Renal adverse outcomes with EFV/FTC/TDF were significantly less frequent than with EVG/COBI/FTC/TDF (IRD -3.96; 95% CI: -7.31, -1.06). No IRR differences were identified for the renal analysis. Fractures with EFV/FTC/TDF were significantly less frequent than with EVG/COBI/FTC/TDF (IRR 0.47; 95% CI: 0.27, 0.81 and IRD -3.85; 95% CI: -5.02, -2.78). In this large real-world database, observed IRs for renal adverse outcomes with TDF-containing STRs were lower or similar to those for all HIV patients, with the lowest IRs observed among patients receiving EFV/FTC/TDF. Compared with all HIV patients, the observed IR for fracture was higher with EVG/COBI/FTC/TDF, comparable with RPV/FTC/TDF, and lower with EFV/FTC/TDF.

Trends, Costs, and Complications of Anterior Cervical Discectomy and Fusion With and Without Bone Morphogenetic Protein in the United States Medicare Population.

PubMed

Lord, Elizabeth L; Cohen, Jeremiah R; Buser, Zorica; Meisel, Hans-Joerg; Brodke, Darrel S; Yoon, S Tim; Youssef, Jim A; Wang, Jeffrey C; Park, Jong-Beom

2017-10-01

Retrospective database review. After the Food and Drug Administration approved bone morphogenetic protein-2 (BMP) in 2002, BMP was used off-label in the cervical spine to increase bone growth and bony fusion. Since then, concerns have been raised regarding complication rates and safety. This study was conducted to examine the use of BMP in anterior cervical discectomy and fusion (ACDF) in the Medicare population and to determine risk of complications and associated costs within 90 days of surgery. Patients who underwent ACDF were identified using Current Procedural Terminology (CPT) and International Classification of Diseases, Ninth Revision Procedure codes (ICD9-P). Complications were identified using ICD9 diagnostic codes. Charges were calculated as amount billed, and reimbursements were calculated as amounts paid by Medicare. Data for these analyses came from a nationwide claims database. A total of 215 047 patients were identified who had ACDF from 2005 to 2011. For the majority of the procedures (89.0%), BMP was not used. BMP use rose from 11.84% in 2005 to a peak of 16.73% in 2007 before decreasing to 12.01% in 2011. BMP was used 16% more in women than men. BMP use was the highest in the West (13.6%) followed by Midwest (11.8%), South (10.6%), and Northeast (7.5%). There was a higher overall complication rate in the BMP group (2.1%) compared with the non-BMP group (1.9%) (odds ratio [OR] = 1.11, 95% CI = 1.01-1.22). The BMP group also had a higher rate of wound complications (0.98% vs 0.76%, OR = 1.29, 95% CI = 1.12-1.48). In this study population, there was no difference in dysphagia/hoarseness, neurologic, medical, or other complications. During the 90-day perioperative period, BMP surgeries were charged at 17.6% higher than non-BMP surgeries. The use of BMP in ACDF in the Medicare population has decreased since a peak in 2007. The rate of wound and overall complications for BMP use with ACDF was higher than without. Our results regarding dysphagia/hoarseness did not show a statistically meaningful difference, which is in contrast with many other studies. Charges associated with BMP use were higher during the 90-day perioperative period.

Trends, Costs, and Complications of Anterior Cervical Discectomy and Fusion With and Without Bone Morphogenetic Protein in the United States Medicare Population

PubMed Central

Cohen, Jeremiah R.; Buser, Zorica; Meisel, Hans-Joerg; Brodke, Darrel S.; Yoon, S. Tim; Youssef, Jim A.; Wang, Jeffrey C.; Park, Jong-Beom

2017-01-01

Study Design: Retrospective database review. Objectives: After the Food and Drug Administration approved bone morphogenetic protein–2 (BMP) in 2002, BMP was used off-label in the cervical spine to increase bone growth and bony fusion. Since then, concerns have been raised regarding complication rates and safety. This study was conducted to examine the use of BMP in anterior cervical discectomy and fusion (ACDF) in the Medicare population and to determine risk of complications and associated costs within 90 days of surgery. Methods: Patients who underwent ACDF were identified using Current Procedural Terminology (CPT) and International Classification of Diseases, Ninth Revision Procedure codes (ICD9-P). Complications were identified using ICD9 diagnostic codes. Charges were calculated as amount billed, and reimbursements were calculated as amounts paid by Medicare. Data for these analyses came from a nationwide claims database. Results: A total of 215 047 patients were identified who had ACDF from 2005 to 2011. For the majority of the procedures (89.0%), BMP was not used. BMP use rose from 11.84% in 2005 to a peak of 16.73% in 2007 before decreasing to 12.01% in 2011. BMP was used 16% more in women than men. BMP use was the highest in the West (13.6%) followed by Midwest (11.8%), South (10.6%), and Northeast (7.5%). There was a higher overall complication rate in the BMP group (2.1%) compared with the non-BMP group (1.9%) (odds ratio [OR] = 1.11, 95% CI = 1.01-1.22). The BMP group also had a higher rate of wound complications (0.98% vs 0.76%, OR = 1.29, 95% CI = 1.12-1.48). In this study population, there was no difference in dysphagia/hoarseness, neurologic, medical, or other complications. During the 90-day perioperative period, BMP surgeries were charged at 17.6% higher than non-BMP surgeries. Conclusions: The use of BMP in ACDF in the Medicare population has decreased since a peak in 2007. The rate of wound and overall complications for BMP use with ACDF was higher than without. Our results regarding dysphagia/hoarseness did not show a statistically meaningful difference, which is in contrast with many other studies. Charges associated with BMP use were higher during the 90-day perioperative period. PMID:28989837

Cost analysis of awake versus asleep deep brain stimulation: a single academic health center experience.

PubMed

Jacob, R Lorie; Geddes, Jonah; McCartney, Shirley; Burchiel, Kim J

2016-05-01

OBJECT The objective of this study was to compare the cost of deep brain stimulation (DBS) performed awake versus asleep at a single US academic health center and to compare costs across the University HealthSystem Consortium (UHC) Clinical Database. METHODS Inpatient and outpatient demographic and hospital financial data for patients receiving a neurostimulator lead implant (from the first quarter of 2009 to the second quarter of 2014) were collected and analyzed. Inpatient charges included those associated with International Classification of Diseases, Ninth Revision (ICD-9) procedure code 0293 (implantation or replacement of intracranial neurostimulator lead). Outpatient charges included all preoperative charges ≤ 30 days prior to implant and all postoperative charges ≤ 30 days after implant. The cost of care based on reported charges and a cost-to-charge ratio was estimated. The UHC database was queried (January 2011 to March 2014) with the same ICD-9 code. Procedure cost data across like hospitals (27 UHC hospitals) conducting similar DBS procedures were compared. RESULTS Two hundred eleven DBS procedures (53 awake and 158 asleep) were performed at a single US academic health center during the study period. The average patient age ( ± SD) was 65 ± 9 years old and 39% of patients were female. The most common primary diagnosis was Parkinson's disease (61.1%) followed by essential and other forms of tremor (36%). Overall average DBS procedure cost was $39,152 ± $5340. Asleep DBS cost $38,850 ± $4830, which was not significantly different than the awake DBS cost of $40,052 ± $6604. The standard deviation for asleep DBS was significantly lower (p ≤ 0.05). In 2013, the median cost for a neurostimulator implant lead was $34,052 at UHC-affiliated hospitals that performed at least 5 procedures a year. At Oregon Health & Science University, the median cost was $17,150 and the observed single academic health center cost for a neurostimulator lead implant was less than the expected cost (ratio 0.97). CONCLUSIONS In this single academic medical center cost analysis, DBS performed asleep was associated with a lower cost variation relative to the awake procedure. Furthermore, costs compared favorably to UHC-affiliated hospitals. While asleep DBS is not yet standard practice, this center exclusively performs asleep DBS at a lower cost than comparable institutions.

Population-based drug-related anaphylaxis in children and adolescents captured by South Carolina Emergency Room Hospital Discharge Database (SCERHDD) (2000-2002).

PubMed

West, Suzanne L; D'Aloisio, Aimee A; Ringel-Kulka, Tamar; Waller, Anna E; Clayton Bordley, W

2007-12-01

Anaphylaxis is a life-threatening condition; drug-related anaphylaxis represents approximately 10% of all cases. We assessed the utility of a statewide emergency department (ED) database for identifying drug-related anaphylaxis in children by developing and validating an algorithm composed of ICD-9-CM codes. There were 1 314,760 visits to South Carolina (SC) emergency departments (EDs) for patients <19 years in 2000-2002. We used ICD-9-CM disease or external cause of injury codes (E-codes) that suggested drug-related anaphylaxis or a severe drug-related allergic reaction. We found 50 cases classifiable as probable or possible drug-related anaphylaxis and 13 as drug-related allergic reactions. We used clinical evaluation by two pediatricians as the 'alloyed gold standard'1 for estimating sensitivity, specificity, and positive predictive value (PPV) of our algorithm. ED-treated drug-related anaphylaxis in the SC pediatric population was 1.56/100,000 person-years based on the algorithm and 0.50/100,000 person-years based on clinical evaluation. Assuming the disease codes we used identified all potential anaphylaxis cases in the database, the sensitivity was 1.00 (95%CI: 0.79, 1.00), specificity was 0.28 (95%CI: 0.16, 0.43), and the PPV was 0.32 (0.20, 0.47) for the algorithm. Sensitivity analyses improved the measurement properties of the algorithm. E-codes were invaluable for developing an anaphylaxis algorithm although the frequently used code of E947.9 was often incorrectly applied. We believe that our algorithm may have over-ascertained drug-related anaphylaxis patients seen in an ED, but the clinical evaluation may have under-represented this diagnosis due to limited information on the offending agent in the abstracted ED records. Post-marketing drug surveillance using ED records may be viable if clinicians were to document drug-related anaphylaxis in the charts so that billing codes could be assigned properly. Copyright 2007 John Wiley & Sons, Ltd.

Psychotic disorders in DSM-5 and ICD-11.

PubMed

Biedermann, Falko; Fleischhacker, W Wolfgang

2016-08-01

The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) was published by the American Psychiatric Association (APA) in 2013, and the Work Group on the Classification of Psychotic disorders (WGPD), installed by the World Health Organization (WHO), is expected to publish the new chapter about schizophrenia and other primary psychotic disorders in 2017. We reviewed the available literature to summarize the major changes, innovations, and developments of both manuals. If available and possible, we outline the theoretical background behind these changes. Due to the fact that the development of ICD-11 has not yet been completed, the details about ICD-11 are still proposals under ongoing revision. In this ongoing process, they may be revised and therefore have to be seen as proposals. DSM-5 has eliminated schizophrenia subtypes and replaced them with a dimensional approach based on symptom assessments. ICD-11 will most likely go in a similar direction, as both manuals are planned to be more harmonized, although some differences will remain in details and the conceptual orientation. Next to these modifications, ICD-11 will provide a transsectional diagnostic criterion for schizoaffective disorders and a reorganization of acute and transient psychotic and delusional disorders. In this manuscript, we will compare the 2 classification systems.

