Sample records for medication error data-sharing

  1. Potential benefit of electronic pharmacy claims data to prevent medication history errors and resultant inpatient order errors

    PubMed Central

    Palmer, Katherine A; Shane, Rita; Wu, Cindy N; Bell, Douglas S; Diaz, Frank; Cook-Wiens, Galen; Jackevicius, Cynthia A

    2016-01-01

    Objective We sought to assess the potential of a widely available source of electronic medication data to prevent medication history errors and resultant inpatient order errors. Methods We used admission medication history (AMH) data from a recent clinical trial that identified 1017 AMH errors and 419 resultant inpatient order errors among 194 hospital admissions of predominantly older adult patients on complex medication regimens. Among the subset of patients for whom we could access current Surescripts electronic pharmacy claims data (SEPCD), two pharmacists independently assessed error severity and our main outcome, which was whether SEPCD (1) was unrelated to the medication error; (2) probably would not have prevented the error; (3) might have prevented the error; or (4) probably would have prevented the error. Results Seventy patients had both AMH errors and current, accessible SEPCD. SEPCD probably would have prevented 110 (35%) of 315 AMH errors and 46 (31%) of 147 resultant inpatient order errors. When we excluded the least severe medication errors, SEPCD probably would have prevented 99 (47%) of 209 AMH errors and 37 (61%) of 61 resultant inpatient order errors. SEPCD probably would have prevented at least one AMH error in 42 (60%) of 70 patients. Conclusion When current SEPCD was available for older adult patients on complex medication regimens, it had substantial potential to prevent AMH errors and resultant inpatient order errors, with greater potential to prevent more severe errors. Further study is needed to measure the benefit of SEPCD in actual use at hospital admission. PMID:26911817

  2. Medical Errors Reduction Initiative

    DTIC Science & Technology

    2005-05-01

    working with great success to minimize error. 14. SUBJECT TERMS 15. NUMBER OF PAGES Medical Error, Patient Safety, Personal Data Terminal, Barcodes, 9...AD Award Number: W81XWH-04-1-0536 TITLE: Medical Errors Reduction Initiative PRINCIPAL INVESTIGATOR: Michael L. Mutter 1To CONTRACTING ORGANIZATION...The Valley Hospital Ridgewood, NJ 07450 REPORT DATE: May 2005 TYPE OF REPORT: Annual PREPARED FOR: U.S. Army Medical Research and Materiel Command

  3. Designing an algorithm to preserve privacy for medical record linkage with error-prone data.

    PubMed

    Pal, Doyel; Chen, Tingting; Zhong, Sheng; Khethavath, Praveen

    2014-01-20

    Linking medical records across different medical service providers is important to the enhancement of health care quality and public health surveillance. In records linkage, protecting the patients' privacy is a primary requirement. In real-world health care databases, records may well contain errors due to various reasons such as typos. Linking the error-prone data and preserving data privacy at the same time are very difficult. Existing privacy preserving solutions for this problem are only restricted to textual data. To enable different medical service providers to link their error-prone data in a private way, our aim was to provide a holistic solution by designing and developing a medical record linkage system for medical service providers. To initiate a record linkage, one provider selects one of its collaborators in the Connection Management Module, chooses some attributes of the database to be matched, and establishes the connection with the collaborator after the negotiation. In the Data Matching Module, for error-free data, our solution offered two different choices for cryptographic schemes. For error-prone numerical data, we proposed a newly designed privacy preserving linking algorithm named the Error-Tolerant Linking Algorithm, that allows the error-prone data to be correctly matched if the distance between the two records is below a threshold. We designed and developed a comprehensive and user-friendly software system that provides privacy preserving record linkage functions for medical service providers, which meets the regulation of Health Insurance Portability and Accountability Act. It does not require a third party and it is secure in that neither entity can learn the records in the other's database. Moreover, our novel Error-Tolerant Linking Algorithm implemented in this software can work well with error-prone numerical data. We theoretically proved the correctness and security of our Error-Tolerant Linking Algorithm. We have also fully

  4. Designing an Algorithm to Preserve Privacy for Medical Record Linkage With Error-Prone Data

    PubMed Central

    Pal, Doyel; Chen, Tingting; Khethavath, Praveen

    2014-01-01

    Background Linking medical records across different medical service providers is important to the enhancement of health care quality and public health surveillance. In records linkage, protecting the patients’ privacy is a primary requirement. In real-world health care databases, records may well contain errors due to various reasons such as typos. Linking the error-prone data and preserving data privacy at the same time are very difficult. Existing privacy preserving solutions for this problem are only restricted to textual data. Objective To enable different medical service providers to link their error-prone data in a private way, our aim was to provide a holistic solution by designing and developing a medical record linkage system for medical service providers. Methods To initiate a record linkage, one provider selects one of its collaborators in the Connection Management Module, chooses some attributes of the database to be matched, and establishes the connection with the collaborator after the negotiation. In the Data Matching Module, for error-free data, our solution offered two different choices for cryptographic schemes. For error-prone numerical data, we proposed a newly designed privacy preserving linking algorithm named the Error-Tolerant Linking Algorithm, that allows the error-prone data to be correctly matched if the distance between the two records is below a threshold. Results We designed and developed a comprehensive and user-friendly software system that provides privacy preserving record linkage functions for medical service providers, which meets the regulation of Health Insurance Portability and Accountability Act. It does not require a third party and it is secure in that neither entity can learn the records in the other’s database. Moreover, our novel Error-Tolerant Linking Algorithm implemented in this software can work well with error-prone numerical data. We theoretically proved the correctness and security of our Error

  5. Medication Errors: New EU Good Practice Guide on Risk Minimisation and Error Prevention.

    PubMed

    Goedecke, Thomas; Ord, Kathryn; Newbould, Victoria; Brosch, Sabine; Arlett, Peter

    2016-06-01

    A medication error is an unintended failure in the drug treatment process that leads to, or has the potential to lead to, harm to the patient. Reducing the risk of medication errors is a shared responsibility between patients, healthcare professionals, regulators and the pharmaceutical industry at all levels of healthcare delivery. In 2015, the EU regulatory network released a two-part good practice guide on medication errors to support both the pharmaceutical industry and regulators in the implementation of the changes introduced with the EU pharmacovigilance legislation. These changes included a modification of the 'adverse reaction' definition to include events associated with medication errors, and the requirement for national competent authorities responsible for pharmacovigilance in EU Member States to collaborate and exchange information on medication errors resulting in harm with national patient safety organisations. To facilitate reporting and learning from medication errors, a clear distinction has been made in the guidance between medication errors resulting in adverse reactions, medication errors without harm, intercepted medication errors and potential errors. This distinction is supported by an enhanced MedDRA(®) terminology that allows for coding all stages of the medication use process where the error occurred in addition to any clinical consequences. To better understand the causes and contributing factors, individual case safety reports involving an error should be followed-up with the primary reporter to gather information relevant for the conduct of root cause analysis where this may be appropriate. Such reports should also be summarised in periodic safety update reports and addressed in risk management plans. Any risk minimisation and prevention strategy for medication errors should consider all stages of a medicinal product's life-cycle, particularly the main sources and types of medication errors during product development. This article

  6. Learning mechanisms to limit medication administration errors.

    PubMed

    Drach-Zahavy, Anat; Pud, Dorit

    2010-04-01

    This paper is a report of a study conducted to identify and test the effectiveness of learning mechanisms applied by the nursing staff of hospital wards as a means of limiting medication administration errors. Since the influential report ;To Err Is Human', research has emphasized the role of team learning in reducing medication administration errors. Nevertheless, little is known about the mechanisms underlying team learning. Thirty-two hospital wards were randomly recruited. Data were collected during 2006 in Israel by a multi-method (observations, interviews and administrative data), multi-source (head nurses, bedside nurses) approach. Medication administration error was defined as any deviation from procedures, policies and/or best practices for medication administration, and was identified using semi-structured observations of nurses administering medication. Organizational learning was measured using semi-structured interviews with head nurses, and the previous year's reported medication administration errors were assessed using administrative data. The interview data revealed four learning mechanism patterns employed in an attempt to learn from medication administration errors: integrated, non-integrated, supervisory and patchy learning. Regression analysis results demonstrated that whereas the integrated pattern of learning mechanisms was associated with decreased errors, the non-integrated pattern was associated with increased errors. Supervisory and patchy learning mechanisms were not associated with errors. Superior learning mechanisms are those that represent the whole cycle of team learning, are enacted by nurses who administer medications to patients, and emphasize a system approach to data analysis instead of analysis of individual cases.

  7. [Responsibility due to medication errors in France: a study based on SHAM insurance data].

    PubMed

    Theissen, A; Orban, J-C; Fuz, F; Guerin, J-P; Flavin, P; Albertini, S; Maricic, S; Saquet, D; Niccolai, P

    2015-03-01

    The safe medication practices at the hospital constitute a major public health problem. Drug supply chain is a complex process, potentially source of errors and damages for the patient. SHAM insurances are the biggest French provider of medical liability insurances and a relevant source of data on the health care complications. The main objective of the study was to analyze the type and cause of medication errors declared to SHAM and having led to a conviction by a court. We did a retrospective study on insurance claims provided by SHAM insurances with a medication error and leading to a condemnation over a 6-year period (between 2005 and 2010). Thirty-one cases were analysed, 21 for scheduled activity and 10 for emergency activity. Consequences of claims were mostly serious (12 deaths, 14 serious complications, 5 simple complications). The types of medication errors were a drug monitoring error (11 cases), an administration error (5 cases), an overdose (6 cases), an allergy (4 cases), a contraindication (3 cases) and an omission (2 cases). Intravenous route of administration was involved in 19 of 31 cases (61%). The causes identified by the court expert were an error related to service organization (11), an error related to medical practice (11) or nursing practice (13). Only one claim was due to the hospital pharmacy. The claim related to drug supply chain is infrequent but potentially serious. These data should help strengthen quality approach in risk management. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

  8. Analysis of Medication Error Reports

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Whitney, Paul D.; Young, Jonathan; Santell, John

    In medicine, as in many areas of research, technological innovation and the shift from paper based information to electronic records has created a climate of ever increasing availability of raw data. There has been, however, a corresponding lag in our abilities to analyze this overwhelming mass of data, and classic forms of statistical analysis may not allow researchers to interact with data in the most productive way. This is true in the emerging area of patient safety improvement. Traditionally, a majority of the analysis of error and incident reports has been carried out based on an approach of data comparison,more » and starts with a specific question which needs to be answered. Newer data analysis tools have been developed which allow the researcher to not only ask specific questions but also to “mine” data: approach an area of interest without preconceived questions, and explore the information dynamically, allowing questions to be formulated based on patterns brought up by the data itself. Since 1991, United States Pharmacopeia (USP) has been collecting data on medication errors through voluntary reporting programs. USP’s MEDMARXsm reporting program is the largest national medication error database and currently contains well over 600,000 records. Traditionally, USP has conducted an annual quantitative analysis of data derived from “pick-lists” (i.e., items selected from a list of items) without an in-depth analysis of free-text fields. In this paper, the application of text analysis and data analysis tools used by Battelle to analyze the medication error reports already analyzed in the traditional way by USP is described. New insights and findings were revealed including the value of language normalization and the distribution of error incidents by day of the week. The motivation for this effort is to gain additional insight into the nature of medication errors to support improvements in medication safety.« less

  9. Medication errors of nurses and factors in refusal to report medication errors among nurses in a teaching medical center of iran in 2012.

    PubMed

    Mostafaei, Davoud; Barati Marnani, Ahmad; Mosavi Esfahani, Haleh; Estebsari, Fatemeh; Shahzaidi, Shiva; Jamshidi, Ensiyeh; Aghamiri, Seyed Samad

    2014-10-01

    About one third of unwanted reported medication consequences are due to medication errors, resulting in one-fifth of hospital injuries. The aim of this study was determined formal and informal medication errors of nurses and the level of importance of factors in refusal to report medication errors among nurses. The cross-sectional study was done on the nursing staff of Shohada Tajrish Hospital, Tehran, Iran in 2012. The data was gathered through a questionnaire, made by the researchers. The questionnaires' face and content validity was confirmed by experts and for measuring its reliability test-retest was used. The data was analyzed by descriptive statistics. We used SPSS for related statistical analyses. The most important factors in refusal to report medication errors respectively were: lack of medication error recording and reporting system in the hospital (3.3%), non-significant error reporting to hospital authorities and lack of appropriate feedback (3.1%), and lack of a clear definition for a medication error (3%). There were both formal and informal reporting of medication errors in this study. Factors pertaining to management in hospitals as well as the fear of the consequences of reporting are two broad fields among the factors that make nurses not report their medication errors. In this regard, providing enough education to nurses, boosting the job security for nurses, management support and revising related processes and definitions are some factors that can help decreasing medication errors and increasing their report in case of occurrence.

  10. MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain.

    PubMed

    Fan, Kai; Wang, Shangyang; Ren, Yanhui; Li, Hui; Yang, Yintang

    2018-06-21

    With the development of electronic information technology, electronic medical records (EMRs) have been a common way to store the patients' data in hospitals. They are stored in different hospitals' databases, even for the same patient. Therefore, it is difficult to construct a summarized EMR for one patient from multiple hospital databases due to the security and privacy concerns. Meanwhile, current EMRs systems lack a standard data management and sharing policy, making it difficult for pharmaceutical scientists to develop precise medicines based on data obtained under different policies. To solve the above problems, we proposed a blockchain-based information management system, MedBlock, to handle patients' information. In this scheme, the distributed ledger of MedBlock allows the efficient EMRs access and EMRs retrieval. The improved consensus mechanism achieves consensus of EMRs without large energy consumption and network congestion. In addition, MedBlock also exhibits high information security combining the customized access control protocols and symmetric cryptography. MedBlock can play an important role in the sensitive medical information sharing.

  11. Residents' Ratings of Their Clinical Supervision and Their Self-Reported Medical Errors: Analysis of Data From 2009.

    PubMed

    Baldwin, DeWitt C; Daugherty, Steven R; Ryan, Patrick M; Yaghmour, Nicholas A; Philibert, Ingrid

    2018-04-01

    Medical errors and patient safety are major concerns for the medical and medical education communities. Improving clinical supervision for residents is important in avoiding errors, yet little is known about how residents perceive the adequacy of their supervision and how this relates to medical errors and other education outcomes, such as learning and satisfaction. We analyzed data from a 2009 survey of residents in 4 large specialties regarding the adequacy and quality of supervision they receive as well as associations with self-reported data on medical errors and residents' perceptions of their learning environment. Residents' reports of working without adequate supervision were lower than data from a 1999 survey for all 4 specialties, and residents were least likely to rate "lack of supervision" as a problem. While few residents reported that they received inadequate supervision, problems with supervision were negatively correlated with sufficient time for clinical activities, overall ratings of the residency experience, and attending physicians as a source of learning. Problems with supervision were positively correlated with resident reports that they had made a significant medical error, had been belittled or humiliated, or had observed others falsifying medical records. Although working without supervision was not a pervasive problem in 2009, when it happened, it appeared to have negative consequences. The association between inadequate supervision and medical errors is of particular concern.

  12. Medical error and related factors during internship and residency.

    PubMed

    Ahmadipour, Habibeh; Nahid, Mortazavi

    2015-01-01

    It is difficult to determine the real incidence of medical errors due to the lack of a precise definition of errors, as well as the failure to report them under certain circumstances. We carried out a cross- sectional study in Kerman University of Medical Sciences, Iran in 2013. The participants were selected through the census method. The data were collected using a self-administered questionnaire, which consisted of questions on the participants' demographic data and questions on the medical errors committed. The data were analysed by SPSS 19. It was found that 270 participants had committed medical errors. There was no significant difference in the frequency of errors committed by interns and residents. In the case of residents, the most common error was misdiagnosis and in that of interns, errors related to history-taking and physical examination. Considering that medical errors are common in the clinical setting, the education system should train interns and residents to prevent the occurrence of errors. In addition, the system should develop a positive attitude among them so that they can deal better with medical errors.

  13. Anonymizing and Sharing Medical Text Records

    PubMed Central

    Li, Xiao-Bai; Qin, Jialun

    2017-01-01

    Health information technology has increased accessibility of health and medical data and benefited medical research and healthcare management. However, there are rising concerns about patient privacy in sharing medical and healthcare data. A large amount of these data are in free text form. Existing techniques for privacy-preserving data sharing deal largely with structured data. Current privacy approaches for medical text data focus on detection and removal of patient identifiers from the data, which may be inadequate for protecting privacy or preserving data quality. We propose a new systematic approach to extract, cluster, and anonymize medical text records. Our approach integrates methods developed in both data privacy and health informatics fields. The key novel elements of our approach include a recursive partitioning method to cluster medical text records based on the similarity of the health and medical information and a value-enumeration method to anonymize potentially identifying information in the text data. An experimental study is conducted using real-world medical documents. The results of the experiments demonstrate the effectiveness of the proposed approach. PMID:29569650

  14. GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.

    PubMed

    Doel, Tom; Shakir, Dzhoshkun I; Pratt, Rosalind; Aertsen, Michael; Moggridge, James; Bellon, Erwin; David, Anna L; Deprest, Jan; Vercauteren, Tom; Ourselin, Sébastien

    2017-02-01

    Clinical imaging data are essential for developing research software for computer-aided diagnosis, treatment planning and image-guided surgery, yet existing systems are poorly suited for data sharing between healthcare and academia: research systems rarely provide an integrated approach for data exchange with clinicians; hospital systems are focused towards clinical patient care with limited access for external researchers; and safe haven environments are not well suited to algorithm development. We have established GIFT-Cloud, a data and medical image sharing platform, to meet the needs of GIFT-Surg, an international research collaboration that is developing novel imaging methods for fetal surgery. GIFT-Cloud also has general applicability to other areas of imaging research. GIFT-Cloud builds upon well-established cross-platform technologies. The Server provides secure anonymised data storage, direct web-based data access and a REST API for integrating external software. The Uploader provides automated on-site anonymisation, encryption and data upload. Gateways provide a seamless process for uploading medical data from clinical systems to the research server. GIFT-Cloud has been implemented in a multi-centre study for fetal medicine research. We present a case study of placental segmentation for pre-operative surgical planning, showing how GIFT-Cloud underpins the research and integrates with the clinical workflow. GIFT-Cloud simplifies the transfer of imaging data from clinical to research institutions, facilitating the development and validation of medical research software and the sharing of results back to the clinical partners. GIFT-Cloud supports collaboration between multiple healthcare and research institutions while satisfying the demands of patient confidentiality, data security and data ownership. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  15. Evaluating a medical error taxonomy.

    PubMed

    Brixey, Juliana; Johnson, Todd R; Zhang, Jiajie

    2002-01-01

    Healthcare has been slow in using human factors principles to reduce medical errors. The Center for Devices and Radiological Health (CDRH) recognizes that a lack of attention to human factors during product development may lead to errors that have the potential for patient injury, or even death. In response to the need for reducing medication errors, the National Coordinating Council for Medication Errors Reporting and Prevention (NCC MERP) released the NCC MERP taxonomy that provides a standard language for reporting medication errors. This project maps the NCC MERP taxonomy of medication error to MedWatch medical errors involving infusion pumps. Of particular interest are human factors associated with medical device errors. The NCC MERP taxonomy of medication errors is limited in mapping information from MEDWATCH because of the focus on the medical device and the format of reporting.

  16. [Medication error management climate and perception for system use according to construction of medication error prevention system].

    PubMed

    Kim, Myoung Soo

    2012-08-01

    The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use. The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis. Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed. The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.

  17. Medication errors: an analysis comparing PHICO's closed claims data and PHICO's Event Reporting Trending System (PERTS).

    PubMed

    Benjamin, David M; Pendrak, Robert F

    2003-07-01

    Clinical pharmacologists are all dedicated to improving the use of medications and decreasing medication errors and adverse drug reactions. However, quality improvement requires that some significant parameters of quality be categorized, measured, and tracked to provide benchmarks to which future data (performance) can be compared. One of the best ways to accumulate data on medication errors and adverse drug reactions is to look at medical malpractice data compiled by the insurance industry. Using data from PHICO insurance company, PHICO's Closed Claims Data, and PHICO's Event Reporting Trending System (PERTS), this article examines the significance and trends of the claims and events reported between 1996 and 1998. Those who misread history are doomed to repeat the mistakes of the past. From a quality improvement perspective, the categorization of the claims and events is useful for reengineering integrated medication delivery, particularly in a hospital setting, and for redesigning drug administration protocols on low therapeutic index medications and "high-risk" drugs. Demonstrable evidence of quality improvement is being required by state laws and by accreditation agencies. The state of Florida requires that quality improvement data be posted quarterly on the Web sites of the health care facilities. Other states have followed suit. The insurance industry is concerned with costs, and medication errors cost money. Even excluding costs of litigation, an adverse drug reaction may cost up to $2500 in hospital resources, and a preventable medication error may cost almost $4700. To monitor costs and assess risk, insurance companies want to know what errors are made and where the system has broken down, permitting the error to occur. Recording and evaluating reliable data on adverse drug events is the first step in improving the quality of pharmacotherapy and increasing patient safety. Cost savings and quality improvement evolve on parallel paths. The PHICO data

  18. Knowledge of healthcare professionals about medication errors in hospitals

    PubMed Central

    Abdel-Latif, Mohamed M. M.

    2016-01-01

    Context: Medication errors are the most common types of medical errors in hospitals and leading cause of morbidity and mortality among patients. Aims: The aim of the present study was to assess the knowledge of healthcare professionals about medication errors in hospitals. Settings and Design: A self-administered questionnaire was distributed to randomly selected healthcare professionals in eight hospitals in Madinah, Saudi Arabia. Subjects and Methods: An 18-item survey was designed and comprised questions on demographic data, knowledge of medication errors, availability of reporting systems in hospitals, attitudes toward error reporting, causes of medication errors. Statistical Analysis Used: Data were analyzed with Statistical Package for the Social Sciences software Version 17. Results: A total of 323 of healthcare professionals completed the questionnaire with 64.6% response rate of 138 (42.72%) physicians, 34 (10.53%) pharmacists, and 151 (46.75%) nurses. A majority of the participants had a good knowledge about medication errors concept and their dangers on patients. Only 68.7% of them were aware of reporting systems in hospitals. Healthcare professionals revealed that there was no clear mechanism available for reporting of errors in most hospitals. Prescribing (46.5%) and administration (29%) errors were the main causes of errors. The most frequently encountered medication errors were anti-hypertensives, antidiabetics, antibiotics, digoxin, and insulin. Conclusions: This study revealed differences in the awareness among healthcare professionals toward medication errors in hospitals. The poor knowledge about medication errors emphasized the urgent necessity to adopt appropriate measures to raise awareness about medication errors in Saudi hospitals. PMID:27330261

  19. Whose data set is it anyway? Sharing raw data from randomized trials.

    PubMed

    Vickers, Andrew J

    2006-05-16

    Sharing of raw research data is common in many areas of medical research, genomics being perhaps the most well-known example. In the clinical trial community investigators routinely refuse to share raw data from a randomized trial without giving a reason. Data sharing benefits numerous research-related activities: reproducing analyses; testing secondary hypotheses; developing and evaluating novel statistical methods; teaching; aiding design of future trials; meta-analysis; and, possibly, preventing error, fraud and selective reporting. Clinical trialists, however, sometimes appear overly concerned with being scooped and with misrepresentation of their work. Both possibilities can be avoided with simple measures such as inclusion of the original trialists as co-authors on any publication resulting from data sharing. Moreover, if we treat any data set as belonging to the patients who comprise it, rather than the investigators, such concerns fall away. Technological developments, particularly the Internet, have made data sharing generally a trivial logistical problem. Data sharing should come to be seen as an inherent part of conducting a randomized trial, similar to the way in which we consider ethical review and publication of study results. Journals and funding bodies should insist that trialists make raw data available, for example, by publishing data on the Web. If the clinical trial community continues to fail with respect to data sharing, we will only strengthen the public perception that we do clinical trials to benefit ourselves, not our patients.

  20. Sharing Medical Data for Health Research: The Early Personal Health Record Experience

    PubMed Central

    Kaci, Liljana; Mandl, Kenneth D

    2010-01-01

    Background Engaging consumers in sharing information from personally controlled health records (PCHRs) for health research may promote goals of improving care and advancing public health consistent with the federal Health Information Technology for Economic and Clinical Health (HITECH) Act. Understanding consumer willingness to share data is critical to advancing this model. Objective The objective was to characterize consumer willingness to share PCHR data for health research and the conditions and contexts bearing on willingness to share. Methods A mixed method approach integrating survey and narrative data was used. Survey data were collected about attitudes toward sharing PCHR information for health research from early adopters (n = 151) of a live PCHR populated with medical records and self-reported behavioral and social data. Data were analyzed using descriptive statistics and logistic regression to characterize willingness, conditions for sharing, and variations by sociodemographic factors. Narrative data were collected through semistructured focus group and one-on-one interviews with a separate sample of community members (n = 30) following exposure to PCHR demonstrations. Two independent analysts coded narrative data for major and minor themes using a shared rubric of a priori defined codes and an iterative inductive process. Findings were triangulated with survey results to identify patterns. Results Of PHCR users, 138 out of 151 (91%) were willing to share medical information for health research with 89 (59%) favoring an opt-in sharing model. Willingness to share was conditioned by anonymity, research use, engagement with a trusted intermediary, transparency around PCHR access and use, and payment. Consumer-determined restrictions on content and timing of sharing may be prerequisites to sharing. Select differences in support for sharing under different conditions were observed across social groups. No gender differences were observed; however differences

  1. Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders.

    PubMed

    Burlison, Jonathan D; McDaniel, Robert B; Baker, Donald K; Hasan, Murad; Robertson, Jennifer J; Howard, Scott C; Hoffman, James M

    2018-01-01

    Previous research developed a new method for locating prescribing errors in rapidly discontinued electronic medication orders. Although effective, the prospective design of that research hinders its feasibility for regular use. Our objectives were to assess a method to retrospectively detect prescribing errors, to characterize the identified errors, and to identify potential improvement opportunities. Electronically submitted medication orders from 28 randomly selected days that were discontinued within 120 minutes of submission were reviewed and categorized as most likely errors, nonerrors, or not enough information to determine status. Identified errors were evaluated by amount of time elapsed from original submission to discontinuation, error type, staff position, and potential clinical significance. Pearson's chi-square test was used to compare rates of errors across prescriber types. In all, 147 errors were identified in 305 medication orders. The method was most effective for orders that were discontinued within 90 minutes. Duplicate orders were most common; physicians in training had the highest error rate ( p  < 0.001), and 24 errors were potentially clinically significant. None of the errors were voluntarily reported. It is possible to identify prescribing errors in rapidly discontinued medication orders by using retrospective methods that do not require interrupting prescribers to discuss order details. Future research could validate our methods in different clinical settings. Regular use of this measure could help determine the causes of prescribing errors, track performance, and identify and evaluate interventions to improve prescribing systems and processes. Schattauer GmbH Stuttgart.

  2. Moving beyond Bermuda: sharing data to build a medical information commons.

    PubMed

    Cook-Deegan, Robert; McGuire, Amy L

    2017-06-01

    The ubiquity of DNA sequencing and the advent of medical imaging, electronic health records, and "omics" technologies have produced a deluge of data. Making meaning of those data-creating scientific knowledge and useful clinical information-will vastly exceed the capacity of even the largest institutions. Data must be shared to achieve the promises of genomic science and precision medicine. © 2017 Cook-Deegan and McGuire; Published by Cold Spring Harbor Laboratory Press.

  3. Technology and medication errors: impact in nursing homes.

    PubMed

    Baril, Chantal; Gascon, Viviane; St-Pierre, Liette; Lagacé, Denis

    2014-01-01

    The purpose of this paper is to study a medication distribution technology's (MDT) impact on medication errors reported in public nursing homes in Québec Province. The work was carried out in six nursing homes (800 patients). Medication error data were collected from nursing staff through a voluntary reporting process before and after MDT was implemented. The errors were analysed using: totals errors; medication error type; severity and patient consequences. A statistical analysis verified whether there was a significant difference between the variables before and after introducing MDT. The results show that the MDT detected medication errors. The authors' analysis also indicates that errors are detected more rapidly resulting in less severe consequences for patients. MDT is a step towards safer and more efficient medication processes. Our findings should convince healthcare administrators to implement technology such as electronic prescriber or bar code medication administration systems to improve medication processes and to provide better healthcare to patients. Few studies have been carried out in long-term healthcare facilities such as nursing homes. The authors' study extends what is known about MDT's impact on medication errors in nursing homes.

  4. Medical Errors Reduction Initiative

    DTIC Science & Technology

    2009-03-01

    enough data was collected to have any statistical significance or determine impact on latent error in the process of blood transfusion. Bedside...of adverse drug events. JAMA 1995; 274: 35-43 . Leape, L.L., Brennan, T .A., & Laird, N .M. ( 1991) The nature of adverse events in hospitalized...Background Medical errors are a significant cause of morbidity and mortality among hospitalized patients (Kohn, Corrigan and Donaldson, 2000; Leape, Brennan

  5. Apologies and Medical Error

    PubMed Central

    2008-01-01

    One way in which physicians can respond to a medical error is to apologize. Apologies—statements that acknowledge an error and its consequences, take responsibility, and communicate regret for having caused harm—can decrease blame, decrease anger, increase trust, and improve relationships. Importantly, apologies also have the potential to decrease the risk of a medical malpractice lawsuit and can help settle claims by patients. Patients indicate they want and expect explanations and apologies after medical errors and physicians indicate they want to apologize. However, in practice, physicians tend to provide minimal information to patients after medical errors and infrequently offer complete apologies. Although fears about potential litigation are the most commonly cited barrier to apologizing after medical error, the link between litigation risk and the practice of disclosure and apology is tenuous. Other barriers might include the culture of medicine and the inherent psychological difficulties in facing one’s mistakes and apologizing for them. Despite these barriers, incorporating apology into conversations between physicians and patients can address the needs of both parties and can play a role in the effective resolution of disputes related to medical error. PMID:18972177

  6. Association between workarounds and medication administration errors in bar-code-assisted medication administration in hospitals.

    PubMed

    van der Veen, Willem; van den Bemt, Patricia M L A; Wouters, Hans; Bates, David W; Twisk, Jos W R; de Gier, Johan J; Taxis, Katja; Duyvendak, Michiel; Luttikhuis, Karen Oude; Ros, Johannes J W; Vasbinder, Erwin C; Atrafi, Maryam; Brasse, Bjorn; Mangelaars, Iris

    2018-04-01

    To study the association of workarounds with medication administration errors using barcode-assisted medication administration (BCMA), and to determine the frequency and types of workarounds and medication administration errors. A prospective observational study in Dutch hospitals using BCMA to administer medication. Direct observation was used to collect data. Primary outcome measure was the proportion of medication administrations with one or more medication administration errors. Secondary outcome was the frequency and types of workarounds and medication administration errors. Univariate and multivariate multilevel logistic regression analysis were used to assess the association between workarounds and medication administration errors. Descriptive statistics were used for the secondary outcomes. We included 5793 medication administrations for 1230 inpatients. Workarounds were associated with medication administration errors (adjusted odds ratio 3.06 [95% CI: 2.49-3.78]). Most commonly, procedural workarounds were observed, such as not scanning at all (36%), not scanning patients because they did not wear a wristband (28%), incorrect medication scanning, multiple medication scanning, and ignoring alert signals (11%). Common types of medication administration errors were omissions (78%), administration of non-ordered drugs (8.0%), and wrong doses given (6.0%). Workarounds are associated with medication administration errors in hospitals using BCMA. These data suggest that BCMA needs more post-implementation evaluation if it is to achieve the intended benefits for medication safety. In hospitals using barcode-assisted medication administration, workarounds occurred in 66% of medication administrations and were associated with large numbers of medication administration errors.

  7. Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations

    PubMed Central

    Ahn, David K; Unde, Bhagyashree; Gage, H Donald; Carr, J Jeffrey

    2013-01-01

    Background Current image sharing is carried out by manual transportation of CDs by patients or organization-coordinated sharing networks. The former places a significant burden on patients and providers. The latter faces challenges to patient privacy. Objective To allow healthcare providers efficient access to medical imaging data acquired at other unaffiliated healthcare facilities while ensuring strong protection of patient privacy and minimizing burden on patients, providers, and the information technology infrastructure. Methods An image sharing framework is described that involves patients as an integral part of, and with full control of, the image sharing process. Central to this framework is the Patient Controlled Access-key REgistry (PCARE) which manages the access keys issued by image source facilities. When digitally signed by patients, the access keys are used by any requesting facility to retrieve the associated imaging data from the source facility. A centralized patient portal, called a PCARE patient control portal, allows patients to manage all the access keys in PCARE. Results A prototype of the PCARE framework has been developed by extending open-source technology. The results for feasibility, performance, and user assessments are encouraging and demonstrate the benefits of patient-controlled image sharing. Discussion The PCARE framework is effective in many important clinical cases of image sharing and can be used to integrate organization-coordinated sharing networks. The same framework can also be used to realize a longitudinal virtual electronic health record. Conclusion The PCARE framework allows prior imaging data to be shared among unaffiliated healthcare facilities while protecting patient privacy with minimal burden on patients, providers, and infrastructure. A prototype has been implemented to demonstrate the feasibility and benefits of this approach. PMID:22886546

  8. Long-term care physical environments--effect on medication errors.

    PubMed

    Mahmood, Atiya; Chaudhury, Habib; Gaumont, Alana; Rust, Tiana

    2012-01-01

    Few studies examine physical environmental factors and their effects on staff health, effectiveness, work errors and job satisfaction. To address this gap, this study aims to examine environmental features and their role in medication and nursing errors in long-term care facilities. A mixed methodological strategy was used. Data were collected via focus groups, observing medication preparation and administration, and a nursing staff survey in four facilities. The paper reveals that, during the medication preparation phase, physical design, such as medication room layout, is a major source of potential errors. During medication administration, social environment is more likely to contribute to errors. Interruptions, noise and staff shortages were particular problems. The survey's relatively small sample size needs to be considered when interpreting the findings. Also, actual error data could not be included as existing records were incomplete. The study offers several relatively low-cost recommendations to help staff reduce medication errors. Physical environmental factors are important when addressing measures to reduce errors. The findings of this study underscore the fact that the physical environment's influence on the possibility of medication errors is often neglected. This study contributes to the scarce empirical literature examining the relationship between physical design and patient safety.

  9. Barriers to medication error reporting among hospital nurses.

    PubMed

    Rutledge, Dana N; Retrosi, Tina; Ostrowski, Gary

    2018-03-01

    errors, especially errors where patient harm is not apparent or where an error might be hidden. Such under-reporting impedes collection of accurate medication error data and prevents hospitals from changing harmful practices. © 2018 John Wiley & Sons Ltd.

  10. Medication errors: an overview for clinicians.

    PubMed

    Wittich, Christopher M; Burkle, Christopher M; Lanier, William L

    2014-08-01

    Medication error is an important cause of patient morbidity and mortality, yet it can be a confusing and underappreciated concept. This article provides a review for practicing physicians that focuses on medication error (1) terminology and definitions, (2) incidence, (3) risk factors, (4) avoidance strategies, and (5) disclosure and legal consequences. A medication error is any error that occurs at any point in the medication use process. It has been estimated by the Institute of Medicine that medication errors cause 1 of 131 outpatient and 1 of 854 inpatient deaths. Medication factors (eg, similar sounding names, low therapeutic index), patient factors (eg, poor renal or hepatic function, impaired cognition, polypharmacy), and health care professional factors (eg, use of abbreviations in prescriptions and other communications, cognitive biases) can precipitate medication errors. Consequences faced by physicians after medication errors can include loss of patient trust, civil actions, criminal charges, and medical board discipline. Methods to prevent medication errors from occurring (eg, use of information technology, better drug labeling, and medication reconciliation) have been used with varying success. When an error is discovered, patients expect disclosure that is timely, given in person, and accompanied with an apology and communication of efforts to prevent future errors. Learning more about medication errors may enhance health care professionals' ability to provide safe care to their patients. Copyright © 2014 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

  11. Evaluating the Effective Factors for Reporting Medical Errors among Midwives Working at Teaching Hospitals Affiliated to Isfahan University of Medical Sciences.

    PubMed

    Khorasani, Fahimeh; Beigi, Marjan

    2017-01-01

    Recently, evaluation and accreditation system of hospitals has had a special emphasis on reporting malpractices and sharing errors or lessons learnt from errors, but still due to lack of promotion of systematic approach for solving problems from the same system, this issue has remained unattended. This study was conducted to determine the effective factors for reporting medical errors among midwives. This project was a descriptive cross-sectional observational study. Data gathering tools were a standard checklist and two researcher-made questionnaires. Sampling for this study was conducted from all the midwives who worked at teaching hospitals affiliated to Isfahan University of Medical Sciences through census method (convenient) and lasted for 3 months. Data were analyzed using descriptive and inferential statistics through SPSS 16. Results showed that 79.1% of the staff reported errors and the highest rate of errors was in the process of patients' tests. In this study, the mean score of midwives' knowledge about the errors was 79.1 and the mean score of their attitude toward reporting errors was 70.4. There was a direct relation between the score of errors' knowledge and attitude in the midwifery staff and reporting errors. Based on the results of this study about the appropriate knowledge and attitude of midwifery staff regarding errors and action toward reporting them, it is recommended to strengthen the system when it comes to errors and hospitals risks.

  12. Hospital medication errors in a pharmacovigilance system in Colombia.

    PubMed

    Machado Alba, Jorge Enrique; Moreno Gutiérrez, Paula Andrea; Moncada Escobar, Juan Carlos

    2015-11-01

    this study analyzes the medication errors reported to a pharmacovigilance system by 26 hospitals for patients in the healthcare system of Colombia. this retrospective study analyzed the medication errors reported to a systematized database between 1 January 2008 and 12 September 2013. The medication is dispensed by the company Audifarma S.A. to hospitals and clinics around Colombia. Data were classified according to the taxonomy of the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP). The data analysis was performed using SPSS 22.0 for Windows, considering p-values < 0.05 significant. there were 9 062 medication errors in 45 hospital pharmacies. Real errors accounted for 51.9% (n = 4 707), of which 12.0% (n = 567) reached the patient (Categories C to I) and caused harm (Categories E to I) to 17 subjects (0.36%). The main process involved in errors that occurred (categories B to I) was prescription (n = 1 758, 37.3%), followed by dispensation (n = 1 737, 36.9%), transcription (n = 970, 20.6%) and administration (n = 242, 5.1%). The errors in the administration process were 45.2 times more likely to reach the patient (CI 95%: 20.2-100.9). medication error reporting systems and prevention strategies should be widespread in hospital settings, prioritizing efforts to address the administration process. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  13. A cognitive taxonomy of medical errors.

    PubMed

    Zhang, Jiajie; Patel, Vimla L; Johnson, Todd R; Shortliffe, Edward H

    2004-06-01

    Propose a cognitive taxonomy of medical errors at the level of individuals and their interactions with technology. Use cognitive theories of human error and human action to develop the theoretical foundations of the taxonomy, develop the structure of the taxonomy, populate the taxonomy with examples of medical error cases, identify cognitive mechanisms for each category of medical error under the taxonomy, and apply the taxonomy to practical problems. Four criteria were used to evaluate the cognitive taxonomy. The taxonomy should be able (1) to categorize major types of errors at the individual level along cognitive dimensions, (2) to associate each type of error with a specific underlying cognitive mechanism, (3) to describe how and explain why a specific error occurs, and (4) to generate intervention strategies for each type of error. The proposed cognitive taxonomy largely satisfies the four criteria at a theoretical and conceptual level. Theoretically, the proposed cognitive taxonomy provides a method to systematically categorize medical errors at the individual level along cognitive dimensions, leads to a better understanding of the underlying cognitive mechanisms of medical errors, and provides a framework that can guide future studies on medical errors. Practically, it provides guidelines for the development of cognitive interventions to decrease medical errors and foundation for the development of medical error reporting system that not only categorizes errors but also identifies problems and helps to generate solutions. To validate this model empirically, we will next be performing systematic experimental studies.

  14. Secure medical information sharing in cloud computing.

    PubMed

    Shao, Zhiyi; Yang, Bo; Zhang, Wenzheng; Zhao, Yi; Wu, Zhenqiang; Miao, Meixia

    2015-01-01

    Medical information sharing is one of the most attractive applications of cloud computing, where searchable encryption is a fascinating solution for securely and conveniently sharing medical data among different medical organizers. However, almost all previous works are designed in symmetric key encryption environment. The only works in public key encryption do not support keyword trapdoor security, have long ciphertext related to the number of receivers, do not support receiver revocation without re-encrypting, and do not preserve the membership of receivers. In this paper, we propose a searchable encryption supporting multiple receivers for medical information sharing based on bilinear maps in public key encryption environment. In the proposed protocol, data owner stores only one copy of his encrypted file and its corresponding encrypted keywords on cloud for multiple designated receivers. The keyword ciphertext is significantly shorter and its length is constant without relation to the number of designated receivers, i.e., for n receivers the ciphertext length is only twice the element length in the group. Only the owner knows that with whom his data is shared, and the access to his data is still under control after having been put on the cloud. We formally prove the security of keyword ciphertext based on the intractability of Bilinear Diffie-Hellman problem and the keyword trapdoor based on Decisional Diffie-Hellman problem.

  15. Your Health Care May Kill You: Medical Errors.

    PubMed

    Anderson, James G; Abrahamson, Kathleen

    2017-01-01

    Recent studies of medical errors have estimated errors may account for as many as 251,000 deaths annually in the United States (U.S)., making medical errors the third leading cause of death. Error rates are significantly higher in the U.S. than in other developed countries such as Canada, Australia, New Zealand, Germany and the United Kingdom (U.K). At the same time less than 10 percent of medical errors are reported. This study describes the results of an investigation of the effectiveness of the implementation of the MEDMARX Medication Error Reporting system in 25 hospitals in Pennsylvania. Data were collected on 17,000 errors reported by participating hospitals over a 12-month period. Latent growth curve analysis revealed that reporting of errors by health care providers increased significantly over the four quarters. At the same time, the proportion of corrective actions taken by the hospitals remained relatively constant over the 12 months. A simulation model was constructed to examine the effect of potential organizational changes resulting from error reporting. Four interventions were simulated. The results suggest that improving patient safety requires more than voluntary reporting. Organizational changes need to be implemented and institutionalized as well.

  16. An intravenous medication safety system: preventing high-risk medication errors at the point of care.

    PubMed

    Hatcher, Irene; Sullivan, Mark; Hutchinson, James; Thurman, Susan; Gaffney, F Andrew

    2004-10-01

    Improving medication safety at the point of care--particularly for high-risk drugs--is a major concern of nursing administrators. The medication errors most likely to cause harm are administration errors related to infusion of high-risk medications. An intravenous medication safety system is designed to prevent high-risk infusion medication errors and to capture continuous quality improvement data for best practice improvement. Initial testing with 50 systems in 2 units at Vanderbilt University Medical Center revealed that, even in the presence of a fully mature computerized prescriber order-entry system, the new safety system averted 99 potential infusion errors in 8 months.

  17. Practicing what we preach: developing a data sharing policy for the Journal of the Medical Library Association.

    PubMed

    Read, Kevin B; Amos, Liz; Federer, Lisa M; Logan, Ayaba; Plutchak, T Scott; Akers, Katherine G

    2018-04-01

    Providing access to the data underlying research results in published literature allows others to reproduce those results or analyze the data in new ways. Health sciences librarians and information professionals have long been advocates of data sharing. It is time for us to practice what we preach and share the data associated with our published research. This editorial describes the activity of a working group charged with developing a research data sharing policy for the Journal of the Medical Library Association.

  18. Practicing what we preach: developing a data sharing policy for the Journal of the Medical Library Association

    PubMed Central

    Read, Kevin B.; Amos, Liz; Federer, Lisa M.; Logan, Ayaba; Plutchak, T. Scott; Akers, Katherine G.

    2018-01-01

    Providing access to the data underlying research results in published literature allows others to reproduce those results or analyze the data in new ways. Health sciences librarians and information professionals have long been advocates of data sharing. It is time for us to practice what we preach and share the data associated with our published research. This editorial describes the activity of a working group charged with developing a research data sharing policy for the Journal of the Medical Library Association. PMID:29632437

  19. Medical students' experiences with medical errors: an analysis of medical student essays.

    PubMed

    Martinez, William; Lo, Bernard

    2008-07-01

    This study aimed to examine medical students' experiences with medical errors. In 2001 and 2002, 172 fourth-year medical students wrote an anonymous description of a significant medical error they had witnessed or committed during their clinical clerkships. The assignment represented part of a required medical ethics course. We analysed 147 of these essays using thematic content analysis. Many medical students made or observed significant errors. In either situation, some students experienced distress that seemingly went unaddressed. Furthermore, this distress was sometimes severe and persisted after the initial event. Some students also experienced considerable uncertainty as to whether an error had occurred and how to prevent future errors. Many errors may not have been disclosed to patients, and some students who desired to discuss or disclose errors were apparently discouraged from doing so by senior doctors. Some students criticised senior doctors who attempted to hide errors or avoid responsibility. By contrast, students who witnessed senior doctors take responsibility for errors and candidly disclose errors to patients appeared to recognise the importance of honesty and integrity and said they aspired to these standards. There are many missed opportunities to teach students how to respond to and learn from errors. Some faculty members and housestaff may at times respond to errors in ways that appear to contradict professional standards. Medical educators should increase exposure to exemplary responses to errors and help students to learn from and cope with errors.

  20. Rate, causes and reporting of medication errors in Jordan: nurses' perspectives.

    PubMed

    Mrayyan, Majd T; Shishani, Kawkab; Al-Faouri, Ibrahim

    2007-09-01

    The aim of the study was to describe Jordanian nurses' perceptions about various issues related to medication errors. This is the first nursing study about medication errors in Jordan. This was a descriptive study. A convenient sample of 799 nurses from 24 hospitals was obtained. Descriptive and inferential statistics were used for data analysis. Over the course of their nursing career, the average number of recalled committed medication errors per nurse was 2.2. Using incident reports, the rate of medication errors reported to nurse managers was 42.1%. Medication errors occurred mainly when medication labels/packaging were of poor quality or damaged. Nurses failed to report medication errors because they were afraid that they might be subjected to disciplinary actions or even lose their jobs. In the stepwise regression model, gender was the only predictor of medication errors in Jordan. Strategies to reduce or eliminate medication errors are required.

  1. Prevention of medication errors: detection and audit.

    PubMed

    Montesi, Germana; Lechi, Alessandro

    2009-06-01

    1. Medication errors have important implications for patient safety, and their identification is a main target in improving clinical practice errors, in order to prevent adverse events. 2. Error detection is the first crucial step. Approaches to this are likely to be different in research and routine care, and the most suitable must be chosen according to the setting. 3. The major methods for detecting medication errors and associated adverse drug-related events are chart review, computerized monitoring, administrative databases, and claims data, using direct observation, incident reporting, and patient monitoring. All of these methods have both advantages and limitations. 4. Reporting discloses medication errors, can trigger warnings, and encourages the diffusion of a culture of safe practice. Combining and comparing data from various and encourages the diffusion of a culture of safe practice sources increases the reliability of the system. 5. Error prevention can be planned by means of retroactive and proactive tools, such as audit and Failure Mode, Effect, and Criticality Analysis (FMECA). Audit is also an educational activity, which promotes high-quality care; it should be carried out regularly. In an audit cycle we can compare what is actually done against reference standards and put in place corrective actions to improve the performances of individuals and systems. 6. Patient safety must be the first aim in every setting, in order to build safer systems, learning from errors and reducing the human and fiscal costs.

  2. Effects of sharing information on drug administration errors in pediatric wards: a pre–post intervention study

    PubMed Central

    Chua, Siew-Siang; Choo, Sim-Mei; Sulaiman, Che Zuraini; Omar, Asma; Thong, Meow-Keong

    2017-01-01

    Background and purpose Drug administration errors are more likely to reach the patient than other medication errors. The main aim of this study was to determine whether the sharing of information on drug administration errors among health care providers would reduce such problems. Patients and methods This study involved direct, undisguised observations of drug administrations in two pediatric wards of a major teaching hospital in Kuala Lumpur, Malaysia. This study consisted of two phases: Phase 1 (pre-intervention) and Phase 2 (post-intervention). Data were collected by two observers over a 40-day period in both Phase 1 and Phase 2 of the study. Both observers were pharmacy graduates: Observer 1 just completed her undergraduate pharmacy degree, whereas Observer 2 was doing her one-year internship as a provisionally registered pharmacist in the hospital under study. A drug administration error was defined as a discrepancy between the drug regimen received by the patient and that intended by the prescriber and also drug administration procedures that did not follow standard hospital policies and procedures. Results from Phase 1 of the study were analyzed, presented and discussed with the ward staff before commencement of data collection in Phase 2. Results A total of 1,284 and 1,401 doses of drugs were administered in Phase 1 and Phase 2, respectively. The rate of drug administration errors reduced significantly from Phase 1 to Phase 2 (44.3% versus 28.6%, respectively; P<0.001). Logistic regression analysis showed that the adjusted odds of drug administration errors in Phase 1 of the study were almost three times that in Phase 2 (P<0.001). The most common types of errors were incorrect administration technique and incorrect drug preparation. Nasogastric and intravenous routes of drug administration contributed significantly to the rate of drug administration errors. Conclusion This study showed that sharing of the types of errors that had occurred was significantly

  3. An overview of intravenous-related medication administration errors as reported to MEDMARX, a national medication error-reporting program.

    PubMed

    Hicks, Rodney W; Becker, Shawn C

    2006-01-01

    Medication errors can be harmful, especially if they involve the intravenous (IV) route of administration. A mixed-methodology study using a 5-year review of 73,769 IV-related medication errors from a national medication error reporting program indicates that between 3% and 5% of these errors were harmful. The leading type of error was omission, and the leading cause of error involved clinician performance deficit. Using content analysis, three themes-product shortage, calculation errors, and tubing interconnectivity-emerge and appear to predispose patients to harm. Nurses often participate in IV therapy, and these findings have implications for practice and patient safety. Voluntary medication error-reporting programs afford an opportunity to improve patient care and to further understanding about the nature of IV-related medication errors.

  4. Prescribing Errors Involving Medication Dosage Forms

    PubMed Central

    Lesar, Timothy S

    2002-01-01

    CONTEXT Prescribing errors involving medication dose formulations have been reported to occur frequently in hospitals. No systematic evaluations of the characteristics of errors related to medication dosage formulation have been performed. OBJECTIVE To quantify the characteristics, frequency, and potential adverse patient effects of prescribing errors involving medication dosage forms . DESIGN Evaluation of all detected medication prescribing errors involving or related to medication dosage forms in a 631-bed tertiary care teaching hospital. MAIN OUTCOME MEASURES Type, frequency, and potential for adverse effects of prescribing errors involving or related to medication dosage forms. RESULTS A total of 1,115 clinically significant prescribing errors involving medication dosage forms were detected during the 60-month study period. The annual number of detected errors increased throughout the study period. Detailed analysis of the 402 errors detected during the last 16 months of the study demonstrated the most common errors to be: failure to specify controlled release formulation (total of 280 cases; 69.7%) both when prescribing using the brand name (148 cases; 36.8%) and when prescribing using the generic name (132 cases; 32.8%); and prescribing controlled delivery formulations to be administered per tube (48 cases; 11.9%). The potential for adverse patient outcome was rated as potentially “fatal or severe” in 3 cases (0.7%), and “serious” in 49 cases (12.2%). Errors most commonly involved cardiovascular agents (208 cases; 51.7%). CONCLUSIONS Hospitalized patients are at risk for adverse outcomes due to prescribing errors related to inappropriate use of medication dosage forms. This information should be considered in the development of strategies to prevent adverse patient outcomes resulting from such errors. PMID:12213138

  5. Secure and Trustable Electronic Medical Records Sharing using Blockchain.

    PubMed

    Dubovitskaya, Alevtina; Xu, Zhigang; Ryu, Samuel; Schumacher, Michael; Wang, Fusheng

    2017-01-01

    Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost.