Hospital competitive intensity and perioperative outcomes following lumbar spinal fusion.

PubMed

Durand, Wesley M; Johnson, Joseph R; Li, Neill Y; Yang, JaeWon; Eltorai, Adam E M; DePasse, J Mason; Daniels, Alan H

2018-04-01

Interhospital competition has been shown to influence the adoption of surgical techniques and approaches, clinical patient outcomes, and health care resource use for select surgical procedures. However, little is known regarding these dynamics as they relate to spine surgery. This investigation sought to examine the relationship between interhospital competitive intensity and perioperative outcomes following lumbar spinal fusion. This study used the Nationwide Inpatient Sample dataset, years 2003, 2006, and 2009. Patients were included based on the presence of the International Classification of Disease, Ninth Edition, Clinical Modification (ICD-9-CM) codes corresponding to lumbar spinal fusion, as well as on the presence of data on the Herfindahl-Hirschman Index (HHI). The outcome measures are perioperative complications, defined using an ICD-9-CM coding algorithm. The HHI, a validated measure of competition within a market, was used to assess hospital market competitiveness. The HHI was calculated based on the hospital cachement area. Multiple regression was performed to adjust for confounding variables including patient age, gender, primary payer, severity of illness score, primary versus revision fusion, anterior versus posterior approach, national region, hospital bed size, location or teaching status, ownership, and year. Perioperative clinical outcomes were assessed based on ICD-9-CM codes with modifications. In total, 417,520 weighted patients (87,999 unweighted records) were analyzed. The mean cachement area HHI was 0.31 (range 0.099-0.724). The average patient age was 55.4 years (standard error=0.194), and the majority of patients were female (55.8%, n=232,727). The majority of procedures were primary spinal fusions (92.7%, n=386,998) and fusions with a posterior-only technique (81.5%, n=340,271). Most procedures occurred in the South (42.5%, n=177,509) or the Midwest (27.0%, n=112,758) regions. In the multiple regression analysis, increased hospital competitive intensity was associated with an increased total complication rate (odds ratio [OR] 1.52, p<.0001), device-related complications (OR 1.46, p=.0294), genitourinary complications (OR 2.15, p=.0091), infection (OR 3.48, p<.0001), neurologic complications (OR 1.69, p=.0422), total charges (+29%, p=.0034), and inpatient hospital length of stay (LOS) (+16%, p=.0012). The likelihood of complications at state-owned hospitals (OR 2.81, p=.0001) was more highly associated with HHI than at private, non-profit hospitals (OR 1.39, p=.0050). The occurrence of complications at urban teaching hospitals (OR 2.14, p<.0001) was generally more associated with HHI than at urban non-teaching hospitals (OR 1.19, p=.2457). Increased interhospital competitive intensity is associated with increased odds of complications, increased total charges, and prolonged LOS following lumbar spine fusion. These differences are generally highest among state-owned and urban teaching hospitals. Differences in outcome related to hospital competition may be due to suboptimal resource allocation. Identifying differences in perioperative outcomes associated with hospital market competition is important in the contemporary environment of health care reimbursement reform and hospital consolidation. Perioperative outcome disparities between highly competitive and minimally competitive areas should be monitored and further studied. Copyright © 2017 Elsevier Inc. All rights reserved.

Associations between chronic diseases and choking deaths among older adults in the USA: a cross-sectional study using multiple cause mortality data from 2009 to 2013.

PubMed

Wu, Wen-Shiann; Sung, Kuan-Chin; Cheng, Tain-Junn; Lu, Tsung-Hsueh

2015-11-12

To examine whether the strengths of the associations between chronic diseases and overall choking differ from those of the associations between chronic diseases and only food-related choking. This cross-sectional study used nationwide multiple cause mortality files. The USA. Older adults aged 65 years or more died between 2009 and 2013. Mortality ratio (observed/expected) of number of deaths from both causes (chronic diseases and choking) and 95% CIs. We identified 76543 deaths for which the death certificates report choking (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes W78, W79 and W80 combined) as a cause of death and only 4974 (6.5%) deaths were classified as food-related choking (ICD-10 code W79). Schizophrenia, Parkinson's disease, Alzheimer's disease and oral cancer are four chronic diseases that had significant associations with both overall and food-related choking. Stroke, larynx cancer and mood (affective) disorders had significant associations with overall choking, but not with food-related choking. We suggest using overall choking instead of only food-related choking to better describe the associations between chronic diseases and choking. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Epidemiological profile of hospitalised injuries among electric bicycle riders admitted to a rural hospital in Suzhou: a cross-sectional study.

PubMed

Du, Wei; Yang, Jie; Powis, Brent; Zheng, Xiaoying; Ozanne-Smith, Joan; Bilston, Lynne; He, JingLin; Ma, Ting; Wang, Xiaofei; Wu, Ming

2014-04-01

Police reports indicate an increasing burden of electric bike (E-bike) casualties in China; however, hospitalised injury data have not been reported. The aim of the present work was to describe hospitalised injury patterns for E-bikers involved in road crashes and explore injury risk disparities among them. For the period October 2010 to April 2011, this cross-sectional study retrospectively collected information for hospitalised E-bikers involved in road crashes from hospital records, in Suzhou China, using the International Classification of Diseases, 10th revision (ICD-10) injury diagnosis codes. Injury nature and body region were further categorised using ICD-10 codes. Multivariate logistic regression was used to assess the risk of specific injury types. We found that hospitalised E-biker injuries (n=323) accounted for 57.2% of road traffic hospitalisations over the 6-month study period. The average age, length of stay and hospitalisation cost were 43.8 years, 10.0 days and ¥8229 (US$1286), respectively. Fractures and head injuries were common. The odds of traumatic brain injuries were significantly elevated for night-time E-bike crashes and incidents other than colliding with motor vehicles. These findings confirm E-bike injuries as an important population health problem and identify elevated injury odds in different E-biker groups. Future injury prevention initiatives should include encouraging helmet use among E-bikers.

Early-onset Infectious Complications among Penetrating and Severe Closed Traumatic Brain Injury in Active Duty Deployed during OIF and OEF, 2008-2013

DTIC Science & Technology

2015-02-01

seizures, hydrocephalus, cerebral spinal fluid (CSF) leaks, infections inside the skull, vascular injuries, and cranial nerve injuries. 9-11 The...bacterial infection ). Neurosurgical procedures were based on ICD-9-CM procedure codes used to describe interventions related to severe TBI. 21 The...study of critical care trauma patients, traumatic shock was the only admission characteristic associated with infection , and infection developed

42 CFR 81.5 - Use of personal and medical information.

Code of Federal Regulations, 2010 CFR

2010-10-01

... claimants under DOL regulations 20 CFR part 30: (a) Year of birth (b) Cancer diagnosis (by ICD-9 code) for primary and secondary cancers (c) Date of cancer diagnosis (d) Gender (e) Race/ethnicity (if the claim is for skin cancer or a secondary cancer for which skin cancer is a likely primary cancer) (f) Smoking...

Otitis Media and Related Complications among Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Adams, Daniel J.; Susi, Apryl; Erdie-Lalena, Christine R.; Gorman, Gregory; Hisle-Gorman, Elizabeth; Rajnik, Michael; Elrod, Marilisa; Nylund, Cade M.

2016-01-01

Acute otitis media (AOM) symptoms can be masked by communication deficits, common to children with autism spectrum disorders (ASD). We sought to evaluate the association between ASD and otitis media. Using ICD-9-CM diagnostic codes, we performed a retrospective case-cohort study comparing AOM, and otitis-related diagnoses among children with and…

42 CFR 81.5 - Use of personal and medical information.

Code of Federal Regulations, 2011 CFR

2011-10-01

... claimants under DOL regulations 20 CFR part 30: (a) Year of birth (b) Cancer diagnosis (by ICD-9 code) for primary and secondary cancers (c) Date of cancer diagnosis (d) Gender (e) Race/ethnicity (if the claim is for skin cancer or a secondary cancer for which skin cancer is a likely primary cancer) (f) Smoking...

20 CFR 30.702 - How should an employee prepare and submit requests for reimbursement for medical expenses...

Code of Federal Regulations, 2010 CFR

2010-04-01

... expenses? 30.702 Section 30.702 Employees' Benefits OFFICE OF WORKERS' COMPENSATION PROGRAMS, DEPARTMENT OF... expenses? (a) If an employee has paid bills for medical, surgical or other services, supplies or appliances... of such service shall state each diagnosed condition and furnish the applicable ICD-9-CM code and...

42 CFR 81.5 - Use of personal and medical information.

Code of Federal Regulations, 2012 CFR

2012-10-01

... claimants under DOL regulations 20 CFR part 30: (a) Year of birth (b) Cancer diagnosis (by ICD-9 code) for primary and secondary cancers (c) Date of cancer diagnosis (d) Gender (e) Race/ethnicity (if the claim is for skin cancer or a secondary cancer for which skin cancer is a likely primary cancer) (f) Smoking...

42 CFR 81.5 - Use of personal and medical information.

Code of Federal Regulations, 2014 CFR

2014-10-01

... claimants under DOL regulations 20 CFR part 30: (a) Year of birth (b) Cancer diagnosis (by ICD-9 code) for primary and secondary cancers (c) Date of cancer diagnosis (d) Gender (e) Race/ethnicity (if the claim is for skin cancer or a secondary cancer for which skin cancer is a likely primary cancer) (f) Smoking...

42 CFR 81.5 - Use of personal and medical information.

Code of Federal Regulations, 2013 CFR

2013-10-01

... claimants under DOL regulations 20 CFR part 30: (a) Year of birth (b) Cancer diagnosis (by ICD-9 code) for primary and secondary cancers (c) Date of cancer diagnosis (d) Gender (e) Race/ethnicity (if the claim is for skin cancer or a secondary cancer for which skin cancer is a likely primary cancer) (f) Smoking...

Use of diagnosis codes for detection of clinically significant opioid poisoning in the emergency department: A retrospective analysis of a surveillance case definition.

PubMed

Reardon, Joseph M; Harmon, Katherine J; Schult, Genevieve C; Staton, Catherine A; Waller, Anna E

2016-02-08

Although fatal opioid poisonings tripled from 1999 to 2008, data describing nonfatal poisonings are rare. Public health authorities are in need of tools to track opioid poisonings in near real time. We determined the utility of ICD-9-CM diagnosis codes for identifying clinically significant opioid poisonings in a state-wide emergency department (ED) surveillance system. We sampled visits from four hospitals from July 2009 to June 2012 with diagnosis codes of 965.00, 965.01, 965.02 and 965.09 (poisoning by opiates and related narcotics) and/or an external cause of injury code of E850.0-E850.2 (accidental poisoning by opiates and related narcotics), and developed a novel case definition to determine in which cases opioid poisoning prompted the ED visit. We calculated the percentage of visits coded for opioid poisoning that were clinically significant and compared it to the percentage of visits coded for poisoning by non-opioid agents in which there was actually poisoning by an opioid agent. We created a multivariate regression model to determine if other collected triage data can improve the positive predictive value of diagnosis codes alone for detecting clinically significant opioid poisoning. 70.1 % of visits (Standard Error 2.4 %) coded for opioid poisoning were primarily prompted by opioid poisoning. The remainder of visits represented opioid exposure in the setting of other primary diseases. Among non-opioid poisoning codes reviewed, up to 36 % were reclassified as an opioid poisoning. In multivariate analysis, only naloxone use improved the positive predictive value of ICD-9-CM codes for identifying clinically significant opioid poisoning, but was associated with a high false negative rate. This surveillance mechanism identifies many clinically significant opioid overdoses with a high positive predictive value. With further validation, it may help target control measures such as prescriber education and pharmacy monitoring.