  6. Secure and Trustable Electronic Medical Records Sharing using Blockchain

    PubMed Central

    Dubovitskaya, Alevtina; Xu, Zhigang; Ryu, Samuel; Schumacher, Michael; Wang, Fusheng

    2017-01-01

    Electronic medical records (EMRs) are critical, highly sensitive private information in healthcare, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we present our perspectives on blockchain based healthcare data management, in particular, for EMR data sharing between healthcare providers and for research studies. We propose a framework on managing and sharing EMR data for cancer patient care. In collaboration with Stony Brook University Hospital, we implemented our framework in a prototype that ensures privacy, security, availability, and fine-grained access control over EMR data. The proposed work can significantly reduce the turnaround time for EMR sharing, improve decision making for medical care, and reduce the overall cost. PMID:29854130

  7. Nurses' attitude and intention of medication administration error reporting.

    PubMed

    Hung, Chang-Chiao; Chu, Tsui-Ping; Lee, Bih-O; Hsiao, Chia-Chi

    2016-02-01

    The Aims of this study were to explore the effects of nurses' attitudes and intentions regarding medication administration error reporting on actual reporting behaviours. Underreporting of medication errors is still a common occurrence. Whether attitude and intention towards medication administration error reporting connect to actual reporting behaviours remain unclear. This study used a cross-sectional design with self-administered questionnaires, and the theory of planned behaviour was used as the framework for this study. A total of 596 staff nurses who worked in general wards and intensive care units in a hospital were invited to participate in this study. The researchers used the instruments measuring nurses' attitude, nurse managers' and co-workers' attitude, report control, and nurses' intention to predict nurses' actual reporting behaviours. Data were collected from September-November 2013. Path analyses were used to examine the hypothesized model. Of the 596 nurses invited to participate, 548 (92%) completed and returned a valid questionnaire. The findings indicated that nurse managers' and co-workers' attitudes are predictors for nurses' attitudes towards medication administration error reporting. Nurses' attitudes also influenced their intention to report medication administration errors; however, no connection was found between intention and actual reporting behaviour. The findings reflected links among colleague perspectives, nurses' attitudes, and intention to report medication administration errors. The researchers suggest that hospitals should increase nurses' awareness and recognition of error occurrence. Regardless of nurse managers' and co-workers' attitudes towards medication administration error reporting, nurses are likely to report medication administration errors if they detect them. Management of medication administration errors should focus on increasing nurses' awareness and recognition of error occurrence. © 2015 John Wiley & Sons Ltd.

  8. MEDICAL ERROR: CIVIL AND LEGAL ASPECT.

    PubMed

    Buletsa, S; Drozd, O; Yunin, O; Mohilevskyi, L

    2018-03-01

    The scientific article is focused on the research of the notion of medical error, medical and legal aspects of this notion have been considered. The necessity of the legislative consolidation of the notion of «medical error» and criteria of its legal estimation have been grounded. In the process of writing a scientific article, we used the empirical method, general scientific and comparative legal methods. A comparison of the concept of medical error in civil and legal aspects was made from the point of view of Ukrainian, European and American scientists. It has been marked that the problem of medical errors is known since ancient times and in the whole world, in fact without regard to the level of development of medicine, there is no country, where doctors never make errors. According to the statistics, medical errors in the world are included in the first five reasons of death rate. At the same time the grant of medical services practically concerns all people. As a man and his life, health in Ukraine are acknowledged by a higher social value, medical services must be of high-quality and effective. The grant of not quality medical services causes harm to the health, and sometimes the lives of people; it may result in injury or even death. The right to the health protection is one of the fundamental human rights assured by the Constitution of Ukraine; therefore the issue of medical errors and liability for them is extremely relevant. The authors make conclusions, that the definition of the notion of «medical error» must get the legal consolidation. Besides, the legal estimation of medical errors must be based on the single principles enshrined in the legislation and confirmed by judicial practice.

  9. Medication safety initiative in reducing medication errors.

    PubMed

    Nguyen, Elisa E; Connolly, Phyllis M; Wong, Vivian

    2010-01-01

    The purpose of the study was to evaluate whether a Medication Pass Time Out initiative was effective and sustainable in reducing medication administration errors. A retrospective descriptive method was used for this research, where a structured Medication Pass Time Out program was implemented following staff and physician education. As a result, the rate of interruptions during the medication administration process decreased from 81% to 0. From the observations at baseline, 6 months, and 1 year after implementation, the percent of doses of medication administered without interruption improved from 81% to 99%. Medication doses administered without errors at baseline, 6 months, and 1 year improved from 98% to 100%.

  10. Views of Ethical Best Practices in Sharing Individual-Level Data From Medical and Public Health Research

    PubMed Central

    Roberts, Nia; Parker, Michael

    2015-01-01

    There is increasing support for sharing individual-level data generated by medical and public health research. This scoping review of empirical research and conceptual literature examined stakeholders’ perspectives of ethical best practices in data sharing, particularly in low- and middle-income settings. Sixty-nine empirical and conceptual articles were reviewed, of which, only five were empirical studies and eight were conceptual articles focusing on low- and middle-income settings. We conclude that support for sharing individual-level data is contingent on the development and implementation of international and local policies and processes to support ethical best practices. Further conceptual and empirical research is needed to ensure data sharing policies and processes in low- and middle-income settings are appropriately informed by stakeholders’ perspectives. PMID:26297745

  11. Refractive errors in medical students in Singapore.

    PubMed

    Woo, W W; Lim, K A; Yang, H; Lim, X Y; Liew, F; Lee, Y S; Saw, S M

    2004-10-01

    Refractive errors are becoming more of a problem in many societies, with prevalence rates of myopia in many Asian urban countries reaching epidemic proportions. This study aims to determine the prevalence rates of various refractive errors in Singapore medical students. 157 second year medical students (aged 19-23 years) in Singapore were examined. Refractive error measurements were determined using a stand-alone autorefractor. Additional demographical data was obtained via questionnaires filled in by the students. The prevalence rate of myopia in Singapore medical students was 89.8 percent (Spherical equivalence (SE) at least -0.50 D). Hyperopia was present in 1.3 percent (SE more than +0.50 D) of the participants and the overall astigmatism prevalence rate was 82.2 percent (Cylinder at least 0.50 D). Prevalence rates of myopia and astigmatism in second year Singapore medical students are one of the highest in the world.

  12. Eliminating US hospital medical errors.

    PubMed

    Kumar, Sameer; Steinebach, Marc

    2008-01-01

    Healthcare costs in the USA have continued to rise steadily since the 1980s. Medical errors are one of the major causes of deaths and injuries of thousands of patients every year, contributing to soaring healthcare costs. The purpose of this study is to examine what has been done to deal with the medical-error problem in the last two decades and present a closed-loop mistake-proof operation system for surgery processes that would likely eliminate preventable medical errors. The design method used is a combination of creating a service blueprint, implementing the six sigma DMAIC cycle, developing cause-and-effect diagrams as well as devising poka-yokes in order to develop a robust surgery operation process for a typical US hospital. In the improve phase of the six sigma DMAIC cycle, a number of poka-yoke techniques are introduced to prevent typical medical errors (identified through cause-and-effect diagrams) that may occur in surgery operation processes in US hospitals. It is the authors' assertion that implementing the new service blueprint along with the poka-yokes, will likely result in the current medical error rate to significantly improve to the six-sigma level. Additionally, designing as many redundancies as possible in the delivery of care will help reduce medical errors. Primary healthcare providers should strongly consider investing in adequate doctor and nurse staffing, and improving their education related to the quality of service delivery to minimize clinical errors. This will lead to an increase in higher fixed costs, especially in the shorter time frame. This paper focuses additional attention needed to make a sound technical and business case for implementing six sigma tools to eliminate medical errors that will enable hospital managers to increase their hospital's profitability in the long run and also ensure patient safety.

  13. The Relationship Between Work Commitment, Dynamic, and Medication Error.

    PubMed

    Rezaiamin, Abdoolkarim; Pazokian, Marzieh; Zagheri Tafreshi, Mansoureh; Nasiri, Malihe

    2017-05-01

    Incidence of medication errors in intensive care unit (ICU) can cause irreparable damage for ICU patients. Therefore, it seems necessary to find the causes of medication errors in this section. Work commitment and dynamic might affect the incidence of medication errors in ICU. To assess the mentioned hypothesis, we performed a descriptive-analytical study which was carried out on 117 nurses working in ICU of educational hospitals in Tehran. Minick et al., Salyer et al., and Wakefield et al. scales were used for data gathering on work commitment, dynamic, and medication errors, respectively. Findings of the current study revealed that high work commitment in ICU nurses caused low number of medication errors, including intravenous and nonintravenous. We controlled the effects of confounding variables in detection of this relationship. In contrast, no significant association was found between work dynamic and different types of medication errors. Although the study did not observe any relationship between the dynamics and rate of medication errors, the training of nurses or nursing students to create a dynamic environment in hospitals can increase their interest in the profession and increase job satisfaction in them. Also they must have enough ability in work dynamic so that they don't confused and distracted result in frequent changes of orders, care plans, and procedures.

  14. Medication errors as malpractice-a qualitative content analysis of 585 medication errors by nurses in Sweden.

    PubMed

    Björkstén, Karin Sparring; Bergqvist, Monica; Andersén-Karlsson, Eva; Benson, Lina; Ulfvarson, Johanna

    2016-08-24

    Many studies address the prevalence of medication errors but few address medication errors serious enough to be regarded as malpractice. Other studies have analyzed the individual and system contributory factor leading to a medication error. Nurses have a key role in medication administration, and there are contradictory reports on the nurses' work experience in relation to the risk and type for medication errors. All medication errors where a nurse was held responsible for malpractice (n = 585) during 11 years in Sweden were included. A qualitative content analysis and classification according to the type and the individual and system contributory factors was made. In order to test for possible differences between nurses' work experience and associations within and between the errors and contributory factors, Fisher's exact test was used, and Cohen's kappa (k) was performed to estimate the magnitude and direction of the associations. There were a total of 613 medication errors in the 585 cases, the most common being "Wrong dose" (41 %), "Wrong patient" (13 %) and "Omission of drug" (12 %). In 95 % of the cases, an average of 1.4 individual contributory factors was found; the most common being "Negligence, forgetfulness or lack of attentiveness" (68 %), "Proper protocol not followed" (25 %), "Lack of knowledge" (13 %) and "Practice beyond scope" (12 %). In 78 % of the cases, an average of 1.7 system contributory factors was found; the most common being "Role overload" (36 %), "Unclear communication or orders" (30 %) and "Lack of adequate access to guidelines or unclear organisational routines" (30 %). The errors "Wrong patient due to mix-up of patients" and "Wrong route" and the contributory factors "Lack of knowledge" and "Negligence, forgetfulness or lack of attentiveness" were more common in less experienced nurses. The experienced nurses were more prone to "Practice beyond scope of practice" and to make errors in spite of "Lack of adequate

  15. Characteristics of pediatric chemotherapy medication errors in a national error reporting database.

    PubMed

    Rinke, Michael L; Shore, Andrew D; Morlock, Laura; Hicks, Rodney W; Miller, Marlene R

    2007-07-01

    Little is known regarding chemotherapy medication errors in pediatrics despite studies suggesting high rates of overall pediatric medication errors. In this study, the authors examined patterns in pediatric chemotherapy errors. The authors queried the United States Pharmacopeia MEDMARX database, a national, voluntary, Internet-accessible error reporting system, for all error reports from 1999 through 2004 that involved chemotherapy medications and patients aged <18 years. Of the 310 pediatric chemotherapy error reports, 85% reached the patient, and 15.6% required additional patient monitoring or therapeutic intervention. Forty-eight percent of errors originated in the administering phase of medication delivery, and 30% originated in the drug-dispensing phase. Of the 387 medications cited, 39.5% were antimetabolites, 14.0% were alkylating agents, 9.3% were anthracyclines, and 9.3% were topoisomerase inhibitors. The most commonly involved chemotherapeutic agents were methotrexate (15.3%), cytarabine (12.1%), and etoposide (8.3%). The most common error types were improper dose/quantity (22.9% of 327 cited error types), wrong time (22.6%), omission error (14.1%), and wrong administration technique/wrong route (12.2%). The most common error causes were performance deficit (41.3% of 547 cited error causes), equipment and medication delivery devices (12.4%), communication (8.8%), knowledge deficit (6.8%), and written order errors (5.5%). Four of the 5 most serious errors occurred at community hospitals. Pediatric chemotherapy errors often reached the patient, potentially were harmful, and differed in quality between outpatient and inpatient areas. This study indicated which chemotherapeutic agents most often were involved in errors and that administering errors were common. Investigation is needed regarding targeted medication administration safeguards for these high-risk medications. Copyright (c) 2007 American Cancer Society.

  16. Medication errors in anesthesia: unacceptable or unavoidable?

    PubMed

    Dhawan, Ira; Tewari, Anurag; Sehgal, Sankalp; Sinha, Ashish Chandra

    Medication errors are the common causes of patient morbidity and mortality. It adds financial burden to the institution as well. Though the impact varies from no harm to serious adverse effects including death, it needs attention on priority basis since medication errors' are preventable. In today's world where people are aware and medical claims are on the hike, it is of utmost priority that we curb this issue. Individual effort to decrease medication error alone might not be successful until a change in the existing protocols and system is incorporated. Often drug errors that occur cannot be reversed. The best way to 'treat' drug errors is to prevent them. Wrong medication (due to syringe swap), overdose (due to misunderstanding or preconception of the dose, pump misuse and dilution error), incorrect administration route, under dosing and omission are common causes of medication error that occur perioperatively. Drug omission and calculation mistakes occur commonly in ICU. Medication errors can occur perioperatively either during preparation, administration or record keeping. Numerous human and system errors can be blamed for occurrence of medication errors. The need of the hour is to stop the blame - game, accept mistakes and develop a safe and 'just' culture in order to prevent medication errors. The newly devised systems like VEINROM, a fluid delivery system is a novel approach in preventing drug errors due to most commonly used medications in anesthesia. Similar developments along with vigilant doctors, safe workplace culture and organizational support all together can help prevent these errors. Copyright © 2016. Published by Elsevier Editora Ltda.

  17. Antidepressant and antipsychotic medication errors reported to United States poison control centers.

    PubMed

    Kamboj, Alisha; Spiller, Henry A; Casavant, Marcel J; Chounthirath, Thitphalak; Hodges, Nichole L; Smith, Gary A

    2018-05-08

    To investigate unintentional therapeutic medication errors associated with antidepressant and antipsychotic medications in the United States and expand current knowledge on the types of errors commonly associated with these medications. A retrospective analysis of non-health care facility unintentional therapeutic errors associated with antidepressant and antipsychotic medications was conducted using data from the National Poison Data System. From 2000 to 2012, poison control centers received 207 670 calls reporting unintentional therapeutic errors associated with antidepressant or antipsychotic medications that occurred outside of a health care facility, averaging 15 975 errors annually. The rate of antidepressant-related errors increased by 50.6% from 2000 to 2004, decreased by 6.5% from 2004 to 2006, and then increased 13.0% from 2006 to 2012. The rate of errors related to antipsychotic medications increased by 99.7% from 2000 to 2004 and then increased by 8.8% from 2004 to 2012. Overall, 70.1% of reported errors occurred among adults, and 59.3% were among females. The medications most frequently associated with errors were selective serotonin reuptake inhibitors (30.3%), atypical antipsychotics (24.1%), and other types of antidepressants (21.5%). Most medication errors took place when an individual inadvertently took or was given a medication twice (41.0%), inadvertently took someone else's medication (15.6%), or took the wrong medication (15.6%). This study provides a comprehensive overview of non-health care facility unintentional therapeutic errors associated with antidepressant and antipsychotic medications. The frequency and rate of these errors increased significantly from 2000 to 2012. Given that use of these medications is increasing in the US, this study provides important information about the epidemiology of the associated medication errors. Copyright © 2018 John Wiley & Sons, Ltd.

  18. Local concurrent error detection and correction in data structures using virtual backpointers

    NASA Technical Reports Server (NTRS)

    Li, C. C.; Chen, P. P.; Fuchs, W. K.

    1987-01-01

    A new technique, based on virtual backpointers, for local concurrent error detection and correction in linked data structures is presented. Two new data structures, the Virtual Double Linked List, and the B-tree with Virtual Backpointers, are described. For these structures, double errors can be detected in 0(1) time and errors detected during forward moves can be corrected in 0(1) time. The application of a concurrent auditor process to data structure error detection and correction is analyzed, and an implementation is described, to determine the effect on mean time to failure of a multi-user shared database system. The implementation utilizes a Sequent shared memory multiprocessor system operating on a shared databased of Virtual Double Linked Lists.

  19. Local concurrent error detection and correction in data structures using virtual backpointers

    NASA Technical Reports Server (NTRS)

    Li, Chung-Chi Jim; Chen, Paul Peichuan; Fuchs, W. Kent

    1989-01-01

    A new technique, based on virtual backpointers, for local concurrent error detection and correction in linked data strutures is presented. Two new data structures, the Virtual Double Linked List, and the B-tree with Virtual Backpointers, are described. For these structures, double errors can be detected in 0(1) time and errors detected during forward moves can be corrected in 0(1) time. The application of a concurrent auditor process to data structure error detection and correction is analyzed, and an implementation is described, to determine the effect on mean time to failure of a multi-user shared database system. The implementation utilizes a Sequent shared memory multiprocessor system operating on a shared database of Virtual Double Linked Lists.

  20. Errors in fluid therapy in medical wards.

    PubMed

    Mousavi, Maryam; Khalili, Hossein; Dashti-Khavidaki, Simin

    2012-04-01

    Intravenous fluid therapy remains an essential part of patients' care during hospitalization. There are only few studies that focused on fluid therapy in the hospitalized patients, and there is not any consensus statement about fluid therapy in patients who are hospitalized in medical wards. The aim of the present study was to assess intravenous fluid therapy status and related errors in the patients during the course of hospitalization in the infectious diseases wards of a referral teaching hospital. This study was conducted in the infectious diseases wards of Imam Khomeini Complex Hospital, Tehran, Iran. During a retrospective study, data related to intravenous fluid therapy were collected by two clinical pharmacists of infectious diseases from 2008 to 2010. Intravenous fluid therapy information including indication, type, volume and rate of fluid administration was recorded for each patient. An internal protocol for intravenous fluid therapy was designed based on literature review and available recommendations. The data related to patients' fluid therapy were compared with this protocol. The fluid therapy was considered appropriate if it was compatible with the protocol regarding indication of intravenous fluid therapy, type, electrolyte content and rate of fluid administration. Any mistake in the selection of fluid type, content, volume and rate of administration was considered as intravenous fluid therapy errors. Five hundred and ninety-six of medication errors were detected during the study period in the patients. Overall rate of fluid therapy errors was 1.3 numbers per patient during hospitalization. Errors in the rate of fluid administration (29.8%), incorrect fluid volume calculation (26.5%) and incorrect type of fluid selection (24.6%) were the most common types of errors. The patients' male sex, old age, baseline renal diseases, diabetes co-morbidity, and hospitalization due to endocarditis, HIV infection and sepsis are predisposing factors for the

  1. Addressing Medical Errors in Hand Surgery

    PubMed Central

    Johnson, Shepard P.; Adkinson, Joshua M.; Chung, Kevin C.

    2014-01-01

    Influential think-tank such as the Institute of Medicine has raised awareness about the implications of medical errors. In response, organizations, medical societies, and institutions have initiated programs to decrease the incidence and effects of these errors. Surgeons deal with the direct implications of adverse events involving patients. In addition to managing the physical consequences, they are confronted with ethical and social issues when caring for a harmed patient. Although there is considerable effort to implement system-wide changes, there is little guidance for hand surgeons on how to address medical errors. Admitting an error is difficult, but a transparent environment where patients are notified of errors and offered consolation and compensation is essential to maintain trust. Further, equipping hand surgeons with a guide for addressing medical errors will promote compassionate patient interaction, help identify system failures, provide learning points for safety improvement, and demonstrate a commitment to ethically responsible medical care. PMID:25154576

  2. [Medical errors: inevitable but preventable].

    PubMed

    Giard, R W

    2001-10-27

    Medical errors are increasingly reported in the lay press. Studies have shown dramatic error rates of 10 percent or even higher. From a methodological point of view, studying the frequency and causes of medical errors is far from simple. Clinical decisions on diagnostic or therapeutic interventions are always taken within a clinical context. Reviewing outcomes of interventions without taking into account both the intentions and the arguments for a particular action will limit the conclusions from a study on the rate and preventability of errors. The interpretation of the preventability of medical errors is fraught with difficulties and probably highly subjective. Blaming the doctor personally does not do justice to the actual situation and especially the organisational framework. Attention for and improvement of the organisational aspects of error are far more important then litigating the person. To err is and will remain human and if we want to reduce the incidence of faults we must be able to learn from our mistakes. That requires an open attitude towards medical mistakes, a continuous effort in their detection, a sound analysis and, where feasible, the institution of preventive measures.

  3. Pediatric Nurses' Perceptions of Medication Safety and Medication Error: A Mixed Methods Study.

    PubMed

    Alomari, Albara; Wilson, Val; Solman, Annette; Bajorek, Beata; Tinsley, Patricia

    2018-06-01

    This study aims to outline the current workplace culture of medication practice in a pediatric medical ward. The objective is to explore the perceptions of nurses in a pediatric clinical setting as to why medication administration errors occur. As nurses have a central role in the medication process, it is essential to explore nurses' perceptions of the factors influencing the medication process. Without this understanding, it is difficult to develop effective prevention strategies aimed at reducing medication administration errors. Previous studies were limited to exploring a single and specific aspect of medication safety. The methods used in these studies were limited to survey designs which may lead to incomplete or inadequate information being provided. This study is phase 1 on an action research project. Data collection included a direct observation of nurses during medication preparation and administration, audit based on the medication policy, and guidelines and focus groups with nursing staff. A thematic analysis was undertaken by each author independently to analyze the observation notes and focus group transcripts. Simple descriptive statistics were used to analyze the audit data. The study was conducted in a specialized pediatric medical ward. Four key themes were identified from the combined quantitative and qualitative data: (1) understanding medication errors, (2) the busy-ness of nurses, (3) the physical environment, and (4) compliance with medication policy and practice guidelines. Workload, frequent interruptions to process, poor physical environment design, lack of preparation space, and impractical medication policies are identified as barriers to safe medication practice. Overcoming these barriers requires organizations to review medication process policies and engage nurses more in medication safety research and in designing clinical guidelines for their own practice.

  4. Unit of Measurement Used and Parent Medication Dosing Errors

    PubMed Central

    Dreyer, Benard P.; Ugboaja, Donna C.; Sanchez, Dayana C.; Paul, Ian M.; Moreira, Hannah A.; Rodriguez, Luis; Mendelsohn, Alan L.

    2014-01-01

    BACKGROUND AND OBJECTIVES: Adopting the milliliter as the preferred unit of measurement has been suggested as a strategy to improve the clarity of medication instructions; teaspoon and tablespoon units may inadvertently endorse nonstandard kitchen spoon use. We examined the association between unit used and parent medication errors and whether nonstandard instruments mediate this relationship. METHODS: Cross-sectional analysis of baseline data from a larger study of provider communication and medication errors. English- or Spanish-speaking parents (n = 287) whose children were prescribed liquid medications in 2 emergency departments were enrolled. Medication error defined as: error in knowledge of prescribed dose, error in observed dose measurement (compared to intended or prescribed dose); >20% deviation threshold for error. Multiple logistic regression performed adjusting for parent age, language, country, race/ethnicity, socioeconomic status, education, health literacy (Short Test of Functional Health Literacy in Adults); child age, chronic disease; site. RESULTS: Medication errors were common: 39.4% of parents made an error in measurement of the intended dose, 41.1% made an error in the prescribed dose. Furthermore, 16.7% used a nonstandard instrument. Compared with parents who used milliliter-only, parents who used teaspoon or tablespoon units had twice the odds of making an error with the intended (42.5% vs 27.6%, P = .02; adjusted odds ratio=2.3; 95% confidence interval, 1.2–4.4) and prescribed (45.1% vs 31.4%, P = .04; adjusted odds ratio=1.9; 95% confidence interval, 1.03–3.5) dose; associations greater for parents with low health literacy and non–English speakers. Nonstandard instrument use partially mediated teaspoon and tablespoon–associated measurement errors. CONCLUSIONS: Findings support a milliliter-only standard to reduce medication errors. PMID:25022742

  5. Unit of measurement used and parent medication dosing errors.

    PubMed

    Yin, H Shonna; Dreyer, Benard P; Ugboaja, Donna C; Sanchez, Dayana C; Paul, Ian M; Moreira, Hannah A; Rodriguez, Luis; Mendelsohn, Alan L

    2014-08-01

    Adopting the milliliter as the preferred unit of measurement has been suggested as a strategy to improve the clarity of medication instructions; teaspoon and tablespoon units may inadvertently endorse nonstandard kitchen spoon use. We examined the association between unit used and parent medication errors and whether nonstandard instruments mediate this relationship. Cross-sectional analysis of baseline data from a larger study of provider communication and medication errors. English- or Spanish-speaking parents (n = 287) whose children were prescribed liquid medications in 2 emergency departments were enrolled. Medication error defined as: error in knowledge of prescribed dose, error in observed dose measurement (compared to intended or prescribed dose); >20% deviation threshold for error. Multiple logistic regression performed adjusting for parent age, language, country, race/ethnicity, socioeconomic status, education, health literacy (Short Test of Functional Health Literacy in Adults); child age, chronic disease; site. Medication errors were common: 39.4% of parents made an error in measurement of the intended dose, 41.1% made an error in the prescribed dose. Furthermore, 16.7% used a nonstandard instrument. Compared with parents who used milliliter-only, parents who used teaspoon or tablespoon units had twice the odds of making an error with the intended (42.5% vs 27.6%, P = .02; adjusted odds ratio=2.3; 95% confidence interval, 1.2-4.4) and prescribed (45.1% vs 31.4%, P = .04; adjusted odds ratio=1.9; 95% confidence interval, 1.03-3.5) dose; associations greater for parents with low health literacy and non-English speakers. Nonstandard instrument use partially mediated teaspoon and tablespoon-associated measurement errors. Findings support a milliliter-only standard to reduce medication errors. Copyright © 2014 by the American Academy of Pediatrics.

  6. Factors effective on medication errors: A nursing view.

    PubMed

    Shahrokhi, Akram; Ebrahimpour, Fatemeh; Ghodousi, Arash

    2013-01-01

    Medication errors are the most common medical errors, which may result in some complications for patients. This study was carried out to investigate what influence medication errors by nurses from their viewpoint. In this descriptive study, 150 nurses who were working in Qazvin Medical University teaching hospitals were selected by proportional random sampling, and data were collected by means of a researcher-made questionnaire including demographic attributes (age, gender, working experience,…), and contributing factors in medication errors (in three categories including nurse-related, management-related, and environment-related factors). The mean age of the participant nurses was 30.7 ± 6.5 years. Most of them (87.1%) were female with a Bachelor of Sciences degree (86.7%) in nursing. The mean of their overtime working was 64.8 ± 38 h/month. The results showed that the nurse-related factors are the most effective factors (55.44 ± 9.14) while the factors related to the management system (52.84 ± 11.24) and the ward environment (44.0 ± 10.89) are respectively less effective. The difference between these three groups was significant (P = 0.000). In each aforementioned category, the most effective factor on medication error (ranked from the most effective to the least effective) were as follow: The nurse's inadequate attention (98.7%), the errors occurring in the transfer of medication orders from the patient's file to kardex (96.6%) and the ward's heavy workload (86.7%). In this study nurse-related factors were the most effective factors on medication errors, but nurses are one of the members of health-care providing team, so their performance must be considered in the context of the health-care system like work force condition, rules and regulations, drug manufacturing that might impact nurses performance, so it could not be possible to prevent medication errors without paying attention to our health-care system in a holistic approach.

  7. Factors effective on medication errors: A nursing view

    PubMed Central

    Shahrokhi, Akram; Ebrahimpour, Fatemeh; Ghodousi, Arash

    2013-01-01

    Objective: Medication errors are the most common medical errors, which may result in some complications for patients. This study was carried out to investigate what influence medication errors by nurses from their viewpoint. Methods: In this descriptive study, 150 nurses who were working in Qazvin Medical University teaching hospitals were selected by proportional random sampling, and data were collected by means of a researcher-made questionnaire including demographic attributes (age, gender, working experience,…), and contributing factors in medication errors (in three categories including nurse-related, management-related, and environment-related factors). Findings: The mean age of the participant nurses was 30.7 ± 6.5 years. Most of them (87.1%) were female with a Bachelor of Sciences degree (86.7%) in nursing. The mean of their overtime working was 64.8 ± 38 h/month. The results showed that the nurse-related factors are the most effective factors (55.44 ± 9.14) while the factors related to the management system (52.84 ± 11.24) and the ward environment (44.0 ± 10.89) are respectively less effective. The difference between these three groups was significant (P = 0.000). In each aforementioned category, the most effective factor on medication error (ranked from the most effective to the least effective) were as follow: The nurse's inadequate attention (98.7%), the errors occurring in the transfer of medication orders from the patient's file to kardex (96.6%) and the ward's heavy workload (86.7%). Conclusion: In this study nurse-related factors were the most effective factors on medication errors, but nurses are one of the members of health-care providing team, so their performance must be considered in the context of the health-care system like work force condition, rules and regulations, drug manufacturing that might impact nurses performance, so it could not be possible to prevent medication errors without paying attention to our health-care system in a

  8. Effects of learning climate and registered nurse staffing on medication errors.

    PubMed

    Chang, Yunkyung; Mark, Barbara

    2011-01-01

    Despite increasing recognition of the significance of learning from errors, little is known about how learning climate contributes to error reduction. The purpose of this study was to investigate whether learning climate moderates the relationship between error-producing conditions and medication errors. A cross-sectional descriptive study was done using data from 279 nursing units in 146 randomly selected hospitals in the United States. Error-producing conditions included work environment factors (work dynamics and nurse mix), team factors (communication with physicians and nurses' expertise), personal factors (nurses' education and experience), patient factors (age, health status, and previous hospitalization), and medication-related support services. Poisson models with random effects were used with the nursing unit as the unit of analysis. A significant negative relationship was found between learning climate and medication errors. It also moderated the relationship between nurse mix and medication errors: When learning climate was negative, having more registered nurses was associated with fewer medication errors. However, no relationship was found between nurse mix and medication errors at either positive or average levels of learning climate. Learning climate did not moderate the relationship between work dynamics and medication errors. The way nurse mix affects medication errors depends on the level of learning climate. Nursing units with fewer registered nurses and frequent medication errors should examine their learning climate. Future research should be focused on the role of learning climate as related to the relationships between nurse mix and medication errors.

  9. Clinical review: Medication errors in critical care

    PubMed Central

    Moyen, Eric; Camiré, Eric; Stelfox, Henry Thomas

    2008-01-01

    Medication errors in critical care are frequent, serious, and predictable. Critically ill patients are prescribed twice as many medications as patients outside of the intensive care unit (ICU) and nearly all will suffer a potentially life-threatening error at some point during their stay. The aim of this article is to provide a basic review of medication errors in the ICU, identify risk factors for medication errors, and suggest strategies to prevent errors and manage their consequences. PMID:18373883

  10. A framework for secure and decentralized sharing of medical imaging data via blockchain consensus.

    PubMed

    Patel, Vishal

    2018-04-01

    The electronic sharing of medical imaging data is an important element of modern healthcare systems, but current infrastructure for cross-site image transfer depends on trust in third-party intermediaries. In this work, we examine the blockchain concept, which enables parties to establish consensus without relying on a central authority. We develop a framework for cross-domain image sharing that uses a blockchain as a distributed data store to establish a ledger of radiological studies and patient-defined access permissions. The blockchain framework is shown to eliminate third-party access to protected health information, satisfy many criteria of an interoperable health system, and readily generalize to domains beyond medical imaging. Relative drawbacks of the framework include the complexity of the privacy and security models and an unclear regulatory environment. Ultimately, the large-scale feasibility of such an approach remains to be demonstrated and will depend on a number of factors which we discuss in detail.

  11. Changes to Hospital Inpatient Volume After Newspaper Reporting of Medical Errors.

    PubMed

    Fukuda, Haruhisa

    2017-06-30

    The aim of this study was to investigate the influence of medical error case reporting by national newspapers on inpatient volume at acute care hospitals. A case-control study was conducted using the article databases of 3 major Japanese newspapers with nationwide circulation between fiscal years 2012 and 2013. Data on inpatient volume at acute care hospitals were obtained from a Japanese government survey between fiscal years 2011 and 2014. Panel data were constructed and analyzed using a difference-in-differences design. Acute care hospitals in Japan. Hospitals named in articles that included the terms "medical error" and "hospital" were designated case hospitals, which were matched with control hospitals using corresponding locations, nurse-to-patient ratios, and bed numbers. Medical error case reporting in newspapers. Changes to hospital inpatient volume after error reports. The sample comprised 40 case hospitals and 40 control hospitals. Difference-in-differences analyses indicated that newspaper reporting of medical errors was not significantly associated (P = 0.122) with overall inpatient volume. Medical error case reporting by newspapers showed no influence on inpatient volume. Hospitals therefore have little incentive to respond adequately and proactively to medical errors. There may be a need for government intervention to improve the posterror response and encourage better health care safety.

  12. Sharing Data to Build a Medical Information Commons: From Bermuda to the Global Alliance.

    PubMed

    Cook-Deegan, Robert; Ankeny, Rachel A; Maxson Jones, Kathryn

    2017-08-31

    The Human Genome Project modeled its open science ethos on nematode biology, most famously through daily release of DNA sequence data based on the 1996 Bermuda Principles. That open science philosophy persists, but daily, unfettered release of data has had to adapt to constraints occasioned by the use of data from individual people, broader use of data not only by scientists but also by clinicians and individuals, the global reach of genomic applications and diverse national privacy and research ethics laws, and the rising prominence of a diverse commercial genomics sector. The Global Alliance for Genomics and Health was established to enable the data sharing that is essential for making meaning of genomic variation. Data-sharing policies and practices will continue to evolve as researchers, health professionals, and individuals strive to construct a global medical and scientific information commons.

  13. Medical Error and Moral Luck.

    PubMed

    Hubbeling, Dieneke

    2016-09-01

    This paper addresses the concept of moral luck. Moral luck is discussed in the context of medical error, especially an error of omission that occurs frequently, but only rarely has adverse consequences. As an example, a failure to compare the label on a syringe with the drug chart results in the wrong medication being administered and the patient dies. However, this error may have previously occurred many times with no tragic consequences. Discussions on moral luck can highlight conflicting intuitions. Should perpetrators receive a harsher punishment because of an adverse outcome, or should they be dealt with in the same way as colleagues who have acted similarly, but with no adverse effects? An additional element to the discussion, specifically with medical errors, is that according to the evidence currently available, punishing individual practitioners does not seem to be effective in preventing future errors. The following discussion, using relevant philosophical and empirical evidence, posits a possible solution for the moral luck conundrum in the context of medical error: namely, making a distinction between the duty to make amends and assigning blame. Blame should be assigned on the basis of actual behavior, while the duty to make amends is dependent on the outcome.

  14. Medical error and systems of signaling: conceptual and linguistic definition.

    PubMed

    Smorti, Andrea; Cappelli, Francesco; Zarantonello, Roberta; Tani, Franca; Gensini, Gian Franco

    2014-09-01

    In recent years the issue of patient safety has been the subject of detailed investigations, particularly as a result of the increasing attention from the patients and the public on the problem of medical error. The purpose of this work is firstly to define the classification of medical errors, which are distinguished between two perspectives: those that are personal, and those that are caused by the system. Furthermore we will briefly review some of the main methods used by healthcare organizations to identify and analyze errors. During this discussion it has been determined that, in order to constitute a practical, coordinated and shared action to counteract the error, it is necessary to promote an analysis that considers all elements (human, technological and organizational) that contribute to the occurrence of a critical event. Therefore, it is essential to create a culture of constructive confrontation that encourages an open and non-punitive debate about the causes that led to error. In conclusion we have thus underlined that in health it is essential to affirm a system discussion that considers the error as a learning source, and as a result of the interaction between the individual and the organization. In this way, one should encourage a non-guilt bearing discussion on evident errors and on those which are not immediately identifiable, in order to create the conditions that recognize and corrects the error even before it produces negative consequences.

  15. [Detection and classification of medication errors at Joan XXIII University Hospital].

    PubMed

    Jornet Montaña, S; Canadell Vilarrasa, L; Calabuig Mũoz, M; Riera Sendra, G; Vuelta Arce, M; Bardají Ruiz, A; Gallart Mora, M J

    2004-01-01

    Medication errors are multifactorial and multidisciplinary, and may originate in processes such as drug prescription, transcription, dispensation, preparation and administration. The goal of this work was to measure the incidence of detectable medication errors that arise within a unit dose drug distribution and control system, from drug prescription to drug administration, by means of an observational method confined to the Pharmacy Department, as well as a voluntary, anonymous report system. The acceptance of this voluntary report system's implementation was also assessed. A prospective descriptive study was conducted. Data collection was performed at the Pharmacy Department from a review of prescribed medical orders, a review of pharmaceutical transcriptions, a review of dispensed medication and a review of medication returned in unit dose medication carts. A voluntary, anonymous report system centralized in the Pharmacy Department was also set up to detect medication errors. Prescription errors were the most frequent (1.12%), closely followed by dispensation errors (1.04%). Transcription errors (0.42%) and administration errors (0.69%) had the lowest overall incidence. Voluntary report involved only 4.25% of all detected errors, whereas unit dose medication cart review contributed the most to error detection. Recognizing the incidence and types of medication errors that occur in a health-care setting allows us to analyze their causes and effect changes in different stages of the process in order to ensure maximal patient safety.

  16. Medication errors in home care: a qualitative focus group study.

    PubMed

    Berland, Astrid; Bentsen, Signe Berit

    2017-11-01

    To explore registered nurses' experiences of medication errors and patient safety in home care. The focus of care for older patients has shifted from institutional care towards a model of home care. Medication errors are common in this situation and can result in patient morbidity and mortality. An exploratory qualitative design with focus group interviews was used. Four focus group interviews were conducted with 20 registered nurses in home care. The data were analysed using content analysis. Five categories were identified as follows: lack of information, lack of competence, reporting medication errors, trade name products vs. generic name products, and improving routines. Medication errors occur frequently in home care and can threaten the safety of patients. Insufficient exchange of information and poor communication between the specialist and home-care health services, and between general practitioners and healthcare workers can lead to medication errors. A lack of competence in healthcare workers can also lead to medication errors. To prevent these, it is important that there should be up-to-date information and communication between healthcare workers during the transfer of patients from specialist to home care. Ensuring competence among healthcare workers with regard to medication is also important. In addition, there should be openness and accurate reporting of medication errors, as well as in setting routines for the preparation, alteration and administration of medicines. To prevent medication errors in home care, up-to-date information and communication between healthcare workers is important when patients are transferred from specialist to home care. It is also important to ensure adequate competence with regard to medication, and that there should be openness when medication errors occur, as well as in setting routines for the preparation, alteration and administration of medications. © 2017 John Wiley & Sons Ltd.

  17. Content Validity of a Tool Measuring Medication Errors.

    PubMed

    Tabassum, Nishat; Allana, Saleema; Saeed, Tanveer; Dias, Jacqueline Maria

    2015-08-01

    The objective of this study was to determine content and face validity of a tool measuring medication errors among nursing students in baccalaureate nursing education. Data was collected from the Aga Khan University School of Nursing and Midwifery (AKUSoNaM), Karachi, from March to August 2014. The tool was developed utilizing literature and the expertise of the team members, expert in different areas. The developed tool was then sent to five experts from all over Karachi for ensuring the content validity of the tool, which was measured on relevance and clarity of the questions. The Scale Content Validity Index (S-CVI) for clarity and relevance of the questions was found to be 0.94 and 0.98, respectively. The tool measuring medication errors has an excellent content validity. This tool should be used for future studies on medication errors, with different study populations such as medical students, doctors, and nurses.

  18. Technology utilization to prevent medication errors.

    PubMed

    Forni, Allison; Chu, Hanh T; Fanikos, John

    2010-01-01

    Medication errors have been increasingly recognized as a major cause of iatrogenic illness and system-wide improvements have been the focus of prevention efforts. Critically ill patients are particularly vulnerable to injury resulting from medication errors because of the severity of illness, need for high risk medications with a narrow therapeutic index and frequent use of intravenous infusions. Health information technology has been identified as method to reduce medication errors as well as improve the efficiency and quality of care; however, few studies regarding the impact of health information technology have focused on patients in the intensive care unit. Computerized physician order entry and clinical decision support systems can play a crucial role in decreasing errors in the ordering stage of the medication use process through improving the completeness and legibility of orders, alerting physicians to medication allergies and drug interactions and providing a means for standardization of practice. Electronic surveillance, reminders and alerts identify patients susceptible to an adverse event, communicate critical changes in a patient's condition, and facilitate timely and appropriate treatment. Bar code technology, intravenous infusion safety systems, and electronic medication administration records can target prevention of errors in medication dispensing and administration where other technologies would not be able to intercept a preventable adverse event. Systems integration and compliance are vital components in the implementation of health information technology and achievement of a safe medication use process.

  19. Emergency department discharge prescription errors in an academic medical center

    PubMed Central

    Belanger, April; Devine, Lauren T.; Lane, Aaron; Condren, Michelle E.

    2017-01-01

    This study described discharge prescription medication errors written for emergency department patients. This study used content analysis in a cross-sectional design to systematically categorize prescription errors found in a report of 1000 discharge prescriptions submitted in the electronic medical record in February 2015. Two pharmacy team members reviewed the discharge prescription list for errors. Open-ended data were coded by an additional rater for agreement on coding categories. Coding was based upon majority rule. Descriptive statistics were used to address the study objective. Categories evaluated were patient age, provider type, drug class, and type and time of error. The discharge prescription error rate out of 1000 prescriptions was 13.4%, with “incomplete or inadequate prescription” being the most commonly detected error (58.2%). The adult and pediatric error rates were 11.7% and 22.7%, respectively. The antibiotics reviewed had the highest number of errors. The highest within-class error rates were with antianginal medications, antiparasitic medications, antacids, appetite stimulants, and probiotics. Emergency medicine residents wrote the highest percentage of prescriptions (46.7%) and had an error rate of 9.2%. Residents of other specialties wrote 340 prescriptions and had an error rate of 20.9%. Errors occurred most often between 10:00 am and 6:00 pm. PMID:28405061

  20. Nursing student medication errors: a retrospective review.

    PubMed

    Harding, Lorill; Petrick, Teresa

    2008-01-01

    This article presents the findings of a retrospective review of medication errors made and reported by nursing students in a 4-year baccalaureate program. Data were examined in relation to the semester of the program, kind of error according to the rights of medication administration, and contributing factors. Three categories of contributing factors were identified: rights violations, system factors, and knowledge and understanding. It became apparent that system factors, or the context in which medication administration takes place, are not fully considered when students are taught about medication administration. Teaching strategies need to account for the dynamic complexity of this process and incorporate experiential knowledge. This review raised several important questions about how this information guides our practice as educators in the clinical and classroom settings and how we can work collaboratively with practice partners to influence change and increase patient safety.

  1. The epidemiology and type of medication errors reported to the National Poisons Information Centre of Ireland.

    PubMed

    Cassidy, Nicola; Duggan, Edel; Williams, David J P; Tracey, Joseph A

    2011-07-01

    Medication errors are widely reported for hospitalised patients, but limited data are available for medication errors that occur in community-based and clinical settings. Epidemiological data from poisons information centres enable characterisation of trends in medication errors occurring across the healthcare spectrum. The objective of this study was to characterise the epidemiology and type of medication errors reported to the National Poisons Information Centre (NPIC) of Ireland. A 3-year prospective study on medication errors reported to the NPIC was conducted from 1 January 2007 to 31 December 2009 inclusive. Data on patient demographics, enquiry source, location, pharmaceutical agent(s), type of medication error, and treatment advice were collated from standardised call report forms. Medication errors were categorised as (i) prescribing error (i.e. physician error), (ii) dispensing error (i.e. pharmacy error), and (iii) administration error involving the wrong medication, the wrong dose, wrong route, or the wrong time. Medication errors were reported for 2348 individuals, representing 9.56% of total enquiries to the NPIC over 3 years. In total, 1220 children and adolescents under 18 years of age and 1128 adults (≥ 18 years old) experienced a medication error. The majority of enquiries were received from healthcare professionals, but members of the public accounted for 31.3% (n = 736) of enquiries. Most medication errors occurred in a domestic setting (n = 2135), but a small number occurred in healthcare facilities: nursing homes (n = 110, 4.68%), hospitals (n = 53, 2.26%), and general practitioner surgeries (n = 32, 1.36%). In children, medication errors with non-prescription pharmaceuticals predominated (n = 722) and anti-pyretics and non-opioid analgesics, anti-bacterials, and cough and cold preparations were the main pharmaceutical classes involved. Medication errors with prescription medication predominated for adults (n = 866) and the major medication

  2. Patient-Controlled Analgesia Basal Infusion Overdose; Life-threatening Errors with Flecainide Suspension in Children; Medical Product Error-Prevention Efforts Need to Be Shared and Harmonized Internationally

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2015-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers’ names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters’ wishes as to the level of detail included in publications. PMID:26715797

  3. Technology-related medication errors in a tertiary hospital: a 5-year analysis of reported medication incidents.

    PubMed

    Samaranayake, N R; Cheung, S T D; Chui, W C M; Cheung, B M Y

    2012-12-01

    Healthcare technology is meant to reduce medication errors. The objective of this study was to assess unintended errors related to technologies in the medication use process. Medication incidents reported from 2006 to 2010 in a main tertiary care hospital were analysed by a pharmacist and technology-related errors were identified. Technology-related errors were further classified as socio-technical errors and device errors. This analysis was conducted using data from medication incident reports which may represent only a small proportion of medication errors that actually takes place in a hospital. Hence, interpretation of results must be tentative. 1538 medication incidents were reported. 17.1% of all incidents were technology-related, of which only 1.9% were device errors, whereas most were socio-technical errors (98.1%). Of these, 61.2% were linked to computerised prescription order entry, 23.2% to bar-coded patient identification labels, 7.2% to infusion pumps, 6.8% to computer-aided dispensing label generation and 1.5% to other technologies. The immediate causes for technology-related errors included, poor interface between user and computer (68.1%), improper procedures or rule violations (22.1%), poor interface between user and infusion pump (4.9%), technical defects (1.9%) and others (3.0%). In 11.4% of the technology-related incidents, the error was detected after the drug had been administered. A considerable proportion of all incidents were technology-related. Most errors were due to socio-technical issues. Unintended and unanticipated errors may happen when using technologies. Therefore, when using technologies, system improvement, awareness, training and monitoring are needed to minimise medication errors. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  4. A description of medication errors reported by pharmacists in a neonatal intensive care unit.

    PubMed

    Pawluk, Shane; Jaam, Myriam; Hazi, Fatima; Al Hail, Moza Sulaiman; El Kassem, Wessam; Khalifa, Hanan; Thomas, Binny; Abdul Rouf, Pallivalappila

    2017-02-01

    Background Patients in the Neonatal Intensive Care Unit (NICU) are at an increased risk for medication errors. Objective The objective of this study is to describe the nature and setting of medication errors occurring in patients admitted to an NICU in Qatar based on a standard electronic system reported by pharmacists. Setting Neonatal intensive care unit, Doha, Qatar. Method This was a retrospective cross-sectional study on medication errors reported electronically by pharmacists in the NICU between January 1, 2014 and April 30, 2015. Main outcome measure Data collected included patient information, and incident details including error category, medications involved, and follow-up completed. Results A total of 201 NICU pharmacists-reported medication errors were submitted during the study period. All reported errors did not reach the patient and did not cause harm. Of the errors reported, 98.5% occurred in the prescribing phase of the medication process with 58.7% being due to calculation errors. Overall, 53 different medications were documented in error reports with the anti-infective agents being the most frequently cited. The majority of incidents indicated that the primary prescriber was contacted and the error was resolved before reaching the next phase of the medication process. Conclusion Medication errors reported by pharmacists occur most frequently in the prescribing phase of the medication process. Our data suggest that error reporting systems need to be specific to the population involved. Special attention should be paid to frequently used medications in the NICU as these were responsible for the greatest numbers of medication errors.

  5. A model-driven privacy compliance decision support for medical data sharing in Europe.

    PubMed

    Boussi Rahmouni, H; Solomonides, T; Casassa Mont, M; Shiu, S; Rahmouni, M

    2011-01-01

    Clinical practitioners and medical researchers often have to share health data with other colleagues across Europe. Privacy compliance in this context is very important but challenging. Automated privacy guidelines are a practical way of increasing users' awareness of privacy obligations and help eliminating unintentional breaches of privacy. In this paper we present an ontology-plus-rules based approach to privacy decision support for the sharing of patient data across European platforms. We use ontologies to model the required domain and context information about data sharing and privacy requirements. In addition, we use a set of Semantic Web Rule Language rules to reason about legal privacy requirements that are applicable to a specific context of data disclosure. We make the complete set invocable through the use of a semantic web application acting as an interactive privacy guideline system can then invoke the full model in order to provide decision support. When asked, the system will generate privacy reports applicable to a specific case of data disclosure described by the user. Also reports showing guidelines per Member State may be obtained. The advantage of this approach lies in the expressiveness and extensibility of the modelling and inference languages adopted and the ability they confer to reason with complex requirements interpreted from high level regulations. However, the system cannot at this stage fully simulate the role of an ethics committee or review board.

  6. Professional liability insurance and medical error disclosure.

    PubMed

    McLennan, Stuart; Shaw, David; Leu, Agnes; Elger, Bernice

    2015-01-01

    To examine medicolegal stakeholders' views about the impact of professional liability insurance in Switzerland on medical error disclosure. Purposive sample of 23 key medicolegal stakeholders in Switzerland from a range of fields between October 2012 and February 2013. Data were collected via individual, face-to-face interviews using a researcher-developed semi-structured interview guide. Interviews were transcribed and analysed using conventional content analysis. Participants, particularly those with a legal or quality background, reported that concerns relating to professional liability insurance often inhibited communication with patients after a medical error. Healthcare providers were reported to be particularly concerned about losing their liability insurance cover for apologising to harmed patients. It was reported that the attempt to limit the exchange of information and communication could lead to a conflict with patient rights law. Participants reported that hospitals could, and in some case are, moving towards self-insurance approaches, which could increase flexibility regarding error communication The reported current practice of at least some liability insurance companies in Switzerland of inhibiting communication with harmed patients after an error is concerning and requires further investigation. With a new ethic of transparency regarding medical errors now prevailing internationally, this approach is increasingly being perceived to be misguided. A move away from hospitals relying solely on liability insurance may allow greater transparency after errors. Legalisation preventing the loss of liability insurance coverage for apologising to harmed patients should also be considered.

  7. Medical errors; causes, consequences, emotional response and resulting behavioral change

    PubMed Central

    Bari, Attia; Khan, Rehan Ahmed; Rathore, Ahsan Waheed

    2016-01-01

    Objective: To determine the causes of medical errors, the emotional and behavioral response of pediatric medicine residents to their medical errors and to determine their behavior change affecting their future training. Methods: One hundred thirty postgraduate residents were included in the study. Residents were asked to complete questionnaire about their errors and responses to their errors in three domains: emotional response, learning behavior and disclosure of the error. The names of the participants were kept confidential. Data was analyzed using SPSS version 20. Results: A total of 130 residents were included. Majority 128(98.5%) of these described some form of error. Serious errors that occurred were 24(19%), 63(48%) minor, 24(19%) near misses,2(2%) never encountered an error and 17(12%) did not mention type of error but mentioned causes and consequences. Only 73(57%) residents disclosed medical errors to their senior physician but disclosure to patient’s family was negligible 15(11%). Fatigue due to long duty hours 85(65%), inadequate experience 66(52%), inadequate supervision 58(48%) and complex case 58(45%) were common causes of medical errors. Negative emotions were common and were significantly associated with lack of knowledge (p=0.001), missing warning signs (p=<0.001), not seeking advice (p=0.003) and procedural complications (p=0.001). Medical errors had significant impact on resident’s behavior; 119(93%) residents became more careful, increased advice seeking from seniors 109(86%) and 109(86%) started paying more attention to details. Intrinsic causes of errors were significantly associated with increased information seeking behavior and vigilance (p=0.003) and (p=0.01) respectively. Conclusion: Medical errors committed by residents have inadequate disclosure to senior physicians and result in negative emotions but there was positive change in their behavior, which resulted in improvement in their future training and patient care. PMID:27375682

  8. Medication administration errors in nursing homes using an automated medication dispensing system.

    PubMed

    van den Bemt, Patricia M L A; Idzinga, Jetske C; Robertz, Hans; Kormelink, Dennis Groot; Pels, Neske

    2009-01-01

    OBJECTIVE To identify the frequency of medication administration errors as well as their potential risk factors in nursing homes using a distribution robot. DESIGN The study was a prospective, observational study conducted within three nursing homes in the Netherlands caring for 180 individuals. MEASUREMENTS Medication errors were measured using the disguised observation technique. Types of medication errors were described. The correlation between several potential risk factors and the occurrence of medication errors was studied to identify potential causes for the errors. RESULTS In total 2,025 medication administrations to 127 clients were observed. In these administrations 428 errors were observed (21.2%). The most frequently occurring types of errors were use of wrong administration techniques (especially incorrect crushing of medication and not supervising the intake of medication) and wrong time errors (administering the medication at least 1 h early or late).The potential risk factors female gender (odds ratio (OR) 1.39; 95% confidence interval (CI) 1.05-1.83), ATC medication class antibiotics (OR 11.11; 95% CI 2.66-46.50), medication crushed (OR 7.83; 95% CI 5.40-11.36), number of dosages/day/client (OR 1.03; 95% CI 1.01-1.05), nursing home 2 (OR 3.97; 95% CI 2.86-5.50), medication not supplied by distribution robot (OR 2.92; 95% CI 2.04-4.18), time classes "7-10 am" (OR 2.28; 95% CI 1.50-3.47) and "10 am-2 pm" (OR 1.96; 1.18-3.27) and day of the week "Wednesday" (OR 1.46; 95% CI 1.03-2.07) are associated with a higher risk of administration errors. CONCLUSIONS Medication administration in nursing homes is prone to many errors. This study indicates that the handling of the medication after removing it from the robot packaging may contribute to this high error frequency, which may be reduced by training of nurse attendants, by automated clinical decision support and by measures to reduce workload.