Case-control study of medical comorbidities in women with interstitial cystitis.

PubMed

Clemens, J Quentin; Meenan, Richard T; O'Keeffe Rosetti, Maureen C; Kimes, Teresa A; Calhoun, Elizabeth A

2008-06-01

We used physician assigned diagnoses in an electronic medical record to assess comorbidities associated with interstitial cystitis. A computer search of the administrative database at Kaiser Permanente Northwest, Portland, Oregon was performed for May 1, 1998 to April 30, 2003. All women with a medical record diagnosis of interstitial cystitis (ICD-9 code 595.1) were identified. These cases were then matched with 3 controls each based on age and duration in the health plan. The medical diagnoses (using ICD-9 codes restricted to 3 digits) assigned to these 2 groups were compared using the OR. A total of 239 cases and 717 matched controls were analyzed. There were 23 diagnoses that were significantly more common in cases than in controls (p < or = 0.005). Seven of these 23 diagnoses were other urological or gynecological codes used to describe pelvic symptoms. Additional specific conditions associated with interstitial cystitis were gastritis (OR 12.2), child abuse (OR 9.3), fibromyalgia (OR 3.0), anxiety disorder (OR 2.8), headache (OR 2.5), esophageal reflux (OR 2.2), unspecified back disorder (OR 2.2) and depression (OR 2.0). A diagnosis of interstitial cystitis was associated with multiple other unexplained physical symptoms and certain psychiatric conditions. Studies to explore the possible biological explanations for these associations are needed. Interstitial cystitis was also associated with a history of child abuse, although 96% of patients with IC did not have this diagnosis.

A new diagnosis grouping system for child emergency department visits.

PubMed

Alessandrini, Evaline A; Alpern, Elizabeth R; Chamberlain, James M; Shea, Judy A; Gorelick, Marc H

2010-02-01

A clinically sensible system of grouping diseases is needed for describing pediatric emergency diagnoses for research and reporting. This project aimed to create an International Classification of Diseases (ICD)-based diagnosis grouping system (DGS) for child emergency department (ED) visits that is 1) clinically sensible with regard to how diagnoses are grouped and 2) comprehensive in accounting for nearly all diagnoses (>95%). The second objective was to assess the construct validity of the DGS by examining variation in the frequency of targeted groups of diagnoses within the concepts of season, age, sex, and hospital type. A panel of general and pediatric emergency physicians used the nominal group technique and Delphi surveys to create the DGS. The primary data source used to develop the DGS was the Pediatric Emergency Care Applied Research Network (PECARN) Core Data Project (PCDP). A total of 3,041 ICD-9 codes, accounting for 98.9% of all diagnoses in the PCDP, served as the basis for creation of the DGS. The expert panel developed a DGS framework representing a clinical approach to the diagnosis and treatment of pediatric emergency patients. The resulting DGS has 21 major groups and 77 subgroups and accounts for 96.5% to 99% of diagnoses when applied to three external data sets. Variations in the frequency of targeted groups of diagnoses related to seasonality, age, sex, and site of care confirm construct validity. The DGS offers a clinically sensible method for describing pediatric ED visits by grouping ICD-9 codes in a consensus-derived classification scheme. This system may be used for research, reporting, needs assessment, and resource planning. (c) 2010 by the Society for Academic Emergency Medicine.

Professional Practice and Innovation: Level of Agreement between Coding Sources of Percentage Total Body Surface Area Burnt (%TBSA).

PubMed

Watterson, Dina; Cleland, Heather; Picton, Natalie; Simpson, Pam M; Gabbe, Belinda J

2011-03-01

The percentage of total body surface area burnt (%TBSA) is a critical measure of burn injury severity and a key predictor of burn injury outcome. This study evaluated the level of agreement between four sources of %TBSA using 120 cases identified through the Victorian State Trauma Registry. Expert clinician, ICD-10-AM, Abbreviated Injury Scale, and burns registry coding were compared using measures of agreement. There was near-perfect agreement (weighted Kappa statistic 0.81-1) between all sources of data, suggesting that ICD-10-AM is a valid source of %TBSA and use of ICD-10-AM codes could reduce the resource used by trauma and burns registries capturing this information.

Coding pulmonary sepsis and mortality statistics in Rio de Janeiro, RJ.

PubMed

Cardoso, Bruno Baptista; Kale, Pauline Lorena

2016-01-01

This study aimed to describe "pulmonary sepsis" reported as a cause of death, measure its association to pneumonia, and the significance of the coding rules in mortality statistics, including the diagnosis of pneumonia on death certificates (DC) with the mention of pulmonary sepsis in Rio de Janeiro, Brazil, in 2011. DC with mention of pulmonary sepsis was identified, regardless of the underlying cause of death. Medical records related to the certificates with reference to "pulmonary sepsis" were reviewed and physicians were interviewed to measure the association between pulmonary sepsis and pneumonia. A simulation was performed in the mortality data by inserting the International Classification of Diseases (ICD-10) code for pneumonia in the certificates with pulmonary sepsis. "Pulmonary sepsis" constituted 30.9% of reported sepsis and pneumonia was not reported in 51.3% of these DC. Pneumonia was registered in 82.8% of the sample of the medical records. Among physicians interviewed, 93.3% declared pneumonia as the most common cause of "pulmonary sepsis." The simulation of the coding process resulted in a different underlying cause of death for 7.8% of the deaths with sepsis reported and 2.4% of all deaths, regardless the original cause. The conclusion is that "pulmonary sepsis" is frequently associated to pneumonia and that the addition of the ICD-10 code for pneumonia in DC could affect the mortality statistics, highlighting the need to improve mortality coding rules.

A Case Series of the Probability Density and Cumulative Distribution of Laryngeal Disease in a Tertiary Care Voice Center.

PubMed

de la Fuente, Jaime; Garrett, C Gaelyn; Ossoff, Robert; Vinson, Kim; Francis, David O; Gelbard, Alexander

2017-11-01

To examine the distribution of clinic and operative pathology in a tertiary care laryngology practice. Probability density and cumulative distribution analyses (Pareto analysis) was used to rank order laryngeal conditions seen in an outpatient tertiary care laryngology practice and those requiring surgical intervention during a 3-year period. Among 3783 new clinic consultations and 1380 operative procedures, voice disorders were the most common primary diagnostic category seen in clinic (n = 3223), followed by airway (n = 374) and swallowing (n = 186) disorders. Within the voice strata, the most common primary ICD-9 code used was dysphonia (41%), followed by unilateral vocal fold paralysis (UVFP) (9%) and cough (7%). Among new voice patients, 45% were found to have a structural abnormality. The most common surgical indications were laryngotracheal stenosis (37%), followed by recurrent respiratory papillomatosis (18%) and UVFP (17%). Nearly 55% of patients presenting to a tertiary referral laryngology practice did not have an identifiable structural abnormality in the larynx on direct or indirect examination. The distribution of ICD-9 codes requiring surgical intervention was disparate from that seen in clinic. Application of the Pareto principle may improve resource allocation in laryngology, but these initial results require confirmation across multiple institutions.

Prevalence of Chronic Hypoparathyroidism in a Mediterranean Region as Estimated by the Analysis of Anonymous Healthcare Database.

PubMed

Cianferotti, Luisella; Parri, Simone; Gronchi, Giorgio; Marcucci, Gemma; Cipriani, Cristiana; Pepe, Jessica; Raglianti, Marco; Minisola, Salvatore; Brandi, Maria Luisa

2018-03-08

Epidemiological data on prevalence and incidence of chronic hypoparathyroidism are still scarce. This study aimed to establish prevalence of chronic hypoparathyroidism and incidence of surgical hypoparathyroidism using the analysis of electronic anonymous public health care database. Data referred to a 5-year period (2009-2013, Region of Tuscany, Italy, as a sample representative of the whole Mediterranean/European population, estimated mean population: 3,750,000 inhabitants) were retrieved by the analysis of pharmaceutical distribution dataset, containing data related to drugs reimbursed by public health system, hospital discharge and procedures codes, and ICD9 exemption codes for chronic diseases. The application of a specific algorithm was applied to indirectly identify people with chronic hypoparathyroidism as assuming chronic therapy with active vitamin D metabolites (AVDM). The number of people taking AVDM for a period equal to or longer than 6 months till the end of the study period, with ICD9 exemption code for hypoparathyroidism, and with a disease-related discharge code were identified. Within this restricted group, patients with chronic kidney disease and osteoporosis were excluded. The indirect estimate of chronic hypoparathyroidism in a European Mediterranean subpopulation by means of the analysis of chronic therapy with AVDM was 27/100,000 inhabitants (female:male ratio = 2.2:1), with a mean age of 63.5 ± 16.7 years. The risk of developing hypoparathyroidism after neck surgery was 1.5%. While the epidemiological approaches based on disease code and hospital discharge code greatly underestimates the prevalence of hypoparathyroidism, the indirect estimate of this disease through the analysis of prescriptions of AVDM in a European region is in line with the results of studies performed in other regions of the world.

International variation in the definition of ‘main condition’ in ICD-coded health data

PubMed Central

Quan, H.; Moskal, L.; Forster, A.J.; Brien, S.; Walker, R.; Romano, P.S.; Sundararajan, V.; Burnand, B.; Henriksson, G.; Steinum, O.; Droesler, S.; Pincus, H.A.; Ghali, W.A.

2014-01-01

Hospital-based medical records are abstracted to create International Classification of Disease (ICD) coded discharge health data in many countries. The ‘main condition’ is not defined in a consistent manner internationally. Some countries employ a ‘reason for admission’ rule as the basis for the main condition, while other countries employ a ‘resource use’ rule. A few countries have recently transitioned from one of these approaches to the other. The definition of ‘main condition’ in such ICD data matters when it is used to define a disease cohort to assign diagnosis-related groups and to perform risk adjustment. We propose a method of harmonizing the international definition to enable researchers and international organizations using ICD-coded health data to aggregate or compare hospital care and outcomes across countries in a consistent manner. Inter-observer reliability of alternative harmonization approaches should be evaluated before finalizing the definition and adopting it worldwide. PMID:24990594

Cardiovascular and psychiatric morbidity in obstructive sleep apnea (OSA) with insomnia (sleep apnea plus) versus obstructive sleep apnea without insomnia: a case-control study from a Nationally Representative US sample.