  9. Physician's error: medical or legal concept?

    PubMed

    Mujovic-Zornic, Hajrija M

    2010-06-01

    This article deals with the common term of different physician's errors that often happen in daily practice of health care. Author begins with the term of medical malpractice, defined broadly as practice of unjustified acts or failures to act upon the part of a physician or other health care professionals, which results in harm to the patient. It is a common term that includes many types of medical errors, especially physician's errors. The author also discusses the concept of physician's error in particular, which is understood no more in traditional way only as classic error in acting something manually wrong without necessary skills (medical concept), but as an error which violates patient's basic rights and which has its final legal consequence (legal concept). In every case the essential element of liability is to establish this error as a breach of the physician's duty. The first point to note is that the standard of procedure and the standard of due care against which the physician will be judged is not going to be that of the ordinary reasonable man who enjoys no medical expertise. The court's decision should give finale answer and legal qualification in each concrete case. The author's conclusion is that higher protection of human rights in the area of health equaly demands broader concept of physician's error with the accent to its legal subject matter.

  10. ISMP Medication Error Report Analysis

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2017-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications. PMID:28179735

  11. ISMP Medication Error Report Analysis

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2017-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your in-service training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers’ names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters’ wishes as to the level of detail included in publications. PMID:29276260

  12. ISMP Medication Error Report Analysis

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2016-01-01

    These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were received through the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications. PMID:28057945

  13. ISMP Medication Error Report Analysis

    PubMed Central

    Cohen, Michael R.; Smetzer, Judy L.

    2016-01-01

    ABSTRACT These medication errors have occurred in health care facilities at least once. They will happen again—perhaps where you work. Through education and alertness of personnel and procedural-safeguards, they can be avoided. You should consider publishing accounts of errors in your newsletters and/or presenting them at your inservice training programs. Your assistance is required to continue this feature. The reports described here were receivedthrough the Institute for Safe Medication Practices (ISMP) Medication Errors Reporting Program. Any reports published by ISMP will be anonymous. Comments are also invited; the writers' names will be published if desired. ISMP may be contacted at the address shown below. Errors, close calls, or hazardous conditions may be reported directly to ISMP through the ISMP Web site (www.ismp.org), by calling 800-FAIL-SAFE, or via e-mail at ismpinfo@ismp.org. ISMP guarantees the confidentiality and security of the information received and respects reporters' wishes as to the level of detail included in publications. PMID:27928183

  14. Non-health care facility anticonvulsant medication errors in the United States.

    PubMed

    DeDonato, Emily A; Spiller, Henry A; Casavant, Marcel J; Chounthirath, Thitphalak; Hodges, Nichole L; Smith, Gary A

    2018-06-01

    This study provides an epidemiological description of non-health care facility medication errors involving anticonvulsant drugs. A retrospective analysis of National Poison Data System data was conducted on non-health care facility medication errors involving anticonvulsant drugs reported to US Poison Control Centers from 2000 through 2012. During the study period, 108,446 non-health care facility medication errors involving anticonvulsant pharmaceuticals were reported to US Poison Control Centers, averaging 8342 exposures annually. The annual frequency and rate of errors increased significantly over the study period, by 96.6 and 76.7%, respectively. The rate of exposures resulting in health care facility use increased by 83.3% and the rate of exposures resulting in serious medical outcomes increased by 62.3%. In 2012, newer anticonvulsants, including felbamate, gabapentin, lamotrigine, levetiracetam, other anticonvulsants (excluding barbiturates), other types of gamma aminobutyric acid, oxcarbazepine, topiramate, and zonisamide, accounted for 67.1% of all exposures. The rate of non-health care facility anticonvulsant medication errors reported to Poison Control Centers increased during 2000-2012, resulting in more frequent health care facility use and serious medical outcomes. Newer anticonvulsants, although often considered safer and more easily tolerated, were responsible for much of this trend and should still be administered with caution.

  15. Medication Errors in Vietnamese Hospitals: Prevalence, Potential Outcome and Associated Factors

    PubMed Central

    Nguyen, Huong-Thao; Nguyen, Tuan-Dung; van den Heuvel, Edwin R.; Haaijer-Ruskamp, Flora M.; Taxis, Katja

    2015-01-01

    Background Evidence from developed countries showed that medication errors are common and harmful. Little is known about medication errors in resource-restricted settings, including Vietnam. Objectives To determine the prevalence and potential clinical outcome of medication preparation and administration errors, and to identify factors associated with errors. Methods This was a prospective study conducted on six wards in two urban public hospitals in Vietnam. Data of preparation and administration errors of oral and intravenous medications was collected by direct observation, 12 hours per day on 7 consecutive days, on each ward. Multivariable logistic regression was applied to identify factors contributing to errors. Results In total, 2060 out of 5271 doses had at least one error. The error rate was 39.1% (95% confidence interval 37.8%- 40.4%). Experts judged potential clinical outcomes as minor, moderate, and severe in 72 (1.4%), 1806 (34.2%) and 182 (3.5%) doses. Factors associated with errors were drug characteristics (administration route, complexity of preparation, drug class; all p values < 0.001), and administration time (drug round, p = 0.023; day of the week, p = 0.024). Several interactions between these factors were also significant. Nurse experience was not significant. Higher error rates were observed for intravenous medications involving complex preparation procedures and for anti-infective drugs. Slightly lower medication error rates were observed during afternoon rounds compared to other rounds. Conclusions Potentially clinically relevant errors occurred in more than a third of all medications in this large study conducted in a resource-restricted setting. Educational interventions, focusing on intravenous medications with complex preparation procedure, particularly antibiotics, are likely to improve patient safety. PMID:26383873

  16. Medication errors: immunisation.

    PubMed

    Bird, Sara

    2006-09-01

    Case histories are based on actual medical negligence claims or medicolegal referrals, however certain facts have been omitted or changed by the author to ensure the anonymity of the parties involved. This article outlines a medication error involving childhood immunisation and examines the underlying causes of the incident. Advice about how to deal with a patient and their family when things go wrong is provided.

  17. A logic programming approach to medical errors in imaging.

    PubMed

    Rodrigues, Susana; Brandão, Paulo; Nelas, Luís; Neves, José; Alves, Victor

    2011-09-01

    In 2000, the Institute of Medicine reported disturbing numbers on the scope it covers and the impact of medical error in the process of health delivery. Nevertheless, a solution to this problem may lie on the adoption of adverse event reporting and learning systems that can help to identify hazards and risks. It is crucial to apply models to identify the adverse events root causes, enhance the sharing of knowledge and experience. The efficiency of the efforts to improve patient safety has been frustratingly slow. Some of this insufficiency of progress may be assigned to the lack of systems that take into account the characteristic of the information about the real world. In our daily lives, we formulate most of our decisions normally based on incomplete, uncertain and even forbidden or contradictory information. One's knowledge is less based on exact facts and more on hypothesis, perceptions or indications. From the data collected on our adverse event treatment and learning system on medical imaging, and through the use of Extended Logic Programming to knowledge representation and reasoning, and the exploitation of new methodologies for problem solving, namely those based on the perception of what is an agent and/or multi-agent systems, we intend to generate reports that identify the most relevant causes of error and define improvement strategies, concluding about the impact, place of occurrence, form or type of event recorded in the healthcare institutions. The Eindhoven Classification Model was extended and adapted to the medical imaging field and used to classify adverse events root causes. Extended Logic Programming was used for knowledge representation with defective information, allowing for the modelling of the universe of discourse in terms of data and knowledge default. A systematization of the evolution of the body of knowledge about Quality of Information embedded in the Root Cause Analysis was accomplished. An adverse event reporting and learning system

  18. Medication errors: definitions and classification

    PubMed Central

    Aronson, Jeffrey K

    2009-01-01

    To understand medication errors and to identify preventive strategies, we need to classify them and define the terms that describe them. The four main approaches to defining technical terms consider etymology, usage, previous definitions, and the Ramsey–Lewis method (based on an understanding of theory and practice). A medication error is ‘a failure in the treatment process that leads to, or has the potential to lead to, harm to the patient’. Prescribing faults, a subset of medication errors, should be distinguished from prescription errors. A prescribing fault is ‘a failure in the prescribing [decision-making] process that leads to, or has the potential to lead to, harm to the patient’. The converse of this, ‘balanced prescribing’ is ‘the use of a medicine that is appropriate to the patient's condition and, within the limits created by the uncertainty that attends therapeutic decisions, in a dosage regimen that optimizes the balance of benefit to harm’. This excludes all forms of prescribing faults, such as irrational, inappropriate, and ineffective prescribing, underprescribing and overprescribing. A prescription error is ‘a failure in the prescription writing process that results in a wrong instruction about one or more of the normal features of a prescription’. The ‘normal features’ include the identity of the recipient, the identity of the drug, the formulation, dose, route, timing, frequency, and duration of administration. Medication errors can be classified, invoking psychological theory, as knowledge-based mistakes, rule-based mistakes, action-based slips, and memory-based lapses. This classification informs preventive strategies. PMID:19594526

  19. 38 CFR 17.241 - Sharing medical information services.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 38 Pensions, Bonuses, and Veterans' Relief 1 2012-07-01 2012-07-01 false Sharing medical... AFFAIRS MEDICAL Sharing of Medical Facilities, Equipment, and Information § 17.241 Sharing medical... Under Secretary for Health shall prescribe, Directors of Department of Veterans Affairs medical centers...

  20. Proportion of medication error reporting and associated factors among nurses: a cross sectional study.

    PubMed

    Jember, Abebaw; Hailu, Mignote; Messele, Anteneh; Demeke, Tesfaye; Hassen, Mohammed

    2018-01-01

    A medication error (ME) is any preventable event that may cause or lead to inappropriate medication use or patient harm. Voluntary reporting has a principal role in appreciating the extent and impact of medication errors. Thus, exploration of the proportion of medication error reporting and associated factors among nurses is important to inform service providers and program implementers so as to improve the quality of the healthcare services. Institution based quantitative cross-sectional study was conducted among 397 nurses from March 6 to May 10, 2015. Stratified sampling followed by simple random sampling technique was used to select the study participants. The data were collected using structured self-administered questionnaire which was adopted from studies conducted in Australia and Jordan. A pilot study was carried out to validate the questionnaire before data collection for this study. Bivariate and multivariate logistic regression models were fitted to identify factors associated with the proportion of medication error reporting among nurses. An adjusted odds ratio with 95% confidence interval was computed to determine the level of significance. The proportion of medication error reporting among nurses was found to be 57.4%. Regression analysis showed that sex, marital status, having made a medication error and medication error experience were significantly associated with medication error reporting. The proportion of medication error reporting among nurses in this study was found to be higher than other studies.

  1. Medication errors reported to the National Medication Error Reporting System in Malaysia: a 4-year retrospective review (2009 to 2012).

    PubMed

    Samsiah, A; Othman, Noordin; Jamshed, Shazia; Hassali, Mohamed Azmi; Wan-Mohaina, W M

    2016-12-01

    Reporting and analysing the data on medication errors (MEs) is important and contributes to a better understanding of the error-prone environment. This study aims to examine the characteristics of errors submitted to the National Medication Error Reporting System (MERS) in Malaysia. A retrospective review of reports received from 1 January 2009 to 31 December 2012 was undertaken. Descriptive statistics method was applied. A total of 17,357 MEs reported were reviewed. The majority of errors were from public-funded hospitals. Near misses were classified in 86.3 % of the errors. The majority of errors (98.1 %) had no harmful effects on the patients. Prescribing contributed to more than three-quarters of the overall errors (76.1 %). Pharmacists detected and reported the majority of errors (92.1 %). Cases of erroneous dosage or strength of medicine (30.75 %) were the leading type of error, whilst cardiovascular (25.4 %) was the most common category of drug found. MERS provides rich information on the characteristics of reported MEs. Low contribution to reporting from healthcare facilities other than government hospitals and non-pharmacists requires further investigation. Thus, a feasible approach to promote MERS among healthcare providers in both public and private sectors needs to be formulated and strengthened. Preventive measures to minimise MEs should be directed to improve prescribing competency among the fallible prescribers identified.

  2. The spectrum of medical errors: when patients sue

    PubMed Central

    Kels, Barry D; Grant-Kels, Jane M

    2012-01-01

    Inarguably medical errors constitute a serious, dangerous, and expensive problem for the twenty-first-century US health care system. This review examines the incidence, nature, and complexity of alleged medical negligence and medical malpractice. The authors hope this will constitute a road map to medical providers so that they can better understand the present climate and hopefully avoid the “Scylla and Charybdis” of medical errors and medical malpractice. Despite some documented success in reducing medical errors, adverse events and medical errors continue to represent an indelible stain upon the practice, reputation, and success of the US health care industry. In that regard, what may be required to successfully attack the unacceptably high severity and volume of medical errors is a locally directed and organized initiative sponsored by individual health care organizations that is coordinated, supported, and guided by state and federal governmental and nongovernmental agencies. PMID:22924008

  3. Medication Administration Errors in Nursing Homes Using an Automated Medication Dispensing System

    PubMed Central

    van den Bemt, Patricia M.L.A.; Idzinga, Jetske C.; Robertz, Hans; Kormelink, Dennis Groot; Pels, Neske

    2009-01-01

    Objective To identify the frequency of medication administration errors as well as their potential risk factors in nursing homes using a distribution robot. Design The study was a prospective, observational study conducted within three nursing homes in the Netherlands caring for 180 individuals. Measurements Medication errors were measured using the disguised observation technique. Types of medication errors were described. The correlation between several potential risk factors and the occurrence of medication errors was studied to identify potential causes for the errors. Results In total 2,025 medication administrations to 127 clients were observed. In these administrations 428 errors were observed (21.2%). The most frequently occurring types of errors were use of wrong administration techniques (especially incorrect crushing of medication and not supervising the intake of medication) and wrong time errors (administering the medication at least 1 h early or late).The potential risk factors female gender (odds ratio (OR) 1.39; 95% confidence interval (CI) 1.05–1.83), ATC medication class antibiotics (OR 11.11; 95% CI 2.66–46.50), medication crushed (OR 7.83; 95% CI 5.40–11.36), number of dosages/day/client (OR 1.03; 95% CI 1.01–1.05), nursing home 2 (OR 3.97; 95% CI 2.86–5.50), medication not supplied by distribution robot (OR 2.92; 95% CI 2.04–4.18), time classes “7–10 am” (OR 2.28; 95% CI 1.50–3.47) and “10 am-2 pm” (OR 1.96; 1.18–3.27) and day of the week “Wednesday” (OR 1.46; 95% CI 1.03–2.07) are associated with a higher risk of administration errors. Conclusions Medication administration in nursing homes is prone to many errors. This study indicates that the handling of the medication after removing it from the robot packaging may contribute to this high error frequency, which may be reduced by training of nurse attendants, by automated clinical decision support and by measures to reduce workload. PMID:19390109

  4. Association of resident fatigue and distress with perceived medical errors.

    PubMed

    West, Colin P; Tan, Angelina D; Habermann, Thomas M; Sloan, Jeff A; Shanafelt, Tait D

    2009-09-23

    Fatigue and distress have been separately shown to be associated with medical errors. The contribution of each factor when assessed simultaneously is unknown. To determine the association of fatigue and distress with self-perceived major medical errors among resident physicians using validated metrics. Prospective longitudinal cohort study of categorical and preliminary internal medicine residents at Mayo Clinic, Rochester, Minnesota. Data were provided by 380 of 430 eligible residents (88.3%). Participants began training from 2003 to 2008 and completed surveys quarterly through February 2009. Surveys included self-assessment of medical errors, linear analog self-assessment of overall quality of life (QOL) and fatigue, the Maslach Burnout Inventory, the PRIME-MD depression screening instrument, and the Epworth Sleepiness Scale. Frequency of self-perceived, self-defined major medical errors was recorded. Associations of fatigue, QOL, burnout, and symptoms of depression with a subsequently reported major medical error were determined using generalized estimating equations for repeated measures. The mean response rate to individual surveys was 67.5%. Of the 356 participants providing error data (93.7%), 139 (39%) reported making at least 1 major medical error during the study period. In univariate analyses, there was an association of subsequent self-reported error with the Epworth Sleepiness Scale score (odds ratio [OR], 1.10 per unit increase; 95% confidence interval [CI], 1.03-1.16; P = .002) and fatigue score (OR, 1.14 per unit increase; 95% CI, 1.08-1.21; P < .001). Subsequent error was also associated with burnout (ORs per 1-unit change: depersonalization OR, 1.09; 95% CI, 1.05-1.12; P < .001; emotional exhaustion OR, 1.06; 95% CI, 1.04-1.08; P < .001; lower personal accomplishment OR, 0.94; 95% CI, 0.92-0.97; P < .001), a positive depression screen (OR, 2.56; 95% CI, 1.76-3.72; P < .001), and overall QOL (OR, 0.84 per unit increase; 95% CI, 0.79-0.91; P < .001

  5. Reflection of medical error highlighted on media in Turkey: A retrospective study

    PubMed Central

    Isik, Oguz; Bayin, Gamze; Ugurluoglu, Ozgur

    2016-01-01

    Objective: This study was performed with the aim of identifying how news on medical errors have be transmitted, and how the types, reasons, and conclusions of medical errors have been reflected to by the media in Turkey. Methods: A content analysis method was used in the study, and in this context, the data for the study was acquired by scanning five newspapers with the top editions on the national basis between the years 2012 and 2015 for the news about medical errors. Some specific selection criteria was used for the scanning of resulted news, and 116 news items acquired as a result of all the eliminations. Results: According to the results of the study; the vast majority of medical errors (40.5%) transmitted by the news resulted from the negligence of the medical staff. The medical errors were caused by physicians in the ratio of 74.1%, they most commonly occurred in state hospitals (31.9%). Another important result of the research was that medical errors resulted in either patient death to a large extent (51.7%), or permanent damage and disability to patients (25.0%). Conclusion: The news concerning medical errors provided information about the types, causes, and the results of these medical errors. It also reflected the media point of view on the issue. The examination of the content of the medical errors reported by the media were important which calls for appropriate interventions to avoid and minimize the occurrence of medical errors by improving the healthcare delivery system. PMID:27882026

  6. The effectiveness of risk management program on pediatric nurses' medication error.

    PubMed

    Dehghan-Nayeri, Nahid; Bayat, Fariba; Salehi, Tahmineh; Faghihzadeh, Soghrat

    2013-09-01

    Medication therapy is one of the most complex and high-risk clinical processes that nurses deal with. Medication error is the most common type of error that brings about damage and death to patients, especially pediatric ones. However, these errors are preventable. Identifying and preventing undesirable events leading to medication errors are the main risk management activities. The aim of this study was to investigate the effectiveness of a risk management program on the pediatric nurses' medication error rate. This study is a quasi-experimental one with a comparison group. In this study, 200 nurses were recruited from two main pediatric hospitals in Tehran. In the experimental hospital, we applied the risk management program for a period of 6 months. Nurses of the control hospital did the hospital routine schedule. A pre- and post-test was performed to measure the frequency of the medication error events. SPSS software, t-test, and regression analysis were used for data analysis. After the intervention, the medication error rate of nurses at the experimental hospital was significantly lower (P < 0.001) and the error-reporting rate was higher (P < 0.007) compared to before the intervention and also in comparison to the nurses of the control hospital. Based on the results of this study and taking into account the high-risk nature of the medical environment, applying the quality-control programs such as risk management can effectively prevent the occurrence of the hospital undesirable events. Nursing mangers can reduce the medication error rate by applying risk management programs. However, this program cannot succeed without nurses' cooperation.

  7. Paediatric Patient Safety and the Need for Aviation Black Box Thinking to Learn From and Prevent Medication Errors.

    PubMed

    Huynh, Chi; Wong, Ian C K; Correa-West, Jo; Terry, David; McCarthy, Suzanne

    2017-04-01

    Since the publication of To Err Is Human: Building a Safer Health System in 1999, there has been much research conducted into the epidemiology, nature and causes of medication errors in children, from prescribing and supply to administration. It is reassuring to see growing evidence of improving medication safety in children; however, based on media reports, it can be seen that serious and fatal medication errors still occur. This critical opinion article examines the problem of medication errors in children and provides recommendations for research, training of healthcare professionals and a culture shift towards dealing with medication errors. There are three factors that we need to consider to unravel what is missing and why fatal medication errors still occur. (1) Who is involved and affected by the medication error? (2) What factors hinder staff and organisations from learning from mistakes? Does the fear of litigation and criminal charges deter healthcare professionals from voluntarily reporting medication errors? (3) What are the educational needs required to prevent medication errors? It is important to educate future healthcare professionals about medication errors and human factors to prevent these from happening. Further research is required to apply aviation's 'black box' principles in healthcare to record and learn from near misses and errors to prevent future events. There is an urgent need for the black box investigations to be published and made public for the benefit of other organisations that may have similar potential risks for adverse events. International sharing of investigations and learning is also needed.

  8. The alarming reality of medication error: a patient case and review of Pennsylvania and National data.

    PubMed

    da Silva, Brianna A; Krishnamurthy, Mahesh

    2016-01-01

    A 71-year-old female accidentally received thiothixene (Navane), an antipsychotic, instead of her anti-hypertensive medication amlodipine (Norvasc) for 3 months. She sustained physical and psychological harm including ambulatory dysfunction, tremors, mood swings, and personality changes. Despite the many opportunities for intervention, multiple health care providers overlooked her symptoms. Errors occurred at multiple care levels, including prescribing, initial pharmacy dispensation, hospitalization, and subsequent outpatient follow-up. This exemplifies the Swiss Cheese Model of how errors can occur within a system. Adverse drug events (ADEs) account for more than 3.5 million physician office visits and 1 million emergency department visits each year. It is believed that preventable medication errors impact more than 7 million patients and cost almost $21 billion annually across all care settings. About 30% of hospitalized patients have at least one discrepancy on discharge medication reconciliation. Medication errors and ADEs are an underreported burden that adversely affects patients, providers, and the economy. Medication reconciliation including an 'indication review' for each prescription is an important aspect of patient safety. The decreasing frequency of pill bottle reviews, suboptimal patient education, and poor communication between healthcare providers are factors that threaten patient safety. Medication error and ADEs cost billions of health care dollars and are detrimental to the provider-patient relationship.

  9. Using incident reports to inform the prevention of medication administration errors.

    PubMed

    Härkänen, Marja; Saano, Susanna; Vehviläinen-Julkunen, Katri

    2017-11-01

    To describe ways of preventing medication administration errors based on reporters' views expressed in medication administration incident reports. Medication administration errors are very common, and nurses play important roles in committing and in preventing such errors. Thus far, incident reporters' perceptions of how to prevent medication administration errors have rarely been analysed. This is a qualitative, descriptive study using an inductive content analysis of the incident reports related to medication administration errors (n = 1012). These free-text descriptions include reporters' views on preventing the reoccurrence of medication administration errors. The data were collected from two hospitals in Finland and pertain to incidents that were reported between 1 January 2013 and 31 December 2014. Reporters' views on preventing medication administration errors were divided into three main categories related to individuals (health professionals), teams and organisations. The following categories related to individuals in preventing medication administration errors were identified: (1) accuracy and preciseness; (2) verification; and (3) following the guidelines, responsibility and attitude towards work. The team categories were as follows: (1) distribution of work; (2) flow of information and cooperation; and (3) documenting and marking the drug information. The categories related to organisation were as follows: (1) work environment; (2) resources; (3) training; (4) guidelines; and (5) development of the work. Health professionals should administer medication with a high moral awareness and an attempt to concentrate on the task. Nonetheless, the system should support health professionals by providing a reasonable work environment and encouraging collaboration among the providers to facilitate the safe administration of medication. Although there are numerous approaches to supporting medication safety, approaches that support the ability of individual health

  10. Sharing prescription medication among teenage girls: potential danger to unplanned/undiagnosed pregnancies.

    PubMed

    Daniel, Katherine Lyon; Honein, Margaret A; Moore, Cynthia A

    2003-05-01

    The objective of this study was to determine how often children and adolescents share prescription medications and, because of teratogenic concerns, assess specific reasons why girls might engage in medication-sharing behaviors. Data were collected as part of Youthstyles, a mail survey of children and adolescents 9 through 18 years of age (764 girls and 804 boys) about health issues, attitudinal variables, and media preferences. Information collected by the survey included the respondent's history of borrowing or sharing prescription medications, the frequency with which sharing occurred, the reasons why medications might be borrowed or shared, and who influences their decisions to borrow or share medication. A total of 20.1% of girls and 13.4% of boys reported ever borrowing or sharing medications. Of the girls surveyed, 15.7% reported borrowing prescription medications from others, and 14.5% reported sharing their prescription medication with someone else. The reported likelihood of sharing increased with age. Medication sharing or borrowing was not a "one time only" emergency use for many: 7.3% of girls 15 through 18 years of age had shared medications >3 times. Reasons that girls gave for why they would share medications included having a prescription for the same medicine (40.2%), getting the medication from a family member (33.4%), having the same problem as the person who had the medication (29%), or wanting something strong for pimples or oily skin (10.5%). Medication sharing is relatively common among children and adolescents and is more common among girls than boys. An adolescent who receives a medication via sharing does not receive the appropriate information about its actions and possible negative interactions with other medications or any other associated risks. Sharing potentially teratogenic drugs is of special concern. Many barriers exist to communicating the risk about teratogenic drugs to women and girls, particularly if they are not planning a

  11. Data sharing for public health research: A qualitative study of industry and academia.

    PubMed

    Saunders, Pamela A; Wilhelm, Erin E; Lee, Sinae; Merkhofer, Elizabeth; Shoulson, Ira

    2014-01-01

    Data sharing is a key biomedical research theme for the 21st century. Biomedical data sharing is the exchange of data among (non)affiliated parties under mutually agreeable terms to promote scientific advancement and the development of safe and effective medical products. Wide sharing of research data is important for scientific discovery, medical product development, and public health. Data sharing enables improvements in development of medical products, more attention to rare diseases, and cost-efficiencies in biomedical research. We interviewed 11 participants about their attitudes and beliefs about data sharing. Using a qualitative, thematic analysis approach, our analysis revealed a number of themes including: experiences, approaches, perceived challenges, and opportunities for sharing data.

  12. (How) do we learn from errors? A prospective study of the link between the ward's learning practices and medication administration errors.

    PubMed

    Drach-Zahavy, A; Somech, A; Admi, H; Peterfreund, I; Peker, H; Priente, O

    2014-03-01

    Attention in the ward should shift from preventing medication administration errors to managing them. Nevertheless, little is known in regard with the practices nursing wards apply to learn from medication administration errors as a means of limiting them. To test the effectiveness of four types of learning practices, namely, non-integrated, integrated, supervisory and patchy learning practices in limiting medication administration errors. Data were collected from a convenient sample of 4 hospitals in Israel by multiple methods (observations and self-report questionnaires) at two time points. The sample included 76 wards (360 nurses). Medication administration error was defined as any deviation from prescribed medication processes and measured by a validated structured observation sheet. Wards' use of medication administration technologies, location of the medication station, and workload were observed; learning practices and demographics were measured by validated questionnaires. Results of the mixed linear model analysis indicated that the use of technology and quiet location of the medication cabinet were significantly associated with reduced medication administration errors (estimate=.03, p<.05 and estimate=-.17, p<.01 correspondingly), while workload was significantly linked to inflated medication administration errors (estimate=.04, p<.05). Of the learning practices, supervisory learning was the only practice significantly linked to reduced medication administration errors (estimate=-.04, p<.05). Integrated and patchy learning were significantly linked to higher levels of medication administration errors (estimate=-.03, p<.05 and estimate=-.04, p<.01 correspondingly). Non-integrated learning was not associated with it (p>.05). How wards manage errors might have implications for medication administration errors beyond the effects of typical individual, organizational and technology risk factors. Head nurse can facilitate learning from errors by "management by

  13. The importance of intra-hospital pharmacovigilance in the detection of medication errors

    PubMed

    Villegas, Francisco; Figueroa-Montero, David; Barbero-Becerra, Varenka; Juárez-Hernández, Eva; Uribe, Misael; Chávez-Tapia, Norberto; González-Chon, Octavio

    2018-01-01

    Hospitalized patients are susceptible to medication errors, which represent between the fourth and the sixth cause of death. The department of intra-hospital pharmacovigilance intervenes in the entire process of medication with the purpose to prevent, repair and assess damages. To analyze medication errors reported by Mexican Fundación Clínica Médica Sur pharmacovigilance system and their impact on patients. Prospective study carried out from 2012 to 2015, where medication prescriptions given to patients were recorded. Owing to heterogeneity, data were described as absolute numbers in a logarithmic scale. 292 932 prescriptions of 56 368 patients were analyzed, and 8.9% of medication errors were identified. The treating physician was responsible of 83.32% of medication errors, residents of 6.71% and interns of 0.09%. No error caused permanent damage or death. This is the pharmacovigilance study with the largest sample size reported. Copyright: © 2018 SecretarÍa de Salud.

  14. Preventable Medical Errors Driven Modeling of Medical Best Practice Guidance Systems.

    PubMed

    Ou, Andrew Y-Z; Jiang, Yu; Wu, Po-Liang; Sha, Lui; Berlin, Richard B

    2017-01-01

    In a medical environment such as Intensive Care Unit, there are many possible reasons to cause errors, and one important reason is the effect of human intellectual tasks. When designing an interactive healthcare system such as medical Cyber-Physical-Human Systems (CPHSystems), it is important to consider whether the system design can mitigate the errors caused by these tasks or not. In this paper, we first introduce five categories of generic intellectual tasks of humans, where tasks among each category may lead to potential medical errors. Then, we present an integrated modeling framework to model a medical CPHSystem and use UPPAAL as the foundation to integrate and verify the whole medical CPHSystem design models. With a verified and comprehensive model capturing the human intellectual tasks effects, we can design a more accurate and acceptable system. We use a cardiac arrest resuscitation guidance and navigation system (CAR-GNSystem) for such medical CPHSystem modeling. Experimental results show that the CPHSystem models help determine system design flaws and can mitigate the potential medical errors caused by the human intellectual tasks.

  15. The approach of Bayesian model indicates media awareness of medical errors

    NASA Astrophysics Data System (ADS)

    Ravichandran, K.; Arulchelvan, S.

    2016-06-01

    This research study brings out the factors behind the increase in medical malpractices in the Indian subcontinent in the present day environment and impacts of television media awareness towards it. Increased media reporting of medical malpractices and errors lead to hospitals taking corrective action and improve the quality of medical services that they provide. The model of Cultivation Theory can be used to measure the influence of media in creating awareness of medical errors. The patient's perceptions of various errors rendered by the medical industry from different parts of India were taken up for this study. Bayesian method was used for data analysis and it gives absolute values to indicate satisfaction of the recommended values. To find out the impact of maintaining medical records of a family online by the family doctor in reducing medical malpractices which creates the importance of service quality in medical industry through the ICT.

  16. Analyzing temozolomide medication errors: potentially fatal.

    PubMed

    Letarte, Nathalie; Gabay, Michael P; Bressler, Linda R; Long, Katie E; Stachnik, Joan M; Villano, J Lee

    2014-10-01

    The EORTC-NCIC regimen for glioblastoma requires different dosing of temozolomide (TMZ) during radiation and maintenance therapy. This complexity is exacerbated by the availability of multiple TMZ capsule strengths. TMZ is an alkylating agent and the major toxicity of this class is dose-related myelosuppression. Inadvertent overdose can be fatal. The websites of the Institute for Safe Medication Practices (ISMP), and the Food and Drug Administration (FDA) MedWatch database were reviewed. We searched the MedWatch database for adverse events associated with TMZ and obtained all reports including hematologic toxicity submitted from 1st November 1997 to 30th May 2012. The ISMP describes errors with TMZ resulting from the positioning of information on the label of the commercial product. The strength and quantity of capsules on the label were in close proximity to each other, and this has been changed by the manufacturer. MedWatch identified 45 medication errors. Patient errors were the most common, accounting for 21 or 47% of errors, followed by dispensing errors, which accounted for 13 or 29%. Seven reports or 16% were errors in the prescribing of TMZ. Reported outcomes ranged from reversible hematological adverse events (13%), to hospitalization for other adverse events (13%) or death (18%). Four error reports lacked detail and could not be categorized. Although the FDA issued a warning in 2003 regarding fatal medication errors and the product label warns of overdosing, errors in TMZ dosing occur for various reasons and involve both healthcare professionals and patients. Overdosing errors can be fatal.

  17. Patient cost sharing and medical expenditures for the Elderly.

    PubMed

    Fukushima, Kazuya; Mizuoka, Sou; Yamamoto, Shunsuke; Iizuka, Toshiaki

    2016-01-01

    Despite the rapidly aging population, relatively little is known about how cost sharing affects the elderly's medical spending. Exploiting longitudinal claims data and the drastic reduction of coinsurance from 30% to 10% at age 70 in Japan, we find that the elderly's demand responses are heterogeneous in ways that have not been previously reported. Outpatient services by orthopedic and eye specialties, which will continue to increase in an aging society, are particularly price responsive and account for a large share of the spending increase. Lower cost sharing increases demand for brand-name drugs but not for generics. These high price elasticities may call for different cost-sharing rules for these services. Patient health status also matters: receiving medical services appears more discretionary for the healthy than the sick in the outpatient setting. Finally, we found no evidence that additional medical spending improved short-term health outcomes. Copyright © 2015 Elsevier B.V. All rights reserved.

  18. Prevalence of Sharing Access Credentials in Electronic Medical Records

    PubMed Central

    Korach, Tzfania; Shreberk-Hassidim, Rony; Thomaidou, Elena; Uzefovsky, Florina; Ayal, Shahar; Ariely, Dan

    2017-01-01

    Objectives Confidentiality of health information is an important aspect of the physician patient relationship. The use of digital medical records has made data much more accessible. To prevent data leakage, many countries have created regulations regarding medical data accessibility. These regulations require a unique user ID for each medical staff member, and this must be protected by a password, which should be kept undisclosed by all means. Methods We performed a four-question Google Forms-based survey of medical staff. In the survey, each participant was asked if he/she ever obtained the password of another medical staff member. Then, we asked how many times such an episode occurred and the reason for it. Results A total of 299 surveys were gathered. The responses showed that 220 (73.6%) participants reported that they had obtained the password of another medical staff member. Only 171 (57.2%) estimated how many time it happened, with an average estimation of 4.75 episodes. All the residents that took part in the study (45, 15%) had obtained the password of another medical staff member, while only 57.5% (38/66) of the nurses reported this. Conclusions The use of unique user IDs and passwords to defend the privacy of medical data is a common requirement in medical organizations. Unfortunately, the use of passwords is doomed because medical staff members share their passwords with one another. Strict regulations requiring each staff member to have it's a unique user ID might lead to password sharing and to a decrease in data safety. PMID:28875052

  19. Factors influencing physicians' knowledge sharing on web medical forums.

    PubMed

    Lin, Tung Cheng; Lai, Ming Cheng; Yang, Shu Wen

    2016-09-01

    Web medical forums are relatively unique as knowledge-sharing platforms because physicians participate exclusively as knowledge contributors and not as knowledge recipients. Using the perspective of social exchange theory and considering both extrinsic and intrinsic motivations, this study aims to elicit the factors that significantly influence the willingness of physicians to share professional knowledge on web medical forums and develops a research model to explore the motivations that underlie physicians' knowledge-sharing attitudes. This model hypothesizes that constructs, including shared vision, reputation, altruism, and self-efficacy, positively influence these attitudes and, by extension, positively impact knowledge-sharing intention. A conventional sampling method and the direct recruitment of physicians at their outpatient clinic gathered valid data from a total of 164 physicians for analysis in the model. The empirical results support the validity of the proposed model and identified shared vision as the most significant factor of influence on knowledge-sharing attitudes, followed in descending order by knowledge-sharing self-efficacy, reputation, and altruism. © The Author(s) 2015.

  20. Beyond Abuse and Exposure: Framing the Impact of Prescription-Medication Sharing

    PubMed Central

    Goldsworthy, Richard C.; Schwartz, Nancy C.; Mayhorn, Christopher B.

    2008-01-01

    Objectives. We sought to document the frequency, circumstances, and consequences of prescription medication–sharing behaviors and to use a medication-sharing impact framework to organize the resulting data regarding medication-loaning and -borrowing practices. Methods. One-on-one interviews were conducted in 2006, and participants indicated (1) prescription medicine taken in the past year, (2) whether they had previously loaned or borrowed prescription medicine, (3) scenarios in which they would consider loaning or borrowing prescription medicine, and (4) the types of prescription medicines they had loaned or borrowed. Results. Of the 700 participants, 22.9% reported having loaned their medications to someone else and 26.9% reported having borrowed someone else’s prescription. An even greater proportion of participants reported situations in which medication sharing was acceptable to them. Conclusions. Sharing prescription medication places individuals at risk for diverse consequences, and further research regarding medication loaning and borrowing behaviors and their associated consequences is merited. PMID:18445792

  1. Impact of an electronic medication administration record on medication administration efficiency and errors.

    PubMed

    McComas, Jeffery; Riingen, Michelle; Chae Kim, Son

    2014-12-01

    The study aims were to evaluate the impact of electronic medication administration record implementation on medication administration efficiency and occurrence of medication errors as well as to identify the predictors of medication administration efficiency in an acute care setting. A prospective, observational study utilizing time-and-motion technique was conducted before and after electronic medication administration record implementation in November 2011. A total of 156 cases of medication administration activities (78 pre- and 78 post-electronic medication administration record) involving 38 nurses were observed at the point of care. A separate retrospective review of the hospital Midas+ medication error database was also performed to collect the rates and origin of medication errors for 6 months before and after electronic medication administration record implementation. The mean medication administration time actually increased from 11.3 to 14.4 minutes post-electronic medication administration record (P = .039). In a multivariate analysis, electronic medication administration record was not a predictor of medication administration time, but the distractions/interruptions during medication administration process were significant predictors. The mean hospital-wide medication errors significantly decreased from 11.0 to 5.3 events per month post-electronic medication administration record (P = .034). Although no improvement in medication administration efficiency was observed, electronic medication administration record improved the quality of care with a significant decrease in medication errors.

  2. Medication errors in a rural hospital.

    PubMed

    Madegowda, Bharathi; Hill, Pamela D; Anderson, Mary Ann

    2007-06-01

    The purpose of this investigation was to compare and contrast three nursing shifts in a small rural Midwestern hospital with regard to the number of reported medication errors, the units on which they occurred, and the types and severity of errors. Results can be beneficial in planning and implementing a quality improvement program in the area of medication administration with the nursing staff.

  3. Economic measurement of medical errors using a hospital claims database.

    PubMed

    David, Guy; Gunnarsson, Candace L; Waters, Heidi C; Horblyuk, Ruslan; Kaplan, Harold S

    2013-01-01

    The primary objective of this study was to estimate the occurrence and costs of medical errors from the hospital perspective. Methods from a recent actuarial study of medical errors were used to identify medical injuries. A visit qualified as an injury visit if at least 1 of 97 injury groupings occurred at that visit, and the percentage of injuries caused by medical error was estimated. Visits with more than four injuries were removed from the population to avoid overestimation of cost. Population estimates were extrapolated from the Premier hospital database to all US acute care hospitals. There were an estimated 161,655 medical errors in 2008 and 170,201 medical errors in 2009. Extrapolated to the entire US population, there were more than 4 million unique injury visits containing more than 1 million unique medical errors each year. This analysis estimated that the total annual cost of measurable medical errors in the United States was $985 million in 2008 and just over $1 billion in 2009. The median cost per error to hospitals was $892 for 2008 and rose to $939 in 2009. Nearly one third of all medical injuries were due to error in each year. Medical errors directly impact patient outcomes and hospitals' profitability, especially since 2008 when Medicare stopped reimbursing hospitals for care related to certain preventable medical errors. Hospitals must rigorously analyze causes of medical errors and implement comprehensive preventative programs to reduce their occurrence as the financial burden of medical errors shifts to hospitals. Copyright © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

  4. Ethics in the Pediatric Emergency Department: When Mistakes Happen: An Approach to the Process, Evaluation, and Response to Medical Errors.

    PubMed

    Dreisinger, Naomi; Zapolsky, Nathan

    2017-02-01

    The emergency department (ED) is an environment that is conducive to medical errors. The ED is a time-pressured environment where physicians aim to rapidly evaluate and treat patients. Quick thinking and problem-based solutions are often used to assist in evaluation and diagnosis. Error analysis leads to an understanding of the cause of a medical error and is important to prevent future errors. Research suggests mechanisms to prevent medical errors in the pediatric ED, but prevention is not always possible. Transparency about errors is necessary to assure a trusting doctor-patient relationship. Patients want to be informed about all errors, and apologies are hard. Apologizing for a significant medical error that may have caused a complication is even harder. Having a systematic way to go about apologizing makes the process easier, and helps assure that the right information is relayed to the patient and his or her family. This creates an environment of autonomy and shared decision making that is ultimately beneficial to all aspects of patient care.

  5. A classification of errors in lay comprehension of medical documents.

    PubMed

    Keselman, Alla; Smith, Catherine Arnott

    2012-12-01

    Emphasis on participatory medicine requires that patients and consumers participate in tasks traditionally reserved for healthcare providers. This includes reading and comprehending medical documents, often but not necessarily in the context of interacting with Personal Health Records (PHRs). Research suggests that while giving patients access to medical documents has many benefits (e.g., improved patient-provider communication), lay people often have difficulty understanding medical information. Informatics can address the problem by developing tools that support comprehension; this requires in-depth understanding of the nature and causes of errors that lay people make when comprehending clinical documents. The objective of this study was to develop a classification scheme of comprehension errors, based on lay individuals' retellings of two documents containing clinical text: a description of a clinical trial and a typical office visit note. While not comprehensive, the scheme can serve as a foundation of further development of a taxonomy of patients' comprehension errors. Eighty participants, all healthy volunteers, read and retold two medical documents. A data-driven content analysis procedure was used to extract and classify retelling errors. The resulting hierarchical classification scheme contains nine categories and 23 subcategories. The most common error made by the participants involved incorrectly recalling brand names of medications. Other common errors included misunderstanding clinical concepts, misreporting the objective of a clinical research study and physician's findings during a patient's visit, and confusing and misspelling clinical terms. A combination of informatics support and health education is likely to improve the accuracy of lay comprehension of medical documents. Published by Elsevier Inc.

  6. Descriptive analysis of medication errors reported to the Egyptian national online reporting system during six months.

    PubMed

    Shehata, Zahraa Hassan Abdelrahman; Sabri, Nagwa Ali; Elmelegy, Ahmed Abdelsalam

    2016-03-01

    This study analyzes reports to the Egyptian medication error (ME) reporting system from June to December 2014. Fifty hospital pharmacists received training on ME reporting using the national reporting system. All received reports were reviewed and analyzed. The pieces of data analyzed were patient age, gender, clinical setting, stage, type, medication(s), outcome, cause(s), and recommendation(s). Over the course of 6 months, 12,000 valid reports were gathered and included in this analysis. The majority (66%) came from inpatient settings, while 23% came from intensive care units, and 11% came from outpatient departments. Prescribing errors were the most common type of MEs (54%), followed by monitoring (25%) and administration errors (16%). The most frequent error was incorrect dose (20%) followed by drug interactions, incorrect drug, and incorrect frequency. Most reports were potential (25%), prevented (11%), or harmless (51%) errors; only 13% of reported errors lead to patient harm. The top three medication classes involved in reported MEs were antibiotics, drugs acting on the central nervous system, and drugs acting on the cardiovascular system. Causes of MEs were mostly lack of knowledge, environmental factors, lack of drug information sources, and incomplete prescribing. Recommendations for addressing MEs were mainly staff training, local ME reporting, and improving work environment. There are common problems among different healthcare systems, so that sharing experiences on the national level is essential to enable learning from MEs. Internationally, there is a great need for standardizing ME terminology, to facilitate knowledge transfer. Underreporting, inaccurate reporting, and a lack of reporter diversity are some limitations of this study. Egypt now has a national database of MEs that allows researchers and decision makers to assess the problem, identify its root causes, and develop preventive strategies. © The Author 2015. Published by Oxford University

  7. Policies on documentation and disciplinary action in hospital pharmacies after a medication error.

    PubMed

    Bauman, A N; Pedersen, C A; Schommer, J C; Griffith, N L

    2001-06-15

    Hospital pharmacies were surveyed about policies on medication error documentation and actions taken against pharmacists involved in an error. The survey was mailed to 500 randomly selected hospital pharmacy directors in the United States. Data were collected on the existence of medication error reporting policies, what types of errors were documented and how, and hospital demographics. The response rate was 28%. Virtually all of the hospitals had policies and procedures for medication error reporting. Most commonly, documentation of oral and written reprimand was placed in the personnel file of a pharmacist involved in an error. One sixth of respondents had no policy on documentation or disciplinary action in the event of an error. Approximately one fourth of respondents reported that suspension or termination had been used as a form of disciplinary action; legal action was rarely used. Many respondents said errors that caused harm (42%) or death (40%) to the patient were documented in the personnel file, but 34% of hospitals did not document errors in the personnel file regardless of error type. Nearly three fourths of respondents differentiated between errors caught and not caught before a medication leaves the pharmacy and between errors caught and not caught before administration to the patient. More emphasis is needed on documentation of medication errors in hospital pharmacies.

  8. Reducing medication errors in critical care: a multimodal approach

    PubMed Central

    Kruer, Rachel M; Jarrell, Andrew S; Latif, Asad

    2014-01-01

    The Institute of Medicine has reported that medication errors are the single most common type of error in health care, representing 19% of all adverse events, while accounting for over 7,000 deaths annually. The frequency of medication errors in adult intensive care units can be as high as 947 per 1,000 patient-days, with a median of 105.9 per 1,000 patient-days. The formulation of drugs is a potential contributor to medication errors. Challenges related to drug formulation are specific to the various routes of medication administration, though errors associated with medication appearance and labeling occur among all drug formulations and routes of administration. Addressing these multifaceted challenges requires a multimodal approach. Changes in technology, training, systems, and safety culture are all strategies to potentially reduce medication errors related to drug formulation in the intensive care unit. PMID:25210478

  9. Medication administration error: magnitude and associated factors among nurses in Ethiopia.

    PubMed

    Feleke, Senafikish Amsalu; Mulatu, Muluadam Abebe; Yesmaw, Yeshaneh Seyoum

    2015-01-01

    The significant impact of medication administration errors affect patients in terms of morbidity, mortality, adverse drug events, and increased length of hospital stay. It also increases costs for clinicians and healthcare systems. Due to this, assessing the magnitude and associated factors of medication administration error has a significant contribution for improving the quality of patient care. The aim of this study was to assess the magnitude and associated factors of medication administration errors among nurses at the Felege Hiwot Referral Hospital inpatient department. A prospective, observation-based, cross-sectional study was conducted from March 24-April 7, 2014 at the Felege Hiwot Referral Hospital inpatient department. A total of 82 nurses were interviewed using a pre-tested structured questionnaire, and observed while administering 360 medications by using a checklist supplemented with a review of medication charts. Data were analyzed by using SPSS version 20 software package and logistic regression was done to identify possible factors associated with medication administration error. The incidence of medication administration error was 199 (56.4 %). The majority (87.5 %) of the medications have documentation error, followed by technique error 263 (73.1 %) and time error 193 (53.6 %). Variables which were significantly associated with medication administration error include nurses between the ages of 18-25 years [Adjusted Odds Ratio (AOR) = 2.9, 95 % CI (1.65,6.38)], 26-30 years [AOR = 2.3, 95 % CI (1.55, 7.26)] and 31-40 years [AOR = 2.1, 95 % CI (1.07, 4.12)], work experience of less than or equal to 10 years [AOR = 1.7, 95 % CI (1.33, 4.99)], nurse to patient ratio of 7-10 [AOR = 1.6, 95 % CI (1.44, 3.19)] and greater than 10 [AOR = 1.5, 95 % CI (1.38, 3.89)], interruption of the respondent at the time of medication administration [AOR = 1.5, 95 % CI (1.14, 3.21)], night shift of medication administration

  10. Attitudes Towards Data Collection, Ownership and Sharing Among Patients with Parkinson's Disease.

    PubMed

    Mursaleen, Leah Rose; Stamford, Jon Andrew; Jones, David Ashford; Windle, Richard; Isaacs, Tom

    2017-01-01

    The ownership and sharing of patient medical data is an increasingly contentious subject in medicine generally but also within the field of Parkinson's disease (PD). Despite being the providers of the medical data, patients are rarely consulted as to its usage. The objective of this paper is to establish patient attitudes to ownership of their own medical data and the sharing thereof. We report here the results of an online survey of people with Parkinson's. A total of 310 people took part in the 'sharing data' component of the survey, answering some or all of the questions for which they were eligible. Most respondents (208/306) were aged between 55 and 74 years. 55% of the sample were female and the mean number of years diagnosed was 7.1. Although 93% of respondents were willing to share data, only 41% were currently doing so and a further 8% did not know whether they were sharing any information in this way. There was a significant association between age and data sharing (p = 0.006). However, no clear relationship was found between data sharing and the number of years diagnosed, sex, medication class or health confidence. There was also no consensus among patients on ownership of, access to and usage of their research data. The lack of consensus on data ownership and general absence of clear demographic predictors of data sharing implies impaired communication pathways. We suggest that strategies directed towards improved communication may help to clarify data ownership and promote data sharing.

  11. Medical Data GRIDs as approach towards secure cross enterprise document sharing (based on IHE XDS).

    PubMed

    Wozak, Florian; Ammenwerth, Elske; Breu, Micheal; Penz, Robert; Schabetsberger, Thomas; Vogl, Raimund; Wurz, Manfred

    2006-01-01

    Quality and efficiency of health care services is expected to be improved by the electronic processing and trans-institutional availability of medical data. A prototype architecture based on the IHE-XDS profile is currently being developed. Due to legal and organizational requirements specific adaptations to the IHE-XDS profile have been made. In this work the services of the health@net reference architecture are described in details, which have been developed with focus on compliance to both, the IHE-XDS profile and the legal situation in Austria. We expect to gain knowledge about the development of a shared electronic health record using Medical Data Grids as an Open Source reference implementation and how proprietary Hospital Information systems can be integrated in this environment.

  12. Economic impact of medication error: a systematic review.

    PubMed

    Walsh, Elaine K; Hansen, Christina Raae; Sahm, Laura J; Kearney, Patricia M; Doherty, Edel; Bradley, Colin P

    2017-05-01

    Medication error is a significant source of morbidity and mortality among patients. Clinical and cost-effectiveness evidence are required for the implementation of quality of care interventions. Reduction of error-related cost is a key potential benefit of interventions addressing medication error. The aim of this review was to describe and quantify the economic burden associated with medication error. PubMed, Cochrane, Embase, CINAHL, EconLit, ABI/INFORM, Business Source Complete were searched. Studies published 2004-2016 assessing the economic impact of medication error were included. Cost values were expressed in Euro 2015. A narrative synthesis was performed. A total of 4572 articles were identified from database searching, and 16 were included in the review. One study met all applicable quality criteria. Fifteen studies expressed economic impact in monetary terms. Mean cost per error per study ranged from €2.58 to €111 727.08. Healthcare costs were used to measure economic impact in 15 of the included studies with one study measuring litigation costs. Four studies included costs incurred in primary care with the remaining 12 measuring hospital costs. Five studies looked at general medication error in a general population with 11 studies reporting the economic impact of an individual type of medication error or error within a specific patient population. Considerable variability existed between studies in terms of financial cost, patients, settings and errors included. Many were of poor quality. Assessment of economic impact was conducted predominantly in the hospital setting with little assessment of primary care impact. Limited parameters were used to establish economic impact. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

  13. Medication errors in paediatric care: a systematic review of epidemiology and an evaluation of evidence supporting reduction strategy recommendations

    PubMed Central

    Miller, Marlene R; Robinson, Karen A; Lubomski, Lisa H; Rinke, Michael L; Pronovost, Peter J

    2007-01-01

    Background Although children are at the greatest risk for medication errors, little is known about the overall epidemiology of these errors, where the gaps are in our knowledge, and to what extent national medication error reduction strategies focus on children. Objective To synthesise peer reviewed knowledge on children's medication errors and on recommendations to improve paediatric medication safety by a systematic literature review. Data sources PubMed, Embase and Cinahl from 1 January 2000 to 30 April 2005, and 11 national entities that have disseminated recommendations to improve medication safety. Study selection Inclusion criteria were peer reviewed original data in English language. Studies that did not separately report paediatric data were excluded. Data extraction Two reviewers screened articles for eligibility and for data extraction, and screened all national medication error reduction strategies for relevance to children. Data synthesis From 358 articles identified, 31 were included for data extraction. The definition of medication error was non‐uniform across the studies. Dispensing and administering errors were the most poorly and non‐uniformly evaluated. Overall, the distributional epidemiological estimates of the relative percentages of paediatric error types were: prescribing 3–37%, dispensing 5–58%, administering 72–75%, and documentation 17–21%. 26 unique recommendations for strategies to reduce medication errors were identified; none were based on paediatric evidence. Conclusions Medication errors occur across the entire spectrum of prescribing, dispensing, and administering, are common, and have a myriad of non‐evidence based potential reduction strategies. Further research in this area needs a firmer standardisation for items such as dose ranges and definitions of medication errors, broader scope beyond inpatient prescribing errors, and prioritisation of implementation of medication error reduction strategies. PMID:17403758

  14. Using snowball sampling method with nurses to understand medication administration errors.

    PubMed

    Sheu, Shuh-Jen; Wei, Ien-Lan; Chen, Ching-Huey; Yu, Shu; Tang, Fu-In

    2009-02-01

    We aimed to encourage nurses to release information about drug administration errors to increase understanding of error-related circumstances and to identify high-alert situations. Drug administration errors represent the majority of medication errors, but errors are underreported. Effective ways are lacking to encourage nurses to actively report errors. Snowball sampling was conducted to recruit participants. A semi-structured questionnaire was used to record types of error, hospital and nurse backgrounds, patient consequences, error discovery mechanisms and reporting rates. Eighty-five nurses participated, reporting 328 administration errors (259 actual, 69 near misses). Most errors occurred in medical surgical wards of teaching hospitals, during day shifts, committed by nurses working fewer than two years. Leading errors were wrong drugs and doses, each accounting for about one-third of total errors. Among 259 actual errors, 83.8% resulted in no adverse effects; among remaining 16.2%, 6.6% had mild consequences and 9.6% had serious consequences (severe reaction, coma, death). Actual errors and near misses were discovered mainly through double-check procedures by colleagues and nurses responsible for errors; reporting rates were 62.5% (162/259) vs. 50.7% (35/69) and only 3.5% (9/259) vs. 0% (0/69) were disclosed to patients and families. High-alert situations included administration of 15% KCl, insulin and Pitocin; using intravenous pumps; and implementation of cardiopulmonary resuscitation (CPR). Snowball sampling proved to be an effective way to encourage nurses to release details concerning medication errors. Using empirical data, we identified high-alert situations. Strategies for reducing drug administration errors by nurses are suggested. Survey results suggest that nurses should double check medication administration in known high-alert situations. Nursing management can use snowball sampling to gather error details from nurses in a non

  15. Medication Errors in Pediatric Anesthesia: A Report From the Wake Up Safe Quality Improvement Initiative.

    PubMed

    Lobaugh, Lauren M Y; Martin, Lizabeth D; Schleelein, Laura E; Tyler, Donald C; Litman, Ronald S

    2017-09-01

    Wake Up Safe is a quality improvement initiative of the Society for Pediatric Anesthesia that contains a deidentified registry of serious adverse events occurring in pediatric anesthesia. The aim of this study was to describe and characterize reported medication errors to find common patterns amenable to preventative strategies. In September 2016, we analyzed approximately 6 years' worth of medication error events reported to Wake Up Safe. Medication errors were classified by: (1) medication category; (2) error type by phase of administration: prescribing, preparation, or administration; (3) bolus or infusion error; (4) provider type and level of training; (5) harm as defined by the National Coordinating Council for Medication Error Reporting and Prevention; and (6) perceived preventability. From 2010 to the time of our data analysis in September 2016, 32 institutions had joined and submitted data on 2087 adverse events during 2,316,635 anesthetics. These reports contained details of 276 medication errors, which comprised the third highest category of events behind cardiac and respiratory related events. Medication errors most commonly involved opioids and sedative/hypnotics. When categorized by phase of handling, 30 events occurred during preparation, 67 during prescribing, and 179 during administration. The most common error type was accidental administration of the wrong dose (N = 84), followed by syringe swap (accidental administration of the wrong syringe, N = 49). Fifty-seven (21%) reported medication errors involved medications prepared as infusions as opposed to 1 time bolus administrations. Medication errors were committed by all types of anesthesia providers, most commonly by attendings. Over 80% of reported medication errors reached the patient and more than half of these events caused patient harm. Fifteen events (5%) required a life sustaining intervention. Nearly all cases (97%) were judged to be either likely or certainly preventable. Our findings

  16. Medication errors: problems and recommendations from a consensus meeting

    PubMed Central

    Agrawal, Abha; Aronson, Jeffrey K; Britten, Nicky; Ferner, Robin E; de Smet, Peter A; Fialová, Daniela; Fitzgerald, Richard J; Likić, Robert; Maxwell, Simon R; Meyboom, Ronald H; Minuz, Pietro; Onder, Graziano; Schachter, Michael; Velo, Giampaolo

    2009-01-01

    Here we discuss 15 recommendations for reducing the risks of medication errors: Provision of sufficient undergraduate learning opportunities to make medical students safe prescribers. Provision of opportunities for students to practise skills that help to reduce errors. Education of students about common types of medication errors and how to avoid them. Education of prescribers in taking accurate drug histories. Assessment in medical schools of prescribing knowledge and skills and demonstration that newly qualified doctors are safe prescribers. European harmonization of prescribing and safety recommendations and regulatory measures, with regular feedback about rational drug use. Comprehensive assessment of elderly patients for declining function. Exploration of low-dose regimens for elderly patients and preparation of special formulations as required. Training for all health-care professionals in drug use, adverse effects, and medication errors in elderly people. More involvement of pharmacists in clinical practice. Introduction of integrated prescription forms and national implementation in individual countries. Development of better monitoring systems for detecting medication errors, based on classification and analysis of spontaneous reports of previous reactions, and for investigating the possible role of medication errors when patients die. Use of IT systems, when available, to provide methods of avoiding medication errors; standardization, proper evaluation, and certification of clinical information systems. Nonjudgmental communication with patients about their concerns and elicitation of symptoms that they perceive to be adverse drug reactions. Avoidance of defensive reactions if patients mention symptoms resulting from medication errors. PMID:19594525

  17. [Pharmaceutical care strategies to prevent medication errors].

    PubMed

    Ucha-Samartín, Marisol; Martínez-López de Castro, Noemí; Troncoso-Mariño, Amelia; Campelo-Sánchez, Eva; Vázquez-López, Cristina; Inaraja-Bobo, María Teresa

    2009-08-01

    To evaluate the impact of implementing new programs to improve the quality of the pharmaceutical care and unit-dose distribution system for in-patients. An observational and prospective study was carried out in a general hospital during two different six-monthly period. Transcription and dispensation errors were evaluated in twelve wards during the first six months. Then, two new measures were introduced: the first- reference ward-pharmacist and the second-a new protocol for checking medication on the ward. Results were evaluated by SPSS v. 14 program. In the transcription evaluation, units without a ward pharmacist did not improve. Transcription errors significantly decreased in three units: gynaecology-urology (3.24% vs. 0.52%), orthopaedic (2% vs. 1.69%) and neurology-pneumology (2.81% vs. 2.02%). In dispensing, only units with the new protocol decreased their medication errors (1.77% vs. 1.24%). The participation of pharmacists in multidisciplinary teams and exhaustive protocols for dispensing medication were effective in detecting and decreasing medication errors in patients.

  18. 38 CFR 17.240 - Sharing specialized medical resources.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... medical resources. 17.240 Section 17.240 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Sharing of Medical Facilities, Equipment, and Information § 17.240 Sharing specialized medical resources. Subject to such terms and conditions as the Under Secretary for Health shall prescribe...

  19. 38 CFR 17.240 - Sharing specialized medical resources.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... medical resources. 17.240 Section 17.240 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL Sharing of Medical Facilities, Equipment, and Information § 17.240 Sharing specialized medical resources. Subject to such terms and conditions as the Under Secretary for Health shall prescribe...

  20. Automated Communication Tools and Computer-Based Medication Reconciliation to Decrease Hospital Discharge Medication Errors.

    PubMed

    Smith, Kenneth J; Handler, Steven M; Kapoor, Wishwa N; Martich, G Daniel; Reddy, Vivek K; Clark, Sunday

    2016-07-01

    This study sought to determine the effects of automated primary care physician (PCP) communication and patient safety tools, including computerized discharge medication reconciliation, on discharge medication errors and posthospitalization patient outcomes, using a pre-post quasi-experimental study design, in hospitalized medical patients with ≥2 comorbidities and ≥5 chronic medications, at a single center. The primary outcome was discharge medication errors, compared before and after rollout of these tools. Secondary outcomes were 30-day rehospitalization, emergency department visit, and PCP follow-up visit rates. This study found that discharge medication errors were lower post intervention (odds ratio = 0.57; 95% confidence interval = 0.44-0.74; P < .001). Clinically important errors, with the potential for serious or life-threatening harm, and 30-day patient outcomes were not significantly different between study periods. Thus, automated health system-based communication and patient safety tools, including computerized discharge medication reconciliation, decreased hospital discharge medication errors in medically complex patients. © The Author(s) 2015.

  1. Physician assistants and the disclosure of medical error.

    PubMed

    Brock, Douglas M; Quella, Alicia; Lipira, Lauren; Lu, Dave W; Gallagher, Thomas H

    2014-06-01

    Evolving state law, professional societies, and national guidelines, including those of the American Medical Association and Joint Commission, recommend that patients receive transparent communication when a medical error occurs. Recommendations for error disclosure typically consist of an explanation that an error has occurred, delivery of an explicit apology, an explanation of the facts around the event, its medical ramifications and how care will be managed, and a description of how similar errors will be prevented in the future. Although error disclosure is widely endorsed in the medical and nursing literature, there is little discussion of the unique role that the physician assistant (PA) might play in these interactions. PAs are trained in the medical model and technically practice under the supervision of a physician. They are also commonly integrated into interprofessional health care teams in surgical and urgent care settings. PA practice is characterized by widely varying degrees of provider autonomy. How PAs should collaborate with physicians in sensitive error disclosure conversations with patients is unclear. With the number of practicing PAs growing rapidly in nearly all domains of medicine, their role in the error disclosure process warrants exploration. The authors call for educational societies and accrediting agencies to support policy to establish guidelines for PA disclosure of error. They encourage medical and PA researchers to explore and report best-practice disclosure roles for PAs. Finally, they recommend that PA educational programs implement trainings in disclosure skills, and hospitals and supervising physicians provide and support training for practicing PAs.

  2. Clarification of terminology in medication errors: definitions and classification.

    PubMed

    Ferner, Robin E; Aronson, Jeffrey K

    2006-01-01

    We have previously described and analysed some terms that are used in drug safety and have proposed definitions. Here we discuss and define terms that are used in the field of medication errors, particularly terms that are sometimes misunderstood or misused. We also discuss the classification of medication errors. A medication error is a failure in the treatment process that leads to, or has the potential to lead to, harm to the patient. Errors can be classified according to whether they are mistakes, slips, or lapses. Mistakes are errors in the planning of an action. They can be knowledge based or rule based. Slips and lapses are errors in carrying out an action - a slip through an erroneous performance and a lapse through an erroneous memory. Classification of medication errors is important because the probabilities of errors of different classes are different, as are the potential remedies.

  3. Dealing with emotions: medical undergraduates' preferences in sharing their experiences.

    PubMed

    de Vries-Erich, Joy M; Dornan, Tim; Boerboom, Tobias B B; Jaarsma, A Debbie C; Helmich, Esther

    2016-08-01

    Patient care evokes emotional responses such as uncertainty, grief and pride in medical students. There is a need for opportunities to share and express such emotions because they influence students' professional development and well-being. There is a trend towards introducing mentor programmes into medical curricula. It remains unknown whether students are willing and able to share their emotional experiences within this formal setting. We set out to explore how medical students share their emotional experiences and why. We used thematic analysis, including purposeful sampling, parallel processes of data collection and constant comparative analysis, maintaining an audit trail for validation purposes. The study had a constructivist, interactional design and used Goffman's dramaturgical theory as an interpretive framework. Nineteen students participated in individual, semi-structured interviews. Participants' narratives revealed a preference for sharing emotional experiences away from people who might expect them to uphold formal behaviour. They deliberately decided with whom to share their emotional experiences. Participants had a preference to talk to fellow students working in the same department, or family and friends outside medical school. Participants found it difficult to uphold behaviours that they thought patients, preceptors or the organisation expected of them as future doctors. In adjusting their behaviour to meet those expectations, they became attuned to how to best present themselves based on the people present. This influenced how they chose which emotional experiences to share with whom. © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

  4. Using Six Sigma to reduce medication errors in a home-delivery pharmacy service.

    PubMed

    Castle, Lon; Franzblau-Isaac, Ellen; Paulsen, Jim

    2005-06-01

    Medco Health Solutions, Inc. conducted a project to reduce medication errors in its home-delivery service, which is composed of eight prescription-processing pharmacies, three dispensing pharmacies, and six call-center pharmacies. Medco uses the Six Sigma methodology to reduce process variation, establish procedures to monitor the effectiveness of medication safety programs, and determine when these efforts do not achieve performance goals. A team reviewed the processes in home-delivery pharmacy and suggested strategies to improve the data-collection and medication-dispensing practices. A variety of improvement activities were implemented, including a procedure for developing, reviewing, and enhancing sound-alike/look-alike (SALA) alerts and system enhancements to improve processing consistency across the pharmacies. "External nonconformances" were reduced for several categories of medication errors, including wrong-drug selection (33%), wrong directions (49%), and SALA errors (69%). Control charts demonstrated evidence of sustained process improvement and actual reduction in specific medication error elements. Establishing a continuous quality improvement process to ensure that medication errors are minimized is critical to any health care organization providing medication services.

  5. Medication errors with electronic prescribing (eP): Two views of the same picture

    PubMed Central

    2010-01-01

    Background Quantitative prospective methods are widely used to evaluate the impact of new technologies such as electronic prescribing (eP) on medication errors. However, they are labour-intensive and it is not always feasible to obtain pre-intervention data. Our objective was to compare the eP medication error picture obtained with retrospective quantitative and qualitative methods. Methods The study was carried out at one English district general hospital approximately two years after implementation of an integrated electronic prescribing, administration and records system. Quantitative: A structured retrospective analysis was carried out of clinical records and medication orders for 75 randomly selected patients admitted to three wards (medicine, surgery and paediatrics) six months after eP implementation. Qualitative: Eight doctors, 6 nurses, 8 pharmacy staff and 4 other staff at senior, middle and junior grades, and 19 adult patients on acute surgical and medical wards were interviewed. Staff interviews explored experiences of developing and working with the system; patient interviews focused on experiences of medicine prescribing and administration on the ward. Interview transcripts were searched systematically for accounts of medication incidents. A classification scheme was developed and applied to the errors identified in the records review. Results The two approaches produced similar pictures of the drug use process. Interviews identified types of error identified in the retrospective notes review plus two eP-specific errors which were not detected by record review. Interview data took less time to collect than record review, and provided rich data on the prescribing process, and reasons for delays or non-administration of medicines, including "once only" orders and "as required" medicines. Conclusions The qualitative approach provided more understanding of processes, and some insights into why medication errors can happen. The method is cost-effective and

  6. Adverse Drug Events caused by Serious Medication Administration Errors

    PubMed Central

    Sawarkar, Abhivyakti; Keohane, Carol A.; Maviglia, Saverio; Gandhi, Tejal K; Poon, Eric G

    2013-01-01

    OBJECTIVE To determine how often serious or life-threatening medication administration errors with the potential to cause patient harm (or potential adverse drug events) result in actual patient harm (or adverse drug events (ADEs)) in the hospital setting. DESIGN Retrospective chart review of clinical events that transpired following observed medication administration errors. BACKGROUND Medication errors are common at the medication administration stage for hospitalized patients. While many of these errors are considered capable of causing patient harm, it is not clear how often patients are actually harmed by these errors. METHODS In a previous study where 14,041 medication administrations in an acute-care hospital were directly observed, investigators discovered 1271 medication administration errors, of which 133 had the potential to cause serious or life-threatening harm to patients and were considered serious or life-threatening potential ADEs. In the current study, clinical reviewers conducted detailed chart reviews of cases where a serious or life-threatening potential ADE occurred to determine if an actual ADE developed following the potential ADE. Reviewers further assessed the severity of the ADE and attribution to the administration error. RESULTS Ten (7.5% [95% C.I. 6.98, 8.01]) actual adverse drug events or ADEs resulted from the 133 serious and life-threatening potential ADEs, of which 6 resulted in significant, three in serious, and one life threatening injury. Therefore 4 (3% [95% C.I. 2.12, 3.6]) serious and life threatening potential ADEs led to serious or life threatening ADEs. Half of the ten actual ADEs were caused by dosage or monitoring errors for anti-hypertensives. The life threatening ADE was caused by an error that was both a transcription and a timing error. CONCLUSION Potential ADEs at the medication administration stage can cause serious patient harm. Given previous estimates of serious or life-threatening potential ADE of 1.33 per 100

  7. Prevalence and cost of hospital medical errors in the general and elderly United States populations.

    PubMed

    Mallow, Peter J; Pandya, Bhavik; Horblyuk, Ruslan; Kaplan, Harold S

    2013-12-01

    The primary objective of this study was to quantify the differences in the prevalence rate and costs of hospital medical errors between the general population and an elderly population aged ≥65 years. Methods from an actuarial study of medical errors were modified to identify medical errors in the Premier Hospital Database using data from 2009. Visits with more than four medical errors were removed from the population to avoid over-estimation of cost. Prevalence rates were calculated based on the total number of inpatient visits. There were 3,466,596 total inpatient visits in 2009. Of these, 1,230,836 (36%) occurred in people aged ≥ 65. The prevalence rate was 49 medical errors per 1000 inpatient visits in the general cohort and 79 medical errors per 1000 inpatient visits for the elderly cohort. The top 10 medical errors accounted for more than 80% of the total in the general cohort and the 65+ cohort. The most costly medical error for the general population was postoperative infection ($569,287,000). Pressure ulcers were most costly ($347,166,257) in the elderly population. This study was conducted with a hospital administrative database, and assumptions were necessary to identify medical errors in the database. Further, there was no method to identify errors of omission or misdiagnoses within the database. This study indicates that prevalence of hospital medical errors for the elderly is greater than the general population and the associated cost of medical errors in the elderly population is quite substantial. Hospitals which further focus their attention on medical errors in the elderly population may see a significant reduction in costs due to medical errors as a disproportionate percentage of medical errors occur in this age group.

  8. Medication errors room: a simulation to assess the medical, nursing and pharmacy staffs' ability to identify errors related to the medication-use system.

    PubMed

    Daupin, Johanne; Atkinson, Suzanne; Bédard, Pascal; Pelchat, Véronique; Lebel, Denis; Bussières, Jean-François

    2016-12-01

    The medication-use system in hospitals is very complex. To improve the health professionals' awareness of the risks of errors related to the medication-use system, a simulation of medication errors was created. The main objective was to assess the medical, nursing and pharmacy staffs' ability to identify errors related to the medication-use system using a simulation. The secondary objective was to assess their level of satisfaction. This descriptive cross-sectional study was conducted in a 500-bed mother-and-child university hospital. A multidisciplinary group set up 30 situations and replicated a patient room and a care unit pharmacy. All hospital staff, including nurses, physicians, pharmacists and pharmacy technicians, was invited. Participants had to detect if a situation contained an error and fill out a response grid. They also answered a satisfaction survey. The simulation was held during 100 hours. A total of 230 professionals visited the simulation, 207 handed in a response grid and 136 answered the satisfaction survey. The participants' overall rate of correct answers was 67.5% ± 13.3% (4073/6036). Among the least detected errors were situations involving a Y-site infusion incompatibility, an oral syringe preparation and the patient's identification. Participants mainly considered the simulation as effective in identifying incorrect practices (132/136, 97.8%) and relevant to their practice (129/136, 95.6%). Most of them (114/136; 84.4%) intended to change their practices in view of their exposure to the simulation. We implemented a realistic medication-use system errors simulation in a mother-child hospital, with a wide audience. This simulation was an effective, relevant and innovative tool to raise the health care professionals' awareness of critical processes. © 2016 John Wiley & Sons, Ltd.

  9. Organizational safety culture and medical error reporting by Israeli nurses.

    PubMed

    Kagan, Ilya; Barnoy, Sivia

    2013-09-01

    To investigate the association between patient safety culture (PSC) and the incidence and reporting rate of medical errors by Israeli nurses. Self-administered structured questionnaires were distributed to a convenience sample of 247 registered nurses enrolled in training programs at Tel Aviv University (response rate = 91%). The questionnaire's three sections examined the incidence of medication mistakes in clinical practice, the reporting rate for these errors, and the participants' views and perceptions of the safety culture in their workplace at three levels (organizational, departmental, and individual performance). Pearson correlation coefficients, t tests, and multiple regression analysis were used to analyze the data. Most nurses encountered medical errors from a daily to a weekly basis. Six percent of the sample never reported their own errors, while half reported their own errors "rarely or sometimes." The level of PSC was positively and significantly correlated with the error reporting rate. PSC, place of birth, error incidence, and not having an academic nursing degree were significant predictors of error reporting, together explaining 28% of variance. This study confirms the influence of an organizational safety climate on readiness to report errors. Senior healthcare executives and managers can make a major impact on safety culture development by creating and promoting a vision and strategy for quality and safety and fostering their employees' motivation to implement improvement programs at the departmental and individual level. A positive, carefully designed organizational safety culture can encourage error reporting by staff and so improve patient safety. © 2013 Sigma Theta Tau International.

  10. A preliminary taxonomy of medical errors in family practice.

    PubMed

    Dovey, S M; Meyers, D S; Phillips, R L; Green, L A; Fryer, G E; Galliher, J M; Kappus, J; Grob, P

    2002-09-01

    To develop a preliminary taxonomy of primary care medical errors. Qualitative analysis to identify categories of error reported during a randomized controlled trial of computer and paper reporting methods. The National Network for Family Practice and Primary Care Research. Family physicians. Medical error category, context, and consequence. Forty two physicians made 344 reports: 284 (82.6%) arose from healthcare systems dysfunction; 46 (13.4%) were errors due to gaps in knowledge or skills; and 14 (4.1%) were reports of adverse events, not errors. The main subcategories were: administrative failure (102; 30.9% of errors), investigation failures (82; 24.8%), treatment delivery lapses (76; 23.0%), miscommunication (19; 5.8%), payment systems problems (4; 1.2%), error in the execution of a clinical task (19; 5.8%), wrong treatment decision (14; 4.2%), and wrong diagnosis (13; 3.9%). Most reports were of errors that were recognized and occurred in reporters' practices. Affected patients ranged in age from 8 months to 100 years, were of both sexes, and represented all major US ethnic groups. Almost half the reports were of events which had adverse consequences. Ten errors resulted in patients being admitted to hospital and one patient died. This medical error taxonomy, developed from self-reports of errors observed by family physicians during their routine clinical practice, emphasizes problems in healthcare processes and acknowledges medical errors arising from shortfalls in clinical knowledge and skills. Patient safety strategies with most effect in primary care settings need to be broader than the current focus on medication errors.

  11. Identifying medication error chains from critical incident reports: a new analytic approach.

    PubMed

    Huckels-Baumgart, Saskia; Manser, Tanja

    2014-10-01

    Research into the distribution of medication errors usually focuses on isolated stages within the medication use process. Our study aimed to provide a novel process-oriented approach to medication incident analysis focusing on medication error chains. Our study was conducted across a 900-bed teaching hospital in Switzerland. All reported 1,591 medication errors 2009-2012 were categorized using the Medication Error Index NCC MERP and the WHO Classification for Patient Safety Methodology. In order to identify medication error chains, each reported medication incident was allocated to the relevant stage of the hospital medication use process. Only 25.8% of the reported medication errors were detected before they propagated through the medication use process. The majority of medication errors (74.2%) formed an error chain encompassing two or more stages. The most frequent error chain comprised preparation up to and including medication administration (45.2%). "Non-consideration of documentation/prescribing" during the drug preparation was the most frequent contributor for "wrong dose" during the administration of medication. Medication error chains provide important insights for detecting and stopping medication errors before they reach the patient. Existing and new safety barriers need to be extended to interrupt error chains and to improve patient safety. © 2014, The American College of Clinical Pharmacology.

  12. A survey of community members' perceptions of medical errors in Oman

    PubMed Central

    Al-Mandhari, Ahmed S; Al-Shafaee, Mohammed A; Al-Azri, Mohammed H; Al-Zakwani, Ibrahim S; Khan, Mushtaq; Al-Waily, Ahmed M; Rizvi, Syed

    2008-01-01

    Background Errors have been the concern of providers and consumers of health care services. However, consumers' perception of medical errors in developing countries is rarely explored. The aim of this study is to assess community members' perceptions about medical errors and to analyse the factors affecting this perception in one Middle East country, Oman. Methods Face to face interviews were conducted with heads of 212 households in two villages in North Al-Batinah region of Oman selected because of close proximity to the Sultan Qaboos University (SQU), Muscat, Oman. Participants' perceived knowledge about medical errors was assessed. Responses were coded and categorised. Analyses were performed using Pearson's χ2, Fisher's exact tests, and multivariate logistic regression model wherever appropriate. Results Seventy-eight percent (n = 165) of participants believed they knew what was meant by medical errors. Of these, 34% and 26.5% related medical errors to wrong medications or diagnoses, respectively. Understanding of medical errors was correlated inversely with age and positively with family income. Multivariate logistic regression revealed that a one-year increase in age was associated with a 4% reduction in perceived knowledge of medical errors (CI: 1% to 7%; p = 0.045). The study found that 49% of those who believed they knew the meaning of medical errors had experienced such errors. The most common consequence of the errors was severe pain (45%). Of the 165 informed participants, 49% felt that an uncaring health care professional was the main cause of medical errors. Younger participants were able to list more possible causes of medical errors than were older subjects (Incident Rate Ratio of 0.98; p < 0.001). Conclusion The majority of participants believed they knew the meaning of medical errors. Younger participants were more likely to be aware of such errors and could list one or more causes. PMID:18664245

  13. Effects of skilled nursing facility structure and process factors on medication errors during nursing home admission.

    PubMed

    Lane, Sandi J; Troyer, Jennifer L; Dienemann, Jacqueline A; Laditka, Sarah B; Blanchette, Christopher M

    2014-01-01

    Older adults are at greatest risk of medication errors during the transition period of the first 7 days after admission and readmission to a skilled nursing facility (SNF). The aim of this study was to evaluate structure- and process-related factors that contribute to medication errors and harm during transition periods at a SNF. Data for medication errors and potential medication errors during the 7-day transition period for residents entering North Carolina SNFs were from the Medication Error Quality Initiative-Individual Error database from October 2006 to September 2007. The impact of SNF structure and process measures on the number of reported medication errors and harm from errors were examined using bivariate and multivariate model methods. A total of 138 SNFs reported 581 transition period medication errors; 73 (12.6%) caused harm. Chain affiliation was associated with a reduction in the volume of errors during the transition period. One third of all reported transition errors occurred during the medication administration phase of the medication use process, where dose omissions were the most common type of error; however, dose omissions caused harm less often than wrong-dose errors did. Prescribing errors were much less common than administration errors but were much more likely to cause harm. Both structure and process measures of quality were related to the volume of medication errors.However, process quality measures may play a more important role in predicting harm from errors during the transition of a resident into an SNF. Medication errors during transition could be reduced by improving both prescribing processes and transcription and documentation of orders.

  14. Do calculation errors by nurses cause medication errors in clinical practice? A literature review.

    PubMed

    Wright, Kerri

    2010-01-01

    This review aims to examine the literature available to ascertain whether medication errors in clinical practice are the result of nurses' miscalculating drug dosages. The research studies highlighting poor calculation skills of nurses and student nurses have been tested using written drug calculation tests in formal classroom settings [Kapborg, I., 1994. Calculation and administration of drug dosage by Swedish nurses, student nurses and physicians. International Journal for Quality in Health Care 6(4): 389 -395; Hutton, M., 1998. Nursing Mathematics: the importance of application Nursing Standard 13(11): 35-38; Weeks, K., Lynne, P., Torrance, C., 2000. Written drug dosage errors made by students: the threat to clinical effectiveness and the need for a new approach. Clinical Effectiveness in Nursing 4, 20-29]; Wright, K., 2004. Investigation to find strategies to improve student nurses' maths skills. British Journal Nursing 13(21) 1280-1287; Wright, K., 2005. An exploration into the most effective way to teach drug calculation skills to nursing students. Nurse Education Today 25, 430-436], but there have been no reviews of the literature on medication errors in practice that specifically look to see whether the medication errors are caused by nurses' poor calculation skills. The databases Medline, CINAHL, British Nursing Index (BNI), Journal of American Medical Association (JAMA) and Archives and Cochrane reviews were searched for research studies or systematic reviews which reported on the incidence or causes of drug errors in clinical practice. In total 33 articles met the criteria for this review. There were no studies that examined nurses' drug calculation errors in practice. As a result studies and systematic reviews that investigated the types and causes of drug errors were examined to establish whether miscalculations by nurses were the causes of errors. The review found insufficient evidence to suggest that medication errors are caused by nurses' poor

  15. Outcomes of a Failure Mode and Effects Analysis for medication errors in pediatric anesthesia.

    PubMed

    Martin, Lizabeth D; Grigg, Eliot B; Verma, Shilpa; Latham, Gregory J; Rampersad, Sally E; Martin, Lynn D

    2017-06-01

    The Institute of Medicine has called for development of strategies to prevent medication errors, which are one important cause of preventable harm. Although the field of anesthesiology is considered a leader in patient safety, recent data suggest high medication error rates in anesthesia practice. Unfortunately, few error prevention strategies for anesthesia providers have been implemented. Using Toyota Production System quality improvement methodology, a multidisciplinary team observed 133 h of medication practice in the operating room at a tertiary care freestanding children's hospital. A failure mode and effects analysis was conducted to systematically deconstruct and evaluate each medication handling process step and score possible failure modes to quantify areas of risk. A bundle of five targeted countermeasures were identified and implemented over 12 months. Improvements in syringe labeling (73 to 96%), standardization of medication organization in the anesthesia workspace (0 to 100%), and two-provider infusion checks (23 to 59%) were observed. Medication error reporting improved during the project and was subsequently maintained. After intervention, the median medication error rate decreased from 1.56 to 0.95 per 1000 anesthetics. The frequency of medication error harm events reaching the patient also decreased. Systematic evaluation and standardization of medication handling processes by anesthesia providers in the operating room can decrease medication errors and improve patient safety. © 2017 John Wiley & Sons Ltd.

  16. Identification of factors which affect the tendency towards and attitudes of emergency unit nurses to make medical errors.

    PubMed

    Kiymaz, Dilek; Koç, Zeliha

    2018-03-01

    To determine individual and professional factors affecting the tendency of emergency unit nurses to make medical errors and their attitudes towards these errors in Turkey. Compared with other units, the emergency unit is an environment where there is an increased tendency for making medical errors due to its intensive and rapid pace, noise and complex and dynamic structure. A descriptive cross-sectional study. The study was carried out from 25 July 2014-16 September 2015 with the participation of 284 nurses who volunteered to take part in the study. Data were gathered using the data collection survey for nurses, the Medical Error Tendency Scale and the Medical Error Attitude Scale. It was determined that 40.1% of the nurses previously witnessed medical errors, 19.4% made a medical error in the last year, 17.6% of medical errors were caused by medication errors where the wrong medication was administered in the wrong dose, and none of the nurses filled out a case report form about the medical errors they made. Regarding the factors that caused medical errors in the emergency unit, 91.2% of the nurses stated excessive workload as a cause; 85.1% stated an insufficient number of nurses; and 75.4% stated fatigue, exhaustion and burnout. The study showed that nurses who loved their job were satisfied with their unit and who always worked during day shifts had a lower medical error tendency. It is suggested to consider the following actions: increase awareness about medical errors, organise training to reduce errors in medication administration, develop procedures and protocols specific to the emergency unit health care and create an environment which is not punitive wherein nurses can safely report medical errors. © 2017 John Wiley & Sons Ltd.

  17. Medication errors in chemotherapy preparation and administration: a survey conducted among oncology nurses in Turkey.

    PubMed

    Ulas, Arife; Silay, Kamile; Akinci, Sema; Dede, Didem Sener; Akinci, Muhammed Bulent; Sendur, Mehmet Ali Nahit; Cubukcu, Erdem; Coskun, Hasan Senol; Degirmenci, Mustafa; Utkan, Gungor; Ozdemir, Nuriye; Isikdogan, Abdurrahman; Buyukcelik, Abdullah; Inanc, Mevlude; Bilici, Ahmet; Odabasi, Hatice; Cihan, Sener; Avci, Nilufer; Yalcin, Bulent

    2015-01-01

    Medication errors in oncology may cause severe clinical problems due to low therapeutic indices and high toxicity of chemotherapeutic agents. We aimed to investigate unintentional medication errors and underlying factors during chemotherapy preparation and administration based on a systematic survey conducted to reflect oncology nurses experience. This study was conducted in 18 adult chemotherapy units with volunteer participation of 206 nurses. A survey developed by primary investigators and medication errors (MAEs) defined preventable errors during prescription of medication, ordering, preparation or administration. The survey consisted of 4 parts: demographic features of nurses; workload of chemotherapy units; errors and their estimated monthly number during chemotherapy preparation and administration; and evaluation of the possible factors responsible from ME. The survey was conducted by face to face interview and data analyses were performed with descriptive statistics. Chi-square or Fisher exact tests were used for a comparative analysis of categorical data. Some 83.4% of the 210 nurses reported one or more than one error during chemotherapy preparation and administration. Prescribing or ordering wrong doses by physicians (65.7%) and noncompliance with administration sequences during chemotherapy administration (50.5%) were the most common errors. The most common estimated average monthly error was not following the administration sequence of the chemotherapeutic agents (4.1 times/month, range 1-20). The most important underlying reasons for medication errors were heavy workload (49.7%) and insufficient number of staff (36.5%). Our findings suggest that the probability of medication error is very high during chemotherapy preparation and administration, the most common involving prescribing and ordering errors. Further studies must address the strategies to minimize medication error in chemotherapy receiving patients, determine sufficient protective measures

  18. Disclosure of Medical Errors in Oman

    PubMed Central

    Norrish, Mark I. K.

    2015-01-01

    Objectives: This study aimed to provide insight into the preferences for and perceptions of medical error disclosure (MED) by members of the public in Oman. Methods: Between January and June 2012, an online survey was used to collect responses from 205 members of the public across five governorates of Oman. Results: A disclosure gap was revealed between the respondents’ preferences for MED and perceived current MED practices in Oman. This disclosure gap extended to both the type of error and the person most likely to disclose the error. Errors resulting in patient harm were found to have a strong influence on individuals’ perceived quality of care. In addition, full disclosure was found to be highly valued by respondents and able to mitigate for a perceived lack of care in cases where medical errors led to damages. Conclusion: The perceived disclosure gap between respondents’ MED preferences and perceptions of current MED practices in Oman needs to be addressed in order to increase public confidence in the national health care system. PMID:26052463

  19. A preliminary taxonomy of medical errors in family practice

    PubMed Central

    Dovey, S; Meyers, D; Phillips, R; Green, L; Fryer, G; Galliher, J; Kappus, J; Grob, P

    2002-01-01

    Objective: To develop a preliminary taxonomy of primary care medical errors. Design: Qualitative analysis to identify categories of error reported during a randomized controlled trial of computer and paper reporting methods. Setting: The National Network for Family Practice and Primary Care Research. Participants: Family physicians. Main outcome measures: Medical error category, context, and consequence. Results: Forty two physicians made 344 reports: 284 (82.6%) arose from healthcare systems dysfunction; 46 (13.4%) were errors due to gaps in knowledge or skills; and 14 (4.1%) were reports of adverse events, not errors. The main subcategories were: administrative failures (102; 30.9% of errors), investigation failures (82; 24.8%), treatment delivery lapses (76; 23.0%), miscommunication (19; 5.8%), payment systems problems (4; 1.2%), error in the execution of a clinical task (19; 5.8%), wrong treatment decision (14; 4.2%), and wrong diagnosis (13; 3.9%). Most reports were of errors that were recognized and occurred in reporters' practices. Affected patients ranged in age from 8 months to 100 years, were of both sexes, and represented all major US ethnic groups. Almost half the reports were of events which had adverse consequences. Ten errors resulted in patients being admitted to hospital and one patient died. Conclusions: This medical error taxonomy, developed from self-reports of errors observed by family physicians during their routine clinical practice, emphasizes problems in healthcare processes and acknowledges medical errors arising from shortfalls in clinical knowledge and skills. Patient safety strategies with most effect in primary care settings need to be broader than the current focus on medication errors. PMID:12486987

  20. Claims, errors, and compensation payments in medical malpractice litigation.

    PubMed

    Studdert, David M; Mello, Michelle M; Gawande, Atul A; Gandhi, Tejal K; Kachalia, Allen; Yoon, Catherine; Puopolo, Ann Louise; Brennan, Troyen A

    2006-05-11

    In the current debate over tort reform, critics of the medical malpractice system charge that frivolous litigation--claims that lack evidence of injury, substandard care, or both--is common and costly. Trained physicians reviewed a random sample of 1452 closed malpractice claims from five liability insurers to determine whether a medical injury had occurred and, if so, whether it was due to medical error. We analyzed the prevalence, characteristics, litigation outcomes, and costs of claims that lacked evidence of error. For 3 percent of the claims, there were no verifiable medical injuries, and 37 percent did not involve errors. Most of the claims that were not associated with errors (370 of 515 [72 percent]) or injuries (31 of 37 [84 percent]) did not result in compensation; most that involved injuries due to error did (653 of 889 [73 percent]). Payment of claims not involving errors occurred less frequently than did the converse form of inaccuracy--nonpayment of claims associated with errors. When claims not involving errors were compensated, payments were significantly lower on average than were payments for claims involving errors (313,205 dollars vs. 521,560 dollars, P=0.004). Overall, claims not involving errors accounted for 13 to 16 percent of the system's total monetary costs. For every dollar spent on compensation, 54 cents went to administrative expenses (including those involving lawyers, experts, and courts). Claims involving errors accounted for 78 percent of total administrative costs. Claims that lack evidence of error are not uncommon, but most are denied compensation. The vast majority of expenditures go toward litigation over errors and payment of them. The overhead costs of malpractice litigation are exorbitant. Copyright 2006 Massachusetts Medical Society.

  1. Strategic planning to reduce medical errors: Part I--diagnosis.

    PubMed

    Waldman, J Deane; Smith, Howard L

    2012-01-01

    Despite extensive dialogue and a continuing stream of proposed medical practice revisions, medical errors and adverse impacts persist. Connectivity of vital elements is often underestimated or not fully understood. This paper analyzes medical errors from a systems dynamics viewpoint (Part I). Our analysis suggests in Part II that the most fruitful strategies for dissolving medical errors include facilitating physician learning, educating patients about appropriate expectations surrounding treatment regimens, and creating "systematic" patient protections rather than depending on (nonexistent) perfect providers.

  2. Safety climate and attitude toward medication error reporting after hospital accreditation in South Korea.

    PubMed

    Lee, Eunjoo

    2016-09-01

    This study compared registered nurses' perceptions of safety climate and attitude toward medication error reporting before and after completing a hospital accreditation program. Medication errors are the most prevalent adverse events threatening patient safety; reducing underreporting of medication errors significantly improves patient safety. Safety climate in hospitals may affect medication error reporting. This study employed a longitudinal, descriptive design. Data were collected using questionnaires. A tertiary acute hospital in South Korea undergoing a hospital accreditation program. Nurses, pre- and post-accreditation (217 and 373); response rate: 58% and 87%, respectively. Hospital accreditation program. Perceived safety climate and attitude toward medication error reporting. The level of safety climate and attitude toward medication error reporting increased significantly following accreditation; however, measures of institutional leadership and management did not improve significantly. Participants' perception of safety climate was positively correlated with their attitude toward medication error reporting; this correlation strengthened following completion of the program. Improving hospitals' safety climate increased nurses' medication error reporting; interventions that help hospital administration and managers to provide more supportive leadership may facilitate safety climate improvement. Hospitals and their units should develop more friendly and intimate working environments that remove nurses' fear of penalties. Administration and managers should support nurses who report their own errors. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  3. FMEA: a model for reducing medical errors.

    PubMed

    Chiozza, Maria Laura; Ponzetti, Clemente

    2009-06-01

    Patient safety is a management issue, in view of the fact that clinical risk management has become an important part of hospital management. Failure Mode and Effect Analysis (FMEA) is a proactive technique for error detection and reduction, firstly introduced within the aerospace industry in the 1960s. Early applications in the health care industry dating back to the 1990s included critical systems in the development and manufacture of drugs and in the prevention of medication errors in hospitals. In 2008, the Technical Committee of the International Organization for Standardization (ISO), licensed a technical specification for medical laboratories suggesting FMEA as a method for prospective risk analysis of high-risk processes. Here we describe the main steps of the FMEA process and review data available on the application of this technique to laboratory medicine. A significant reduction of the risk priority number (RPN) was obtained when applying FMEA to blood cross-matching, to clinical chemistry analytes, as well as to point-of-care testing (POCT).

  4. Cache-based error recovery for shared memory multiprocessor systems

    NASA Technical Reports Server (NTRS)

    Wu, Kun-Lung; Fuchs, W. Kent; Patel, Janak H.

    1989-01-01

    A multiprocessor cache-based checkpointing and recovery scheme for of recovering from transient processor errors in a shared-memory multiprocessor with private caches is presented. New implementation techniques that use checkpoint identifiers and recovery stacks to reduce performance degradation in processor utilization during normal execution are examined. This cache-based checkpointing technique prevents rollback propagation, provides for rapid recovery, and can be integrated into standard cache coherence protocols. An analytical model is used to estimate the relative performance of the scheme during normal execution. Extensions that take error latency into account are presented.

  5. Using total quality management approach to improve patient safety by preventing medication error incidences*.

    PubMed

    Yousef, Nadin; Yousef, Farah

    2017-09-04

    Whereas one of the predominant causes of medication errors is a drug administration error, a previous study related to our investigations and reviews estimated that the incidences of medication errors constituted 6.7 out of 100 administrated medication doses. Therefore, we aimed by using six sigma approach to propose a way that reduces these errors to become less than 1 out of 100 administrated medication doses by improving healthcare professional education and clearer handwritten prescriptions. The study was held in a General Government Hospital. First, we systematically studied the current medication use process. Second, we used six sigma approach by utilizing the five-step DMAIC process (Define, Measure, Analyze, Implement, Control) to find out the real reasons behind such errors. This was to figure out a useful solution to avoid medication error incidences in daily healthcare professional practice. Data sheet was used in Data tool and Pareto diagrams were used in Analyzing tool. In our investigation, we reached out the real cause behind administrated medication errors. As Pareto diagrams used in our study showed that the fault percentage in administrated phase was 24.8%, while the percentage of errors related to prescribing phase was 42.8%, 1.7 folds. This means that the mistakes in prescribing phase, especially because of the poor handwritten prescriptions whose percentage in this phase was 17.6%, are responsible for the consequent) mistakes in this treatment process later on. Therefore, we proposed in this study an effective low cost strategy based on the behavior of healthcare workers as Guideline Recommendations to be followed by the physicians. This method can be a prior caution to decrease errors in prescribing phase which may lead to decrease the administrated medication error incidences to less than 1%. This improvement way of behavior can be efficient to improve hand written prescriptions and decrease the consequent errors related to administrated

  6. Analyzing communication errors in an air medical transport service.

    PubMed

    Dalto, Joseph D; Weir, Charlene; Thomas, Frank

    2013-01-01

    Poor communication can result in adverse events. Presently, no standards exist for classifying and analyzing air medical communication errors. This study sought to determine the frequency and types of communication errors reported within an air medical quality and safety assurance reporting system. Of 825 quality assurance reports submitted in 2009, 278 were randomly selected and analyzed for communication errors. Each communication error was classified and mapped to Clark's communication level hierarchy (ie, levels 1-4). Descriptive statistics were performed, and comparisons were evaluated using chi-square analysis. Sixty-four communication errors were identified in 58 reports (21% of 278). Of the 64 identified communication errors, only 18 (28%) were classified by the staff to be communication errors. Communication errors occurred most often at level 1 (n = 42/64, 66%) followed by level 4 (21/64, 33%). Level 2 and 3 communication failures were rare (, 1%). Communication errors were found in a fifth of quality and safety assurance reports. The reporting staff identified less than a third of these errors. Nearly all communication errors (99%) occurred at either the lowest level of communication (level 1, 66%) or the highest level (level 4, 33%). An air medical communication ontology is necessary to improve the recognition and analysis of communication errors. Copyright © 2013 Air Medical Journal Associates. Published by Elsevier Inc. All rights reserved.

  7. The intention to disclose medical errors among doctors in a referral hospital in North Malaysia.

    PubMed

    Hs, Arvinder-Singh; Rashid, Abdul

    2017-01-23

    In this study, medical errors are defined as unintentional patient harm caused by a doctor's mistake. This topic, due to limited research, is poorly understood in Malaysia. The objective of this study was to determine the proportion of doctors intending to disclose medical errors, and their attitudes/perception pertaining to medical errors. This cross-sectional study was conducted at a tertiary public hospital from July- December 2015 among 276 randomly selected doctors. Data was collected using a standardized and validated self-administered questionnaire intending to measure disclosure and attitudes/perceptions. The scale had four vignettes in total two medical and two surgical. Each vignette consisted of five questions and each question measured the disclosure. Disclosure was categorised as "No Disclosure", "Partial Disclosure" or "Full Disclosure". Data was keyed in and analysed using STATA v 13.0. Only 10.1% (n = 28) intended to disclose medical errors. Most respondents felt that they possessed an attitude/perception of adequately disclosing errors to patients. There was a statistically significant difference (p < 0.001) when comparing the intention of disclosure with perceived disclosures. Most respondents were in common agreement that disclosing an error would make them less likely to get sued, that minor errors should be reported and that they experienced relief from disclosing errors. Most doctors in this study would not disclose medical errors although they perceived that the errors were serious and felt responsible for it. Poor disclosure could be due the fear of litigations and improper mechanisms/procedures available for disclosure.

  8. Factors contributing to registered nurse medication administration error: a narrative review.

    PubMed

    Parry, Angela M; Barriball, K Louise; While, Alison E

    2015-01-01

    To explore the factors contributing to Registered Nurse medication administration error behaviour. A narrative review. Electronic databases (Cochrane, CINAHL, MEDLINE, BNI, EmBase, and PsycINFO) were searched from 1 January 1999 to 31 December 2012 in the English language. 1127 papers were identified and 26 papers were included in the review. Data were extracted by one reviewer and checked by a second reviewer. A thematic analysis and narrative synthesis of the factors contributing to Registered Nurses' medication administration behaviour. Bandura's (1986) theory of reciprocal determinism was used as an organising framework. This theory proposes that there is a reciprocal interplay between the environment, the person and their behaviour. Medication administration error is an outcome of RN behaviour. The 26 papers reported studies conducted in 4 continents across 11 countries predominantly in North America and Europe, with one multi-national study incorporating 27 countries. Within both the environment and person domain of the reciprocal determinism framework, a number of factors emerged as influencing Registered Nurse medication administration error behaviour. Within the environment domain, two key themes of clinical workload and work setting emerged, and within the person domain the Registered Nurses' characteristics and their lived experience of work emerged as themes. Overall, greater attention has been given to the contribution of the environment domain rather than the person domain as contributing to error, with the literature viewing an error as an event rather than the outcome of behaviour. The interplay between factors that influence behaviour were poorly accounted for within the selected studies. It is proposed that a shift away from error as an event to a focus on the relationships between the person, the environment and Registered Nurse medication administration behaviour is needed to better understand medication administration error. Copyright © 2014

  9. Perceived barriers to medical-error reporting: an exploratory investigation.

    PubMed

    Uribe, Claudia L; Schweikhart, Sharon B; Pathak, Dev S; Dow, Merrell; Marsh, Gail B

    2002-01-01

    Medical-error reporting is an essential component for patient safety enhancement. Unfortunately, medical errors are largely underreported across healthcare institutions. This problem can be attributed to different factors and barriers present at organizational and individual levels that ultimately prevent individuals from generating the report. This study explored the factors that affect medical-error reporting among physicians and nurses at a large academic medical center located in the midwest United States. A nominal group session was conducted to identify the most relevant factors that act as barriers for error reporting. These factors were then used to design a questionnaire that explored the likelihood of the factors to act as barriers and their likelihood to be modified. Using these two parameters, the results were analyzed and combined into a Factor Relevance Matrix. The matrix identifies the factors for which immediate actions should be undertaken to improve medical-error reporting (immediate action factors). It also identifies factors that require long-term strategies (long-term strategy factors) as well as factors that the organization should be aware of but that are of lower priority (awareness factors). The strategies outlined in this study may assist healthcare organizations in improving medical-error reporting, as part of the efforts toward patient-safety enhancement. Although factors affecting medical-error reporting may vary between different organizations, the process used in identifying the factors and the Factor Relevance Matrix developed in this study are easily adaptable to any organizational setting.

  10. Medical errors arising from outsourcing laboratory and radiology services.

    PubMed

    Chasin, Brian S; Elliott, Sean P; Klotz, Stephen A

    2007-09-01

    Document errors and the nuisance factor inherent in the informational exchange that occurs with the outsourcing of laboratory and radiology examinations. Three infectious diseases physicians at a tertiary care hospital recorded problems involving data transmitted by telephone or fax from outsource providers for 4 months. This included in- and outpatients, and those in transition from one status to another. Outsourcing laboratory and radiology examinations of insured outpatients is a common practice. Insurance companies determine which healthcare facility performs these tests based on contractual agreements with outsource providers. This leads to confusion and frustration for the doctor and patient alike, and occasionally, to medical error. The exchange of patient data involved in outsourcing is subject to systemic errors that do not allow of easy solution.

  11. [Shared medical decision making in gynaecology].

    PubMed

    This, P; Panel, P

    2010-02-01

    When two options or more can be chosen in medical care, the final decision implies two steps: facts analysis, and patient evaluation of preferences. Shared Medical Decision-Making is a rational conceptual frame that can be used in such cases. In this paper, we describe the concept, its practical modalities, and the questions raised by its use. In gynaecology, many medical situations involve "sensitive preferences choice": for example, contraceptive choice, menorrhagia treatment, and approach of menopause. Some tools from the "Shared Medical Decision Making" concept are useful to structure medical consultations, to convey information, and to reveal patients preferences. Decision aid are used in clinical research settings, but some of them may also be easily used in usual practice, and help physicians to improve both quality and traceability of the decisional process. Copyright 2009 Elsevier Masson SAS. All rights reserved.

  12. Medication errors in outpatient care in Colombia, 2005-2013.

    PubMed

    Machado-Alba, Jorge E; Moncada, Juan Carlos; Moreno-Gutiérrez, Paula Andrea

    2016-06-03

    Medication errors outside the hospital have been poorly studied despite representing an important threat to patient safety. To describe the characteristics of medication errors in outpatient dispensing pharmacists reported in a pharmaco-surveillance system between 2005 and 2013 in Colombia. We conducted a descriptive study by reviewing and categorizing medication error reports from outpatient pharmacy services to a national medication dispensing company between January, 2005 and September, 2013. Variables considered included: process involved (administration, dispensing, prescription and transcription), wrong drug, time delay for the report, error type, cause and severity. The analysis was conducted in the SPSS® software, version 22.0. A total of 14,873 medication errors were reviewed, of which 67.2% in fact occurred, 15.5% reached the patient and 0.7% caused harm. Administration (OR=93.61, CI 95%: 48.510-180.655, p<0.001), dispensing (OR=21.58, CI 95%: 16.139-28.870, p<0.001), transcription errors (OR=5.64; CI 95%: 3.488-9.142, p<0.001), medicines for sensory organs (OR=2.04, CI 95%: 1.519-2.756, p<0.001), anti-infective drugs for systemic use (OR=1.99, CI 95%: 1.574-2.525, p0.001), confusion generated with the name of the drug (OR=1.28, CI 95%: 1.051-1.560, p=0.014), and trouble interpreting prescriptions (OR=1.32, CI 95%: 1.037-1.702, p=0.025) increased the risk for error reaching the patient. It is necessary to develop surveillance systems for medication errors in ambulatory care, focusing on the prescription, transcription and dispensation processes. Special strategies are needed for the prevention of medication errors related to anti-infective drugs.