PubMed

Gupta, Madhulika A; Knapp, Katie

2014-01-01

To evaluate cardiovascular and psychiatric morbidity in patient visits with obstructive sleep apnea (OSA) with insomnia (OSA+Insomnia) versus OSA without insomnia (OSA-Insomnia) in a nationally representative US sample. A retrospective case-control study of epidemiologic databases (National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey) representing an estimated ± standard error (SE) 62,253,910 ± 5,274,747 (unweighted count=7234) patient visits with diagnosis of OSA from 1995-2010, was conducted. An estimated 3,994,104 ± 791,386 (unweighted count=658) were classified as OSA+Insomnia and an estimated 58,259,806 ± 4,849,800 (unweighted count=6576) as OSA-Insomnia. Logistic regression analysis was carried out using OSA+Insomnia versus OSA-Insomnia as the dependent variable, and age (>50 years versus ≤ 50 years), sex, race ('White' versus 'non-White'), essential hypertension, heart failure, ischemic heart disease, cardiac dysrhythmia, cerebrovascular disease, diabetes, obesity, hyperlipidemia, depressive, anxiety, and adjustment disorders (includes PTSD), hypersomnia and all medications used as independent variables. All comorbidities were physician diagnosed using the ICD9-CM. Among patient visits with OSA, an estimated 6.4%± 0.9% also had insomnia. Logistic regression analysis revealed that the OSA+Insomnia group was significantly more likely to have essential hypertension (all ICD9-CM codes 401) (OR=1.83, 95% CI 1.27-2.65) and provisionally more likely to have cerebrovascular disease (ICD9-CM codes 430-438) (OR=6.58, 95% CI 1.66-26.08). The significant OR for cerebrovascular disease was considered provisional because the unweighted count was <30. In a nationally representative sample, OSA+Insomnia was associated significantly more frequently with essential hypertension than OSA-Insomnia, a finding that has not been previously reported. In contrast to studies that have considered patient self-reports of psychological morbidity, the absence of a significant association with psychiatric disorders in our study may be indicative of the fact that we considered only physician-rated psychiatric syndromes meeting ICD9-CM criteria. Our findings among the OSA+Insomnia group are therefore most likely conservative.

Development of DSM-V and ICD-11: tendencies and potential of new classifications in psychiatry at the current state of knowledge.

PubMed

Möller, Hans-Jürgen

2009-10-01

A reason for the necessity to revise ICD-10 and DSM-IV is the increase of knowledge in the past 20 years, especially neurobiological knowledge. But is this increase of knowledge, for example in the field of neurogenetics, of such magnitude that a revision of the psychiatric classification is necessary and promises to be fruitful? The current plans for DSM-V or ICD-11, respectively, focus on different improvements. In this context also the introduction of a purely syndromatic/dimensional approach without including etiopathogenetic hypotheses, is discussed. A switch to such a dimensional approach, which was discussed among others in the DSM-V task force Deconstructing Psychosis, would be the most radical development. It could avoid many theoretical pre-assumptions about causal hypotheses, which are still associated with ICD-10 and DSM-IV. This would indeed increase the validity of psychiatric classification, but it would also reduce the information as compared to traditional diagnostic categories with all the current implications concerning etiopathogenesis, therapy and prognosis. Such a dimensional approach would also mean that the syndromes would have to be assessed in a standardized way for each person seeking help from the psychiatric service system or for each person undergoing psychiatric research. This would have to be a multi-dimensional assessment covering all syndromes existing within different psychiatric disorders. Based on the different aspects that must be considered in this context, a careful revision seems more advisable than a radical change of classification.

Multi-Center, Community-Based Cardiac Implantable Electronic Devices Registry: Population, Device Utilization, and Outcomes.

PubMed

Gupta, Nigel; Kiley, Mary Lou; Anthony, Faith; Young, Charlie; Brar, Somjot; Kwaku, Kevin

2016-03-09

The purpose of this study is to describe key elements, clinical outcomes, and potential uses of the Kaiser Permanente-Cardiac Device Registry. This is a cohort study of implantable cardioverter defibrillators (ICD), pacemakers (PM), and cardiac resynchronization therapy (CRT) devices implanted between January 1, 2007 and December 31, 2013 by ≈400 physicians in 6 US geographical regions. Registry data variables, including patient characteristics, comorbidities, indication for procedures, complications, and revisions, were captured using the healthcare system's electronic medical record. Outcomes were identified using electronic screening algorithms and adjudicated via chart review. There were 11 924 ICDs, 33 519 PMs, 4472 CRTs, and 66 067 leads registered. A higher proportion of devices were implanted in males: 75.1% (ICD), 55.0% (PM), and 66.7% (CRT), with mean patient age 63.2 years (ICD), 75.2 (PM), and 67.2 (CRT). The 30-day postoperative incidence of tamponade, hematoma, and pneumothorax were ≤0.3% (ICD), ≤0.6% (PM), and ≤0.4% (CRT). Device failures requiring revision occurred at a rate of 2.17% for ICDs, 0.85% for PMs, and 4.93% for CRTs, per 100 patient observation years. Superficial infection rates were <0.03% for all devices; deep infection rates were 0.6% (ICD), 0.5% (PM), and 1.0% (CRT). Results were used to monitor vendor-specific variations and were systematically shared with individual regions to address potential variations in outcomes, utilization, and to assist with the management of device recalls. The Kaiser Permanente-Cardiac Device Registry is a robust tool to monitor postprocedural patient outcomes and postmarket surveillance of implants and potentially change practice patterns. © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Patterns of Care, Utilization, and Outcomes of Treatments for Localized Prostate Cancer

DTIC Science & Technology

2011-05-01

relevant ICD-9 or CPT-4 diagnosis and procedure codes.1 Hospital length of stay ( LOS ) was defined as the number of days from admission to discharge...period using Cochran-Armitage trend tests, and univariate differences between treatment modalities were assessed with chi- square tests. Mean LOS was...and median LOS declined for patients undergoing MIRP (pɘ.0036, Table 9). Overall perioperative complications decreased from 13.8% to 10.7% (p

Medical Surveillance Monthly Report (MSMR). Volume 13, Number 2, February/March 2007

DTIC Science & Technology

2007-03-01

13/No. 2 1 10 100 1,000 10,000 100,000 Influenza Varicella Hep B Pertussis Hep A Mumps Meningococcal disease Vaccine-preventable disease R ep or te... pertussis (ICD- 9: 033), mumps (ICD-9: 072), influenza (ICD-9: 487), hepatitis B (ICD-9: 070.2, 070.3), and hepatitis A (ICD- 9: 070.0, 070.1) were defined by...Influenza Varicella Hep B w/o coma Pertussis Hep A w/o coma MSMR 17Vol. 13/No. 2 conditions should account for potential changes in case ascertainment and

Post-licensure rapid immunization safety monitoring program (PRISM) data characterization.

PubMed

Baker, Meghan A; Nguyen, Michael; Cole, David V; Lee, Grace M; Lieu, Tracy A

2013-12-30

The Post-Licensure Rapid Immunization Safety Monitoring (PRISM) program is the immunization safety monitoring component of FDA's Mini-Sentinel project, a program to actively monitor the safety of medical products using electronic health information. FDA sought to assess the surveillance capabilities of this large claims-based distributed database for vaccine safety surveillance by characterizing the underlying data. We characterized data available on vaccine exposures in PRISM, estimated how much additional data was gained by matching with select state and local immunization registries, and compared vaccination coverage estimates based on PRISM data with other available data sources. We generated rates of computerized codes representing potential health outcomes relevant to vaccine safety monitoring. Standardized algorithms including ICD-9 codes, number of codes required, exclusion criteria and location of the encounter were used to obtain the background rates. The majority of the vaccines routinely administered to infants, children, adolescents and adults were well captured by claims data. Immunization registry data in up to seven states comprised between 5% and 9% of data for all vaccine categories with the exception of 10% for hepatitis B and 3% and 4% for rotavirus and zoster respectively. Vaccination coverage estimates based on PRISM's computerized data were similar to but lower than coverage estimates from the National Immunization Survey and Healthcare Effectiveness Data and Information Set. For the 25 health outcomes of interest studied, the rates of potential outcomes based on ICD-9 codes were generally higher than rates described in the literature, which are typically clinically confirmed cases. PRISM program's data on vaccine exposures and health outcomes appear complete enough to support robust safety monitoring. Copyright © 2013 Elsevier Ltd. All rights reserved.

Do third-party plans really pay for CVS care?

PubMed

Soden, Richard

2002-04-01

Until specific CPT and ICD-9 codes are created and approved for CVS, and until there is uniform agreement that CVS is a true medical anomaly (or not), each practitioner will have to decide on how to bill for the signs and symptoms of Computer Vision Syndrome. If the practitioner chooses to view CVS as a medical problem, then the same guidelines and rules for all other patients should be followed with appropriate documentation using CPT and ICD-9 coding. If the practitioner chooses to consider CVS solely as an optical problem, this is a "noncovered" service and the patient or any applicable optical plan will be responsible for payment. One final note: each practitioner who tests for CVS will also have to determine if there is a separate fee for CVS testing. If the practitioner considers CVS to be a medical problem, it may be applicable to include testing for Computer Vision Syndrome as an incidental test to the medical office visit. If the practitioner chooses to consider CVS to be purely an optical problem, it may be appropriate to add an appropriate charge to the noncovered examination. Whatever the decision is, there must be consistency from patient to patient.

Deprivation and mortality in non-metropolitan areas of England and Wales.

PubMed Central

Jessop, E G

1996-01-01

OBJECTIVE: To test the hypothesis that the relationship between deprivation and mortality is weaker among residents of non-metropolitan areas of England and Wales than among residents of metropolitan areas. DESIGN: This study compared mortality, expressed as standardised mortality ratios (SMRs), in residents of metropolitan and non-metropolitan districts at three levels of deprivation classified by an electoral ward deprivation score and by home and car ownership. SMRs were computed for all causes of death, for bronchitis and asthma (ICD9 codes 490-493), and for accident, violence, and poisoning (ICD9 codes 800-999). SETTING: England and Wales. PARTICIPANTS: Members of the longitudinal study of the Office of Population Censuses and Surveys, a quasi-random 1% sample of the population of England and Wales. MAIN RESULTS: There was an association between deprivation and mortality which was clear for all cause mortality, more noticeable for respiratory disease, and less clear for deaths from accident, violence, and poison. In general, the results showed a remarkable similarity between metropolitan and non-metropolitan areas. CONCLUSIONS: This study does not support the hypothesis that the relationship between mortality and deprivation differs between residents of metropolitan and non-metropolitan areas of England and Wales. PMID:8944858

Deprivation and mortality in non-metropolitan areas of England and Wales.

PubMed

Jessop, E G

1996-10-01

To test the hypothesis that the relationship between deprivation and mortality is weaker among residents of non-metropolitan areas of England and Wales than among residents of metropolitan areas. This study compared mortality, expressed as standardised mortality ratios (SMRs), in residents of metropolitan and non-metropolitan districts at three levels of deprivation classified by an electoral ward deprivation score and by home and car ownership. SMRs were computed for all causes of death, for bronchitis and asthma (ICD9 codes 490-493), and for accident, violence, and poisoning (ICD9 codes 800-999). England and Wales. Members of the longitudinal study of the Office of Population Censuses and Surveys, a quasi-random 1% sample of the population of England and Wales. There was an association between deprivation and mortality which was clear for all cause mortality, more noticeable for respiratory disease, and less clear for deaths from accident, violence, and poison. In general, the results showed a remarkable similarity between metropolitan and non-metropolitan areas. This study does not support the hypothesis that the relationship between mortality and deprivation differs between residents of metropolitan and non-metropolitan areas of England and Wales.

Pressure Ulcers in the United States' Inpatient Population From 2008 to 2012: Results of a Retrospective Nationwide Study.

PubMed

Bauer, Karen; Rock, Kathryn; Nazzal, Munier; Jones, Olivia; Qu, Weikai

2016-11-01

Pressure ulcers are common, increase patient morbidity and mortality, and costly for patients, their families, and the health care system. A retrospective study was conducted to evaluate the impact of pressure ulcers on short-term outcomes in United States inpatient populations and to identify patient characteristics associated with having 1 or more pressure ulcers. The US Nationwide Inpatient Sample (NIS) database was analyzed using the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9 CM) diagnosis codes as the screening tool for all inpatient pressure ulcers recorded from 2008 to 2012. Patient demographics and comorbid conditions, as identified by ICD-9 code, were extracted, along with primary outcomes of length of stay (LOS), total hospital charge (TC), inhospital mortality, and discharge disposition. Continuous variables with normal distribution were expressed in terms of mean and standard deviation. Group comparisons were performed using t-test or ANOVA test. Continuous nonnormal distributed variables such as LOS and TC were expressed in terms of median, and nonparametric tests were used to compare the differences between groups. Categorical data were presented in terms of percentages of the number of cases within each group. Chi-squared tests were used to compare categorical data in different groups. For multivariate analysis, linear regressions (for continuous variable) and logistic regression (for categorical variables) were used to analyze the possible risk factors for the investigated outcomes of LOS, TC, inhospital mortality, and patient disposition. Coefficients were calculated with multivariate regression with all included patients versus patients with pressure ulcers alone. The 5-year average number of admitted patients with at least 1 pressure ulcer was determined to be 670 767 (average overall rate: 1.8%). Statistically significant differences between patients with and without pressure ulcers were observed for median LOS (7 days [mean 11.1 ± 15] compared to 3 days [mean 4.6 ± 6.8]) and median TC ($36 500 [mean $72 000 ± $122 900] compared to $17 200 [mean $32 200 ± $57 500]). The mortality rate in patients with a pressure ulcer was significantly higher than in patients without a pressure ulcer (9.1% versus 1.8%, OR = 5.08, CI: 5.03-5.1, P <0.001). Pressure ulcers were significantly more common in patients who were older or had malnutrition. The results of this study confirm the importance of prevention initiatives to help reduce the negative impact of pressure ulcers on patient outcomes and costs of care.

[Gastos hospitalarios por neumonía neumocóccica invasora en adultos en un hospital general en Chile].

PubMed

Alarcón, Álvaro; Lagos, Isabel; Fica, Alberto

2016-08-01

Pneumococcal infections are important for their morbidity and economic burden, but there is no economical data from adults patients in Chile. Estimate direct medical costs of bacteremic pneumococcal pneumonia among adult patients hospitalized in a general hospital and to evaluate the sensitivity of ICD 10 discharge codes to capture infections from this pathogen. Analysis of hospital charges by components in a group of patients admitted for bacteremic pneumococcal pneumonia, correction of values by inflation and conversion from CLP to US$. Data were collected from 59 patients admitted during 2005-2010, mean age 71.9 years. Average hospital charges for those managed in general wards reached 2,756 US$, 8,978 US$ for those managed in critical care units (CCU) and 6,025 for the whole group. Charges were higher in CCU (p < 0.001), and patients managed in these units generated 78.3% of the whole cost (n = 31; 52.5% from total). The median cost in general wards was 1,558 US$, and 3,993 in CCU. Main components were bed occupancy (37.8% of charges), and medications (27.4%). There were no differences associated to age, comorbidities, severity scores or mortality. No single ICD discharge code involved a S. pneumoniae bacteremic case (0% sensitivity) and only 2 cases were coded as pneumococcal pneumonia (3.4%). Mean hospital charges (~6,000 US dollars) or median values (~2,400 US dollars) were high, underlying the economic impact of this condition. Costs were higher among patients managed in CCU. Recognition of bacteremic pneumococcal infections by ICD 10 discharge codes has a very low sensitivity.

Just-in-time coding of the problem list in a clinical environment.

PubMed Central

Warren, J. J.; Collins, J.; Sorrentino, C.; Campbell, J. R.

1998-01-01

Clinically useful problem lists are essential to the CPR. Providing a terminology that is standardized and understood by all clinicians is a major challenge. UNMC has developed a lexicon to support their problem list. Using a just-in-time coding strategy, the lexicon is maintained and extended prospectively in a dynamic clinical environment. The terms in the lexicon are mapped to ICD-9-CM, NANDA, and SNOMED International classification schemes. Currently, the lexicon contains 12,000 terms. This process of development and maintenance of the lexicon is described. PMID:9929226

The prevalence of obesity documentation in Primary Care Electronic Medical Records. Are we acknowledging the problem?

PubMed

Mattar, Ahmed; Carlston, David; Sariol, Glen; Yu, Tongle; Almustafa, Ahmad; Melton, Genevieve B; Ahmed, Adil

2017-01-25

Although obesity is a growing problem, primary care physicians often inadequately address it. The objective of this study is to examine the prevalence of obesity documentation in the patient's problem list for patients with eligible body mass indexes (BMI) as contained in the patients' electronic medical record (EMR). Additionally, we examined the prevalence of selected chronic conditions across BMI levels. This study is a retrospective study using EMR data for adult patients visiting an outpatient clinic between June 2012 and June 2015. International Classification of Diseases, Ninth Revision, (ICD-9) codes were used to identify obesity documentation in the EMR problem list. Univariate and multivariate logistic regression analyses were used. Out of 10,540, a total of 3,868 patients were included in the study. 2,003 (52%) patients met the criteria for obesity (BMI ≥ 30.0); however, only 112 (5.6%) patient records included obesity in the problem list. Moreover, in a multivariate analysis, in addition to age and gender, morbid obesity and cumulative number of comorbidities were significantly associated with obesity documentation, OR=1.6 and OR=1.3, respectively, with 95% CI [1.4, 1.9] and [1.0, 1.7], respectively. For those with obesity documentation, exercise counseling was provided more often than diet counselling. Based on EHR documentation, obesity is under coded and generally not identified as a significant problem in primary care. Physicians are more likely to document obesity in the patient record for those with higher BMI scores who are morbidly obese. Moreover, physicians more frequently provide exercise than diet counseling for the documented obese.

Diffusion of anti-VEGF injections in the Portuguese National Health System

PubMed Central

Marques, Ana Patrícia; Macedo, António Filipe; Perelman, Julian; Aguiar, Pedro; Rocha-Sousa, Amândio; Santana, Rui

2015-01-01

Objectives To analyse the temporal and geographical diffusion of antivascular endothelial growth factor (anti-VEGF) interventions, and its determinants in a National Health System (NHS). Setting NHS Portuguese hospitals. Participants All inpatient and day cases related to eye diseases at all Portuguese public hospitals for the period 2002–2012 were selected on the basis of four International Classification of Diseases 9th revision, Clinical Modification (ICD-9-CM) codes for procedures: 1474, 1475, 1479 and 149. Primary and secondary outcome measures We measured anti-VEGF treatment rates by year and county. The determinants of the geographical diffusion were investigated using generalised linear modelling. Results We analysed all hospital discharges from all NHS hospitals in Portugal (98 408 hospital discharges corresponding to 57 984 patients). National rates of hospitals episodes for the codes for procedures used were low before anti-VEGF approval in 2007 (less than 12% of hospital discharges). Between 2007 and 2012, the rates of hospital episodes related to the introduction of anti-VEGF injections increased by 27% per year. Patients from areas without ophthalmology departments received fewer treatments than those from areas with ophthalmology departments. The availability of an ophthalmology department in the county increased the rates of hospital episodes by 243%, and a 100-persons greater density per km2 raised the rates by 11%. Conclusions Our study shows a large but unequal diffusion of anti-VEGF treatments despite the universal coverage and very low copayments. The technological innovation in ophthalmology may thus produce unexpected inequalities related to financial constraints unless the implementation of innovative techniques is planned and regulated. PMID:26597866

Harmful Algal Bloom–Associated Illness Surveillance: Lessons From Reported Hospital Visits in New York, 2008–2014

PubMed Central

Muscatiello, Neil; Wilson, Lloyd; Dziewulski, David

2016-01-01

We identified hospital visits with reported exposure to harmful algal blooms, an emerging public health concern because of toxicity and increased incidence. We used the World Health Organization’s International Classification of Disease (ICD) medical code specifying environmental exposure to harmful algal blooms to extract hospital visit records in New York State from 2008 to 2014. Using the ICD code, we identified 228 hospital visits with reported exposure to harmful algal blooms. They occurred all year long and had multiple principal diagnoses. Of all hospital visits, 94.7% were managed in the emergency department and 5.3% were hospitalizations. As harmful algal bloom surveillance increases, the ICD code will be a beneficial tool to public health only if used properly. PMID:26794161

An Ontology to Improve Transparency in Case Definition and Increase Case Finding of Infectious Intestinal Disease: Database Study in English General Practice.

PubMed

de Lusignan, Simon; Shinneman, Stacy; Yonova, Ivelina; van Vlymen, Jeremy; Elliot, Alex J; Bolton, Frederick; Smith, Gillian E; O'Brien, Sarah

2017-09-28

Infectious intestinal disease (IID) has considerable health impact; there are 2 billion cases worldwide resulting in 1 million deaths and 78.7 million disability-adjusted life years lost. Reported IID incidence rates vary and this is partly because terms such as "diarrheal disease" and "acute infectious gastroenteritis" are used interchangeably. Ontologies provide a method of transparently comparing case definitions and disease incidence rates. This study sought to show how differences in case definition in part account for variation in incidence estimates for IID and how an ontological approach provides greater transparency to IID case finding. We compared three IID case definitions: (1) Royal College of General Practitioners Research and Surveillance Centre (RCGP RSC) definition based on mapping to the Ninth International Classification of Disease (ICD-9), (2) newer ICD-10 definition, and (3) ontological case definition. We calculated incidence rates and examined the contribution of four supporting concepts related to IID: symptoms, investigations, process of care (eg, notification to public health authorities), and therapies. We created a formal ontology using ontology Web language. The ontological approach identified 5712 more cases of IID than the ICD-10 definition and 4482 more than the RCGP RSC definition from an initial cohort of 1,120,490. Weekly incidence using the ontological definition was 17.93/100,000 (95% CI 15.63-20.41), whereas for the ICD-10 definition the rate was 8.13/100,000 (95% CI 6.70-9.87), and for the RSC definition the rate was 10.24/100,000 (95% CI 8.55-12.12). Codes from the four supporting concepts were generally consistent across our three IID case definitions: 37.38% (3905/10,448) (95% CI 36.16-38.5) for the ontological definition, 38.33% (2287/5966) (95% CI 36.79-39.93) for the RSC definition, and 40.82% (1933/4736) (95% CI 39.03-42.66) for the ICD-10 definition. The proportion of laboratory results associated with a positive test result was 19.68% (546/2775). The standard RCGP RSC definition of IID, and its mapping to ICD-10, underestimates disease incidence. The ontological approach identified a larger proportion of new IID cases; the ontology divides contributory elements and enables transparency and comparison of rates. Results illustrate how improved diagnostic coding of IID combined with an ontological approach to case definition would provide a clearer picture of IID in the community, better inform GPs and public health services about circulating disease, and empower them to respond. We need to improve the Pathology Bounded Code List (PBCL) currently used by laboratories to electronically report results. Given advances in stool microbiology testing with a move to nonculture, PCR-based methods, the way microbiology results are reported and coded via PBCL needs to be reviewed and modernized. ©Simon de Lusignan, Stacy Shinneman, Ivelina Yonova, Jeremy van Vlymen, Alex J Elliot, Frederick Bolton, Gillian E Smith, Sarah O'Brien. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 28.09.2017.