  13. Interventions to reduce medication errors in neonatal care: a systematic review

    PubMed Central

    Nguyen, Minh-Nha Rhylie; Mosel, Cassandra

    2017-01-01

    Background: Medication errors represent a significant but often preventable cause of morbidity and mortality in neonates. The objective of this systematic review was to determine the effectiveness of interventions to reduce neonatal medication errors. Methods: A systematic review was undertaken of all comparative and noncomparative studies published in any language, identified from searches of PubMed and EMBASE and reference-list checking. Eligible studies were those investigating the impact of any medication safety interventions aimed at reducing medication errors in neonates in the hospital setting. Results: A total of 102 studies were identified that met the inclusion criteria, including 86 comparative and 16 noncomparative studies. Medication safety interventions were classified into six themes: technology (n = 38; e.g. electronic prescribing), organizational (n = 16; e.g. guidelines, policies, and procedures), personnel (n = 13; e.g. staff education), pharmacy (n = 9; e.g. clinical pharmacy service), hazard and risk analysis (n = 8; e.g. error detection tools), and multifactorial (n = 18; e.g. any combination of previous interventions). Significant variability was evident across all included studies, with differences in intervention strategies, trial methods, types of medication errors evaluated, and how medication errors were identified and evaluated. Most studies demonstrated an appreciable risk of bias. The vast majority of studies (>90%) demonstrated a reduction in medication errors. A similar median reduction of 50–70% in medication errors was evident across studies included within each of the identified themes, but findings varied considerably from a 16% increase in medication errors to a 100% reduction in medication errors. Conclusion: While neonatal medication errors can be reduced through multiple interventions aimed at improving the medication use process, no single intervention appeared clearly superior. Further research is required to evaluate

  14. Elimination of Emergency Department Medication Errors Due To Estimated Weights.

    PubMed

    Greenwalt, Mary; Griffen, David; Wilkerson, Jim

    2017-01-01

    From 7/2014 through 6/2015, 10 emergency department (ED) medication dosing errors were reported through the electronic incident reporting system of an urban academic medical center. Analysis of these medication errors identified inaccurate estimated weight on patients as the root cause. The goal of this project was to reduce weight-based dosing medication errors due to inaccurate estimated weights on patients presenting to the ED. Chart review revealed that 13.8% of estimated weights documented on admitted ED patients varied more than 10% from subsequent actual admission weights recorded. A random sample of 100 charts containing estimated weights revealed 2 previously unreported significant medication dosage errors (.02 significant error rate). Key improvements included removing barriers to weighing ED patients, storytelling to engage staff and change culture, and removal of the estimated weight documentation field from the ED electronic health record (EHR) forms. With these improvements estimated weights on ED patients, and the resulting medication errors, were eliminated.

  15. Obligation towards medical errors disclosure at a tertiary care hospital in Dubai, UAE

    PubMed Central

    Zaghloul, Ashraf Ahmad; Rahman, Syed Azizur; Abou El-Enein, Nagwa Younes

    2016-01-01

    OBJECTIVE: The study aimed to identify healthcare providers’ obligation towards medical errors disclosure as well as to study the association between the severity of the medical error and the intention to disclose the error to the patients and their families. DESIGN: A cross-sectional study design was followed to identify the magnitude of disclosure among healthcare providers in different departments at a randomly selected tertiary care hospital in Dubai. SETTING AND PARTICIPANTS: The total sample size accounted for 106 respondents. Data were collected using a questionnaire composed of two sections namely; demographic variables of the respondents and a section which included variables relevant to medical error disclosure. RESULTS: Statistical analysis yielded significant association between the obligation to disclose medical errors with male healthcare providers (X2 = 5.1), and being a physician (X2 = 19.3). Obligation towards medical errors disclosure was significantly associated with those healthcare providers who had not committed any medical errors during the past year (X2 = 9.8), and any type of medical error regardless the cause, extent of harm (X2 = 8.7). Variables included in the binary logistic regression model were; status (Exp β (Physician) = 0.39, 95% CI 0.16–0.97), gender (Exp β (Male) = 4.81, 95% CI 1.84–12.54), and medical errors during the last year (Exp β (None) = 2.11, 95% CI 0.6–2.3). CONCLUSION: Education and training of physicians about disclosure conversations needs to start as early as medical school. Like the training in other competencies required of physicians, education in communicating about medical errors could help reduce physicians’ apprehension and make them more comfortable with disclosure conversations. PMID:27567766

  16. Separate Medication Preparation Rooms Reduce Interruptions and Medication Errors in the Hospital Setting: A Prospective Observational Study.

    PubMed

    Huckels-Baumgart, Saskia; Baumgart, André; Buschmann, Ute; Schüpfer, Guido; Manser, Tanja

    2016-12-21

    Interruptions and errors during the medication process are common, but published literature shows no evidence supporting whether separate medication rooms are an effective single intervention in reducing interruptions and errors during medication preparation in hospitals. We tested the hypothesis that the rate of interruptions and reported medication errors would decrease as a result of the introduction of separate medication rooms. Our aim was to evaluate the effect of separate medication rooms on interruptions during medication preparation and on self-reported medication error rates. We performed a preintervention and postintervention study using direct structured observation of nurses during medication preparation and daily structured medication error self-reporting of nurses by questionnaires in 2 wards at a major teaching hospital in Switzerland. A volunteer sample of 42 nurses was observed preparing 1498 medications for 366 patients over 17 hours preintervention and postintervention on both wards. During 122 days, nurses completed 694 reporting sheets containing 208 medication errors. After the introduction of the separate medication room, the mean interruption rate decreased significantly from 51.8 to 30 interruptions per hour (P < 0.01), and the interruption-free preparation time increased significantly from 1.4 to 2.5 minutes (P < 0.05). Overall, the mean medication error rate per day was also significantly reduced after implementation of the separate medication room from 1.3 to 0.9 errors per day (P < 0.05). The present study showed the positive effect of a hospital-based intervention; after the introduction of the separate medication room, the interruption and medication error rates decreased significantly.

  17. Clinical Errors and Medical Negligence

    PubMed Central

    Oyebode, Femi

    2013-01-01

    This paper discusses the definition, nature and origins of clinical errors including their prevention. The relationship between clinical errors and medical negligence is examined as are the characteristics of litigants and events that are the source of litigation. The pattern of malpractice claims in different specialties and settings is examined. Among hospitalized patients worldwide, 3–16s% suffer injury as a result of medical intervention, the most common being the adverse effects of drugs. The frequency of adverse drug effects appears superficially to be higher in intensive care units and emergency departments but once rates have been corrected for volume of patients, comorbidity of conditions and number of drugs prescribed, the difference is not significant. It is concluded that probably no more than 1 in 7 adverse events in medicine result in a malpractice claim and the factors that predict that a patient will resort to litigation include a prior poor relationship with the clinician and the feeling that the patient is not being kept informed. Methods for preventing clinical errors are still in their infancy. The most promising include new technologies such as electronic prescribing systems, diagnostic and clinical decision-making aids and error-resistant systems. PMID:23343656

  18. Clinical errors and medical negligence.

    PubMed

    Oyebode, Femi

    2013-01-01

    This paper discusses the definition, nature and origins of clinical errors including their prevention. The relationship between clinical errors and medical negligence is examined as are the characteristics of litigants and events that are the source of litigation. The pattern of malpractice claims in different specialties and settings is examined. Among hospitalized patients worldwide, 3-16% suffer injury as a result of medical intervention, the most common being the adverse effects of drugs. The frequency of adverse drug effects appears superficially to be higher in intensive care units and emergency departments but once rates have been corrected for volume of patients, comorbidity of conditions and number of drugs prescribed, the difference is not significant. It is concluded that probably no more than 1 in 7 adverse events in medicine result in a malpractice claim and the factors that predict that a patient will resort to litigation include a prior poor relationship with the clinician and the feeling that the patient is not being kept informed. Methods for preventing clinical errors are still in their infancy. The most promising include new technologies such as electronic prescribing systems, diagnostic and clinical decision-making aids and error-resistant systems. Copyright © 2013 S. Karger AG, Basel.

  19. Attitudes of Mashhad Public Hospital's Nurses and Midwives toward the Causes and Rates of Medical Errors Reporting.

    PubMed

    Mobarakabadi, Sedigheh Sedigh; Ebrahimipour, Hosein; Najar, Ali Vafaie; Janghorban, Roksana; Azarkish, Fatemeh

    2017-03-01

    Patient's safety is one of the main objective in healthcare services; however medical errors are a prevalent potential occurrence for the patients in treatment systems. Medical errors lead to an increase in mortality rate of the patients and challenges such as prolonging of the inpatient period in the hospitals and increased cost. Controlling the medical errors is very important, because these errors besides being costly, threaten the patient's safety. To evaluate the attitudes of nurses and midwives toward the causes and rates of medical errors reporting. It was a cross-sectional observational study. The study population was 140 midwives and nurses employed in Mashhad Public Hospitals. The data collection was done through Goldstone 2001 revised questionnaire. SPSS 11.5 software was used for data analysis. To analyze data, descriptive and inferential analytic statistics were used. Standard deviation and relative frequency distribution, descriptive statistics were used for calculation of the mean and the results were adjusted as tables and charts. Chi-square test was used for the inferential analysis of the data. Most of midwives and nurses (39.4%) were in age range of 25 to 34 years and the lowest percentage (2.2%) were in age range of 55-59 years. The highest average of medical errors was related to employees with three-four years of work experience, while the lowest average was related to those with one-two years of work experience. The highest average of medical errors was during the evening shift, while the lowest were during the night shift. Three main causes of medical errors were considered: illegibile physician prescription orders, similarity of names in different drugs and nurse fatigueness. The most important causes for medical errors from the viewpoints of nurses and midwives are illegible physician's order, drug name similarity with other drugs, nurse's fatigueness and damaged label or packaging of the drug, respectively. Head nurse feedback, peer

  20. What is the epidemiology of medication errors, error-related adverse events and risk factors for errors in adults managed in community care contexts? A systematic review of the international literature.

    PubMed

    Assiri, Ghadah Asaad; Shebl, Nada Atef; Mahmoud, Mansour Adam; Aloudah, Nouf; Grant, Elizabeth; Aljadhey, Hisham; Sheikh, Aziz

    2018-05-05

    To investigate the epidemiology of medication errors and error-related adverse events in adults in primary care, ambulatory care and patients' homes. Systematic review. Six international databases were searched for publications between 1 January 2006 and 31 December 2015. Two researchers independently extracted data from eligible studies and assessed the quality of these using established instruments. Synthesis of data was informed by an appreciation of the medicines' management process and the conceptual framework from the International Classification for Patient Safety. 60 studies met the inclusion criteria, of which 53 studies focused on medication errors, 3 on error-related adverse events and 4 on risk factors only. The prevalence of prescribing errors was reported in 46 studies: prevalence estimates ranged widely from 2% to 94%. Inappropriate prescribing was the most common type of error reported. Only one study reported the prevalence of monitoring errors, finding that incomplete therapeutic/safety laboratory-test monitoring occurred in 73% of patients. The incidence of preventable adverse drug events (ADEs) was estimated as 15/1000 person-years, the prevalence of drug-drug interaction-related adverse drug reactions as 7% and the prevalence of preventable ADE as 0.4%. A number of patient, healthcare professional and medication-related risk factors were identified, including the number of medications used by the patient, increased patient age, the number of comorbidities, use of anticoagulants, cases where more than one physician was involved in patients' care and care being provided by family physicians/general practitioners. A very wide variation in the medication error and error-related adverse events rates is reported in the studies, this reflecting heterogeneity in the populations studied, study designs employed and outcomes evaluated. This review has identified important limitations and discrepancies in the methodologies used and gaps in the literature

  1. ChRIS--A web-based neuroimaging and informatics system for collecting, organizing, processing, visualizing and sharing of medical data.

    PubMed

    Pienaar, Rudolph; Rannou, Nicolas; Bernal, Jorge; Hahn, Daniel; Grant, P Ellen

    2015-01-01

    The utility of web browsers for general purpose computing, long anticipated, is only now coming into fruition. In this paper we present a web-based medical image data and information management software platform called ChRIS ([Boston] Children's Research Integration System). ChRIS' deep functionality allows for easy retrieval of medical image data from resources typically found in hospitals, organizes and presents information in a modern feed-like interface, provides access to a growing library of plugins that process these data - typically on a connected High Performance Compute Cluster, allows for easy data sharing between users and instances of ChRIS and provides powerful 3D visualization and real time collaboration.

  2. The Impact of Bar Code Medication Administration Technology on Reported Medication Errors

    ERIC Educational Resources Information Center

    Holecek, Andrea

    2011-01-01

    The use of bar-code medication administration technology is on the rise in acute care facilities in the United States. The technology is purported to decrease medication errors that occur at the point of administration. How significantly this technology affects actual rate and severity of error is unknown. This descriptive, longitudinal research…

  3. Changes in medical errors after implementation of a handoff program.

    PubMed

    Starmer, Amy J; Spector, Nancy D; Srivastava, Rajendu; West, Daniel C; Rosenbluth, Glenn; Allen, April D; Noble, Elizabeth L; Tse, Lisa L; Dalal, Anuj K; Keohane, Carol A; Lipsitz, Stuart R; Rothschild, Jeffrey M; Wien, Matthew F; Yoon, Catherine S; Zigmont, Katherine R; Wilson, Karen M; O'Toole, Jennifer K; Solan, Lauren G; Aylor, Megan; Bismilla, Zia; Coffey, Maitreya; Mahant, Sanjay; Blankenburg, Rebecca L; Destino, Lauren A; Everhart, Jennifer L; Patel, Shilpa J; Bale, James F; Spackman, Jaime B; Stevenson, Adam T; Calaman, Sharon; Cole, F Sessions; Balmer, Dorene F; Hepps, Jennifer H; Lopreiato, Joseph O; Yu, Clifton E; Sectish, Theodore C; Landrigan, Christopher P

    2014-11-06

    Miscommunications are a leading cause of serious medical errors. Data from multicenter studies assessing programs designed to improve handoff of information about patient care are lacking. We conducted a prospective intervention study of a resident handoff-improvement program in nine hospitals, measuring rates of medical errors, preventable adverse events, and miscommunications, as well as resident workflow. The intervention included a mnemonic to standardize oral and written handoffs, handoff and communication training, a faculty development and observation program, and a sustainability campaign. Error rates were measured through active surveillance. Handoffs were assessed by means of evaluation of printed handoff documents and audio recordings. Workflow was assessed through time-motion observations. The primary outcome had two components: medical errors and preventable adverse events. In 10,740 patient admissions, the medical-error rate decreased by 23% from the preintervention period to the postintervention period (24.5 vs. 18.8 per 100 admissions, P<0.001), and the rate of preventable adverse events decreased by 30% (4.7 vs. 3.3 events per 100 admissions, P<0.001). The rate of nonpreventable adverse events did not change significantly (3.0 and 2.8 events per 100 admissions, P=0.79). Site-level analyses showed significant error reductions at six of nine sites. Across sites, significant increases were observed in the inclusion of all prespecified key elements in written documents and oral communication during handoff (nine written and five oral elements; P<0.001 for all 14 comparisons). There were no significant changes from the preintervention period to the postintervention period in the duration of oral handoffs (2.4 and 2.5 minutes per patient, respectively; P=0.55) or in resident workflow, including patient-family contact and computer time. Implementation of the handoff program was associated with reductions in medical errors and in preventable adverse events

  4. Errors in otology.

    PubMed

    Kartush, J M

    1996-11-01

    Practicing medicine successfully requires that errors in diagnosis and treatment be minimized. Malpractice laws encourage litigators to ascribe all medical errors to incompetence and negligence. There are, however, many other causes of unintended outcomes. This article describes common causes of errors and suggests ways to minimize mistakes in otologic practice. Widespread dissemination of knowledge about common errors and their precursors can reduce the incidence of their occurrence. Consequently, laws should be passed to allow for a system of non-punitive, confidential reporting of errors and "near misses" that can be shared by physicians nationwide.

  5. Detecting medication errors in the New Zealand pharmacovigilance database: a retrospective analysis.

    PubMed

    Kunac, Desireé L; Tatley, Michael V

    2011-01-01

    Despite the traditional focus being adverse drug reactions (ADRs), pharmacovigilance centres have recently been identified as a potentially rich and important source of medication error data. To identify medication errors in the New Zealand Pharmacovigilance database (Centre for Adverse Reactions Monitoring [CARM]), and to describe the frequency and characteristics of these events. A retrospective analysis of the CARM pharmacovigilance database operated by the New Zealand Pharmacovigilance Centre was undertaken for the year 1 January-31 December 2007. All reports, excluding those relating to vaccines, clinical trials and pharmaceutical company reports, underwent a preventability assessment using predetermined criteria. Those events deemed preventable were subsequently classified to identify the degree of patient harm, type of error, stage of medication use process where the error occurred and origin of the error. A total of 1412 reports met the inclusion criteria and were reviewed, of which 4.3% (61/1412) were deemed preventable. Not all errors resulted in patient harm: 29.5% (18/61) were 'no harm' errors but 65.5% (40/61) of errors were deemed to have been associated with some degree of patient harm (preventable adverse drug events [ADEs]). For 5.0% (3/61) of events, the degree of patient harm was unable to be determined as the patient outcome was unknown. The majority of preventable ADEs (62.5% [25/40]) occurred in adults aged 65 years and older. The medication classes most involved in preventable ADEs were antibacterials for systemic use and anti-inflammatory agents, with gastrointestinal and respiratory system disorders the most common adverse events reported. For both preventable ADEs and 'no harm' events, most errors were incorrect dose and drug therapy monitoring problems consisting of failures in detection of significant drug interactions, past allergies or lack of necessary clinical monitoring. Preventable events were mostly related to the prescribing and

  6. Liquid Medication Dosing Errors in Children: Role of Provider Counseling Strategies

    PubMed Central

    Yin, H. Shonna; Dreyer, Benard P.; Moreira, Hannah A.; van Schaick, Linda; Rodriguez, Luis; Boettger, Susanne; Mendelsohn, Alan L.

    2014-01-01

    Objective To examine the degree to which recommended provider counseling strategies, including advanced communication techniques and dosing instrument provision, are associated with reductions in parent liquid medication dosing errors. Methods Cross-sectional analysis of baseline data on provider communication and dosing instrument provision from a study of a health literacy intervention to reduce medication errors. Parents whose children (<9 years) were seen in two urban public hospital pediatric emergency departments (EDs) and were prescribed daily dose liquid medications self-reported whether they received counseling about their child’s medication, including advanced strategies (teachback, drawings/pictures, demonstration, showback) and receipt of a dosing instrument. Primary dependent variable: observed dosing error (>20% deviation from prescribed). Multivariate logistic regression analyses performed, controlling for: parent age, language, country, ethnicity, socioeconomic status, education, health literacy (Short Test of Functional Health Literacy in Adults); child age, chronic disease status; site. Results Of 287 parents, 41.1% made dosing errors. Advanced counseling and instrument provision in the ED were reported by 33.1% and 19.2%, respectively; 15.0% reported both. Advanced counseling and instrument provision in the ED were associated with decreased errors (30.5 vs. 46.4%, p=0.01; 21.8 vs. 45.7%, p=0.001). In adjusted analyses, ED advanced counseling in combination with instrument provision was associated with a decreased odds of error compared to receiving neither (AOR 0.3; 95% CI 0.1–0.7); advanced counseling alone and instrument alone were not significantly associated with odds of error. Conclusion Provider use of advanced counseling strategies and dosing instrument provision may be especially effective in reducing errors when used together. PMID:24767779

  7. Predesigned labels to prevent medication errors in hospitalized patients: a quasi-experimental design study.

    PubMed

    Morales-González, María Fernanda; Galiano Gálvez, María Alejandra

    2017-09-08

    Our institution implemented the use of pre-designed labeling of intravenous drugs and fluids, administration routes and infusion pumps of to prevent medication errors. To evaluate the effectiveness of predesigned labeling in reducing medication errors in the preparation and administration stages of prescribed medication in patients hospitalized with invasive lines, and to characterize medication errors. This is a pre/post intervention study. Pre-intervention group: invasively administered dose from July 1st to December 31st, 2014, using traditional labeling (adhesive paper handwritten note). Post-intervention group: dose administered from January 1st to June 30th, 2015, using predesigned labeling (labeling with preset data-adhesive labels, color- grouped by drugs, labels with colors for invasive lines). Outcome: medication errors in hospitalized patients, as measured with notification form and record electronics. Tabulation/analysis Stata-10, with descriptive statistics, hypotheses testing, estimating risk with 95% confidence. In the pre-intervention group, 5,819 doses of drugs were administered invasively in 634 patients. Error rate of 1.4 x 1,000 administrations. The post-intervention group of 1088 doses comprised 8,585 patients with similar routes of administration. The error rate was 0.3 x 1,000 (p = 0.034). Patients receiving medication through an invasive route who did not use predesigned labeling had 4.6 times more risk of medication error than those who had used predesigned labels (95% CI: 1.25 to 25.4). The adult critically ill patient unit had the highest proportion of medication errors. The most frequent error was wrong dose administration. 41.2% produced harm to the patient. The use of predesigned labeling in invasive lines reduces errors in medication in the last two phases: preparation and administration.

  8. Access Scheme for Controlling Mobile Agents and its Application to Share Medical Information.

    PubMed

    Liao, Yu-Ting; Chen, Tzer-Shyong; Chen, Tzer-Long; Chung, Yu-Fang; Chen, Yu- Xin; Hwang, Jen-Hung; Wang, Huihui; Wei, Wei

    2016-05-01

    This study is showing the advantage of mobile agents to conquer heterogeneous system environments and contribute to a virtual integrated sharing system. Mobile agents will collect medical information from each medical institution as a method to achieve the medical purpose of data sharing. Besides, this research also provides an access control and key management mechanism by adopting Public key cryptography and Lagrange interpolation. The safety analysis of the system is based on a network attacker's perspective. The achievement of this study tries to improve the medical quality, prevent wasting medical resources and make medical resources access to appropriate configuration.

  9. [Monitoring medication errors in personalised dispensing using the Sentinel Surveillance System method].

    PubMed

    Pérez-Cebrián, M; Font-Noguera, I; Doménech-Moral, L; Bosó-Ribelles, V; Romero-Boyero, P; Poveda-Andrés, J L

    2011-01-01

    To assess the efficacy of a new quality control strategy based on daily randomised sampling and monitoring a Sentinel Surveillance System (SSS) medication cart, in order to identify medication errors and their origin at different levels of the process. Prospective quality control study with one year follow-up. A SSS medication cart was randomly selected once a week and double-checked before dispensing medication. Medication errors were recorded before it was taken to the relevant hospital ward. Information concerning complaints after receiving medication and 24-hour monitoring were also noted. Type and origin error data were assessed by a Unit Dose Quality Control Group, which proposed relevant improvement measures. Thirty-four SSS carts were assessed, including 5130 medication lines and 9952 dispensed doses, corresponding to 753 patients. Ninety erroneous lines (1.8%) and 142 mistaken doses (1.4%) were identified at the Pharmacy Department. The most frequent error was dose duplication (38%) and its main cause inappropriate management and forgetfulness (69%). Fifty medication complaints (6.6% of patients) were mainly due to new treatment at admission (52%), and 41 (0.8% of all medication lines), did not completely match the prescription (0.6% lines) as recorded by the Pharmacy Department. Thirty-seven (4.9% of patients) medication complaints due to changes at admission and 32 matching errors (0.6% medication lines) were recorded. The main cause also was inappropriate management and forgetfulness (24%). The simultaneous recording of incidences due to complaints and new medication coincided in 33.3%. In addition, 433 (4.3%) of dispensed doses were returned to the Pharmacy Department. After the Unit Dose Quality Control Group conducted their feedback analysis, 64 improvement measures for Pharmacy Department nurses, 37 for pharmacists, and 24 for the hospital ward were introduced. The SSS programme has proven to be useful as a quality control strategy to identify Unit

  10. Overview of medical errors and adverse events

    PubMed Central

    2012-01-01

    Safety is a global concept that encompasses efficiency, security of care, reactivity of caregivers, and satisfaction of patients and relatives. Patient safety has emerged as a major target for healthcare improvement. Quality assurance is a complex task, and patients in the intensive care unit (ICU) are more likely than other hospitalized patients to experience medical errors, due to the complexity of their conditions, need for urgent interventions, and considerable workload fluctuation. Medication errors are the most common medical errors and can induce adverse events. Two approaches are available for evaluating and improving quality-of-care: the room-for-improvement model, in which problems are identified, plans are made to resolve them, and the results of the plans are measured; and the monitoring model, in which quality indicators are defined as relevant to potential problems and then monitored periodically. Indicators that reflect structures, processes, or outcomes have been developed by medical societies. Surveillance of these indicators is organized at the hospital or national level. Using a combination of methods improves the results. Errors are caused by combinations of human factors and system factors, and information must be obtained on how people make errors in the ICU environment. Preventive strategies are more likely to be effective if they rely on a system-based approach, in which organizational flaws are remedied, rather than a human-based approach of encouraging people not to make errors. The development of a safety culture in the ICU is crucial to effective prevention and should occur before the evaluation of safety programs, which are more likely to be effective when they involve bundles of measures. PMID:22339769

  11. [Monitoring medication errors in an internal medicine service].

    PubMed

    Smith, Ann-Loren M; Ruiz, Inés A; Jirón, Marcela A

    2014-01-01

    Patients admitted to internal medicine services receive multiple drugs and thus are at risk of medication errors. To determine the frequency of medication errors (ME) among patients admitted to an internal medicine service of a high complexity hospital. A prospective observational study conducted in 225 patients admitted to an internal medicine service. Each stage of drug utilization system (prescription, transcription, dispensing, preparation and administration) was directly observed by trained pharmacists not related to hospital staff during three months. ME were described and categorized according to the National Coordinating Council for Medication Error Reporting and Prevention. In each stage of medication use, the frequency of ME and their characteristics were determined. A total of 454 drugs were prescribed to the studied patients. In 138 (30,4%) indications, at least one ME occurred, involving 67 (29,8%) patients. Twenty four percent of detected ME occurred during administration, mainly due to wrong time schedules. Anticoagulants were the therapeutic group with the highest occurrence of ME. At least one ME occurred in approximately one third of patients studied, especially during the administration stage. These errors could affect the medication safety and avoid achieving therapeutic goals. Strategies to improve the quality and safe use of medications can be implemented using this information.

  12. Medical error identification, disclosure, and reporting: do emergency medicine provider groups differ?

    PubMed

    Hobgood, Cherri; Weiner, Bryan; Tamayo-Sarver, Joshua H

    2006-04-01

    To determine if the three types of emergency medicine providers--physicians, nurses, and out-of-hospital providers (emergency medical technicians [EMTs])--differ in their identification, disclosure, and reporting of medical error. A convenience sample of providers in an academic emergency department evaluated ten case vignettes that represented two error types (medication and cognitive) and three severity levels. For each vignette, providers were asked the following: 1) Is this an error? 2) Would you tell the patient? 3) Would you report this to a hospital committee? To assess differences in identification, disclosure, and reporting by provider type, error type, and error severity, the authors constructed three-way tables with the nonparametric Somers' D clustered on participant. To assess the contribution of disclosure instruction and environmental variables, fixed-effects regression stratified by provider type was used. Of the 116 providers who were eligible, 103 (40 physicians, 26 nurses, and 35 EMTs) had complete data. Physicians were more likely to classify an event as an error (78%) than nurses (71%; p = 0.04) or EMTs (68%; p < 0.01). Nurses were less likely to disclose an error to the patient (59%) than physicians (71%; p = 0.04). Physicians were the least likely to report the error (54%) compared with nurses (68%; p = 0.02) or EMTs (78%; p < 0.01). For all provider and error types, identification, disclosure, and reporting increased with increasing severity. Improving patient safety hinges on the ability of health care providers to accurately identify, disclose, and report medical errors. Interventions must account for differences in error identification, disclosure, and reporting by provider type.

  13. Medical errors in primary care clinics – a cross sectional study

    PubMed Central

    2012-01-01

    Background Patient safety is vital in patient care. There is a lack of studies on medical errors in primary care settings. The aim of the study is to determine the extent of diagnostic inaccuracies and management errors in public funded primary care clinics. Methods This was a cross-sectional study conducted in twelve public funded primary care clinics in Malaysia. A total of 1753 medical records were randomly selected in 12 primary care clinics in 2007 and were reviewed by trained family physicians for diagnostic, management and documentation errors, potential errors causing serious harm and likelihood of preventability of such errors. Results The majority of patient encounters (81%) were with medical assistants. Diagnostic errors were present in 3.6% (95% CI: 2.2, 5.0) of medical records and management errors in 53.2% (95% CI: 46.3, 60.2). For management errors, medication errors were present in 41.1% (95% CI: 35.8, 46.4) of records, investigation errors in 21.7% (95% CI: 16.5, 26.8) and decision making errors in 14.5% (95% CI: 10.8, 18.2). A total of 39.9% (95% CI: 33.1, 46.7) of these errors had the potential to cause serious harm. Problems of documentation including illegible handwriting were found in 98.0% (95% CI: 97.0, 99.1) of records. Nearly all errors (93.5%) detected were considered preventable. Conclusions The occurrence of medical errors was high in primary care clinics particularly with documentation and medication errors. Nearly all were preventable. Remedial intervention addressing completeness of documentation and prescriptions are likely to yield reduction of errors. PMID:23267547

  14. Coping with medical error: a systematic review of papers to assess the effects of involvement in medical errors on healthcare professionals' psychological well-being.

    PubMed

    Sirriyeh, Reema; Lawton, Rebecca; Gardner, Peter; Armitage, Gerry

    2010-12-01

    Previous research has established health professionals as secondary victims of medical error, with the identification of a range of emotional and psychological repercussions that may occur as a result of involvement in error.2 3 Due to the vast range of emotional and psychological outcomes, research to date has been inconsistent in the variables measured and tools used. Therefore, differing conclusions have been drawn as to the nature of the impact of error on professionals and the subsequent repercussions for their team, patients and healthcare institution. A systematic review was conducted. Data sources were identified using database searches, with additional reference and hand searching. Eligibility criteria were applied to all studies identified, resulting in a total of 24 included studies. Quality assessment was conducted with the included studies using a tool that was developed as part of this research, but due to the limited number and diverse nature of studies, no exclusions were made on this basis. Review findings suggest that there is consistent evidence for the widespread impact of medical error on health professionals. Psychological repercussions may include negative states such as shame, self-doubt, anxiety and guilt. Despite much attention devoted to the assessment of negative outcomes, the potential for positive outcomes resulting from error also became apparent, with increased assertiveness, confidence and improved colleague relationships reported. It is evident that involvement in a medical error can elicit a significant psychological response from the health professional involved. However, a lack of literature around coping and support, coupled with inconsistencies and weaknesses in methodology, may need be addressed in future work.

  15. Medication errors in residential aged care facilities: a distributed cognition analysis of the information exchange process.

    PubMed

    Tariq, Amina; Georgiou, Andrew; Westbrook, Johanna

    2013-05-01

    Medication safety is a pressing concern for residential aged care facilities (RACFs). Retrospective studies in RACF settings identify inadequate communication between RACFs, doctors, hospitals and community pharmacies as the major cause of medication errors. Existing literature offers limited insight about the gaps in the existing information exchange process that may lead to medication errors. The aim of this research was to explicate the cognitive distribution that underlies RACF medication ordering and delivery to identify gaps in medication-related information exchange which lead to medication errors in RACFs. The study was undertaken in three RACFs in Sydney, Australia. Data were generated through ethnographic field work over a period of five months (May-September 2011). Triangulated analysis of data primarily focused on examining the transformation and exchange of information between different media across the process. The findings of this study highlight the extensive scope and intense nature of information exchange in RACF medication ordering and delivery. Rather than attributing error to individual care providers, the explication of distributed cognition processes enabled the identification of gaps in three information exchange dimensions which potentially contribute to the occurrence of medication errors namely: (1) design of medication charts which complicates order processing and record keeping (2) lack of coordination mechanisms between participants which results in misalignment of local practices (3) reliance on restricted communication bandwidth channels mainly telephone and fax which complicates the information processing requirements. The study demonstrates how the identification of these gaps enhances understanding of medication errors in RACFs. Application of the theoretical lens of distributed cognition can assist in enhancing our understanding of medication errors in RACFs through identification of gaps in information exchange. Understanding

  16. Impact of an antiretroviral stewardship strategy on medication error rates.

    PubMed

    Shea, Katherine M; Hobbs, Athena Lv; Shumake, Jason D; Templet, Derek J; Padilla-Tolentino, Eimeira; Mondy, Kristin E

    2018-05-02

    The impact of an antiretroviral stewardship strategy on medication error rates was evaluated. This single-center, retrospective, comparative cohort study included patients at least 18 years of age infected with human immunodeficiency virus (HIV) who were receiving antiretrovirals and admitted to the hospital. A multicomponent approach was developed and implemented and included modifications to the order-entry and verification system, pharmacist education, and a pharmacist-led antiretroviral therapy checklist. Pharmacists performed prospective audits using the checklist at the time of order verification. To assess the impact of the intervention, a retrospective review was performed before and after implementation to assess antiretroviral errors. Totals of 208 and 24 errors were identified before and after the intervention, respectively, resulting in a significant reduction in the overall error rate ( p < 0.001). In the postintervention group, significantly lower medication error rates were found in both patient admissions containing at least 1 medication error ( p < 0.001) and those with 2 or more errors ( p < 0.001). Significant reductions were also identified in each error type, including incorrect/incomplete medication regimen, incorrect dosing regimen, incorrect renal dose adjustment, incorrect administration, and the presence of a major drug-drug interaction. A regression tree selected ritonavir as the only specific medication that best predicted more errors preintervention ( p < 0.001); however, no antiretrovirals reliably predicted errors postintervention. An antiretroviral stewardship strategy for hospitalized HIV patients including prospective audit by staff pharmacists through use of an antiretroviral medication therapy checklist at the time of order verification decreased error rates. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

  17. Development of an Ontology to Model Medical Errors, Information Needs, and the Clinical Communication Space

    PubMed Central

    Stetson, Peter D.; McKnight, Lawrence K.; Bakken, Suzanne; Curran, Christine; Kubose, Tate T.; Cimino, James J.

    2002-01-01

    Medical errors are common, costly and often preventable. Work in understanding the proximal causes of medical errors demonstrates that systems failures predispose to adverse clinical events. Most of these systems failures are due to lack of appropriate information at the appropriate time during the course of clinical care. Problems with clinical communication are common proximal causes of medical errors. We have begun a project designed to measure the impact of wireless computing on medical errors. We report here on our efforts to develop an ontology representing the intersection of medical errors, information needs and the communication space. We will use this ontology to support the collection, storage and interpretation of project data. The ontology’s formal representation of the concepts in this novel domain will help guide the rational deployment of our informatics interventions. A real-life scenario is evaluated using the ontology in order to demonstrate its utility.

  18. Factors associated with disclosure of medical errors by housestaff.

    PubMed

    Kronman, Andrea C; Paasche-Orlow, Michael; Orlander, Jay D

    2012-04-01

    Attributes of the organisational culture of residency training programmes may impact patient safety. Training environments are complex, composed of clinical teams, residency programmes, and clinical units. We examined the relationship between residents' perceptions of their training environment and disclosure of or apology for their worst error. Anonymous, self-administered surveys were distributed to Medicine and Surgery residents at Boston Medical Center in 2005. Surveys asked residents to describe their worst medical error, and to answer selected questions from validated surveys measuring elements of working environments that promote learning from error. Subscales measured the microenvironments of the clinical team, residency programme, and clinical unit. Univariate and bivariate statistical analyses examined relationships between trainee characteristics, their perceived learning environment(s), and their responses to the error. Out of 109 surveys distributed to residents, 99 surveys were returned (91% overall response rate), two incomplete surveys were excluded, leaving 97: 61% internal medicine, 39% surgery, 59% male residents. While 31% reported apologising for the situation associated with the error, only 17% reported disclosing the error to patients and/or family. More male residents disclosed the error than female residents (p=0.04). Surgery residents scored higher on the subscales of safety culture pertaining to the residency programme (p=0.02) and managerial commitment to safety (p=0.05). Our Medical Culture Summary score was positively associated with disclosure (p=0.04) and apology (p=0.05). Factors in the learning environments of residents are associated with responses to medical errors. Organisational safety culture can be measured, and used to evaluate environmental attributes of clinical training that are associated with disclosure of, and apology for, medical error.

  19. Medication prescribing errors in the medical intensive care unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.

    PubMed

    Sada, Oumer; Melkie, Addisu; Shibeshi, Workineh

    2015-09-16

    Medication errors (MEs) are important problems in all hospitalized populations, especially in intensive care unit (ICU). Little is known about the prevalence of medication prescribing errors in the ICU of hospitals in Ethiopia. The aim of this study was to assess medication prescribing errors in the ICU of Tikur Anbessa Specialized Hospital using retrospective cross-sectional analysis of patient cards and medication charts. About 220 patient charts were reviewed with a total of 1311 patient-days, and 882 prescription episodes. 359 MEs were detected; with prevalence of 40 per 100 orders. Common prescribing errors were omission errors 154 (42.89%), 101 (28.13%) wrong combination, 48 (13.37%) wrong abbreviation, 30 (8.36%) wrong dose, wrong frequency 18 (5.01%) and wrong indications 8 (2.23%). The present study shows that medication errors are common in medical ICU of Tikur Anbessa Specialized Hospital. These results suggest future targets of prevention strategies to reduce the rate of medication error.

  20. Secure public cloud platform for medical images sharing.

    PubMed

    Pan, Wei; Coatrieux, Gouenou; Bouslimi, Dalel; Prigent, Nicolas

    2015-01-01

    Cloud computing promises medical imaging services offering large storage and computing capabilities for limited costs. In this data outsourcing framework, one of the greatest issues to deal with is data security. To do so, we propose to secure a public cloud platform devoted to medical image sharing by defining and deploying a security policy so as to control various security mechanisms. This policy stands on a risk assessment we conducted so as to identify security objectives with a special interest for digital content protection. These objectives are addressed by means of different security mechanisms like access and usage control policy, partial-encryption and watermarking.

  1. Inpatient medical errors involving glucose-lowering medications and their impact on patients: review of 2,598 incidents from a voluntary electronic error-reporting database.

    PubMed

    Amori, Renee E; Pittas, Anastassios G; Siegel, Richard D; Kumar, Sanjaya; Chen, Jack S; Karnam, Suneel; Golden, Sherita H; Salem, Deeb N

    2008-01-01

    To describe characteristics of inpatient medical errors involving hypoglycemic medications and their impact on patient care. We conducted a cross-sectional analysis of medical errors and associated adverse events voluntarily reported by hospital employees and staff in 21 nonprofit, nonfederal health-care organizations in the United States that implemented a Web-based electronic error-reporting system (e-ERS) between August 1, 2000, and December 31, 2005. Persons reporting the errors determined the level of impact on patient care. The median duration of e-ERS use was 3.1 years, and 2,598 inpatient error reports involved insulin or orally administered hypoglycemic agents. Nursing staff provided 59% of the reports; physicians reported <2%. Approximately two-thirds of the errors (1,693 of 2,598) reached the patient. Errors that caused temporary harm necessitating major treatment or that caused permanent harm accounted for 1.5% of reports (40 of 2,598). Insulin was involved in 82% of reports, and orally administered hypoglycemic agents were involved in 18% of all reports (473 of 2,598). Sulfonylureas were implicated in 51.8% of reports involving oral hypoglycemic agents (9.4% of all reports). An e-ERS provides an accessible venue for reporting and tracking inpatient medical errors involving glucose-lowering medications. Results are limited by potential underreporting of events, particularly by physicians, and variations in the reporter perception of patient harm.

  2. Liquid medication dosing errors in children: role of provider counseling strategies.

    PubMed

    Yin, H Shonna; Dreyer, Benard P; Moreira, Hannah A; van Schaick, Linda; Rodriguez, Luis; Boettger, Susanne; Mendelsohn, Alan L

    2014-01-01

    To examine the degree to which recommended provider counseling strategies, including advanced communication techniques and dosing instrument provision, are associated with reductions in parent liquid medication dosing errors. Cross-sectional analysis of baseline data on provider communication and dosing instrument provision from a study of a health literacy intervention to reduce medication errors. Parents whose children (<9 years) were seen in 2 urban public hospital pediatric emergency departments (EDs) and were prescribed daily dose liquid medications self-reported whether they received counseling about their child's medication, including advanced strategies (teachback, drawings/pictures, demonstration, showback) and receipt of a dosing instrument. The primary dependent variable was observed dosing error (>20% deviation from prescribed). Multivariate logistic regression analyses were performed, controlling for parent age, language, country, ethnicity, socioeconomic status, education, health literacy (Short Test of Functional Health Literacy in Adults); child age, chronic disease status; and site. Of 287 parents, 41.1% made dosing errors. Advanced counseling and instrument provision in the ED were reported by 33.1% and 19.2%, respectively; 15.0% reported both. Advanced counseling and instrument provision in the ED were associated with decreased errors (30.5 vs. 46.4%, P = .01; 21.8 vs. 45.7%, P = .001). In adjusted analyses, ED advanced counseling in combination with instrument provision was associated with a decreased odds of error compared to receiving neither (adjusted odds ratio 0.3; 95% confidence interval 0.1-0.7); advanced counseling alone and instrument alone were not significantly associated with odds of error. Provider use of advanced counseling strategies and dosing instrument provision may be especially effective in reducing errors when used together. Copyright © 2014 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  3. Shared and unshared exposure measurement error in occupational cohort studies and their effects on statistical inference in proportional hazards models.

    PubMed

    Hoffmann, Sabine; Laurier, Dominique; Rage, Estelle; Guihenneuc, Chantal; Ancelet, Sophie

    2018-01-01

    Exposure measurement error represents one of the most important sources of uncertainty in epidemiology. When exposure uncertainty is not or only poorly accounted for, it can lead to biased risk estimates and a distortion of the shape of the exposure-response relationship. In occupational cohort studies, the time-dependent nature of exposure and changes in the method of exposure assessment may create complex error structures. When a method of group-level exposure assessment is used, individual worker practices and the imprecision of the instrument used to measure the average exposure for a group of workers may give rise to errors that are shared between workers, within workers or both. In contrast to unshared measurement error, the effects of shared errors remain largely unknown. Moreover, exposure uncertainty and magnitude of exposure are typically highest for the earliest years of exposure. We conduct a simulation study based on exposure data of the French cohort of uranium miners to compare the effects of shared and unshared exposure uncertainty on risk estimation and on the shape of the exposure-response curve in proportional hazards models. Our results indicate that uncertainty components shared within workers cause more bias in risk estimation and a more severe attenuation of the exposure-response relationship than unshared exposure uncertainty or exposure uncertainty shared between individuals. These findings underline the importance of careful characterisation and modeling of exposure uncertainty in observational studies.

  4. Shared and unshared exposure measurement error in occupational cohort studies and their effects on statistical inference in proportional hazards models

    PubMed Central

    Laurier, Dominique; Rage, Estelle

    2018-01-01

    Exposure measurement error represents one of the most important sources of uncertainty in epidemiology. When exposure uncertainty is not or only poorly accounted for, it can lead to biased risk estimates and a distortion of the shape of the exposure-response relationship. In occupational cohort studies, the time-dependent nature of exposure and changes in the method of exposure assessment may create complex error structures. When a method of group-level exposure assessment is used, individual worker practices and the imprecision of the instrument used to measure the average exposure for a group of workers may give rise to errors that are shared between workers, within workers or both. In contrast to unshared measurement error, the effects of shared errors remain largely unknown. Moreover, exposure uncertainty and magnitude of exposure are typically highest for the earliest years of exposure. We conduct a simulation study based on exposure data of the French cohort of uranium miners to compare the effects of shared and unshared exposure uncertainty on risk estimation and on the shape of the exposure-response curve in proportional hazards models. Our results indicate that uncertainty components shared within workers cause more bias in risk estimation and a more severe attenuation of the exposure-response relationship than unshared exposure uncertainty or exposure uncertainty shared between individuals. These findings underline the importance of careful characterisation and modeling of exposure uncertainty in observational studies. PMID:29408862

  5. Error recovery in shared memory multiprocessors using private caches

    NASA Technical Reports Server (NTRS)

    Wu, Kun-Lung; Fuchs, W. Kent; Patel, Janak H.

    1990-01-01

    The problem of recovering from processor transient faults in shared memory multiprocesses systems is examined. A user-transparent checkpointing and recovery scheme using private caches is presented. Processes can recover from errors due to faulty processors by restarting from the checkpointed computation state. Implementation techniques using checkpoint identifiers and recovery stacks are examined as a means of reducing performance degradation in processor utilization during normal execution. This cache-based checkpointing technique prevents rollback propagation, provides rapid recovery, and can be integrated into standard cache coherence protocols. An analytical model is used to estimate the relative performance of the scheme during normal execution. Extensions to take error latency into account are presented.

  6. Eleven-year descriptive analysis of closed court verdicts on medical errors in Spain and Massachusetts

    PubMed Central

    Giraldo, Priscila; Sato, Luke; Martínez-Sánchez, Jose M; Comas, Mercè; Dwyer, Kathy; Sala, Maria; Castells, Xavier

    2016-01-01

    Objectives To evaluate and compare the characteristics of court verdicts on medical errors allegedly harming patients in Spain and Massachusetts from 2002 to 2012. Design, setting and participants We reviewed 1041 closed court verdicts obtained from data on litigation in the Thomson Reuters Aranzadi Westlaw databases in Spain (Europe), and 370 closed court verdicts obtained from the Controlled Risk and Risk Management Foundation of Harvard Medical Institutions (CRICO/RMF) in Massachusetts (USA). We included closed court verdicts on medical errors. The definition of medical errors was based on that of the Institute of Medicine (USA). We excluded any agreements between parties before a judgement. Results Medical errors were involved in 25.9% of court verdicts in Spain and in 74% of those in Massachusetts. The most frequent cause of medical errors was a diagnosis-related problem (25.1%; 95% CI 20.7% to 31.1% in Spain; 35%; 95% CI 29.4% to 40.7% in Massachusetts). The proportion of medical errors classified as high severity was 34% higher in Spain than in Massachusetts (p=0.001). The most frequent factors contributing to medical errors in Spain were surgical and medical treatment (p=0.001). In Spain, 98.5% of medical errors resulted in compensation awards compared with only 6.9% in Massachusetts. Conclusions This study reveals wide differences in litigation rates and the award of indemnity payments in Spain and Massachusetts; however, common features of both locations are the high rates of diagnosis-related problems and the long time interval until resolution. PMID:27577585

  7. Preventing medication errors in cancer chemotherapy.

    PubMed

    Cohen, M R; Anderson, R W; Attilio, R M; Green, L; Muller, R J; Pruemer, J M

    1996-04-01

    Recommendations for preventing medication errors in cancer chemotherapy are made. Before a health care provider is granted privileges to prescribe, dispense, or administer antineoplastic agents, he or she should undergo a tailored educational program and possibly testing or certification. Appropriate reference materials should be developed. Each institution should develop a dose-verification process with as many independent checks as possible. A detailed checklist covering prescribing, transcribing, dispensing, and administration should be used. Oral orders are not acceptable. All doses should be calculated independently by the physician, the pharmacist, and the nurse. Dosage limits should be established and a review process set up for doses that exceed the limits. These limits should be entered into pharmacy computer systems, listed on preprinted order forms, stated on the product packaging, placed in strategic locations in the institution, and communicated to employees. The prescribing vocabulary must be standardized. Acronyms, abbreviations, and brand names must be avoided and steps taken to avoid other sources of confusion in the written orders, such as trailing zeros. Preprinted antineoplastic drug order forms containing checklists can help avoid errors. Manufacturers should be encouraged to avoid or eliminate ambiguities in drug names and dosing information. Patients must be educated about all aspects of their cancer chemotherapy, as patients represent a last line of defense against errors. An interdisciplinary team at each practice site should review every medication error reported. Pharmacists should be involved at all sites where antineoplastic agents are dispensed. Although it may not be possible to eliminate all medication errors in cancer chemotherapy, the risk can be minimized through specific steps. Because of their training and experience, pharmacists should take the lead in this effort.

  8. Medication errors: the role of the patient.

    PubMed

    Britten, Nicky

    2009-06-01

    1. Patients and their carers will usually be the first to notice any observable problems resulting from medication errors. They will probably be unable to distinguish between medication errors, adverse drug reactions, or 'side effects'. 2. Little is known about how patients understand drug related problems or how they make attributions of adverse effects. Some research suggests that patients' cognitive models of adverse drug reactions bear a close relationship to models of illness perception. 3. Attributions of adverse drug reactions are related to people's previous experiences and to their level of education. The evidence suggests that on the whole patients' reports of adverse drug reactions are accurate. However, patients do not report all the problems they perceive and are more likely to report those that they do perceive as severe. Patients may not report problems attributed to their medications if they are fearful of doctors' reactions. Doctors may respond inappropriately to patients' concerns, for example by ignoring them. Some authors have proposed the use of a symptom checklist to elicit patients' reports of suspected adverse drug reactions. 4. Many patients want information about adverse drug effects, and the challenge for the professional is to judge how much information to provide and the best way of doing so. Professionals' inappropriate emphasis on adherence may be dangerous when a medication error has occurred. 5. Recent NICE guidelines recommend that professionals should ask patients if they have any concerns about their medicines, and this approach is likely to yield information conducive to the identification of medication errors.

  9. Data repositories for medical education research: issues and recommendations.

    PubMed

    Schwartz, Alan; Pappas, Cleo; Sandlow, Leslie J

    2010-05-01

    The authors explore issues surrounding digital repositories with the twofold intention of clarifying their creation, structure, content, and use, and considering the implementation of a global digital repository for medical education research data sets-an online site where medical education researchers would be encouraged to deposit their data in order to facilitate the reuse and reanalysis of the data by other researchers. By motivating data sharing and reuse, investigators, medical schools, and other stakeholders might see substantial benefits to their own endeavors and to the progress of the field of medical education.The authors review digital repositories in medicine, social sciences, and education, describe the contents and scope of repositories, and present extant examples. The authors describe the potential benefits of a medical education data repository and report results of a survey of the Society for Directors of Research in Medicine Education, in which participants responded to questions about data sharing and a potential data repository. Respondents strongly endorsed data sharing, with the caveat that principal investigators should choose whether or not to share data they collect. A large majority believed that a repository would benefit their unit and the field of medical education. Few reported using existing repositories. Finally, the authors consider challenges to the establishment of such a repository, including taxonomic organization, intellectual property concerns, human subjects protection, technological infrastructure, and evaluation standards. The authors conclude with recommendations for how a medical education data repository could be successfully developed.

  10. Impact of clinical pharmacy interventions on medication error nodes.

    PubMed

    Chamoun, Nibal R; Zeenny, Rony; Mansour, Hanine

    2016-12-01

    Background Pharmacists' involvement in patient care has improved the quality of care and reduced medication errors. However, this has required a lot of work that could not have been accomplished without documentation of interventions. Several means of documenting errors have been proposed in the literature but without a consistent comprehensive process. Recently, the American College of Clinical Pharmacy (ACCP) recognized that pharmacy practice lacks a consistent process for direct patient care and discussed several options for a pharmaceutical care plan, essentially encompassing medication therapy assessment, development and implementation of a pharmaceutical care plan and finally evaluation of the outcome. Therefore, as per the recommendations of ACCP, we sought to retrospectively analyze interventions by grouping them according to medication related problems (MRP) and their nodes such as prescribing; administering; monitoring; documenting and dispensing. Objective The aim of this study is to report interventions according to medication error (ME) nodes and show the impact of pharmacy interventions in reducing MRPs. Setting The study was conducted at the cardiology and infectious diseases services at a teaching hospital located in Beirut, Lebanon. Methods Intervention documentation was completed by pharmacy students on infectious diseases and cardiology rotations then reviewed by clinical pharmacists with respective specialties. Before data analysis, a new pharmacy reporting sheet was developed in order to link interventions according to MRP. Then, MRPs were grouped in the five ME nodes. During the documentation process, whether MRP had reached the patient or not may have not been reported which prevented the classification to the corresponding medication error nodes as ME. Main outcome Reduction in medication related problems across all ME nodes. Results A total of n = 1174 interventions were documented. N = 1091 interventions were classified as MRPs

  11. [Errors in Peruvian medical journals references].

    PubMed

    Huamaní, Charles; Pacheco-Romero, José

    2009-01-01

    References are fundamental in our studies; an adequate selection is asimportant as an adequate description. To determine the number of errors in a sample of references found in Peruvian medical journals. We reviewed 515 scientific papers references selected by systematic randomized sampling and corroborated reference information with the original document or its citation in Pubmed, LILACS or SciELO-Peru. We found errors in 47,6% (245) of the references, identifying 372 types of errors; the most frequent were errors in presentation style (120), authorship (100) and title (100), mainly due to spelling mistakes (91). References error percentage was high, varied and multiple. We suggest systematic revision of references in the editorial process as well as to extend the discussion on this theme. references, periodicals, research, bibliometrics.