Interaction between shock coils increased the incidence of inappropriate therapies and lead failure in implantable cardioverter defibrillator.

PubMed

El Garhy, Mohammad; Ohlow, Marc-Alexander; Lauer, Bernward

Shock coil interaction in patients with multiple implantable cardioverter defibrillator (ICD) leads is occasionally observed. We aimed to evaluate the incidence of shock coil interaction and its clinical relevance. All ICD patients (646 patients) who came to follow up control in our ICD ambulance between January 1, 2011, and December 31, 2011 in the department of cardiology in Bad Berka hospital were retrospectively evaluated in this study. All baseline demographic, clinical, and procedural characteristics and postoperative chest x ray in postero-anterior and lateral view as well as clinical and ICD follow up data were evaluated. Among 646 patients 42 had multiple ICD leads (6.5%) of whom 36 patients (5.5% of total cohort patients and 85.7% of patients with multiple ICD leads) had shock coil interaction and presented the study group (Group I). The control group (Group II) consisted of 610 patients without coil-coil interaction including patients with single shock lead (604 patients) or patients with multiple leads but without interaction between shock coils (6 patients). Inappropriate anti-tachycardia therapies and RV lead revisions were more frequent in patients with interaction between shock coils (Group I vs Group II: 27.7% and 5.7%; p = 0.049 and 30.6% vs 6.4; p = 0.0001, respectively). Interaction between shock coils may be one of possible causes of lead failure and resulted in inappropriate therapies and subsequent lead revision. Copyright © 2018 Indian Heart Rhythm Society. Production and hosting by Elsevier B.V. All rights reserved.

Conceptual-driven classification for coding advise in health insurance reimbursement.

PubMed

Li, Sheng-Tun; Chen, Chih-Chuan; Huang, Fernando

2011-01-01

With the non-stop increases in medical treatment fees, the economic survival of a hospital in Taiwan relies on the reimbursements received from the Bureau of National Health Insurance, which in turn depend on the accuracy and completeness of the content of the discharge summaries as well as the correctness of their International Classification of Diseases (ICD) codes. The purpose of this research is to enforce the entire disease classification framework by supporting disease classification specialists in the coding process. This study developed an ICD code advisory system (ICD-AS) that performed knowledge discovery from discharge summaries and suggested ICD codes. Natural language processing and information retrieval techniques based on Zipf's Law were applied to process the content of discharge summaries, and fuzzy formal concept analysis was used to analyze and represent the relationships between the medical terms identified by MeSH. In addition, a certainty factor used as reference during the coding process was calculated to account for uncertainty and strengthen the credibility of the outcome. Two sets of 360 and 2579 textual discharge summaries of patients suffering from cerebrovascular disease was processed to build up ICD-AS and to evaluate the prediction performance. A number of experiments were conducted to investigate the impact of system parameters on accuracy and compare the proposed model to traditional classification techniques including linear-kernel support vector machines. The comparison results showed that the proposed system achieves the better overall performance in terms of several measures. In addition, some useful implication rules were obtained, which improve comprehension of the field of cerebrovascular disease and give insights to the relationships between relevant medical terms. Our system contributes valuable guidance to disease classification specialists in the process of coding discharge summaries, which consequently brings benefits in aspects of patient, hospital, and healthcare system. Copyright © 2010 Elsevier B.V. All rights reserved.

Effect of battery longevity on costs and health outcomes associated with cardiac implantable electronic devices: a Markov model-based Monte Carlo simulation.

PubMed

Schmier, Jordana K; Lau, Edmund C; Patel, Jasmine D; Klenk, Juergen A; Greenspon, Arnold J

2017-11-01

The effects of device and patient characteristics on health and economic outcomes in patients with cardiac implantable electronic devices (CIEDs) are unclear. Modeling can estimate costs and outcomes for patients with CIEDs under a variety of scenarios, varying battery longevity, comorbidities, and care settings. The objective of this analysis was to compare changes in patient outcomes and payer costs attributable to increases in battery life of implantable cardiac defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-D). We developed a Monte Carlo Markov model simulation to follow patients through primary implant, postoperative maintenance, generator replacement, and revision states. Patients were simulated in 3-month increments for 15 years or until death. Key variables included Charlson Comorbidity Index, CIED type, legacy versus extended battery longevity, mortality rates (procedure and all-cause), infection and non-infectious complication rates, and care settings. Costs included procedure-related (facility and professional), maintenance, and infections and non-infectious complications, all derived from Medicare data (2004-2014, 5% sample). Outcomes included counts of battery replacements, revisions, infections and non-infectious complications, and discounted (3%) costs and life years. An increase in battery longevity in ICDs yielded reductions in numbers of revisions (by 23%), battery changes (by 44%), infections (by 23%), non-infectious complications (by 10%), and total costs per patient (by 9%). Analogous reductions for CRT-Ds were 23% (revisions), 32% (battery changes), 22% (infections), 8% (complications), and 10% (costs). Based on modeling results, as battery longevity increases, patients experience fewer adverse outcomes and healthcare costs are reduced. Understanding the magnitude of the cost benefit of extended battery life can inform budgeting and planning decisions by healthcare providers and insurers.

The Advantages and Limitations of International Classification of Diseases, Injuries and Causes of Death from Aspect of Existing Health Care System of Bosnia and Herzegovina

PubMed Central

Kurbasic, Izeta; Pandza, Haris; Masic, Izet; Huseinagic, Senad; Tandir, Salih; Alicajic, Fredi; Toromanovic, Selim

2008-01-01

CONFLICT OF INTEREST: NONE DECLARED Introduction The International classification of diseases (ICD) is the most important classification in medicine. It is used by all medical professionals. Concept The basic concept of ICD is founded on the standardization of the nomenclature for the names of diseases and their basic systematization in the hierarchically structured category. Advantages and disadvantages The health care provider institutions such as hospitals are subjects that should facilitate implementation of medical applications that follows the patient medical condition and facts connected with him. The definitive diagnosis that can be coded using ICD can be achieved after several visits of patient and rarely during the first visit. Conclusion The ICD classification is one of the oldest and most important classifications in medicine. In the scope of ICD are all fields of medicine. It is used in statistical purpose and as a coding system in medical databases. PMID:24109155

A language of health in action: Read Codes, classifications and groupings.

PubMed Central

Stuart-Buttle, C. D.; Read, J. D.; Sanderson, H. F.; Sutton, Y. M.

1996-01-01

A cornerstone of the Information Management and Technology Strategy of the National Health Service's (NHS) Executive is fully operational, person-based clinical information systems, from which flow all of the data needed for direct and indirect care of patients by healthcare providers, and local and national management of the NHS. The currency of these data flows are firstly Read-coded clinical terms, secondly the classifications, the International, Classification of Disease and Health Related Problems, 10th Revision (ICD-10) and The Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures, 4th Revision (OPCS-4), and thirdly Healthcare Resource Groups and Health Benefit Groups, all of which together are called the "language of health", an essential element of the electronic clinical record. This paper briefly describes the three main constituents of the language, and how, together with person-based, fully operational clinical information systems, it enables more effective and efficient healthcare delivery. It also describes how the remaining projects of the IM&T Strategy complete the key components necessary to provide the systems that will enable the flow of person-based data, collected once at the point of care and shared amongst all legitimate users via the electronic patient record. PMID:8947631

Reliability of cause of death coding: an international comparison.

PubMed

Antini, Carmen; Rajs, Danuta; Muñoz-Quezada, María Teresa; Mondaca, Boris Andrés Lucero; Heiss, Gerardo

2015-07-01

This study evaluates the agreement of nosologic coding of cardiovascular causes of death between a Chilean coder and one in the United States, in a stratified random sample of death certificates of persons aged ≥ 60, issued in 2008 in the Valparaíso and Metropolitan regions, Chile. All causes of death were converted to ICD-10 codes in parallel by both coders. Concordance was analyzed with inter-coder agreement and Cohen's kappa coefficient by level of specification ICD-10 code for the underlying cause and the total causes of death coding. Inter-coder agreement was 76.4% for all causes of death and 80.6% for the underlying cause (agreement at the four-digit level), with differences by the level of specification of the ICD-10 code, by line of the death certificate, and by number of causes of death per certificate. Cohen's kappa coefficient was 0.76 (95%CI: 0.68-0.84) for the underlying cause and 0.75 (95%CI: 0.74-0.77) for the total causes of death. In conclusion, causes of death coding and inter-coder agreement for cardiovascular diseases in two regions of Chile are comparable to an external benchmark and with reports from other countries.

[Analysis of the incidence and causes of repeated surgical interventions in patients with early complications electrotherapy - 1 center experience from the period 2012-2015].

PubMed

Piątek, Łukasz; Polewczyk, Anna; Kurzawski, Jacek; Zachura, Małgorzata; Kaczmarczyk, Małgorzata; Janion, Marianna

Due to increasing number of patients treated by cardiac implantable electronic devices we observe increasing number of complications after these procedures We analysed causes of early surgical revision of implantable devices connected with 1673 procedures of implantation (871 procedures) or exchange (802 procedures) of pacing systems (PM), cardioverter-difibrillators (ICD) and resynchronisation systems (CRT) in one local centre of electrotherapy in years 2012 to 2015. We characterised risk factors and its influence on encountered complications. In analysed period 72 reinterventions after implantations or exchanges of PM/ICD/CRT were performed. Main causes of early complications were: lead malfunction (2.5%), including the dislodgement of the leads in 1.9%, pocket hematoma (1.4%) and other abnormalities of the pocket (0.4 %), including pocket infections in 0.2%. The most important risk factors of early complications were often implantations of the leads with passive fixation and anticoagulation therapy in perioperative period. The knowledge of the early complications after implantations and exchanges of PM/ICD/CRT should improve the safety of procedures through more often used of the leads with active fixation and properly preparation of the patients requering the antithrombic therapy.

An evaluation of the quality of obstetric morbidity coding using an objective assessment tool, the Performance Indicators For Coding Quality (PICQ).

PubMed

Lamb, Mary K; Innes, Kerry; Saad, Patricia; Rust, Julie; Dimitropoulos, Vera; Cumerlato, Megan

The Performance Indicators for Coding Quality (PICQ) is a data quality assessment tool developed by Australia's National Centre for Classification in Health (NCCH). PICQ consists of a number of indicators covering all ICD-10-AM disease chapters, some procedure chapters from the Australian Classification of Health Intervention (ACHI) and some Australian Coding Standards (ACS). The indicators can be used to assess the coding quality of hospital morbidity data by monitoring compliance of coding conventions and ACS; this enables the identification of particular records that may be incorrectly coded, thus providing a measure of data quality. There are 31 obstetric indicators available for the ICD-10-AM Fourth Edition. Twenty of these 31 indicators were classified as Fatal, nine as Warning and two Relative. These indicators were used to examine coding quality of obstetric records in the 2004-2005 financial year Australian national hospital morbidity dataset. Records with obstetric disease or procedure codes listed anywhere in the code string were extracted and exported from the SPSS source file. Data were then imported into a Microsoft Access database table as per PICQ instructions, and run against all Fatal and Warning and Relative (N=31) obstetric PICQ 2006 Fourth Edition Indicators v.5 for the ICD-10- AM Fourth Edition. There were 689,905 gynaecological and obstetric records in the 2004-2005 financial year, of which 1.14% were found to have triggered Fatal degree errors, 3.78% Warning degree errors and 8.35% Relative degree errors. The types of errors include completeness, redundancy, specificity and sequencing problems. It was found that PICQ is a useful initial screening tool for the assessment of ICD-10-AM/ACHI coding quality. The overall quality of codes assigned to obstetric records in the 2004- 2005 Australian national morbidity dataset is of fair quality.

National assessment of validity of coding of acute mastoiditis: a standardised reassessment of 1966 records.

PubMed

Stalfors, J; Enoksson, F; Hermansson, A; Hultcrantz, M; Robinson, Å; Stenfeldt, K; Groth, A

2013-04-01

To investigate the internal validity of the diagnosis code used at discharge after treatment of acute mastoiditis. Retrospective national re-evaluation study of patient records 1993-2007 and make comparison with the original ICD codes. All ENT departments at university hospitals and one large county hospital department in Sweden. A total of 1966 records were reviewed for patients with ICD codes for in-patient treatment of acute (529), chronic (44) and unspecified mastoiditis (21) and acute otitis media (1372). ICD codes were reviewed by the authors with a defined protocol for the clinical diagnosis of acute mastoiditis. Those not satisfying the diagnosis were given an alternative diagnosis. Of 529 records with ICD coding for acute mastoiditis, 397 (75%) were found to meet the definition of acute mastoiditis used in this study, while 18% were not diagnosed as having any type of mastoiditis after review. Review of the in-patients treated for acute media otitis identified an additional 60 cases fulfilling the definition of acute mastoiditis. Overdiagnosis was common, and many patients with a diagnostic code indicating acute mastoiditis had been treated for external otitis or otorrhoea with transmyringeal drainage. The internal validity of the diagnosis acute mastoiditis is dependent on the use of standardised, well-defined criteria. Reliability of diagnosis is fundamental for the comparison of results from different studies. Inadequate reliability in the diagnosis of acute mastoiditis also affects calculations of incidence rates and statistical power and may also affect the conclusions drawn from the results. © 2013 Blackwell Publishing Ltd.

Diaphragmatic Myopotential Oversensing Caused by Change in Implantable Cardioverter Defibrillator Sensing Bandpass Filter.

PubMed

Ploux, Sylvain; Swerdlow, Charles D; Eschalier, Romain; Monteil, Benjamin; Ouali, Sana; Haïssaguerre, Michel; Bordachar, Pierre

2016-07-01

Diaphragmatic myopotential oversensing (DMO) causes inhibition of pacing and inappropriate detection of ventricular fibrillation in implantable cardioverter defibrillators (ICDs). It occurs almost exclusively with integrated bipolar leads and is extremely rare with dedicated bipolar leads. If DMO cannot be corrected by reducing programmed sensitivity, ventricular lead revision is often required. The new Low Frequency Attenuation (LFA) filter in St. Jude Medical ICDs (St. Jude Medical, Sylmar, CA, USA) alters the sensing bandpass to reduce T-wave oversensing. This paper aims to present the LFA filter as a reversible cause of DMO. Unnecessary lead revision can be avoided by the simple programming solution of deactivating this LFA filter. ©2016 Wiley Periodicals, Inc.

There Is a Significant Discrepancy Between "Big Data" Database and Original Research Publications on Hip Arthroscopy Outcomes: A Systematic Review.

PubMed

Sochacki, Kyle R; Jack, Robert A; Safran, Marc R; Nho, Shane J; Harris, Joshua D

2018-06-01

The purpose of this study was to compare (1) major complication, (2) revision, and (3) conversion to arthroplasty rates following hip arthroscopy between database studies and original research peer-reviewed publications. A systematic review was performed using PRISMA guidelines. PubMed, SCOPUS, SportDiscus, and Cochrane Central Register of Controlled Trials were searched for studies that investigated major complication (dislocation, femoral neck fracture, avascular necrosis, fluid extravasation, septic arthritis, death), revision, and hip arthroplasty conversion rates following hip arthroscopy. Major complication, revision, and conversion to hip arthroplasty rates were compared between original research (single- or multicenter therapeutic studies) and database (insurance database using ICD-9/10 and/or current procedural terminology coding terminology) publishing studies. Two hundred seven studies (201 original research publications [15,780 subjects; 54% female] and 6 database studies [20,825 subjects; 60% female]) were analyzed (mean age, 38.2 ± 11.6 years old; mean follow-up, 2.7 ± 2.9 years). The database studies had a significantly higher age (40.6 + 2.8 vs 35.4 ± 11.6), body mass index (27.4 ± 5.6 vs 24.9 ± 3.1), percentage of females (60.1% vs 53.8%), and longer follow-up (3.1 ± 1.6 vs 2.7 ± 3.0) compared with original research (P < .0001 for all). Ninety-seven (0.6%) major complications occurred in the individual studies, and 95 (0.8%) major complications occurred in the database studies (P = .029; relative risk [RR], 1.3). There was a significantly higher rate of femoral neck fracture (0.24% vs 0.03%; P < .0001; RR, 8.0), and hip dislocation (0.17% vs 0.06%; P = .023; RR, 2.2) in the database studies. Reoperations occurred at a significantly higher rate in the database studies (11.1% vs 7.3%; P < .001; RR, 1.5). There was a significantly higher rate of conversion to arthroplasty in the database studies (8.0% vs 3.7%; P < .001; RR, 2.2). Database studies report significantly increased major complication, revision, and conversion to hip arthroplasty rates compared with original research investigations of hip arthroscopy outcomes. Level IV, systematic review of Level I-IV studies. Copyright © 2018 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Patterns and trends in accidental poisoning death rates in the US, 1979-2014.

PubMed

Buchanich, Jeanine M; Balmert, Lauren C; Pringle, Janice L; Williams, Karl E; Burke, Donald S; Marsh, Gary M

2016-08-01

The purpose of this study was to examine US accidental poisoning death rates by demographic and geographic factors from 1979 to 2014, including High Intensity Drug Trafficking Areas. Crude and age-adjusted death rates were formed for age group, race, sex, and county for accidental poisonings (ICD 9th revision: E850-E869; ICD 10th revision: X40-X49) from 1979 to 2014 using the Mortality and Population Data System housed at the University of Pittsburgh. Rate ratios were calculated comparing rates from 2014 to 1979, overall, by sex, age group, race, and county. Joinpoint regression detected changes in trends and calculated the average annual percentage change (AAPC) as a summary measure of trend. Drug poisoning mortality rates have risen an average of 6% per year since 1979. Increases are occurring in all ages 15+, and in all race-sex groups. HIDTA counties with the highest mortality rates were in Appalachia and New Mexico. Many of the HIDTA border counties had lower rates of mortality. The drug poisoning mortality epidemic is continuing to grow. While HIDTA resources are appropriately targeted at many areas in the US most affected, rates are also rapidly rising in some non-HIDTA areas. Copyright © 2016 Elsevier Inc. All rights reserved.

Catatonia from its creation to DSM-V: Considerations for ICD.

PubMed

Fink, Max

2011-07-01

Catatonia was delineated only as a type of schizophrenia in the many American Psychiatric Association DSM classifications and revisions from 1952 until 1994 when "catatonia secondary to a medical condition" was added. Since the 1970s the diagnosis of catatonia has been clarified as a syndrome of rigidity, posturing, mutism, negativism, and other motor signs of acute onset. It is found in about 10% of psychiatric hospital admissions, in patients with depressed and manic mood states and in toxic states. It is quickly treatable to remission by benzodiazepines and by ECT. The DSM-V revision proposes catatonia in two major diagnostic classes, specifiers for 10 principal diagnoses, and deletion of the designation of schizophrenia, catatonic type. This complex recommendation serves no clinical or research purpose and confuses treatment options. Catatonia is best considered in the proposed ICD revision as a unique syndrome of multiple forms warranting a single unique defined class similar to that of delirium.

The Prognostic Accuracy of Suggested Predictors of Failure of Medical Management in Patients With Nontuberculous Spinal Epidural Abscess.

PubMed

Stratton, Alexandra; Faris, Peter; Thomas, Kenneth

2018-05-01

Retrospective cohort study. To test the external validity of the 2 published prediction criteria for failure of medical management in patients with spinal epidural abscess (SEA). Patients with SEA over a 10-year period at a tertiary care center were identified using ICD-10 (International Classification of Diseases, 10th Revision) diagnostic codes; electronic and paper charts were reviewed. The incidence of SEA and the proportion of patients with SEA that were treated medically were calculated. The rate of failure of medical management was determined. The published prediction models were applied to our data to determine how predictive they were of failure in our cohort. A total of 550 patients were identified using ICD-10 codes, 160 of whom had a magnetic resonance imaging-confirmed diagnosis of SEA. The incidence of SEA was 16 patients per year. Seventy-five patients were found to be intentionally managed medically and were included in the analysis. Thirteen of these 75 patients failed medical management (17%). Based on the published prediction criteria, 26% (Kim et al) and 45% (Patel et al) of our patients were expected to fail. Published prediction models for failure of medical management of SEA were not valid in our cohort. However, once calibrated to our cohort, Patel's model consisting of positive blood culture, presence of diabetes, white blood cells >12.5, and C-reactive protein >115 was the better model for our data.

Incidence and disease burden of chemotherapy-induced peripheral neuropathy in a population-based cohort.