  12. Confidentiality issues for medical data miners.

    PubMed

    Berman, Jules J

    2002-01-01

    The first task in any medical data mining effort is ensuring patient confidentiality. In the past, most data mining efforts ensured confidentiality by the dubious policy of withholding their raw data from colleagues and the public. A cursory review of medical informatics literature in the past decade reveals that much of what we have "learned" consists of assertions derived from confidential datasets unavailable for anyone's review. Without access to the original data, it is impossible to validate or improve upon a researcher's conclusions. Without access to research data, we are asked to accept findings as an act of faith, rather than as a scientific conclusion. This special issue of Artificial Intelligence in Medicine is devoted to medical data mining. The medical data miner has an obligation to conduct valid research in a way that protects human subjects. Today, data miners have the technical tools to merge large data collections and to distribute queries over disparate databases. In order to include patient-related data in shared databases, data miners will need methods to anonymize and deidentify data. This article reviews the human subject risks associated with medical data mining. This article also describes some of the innovative computational remedies that will permit researchers to conduct research AND share their data without risk to patient or institution.

  13. Multiscale measurement error models for aggregated small area health data.

    PubMed

    Aregay, Mehreteab; Lawson, Andrew B; Faes, Christel; Kirby, Russell S; Carroll, Rachel; Watjou, Kevin

    2016-08-01

    Spatial data are often aggregated from a finer (smaller) to a coarser (larger) geographical level. The process of data aggregation induces a scaling effect which smoothes the variation in the data. To address the scaling problem, multiscale models that link the convolution models at different scale levels via the shared random effect have been proposed. One of the main goals in aggregated health data is to investigate the relationship between predictors and an outcome at different geographical levels. In this paper, we extend multiscale models to examine whether a predictor effect at a finer level hold true at a coarser level. To adjust for predictor uncertainty due to aggregation, we applied measurement error models in the framework of multiscale approach. To assess the benefit of using multiscale measurement error models, we compare the performance of multiscale models with and without measurement error in both real and simulated data. We found that ignoring the measurement error in multiscale models underestimates the regression coefficient, while it overestimates the variance of the spatially structured random effect. On the other hand, accounting for the measurement error in multiscale models provides a better model fit and unbiased parameter estimates. © The Author(s) 2016.

  14. Medication Timing Errors for Parkinson's Disease: Perspectives Held by Caregivers and People with Parkinson's in New Zealand

    PubMed Central

    Buetow, Stephen; Henshaw, Jenny; Bryant, Linda; O'Sullivan, Deirdre

    2010-01-01

    Background. Common but seldom published are Parkinson's disease (PD) medication errors involving late, extra, or missed doses. These errors can reduce medication effectiveness and the quality of life of people with PD and their caregivers. Objective. To explore lay perspectives of factors contributing to medication timing errors for PD in hospital and community settings. Design and Methods. This qualitative research purposively sampled individuals with PD, or a proxy of their choice, throughout New Zealand during 2008-2009. Data collection involved 20 semistructured, personal interviews by telephone. A general inductive analysis of the data identified core insights consistent with the study objective. Results. Five themes help to account for possible timing adherence errors by people with PD, their caregivers or professionals. The themes are the abrupt withdrawal of PD medication; wrong, vague or misread instructions; devaluation of the lay role in managing PD medications; deficits in professional knowledge and in caring behavior around PD in formal health care settings; and lay forgetfulness. Conclusions. The results add to the limited published research on medication errors in PD and help to confirm anecdotal experience internationally. They indicate opportunities for professionals and lay people to work together to reduce errors in the timing of medication for PD in hospital and community settings. PMID:20975777

  15. A retrospective review of medical errors adjudicated in court between 2002 and 2012 in Spain.

    PubMed

    Giraldo, Priscila; Sato, Luke; Sala, María; Comas, Merce; Dywer, Kathy; Castells, Xavier

    2016-02-01

    This paper describes verdicts in court involving injury-producing medical errors in Spain. A descriptive analysis of 1041 closed court verdicts from Spain between January 2002 and December 2012. It was determined whether a medical error had occurred, and among those with medical error (n = 270), characteristics and results of litigation were analyzed. Data on litigation were obtained from the Thomson Reuters Aranzadi Westlaw databases. All verdicts involving health system were reviewed and classified according to the presence of medical error. Among those, contributory factors, medical specialty involved, health impact (death, disability and severity) and results of litigation (resolution, time to verdict and economic compensations) were described. Medical errors were involved in 25.9% of court verdicts. The cause of medical error was a diagnosis-related problem in 25.1% and surgical treatment in 22.2%, and Obstetrics-Gynecology was the most frequent involved specialty (21%). Most of them were of high severity (59.4%), one-third (32%) caused death. The average time interval between the occurrence of the error and the verdict was 7.8 years. The average indemnity payment was €239 505.24; the highest was psychiatry (€7 585 075.86) and the lowest was Emergency Medicine (€69 871.19). This study indicates that in Spain medical errors are common among verdicts involving the health system, most of them causing high-severity adverse outcomes. The interval between the medical error and the verdict is excessive, and there is a wide range of economic compensation. © The Author 2015. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

  16. Genomic data-sharing: what will be our legacy?

    PubMed Central

    Callier, Shawneequa; Husain, Rajah; Simpson, Rachel

    2014-01-01

    Prior to 1974, the Tuskegee Syphilis experiments, expansive use of the HeLa cells, and other blatant instances of research abuse pervaded the medical research field. Ongoing challenges to informed consent, privacy and data-sharing will influence the stories that research participants today share with future generations. This has significant implications for the advancement of genomic science, and the public's perception of genomic research. PMID:24634673

  17. An Overview of ISS Human Research Data Sharing

    NASA Technical Reports Server (NTRS)

    Morshedi, Pasha

    2015-01-01

    This presentation is an attempt to clarify several aspects of the current procedures, tools, and challenges of human data sharing for ISS flight activities. There are several binary variables to consider with respect to human spaceflight data sharing: Medical vs. Research, Active Flight vs. Non-Flight, Tactical vs. Supplemental, Prospective vs. Retrospective. This presentation will address each of these variables and how they determine which processes and mechanisms are used both to document and facilitate human data sharing. Some of these variables will likely be so obvious that they induce eye rolls. Please bear with us. We're trying to make these slides fairly rudimentary for a wide, (eventually) international audience. Other distinctions are made if data originated from a NASA vs. IP crewmember. Those distinctions will be made apparent when needed.

  18. Barriers to the medication error reporting process within the Irish National Ambulance Service, a focus group study.

    PubMed

    Byrne, Eamonn; Bury, Gerard

    2018-02-08

    Incident reporting is vital to identifying pre-hospital medication safety issues because literature suggests that the majority of errors pre-hospital are self-identified. In 2016, the National Ambulance Service (NAS) reported 11 medication errors to the national body with responsibility for risk management and insurance cover. The Health Information and Quality Authority in 2014 stated that reporting of clinical incidents, of which medication errors are a subset, was not felt to be representative of the actual events occurring. Even though reporting systems are in place, the levels appear to be well below what might be expected. Little data is available to explain this apparent discrepancy. To identify, investigate and document the barriers to medication error reporting within the NAS. An independent moderator led four focus groups in March of 2016. A convenience sample of 18 frontline Paramedics and Advanced Paramedics from Cork City and County discussed medication errors and the medication error reporting process. The sessions were recorded and anonymised, and the data was analysed using a process of thematic analysis. Practitioners understood the value of reporting errors. Barriers to reporting included fear of consequences and ridicule, procedural ambiguity, lack of feedback and a perceived lack of both consistency and confidentiality. The perceived consequences for making an error included professional, financial, litigious and psychological. Staff appeared willing to admit errors in a psychologically safe environment. Barriers to reporting are in line with international evidence. Time constraints prevented achievement of thematic saturation. Further study is warranted.

  19. Eleven-year descriptive analysis of closed court verdicts on medical errors in Spain and Massachusetts.

    PubMed

    Giraldo, Priscila; Sato, Luke; Martínez-Sánchez, Jose M; Comas, Mercè; Dwyer, Kathy; Sala, Maria; Castells, Xavier

    2016-08-30

    To evaluate and compare the characteristics of court verdicts on medical errors allegedly harming patients in Spain and Massachusetts from 2002 to 2012. We reviewed 1041 closed court verdicts obtained from data on litigation in the Thomson Reuters Aranzadi Westlaw databases in Spain (Europe), and 370 closed court verdicts obtained from the Controlled Risk and Risk Management Foundation of Harvard Medical Institutions (CRICO/RMF) in Massachusetts (USA). We included closed court verdicts on medical errors. The definition of medical errors was based on that of the Institute of Medicine (USA). We excluded any agreements between parties before a judgement. Medical errors were involved in 25.9% of court verdicts in Spain and in 74% of those in Massachusetts. The most frequent cause of medical errors was a diagnosis-related problem (25.1%; 95% CI 20.7% to 31.1% in Spain; 35%; 95% CI 29.4% to 40.7% in Massachusetts). The proportion of medical errors classified as high severity was 34% higher in Spain than in Massachusetts (p=0.001). The most frequent factors contributing to medical errors in Spain were surgical and medical treatment (p=0.001). In Spain, 98.5% of medical errors resulted in compensation awards compared with only 6.9% in Massachusetts. This study reveals wide differences in litigation rates and the award of indemnity payments in Spain and Massachusetts; however, common features of both locations are the high rates of diagnosis-related problems and the long time interval until resolution. 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/

  20. The influence of the structure and culture of medical group practices on prescription drug errors.

    PubMed

    Kralewski, John E; Dowd, Bryan E; Heaton, Alan; Kaissi, Amer

    2005-08-01

    This project was designed to identify the magnitude of prescription drug errors in medical group practices and to explore the influence of the practice structure and culture on those error rates. Seventy-eight practices serving an upper Midwest managed care (Care Plus) plan during 2001 were included in the study. Using Care Plus claims data, prescription drug error rates were calculated at the enrollee level and then were aggregated to the group practice that each enrollee selected to provide and manage their care. Practice structure and culture data were obtained from surveys of the practices. Data were analyzed using multivariate regression. Both the culture and the structure of these group practices appear to influence prescription drug error rates. Seeing more patients per clinic hour, more prescriptions per patient, and being cared for in a rural clinic were all strongly associated with more errors. Conversely, having a case manager program is strongly related to fewer errors in all of our analyses. The culture of the practices clearly influences error rates, but the findings are mixed. Practices with cohesive cultures have lower error rates but, contrary to our hypothesis, cultures that value physician autonomy and individuality also have lower error rates than those with a more organizational orientation. Our study supports the contention that there are a substantial number of prescription drug errors in the ambulatory care sector. Even by the strictest definition, there were about 13 errors per 100 prescriptions for Care Plus patients in these group practices during 2001. Our study demonstrates that the structure of medical group practices influences prescription drug error rates. In some cases, this appears to be a direct relationship, such as the effects of having a case manager program on fewer drug errors, but in other cases the effect appears to be indirect through the improvement of drug prescribing practices. An important aspect of this study is that

  1. [Management of medication errors in general medical practice: Study in a pluriprofessionnal health care center].

    PubMed

    Pourrain, Laure; Serin, Michel; Dautriche, Anne; Jacquetin, Fréderic; Jarny, Christophe; Ballenecker, Isabelle; Bahous, Mickaël; Sgro, Catherine

    2018-06-07

    Medication errors are the most frequent medical care adverse events in France. Their management process used in hospital remains poorly applied in primary ambulatory care. The main objective of our study was to assess medication error management in general ambulatory practice. The secondary objectives were the characterization of the errors and the analysis of their root causes in order to implement corrective measures. The study was performed in a pluriprofessionnal health care house, applying the stages and tools validated by the French high health authority, that we previously adapted to ambulatory medical cares. During the 3 months study 4712 medical consultations were performed and we collected 64 medication errors. Most of affected patients were at the extreme ages of life (9,4 % before 9 years and 64 % after 70 years). Medication errors occurred at home in 39,1 % of cases, at pluriprofessionnal health care house (25,0 %) or at drugstore (17,2 %). They led to serious clinical consequences (classified as major, critical or catastrophic) in 17,2 % of cases. Drug induced adverse effects occurred in 5 patients, 3 of them needing hospitalization (1 patient recovered, 1 displayed sequelae and 1 died). In more than half of cases, the errors occurred at prescribing stage. The most frequent type of errors was the use of a wrong drug, different from that indicated for the patient (37,5 %) and poor treatment adherence (18,75 %). The systemic reported causes were a care process dysfunction (in coordination or procedure), the health care action context (patient home, not planned act, professional overwork), human factors such as patient and professional condition. The professional team adherence to the study was excellent. Our study demonstrates, for the first time in France, that medication errors management in ambulatory general medical care can be implemented in a pluriprofessionnal health care house with two conditions: the presence of a trained team

  2. A Just Culture Approach to Managing Medication Errors.

    PubMed

    Rogers, Erin; Griffin, Emily; Carnie, William; Melucci, Joseph; Weber, Robert J

    2017-04-01

    Medication errors continue to be a concern of health care providers and the public, in particular how to prevent harm from medication mistakes. Many health care workers are afraid to report errors for fear of retribution including the loss of professional licensure and even imprisonment. Most health care workers are silent, instead of admitting their mistake and discussing it openly with peers. This can result in further patient harm if the system causing the mistake is not identified and fixed; thus self-denial may have a negative impact on patient care outcomes. As a result, pharmacy leaders, in collaboration with others, must put systems in place that serve to prevent medication errors while promoting a "Just Culture" way of managing performance and outcomes. This culture must exist across disciplines and departments. Pharmacy leaders need to understand how to classify behaviors associated with errors, set realistic expectations, instill values for staff, and promote accountability within the workplace. This article reviews the concept of Just Culture and provides ways that pharmacy directors can use this concept to manage the degree of error in patient-centered pharmacy services.

  3. Who Do Hospital Physicians and Nurses Go to for Advice About Medications? A Social Network Analysis and Examination of Prescribing Error Rates.

    PubMed

    Creswick, Nerida; Westbrook, Johanna Irene

    2015-09-01

    To measure the weekly medication advice-seeking networks of hospital staff, to compare patterns across professional groups, and to examine these in the context of prescribing error rates. A social network analysis was conducted. All 101 staff in 2 wards in a large, academic teaching hospital in Sydney, Australia, were surveyed (response rate, 90%) using a detailed social network questionnaire. The extent of weekly medication advice seeking was measured by density of connections, proportion of reciprocal relationships by reciprocity, number of colleagues to whom each person provided advice by in-degree, and perceptions of amount and impact of advice seeking between physicians and nurses. Data on prescribing error rates from the 2 wards were compared. Weekly medication advice-seeking networks were sparse (density: 7% ward A and 12% ward B). Information sharing across professional groups was modest, and rates of reciprocation of advice were low (9% ward A, 14% ward B). Pharmacists provided advice to most people, and junior physicians also played central roles. Senior physicians provided medication advice to few people. Many staff perceived that physicians rarely sought advice from nurses when prescribing, but almost all believed that an increase in communication between physicians and nurses about medications would improve patient safety. The medication networks in ward B had higher measures for density, reciprocation, and fewer senior physicians who were isolates. Ward B had a significantly lower rate of both procedural and clinical prescribing errors than ward A (0.63 clinical prescribing errors per admission [95%CI, 0.47-0.79] versus 1.81/ admission [95%CI, 1.49-2.13]). Medication advice-seeking networks among staff on hospital wards are limited. Hubs of advice provision include pharmacists, junior physicians, and senior nurses. Senior physicians are poorly integrated into medication advice networks. Strategies to improve the advice-giving networks between senior

  4. The application of Aronson's taxonomy to medication errors in nursing.

    PubMed

    Johnson, Maree; Young, Helen

    2011-01-01

    Medication administration is a frequent nursing activity that is prone to error. In this study of 318 self-reported medication incidents (including near misses), very few resulted in patient harm-7% required intervention or prolonged hospitalization or caused temporary harm. Aronson's classification system provided an excellent framework for analysis of the incidents with a close connection between the type of error and the change strategy to minimize medication incidents. Taking a behavioral approach to medication error classification has provided helpful strategies for nurses such as nurse-call cards on patient lockers when patients are absent and checking of medication sign-off by outgoing and incoming staff at handover.

  5. Structured inspection of medications carried and stored by emergency medical services agencies identifies practices that may lead to medication errors.

    PubMed

    Kupas, Douglas F; Shayhorn, Meghan A; Green, Paul; Payton, Thomas F

    2012-01-01

    Medications are essential to emergency medical services (EMS) agencies when providing lifesaving care, but the EMS environment has challenges related to safe medication storage when compared with a hospital setting. We developed a structured process, based on common pharmacy practices, to review medications carried by EMS agencies to identify situations that may lead to medication error and to determine some best practices that may reduce potential errors and the risk of patient harm. To provide a descriptive account of EMS practices related to carrying and storing medications that have the potential for causing a medication administration error or patient harm. Using a structured process for inspection, an emergency medicine pharmacist and emergency physician(s) reviewed the medication carrying and storage practices of all nine advanced life support ambulance agencies within a five-county EMS region. Each medication carried and stored by the EMS agency was inspected for predetermined and spontaneously observed issues that could lead to medication error. These issues were documented and photographed. Two EMS medical directors reviewed each potential error for the risk of producing patient harm and assigned each to a category of high, moderate, or low risk. Because issues of temperature on EMS medications have been addressed elsewhere, this study concentrated on potential for EMS medication administration errors exclusive of storage temperatures. When reviewing medications carried by the nine EMS agencies, 38 medication safety issues were identified (range 1 to 8 per EMS agency). Of these, 16 were considered to be high risk, 14 moderate risk, and eight low risk for patient harm. Examples of potential issues included carrying expired medications, container-labeling issues, different medications stored in look-alike vials or prefilled syringes in the same compartment, and carrying crystalloid solutions next to solutions premixed with a medication. When reviewing

  6. Prescription Medication Sharing: A Systematic Review of the Literature

    PubMed Central

    Beyene, Kebede A.; Sheridan, Janie; Aspden, Trudi

    2014-01-01

    We reviewed the literature on nonrecreational prescription medication sharing. We searched PubMed, EMBASE, PsycINFO, and a customized multidatabase for all relevant articles published through 2013; our final sample comprised 19 studies from 9 countries with 36 182 participants, ranging in age from children to older adults, and published between 1990 and 2011. The prevalence rate for borrowing someone’s prescription medication was 5% to 51.9% and for lending prescription medication to someone else was 6% to 22.9%. A wide range of medicines were shared between family members, friends, and acquaintances. Sharing of many classes of prescription medication was common. Further research should explore why people share, how they decide to lend or borrow, whether they are aware of the risks, and how they assess the relevance of those risks. PMID:24524496

  7. Barriers to Medical Error Reporting for Physicians and Nurses.

    PubMed

    Soydemir, Dilek; Seren Intepeler, Seyda; Mert, Hatice

    2017-10-01

    The purpose of the study was to determine what barriers to error reporting exist for physicians and nurses. The study, of descriptive qualitative design, was conducted with physicians and nurses working at a training and research hospital. In-depth interviews were held with eight physicians and 15 nurses, a total of 23 participants. Physicians and nurses do not choose to report medical errors that they experience or witness. When barriers to error reporting were examined, it was seen that there were four main themes involved: fear, the attitude of administration, barriers related to the system, and the employees' perceptions of error. It is important in terms of preventing medical errors to identify the barriers that keep physicians and nurses from reporting errors.

  8. Medication errors in the Middle East countries: a systematic review of the literature.

    PubMed

    Alsulami, Zayed; Conroy, Sharon; Choonara, Imti

    2013-04-01

    Medication errors are a significant global concern and can cause serious medical consequences for patients. Little is known about medication errors in Middle Eastern countries. The objectives of this systematic review were to review studies of the incidence and types of medication errors in Middle Eastern countries and to identify the main contributory factors involved. A systematic review of the literature related to medication errors in Middle Eastern countries was conducted in October 2011 using the following databases: Embase, Medline, Pubmed, the British Nursing Index and the Cumulative Index to Nursing & Allied Health Literature. The search strategy included all ages and languages. Inclusion criteria were that the studies assessed or discussed the incidence of medication errors and contributory factors to medication errors during the medication treatment process in adults or in children. Forty-five studies from 10 of the 15 Middle Eastern countries met the inclusion criteria. Nine (20 %) studies focused on medication errors in paediatric patients. Twenty-one focused on prescribing errors, 11 measured administration errors, 12 were interventional studies and one assessed transcribing errors. Dispensing and documentation errors were inadequately evaluated. Error rates varied from 7.1 % to 90.5 % for prescribing and from 9.4 % to 80 % for administration. The most common types of prescribing errors reported were incorrect dose (with an incidence rate from 0.15 % to 34.8 % of prescriptions), wrong frequency and wrong strength. Computerised physician rder entry and clinical pharmacist input were the main interventions evaluated. Poor knowledge of medicines was identified as a contributory factor for errors by both doctors (prescribers) and nurses (when administering drugs). Most studies did not assess the clinical severity of the medication errors. Studies related to medication errors in the Middle Eastern countries were relatively few in number and of poor quality

  9. Disclosure of Medical Errors: What Factors Influence How Patients Respond?

    PubMed Central

    Mazor, Kathleen M; Reed, George W; Yood, Robert A; Fischer, Melissa A; Baril, Joann; Gurwitz, Jerry H

    2006-01-01

    BACKGROUND Disclosure of medical errors is encouraged, but research on how patients respond to specific practices is limited. OBJECTIVE This study sought to determine whether full disclosure, an existing positive physician-patient relationship, an offer to waive associated costs, and the severity of the clinical outcome influenced patients' responses to medical errors. PARTICIPANTS Four hundred and seven health plan members participated in a randomized experiment in which they viewed video depictions of medical error and disclosure. DESIGN Subjects were randomly assigned to experimental condition. Conditions varied in type of medication error, level of disclosure, reference to a prior positive physician-patient relationship, an offer to waive costs, and clinical outcome. MEASURES Self-reported likelihood of changing physicians and of seeking legal advice; satisfaction, trust, and emotional response. RESULTS Nondisclosure increased the likelihood of changing physicians, and reduced satisfaction and trust in both error conditions. Nondisclosure increased the likelihood of seeking legal advice and was associated with a more negative emotional response in the missed allergy error condition, but did not have a statistically significant impact on seeking legal advice or emotional response in the monitoring error condition. Neither the existence of a positive relationship nor an offer to waive costs had a statistically significant impact. CONCLUSIONS This study provides evidence that full disclosure is likely to have a positive effect or no effect on how patients respond to medical errors. The clinical outcome also influences patients' responses. The impact of an existing positive physician-patient relationship, or of waiving costs associated with the error remains uncertain. PMID:16808770

  10. Preserving Patient Privacy When Sharing Same-Disease Data.

    PubMed

    Liu, Xiaoping; Li, Xiao-Bai; Motiwalla, Luvai; Li, Wenjun; Zheng, Hua; Franklin, Patricia D

    2016-10-01

    Medical and health data are often collected for studying a specific disease. For such same-disease microdata, a privacy disclosure occurs as long as an individual is known to be in the microdata. Individuals in same-disease microdata are thus subject to higher disclosure risk than those in microdata with different diseases. This important problem has been overlooked in data-privacy research and practice, and no prior study has addressed this problem. In this study, we analyze the disclosure risk for the individuals in same-disease microdata and propose a new metric that is appropriate for measuring disclosure risk in this situation. An efficient algorithm is designed and implemented for anonymizing same-disease data to minimize the disclosure risk while keeping data utility as good as possible. An experimental study was conducted on real patient and population data. Experimental results show that traditional reidentification risk measures underestimate the actual disclosure risk for the individuals in same-disease microdata and demonstrate that the proposed approach is very effective in reducing the actual risk for same-disease data. This study suggests that privacy protection policy and practice for sharing medical and health data should consider not only the individuals' identifying attributes but also the health and disease information contained in the data. It is recommended that data-sharing entities employ a statistical approach, instead of the HIPAA's Safe Harbor policy, when sharing same-disease microdata.

  11. Preserving Patient Privacy When Sharing Same-Disease Data

    PubMed Central

    LIU, XIAOPING; LI, XIAO-BAI; MOTIWALLA, LUVAI; LI, WENJUN; ZHENG, HUA; FRANKLIN, PATRICIA D.

    2016-01-01

    Medical and health data are often collected for studying a specific disease. For such same-disease microdata, a privacy disclosure occurs as long as an individual is known to be in the microdata. Individuals in same-disease microdata are thus subject to higher disclosure risk than those in microdata with different diseases. This important problem has been overlooked in data-privacy research and practice, and no prior study has addressed this problem. In this study, we analyze the disclosure risk for the individuals in same-disease microdata and propose a new metric that is appropriate for measuring disclosure risk in this situation. An efficient algorithm is designed and implemented for anonymizing same-disease data to minimize the disclosure risk while keeping data utility as good as possible. An experimental study was conducted on real patient and population data. Experimental results show that traditional reidentification risk measures underestimate the actual disclosure risk for the individuals in same-disease microdata and demonstrate that the proposed approach is very effective in reducing the actual risk for same-disease data. This study suggests that privacy protection policy and practice for sharing medical and health data should consider not only the individuals’ identifying attributes but also the health and disease information contained in the data. It is recommended that data-sharing entities employ a statistical approach, instead of the HIPAA's Safe Harbor policy, when sharing same-disease microdata. PMID:27867450

  12. Shared dosimetry error in epidemiological dose-response analyses

    DOE PAGES

    Stram, Daniel O.; Preston, Dale L.; Sokolnikov, Mikhail; ...

    2015-03-23

    Radiation dose reconstruction systems for large-scale epidemiological studies are sophisticated both in providing estimates of dose and in representing dosimetry uncertainty. For example, a computer program was used by the Hanford Thyroid Disease Study to provide 100 realizations of possible dose to study participants. The variation in realizations reflected the range of possible dose for each cohort member consistent with the data on dose determinates in the cohort. Another example is the Mayak Worker Dosimetry System 2013 which estimates both external and internal exposures and provides multiple realizations of "possible" dose history to workers given dose determinants. This paper takesmore » up the problem of dealing with complex dosimetry systems that provide multiple realizations of dose in an epidemiologic analysis. In this paper we derive expected scores and the information matrix for a model used widely in radiation epidemiology, namely the linear excess relative risk (ERR) model that allows for a linear dose response (risk in relation to radiation) and distinguishes between modifiers of background rates and of the excess risk due to exposure. We show that treating the mean dose for each individual (calculated by averaging over the realizations) as if it was true dose (ignoring both shared and unshared dosimetry errors) gives asymptotically unbiased estimates (i.e. the score has expectation zero) and valid tests of the null hypothesis that the ERR slope β is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of β) is biased for β≠0 when ignoring errors in dose estimates, and we show how to adjust the information matrix to remove this bias, using the multiple realizations of dose. The use of these methods in the context of several studies including, the Mayak Worker Cohort, and the U.S. Atomic Veterans Study, is discussed.« less

  13. Shared Dosimetry Error in Epidemiological Dose-Response Analyses

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Stram, Daniel O.; Preston, Dale L.; Sokolnikov, Mikhail

    2015-03-23

    Radiation dose reconstruction systems for large-scale epidemiological studies are sophisticated both in providing estimates of dose and in representing dosimetry uncertainty. For example, a computer program was used by the Hanford Thyroid Disease Study to provide 100 realizations of possible dose to study participants. The variation in realizations reflected the range of possible dose for each cohort member consistent with the data on dose determinates in the cohort. Another example is the Mayak Worker Dosimetry System 2013 which estimates both external and internal exposures and provides multiple realizations of "possible" dose history to workers given dose determinants. This paper takesmore » up the problem of dealing with complex dosimetry systems that provide multiple realizations of dose in an epidemiologic analysis. In this paper we derive expected scores and the information matrix for a model used widely in radiation epidemiology, namely the linear excess relative risk (ERR) model that allows for a linear dose response (risk in relation to radiation) and distinguishes between modifiers of background rates and of the excess risk due to exposure. We show that treating the mean dose for each individual (calculated by averaging over the realizations) as if it was true dose (ignoring both shared and unshared dosimetry errors) gives asymptotically unbiased estimates (i.e. the score has expectation zero) and valid tests of the null hypothesis that the ERR slope β is zero. Although the score is unbiased the information matrix (and hence the standard errors of the estimate of β) is biased for β≠0 when ignoring errors in dose estimates, and we show how to adjust the information matrix to remove this bias, using the multiple realizations of dose. Use of these methods for several studies, including the Mayak Worker Cohort and the U.S. Atomic Veterans Study, is discussed.« less

  14. The Environmental Context of Patient Safety and Medical Errors

    ERIC Educational Resources Information Center

    Wholey, Douglas; Moscovice, Ira; Hietpas, Terry; Holtzman, Jeremy

    2004-01-01

    The environmental context of patient safety and medical errors was explored with specific interest in rural settings. Special attention was paid to unique features of rural health care organizations and their environment that relate to the patient safety issue and medical errors (including the distribution of patients, types of adverse events…

  15. The incidence and severity of errors in pharmacist-written discharge medication orders.

    PubMed

    Onatade, Raliat; Sawieres, Sara; Veck, Alexandra; Smith, Lindsay; Gore, Shivani; Al-Azeib, Sumiah

    2017-08-01

    Background Errors in discharge prescriptions are problematic. When hospital pharmacists write discharge prescriptions improvements are seen in the quality and efficiency of discharge. There is limited information on the incidence of errors in pharmacists' medication orders. Objective To investigate the extent and clinical significance of errors in pharmacist-written discharge medication orders. Setting 1000-bed teaching hospital in London, UK. Method Pharmacists in this London hospital routinely write discharge medication orders as part of the clinical pharmacy service. Convenient days, based on researcher availability, between October 2013 and January 2014 were selected. Pre-registration pharmacists reviewed all discharge medication orders written by pharmacists on these days and identified discrepancies between the medication history, inpatient chart, patient records and discharge summary. A senior clinical pharmacist confirmed the presence of an error. Each error was assigned a potential clinical significance rating (based on the NCCMERP scale) by a physician and an independent senior clinical pharmacist, working separately. Main outcome measure Incidence of errors in pharmacist-written discharge medication orders. Results 509 prescriptions, written by 51 pharmacists, containing 4258 discharge medication orders were assessed (8.4 orders per prescription). Ten prescriptions (2%), contained a total of ten erroneous orders (order error rate-0.2%). The pharmacist considered that one error had the potential to cause temporary harm (0.02% of all orders). The physician did not rate any of the errors with the potential to cause harm. Conclusion The incidence of errors in pharmacists' discharge medication orders was low. The quality, safety and policy implications of pharmacists routinely writing discharge medication orders should be further explored.

  16. Database Design to Ensure Anonymous Study of Medical Errors: A Report from the ASIPS collaborative

    PubMed Central

    Pace, Wilson D.; Staton, Elizabeth W.; Higgins, Gregory S.; Main, Deborah S.; West, David R.; Harris, Daniel M.

    2003-01-01

    Medical error reporting systems are important information sources for designing strategies to improve the safety of health care. Applied Strategies for Improving Patient Safety (ASIPS) is a multi-institutional, practice-based research project that collects and analyzes data on primary care medical errors and develops interventions to reduce error. The voluntary ASIPS Patient Safety Reporting System captures anonymous and confidential reports of medical errors. Confidential reports, which are quickly de-identified, provide better detail than do anonymous reports; however, concerns exist about the confidentiality of those reports should the database be subject to legal discovery or other security breaches. Standard database elements, for example, serial ID numbers, date/time stamps, and backups, could enable an outsider to link an ASIPS report to a specific medical error. The authors present the design and implementation of a database and administrative system that reduce this risk, facilitate research, and maintain near anonymity of the events, practices, and clinicians. PMID:12925548

  17. Voluntary Medication Error Reporting by ED Nurses: Examining the Association With Work Environment and Social Capital.

    PubMed

    Farag, Amany; Blegen, Mary; Gedney-Lose, Amalia; Lose, Daniel; Perkhounkova, Yelena

    2017-05-01

    Medication errors are one of the most frequently occurring errors in health care settings. The complexity of the ED work environment places patients at risk for medication errors. Most hospitals rely on nurses' voluntary medication error reporting, but these errors are under-reported. The purpose of this study was to examine the relationship among work environment (nurse manager leadership style and safety climate), social capital (warmth and belonging relationships and organizational trust), and nurses' willingness to report medication errors. A cross-sectional descriptive design using a questionnaire with a convenience sample of emergency nurses was used. Data were analyzed using descriptive, correlation, Mann-Whitney U, and Kruskal-Wallis statistics. A total of 71 emergency nurses were included in the study. Emergency nurses' willingness to report errors decreased as the nurses' years of experience increased (r = -0.25, P = .03). Their willingness to report errors increased when they received more feedback about errors (r = 0.25, P = .03) and when their managers used a transactional leadership style (r = 0.28, P = .01). ED nurse managers can modify their leadership style to encourage error reporting. Timely feedback after an error report is particularly important. Engaging experienced nurses to understand error root causes could increase voluntary error reporting. Published by Elsevier Inc.

  18. [Validation of a method for notifying and monitoring medication errors in pediatrics].

    PubMed

    Guerrero-Aznar, M D; Jiménez-Mesa, E; Cotrina-Luque, J; Villalba-Moreno, A; Cumplido-Corbacho, R; Fernández-Fernández, L

    2014-12-01

    To analyze the impact of a multidisciplinary and decentralized safety committee in the pediatric management unit, and the joint implementation of a computing network application for reporting medication errors, monitoring the follow-up of the errors, and an analysis of the improvements introduced. An observational, descriptive, cross-sectional, pre-post intervention study was performed. An analysis was made of medication errors reported to the central safety committee in the twelve months prior to introduction, and those reported to the decentralized safety committee in the management unit in the nine months after implementation, using the computer application, and the strategies generated by the analysis of reported errors. Number of reported errors/10,000 days of stay, number of reported errors with harm per 10,000 days of stay, types of error, categories based on severity, stage of the process, and groups involved in the notification of medication errors. Reported medication errors increased 4.6 -fold, from 7.6 notifications of medication errors per 10,000 days of stay in the pre-intervention period to 36 in the post-intervention, rate ratio 0.21 (95% CI; 0.11-0.39) (P<.001). The medication errors with harm or requiring monitoring reported per 10,000 days of stay, was virtually unchanged from one period to the other ratio rate 0,77 (95% IC; 0,31-1,91) (P>.05). The notification of potential errors or errors without harm per 10,000 days of stay increased 17.4-fold (rate ratio 0.005., 95% CI; 0.001-0.026, P<.001). The increase in medication errors notified in the post-intervention period is a reflection of an increase in the motivation of health professionals to report errors through this new method. Copyright © 2013 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.

  19. Association of medication errors with drug classifications, clinical units, and consequence of errors: Are they related?

    PubMed

    Muroi, Maki; Shen, Jay J; Angosta, Alona

    2017-02-01

    Registered nurses (RNs) play an important role in safe medication administration and patient safety. This study examined a total of 1276 medication error (ME) incident reports made by RNs in hospital inpatient settings in the southwestern region of the United States. The most common drug class associated with MEs was cardiovascular drugs (24.7%). Among this class, anticoagulants had the most errors (11.3%). The antimicrobials was the second most common drug class associated with errors (19.1%) and vancomycin was the most common antimicrobial that caused errors in this category (6.1%). MEs occurred more frequently in the medical-surgical and intensive care units than any other hospital units. Ten percent of MEs reached the patients with harm and 11% reached the patients with increased monitoring. Understanding the contributing factors related to MEs, addressing and eliminating risk of errors across hospital units, and providing education and resources for nurses may help reduce MEs. Copyright © 2016 Elsevier Inc. All rights reserved.

  20. Impact of HIPAA's minimum necessary standard on genomic data sharing.

    PubMed

    Evans, Barbara J; Jarvik, Gail P

    2018-04-01

    This article provides a brief introduction to the Health Insurance Portability and Accountability Act of 1996 (HIPAA) Privacy Rule's minimum necessary standard, which applies to sharing of genomic data, particularly clinical data, following 2013 Privacy Rule revisions. This research used the Thomson Reuters Westlaw database and law library resources in its legal analysis of the HIPAA privacy tiers and the impact of the minimum necessary standard on genomic data sharing. We considered relevant example cases of genomic data-sharing needs. In a climate of stepped-up HIPAA enforcement, this standard is of concern to laboratories that generate, use, and share genomic information. How data-sharing activities are characterized-whether for research, public health, or clinical interpretation and medical practice support-affects how the minimum necessary standard applies and its overall impact on data access and use. There is no clear regulatory guidance on how to apply HIPAA's minimum necessary standard when considering the sharing of information in the data-rich environment of genomic testing. Laboratories that perform genomic testing should engage with policy makers to foster sound, well-informed policies and appropriate characterization of data-sharing activities to minimize adverse impacts on day-to-day workflows.

  1. Uncharted territory: measuring costs of diagnostic errors outside the medical record.

    PubMed

    Schwartz, Alan; Weiner, Saul J; Weaver, Frances; Yudkowsky, Rachel; Sharma, Gunjan; Binns-Calvey, Amy; Preyss, Ben; Jordan, Neil

    2012-11-01

    In a past study using unannounced standardised patients (USPs), substantial rates of diagnostic and treatment errors were documented among internists. Because the authors know the correct disposition of these encounters and obtained the physicians' notes, they can identify necessary treatment that was not provided and unnecessary treatment. They can also discern which errors can be identified exclusively from a review of the medical records. To estimate the avoidable direct costs incurred by physicians making errors in our previous study. In the study, USPs visited 111 internal medicine attending physicians. They presented variants of four previously validated cases that jointly manipulate the presence or absence of contextual and biomedical factors that could lead to errors in management if overlooked. For example, in a patient with worsening asthma symptoms, a complicating biomedical factor was the presence of reflux disease and a complicating contextual factor was inability to afford the currently prescribed inhaler. Costs of missed or unnecessary services were computed using Medicare cost-based reimbursement data. Fourteen practice locations, including two academic clinics, two community-based primary care networks with multiple sites, a core safety net provider, and three Veteran Administration government facilities. Contribution of errors to costs of care. Overall, errors in care resulted in predicted costs of approximately $174,000 across 399 visits, of which only $8745 was discernible from a review of the medical records alone (without knowledge of the correct diagnoses). The median cost of error per visit with an incorrect care plan differed by case and by presentation variant within case. Chart reviews alone underestimate costs of care because they typically reflect appropriate treatment decisions conditional on (potentially erroneous) diagnoses. Important information about patient context is often entirely missing from medical records. Experimental

  2. Nurses' attitudes and perceived barriers to the reporting of medication administration errors.

    PubMed

    Yung, Hai-Peng; Yu, Shu; Chu, Chi; Hou, I-Ching; Tang, Fu-In

    2016-07-01

    (1) To explore the attitudes and perceived barriers to reporting medication administration errors and (2) to understand the characteristics of - and nurses' feelings - about error reports. Under-reporting of medication administration errors is a global concern related to the safety of patient care. Understanding nurses' attitudes and perceived barriers to error reporting is the initial step to increasing the reporting rate. A cross-sectional, descriptive survey with a self-administered questionnaire was completed by the nurses of a medical centre hospital in Taiwan. A total of 306 nurses participated in the study. Nurses' attitudes towards medication administration error reporting were inclined towards positive. The major perceived barrier was fear of the consequences after reporting. The results demonstrated that 88.9% of medication administration errors were reported orally, whereas 19.0% were reported through the hospital internet system. Self-recrimination was the common feeling of nurses after the commission of an medication administration error. Even if hospital management encourages errors to be reported without recrimination, nurses' attitudes toward medication administration error reporting are not very positive and fear is the most prominent barrier contributing to underreporting. Nursing managers should establish anonymous reporting systems and counselling classes to create a secure atmosphere to reduce nurses' fear and provide incentives to encourage reporting. © 2016 John Wiley & Sons Ltd.

  3. A prospective three-step intervention study to prevent medication errors in drug handling in paediatric care.

    PubMed

    Niemann, Dorothee; Bertsche, Astrid; Meyrath, David; Koepf, Ellen D; Traiser, Carolin; Seebald, Katja; Schmitt, Claus P; Hoffmann, Georg F; Haefeli, Walter E; Bertsche, Thilo

    2015-01-01

    To prevent medication errors in drug handling in a paediatric ward. One in five preventable adverse drug events in hospitalised children is caused by medication errors. Errors in drug prescription have been studied frequently, but data regarding drug handling, including drug preparation and administration, are scarce. A three-step intervention study including monitoring procedure was used to detect and prevent medication errors in drug handling. After approval by the ethics committee, pharmacists monitored drug handling by nurses on an 18-bed paediatric ward in a university hospital prior to and following each intervention step. They also conducted a questionnaire survey aimed at identifying knowledge deficits. Each intervention step targeted different causes of errors. The handout mainly addressed knowledge deficits, the training course addressed errors caused by rule violations and slips, and the reference book addressed knowledge-, memory- and rule-based errors. The number of patients who were subjected to at least one medication error in drug handling decreased from 38/43 (88%) to 25/51 (49%) following the third intervention, and the overall frequency of errors decreased from 527 errors in 581 processes (91%) to 116/441 (26%). The issue of the handout reduced medication errors caused by knowledge deficits regarding, for instance, the correct 'volume of solvent for IV drugs' from 49-25%. Paediatric drug handling is prone to errors. A three-step intervention effectively decreased the high frequency of medication errors by addressing the diversity of their causes. Worldwide, nurses are in charge of drug handling, which constitutes an error-prone but often-neglected step in drug therapy. Detection and prevention of errors in daily routine is necessary for a safe and effective drug therapy. Our three-step intervention reduced errors and is suitable to be tested in other wards and settings. © 2014 John Wiley & Sons Ltd.

  4. Risk Factors for Increased Severity of Paediatric Medication Administration Errors

    PubMed Central

    Sears, Kim; Goodman, William M.

    2012-01-01

    Patients' risks from medication errors are widely acknowledged. Yet not all errors, if they occur, have the same risks for severe consequences. Facing resource constraints, policy makers could prioritize factors having the greatest severe–outcome risks. This study assists such prioritization by identifying work-related risk factors most clearly associated with more severe consequences. Data from three Canadian paediatric centres were collected, without identifiers, on actual or potential errors that occurred. Three hundred seventy-two errors were reported, with outcome severities ranging from time delays up to fatalities. Four factors correlated significantly with increased risk for more severe outcomes: insufficient training; overtime; precepting a student; and off-service patient. Factors' impacts on severity also vary with error class: for wrong-time errors, the factors precepting a student or working overtime significantly increase severe-outcomes risk. For other types, caring for an off-service patient has greatest severity risk. To expand such research, better standardization is needed for categorizing outcome severities. PMID:23968607

  5. Improving data sharing in research with context-free encoded missing data.

    PubMed

    Hoevenaar-Blom, Marieke P; Guillemont, Juliette; Ngandu, Tiia; Beishuizen, Cathrien R L; Coley, Nicola; Moll van Charante, Eric P; Andrieu, Sandrine; Kivipelto, Miia; Soininen, Hilkka; Brayne, Carol; Meiller, Yannick; Richard, Edo

    2017-01-01

    Lack of attention to missing data in research may result in biased results, loss of power and reduced generalizability. Registering reasons for missing values at the time of data collection, or-in the case of sharing existing data-before making data available to other teams, can save time and efforts, improve scientific value and help to prevent erroneous assumptions and biased results. To ensure that encoding of missing data is sufficient to understand the reason why data are missing, it should ideally be context-free. Therefore, 11 context-free codes of missing data were carefully designed based on three completed randomized controlled clinical trials and tested in a new randomized controlled clinical trial by an international team consisting of clinical researchers and epidemiologists with extended experience in designing and conducting trials and an Information System expert. These codes can be divided into missing due to participant and/or participation characteristics (n = 6), missing by design (n = 4), and due to a procedural error (n = 1). Broad implementation of context-free missing data encoding may enhance the possibilities of data sharing and pooling, thus allowing more powerful analyses using existing data.

  6. Being a Victim of Medical Error in Brazil: An (Un)Real Dilemma

    PubMed Central

    Mendonça, Vitor Silva; Custódio, Eda Marconi

    2016-01-01

    Medical error stems from inadequate professional conduct that is capable of producing harm to life or exacerbating the health of another, whether through act or omission. This situation has become increasingly common in Brazil and worldwide. In this study, the aim was to understand what being the victim of medical error is like and to investigate the circumstances imposed on this condition of victims in Brazil. A semi-structured interview was conducted with twelve people who had gone through situations of medical error in their lives, creating a space for narratives of their experiences and deep reflection on the phenomenon. The concept of medical error has a negative connotation, often being associated with the incompetence of a medical professional. Medical error in Brazil is demonstrated by low-quality professional performance and represents the current reality of the country because of the common lack of respect and consideration for patients. Victims often remark on their loss of identity, as their social functions have been interrupted and they do not expect to regain such. It was found, however, little assumption of error in the involved doctors’ discourses and attitudes, which felt a need to judge the medical conduct in an attempt to assert their rights. Medical error in Brazil presents a punitive character and is little discussed in medical and scientific circles. The stigma of medical error is closely connected to the value and cultural judgments of the country, making it difficult to accept, both by victims and professionals. PMID:27403461

  7. The Impact of a Patient Safety Program on Medical Error Reporting

    DTIC Science & Technology

    2005-05-01

    307 The Impact of a Patient Safety Program on Medical Error Reporting Donald R. Woolever Abstract Background: In response to the occurrence of...a sentinel event—a medical error with serious consequences—Eglin U.S. Air Force (USAF) Regional Hospital developed and implemented a patient safety...communication, teamwork, and reporting. Objective: To determine the impact of a patient safety program on patterns of medical error reporting. Methods: This

  8. Medication error reduction and the use of PDA technology.

    PubMed

    Greenfield, Sue

    2007-03-01

    The purpose of this study was to determine whether nursing medication errors could be reduced and nursing care provided more efficiently using personal digital assistant (PDA) technology. The sample for this study consisted of junior and senior undergraduate baccalaureate nursing students. By self-selection of owning a PDA or not, students were placed in the PDA (experimental) group or the textbook (control) group, provided with a case study to read, and asked to answer six questions (i.e., three medication administration calculations and three clinical decisions based on medication administration). The analysis of collected data, calculated using a t test, revealed that the PDA group answered the six questions with greater accuracy and speed than did the textbook group.

  9. Automated drug dispensing system reduces medication errors in an intensive care setting.

    PubMed

    Chapuis, Claire; Roustit, Matthieu; Bal, Gaëlle; Schwebel, Carole; Pansu, Pascal; David-Tchouda, Sandra; Foroni, Luc; Calop, Jean; Timsit, Jean-François; Allenet, Benoît; Bosson, Jean-Luc; Bedouch, Pierrick

    2010-12-01

    We aimed to assess the impact of an automated dispensing system on the incidence of medication errors related to picking, preparation, and administration of drugs in a medical intensive care unit. We also evaluated the clinical significance of such errors and user satisfaction. Preintervention and postintervention study involving a control and an intervention medical intensive care unit. Two medical intensive care units in the same department of a 2,000-bed university hospital. Adult medical intensive care patients. After a 2-month observation period, we implemented an automated dispensing system in one of the units (study unit) chosen randomly, with the other unit being the control. The overall error rate was expressed as a percentage of total opportunities for error. The severity of errors was classified according to National Coordinating Council for Medication Error Reporting and Prevention categories by an expert committee. User satisfaction was assessed through self-administered questionnaires completed by nurses. A total of 1,476 medications for 115 patients were observed. After automated dispensing system implementation, we observed a reduced percentage of total opportunities for error in the study compared to the control unit (13.5% and 18.6%, respectively; p<.05); however, no significant difference was observed before automated dispensing system implementation (20.4% and 19.3%, respectively; not significant). Before-and-after comparisons in the study unit also showed a significantly reduced percentage of total opportunities for error (20.4% and 13.5%; p<.01). An analysis of detailed opportunities for error showed a significant impact of the automated dispensing system in reducing preparation errors (p<.05). Most errors caused no harm (National Coordinating Council for Medication Error Reporting and Prevention category C). The automated dispensing system did not reduce errors causing harm. Finally, the mean for working conditions improved from 1.0±0.8 to 2

  10. MEADERS: Medication Errors and Adverse Drug Event Reporting system.

    PubMed

    Zafar, Atif

    2007-10-11

    The Agency for Healthcare Research and Quality (AHRQ) recently funded the PBRN Resource Center to develop a system for reporting ambulatory medication errors. Our goal was to develop a usable system that practices could use internally to track errors. We initially performed a comprehensive literature review of what is currently available. Then, using a combination of expert panel meetings and iterative development we designed an instrument for ambulatory medication error reporting and createad a reporting system based both in MS Access 2003 and on the web using MS ASP.NET 2.0 technologies.

  11. Assessing explicit error reporting in the narrative electronic medical record using keyword searching.

    PubMed

    Cao, Hui; Stetson, Peter; Hripcsak, George

    2003-01-01

    Many types of medical errors occur in and outside of hospitals, some of which have very serious consequences and increase cost. Identifying errors is a critical step for managing and preventing them. In this study, we assessed the explicit reporting of medical errors in the electronic record. We used five search terms "mistake," "error," "incorrect," "inadvertent," and "iatrogenic" to survey several sets of narrative reports including discharge summaries, sign-out notes, and outpatient notes from 1991 to 2000. We manually reviewed all the positive cases and identified them based on the reporting of physicians. We identified 222 explicitly reported medical errors. The positive predictive value varied with different keywords. In general, the positive predictive value for each keyword was low, ranging from 3.4 to 24.4%. Therapeutic-related errors were the most common reported errors and these reported therapeutic-related errors were mainly medication errors. Keyword searches combined with manual review indicated some medical errors that were reported in medical records. It had a low sensitivity and a moderate positive predictive value, which varied by search term. Physicians were most likely to record errors in the Hospital Course and History of Present Illness sections of discharge summaries. The reported errors in medical records covered a broad range and were related to several types of care providers as well as non-health care professionals.

  12. Shared medical appointments save money for capitated groups.

    PubMed

    2003-02-01

    Shared medical appointments aren't money-makers for Palo Alto Medical Foundation, but they do cut expenses, improve patient healing and free up physician schedules. The group nature of the encounters also encourages patients to follow medical orders. Find out more.

  13. How Trainees Would Disclose Medical Errors: Educational Implications for Training Programs

    PubMed Central

    White, Andrew A.; Bell, Sigall K.; Krauss, Melissa J; Garbutt, Jane; Dunagan, W. Claiborne; Fraser, Victoria J.; Levinson, Wendy; Larson, Eric B.; Gallagher, Thomas H.

    2012-01-01

    Background Disclosing harmful errors to patients is recommended, but appears to be uncommon. Understanding how trainees disclose errors and how those practices evolve during training could help educators design programs to address this gap. Purpose To determine how trainees would disclose medical errors. Methods A survey of 758 trainees (488 students and 270 residents) in internal medicine at two academic medical centers. Surveys depicted one of two harmful error scenarios that varied by how apparent the error would be to the patient. We measured attitudes and disclosure content using scripted responses. Results Trainees reported their intent to disclose the error as “definitely” (43%) “probably” (47%) “only if asked by patient” (9%), and “definitely not” (1%). Trainees were more likely to disclose obvious errors in comparison with ones patients were unlikely to recognize (55% vs. 30%, P<0.01). Respondents varied widely in what information they would disclose. Fifty percent of trainees chose statements explicitly stating an error occurred rather than only an adverse event. Regarding apologies, trainees were split between a general expression of regret (52%) and an explicit apology (46%). Respondents at higher levels of training were less likely to use explicit apologies (Trend P<0.01). Prior disclosure training was associated with increased willingness to disclose errors (OR 1.40, P=0.03). Conclusions Trainees may not be prepared to disclose medical errors to patients, and worrisome trends in trainee apology practices were observed across levels of training. Medical educators should intensify efforts to enhance trainees’ skills at meeting patients’ expectations for open disclosure of harmful medical errors. PMID:21401685

  14. Review of medication errors that are new or likely to occur more frequently with electronic medication management systems.

    PubMed

    Van de Vreede, Melita; McGrath, Anne; de Clifford, Jan

    2018-05-14

    Objective. The aim of the present study was to identify and quantify medication errors reportedly related to electronic medication management systems (eMMS) and those considered likely to occur more frequently with eMMS. This included developing a new classification system relevant to eMMS errors. Methods. Eight Victorian hospitals with eMMS participated in a retrospective audit of reported medication incidents from their incident reporting databases between May and July 2014. Site-appointed project officers submitted deidentified incidents they deemed new or likely to occur more frequently due to eMMS, together with the Incident Severity Rating (ISR). The authors reviewed and classified incidents. Results. There were 5826 medication-related incidents reported. In total, 93 (47 prescribing errors, 46 administration errors) were identified as new or potentially related to eMMS. Only one ISR2 (moderate) and no ISR1 (severe or death) errors were reported, so harm to patients in this 3-month period was minimal. The most commonly reported error types were 'human factors' and 'unfamiliarity or training' (70%) and 'cross-encounter or hybrid system errors' (22%). Conclusions. Although the results suggest that the errors reported were of low severity, organisations must remain vigilant to the risk of new errors and avoid the assumption that eMMS is the panacea to all medication error issues. What is known about the topic? eMMS have been shown to reduce some types of medication errors, but it has been reported that some new medication errors have been identified and some are likely to occur more frequently with eMMS. There are few published Australian studies that have reported on medication error types that are likely to occur more frequently with eMMS in more than one organisation and that include administration and prescribing errors. What does this paper add? This paper includes a new simple classification system for eMMS that is useful and outlines the most commonly

  15. A systematic review of patient medication error on self-administering medication at home.

    PubMed

    Mira, José Joaquín; Lorenzo, Susana; Guilabert, Mercedes; Navarro, Isabel; Pérez-Jover, Virtudes

    2015-06-01

    Medication errors have been analyzed as a health professionals' responsibility (due to mistakes in prescription, preparation or dispensing). However, sometimes, patients themselves (or their caregivers) make mistakes in the administration of the medication. The epidemiology of patient medication errors (PEs) has been scarcely reviewed in spite of its impact on people, on therapeutic effectiveness and on incremental cost for the health systems. This study reviews and describes the methodological approaches and results of published studies on the frequency, causes and consequences of medication errors committed by patients at home. A review of research articles published between 1990 and 2014 was carried out using MEDLINE, Web-of-Knowledge, Scopus, Tripdatabase and Index Medicus. The frequency of PE was situated between 19 and 59%. The elderly and the preschooler population constituted a higher number of mistakes than others. The most common were: incorrect dosage, forgetting, mixing up medications, failing to recall indications and taking out-of-date or inappropriately stored drugs. The majority of these mistakes have no negative consequences. Health literacy, information and communication and complexity of use of dispensing devices were identified as causes of PEs. Apps and other new technologies offer several opportunities for improving drug safety.

  16. Liquid Medication Dosing Errors by Hispanic Parents: Role of Health Literacy and English Proficiency

    PubMed Central

    Harris, Leslie M.; Dreyer, Benard; Mendelsohn, Alan; Bailey, Stacy C.; Sanders, Lee M.; Wolf, Michael S.; Parker, Ruth M.; Patel, Deesha A.; Kim, Kwang Youn A.; Jimenez, Jessica J.; Jacobson, Kara; Smith, Michelle; Yin, H. Shonna

    2016-01-01

    Objective Hispanic parents in the US are disproportionately affected by low health literacy and limited English proficiency (LEP). We examined associations between health literacy, LEP, and liquid medication dosing errors in Hispanic parents. Methods Cross-sectional analysis of data from a multisite randomized controlled experiment to identify best practices for the labeling/dosing of pediatric liquid medications (SAFE Rx for Kids study); 3 urban pediatric clinics. Analyses were limited to Hispanic parents of children <8 years, with health literacy and LEP data (n=1126). Parents were randomized to 5 groups that varied by pairing of units of measurement on the label/dosing tool. Each parent measured 9 doses [3 amounts (2.5,5,7.5 mL) using 3 tools (2 syringes (0.2,0.5 mL increment), 1 cup)] in random order. Dependent variable: Dosing error=>20% dose deviation. Predictor variables: health literacy (Newest Vital Sign) [limited=0–3; adequate=4–6], LEP (speaks English less than “very well”). Results 83.1% made dosing errors (mean(SD) errors/parent=2.2(1.9)). Parents with limited health literacy and LEP had the greatest odds of making a dosing error compared to parents with adequate health literacy who were English proficient (% trials with errors/parent=28.8 vs. 12.9%; AOR=2.2[1.7–2.8]). Parents with limited health literacy who were English proficient were also more likely to make errors (% trials with errors/parent=18.8%; AOR=1.4[1.1–1.9]). Conclusion Dosing errors are common among Hispanic parents; those with both LEP and limited health literacy are at particular risk. Further study is needed to examine how the redesign of medication labels and dosing tools could reduce literacy and language-associated disparities in dosing errors. PMID:28477800

  17. SHARE: system design and case studies for statistical health information release

    PubMed Central

    Gardner, James; Xiong, Li; Xiao, Yonghui; Gao, Jingjing; Post, Andrew R; Jiang, Xiaoqian; Ohno-Machado, Lucila

    2013-01-01

    Objectives We present SHARE, a new system for statistical health information release with differential privacy. We present two case studies that evaluate the software on real medical datasets and demonstrate the feasibility and utility of applying the differential privacy framework on biomedical data. Materials and Methods SHARE releases statistical information in electronic health records with differential privacy, a strong privacy framework for statistical data release. It includes a number of state-of-the-art methods for releasing multidimensional histograms and longitudinal patterns. We performed a variety of experiments on two real datasets, the surveillance, epidemiology and end results (SEER) breast cancer dataset and the Emory electronic medical record (EeMR) dataset, to demonstrate the feasibility and utility of SHARE. Results Experimental results indicate that SHARE can deal with heterogeneous data present in medical data, and that the released statistics are useful. The Kullback–Leibler divergence between the released multidimensional histograms and the original data distribution is below 0.5 and 0.01 for seven-dimensional and three-dimensional data cubes generated from the SEER dataset, respectively. The relative error for longitudinal pattern queries on the EeMR dataset varies between 0 and 0.3. While the results are promising, they also suggest that challenges remain in applying statistical data release using the differential privacy framework for higher dimensional data. Conclusions SHARE is one of the first systems to provide a mechanism for custodians to release differentially private aggregate statistics for a variety of use cases in the medical domain. This proof-of-concept system is intended to be applied to large-scale medical data warehouses. PMID:23059729

  18. Processing medical data: a systematic review

    PubMed Central

    2013-01-01

    Background Medical data recording is one of the basic clinical tools. Electronic Health Record (EHR) is important for data processing, communication, efficiency and effectiveness of patients’ information access, confidentiality, ethical and/or legal issues. Clinical record promote and support communication among service providers and hence upscale quality of healthcare. Qualities of records are reflections of the quality of care patients offered. Methods Qualitative analysis was undertaken for this systematic review. We reviewed 40 materials Published from 1999 to 2013. We searched these materials from databases including ovidMEDLINE and ovidEMBASE. Two reviewers independently screened materials on medical data recording, documentation and information processing and communication. Finally, all selected references were summarized, reconciled and compiled as one compatible document. Result Patients were dying and/or getting much suffering as the result of poor quality medical records. Electronic health record minimizes errors, saves unnecessary time, and money wasted on processing medical data. Conclusion Many countries have been complaining for incompleteness, inappropriateness and illegibility of records. Therefore creating awareness on the magnitude of the problem has paramount importance. Hence available correct patient information has lots of potential in reducing errors and support roles. PMID:24107106

  19. A review of data sharing statements in observational studies published in the BMJ: A cross-sectional study

    PubMed Central

    McDonald, Laura; Schultze, Anna; Simpson, Alex; Graham, Sophie; Wasiak, Radek; Ramagopalan, Sreeram V.

    2017-01-01

    In order to understand the current state of data sharing in observational research studies, we reviewed data sharing statements of observational studies published in a general medical journal, the British Medical Journal. We found that the majority (63%) of observational studies published between 2015 and 2017 included a statement that implied that data used in the study could not be shared. If the findings of our exploratory study are confirmed, room for improvement in the sharing of real-world or observational research data exists. PMID:29167735

  20. Investigating the Causes of Medication Errors and Strategies to Prevention of Them from Nurses and Nursing Student Viewpoint

    PubMed Central

    Gorgich, Enam Alhagh Charkhat; Barfroshan, Sanam; Ghoreishi, Gholamreza; Yaghoobi, Maryam

    2016-01-01

    Introduction and Aim: Medication errors as a serious problem in world and one of the most common medical errors that threaten patient safety and may lead to even death of them. The purpose of this study was to investigate the causes of medication errors and strategies to prevention of them from nurses and nursing student viewpoint. Materials & Methods: This cross-sectional descriptive study was conducted on 327 nursing staff of khatam-al-anbia hospital and 62 intern nursing students in nursing and midwifery school of Zahedan, Iran, enrolled through the availability sampling in 2015. The data were collected by the valid and reliable questionnaire. To analyze the data, descriptive statistics, T-test and ANOVA were applied by use of SPSS16 software. Findings: The results showed that the most common causes of medications errors in nursing were tiredness due increased workload (97.8%), and in nursing students were drug calculation, (77.4%). The most important way for prevention in nurses and nursing student opinion, was reducing the work pressure by increasing the personnel, proportional to the number and condition of patients and also creating a unit as medication calculation. Also there was a significant relationship between the type of ward and the mean of medication errors in two groups. Conclusion: Based on the results it is recommended that nurse-managers resolve the human resources problem, provide workshops and in-service education about preparing medications, side-effects of drugs and pharmacological knowledge. Using electronic medications cards is a measure which reduces medications errors. PMID:27045413

  1. Sharing all types of clinical data and harmonizing journal standards.

    PubMed

    Barbui, Corrado

    2016-04-03

    Despite recent efforts to enforce policies requiring the sharing of data underlying clinical findings, current policies of biomedical journals remain largely heterogeneous. As this heterogeneity does not optimally serve the cause of data sharing, a first step towards better harmonization would be the requirement of a data sharing statement for all clinical studies and not simply for randomized studies. Although the publication of a data sharing statement does not imply that all data is made readily available, such a policy would swiftly implement a cultural change in the definition of scientific outputs. Currently, a scientific output only corresponds to a study report published in a medical journal, while in the near future it might consist of all materials described in the manuscript, including all relevant raw data. When such a cultural shift has been achieved, the logical conclusion would be for biomedical journals to require authors to make all data fully available without restriction as a condition for publication.

  2. Frequency of pediatric medication administration errors and contributing factors.

    PubMed

    Ozkan, Suzan; Kocaman, Gulseren; Ozturk, Candan; Seren, Seyda

    2011-01-01

    This study examined the frequency of pediatric medication administration errors and contributing factors. This research used the undisguised observation method and Critical Incident Technique. Errors and contributing factors were classified through the Organizational Accident Model. Errors were made in 36.5% of the 2344 doses that were observed. The most frequent errors were those associated with administration at the wrong time. According to the results of this study, errors arise from problems within the system.

  3. Quantifying the burden of opioid medication errors in adult oncology and palliative care settings: A systematic review.

    PubMed

    Heneka, Nicole; Shaw, Tim; Rowett, Debra; Phillips, Jane L

    2016-06-01

    Opioids are the primary pharmacological treatment for cancer pain and, in the palliative care setting, are routinely used to manage symptoms at the end of life. Opioids are one of the most frequently reported drug classes in medication errors causing patient harm. Despite their widespread use, little is known about the incidence and impact of opioid medication errors in oncology and palliative care settings. To determine the incidence, types and impact of reported opioid medication errors in adult oncology and palliative care patient settings. A systematic review. Five electronic databases and the grey literature were searched from 1980 to August 2014. Empirical studies published in English, reporting data on opioid medication error incidence, types or patient impact, within adult oncology and/or palliative care services, were included. Popay's narrative synthesis approach was used to analyse data. Five empirical studies were included in this review. Opioid error incidence rate was difficult to ascertain as each study focussed on a single narrow area of error. The predominant error type related to deviation from opioid prescribing guidelines, such as incorrect dosing intervals. None of the included studies reported the degree of patient harm resulting from opioid errors. This review has highlighted the paucity of the literature examining opioid error incidence, types and patient impact in adult oncology and palliative care settings. Defining, identifying and quantifying error reporting practices for these populations should be an essential component of future oncology and palliative care quality and safety initiatives. © The Author(s) 2015.

  4. Near field communications technology and the potential to reduce medication errors through multidisciplinary application

    PubMed Central

    Pegler, Joe; Lehane, Elaine; Livingstone, Vicki; McCarthy, Nora; Sahm, Laura J.; Tabirca, Sabin; O’Driscoll, Aoife; Corrigan, Mark

    2016-01-01

    Background Patient safety requires optimal management of medications. Electronic systems are encouraged to reduce medication errors. Near field communications (NFC) is an emerging technology that may be used to develop novel medication management systems. Methods An NFC-based system was designed to facilitate prescribing, administration and review of medications commonly used on surgical wards. Final year medical, nursing, and pharmacy students were recruited to test the electronic system in a cross-over observational setting on a simulated ward. Medication errors were compared against errors recorded using a paper-based system. Results A significant difference in the commission of medication errors was seen when NFC and paper-based medication systems were compared. Paper use resulted in a mean of 4.09 errors per prescribing round while NFC prescribing resulted in a mean of 0.22 errors per simulated prescribing round (P=0.000). Likewise, medication administration errors were reduced from a mean of 2.30 per drug round with a Paper system to a mean of 0.80 errors per round using NFC (P<0.015). A mean satisfaction score of 2.30 was reported by users, (rated on seven-point scale with 1 denoting total satisfaction with system use and 7 denoting total dissatisfaction). Conclusions An NFC based medication system may be used to effectively reduce medication errors in a simulated ward environment. PMID:28293602

  5. Near field communications technology and the potential to reduce medication errors through multidisciplinary application.

    PubMed

    O'Connell, Emer; Pegler, Joe; Lehane, Elaine; Livingstone, Vicki; McCarthy, Nora; Sahm, Laura J; Tabirca, Sabin; O'Driscoll, Aoife; Corrigan, Mark

    2016-01-01

    Patient safety requires optimal management of medications. Electronic systems are encouraged to reduce medication errors. Near field communications (NFC) is an emerging technology that may be used to develop novel medication management systems. An NFC-based system was designed to facilitate prescribing, administration and review of medications commonly used on surgical wards. Final year medical, nursing, and pharmacy students were recruited to test the electronic system in a cross-over observational setting on a simulated ward. Medication errors were compared against errors recorded using a paper-based system. A significant difference in the commission of medication errors was seen when NFC and paper-based medication systems were compared. Paper use resulted in a mean of 4.09 errors per prescribing round while NFC prescribing resulted in a mean of 0.22 errors per simulated prescribing round (P=0.000). Likewise, medication administration errors were reduced from a mean of 2.30 per drug round with a Paper system to a mean of 0.80 errors per round using NFC (P<0.015). A mean satisfaction score of 2.30 was reported by users, (rated on seven-point scale with 1 denoting total satisfaction with system use and 7 denoting total dissatisfaction). An NFC based medication system may be used to effectively reduce medication errors in a simulated ward environment.

  6. Data integrity, reliability and fraud in medical research.

    PubMed

    Baerlocher, Mark Otto; O'Brien, Jeremy; Newton, Marshall; Gautam, Tina; Noble, Jason

    2010-02-01

    Data reliability in original research requires collective trust from the academic community. Standards exist to ensure data integrity, but these safeguards are applied non-uniformly so errors or even fraud may still exist in the literature. To examine the prevalence and consequences of data errors, data reliability safeguards and fraudulent data among medical academics. Corresponding authors of every fourth primary research paper published in the Journal of the American Medical Association (2001-2003), Canadian Medical Association Journal (2001-2003), British Medical Journal (1998-2000), and Lancet (1998-2000) were surveyed electronically. Questions focused on each author's personal experience with data reliability, data errors and data interpretation. Sixty-five percent (127/195) of corresponding authors responded. Ninety-four percent of respondents accepted full responsibility for the integrity of the last manuscript on which they were listed as co-author; however, 21% had discovered incorrect data after publication in previous manuscripts they had co-authored. Fraudulent data was discovered by 4% of respondents in their previous work. Four percent also noted 'smudged' data. Eighty-seven percent of respondents used data reliability safeguards in their last published manuscript, typically data review by multiple authors or double data entry. Twenty-one percent were involved in a paper that was submitted despite disagreement about the interpretation of the results, although the disagreeing author commonly withdrew from authorship. Data reliability remains a difficult issue in medical literature. A significant proportion of respondents did not use data reliability safeguards. Research fraud does exist in academia; however, it was not reported to be highly prevalent. Copyright 2009 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

  7. Medical Errors and Barriers to Reporting in Ten Hospitals in Southern Iran

    PubMed Central

    Khammarnia, Mohammad; Ravangard, Ramin; Barfar, Eshagh; Setoodehzadeh, Fatemeh

    2015-01-01

    Background: International research shows that medical errors (MEs) are a major threat to patient safety. The present study aimed to describe MEs and barriers to reporting them in Shiraz public hospitals, Iran. Methods: A cross-sectional, retrospective study was conducted in 10 Shiraz public hospitals in the south of Iran, 2013. Using the standardised checklist of Shiraz University of Medical Sciences (referred to the Clinical Governance Department and recorded documentations) and Uribe questionnaire, we gathered the data in the hospitals. Results: A total of 4379 MEs were recorded in 10 hospitals. The highest frequency (27.1%) was related to systematic errors. Besides, most of the errors had occurred in the largest hospital (54.9%), internal wards (36.3%), and morning shifts (55.0%). The results revealed a significant association between the MEs and wards and hospitals (p < 0.001). Moreover, individual and organisational factors were the barriers to reporting ME in the studied hospitals. Also, a significant correlation was observed between the ME reporting barriers and the participants’ job experiences (p < 0.001). Conclusion: The medical errors were highly frequent in the studied hospitals especially in the larger hospitals, morning shift and in the nursing practice. Moreover, individual and organisational factors were considered as the barriers to reporting MEs. PMID:28729811

  8. Impact of HIPAA’s Minimum Necessary Standard on Genomic Data Sharing

    PubMed Central

    Evans, Barbara J.; Jarvik, Gail P.

    2017-01-01

    Purpose This article provides a brief introduction to the HIPAA Privacy Rule’s minimum necessary standard, which applies to sharing of genomic data, particularly clinical data, following 2013 Privacy Rule revisions. Methods This research used the Thomson Reuters Westlaw™ database and law library resources in its legal analysis of the HIPAA privacy tiers and the impact of the minimum necessary standard on genomic data-sharing. We considered relevant example cases of genomic data-sharing needs. Results In a climate of stepped-up HIPAA enforcement, this standard is of concern to laboratories that generate, use, and share genomic information. How data-sharing activities are characterized—whether for research, public health, or clinical interpretation and medical practice support—affects how the minimum necessary standard applies and its overall impact on data access and use. Conclusion There is no clear regulatory guidance on how to apply HIPAA’s minimum necessary standard when considering the sharing of information in the data-rich environment of genomic testing. Laboratories that perform genomic testing should engage with policy-makers to foster sound, well-informed policies and appropriate characterization of data-sharing activities to minimize adverse impacts on day-to-day workflows. PMID:28914268

  9. Implementation of an audit with feedback knowledge translation intervention to promote medication error reporting in health care: a protocol.

    PubMed

    Hutchinson, Alison M; Sales, Anne E; Brotto, Vanessa; Bucknall, Tracey K

    2015-05-19

    Health professionals strive to deliver high-quality care in an inherently complex and error-prone environment. Underreporting of medical errors challenges attempts to understand causative factors and impedes efforts to implement preventive strategies. Audit with feedback is a knowledge translation strategy that has potential to modify health professionals' medical error reporting behaviour. However, evidence regarding which aspects of this complex, multi-dimensional intervention work best is lacking. The aims of the Safe Medication Audit Reporting Translation (SMART) study are to: 1. Implement and refine a reporting mechanism to feed audit data on medication errors back to nurses 2. Test the feedback reporting mechanism to determine its utility and effect 3. Identify characteristics of organisational context associated with error reporting in response to feedback A quasi-experimental design, incorporating two pairs of matched wards at an acute care hospital, is used. Randomisation occurs at the ward level; one ward from each pair is randomised to receive the intervention. A key stakeholder reference group informs the design and delivery of the feedback intervention. Nurses on the intervention wards receive the feedback intervention (feedback of analysed audit data) on a quarterly basis for 12 months. Data for the feedback intervention come from medication documentation point-prevalence audits and weekly reports on routinely collected medication error data. Weekly reports on these data are obtained for the control wards. A controlled interrupted time series analysis is used to evaluate the effect of the feedback intervention. Self-report data are also collected from nurses on all four wards at baseline and at completion of the intervention to elicit their perceptions of the work context. Additionally, following each feedback cycle, nurses on the intervention wards are invited to complete a survey to evaluate the feedback and to establish their intentions to change

  10. A continuous quality improvement project to reduce medication error in the emergency department.

    PubMed

    Lee, Sara Bc; Lee, Larry Ly; Yeung, Richard Sd; Chan, Jimmy Ts

    2013-01-01

    Medication errors are a common source of adverse healthcare incidents particularly in the emergency department (ED) that has a number of factors that make it prone to medication errors. This project aims to reduce medication errors and improve the health and economic outcomes of clinical care in Hong Kong ED. In 2009, a task group was formed to identify problems that potentially endanger medication safety and developed strategies to eliminate these problems. Responsible officers were assigned to look after seven error-prone areas. Strategies were proposed, discussed, endorsed and promulgated to eliminate the problems identified. A reduction of medication incidents (MI) from 16 to 6 was achieved before and after the improvement work. This project successfully established a concrete organizational structure to safeguard error-prone areas of medication safety in a sustainable manner.

  11. Using medication list--problem list mismatches as markers of potential error.

    PubMed Central

    Carpenter, James D.; Gorman, Paul N.

    2002-01-01

    The goal of this project was to specify and develop an algorithm that will check for drug and problem list mismatches in an electronic medical record (EMR). The algorithm is based on the premise that a patient's problem list and medication list should agree, and a mismatch may indicate medication error. Successful development of this algorithm could mean detection of some errors, such as medication orders entered into a wrong patient record, or drug therapy omissions, that are not otherwise detected via automated means. Additionally, mismatches may identify opportunities to improve problem list integrity. To assess the concept's feasibility, this study compared medications listed in a pharmacy information system with findings in an online nursing adult admission assessment, serving as a proxy for the problem list. Where drug and problem list mismatches were discovered, examination of the patient record confirmed the mismatch, and identified any potential causes. Evaluation of the algorithm in diabetes treatment indicates that it successfully detects both potential medication error and opportunities to improve problem list completeness. This algorithm, once fully developed and deployed, could prove a valuable way to improve the patient problem list, and could decrease the risk of medication error. PMID:12463796

  12. Evaluation of causes and frequency of medication errors during information technology downtime.

    PubMed

    Hanuscak, Tara L; Szeinbach, Sheryl L; Seoane-Vazquez, Enrique; Reichert, Brendan J; McCluskey, Charles F

    2009-06-15

    The causes and frequency of medication errors occurring during information technology downtime were evaluated. Individuals from a convenience sample of 78 hospitals who were directly responsible for supporting and maintaining clinical information systems (CISs) and automated dispensing systems (ADSs) were surveyed using an online tool between February 2007 and May 2007 to determine if medication errors were reported during periods of system downtime. The errors were classified using the National Coordinating Council for Medication Error Reporting and Prevention severity scoring index. The percentage of respondents reporting downtime was estimated. Of the 78 eligible hospitals, 32 respondents with CIS and ADS responsibilities completed the online survey for a response rate of 41%. For computerized prescriber order entry, patch installations and system upgrades caused an average downtime of 57% over a 12-month period. Lost interface and interface malfunction were reported for centralized and decentralized ADSs, with an average downtime response of 34% and 29%, respectively. The average downtime response was 31% for software malfunctions linked to clinical decision-support systems. Although patient harm did not result from 30 (54%) medication errors, the potential for harm was present for 9 (16%) of these errors. Medication errors occurred during CIS and ADS downtime despite the availability of backup systems and standard protocols to handle periods of system downtime. Efforts should be directed to reduce the frequency and length of down-time in order to minimize medication errors during such downtime.

  13. Error Correcting Optical Mapping Data.

    PubMed

    Mukherjee, Kingshuk; Washimkar, Darshan; Muggli, Martin D; Salmela, Leena; Boucher, Christina

    2018-05-26

    Optical mapping is a unique system that is capable of producing high-resolution, high-throughput genomic map data that gives information about the structure of a genome [21]. Recently it has been used for scaffolding contigs and assembly validation for large-scale sequencing projects, including the maize [32], goat [6], and amborella [4] genomes. However, a major impediment in the use of this data is the variety and quantity of errors in the raw optical mapping data, which are called Rmaps. The challenges associated with using Rmap data are analogous to dealing with insertions and deletions in the alignment of long reads. Moreover, they are arguably harder to tackle since the data is numerical and susceptible to inaccuracy. We develop cOMET to error correct Rmap data, which to the best of our knowledge is the only optical mapping error correction method. Our experimental results demonstrate that cOMET has high prevision and corrects 82.49% of insertion errors and 77.38% of deletion errors in Rmap data generated from the E. coli K-12 reference genome. Out of the deletion errors corrected, 98.26% are true errors. Similarly, out of the insertion errors corrected, 82.19% are true errors. It also successfully scales to large genomes, improving the quality of 78% and 99% of the Rmaps in the plum and goat genomes, respectively. Lastly, we show the utility of error correction by demonstrating how it improves the assembly of Rmap data. Error corrected Rmap data results in an assembly that is more contiguous, and covers a larger fraction of the genome.

  14. Role-modeling and medical error disclosure: a national survey of trainees.

    PubMed

    Martinez, William; Hickson, Gerald B; Miller, Bonnie M; Doukas, David J; Buckley, John D; Song, John; Sehgal, Niraj L; Deitz, Jennifer; Braddock, Clarence H; Lehmann, Lisa Soleymani

    2014-03-01

    To measure trainees' exposure to negative and positive role-modeling for responding to medical errors and to examine the association between that exposure and trainees' attitudes and behaviors regarding error disclosure. Between May 2011 and June 2012, 435 residents at two large academic medical centers and 1,187 medical students from seven U.S. medical schools received anonymous, electronic questionnaires. The questionnaire asked respondents about (1) experiences with errors, (2) training for responding to errors, (3) behaviors related to error disclosure, (4) exposure to role-modeling for responding to errors, and (5) attitudes regarding disclosure. Using multivariate regression, the authors analyzed whether frequency of exposure to negative and positive role-modeling independently predicted two primary outcomes: (1) attitudes regarding disclosure and (2) nontransparent behavior in response to a harmful error. The response rate was 55% (884/1,622). Training on how to respond to errors had the largest independent, positive effect on attitudes (standardized effect estimate, 0.32, P < .001); negative role-modeling had the largest independent, negative effect (standardized effect estimate, -0.26, P < .001). Positive role-modeling had a positive effect on attitudes (standardized effect estimate, 0.26, P < .001). Exposure to negative role-modeling was independently associated with an increased likelihood of trainees' nontransparent behavior in response to an error (OR 1.37, 95% CI 1.15-1.64; P < .001). Exposure to role-modeling predicts trainees' attitudes and behavior regarding the disclosure of harmful errors. Negative role models may be a significant impediment to disclosure among trainees.

  15. Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results

    PubMed Central

    Wicherts, Jelte M.; Bakker, Marjan; Molenaar, Dylan

    2011-01-01

    Background The widespread reluctance to share published research data is often hypothesized to be due to the authors' fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically. Methods and Findings We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance. Conclusions Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. This highlights the importance of establishing mandatory data archiving policies. PMID:22073203

  16. Self-reported medical, medication and laboratory error in eight countries: risk factors for chronically ill adults.

    PubMed

    Scobie, Andrea

    2011-04-01

    To identify risk factors associated with self-reported medical, medication and laboratory error in eight countries. The Commonwealth Fund's 2008 International Health Policy Survey of chronically ill patients in eight countries. None. A multi-country telephone survey was conducted between 3 March and 30 May 2008 with patients in Australia, Canada, France, Germany, the Netherlands, New Zealand, the UK and the USA who self-reported being chronically ill. A bivariate analysis was performed to determine significant explanatory variables of medical, medication and laboratory error (P < 0.01) for inclusion in a binary logistic regression model. The final regression model included eight risk factors for self-reported error: age 65 and under, education level of some college or less, presence of two or more chronic conditions, high prescription drug use (four+ drugs), four or more doctors seen within 2 years, a care coordination problem, poor doctor-patient communication and use of an emergency department. Risk factors with the greatest ability to predict experiencing an error encompassed issues with coordination of care and provider knowledge of a patient's medical history. The identification of these risk factors could help policymakers and organizations to proactively reduce the likelihood of error through greater examination of system- and organization-level practices.

  17. Reduced error signalling in medication-naive children with ADHD: associations with behavioural variability and post-error adaptations

    PubMed Central

    Plessen, Kerstin J.; Allen, Elena A.; Eichele, Heike; van Wageningen, Heidi; Høvik, Marie Farstad; Sørensen, Lin; Worren, Marius Kalsås; Hugdahl, Kenneth; Eichele, Tom

    2016-01-01

    Background We examined the blood-oxygen level–dependent (BOLD) activation in brain regions that signal errors and their association with intraindividual behavioural variability and adaptation to errors in children with attention-deficit/hyperactivity disorder (ADHD). Methods We acquired functional MRI data during a Flanker task in medication-naive children with ADHD and healthy controls aged 8–12 years and analyzed the data using independent component analysis. For components corresponding to performance monitoring networks, we compared activations across groups and conditions and correlated them with reaction times (RT). Additionally, we analyzed post-error adaptations in behaviour and motor component activations. Results We included 25 children with ADHD and 29 controls in our analysis. Children with ADHD displayed reduced activation to errors in cingulo-opercular regions and higher RT variability, but no differences of interference control. Larger BOLD amplitude to error trials significantly predicted reduced RT variability across all participants. Neither group showed evidence of post-error response slowing; however, post-error adaptation in motor networks was significantly reduced in children with ADHD. This adaptation was inversely related to activation of the right-lateralized ventral attention network (VAN) on error trials and to task-driven connectivity between the cingulo-opercular system and the VAN. Limitations Our study was limited by the modest sample size and imperfect matching across groups. Conclusion Our findings show a deficit in cingulo-opercular activation in children with ADHD that could relate to reduced signalling for errors. Moreover, the reduced orienting of the VAN signal may mediate deficient post-error motor adaptions. Pinpointing general performance monitoring problems to specific brain regions and operations in error processing may help to guide the targets of future treatments for ADHD. PMID:26441332

  18. After the Medication Error: Recent Nursing Graduates' Reflections on Adequacy of Education.

    PubMed

    Treiber, Linda A; Jones, Jackie H

    2018-05-01

    The purpose of this study was to better understand individual- and system-level factors surrounding making a medication error from the perspective of recent Bachelor of Science in Nursing graduates. Online survey mixed-methods items included perceptions of adequacy of preparatory nursing education, contributory variables, emotional responses, and treatment by employer following the error. Of the 168 respondents, 55% had made a medication error. Errors resulted from inexperience, rushing, technology, staffing, and patient acuity. Twenty-four percent did not report their errors. Key themes for improving education included more practice in varied clinical areas, intensive pharmacological preparation, practical instruction in functioning within the health care environment, and coping after making medication errors. Errors generally caused emotional distress in the error maker. Overall, perceived treatment after the error reflected supportive environments, where nurses were generally treated with respect, fair treatment, and understanding. Opportunities for nursing education include second victim awareness and reinforcing professional practice standards. [J Nurs Educ. 2018;57(5):275-280.]. Copyright 2018, SLACK Incorporated.

  19. Job sharing at a children's hospital: evaluation by medical staff.

    PubMed

    Valentine, J P; Martin, C J

    1996-01-13

    To evaluate job sharing for registrars at Princess Margaret Hospital for Children, Perth, by seeking responses from members of the relevant medical teams. A questionnaire was sent to all 126 medical staff within the hospital (and three managers in medical administration) asking their views on job sharing for registrars. Whether job sharing should continue, who should do it, at what stage of training, and the effects on patient care. Among the 77 respondents (60%) there was broad support for the continuation of job sharing at the hospital: only 5 of 37 consultants and 2 of 19 non-job sharing registrars rejected the idea (with a further 4 consultants uncertain). 43% Of the consultants who had worked with job sharing registrars thought continuity of care was adversely affected. The committee for physician training of the Royal Australasian College of Physicians emphasises that advanced training should be flexible, with a wide range of opportunities for individuals to plan an appropriate training programme in line with their personal goals. This study has shown that job sharing for registrars at Princess Margaret Hospital for Children allows this choice. Action on concerns over any adverse effects on patient care should resolve any persisting disquiet.

  20. Assessing explicit error reporting in the narrative electronic medical record using keyword searching.

    PubMed

    Cao, Hui; Stetson, Peter; Hripcsak, George

    2003-01-01

    In this study, we assessed the explicit reporting of medical errors in the electronic record. We looked for cases in which the provider explicitly stated that he or she or another provider had committed an error. The advantage of the technique is that it is not limited to a specific type of error. Our goals were to 1) measure the rate at which medical errors were documented in medical records, and 2) characterize the types of errors that were reported.

  1. Adverse Drug Events and Medication Errors in African Hospitals: A Systematic Review.

    PubMed

    Mekonnen, Alemayehu B; Alhawassi, Tariq M; McLachlan, Andrew J; Brien, Jo-Anne E

    2018-03-01

    Medication errors and adverse drug events are universal problems contributing to patient harm but the magnitude of these problems in Africa remains unclear. The objective of this study was to systematically investigate the literature on the extent of medication errors and adverse drug events, and the factors contributing to medication errors in African hospitals. We searched PubMed, MEDLINE, EMBASE, Web of Science and Global Health databases from inception to 31 August, 2017 and hand searched the reference lists of included studies. Original research studies of any design published in English that investigated adverse drug events and/or medication errors in any patient population in the hospital setting in Africa were included. Descriptive statistics including median and interquartile range were presented. Fifty-one studies were included; of these, 33 focused on medication errors, 15 on adverse drug events, and three studies focused on medication errors and adverse drug events. These studies were conducted in nine (of the 54) African countries. In any patient population, the median (interquartile range) percentage of patients reported to have experienced any suspected adverse drug event at hospital admission was 8.4% (4.5-20.1%), while adverse drug events causing admission were reported in 2.8% (0.7-6.4%) of patients but it was reported that a median of 43.5% (20.0-47.0%) of the adverse drug events were deemed preventable. Similarly, the median mortality rate attributed to adverse drug events was reported to be 0.1% (interquartile range 0.0-0.3%). The most commonly reported types of medication errors were prescribing errors, occurring in a median of 57.4% (interquartile range 22.8-72.8%) of all prescriptions and a median of 15.5% (interquartile range 7.5-50.6%) of the prescriptions evaluated had dosing problems. Major contributing factors for medication errors reported in these studies were individual practitioner factors (e.g. fatigue and inadequate knowledge

  2. A comparison of medication administration errors from original medication packaging and multi-compartment compliance aids in care homes: A prospective observational study.

    PubMed

    Gilmartin-Thomas, Julia Fiona-Maree; Smith, Felicity; Wolfe, Rory; Jani, Yogini

    2017-07-01

    No published study has been specifically designed to compare medication administration errors between original medication packaging and multi-compartment compliance aids in care homes, using direct observation. Compare the effect of original medication packaging and multi-compartment compliance aids on medication administration accuracy. Prospective observational. Ten Greater London care homes. Nurses and carers administering medications. Between October 2014 and June 2015, a pharmacist researcher directly observed solid, orally administered medications in tablet or capsule form at ten purposively sampled care homes (five only used original medication packaging and five used both multi-compartment compliance aids and original medication packaging). The medication administration error rate was calculated as the number of observed doses administered (or omitted) in error according to medication administration records, compared to the opportunities for error (total number of observed doses plus omitted doses). Over 108.4h, 41 different staff (35 nurses, 6 carers) were observed to administer medications to 823 residents during 90 medication administration rounds. A total of 2452 medication doses were observed (1385 from original medication packaging, 1067 from multi-compartment compliance aids). One hundred and seventy eight medication administration errors were identified from 2493 opportunities for error (7.1% overall medication administration error rate). A greater medication administration error rate was seen for original medication packaging than multi-compartment compliance aids (9.3% and 3.1% respectively, risk ratio (RR)=3.9, 95% confidence interval (CI) 2.4 to 6.1, p<0.001). Similar differences existed when comparing medication administration error rates between original medication packaging (from original medication packaging-only care homes) and multi-compartment compliance aids (RR=2.3, 95%CI 1.1 to 4.9, p=0.03), and between original medication packaging

  3. Prospective and retrospective memory are differentially related to self-rated omission and commission errors in medication adherence in multimorbidity.

    PubMed

    Ihle, Andreas; Inauen, Jennifer; Scholz, Urte; König, Claudia; Holzer, Barbara; Zimmerli, Lukas; Battegay, Edouard; Tobias, Robert; Kliegel, Matthias

    2017-01-01

    We investigated the relations of self-rated omission errors (i.e., forgetting to take one's medication) and commission errors (i.e., unnecessary repetitions of medication intake because of forgetting that it has already been taken) in medication adherence in multimorbidity to prospective and retrospective memory performance. Moreover, we examined whether these relations were moderated by the number of medications that had to be taken. Eighty-four patients with multimorbidity (aged 28-84 years, M = 62.4) reported medication adherence regarding the last seven days and the number of medications they had to take. In addition, we administered psychometric tests on prospective memory (PM) and retrospective memory performance. We found that reported omission errors in medication adherence were related significantly to lower PM performance. This relationship was increased in individuals with a lower number of medications. In comparison, reported commission errors in medication adherence were related significantly to lower retrospective memory performance. This relationship was increased in individuals with a larger number of medications. Present data suggest that omission errors in medication adherence in multimorbidity may reflect primarily PM errors, particularly if few medications have to be taken, while commission errors may reflect mainly retrospective memory failures, especially with a large number of medications that need to be taken as prescribed. From an applied neuropsychological perspective, these results underline the importance of trying to enhance PM and retrospective memory performance in patients with multimorbidity.

  4. The underreporting of medication errors: A retrospective and comparative root cause analysis in an acute mental health unit over a 3-year period.

    PubMed

    Morrison, Maeve; Cope, Vicki; Murray, Melanie

    2018-05-15

    Medication errors remain a commonly reported clinical incident in health care as highlighted by the World Health Organization's focus to reduce medication-related harm. This retrospective quantitative analysis examined medication errors reported by staff using an electronic Clinical Incident Management System (CIMS) during a 3-year period from April 2014 to April 2017 at a metropolitan mental health ward in Western Australia. The aim of the project was to identify types of medication errors and the context in which they occur and to consider recourse so that medication errors can be reduced. Data were retrieved from the Clinical Incident Management System database and concerned medication incidents from categorized tiers within the system. Areas requiring improvement were identified, and the quality of the documented data captured in the database was reviewed for themes pertaining to medication errors. Content analysis provided insight into the following issues: (i) frequency of problem, (ii) when the problem was detected, and (iii) characteristics of the error (classification of drug/s, where the error occurred, what time the error occurred, what day of the week it occurred, and patient outcome). Data were compared to the state-wide results published in the Your Safety in Our Hands (2016) report. Results indicated several areas upon which quality improvement activities could be focused. These include the following: structural changes; changes to policy and practice; changes to individual responsibilities; improving workplace culture to counteract underreporting of medication errors; and improvement in safety and quality administration of medications within a mental health setting. © 2018 Australian College of Mental Health Nurses Inc.

  5. Data sharing in neuroimaging research

    PubMed Central

    Poline, Jean-Baptiste; Breeze, Janis L.; Ghosh, Satrajit; Gorgolewski, Krzysztof; Halchenko, Yaroslav O.; Hanke, Michael; Haselgrove, Christian; Helmer, Karl G.; Keator, David B.; Marcus, Daniel S.; Poldrack, Russell A.; Schwartz, Yannick; Ashburner, John; Kennedy, David N.

    2012-01-01

    Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work should have profound impact on research in cognitive neuroscience and psychiatry, leading to advances in the diagnosis and treatment of psychiatric and neurological disease. A trend toward increased sharing of neuroimaging data has emerged in recent years. Nevertheless, a number of barriers continue to impede momentum. Many researchers and institutions remain uncertain about how to share data or lack the tools and expertise to participate in data sharing. The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing. We review here the motivations for sharing neuroimaging data, the current data sharing landscape, and the sociological or technical barriers that still need to be addressed. The INCF Task Force on Neuroimaging Datasharing, in conjunction with several collaborative groups around the world, has started work on several tools to ease and eventually automate the practice of data sharing. It is hoped that such tools will allow researchers to easily share raw, processed, and derived neuroimaging data, with appropriate metadata and provenance records, and will improve the reproducibility of neuroimaging studies. By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging. PMID:22493576

  6. System review: a method for investigating medical errors in healthcare settings.

    PubMed

    Alexander, G L; Stone, T T

    2000-01-01

    System analysis is a process of evaluating objectives, resources, structure, and design of businesses. System analysis can be used by leaders to collaboratively identify breakthrough opportunities to improve system processes. In healthcare systems, system analysis can be used to review medical errors (system occurrences) that may place patients at risk for injury, disability, and/or death. This study utilizes a case management approach to identify medical errors. Utilizing an interdisciplinary approach, a System Review Team was developed to identify trends in system occurrences, facilitate communication, and enhance the quality of patient care by reducing medical errors.

  7. Impact of Stewardship Interventions on Antiretroviral Medication Errors in an Urban Medical Center: A 3-Year, Multiphase Study.

    PubMed

    Zucker, Jason; Mittal, Jaimie; Jen, Shin-Pung; Cheng, Lucy; Cennimo, David

    2016-03-01

    There is a high prevalence of HIV infection in Newark, New Jersey, with University Hospital admitting approximately 600 HIV-infected patients per year. Medication errors involving antiretroviral therapy (ART) could significantly affect treatment outcomes. The goal of this study was to evaluate the effectiveness of various stewardship interventions in reducing the prevalence of prescribing errors involving ART. This was a retrospective review of all inpatients receiving ART for HIV treatment during three distinct 6-month intervals over a 3-year period. During the first year, the baseline prevalence of medication errors was determined. During the second year, physician and pharmacist education was provided, and a computerized order entry system with drug information resources and prescribing recommendations was implemented. Prospective audit of ART orders with feedback was conducted in the third year. Analyses and comparisons were made across the three phases of this study. Of the 334 patients with HIV admitted in the first year, 45% had at least one antiretroviral medication error and 38% had uncorrected errors at the time of discharge. After education and computerized order entry, significant reductions in medication error rates were observed compared to baseline rates; 36% of 315 admissions had at least one error and 31% had uncorrected errors at discharge. While the prevalence of antiretroviral errors in year 3 was similar to that of year 2 (37% of 276 admissions), there was a significant decrease in the prevalence of uncorrected errors at discharge (12%) with the use of prospective review and intervention. Interventions, such as education and guideline development, can aid in reducing ART medication errors, but a committed stewardship program is necessary to elicit the greatest impact. © 2016 Pharmacotherapy Publications, Inc.

  8. Suffering in Silence: Medical Error and its Impact on Health Care Providers.

    PubMed

    Robertson, Jennifer J; Long, Brit

    2018-04-01

    All humans are fallible. Because physicians are human, unintentional errors unfortunately occur. While unintentional medical errors have an impact on patients and their families, they may also contribute to adverse mental and emotional effects on the involved provider(s). These may include burnout, lack of concentration, poor work performance, posttraumatic stress disorder, depression, and even suicidality. The objectives of this article are to 1) discuss the impact medical error has on involved provider(s), 2) provide potential reasons why medical error can have a negative impact on provider mental health, and 3) suggest solutions for providers and health care organizations to recognize and mitigate the adverse effects medical error has on providers. Physicians and other providers may feel a variety of adverse emotions after medical error, including guilt, shame, anxiety, fear, and depression. It is thought that the pervasive culture of perfectionism and individual blame in medicine plays a considerable role toward these negative effects. In addition, studies have found that despite physicians' desire for support after medical error, many physicians feel a lack of personal and administrative support. This may further contribute to poor emotional well-being. Potential solutions in the literature are proposed, including provider counseling, learning from mistakes without fear of punishment, discussing mistakes with others, focusing on the system versus the individual, and emphasizing provider wellness. Much of the reviewed literature is limited in terms of an emergency medicine focus or even regarding physicians in general. In addition, most studies are survey- or interview-based, which limits objectivity. While additional, more objective research is needed in terms of mitigating the effects of error on physicians, this review may help provide insight and support for those who feel alone in their attempt to heal after being involved in an adverse medical event

  9. Impact of a reengineered electronic error-reporting system on medication event reporting and care process improvements at an urban medical center.

    PubMed

    McKaig, Donald; Collins, Christine; Elsaid, Khaled A

    2014-09-01

    A study was conducted to evaluate the impact of a reengineered approach to electronic error reporting at a 719-bed multidisciplinary urban medical center. The main outcome of interest was the monthly reported medication errors during the preimplementation (20 months) and postimplementation (26 months) phases. An interrupted time series analysis was used to describe baseline errors, immediate change following implementation of the current electronic error-reporting system (e-ERS), and trend of error reporting during postimplementation. Errors were categorized according to severity using the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) Medication Error Index classifications. Reported errors were further analyzed by reporter and error site. During preimplementation, the monthly reported errors mean was 40.0 (95% confidence interval [CI]: 36.3-43.7). Immediately following e-ERS implementation, monthly reported errors significantly increased by 19.4 errors (95% CI: 8.4-30.5). The change in slope of reported errors trend was estimated at 0.76 (95% CI: 0.07-1.22). Near misses and no-patient-harm errors accounted for 90% of all errors, while errors that caused increased patient monitoring or temporary harm accounted for 9% and 1%, respectively. Nurses were the most frequent reporters, while physicians were more likely to report high-severity errors. Medical care units accounted for approximately half of all reported errors. Following the intervention, there was a significant increase in reporting of prevented errors and errors that reached the patient with no resultant harm. This improvement in reporting was sustained for 26 months and has contributed to designing and implementing quality improvement initiatives to enhance the safety of the medication use process.

  10. The pattern of the discovery of medication errors in a tertiary hospital in Hong Kong.

    PubMed

    Samaranayake, N R; Cheung, S T D; Chui, W C M; Cheung, B M Y

    2013-06-01

    The primary goal of reducing medication errors is to eliminate those that reach the patient. We aimed to study the pattern of interceptions to tackle medication errors along the medication use processes. Tertiary care hospital in Hong Kong. The 'Swiss Cheese Model' was used to explain the interceptions targeting medication error reporting over 5 years (2006-2010). Proportions of prescribing, dispensing and drug administration errors intercepted by pharmacists and nurses; proportions of prescribing, dispensing and drug administration errors that reached the patient. Our analysis included 1,268 in-patient medication errors, of which 53.4% were related to prescribing, 29.0% to administration and 17.6% to dispensing. 34.1% of all medication errors (4.9% prescribing, 26.8% drug administration and 2.4% dispensing) were not intercepted. Pharmacy staff intercepted 85.4% of the prescribing errors. Nurses detected 83.0% of dispensing and 5.0% of prescribing errors. However, 92.4% of all drug administration errors reached the patient. Having a preventive measure at each stage of the medication use process helps to prevent most errors. Most drug administration errors reach the patient as there is no defense against these. Therefore, more interventions to prevent drug administration errors are warranted.

  11. Effects of a direct refill program for automated dispensing cabinets on medication-refill errors.

    PubMed

    Helmons, Pieter J; Dalton, Ashley J; Daniels, Charles E

    2012-10-01

    The effects of a direct refill program for automated dispensing cabinets (ADCs) on medication-refill errors were studied. This study was conducted in designated acute care areas of a 386-bed academic medical center. A wholesaler-to-ADC direct refill program, consisting of prepackaged delivery of medications and bar-code-assisted ADC refilling, was implemented in the inpatient pharmacy of the medical center in September 2009. Medication-refill errors in 26 ADCs from the general medicine units, the infant special care unit, the surgical and burn intensive care units, and intermediate units were assessed before and after the implementation of this program. Medication-refill errors were defined as an ADC pocket containing the wrong drug, wrong strength, or wrong dosage form. ADC refill errors decreased by 77%, from 62 errors per 6829 refilled pockets (0.91%) to 8 errors per 3855 refilled pockets (0.21%) (p < 0.0001). The predominant error type detected before the intervention was the incorrect medication (wrong drug, wrong strength, or wrong dosage form) in the ADC pocket. Of the 54 incorrect medications found before the intervention, 38 (70%) were loaded in a multiple-drug drawer. After the implementation of the new refill process, 3 of the 5 incorrect medications were loaded in a multiple-drug drawer. There were 3 instances of expired medications before and only 1 expired medication after implementation of the program. A redesign of the ADC refill process using a wholesaler-to-ADC direct refill program that included delivery of prepackaged medication and bar-code-assisted refill significantly decreased the occurrence of ADC refill errors.

  12. Factors associated with reporting of medication errors by Israeli nurses.

    PubMed

    Kagan, Ilya; Barnoy, Sivia

    2008-01-01

    This study investigated medication error reporting among Israeli nurses, the relationship between nurses' personal views about error reporting, and the impact of the safety culture of the ward and hospital on this reporting. Nurses (n = 201) completed a questionnaire related to different aspects of error reporting (frequency, organizational norms of dealing with errors, and personal views on reporting). The higher the error frequency, the more errors went unreported. If the ward nurse manager corrected errors on the ward, error self-reporting decreased significantly. Ward nurse managers have to provide good role models.

  13. Medication errors in the emergency department: a systems approach to minimizing risk.

    PubMed

    Peth, Howard A

    2003-02-01

    Adverse drug events caused by medication errors represent a common cause of patient injury in the practice of medicine. Many medication errors are preventable and hence particularly tragic when they occur, often with serious consequences. The enormous increase in the number of available drugs on the market makes it all but impossible for physicians, nurses, and pharmacists to possess the knowledge base necessary for fail-safe medication practice. Indeed, the greatest single systemic factor associated with medication errors is a deficiency in the knowledge requisite to the safe use of drugs. It is vital that physicians, nurses, and pharmacists have at their immediate disposal up-to-date drug references. Patients presenting for care in EDs are usually unfamiliar to their EPs and nurses, and the unique patient factors affecting medication response and toxicity are obscured. An appropriate history, physical examination, and diagnostic workup will assist EPs, nurses, and pharmacists in selecting the safest and most optimum therapeutic regimen for each patient. EDs deliver care "24/7" and are open when valuable information resources, such as hospital pharmacists and previously treating physicians, may not be available for consultation. A systems approach to the complex problem of medication errors will help emergency clinicians eliminate preventable adverse drug events and achieve a goal of a zero-defects system, in which medication errors are a thing of the past. New developments in information technology and the advent of electronic medical records with computerized physician order entry, ward-based clinical pharmacists, and standardized bar codes promise substantial reductions in the incidence of medication errors and adverse drug events. ED patients expect and deserve nothing less than the safest possible emergency medicine service.

  14. A Cycle of Redemption in a Medical Error Disclosure and Apology Program.

    PubMed

    Carmack, Heather J

    2014-06-01

    Physicians accept that they have an ethical responsibility to disclose and apologize for medical errors; however, when physicians make a medical error, they are often not given the opportunity to disclose and apologize for the mistake. In this article, I explore how one hospital negotiated the aftermath of medical mistakes through a disclosure and apology program. Specifically, I used Burke's cycle of redemption to position the hospital's disclosure and apology program as a redemption process and explore how the hospital physicians and administrators worked through the experiences of disclosing and apologizing for medical errors. © The Author(s) 2014.

  15. Medication errors in the obstetrics emergency ward in a low resource setting.

    PubMed

    Kandil, Mohamed; Sayyed, Tarek; Emarh, Mohamed; Ellakwa, Hamed; Masood, Alaa

    2012-08-01

    To investigate the patterns of medication errors in the obstetric emergency ward in a low resource setting. This prospective observational study included 10,000 women who presented at the obstetric emergency ward, department of Obstetrics and Gynecology, Menofyia University Hospital, Egypt between March and December 2010. All medications prescribed in the emergency ward were monitored for different types of errors. The head nurse in each shift was asked to monitor each pharmacologic order from the moment of prescribing till its administration. Retrospective review of the patients' charts and nurses' notes was carried out by the authors of this paper. Results were tabulated and statistically analyzed. A total of 1976 medication errors were detected. Administration errors were the commonest error reported. Omitted errors ranked second followed by unauthorized and prescription errors. Three administration errors resulted in three Cesareans were performed for fetal distress because of wrong doses of oxytocin infusion. The rest of errors did not cause patients harm but may have lead to an increase in monitoring. Most errors occurred during night shifts. The availability of automated infusion pumps will probably decrease administration errors significantly. There is a need for more obstetricians and nurses during the nightshifts to minimize errors resulting from working under stressful conditions.