PubMed

Shah, Arya; Hoffman, E Matthew; Mauermann, Michelle L; Loprinzi, Charles L; Windebank, Anthony J; Klein, Christopher J; Staff, Nathan P

2018-06-01

To assess disease burden of chemotherapy-induced peripheral neuropathy (CIPN), which is a common dose-limiting side effect of neurotoxic chemotherapy. Late effects of CIPN may increase with improved cancer survival. Olmsted County, Minnesota residents receiving neurotoxic chemotherapy were identified and CIPN was ascertained via text searches of polyneuropathy symptoms in the medical record. Clinical records were queried to collect data on baseline characteristics, risk factors, signs and symptoms of CIPN, medications, impairments and International Classification of Diseases, Ninth Revision (ICD-9) diagnostic codes for all subjects. A total of 509 individuals with incident exposure to an inclusive list of neurotoxic chemotherapy agents between 2006 and 2008 were identified. 268 (52.7%) of these individuals were determined to have CIPN. The median time from incident exposure to first documented symptoms was 71 days. Patients with CIPN received a neuropathy ICD-9 diagnosis in only 37 instances (13.8%). Pain symptoms and use of pain medications were observed more often in patients with CIPN. Five-year survival was greater in those with CIPN (55.2%) versus those without (36.1%). Those with CIPN surviving greater than 5 years (n=145) continued to have substantial impairments and were more likely to be prescribed opioids than those without CIPN (OR 2.0, 1.06-3.69). Results from our population-based study are consistent with previous reports of high incidence of CIPN in the first 2 years following incident exposure to neurotoxic chemotherapeutic agents, and its association with significant pain symptomatology and accompanied long-term opioid use. Increased survival following exposure to neurotoxic chemotherapy and its long-term disease burden necessitates further study among survivors. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Agreement on underlying causes of infant death between original records and after investigation: analysis of two biennia in the years 2000.

PubMed

dos Santos, Hellen Geremias; de Andrade, Selma Maffei; Silva, Ana Maria Rigo; de Carvalho, Wladithe Organ; Mesas, Arthur Eumann; González, Alberto Durán

2014-01-01

To analyze the agreement between underlying causes of infant deaths obtained from Death Certificates (DC) with those defined after investigation by the Municipal Committee for the Prevention of Maternal and Infant Mortality (CMPMMI), in Londrina, Paraná State, in the biennia 2000-2001 and 2007-2008. DC of infants and records of investigations were obtained from the CMPMMI. The causes of death registered in both sources were coded according to the International Classification of Diseases, tenth revision (ICD-10), and the underlying causes of deaths were selected. Agreement between underlying causes of deaths was verified by Kappa's (k) test and analyzed according to ICD-10 chapters and blocks of categories in both biennia. In 2000/2001, according to ICD-10 chapters, high agreement rates were observed for conditions originated in the perinatal period (k = 0.85) and for external causes (k = 0.84), while, for congenital malformations, there was a substantial agreement (k = 0.71). In 2007/2008, agreement was considered poor for all analyzed chapters. For blocks of categories, high or substantial agreement rates were observed only in the first biennium for "congenital malformations of the circulatory system" (k = 0.78) and for "other external causes of accidental injury" (k = 0.91). A decrease in agreement between the sources during the study period indicates either an improvement in the process of investigation of infant death by the CMPMMI and/or a worsening in the quality of the DC information.

High Rates of Psychiatric Comorbidity in Narcolepsy: Findings From the Burden of Narcolepsy Disease (BOND) Study of 9,312 Patients in the United States.

PubMed

Ruoff, Chad M; Reaven, Nancy L; Funk, Susan E; McGaughey, Karen J; Ohayon, Maurice M; Guilleminault, Christian; Black, Jed

2017-02-01

To evaluate psychiatric comorbidity patterns in patients with a narcolepsy diagnosis in the United States. Truven Health Analytics MarketScan Research Databases were accessed to identify individuals ≥ 18 years of age with ≥ 1 ICD-9 diagnosis code(s) for narcolepsy continuously insured between 2006 and 2010 and non-narcolepsy controls matched 5:1 (age, gender, region, payer). Extensive subanalyses were conducted to confirm the validity of narcolepsy definitions. Narcolepsy subjects and controls were compared for frequency of psychiatric comorbid conditions (based on ICD-9 codes/Clinical Classification Software [CCS] level 2 categories) and psychiatric medication use. The final population included 9,312 narcolepsy subjects and 46,559 controls (each group, mean age = 46.1 years; 59% female). All categories of mental illness were significantly more prevalent in patients with narcolepsy versus controls, with the highest excess prevalence noted for CCS 5.8 Mood disorders (37.9% vs 13.8%; odds ratio [OR] = 4.0; 95% CI, 3.8-4.2), CCS 5.8.2 Depressive disorders (35.8% vs 13.0%; OR = 3.9; 95% CI, 3.7-4.1), and CCS 5.2 Anxiety disorders (25.1% vs 11.9%; OR = 2.5; 95% CI, 2.4-2.7). Excess prevalence of anxiety and mood disorders (narcolepsy vs controls) was higher in younger age groups versus older age groups. Psychiatric medication usage was higher in the narcolepsy group versus controls in the following categories: selective serotonin reuptake inhibitors (36% vs 17%), anxiolytic benzodiazepines (34% vs 19%), hypnotics (29% vs 13%), serotonin-norepinephrine reuptake inhibitors (21% vs 6%), and tricyclic antidepressants (13% vs 4%) (all P values < .0001). Narcolepsy is associated with significant comorbid psychiatric illness burden and higher psychiatric medication usage compared with the non-narcolepsy population. © Copyright 2016 Physicians Postgraduate Press, Inc.

Interatomic Coulombic Decay Effects in Theoretical DNA Recombination Systems Involving Protein Interaction Sites

NASA Astrophysics Data System (ADS)

Vargas, E. L.; Rivas, D. A.; Duot, A. C.; Hovey, R. T.; Andrianarijaona, V. M.

2015-03-01

DNA replication is the basis for all biological reproduction. A strand of DNA will ``unzip'' and bind with a complimentary strand, creating two identical strands. In this study, we are considering how this process is affected by Interatomic Coulombic Decay (ICD), specifically how ICD affects the individual coding proteins' ability to hold together. ICD mainly deals with how the electron returns to its original state after excitation and how this affects its immediate atomic environment, sometimes affecting the connectivity between interaction sites on proteins involved in the DNA coding process. Biological heredity is fundamentally controlled by DNA and its replication therefore it affects every living thing. The small nature of the proteins (within the range of nanometers) makes it a good candidate for research of this scale. Understanding how ICD affects DNA molecules can give us invaluable insight into the human genetic code and the processes behind cell mutations that can lead to cancer. Authors wish to give special thanks to Pacific Union College Student Senate in Angwin, California, for their financial support.

International variation in the definition of 'main condition' in ICD-coded health data.

PubMed

Quan, H; Moskal, L; Forster, A J; Brien, S; Walker, R; Romano, P S; Sundararajan, V; Burnand, B; Henriksson, G; Steinum, O; Droesler, S; Pincus, H A; Ghali, W A

2014-10-01

Hospital-based medical records are abstracted to create International Classification of Disease (ICD) coded discharge health data in many countries. The 'main condition' is not defined in a consistent manner internationally. Some countries employ a 'reason for admission' rule as the basis for the main condition, while other countries employ a 'resource use' rule. A few countries have recently transitioned from one of these approaches to the other. The definition of 'main condition' in such ICD data matters when it is used to define a disease cohort to assign diagnosis-related groups and to perform risk adjustment. We propose a method of harmonizing the international definition to enable researchers and international organizations using ICD-coded health data to aggregate or compare hospital care and outcomes across countries in a consistent manner. Inter-observer reliability of alternative harmonization approaches should be evaluated before finalizing the definition and adopting it worldwide. © The Author 2014. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text.

PubMed

Duarte, Francisco; Martins, Bruno; Pinto, Cátia Sousa; Silva, Mário J

2018-04-01

We address the assignment of ICD-10 codes for causes of death by analyzing free-text descriptions in death certificates, together with the associated autopsy reports and clinical bulletins, from the Portuguese Ministry of Health. We leverage a deep neural network that combines word embeddings, recurrent units, and neural attention, for the generation of intermediate representations of the textual contents. The neural network also explores the hierarchical nature of the input data, by building representations from the sequences of words within individual fields, which are then combined according to the sequences of fields that compose the inputs. Moreover, we explore innovative mechanisms for initializing the weights of the final nodes of the network, leveraging co-occurrences between classes together with the hierarchical structure of ICD-10. Experimental results attest to the contribution of the different neural network components. Our best model achieves accuracy scores over 89%, 81%, and 76%, respectively for ICD-10 chapters, blocks, and full-codes. Through examples, we also show that our method can produce interpretable results, useful for public health surveillance. Copyright © 2018 Elsevier Inc. All rights reserved.

Mild Traumatic Brain Injury Pocket Guide (CONUS)

DTIC Science & Technology

2010-01-01

Cognitive Rehab Driving Following TBI Patient Education Clinical Tools and Resources Report Documentation Page Form ApprovedOMB No. 0704-0188 Public... Rehab Driving Following TBI Patient Education Clinical Tools and Resources 2 3 TBI Basics VA/DoD CPG Management of Headaches Management of Other...Symptoms ICD-9 Coding Cognitive Rehab Driving Following TBI Patient Education Clinical Tools and Resources TBI BASICS 4 5 TBI BASICS dod definition

Injuries from Combat Explosions in Iraq: Injury Type, Location, and Severity

DTIC Science & Technology

2012-01-01

the ICD-9 codes that describe trauma, and constructs a matrix using 12 natures of injury (fractures, dislocations, sprains and strains, internal...versions were used in the analysis. The 11 of the 12 injury natures were collapsed into orthopaedic injuries (fractures, dislocations, sprains and strains...region. Orthopaedic injuries include fractures, dislocations, sprains and strains, amputations, and crush injuries. Internal injuries include internal

Early esophagogastroduodenoscopy is associated with better Outcomes in upper gastrointestinal bleeding: a nationwide study

PubMed Central

Garg, Sushil K.; Anugwom, Chimaobi; Campbell, James; Wadhwa, Vaibhav; Gupta, Nancy; Lopez, Rocio; Shergill, Sukhman; Sanaka, Madhusudhan R.

2017-01-01

Background and study aims We analyzed NIS (National Inpatient Sample) database from 2007 – 2013 to determine if early esophagogastroduodenoscopy (EGD) (24 hours) for upper gastrointestinal bleeding improved the outcomes in terms of mortality, length of stay and costs. Patients and methods Patients were classified as having upper gastrointestinal hemorrhage by querying all diagnostic codes for the ICD-9-CM codes corresponding to upper gastrointestinal bleeding. For these patients, performance of EGD during admission was determined by querying all procedural codes for the ICD-9-CM codes corresponding to EGD; early EGD was defined as having EGD performed within 24 hours of admission and late EGD was defined as having EGD performed after 24 hours of admission. Results A total of 1,789,532 subjects with UGIH were identified. Subjects who had an early EGD were less likely to have hypovolemia, acute renal failure and acute respiratory failure. On multivariable analysis, we found that subjects without EGD were 3 times more likely to die during the admission than those with early EGD. In addition, those with late EGD had 50 % higher odds of dying than those with an early EGD. Also, after adjusting for all factors in the model, hospital stay was on average 3 and 3.7 days longer for subjects with no or late EGD, respectively, then for subjects with early EGD. Conclusion Early EGD (within 24 hours) is associated with lower in-hospital mortality, morbidity, shorter length of stay and lower total hospital costs. PMID:28512647