  16. Reducing medication errors and increasing patient safety: case studies in clinical pharmacology.

    PubMed

    Benjamin, David M

    2003-07-01

    Today, reducing medication errors and improving patient safety have become common topics of discussion for the president of the United States, federal and state legislators, the insurance industry, pharmaceutical companies, health care professionals, and patients. But this is not news to clinical pharmacologists. Improving the judicious use of medications and minimizing adverse drug reactions have always been key areas of research and study for those working in clinical pharmacology. However, added to the older terms of adverse drug reactions and rational therapeutics, the now politically correct expression of medication error has emerged. Focusing on the word error has drawn attention to "prevention" and what can be done to minimize mistakes and improve patient safety. Webster's New Collegiate Dictionary has several definitions of error, but the one that seems to be most appropriate in the context of medication errors is "an act that through ingnorance, deficiency, or accident departs from or fails to achieve what should be done." What should be done is generally known as "the five rights": the right drug, right dose, right route, right time, and right patient. One can make an error of omission (failure to act correctly) or an error of commission (acted incorrectly). This article now summarizes what is currently known about medication errors and translates the information into case studies illustrating common scenarios leading to medication errors. Each case is analyzed to provide insight into how the medication error could have been prevented. "System errors" are described, and the application of failure mode effect analysis (FMEA) is presented to determine the part of the "safety net" that failed. Examples of reengineering the system to make it more "error proof" are presented. An error can be prevented. However, the practice of medicine, pharmacy, and nursing in the hospital setting is very complicated, and so many steps occur from "pen to patient" that there

  17. Patient disclosure of medical errors in paediatrics: A systematic literature review

    PubMed Central

    Koller, Donna; Rummens, Anneke; Le Pouesard, Morgane; Espin, Sherry; Friedman, Jeremy; Coffey, Maitreya; Kenneally, Noah

    2016-01-01

    Medical errors are common within paediatrics; however, little research has examined the process of disclosing medical errors in paediatric settings. The present systematic review of current research and policy initiatives examined evidence regarding the disclosure of medical errors involving paediatric patients. Peer-reviewed research from a range of scientific journals from the past 10 years is presented, and an overview of Canadian and international policies regarding disclosure in paediatric settings are provided. The purpose of the present review was to scope the existing literature and policy, and to synthesize findings into an integrated and accessible report. Future research priorities and policy implications are then identified. PMID:27429578

  18. Improving end of life care: an information systems approach to reducing medical errors.

    PubMed

    Tamang, S; Kopec, D; Shagas, G; Levy, K

    2005-01-01

    Chronic and terminally ill patients are disproportionately affected by medical errors. In addition, the elderly suffer more preventable adverse events than younger patients. Targeting system wide "error-reducing" reforms to vulnerable populations can significantly reduce the incidence and prevalence of human error in medical practice. Recent developments in health informatics, particularly the application of artificial intelligence (AI) techniques such as data mining, neural networks, and case-based reasoning (CBR), presents tremendous opportunities for mitigating error in disease diagnosis and patient management. Additionally, the ubiquity of the Internet creates the possibility of an almost ideal network for the dissemination of medical information. We explore the capacity and limitations of web-based palliative information systems (IS) to transform the delivery of care, streamline processes and improve the efficiency and appropriateness of medical treatment. As a result, medical error(s) that occur with patients dealing with severe, chronic illness and the frail elderly can be reduced.The palliative model grew out of the need for pain relief and comfort measures for patients diagnosed with cancer. Applied definitions of palliative care extend this convention, but there is no widely accepted definition. This research will discuss the development life cycle of two palliative information systems: the CONFER QOLP management information system (MIS), currently used by a community-based palliative care program in Brooklyn, New York, and the CAREN case-based reasoning prototype. CONFER is a web platform based on the idea of "eCare". CONFER uses XML (extensible mark-up language), a W3C-endorced standard mark up to define systems data. The second system, CAREN, is a CBR prototype designed for palliative care patients in the cancer trajectory. CBR is a technique, which tries to exploit the similarities of two situations and match decision-making to the best

  19. Risk managers, physicians, and disclosure of harmful medical errors.

    PubMed

    Loren, David J; Garbutt, Jane; Dunagan, W Claiborne; Bommarito, Kerry M; Ebers, Alison G; Levinson, Wendy; Waterman, Amy D; Fraser, Victoria J; Summy, Elizabeth A; Gallagher, Thomas H

    2010-03-01

    Physicians are encouraged to disclose medical errors to patients, which often requires close collaboration between physicians and risk managers. An anonymous national survey of 2,988 healthcare facility-based risk managers was conducted between November 2004 and March 2005, and results were compared with those of a previous survey (conducted between July 2003 and March 2004) of 1,311 medical physicians in Washington and Missouri. Both surveys included an error-disclosure scenario for an obvious and a less obvious error with scripted response options. More risk managers than physicians were aware that an error-reporting system was present at their hospital (81% versus 39%, p < .001) and believed that mechanisms to inform physicians about errors in their hospital were adequate (51% versus 17%, p < .001). More risk managers than physicians strongly agreed that serious errors should be disclosed to patients (70% versus 49%, p < .001). Across both error scenario, risk managers were more likely than physicians to definitely recommend that the error be disclosed (76% versus 50%, p < .001) and to provide full details about how the error would be prevented in the future (62% versus 51%, p < .001). However, physicians were more likely than risk managers to provide a full apology recognizing the harm caused by the error (39% versus 21%, p < .001). Risk managers have more favorable attitudes about disclosing errors to patients compared with physicians but are less supportive of providing a full apology. These differences may create conflicts between risk managers and physicians regarding disclosure. Health care institutions should promote greater collaboration between these two key participants in disclosure conversations.

  20. Federating heterogeneous datasets to enhance data sharing and experiment reproducibility

    NASA Astrophysics Data System (ADS)

    Prieto, Juan C.; Paniagua, Beatriz; Yatabe, Marilia S.; Ruellas, Antonio C. O.; Fattori, Liana; Muniz, Luciana; Styner, Martin; Cevidanes, Lucia

    2017-03-01

    Recent studies have demonstrated the difficulties to replicate scientific findings and/or experiments published in past.1 The effects seen in the replicated experiments were smaller than previously reported. Some of the explanations for these findings include the complexity of the experimental design and the pressure on researches to report positive findings. The International Committee of Medical Journal Editors (ICMJE) suggests that every study considered for publication must submit a plan to share the de-identified patient data no later than 6 months after publication. There is a growing demand to enhance the management of clinical data, facilitate data sharing across institutions and also to keep track of the data from previous experiments. The ultimate goal is to assure the reproducibility of experiments in the future. This paper describes Shiny-tooth, a web based application created to improve clinical data acquisition during the clinical trial; data federation of such data as well as morphological data derived from medical images; Currently, this application is being used to store clinical data from an osteoarthritis (OA) study. This work is submitted to the SPIE Biomedical Applications in Molecular, Structural, and Functional Imaging conference.

  1. Portal of medical data models: information infrastructure for medical research and healthcare.

    PubMed

    Dugas, Martin; Neuhaus, Philipp; Meidt, Alexandra; Doods, Justin; Storck, Michael; Bruland, Philipp; Varghese, Julian

    2016-01-01

    Information systems are a key success factor for medical research and healthcare. Currently, most of these systems apply heterogeneous and proprietary data models, which impede data exchange and integrated data analysis for scientific purposes. Due to the complexity of medical terminology, the overall number of medical data models is very high. At present, the vast majority of these models are not available to the scientific community. The objective of the Portal of Medical Data Models (MDM, https://medical-data-models.org) is to foster sharing of medical data models. MDM is a registered European information infrastructure. It provides a multilingual platform for exchange and discussion of data models in medicine, both for medical research and healthcare. The system is developed in collaboration with the University Library of Münster to ensure sustainability. A web front-end enables users to search, view, download and discuss data models. Eleven different export formats are available (ODM, PDF, CDA, CSV, MACRO-XML, REDCap, SQL, SPSS, ADL, R, XLSX). MDM contents were analysed with descriptive statistics. MDM contains 4387 current versions of data models (in total 10,963 versions). 2475 of these models belong to oncology trials. The most common keyword (n = 3826) is 'Clinical Trial'; most frequent diseases are breast cancer, leukemia, lung and colorectal neoplasms. Most common languages of data elements are English (n = 328,557) and German (n = 68,738). Semantic annotations (UMLS codes) are available for 108,412 data items, 2453 item groups and 35,361 code list items. Overall 335,087 UMLS codes are assigned with 21,847 unique codes. Few UMLS codes are used several thousand times, but there is a long tail of rarely used codes in the frequency distribution. Expected benefits of the MDM portal are improved and accelerated design of medical data models by sharing best practice, more standardised data models with semantic annotation and better information

  2. Report endorses data sharing

    NASA Astrophysics Data System (ADS)

    The potential benefits of sharing data so outweigh its costs that investigators should be required to include plans for sharing data as part of their grant proposals, according to recommendations issued recently by the Committee on National Statistics (CNSTAT) of the National Research Council (NRC).In their report Sharing Research Data, CNSTAT also recommended that “Journals should give more emphasis to reports of secondary analyses and to replications,” provided that the original collections of data receive full credit. In addition, “Journal editors should require authors to provide access to data during the peer review process.”

  3. Medication Review and Transitions of Care: A Case Report of a Decade-Old Medication Error.

    PubMed

    Comer, Rachel; Lizer, Mitsi

    2017-10-01

    A 69-year-old Caucasian male with a 25-year history of paranoid schizophrenia was brought to the emergency department because of violence toward the staff in his nursing facility. He was diagnosed with a urinary tract infection and was admitted to the behavioral health unit for medication stabilization. History included a five-year state psychiatric hospital admission and nursing facility placement. Because of poor cognitive function, the patient was unable to corroborate medication history, so the pharmacy student on rotation performed an in-depth chart review. The review revealed a transcription error in 2003 deleting amantadine 100 mg twice daily and adding amiodarone 100 mg twice daily. Subsequent hospitalization resulted in another transcription error increasing the amiodarone to 200 mg twice daily. All electrocardiograms conducted were negative for atrial fibrillation. Once detected, the consulted cardiologist discontinued the amiodarone, and the primary care provider was notified via letter and discharge papers. An admission four months later revealed that the nursing facility restarted the amiodarone. Amiodarone was discontinued and the facility was again notified. This case reviews how a 10-year-old medication error went undetected in the electronic medical records through numerous medication reconciliations, but was uncovered when a single comprehensive medication review was conducted.

  4. Medication administration error reporting and associated factors among nurses working at the University of Gondar referral hospital, Northwest Ethiopia, 2015.

    PubMed

    Bifftu, Berhanu Boru; Dachew, Berihun Assefa; Tiruneh, Bewket Tadesse; Beshah, Debrework Tesgera

    2016-01-01

    Medication administration is the final step/phase of medication process in which its error directly affects the patient health. Due to the central role of nurses in medication administration, whether they are the source of an error, a contributor, or an observer they have the professional, legal and ethical responsibility to recognize and report. The aim of this study was to assess the prevalence of medication administration error reporting and associated factors among nurses working at The University of Gondar Referral Hospital, Northwest Ethiopia. Institution based quantitative cross - sectional study was conducted among 282 Nurses. Data were collected using semi-structured, self-administered questionnaire of the Medication Administration Errors Reporting (MAERs). Binary logistic regression with 95 % confidence interval was used to identify factors associated with medication administration errors reporting. The estimated medication administration error reporting was found to be 29.1 %. The perceived rates of medication administration errors reporting for non-intravenous related medications were ranged from 16.8 to 28.6 % and for intravenous-related from 20.6 to 33.4 %. Education status (AOR =1.38, 95 % CI: 4.009, 11.128), disagreement over time - error definition (AOR = 0.44, 95 % CI: 0.468, 0.990), administrative reason (AOR = 0.35, 95 % CI: 0.168, 0.710) and fear (AOR = 0.39, 95 % CI: 0.257, 0.838) were factors statistically significant for the refusal of reporting medication administration errors at p-value <0.05. In this study, less than one third of the study participants reported medication administration errors. Educational status, disagreement over time - error definition, administrative reason and fear were factors statistically significant for the refusal of errors reporting at p-value <0.05. Therefore, the results of this study suggest strategies that enhance the cultures of error reporting such as providing a clear definition of

  5. Defining and classifying medical error: lessons for patient safety reporting systems.

    PubMed

    Tamuz, M; Thomas, E J; Franchois, K E

    2004-02-01

    It is important for healthcare providers to report safety related events, but little attention has been paid to how the definition and classification of events affects a hospital's ability to learn from its experience. To examine how the definition and classification of safety related events influences key organizational routines for gathering information, allocating incentives, and analyzing event reporting data. In semi-structured interviews, professional staff and administrators in a tertiary care teaching hospital and its pharmacy were asked to describe the existing programs designed to monitor medication safety, including the reporting systems. With a focus primarily on the pharmacy staff, interviews were audio recorded, transcribed, and analyzed using qualitative research methods. Eighty six interviews were conducted, including 36 in the hospital pharmacy. Examples are presented which show that: (1) the definition of an event could lead to under-reporting; (2) the classification of a medication error into alternative categories can influence the perceived incentives and disincentives for incident reporting; (3) event classification can enhance or impede organizational routines for data analysis and learning; and (4) routines that promote organizational learning within the pharmacy can reduce the flow of medication error data to the hospital. These findings from one hospital raise important practical and research questions about how reporting systems are influenced by the definition and classification of safety related events. By understanding more clearly how hospitals define and classify their experience, we may improve our capacity to learn and ultimately improve patient safety.

  6. Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine.

    PubMed

    Naudet, Florian; Sakarovitch, Charlotte; Janiaud, Perrine; Cristea, Ioana; Fanelli, Daniele; Moher, David; Ioannidis, John P A

    2018-02-13

    To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes. Survey of published RCTs. PubMed/Medline. RCTs that had been submitted and published by The BMJ and PLOS Medicine subsequent to the adoption of data sharing policies by these journals. The primary outcome was data availability, defined as the eventual receipt of complete data with clear labelling. Primary outcomes were reanalyzed to assess to what extent studies were reproduced. Difficulties encountered were described. 37 RCTs (21 from The BMJ and 16 from PLOS Medicine ) published between 2013 and 2016 met the eligibility criteria. 17/37 (46%, 95% confidence interval 30% to 62%) satisfied the definition of data availability and 14 of the 17 (82%, 59% to 94%) were fully reproduced on all their primary outcomes. Of the remaining RCTs, errors were identified in two but reached similar conclusions and one paper did not provide enough information in the Methods section to reproduce the analyses. Difficulties identified included problems in contacting corresponding authors and lack of resources on their behalf in preparing the datasets. In addition, there was a range of different data sharing practices across study groups. Data availability was not optimal in two journals with a strong policy for data sharing. When investigators shared data, most reanalyses largely reproduced the original results. Data sharing practices need to become more widespread and streamlined to allow meaningful reanalyses and reuse of data. Open Science Framework osf.io/c4zke. 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.

  7. Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine

    PubMed Central

    Naudet, Florian; Sakarovitch, Charlotte; Janiaud, Perrine; Cristea, Ioana; Fanelli, Daniele; Moher, David

    2018-01-01

    Abstract Objectives To explore the effectiveness of data sharing by randomized controlled trials (RCTs) in journals with a full data sharing policy and to describe potential difficulties encountered in the process of performing reanalyses of the primary outcomes. Design Survey of published RCTs. Setting PubMed/Medline. Eligibility criteria RCTs that had been submitted and published by The BMJ and PLOS Medicine subsequent to the adoption of data sharing policies by these journals. Main outcome measure The primary outcome was data availability, defined as the eventual receipt of complete data with clear labelling. Primary outcomes were reanalyzed to assess to what extent studies were reproduced. Difficulties encountered were described. Results 37 RCTs (21 from The BMJ and 16 from PLOS Medicine) published between 2013 and 2016 met the eligibility criteria. 17/37 (46%, 95% confidence interval 30% to 62%) satisfied the definition of data availability and 14 of the 17 (82%, 59% to 94%) were fully reproduced on all their primary outcomes. Of the remaining RCTs, errors were identified in two but reached similar conclusions and one paper did not provide enough information in the Methods section to reproduce the analyses. Difficulties identified included problems in contacting corresponding authors and lack of resources on their behalf in preparing the datasets. In addition, there was a range of different data sharing practices across study groups. Conclusions Data availability was not optimal in two journals with a strong policy for data sharing. When investigators shared data, most reanalyses largely reproduced the original results. Data sharing practices need to become more widespread and streamlined to allow meaningful reanalyses and reuse of data. Trial registration Open Science Framework osf.io/c4zke. PMID:29440066

  8. Disclosing harmful medical errors to patients: tackling three tough cases.

    PubMed

    Gallagher, Thomas H; Bell, Sigall K; Smith, Kelly M; Mello, Michelle M; McDonald, Timothy B

    2009-09-01

    A gap exists between recommendations to disclose errors to patients and current practice. This gap may reflect important, yet unanswered questions about implementing disclosure principles. We explore some of these unanswered questions by presenting three real cases that pose challenging disclosure dilemmas. The first case involves a pancreas transplant that failed due to the pancreas graft being discarded, an error that was not disclosed partly because the family did not ask clarifying questions. Relying on patient or family questions to determine the content of disclosure is problematic. We propose a standard of materiality that can help clinicians to decide what information to disclose. The second case involves a fatal diagnostic error that the patient's widower was unaware had happened. The error was not disclosed out of concern that disclosure would cause the widower more harm than good. This case highlights how institutions can overlook patients' and families' needs following errors and emphasizes that benevolent deception has little role in disclosure. Institutions should consider whether involving neutral third parties could make disclosures more patient centered. The third case presents an intraoperative cardiac arrest due to a large air embolism where uncertainty around the clinical event was high and complicated the disclosure. Uncertainty is common to many medical errors but should not deter open conversations with patients and families about what is and is not known about the event. Continued discussion within the medical profession about applying disclosure principles to real-world cases can help to better meet patients' and families' needs following medical errors.

  9. [The "Susami information sharing system" facilitates cooperation between medical care, nursing care and senior care].

    PubMed

    Takagaki, Yusaku; Yamamoto, Shuji; Kubo, Mayu; Kunitatsu, Kosei

    2014-01-01

    Susami is a typical rural town of which about 5,000 with a 40% aging rate, located in the south of Wakayama prefecture. The needs with regard to medical care, nursing care and senior care has been increasing every year. However, there are few staff members involved in such care services. To take better care of our community, we developed the "Susami information sharing system." The subjects consisted of 2,600 people from Susami who provided their consent for their information to be shared. Using the information sharing system, the medical information, including prescriptions, infusions, imaging and laboratory data is automatically extracted from the electronic medical records at Susami hospital. Home nursing information is uploaded by a handheld unit by nurses at home nursing stations. Senior care information is also shared by care workers as part of the Susami social welfare association. Welfare information, including the results of basic medical examinations, cancer screening and vaccination data are uploaded by staff of the government office. Infrared motion sensors are installed in the homes of subjects living on their own to monitor their life activities. All information is collected by a shared host server through each information disclosure server. All information can be seen in the electronic medical records and PC monitors. The Susami government office administers this system under an annual budget, 3,800,000 yen. Most of the budget is the maintenance cost of the infrared motion sensors. The annual administration expense for the system's servers is 680,000 yen. Because the maintenance cost is relatively low, it is not difficult for small-scale governments like that in Susami to maintain this system. In the near future, we will consider allowing other departments and practitioners to connect to our system. This system has strengthened both mutual understanding and cooperation between patients, health care providers, nurses and caregivers.

  10. Epidemiology of Adverse Events and Medical Errors in the Care of Cardiology Patients.

    PubMed

    Ohta, Yoshinori; Miki, Izumi; Kimura, Takeshi; Abe, Mitsuru; Sakuma, Mio; Koike, Kaoru; Morimoto, Takeshi

    2016-11-02

    There have been epidemiological studies of adverse events (AEs) among general patients but those of patients cared by cardiologist are not well scrutinized. We investigated the occurrence of AEs and medical errors (MEs) among adult patients with cardiology in Japan. We conducted a cross-sectional study of adult outpatients at a Japanese teaching hospital from February through November 2006. We measured AE and ME incidents from patient report, which were verified by medical records, laboratory data, incident reports, and prescription queries. Two independent physicians reviewed the incidents to determine whether they were AEs or MEs and to assess severity and symptoms. We identified 144 AEs and 30 MEs (16.3 and 3.9 per 100 patients, respectively). Of the 144 AEs, 99 were solely adverse drug events (ADEs), 20 were solely non-ADEs, and the remaining 25 were both causes. The most frequent symptoms of ADEs were skin and allergic reactions due to medication. The most frequent symptoms of non-ADEs were bleeding due to therapeutic interventions. Among AEs, 12% was life threatening. Life-threatening AEs were 25% of non-ADEs and 5% of ADEs (P = 0.0003). Among the 30 MEs, 21MEs (70%) were associated with drugs. Adverse events were common among cardiology patients. Adverse drug events were the most frequent AEs, and non-ADEs were more critical than ADEs. Such data should be recognized among practicing physicians to improve the patients' outcomes.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.

  11. Comprehensive analysis of a medication dosing error related to CPOE.

    PubMed

    Horsky, Jan; Kuperman, Gilad J; Patel, Vimla L

    2005-01-01

    This case study of a serious medication error demonstrates the necessity of a comprehensive methodology for the analysis of failures in interaction between humans and information systems. The authors used a novel approach to analyze a dosing error related to computer-based ordering of potassium chloride (KCl). The method included a chronological reconstruction of events and their interdependencies from provider order entry usage logs, semistructured interviews with involved clinicians, and interface usability inspection of the ordering system. Information collected from all sources was compared and evaluated to understand how the error evolved and propagated through the system. In this case, the error was the product of faults in interaction among human and system agents that methods limited in scope to their distinct analytical domains would not identify. The authors characterized errors in several converging aspects of the drug ordering process: confusing on-screen laboratory results review, system usability difficulties, user training problems, and suboptimal clinical system safeguards that all contributed to a serious dosing error. The results of the authors' analysis were used to formulate specific recommendations for interface layout and functionality modifications, suggest new user alerts, propose changes to user training, and address error-prone steps of the KCl ordering process to reduce the risk of future medication dosing errors.

  12. Decrease in medical command errors with use of a "standing orders" protocol system.

    PubMed

    Holliman, C J; Wuerz, R C; Meador, S A

    1994-05-01

    The purpose of this study was to determine the physician medical command error rates and paramedic error rates after implementation of a "standing orders" protocol system for medical command. These patient-care error rates were compared with the previously reported rates for a "required call-in" medical command system (Ann Emerg Med 1992; 21(4):347-350). A secondary aim of the study was to determine if the on-scene time interval was increased by the standing orders system. Prospectively conducted audit of prehospital advanced life support (ALS) trip sheets was made at an urban ALS paramedic service with on-line physician medical command from three local hospitals. All ALS run sheets from the start time of the standing orders system (April 1, 1991) for a 1-year period ending on March 30, 1992 were reviewed as part of an ongoing quality assurance program. Cases were identified as nonjustifiably deviating from regional emergency medical services (EMS) protocols as judged by agreement of three physician reviewers (the same methodology as a previously reported command error study in the same ALS system). Medical command and paramedic errors were identified from the prehospital ALS run sheets and categorized. Two thousand one ALS runs were reviewed; 24 physician errors (1.2% of the 1,928 "command" runs) and eight paramedic errors (0.4% of runs) were identified. The physician error rate was decreased from the 2.6% rate in the previous study (P < .0001 by chi 2 analysis). The on-scene time interval did not increase with the "standing orders" system.(ABSTRACT TRUNCATED AT 250 WORDS)

  13. Wisdom in Medicine: What Helps Physicians After a Medical Error?

    PubMed

    Plews-Ogan, Margaret; May, Natalie; Owens, Justine; Ardelt, Monika; Shapiro, Jo; Bell, Sigall K

    2016-02-01

    Confronting medical error openly is critical to organizational learning, but less is known about what helps individual clinicians learn and adapt positively after making a harmful mistake. Understanding what factors help doctors gain wisdom can inform educational and peer support programs, and may facilitate the development of specific tools to assist doctors after harmful errors occur. Using "posttraumatic growth" as a model, the authors conducted semistructured interviews (2009-2011) with 61 physicians who had made a serious medical error. Interviews were recorded, professionally transcribed, and coded by two study team members (kappa 0.8) using principles of grounded theory and NVivo software. Coders also scored interviewees as wisdom exemplars or nonexemplars based on Ardelt's three-dimensional wisdom model. Of the 61 physicians interviewed, 33 (54%) were male, and on average, eight years had elapsed since the error. Wisdom exemplars were more likely to report disclosing the error to the patient/family (69%) than nonexemplars (38%); P < .03. Fewer than 10% of all participants reported receiving disclosure training. Investigators identified eight themes reflecting what helped physician wisdom exemplars cope positively: talking about it, disclosure and apology, forgiveness, a moral context, dealing with imperfection, learning/becoming an expert, preventing recurrences/improving teamwork, and helping others/teaching. The path forged by doctors who coped well with medical error highlights specific ways to help clinicians move through this difficult experience so that they avoid devastating professional outcomes and have the best chance of not just recovery but positive growth.

  14. The impact of work-related stress on medication errors in Eastern Region Saudi Arabia.

    PubMed

    Salam, Abdul; Segal, David M; Abu-Helalah, Munir Ahmad; Gutierrez, Mary Lou; Joosub, Imran; Ahmed, Wasim; Bibi, Rubina; Clarke, Elizabeth; Qarni, Ali Ahmed Al

    2018-05-07

    To examine the relationship between overall level and source-specific work-related stressors on medication errors rate. A cross-sectional study examined the relationship between overall levels of stress, 25 source-specific work-related stressors and medication error rate based on documented incident reports in Saudi Arabia (SA) hospital, using secondary databases. King Abdulaziz Hospital in Al-Ahsa, Eastern Region, SA. Two hundred and sixty-nine healthcare professionals (HCPs). The odds ratio (OR) and corresponding 95% confidence interval (CI) for HCPs documented incident report medication errors and self-reported sources of Job Stress Survey. Multiple logistic regression analysis identified source-specific work-related stress as significantly associated with HCPs who made at least one medication error per month (P < 0.05), including disruption to home life, pressure to meet deadlines, difficulties with colleagues, excessive workload, income over 10 000 riyals and compulsory night/weekend call duties either some or all of the time. Although not statistically significant, HCPs who reported overall stress were two times more likely to make at least one medication error per month than non-stressed HCPs (OR: 1.95, P = 0.081). This is the first study to use documented incident reports for medication errors rather than self-report to evaluate the level of stress-related medication errors in SA HCPs. Job demands, such as social stressors (home life disruption, difficulties with colleagues), time pressures, structural determinants (compulsory night/weekend call duties) and higher income, were significantly associated with medication errors whereas overall stress revealed a 2-fold higher trend.

  15. The Safe and Effective Use of Shared Data Underpinned by Stakeholder Engagement and Evaluation Practice.

    PubMed

    Georgiou, Andrew; Magrabi, Farah; Hypponen, Hannele; Wong, Zoie Shui-Yee; Nykänen, Pirkko; Scott, Philip J; Ammenwerth, Elske; Rigby, Michael

    2018-04-22

     The paper draws attention to: i) key considerations involving the confidentiality, privacy, and security of shared data; and ii) the requirements needed to build collaborative arrangements encompassing all stakeholders with the goal of ensuring safe, secure, and quality use of shared data.  A narrative review of existing research and policy approaches along with expert perspectives drawn from the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development in Health Care and the European Federation for Medical Informatics (EFMI) Working Group for Assessment of Health Information Systems.  The technological ability to merge, link, re-use, and exchange data has outpaced the establishment of policies, procedures, and processes to monitor the ethics and legality of shared use of data. Questions remain about how to guarantee the security of shared data, and how to establish and maintain public trust across large-scale shared data enterprises. This paper identifies the importance of data governance frameworks (incorporating engagement with all stakeholders) to underpin the management of the ethics and legality of shared data use. The paper also provides some key considerations for the establishment of national approaches and measures to monitor compliance with best practice. Data sharing endeavours can help to underpin new collaborative models of health care which provide shared information, engagement, and accountability amongst all stakeholders. We believe that commitment to rigorous evaluation and stakeholder engagement will be critical to delivering health data benefits and the establishment of collaborative models of health care into the future. Georg Thieme Verlag KG Stuttgart.

  16. DataONE: Survey of Earth Scientists, To Share or Not to Share Data

    NASA Astrophysics Data System (ADS)

    Branch, B. D.; Tenopir, C.; Allard, S.; Douglas, K.; Wu, L.; Frame, M.; Dataone-The Data Observation NetworkEarth

    2010-12-01

    A primary goal of the Data Observation Network for Earth (DataONE; http://dataone.org) is to ensure preservation and access to multi-scale, multi-discipline, and multi-national science data, particularly in the Earth and Environmental Sciences. As a means to measure project success and to better understand the needs of the community, we have conducted a baseline assessment of the data sharing practices and preferences of domain scientists. The survey is motivated by the understanding that improving access to the sharing of data requires changes in both technology and expectations of the scientific community. A follow-up survey conducted in the future will measure how data sharing initiatives such as DataONE have influenced attitudes and behaviors. A letter of invitation with a link to an online survey instrument was emailed to scientists. Scientists were contacted by several methods: through contacts at the universities where they work, through journal editors of science journals, and directly to biology and environmental science faculty at major U.S. universities. A total of 1329 responses were received. The overall findings from the baseline assessment demonstrate several key findings. -Data management practices vary: {56.1%of respondents did not use any metadata standard, 22.1% used a lab created metadata standard, and over half of respondents 59% (local site) and 55% (national site) mentioned that at least some of their data were available; only 42% (global) and 35% (regional site) respondents mentioned that their data were available.} -Many scientists are interested in sharing data. Over 80% of respondents agreed with the statements: {“I would use other researchers' datasets if their datasets were easily accessible.” and “I would be willing to share data across a broad group of researchers who use data in different ways.”} -There are many barriers to sharing data. The two most common barriers identified were: {Insufficient time (54%) and Lack of

  17. Use of Electronic Medication Administration Records to Reduce Perceived Stress and Risk of Medication Errors in Nursing Homes.

    PubMed

    Alenius, Malin; Graf, Peter

    2016-07-01

    Concerns have been raised about the effects of current medication administration processes on the safety of many of the aspects of medication administration. Keeping electronic medication administration records could decrease many of these problems. Unfortunately, there has not been much research on this topic, especially in nursing homes. A prospective case-control survey was consequently performed at two nursing homes; the electronic record system was introduced in one, whereas the other continued to use paper records. The personnel were asked to fill in a questionnaire of their perceptions of stress and risk of medication errors at baseline (n = 66) and 20 weeks after the intervention group had started recording medication administration electronically (n = 59). There were statistically significant decreases in the perceived risk of omitting a medication, of medication errors occurring because of communication problems, and of medication errors occurring because of inaccurate medication administration records in the intervention group (all P < .01 vs the control group). The perceived overall daily stress levels were also reduced in the intervention group (P < .05). These results indicate that the utilization of electronic medication administration records will reduce many of the concerns regarding the medication administration process.

  18. Evaluation of real-time data obtained from gravimetric preparation of antineoplastic agents shows medication errors with possible critical therapeutic impact: Results of a large-scale, multicentre, multinational, retrospective study.

    PubMed

    Terkola, R; Czejka, M; Bérubé, J

    2017-08-01

    Medication errors are a significant cause of morbidity and mortality especially with antineoplastic drugs, owing to their narrow therapeutic index. Gravimetric workflow software systems have the potential to reduce volumetric errors during intravenous antineoplastic drug preparation which may occur when verification is reliant on visual inspection. Our aim was to detect medication errors with possible critical therapeutic impact as determined by the rate of prevented medication errors in chemotherapy compounding after implementation of gravimetric measurement. A large-scale, retrospective analysis of data was carried out, related to medication errors identified during preparation of antineoplastic drugs in 10 pharmacy services ("centres") in five European countries following the introduction of an intravenous workflow software gravimetric system. Errors were defined as errors in dose volumes outside tolerance levels, identified during weighing stages of preparation of chemotherapy solutions which would not otherwise have been detected by conventional visual inspection. The gravimetric system detected that 7.89% of the 759 060 doses of antineoplastic drugs prepared at participating centres between July 2011 and October 2015 had error levels outside the accepted tolerance range set by individual centres, and prevented these doses from reaching patients. The proportion of antineoplastic preparations with deviations >10% ranged from 0.49% to 5.04% across sites, with a mean of 2.25%. The proportion of preparations with deviations >20% ranged from 0.21% to 1.27% across sites, with a mean of 0.71%. There was considerable variation in error levels for different antineoplastic agents. Introduction of a gravimetric preparation system for antineoplastic agents detected and prevented dosing errors which would not have been recognized with traditional methods and could have resulted in toxicity or suboptimal therapeutic outcomes for patients undergoing anticancer treatment.

  19. The economics of health care quality and medical errors.

    PubMed

    Andel, Charles; Davidow, Stephen L; Hollander, Mark; Moreno, David A

    2012-01-01

    Hospitals have been looking for ways to improve quality and operational efficiency and cut costs for nearly three decades, using a variety of quality improvement strategies. However, based on recent reports, approximately 200,000 Americans die from preventable medical errors including facility-acquired conditions and millions may experience errors. In 2008, medical errors cost the United States $19.5 billion. About 87 percent or $17 billion were directly associated with additional medical cost, including: ancillary services, prescription drug services, and inpatient and outpatient care, according to a study sponsored by the Society for Actuaries and conducted by Milliman in 2010. Additional costs of $1.4 billion were attributed to increased mortality rates with $1.1 billion or 10 million days of lost productivity from missed work based on short-term disability claims. The authors estimate that the economic impact is much higher, perhaps nearly $1 trillion annually when quality-adjusted life years (QALYs) are applied to those that die. Using the Institute of Medicine's (IOM) estimate of 98,000 deaths due to preventable medical errors annually in its 1998 report, To Err Is Human, and an average of ten lost years of life at $75,000 to $100,000 per year, there is a loss of $73.5 billion to $98 billion in QALYs for those deaths--conservatively. These numbers are much greater than those we cite from studies that explore the direct costs of medical errors. And if the estimate of a recent Health Affairs article is correct-preventable death being ten times the IOM estimate-the cost is $735 billion to $980 billion. Quality care is less expensive care. It is better, more efficient, and by definition, less wasteful. It is the right care, at the right time, every time. It should mean that far fewer patients are harmed or injured. Obviously, quality care is not being delivered consistently throughout U.S. hospitals. Whatever the measure, poor quality is costing payers and

  20. Medication administration errors from a nursing viewpoint: a formal consensus of definition and scenarios using a Delphi technique.

    PubMed

    Shawahna, Ramzi; Masri, Dina; Al-Gharabeh, Rawan; Deek, Rawan; Al-Thayba, Lama; Halaweh, Masa

    2016-02-01

    To develop and achieve formal consensus on a definition of medication administration errors and scenarios that should or should not be considered as medication administration errors in hospitalised patient settings. Medication administration errors occur frequently in hospitalised patient settings. Currently, there is no formal consensus on a definition of medication administration errors or scenarios that should or should not be considered as medication administration errors. This was a descriptive study using Delphi technique. A panel of experts (n = 50) recruited from major hospitals, nursing schools and universities in Palestine took part in the study. Three Delphi rounds were followed to achieve consensus on a proposed definition of medication administration errors and a series of 61 scenarios representing potential medication administration error situations formulated into a questionnaire. In the first Delphi round, key contact nurses' views on medication administration errors were explored. In the second Delphi round, consensus was achieved to accept the proposed definition of medication administration errors and to include 36 (59%) scenarios and exclude 1 (1·6%) as medication administration errors. In the third Delphi round, consensus was achieved to consider further 14 (23%) and exclude 2 (3·3%) as medication administration errors while the remaining eight (13·1%) were considered equivocal. Of the 61 scenarios included in the Delphi process, experts decided to include 50 scenarios as medication administration errors, exclude three scenarios and include or exclude eight scenarios depending on the individual clinical situation. Consensus on a definition and scenarios representing medication administration errors can be achieved using formal consensus techniques. Researchers should be aware that using different definitions of medication administration errors, inclusion or exclusion of medication administration error situations could significantly affect

  1. Sleep, mental health status, and medical errors among hospital nurses in Japan.

    PubMed

    Arimura, Mayumi; Imai, Makoto; Okawa, Masako; Fujimura, Toshimasa; Yamada, Naoto

    2010-01-01

    Medical error involving nurses is a critical issue since nurses' actions will have a direct and often significant effect on the prognosis of their patients. To investigate the significance of nurse health in Japan and its potential impact on patient services, a questionnaire-based survey amongst nurses working in hospitals was conducted, with the specific purpose of examining the relationship between shift work, mental health and self-reported medical errors. Multivariate analysis revealed significant associations between the shift work system, General Health Questionnaire (GHQ) scores and nurse errors: the odds ratios for shift system and GHQ were 2.1 and 1.1, respectively. It was confirmed that both sleep and mental health status among hospital nurses were relatively poor, and that shift work and poor mental health were significant factors contributing to medical errors.

  2. Mitigating errors caused by interruptions during medication verification and administration: interventions in a simulated ambulatory chemotherapy setting

    PubMed Central

    Prakash, Varuna; Koczmara, Christine; Savage, Pamela; Trip, Katherine; Stewart, Janice; McCurdie, Tara; Cafazzo, Joseph A; Trbovich, Patricia

    2014-01-01

    Background Nurses are frequently interrupted during medication verification and administration; however, few interventions exist to mitigate resulting errors, and the impact of these interventions on medication safety is poorly understood. Objective The study objectives were to (A) assess the effects of interruptions on medication verification and administration errors, and (B) design and test the effectiveness of targeted interventions at reducing these errors. Methods The study focused on medication verification and administration in an ambulatory chemotherapy setting. A simulation laboratory experiment was conducted to determine interruption-related error rates during specific medication verification and administration tasks. Interventions to reduce these errors were developed through a participatory design process, and their error reduction effectiveness was assessed through a postintervention experiment. Results Significantly more nurses committed medication errors when interrupted than when uninterrupted. With use of interventions when interrupted, significantly fewer nurses made errors in verifying medication volumes contained in syringes (16/18; 89% preintervention error rate vs 11/19; 58% postintervention error rate; p=0.038; Fisher's exact test) and programmed in ambulatory pumps (17/18; 94% preintervention vs 11/19; 58% postintervention; p=0.012). The rate of error commission significantly decreased with use of interventions when interrupted during intravenous push (16/18; 89% preintervention vs 6/19; 32% postintervention; p=0.017) and pump programming (7/18; 39% preintervention vs 1/19; 5% postintervention; p=0.017). No statistically significant differences were observed for other medication verification tasks. Conclusions Interruptions can lead to medication verification and administration errors. Interventions were highly effective at reducing unanticipated errors of commission in medication administration tasks, but showed mixed effectiveness at

  3. HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology

    NASA Astrophysics Data System (ADS)

    Tarboton, D. G.; Idaszak, R.; Horsburgh, J. S.; Ames, D. P.; Goodall, J. L.; Couch, A.; Hooper, R. P.; Dash, P. K.; Stealey, M.; Yi, H.; Bandaragoda, C.; Castronova, A. M.

    2017-12-01

    HydroShare is an online, collaboration system for sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around "resources" which are defined by standardized content types for data formats and models commonly used in hydrology. With HydroShare you can: Share your data and models with colleagues; Manage who has access to the content that you share; Share, access, visualize and manipulate a broad set of hydrologic data types and models; Use the web services application programming interface (API) to program automated and client access; Publish data and models and obtain a citable digital object identifier (DOI); Aggregate your resources into collections; Discover and access data and models published by others; Use web apps to visualize, analyze and run models on data in HydroShare. This presentation will describe the functionality and architecture of HydroShare highlighting its use as a virtual environment supporting education and research. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud (servers remote from the user) overcoming desktop platform limitations. The HydroShare GIS app provides a basic capability to visualize spatial data. The HydroShare JupyterHub Notebook app provides flexible and documentable execution of Python code snippets for analysis and modeling in a way that results can be shared among HydroShare users and groups to support research collaboration and education. We will discuss how these developments can be used to support different types of educational efforts in Hydrology where being completely web based is of value in an educational setting as students can all have access to the same functionality regardless of their computer.

  4. Medical professional liability insurance and its relation to medical error and healthcare risk management for the practicing physician.

    PubMed

    Abbott, Richard L; Weber, Paul; Kelley, Betsy

    2005-12-01

    To review the history and current issues surrounding medical professional liability insurance and its relationship to medical error and healthcare risk management. Focused literature review and authors' experience. Medical professional liability insurance issues are reviewed in association with the occurrence of medical error and the role of healthcare risk management. The rising frequency and severity of claims and lawsuits incurred by physicians, as well as escalating defense costs, have dramatically increased over the past several years and have resulted in accelerated efforts to reduce medical errors and control practice risk for physicians. Medical error reduction and improved patient outcomes are closely linked to the goals of the medical risk manager by reducing exposure to adverse medical events. Management of professional liability risk by the physician-led malpractice insurance company not only protects the economic viability of physicians, but also addresses patient safety concerns. Physician-owned malpractice liability insurance companies will continue to be the dominant providers of insurance for practicing physicians and will serve as the primary source for loss prevention and risk management services. To succeed in the marketplace, the emergence and importance of the risk manager and incorporation of risk management principles throughout the professional liability company has become crucial to the financial stability and success of the insurance company. The risk manager provides the necessary advice and support requested by physicians to minimize medical liability risk in their daily practice.

  5. Collaborative Sharing of Multidimensional Space-time Data Using HydroShare

    NASA Astrophysics Data System (ADS)

    Gan, T.; Tarboton, D. G.; Horsburgh, J. S.; Dash, P. K.; Idaszak, R.; Yi, H.; Blanton, B.

    2015-12-01

    HydroShare is a collaborative environment being developed for sharing hydrological data and models. It includes capability to upload data in many formats as resources that can be shared. The HydroShare data model for resources uses a specific format for the representation of each type of data and specifies metadata common to all resource types as well as metadata unique to specific resource types. The Network Common Data Form (NetCDF) was chosen as the format for multidimensional space-time data in HydroShare. NetCDF is widely used in hydrological and other geoscience modeling because it contains self-describing metadata and supports the creation of array-oriented datasets that may include three spatial dimensions, a time dimension and other user defined dimensions. For example, NetCDF may be used to represent precipitation or surface air temperature fields that have two dimensions in space and one dimension in time. This presentation will illustrate how NetCDF files are used in HydroShare. When a NetCDF file is loaded into HydroShare, header information is extracted using the "ncdump" utility. Python functions developed for the Django web framework on which HydroShare is based, extract science metadata present in the NetCDF file, saving the user from having to enter it. Where the file follows Climate Forecast (CF) convention and Attribute Convention for Dataset Discovery (ACDD) standards, metadata is thus automatically populated. Users also have the ability to add metadata to the resource that may not have been present in the original NetCDF file. HydroShare's metadata editing functionality then writes this science metadata back into the NetCDF file to maintain consistency between the science metadata in HydroShare and the metadata in the NetCDF file. This further helps researchers easily add metadata information following the CF and ACDD conventions. Additional data inspection and subsetting functions were developed, taking advantage of Python and command line

  6. Risk perception about medication sharing among patients: a focus group qualitative study on borrowing and lending of prescription analgesics.

    PubMed

    Markotic, Filipa; Vrdoljak, Davorka; Puljiz, Marijana; Puljak, Livia

    2017-01-01

    One form of self-medication is sharing of medications, defined as borrowing or lending medications in situations where the receiver of these drugs is not the individual to whom the medications were allocated. To explore experiences and opinions of patients about sharing prescription analgesics, reasons for sharing prescription analgesics, the way in which patients choose to share those medications, their awareness of risk regarding sharing prescription analgesics, and how they estimated the potential risk. This qualitative study was conducted by focus group discussions with 40 participants led by a moderator trained in focus group methodology using a semi-structured moderator guide. Adults aged ≥18 years who had received a prescription for an analgesic at least once in a lifetime were included. Six separate focus groups were conducted to discuss participants' perception of risks associated with sharing of prescription analgesics among patients. Additionally, participants filled out two questionnaires on demographic data, their own behavior regarding sharing analgesics, and their attitudes about risks associated with sharing prescription analgesics. In a questionnaire, 55% of the participants indicated that they personally shared prescription analgesics, while subsequently in the focus group discussions, 76% confessed to such behavior. Participants recognized certain risks related to sharing of prescription analgesics, mentioned a number of reasons for engaging in such behavior, and indicated certain positive aspects of such behavior. Forty-five percent of the participants indicated that sharing prescription analgesics is riskier than sharing nonprescription analgesics. There is a prevalent attitude among participants that sharing prescription analgesics is a positive behavior, where potential benefits outweigh risks.

  7. Willingness of nurses to report medication administration errors in southern Taiwan: a cross-sectional survey.

    PubMed

    Lin, Yu-Hua; Ma, Su-mei

    2009-01-01

    Underreporting of medication administering errors (MAEs) is a threat to the quality of nursing care. The reasons for MAEs are complex and vary by health professional and institution. The purpose of this study was to explore the prevalence of MAEs and the willingness of nurses to report them. A cross-sectional study was conducted involving a survey of 14 medical surgical hospitals in southern Taiwan. Nurses voluntarily participated in this study. A structured questionnaire was completed by 605 participants. Data were collected from February 1, 2005 to March 15, 2005 using the following instruments: MAEs Unwillingness to Report Scale, Medication Errors Etiology Questionnaire, and Personal Features Questionnaire. One additional question was used to identify the willingness of nurses to report medication errors: "When medication errors occur, should they be reported to the department?" This question helped to identify the willingness or lack thereof, to report incident errors. The results indicated that 66.9% of the nurses reported experiencing MAEs and 87.7% of the nurses had a willingness to report the MAEs if there were no consequences for reporting. The nurses' willingness to report MAEs differed by job position, nursing grade, type of hospital, and hospital funding. The final logistic regression model demonstrated hospital funding to be the only statistically significant factor. The odds of a willingness to report MAEs increased 2.66-fold in private hospitals (p = 0.032, CI = 1.09 to 6.49), and 3.28 in nonprofit hospitals (p = 0.00, CI = 1.73 to 6.21) when compared to public hospitals. This study demonstrates that reporting of MAEs should be anonymous and without negative consequences in order to monitor and guide improvements in hospital medication systems.

  8. Medical Errors: Tips to Help Prevent Them

    MedlinePlus

    ... consider A study by the Massachusetts College of Pharmacy and Allied Health Sciences found that 88% of medical errors involve the wrong drug or the wrong dose. This is one more reason why you should be a ... up refills at the pharmacy. In the hospital, have in writing the medicine ...

  9. Local-search based prediction of medical image registration error

    NASA Astrophysics Data System (ADS)

    Saygili, Görkem

    2018-03-01

    Medical image registration is a crucial task in many different medical imaging applications. Hence, considerable amount of work has been published recently that aim to predict the error in a registration without any human effort. If provided, these error predictions can be used as a feedback to the registration algorithm to further improve its performance. Recent methods generally start with extracting image-based and deformation-based features, then apply feature pooling and finally train a Random Forest (RF) regressor to predict the real registration error. Image-based features can be calculated after applying a single registration but provide limited accuracy whereas deformation-based features such as variation of deformation vector field may require up to 20 registrations which is a considerably high time-consuming task. This paper proposes to use extracted features from a local search algorithm as image-based features to estimate the error of a registration. The proposed method comprises a local search algorithm to find corresponding voxels between registered image pairs and based on the amount of shifts and stereo confidence measures, it predicts the amount of registration error in millimetres densely using a RF regressor. Compared to other algorithms in the literature, the proposed algorithm does not require multiple registrations, can be efficiently implemented on a Graphical Processing Unit (GPU) and can still provide highly accurate error predictions in existence of large registration error. Experimental results with real registrations on a public dataset indicate a substantially high accuracy achieved by using features from the local search algorithm.

  10. Open sharing of genomic data: Who does it and why?

    PubMed

    Haeusermann, Tobias; Greshake, Bastian; Blasimme, Alessandro; Irdam, Darja; Richards, Martin; Vayena, Effy

    2017-01-01

    We explored the characteristics and motivations of people who, having obtained their genetic or genomic data from Direct-To-Consumer genetic testing (DTC-GT) companies, voluntarily decide to share them on the publicly accessible web platform openSNP. The study is the first attempt to describe open data sharing activities undertaken by individuals without institutional oversight. In the paper we provide a detailed overview of the distribution of the demographic characteristics and motivations of people engaged in genetic or genomic open data sharing. The geographical distribution of the respondents showed the USA as dominant. There was no significant gender divide, the age distribution was broad, educational background varied and respondents with and without children were equally represented. Health, even though prominent, was not the respondents' primary or only motivation to be tested. As to their motivations to openly share their data, 86.05% indicated wanting to learn about themselves as relevant, followed by contributing to the advancement of medical research (80.30%), improving the predictability of genetic testing (76.02%) and considering it fun to explore genotype and phenotype data (75.51%). Whereas most respondents were well aware of the privacy risks of their involvement in open genetic data sharing and considered the possibility of direct, personal repercussions troubling, they estimated the risk of this happening to be negligible. Our findings highlight the diversity of DTC-GT consumers who decide to openly share their data. Instead of focusing exclusively on health-related aspects of genetic testing and data sharing, our study emphasizes the importance of taking into account benefits and risks that stretch beyond the health spectrum. Our results thus lend further support to the call for a broader and multi-faceted conceptualization of genomic utility.

  11. Methodological Challenges in Describing Medication Dosing Errors in Children

    DTIC Science & Technology

    2005-01-01

    recommendations. As an example, amoxicillin is the most commonly used medication in children. This one drug accounts for approximately 10 percent of...and a team intervention on prevention of serious medication errors. JAMA 1998;280(15):1311–6. 13. Bates DW, Teich JM, Lee J, et al. The impact of...barriers include prescribing medication that is not labeled for use in children, discrepancies in published dosing recommendations for many

  12. Pediatric Anesthesiology Fellows' Perception of Quality of Attending Supervision and Medical Errors.

    PubMed

    Benzon, Hubert A; Hajduk, John; De Oliveira, Gildasio; Suresh, Santhanam; Nizamuddin, Sarah L; McCarthy, Robert; Jagannathan, Narasimhan

    2018-02-01

    Appropriate supervision has been shown to reduce medical errors in anesthesiology residents and other trainees across various specialties. Nonetheless, supervision of pediatric anesthesiology fellows has yet to be evaluated. The main objective of this survey investigation was to evaluate supervision of pediatric anesthesiology fellows in the United States. We hypothesized that there was an indirect association between perceived quality of faculty supervision of pediatric anesthesiology fellow trainees and the frequency of medical errors reported. A survey of pediatric fellows from 53 pediatric anesthesiology fellowship programs in the United States was performed. The primary outcome was the frequency of self-reported errors by fellows, and the primary independent variable was supervision scores. Questions also assessed barriers for effective faculty supervision. One hundred seventy-six pediatric anesthesiology fellows were invited to participate, and 104 (59%) responded to the survey. Nine of 103 (9%, 95% confidence interval [CI], 4%-16%) respondents reported performing procedures, on >1 occasion, for which they were not properly trained for. Thirteen of 101 (13%, 95% CI, 7%-21%) reported making >1 mistake with negative consequence to patients, and 23 of 104 (22%, 95% CI, 15%-31%) reported >1 medication error in the last year. There were no differences in median (interquartile range) supervision scores between fellows who reported >1 medication error compared to those reporting ≤1 errors (3.4 [3.0-3.7] vs 3.4 [3.1-3.7]; median difference, 0; 99% CI, -0.3 to 0.3; P = .96). Similarly, there were no differences in those who reported >1 mistake with negative patient consequences, 3.3 (3.0-3.7), compared with those who did not report mistakes with negative patient consequences (3.4 [3.3-3.7]; median difference, 0.1; 99% CI, -0.2 to 0.6; P = .35). We detected a high rate of self-reported medication errors in pediatric anesthesiology fellows in the United States

  13. Data sharing in international transboundary contexts: The Vietnamese perspective on data sharing in the Lower Mekong Basin

    NASA Astrophysics Data System (ADS)

    Thu, Hang Ngo; Wehn, Uta

    2016-05-01

    Transboundary data sharing is widely recognised as a necessary element in the successful handling of water-related climate change issues, as it is a means towards integrated water resources management (IWRM). However, in practice it is often a challenge to achieve it. The Mekong River Commission (MRC), an inter-governmental agency established by Cambodia, Lao PDR, Thailand and Vietnam, has adopted IWRM in its water strategy plan in order to properly manage the transboundary waters of the Mekong River. In this context, data sharing procedures were institutionalised and have been officially implemented by the four member countries since 2001. This paper uses a systematic approach to identify the extent of data sharing and the factors influencing the willingness of key individuals in the Vietnam National Mekong Committee and its Primary Custodians to share data. We find that the initial objectives of the Procedures for Data and Information Exchange and Sharing (PDIES) have not been fully achieved and, further, that Vietnam has much to gain and little to lose by engaging in data sharing in the MRC context. The primary motivation for data sharing stems from the desire to protect national benefits and to prevent upstream countries from overexploiting the shared water resources. However, data sharing is hindered by a lack of national regulations in the Vietnam context concerning data sharing between state agencies and outdated information management systems.

  14. Has open data arrived at the British Medical Journal (BMJ)? An observational study.

    PubMed

    Rowhani-Farid, Anisa; Barnett, Adrian G

    2016-10-13

    To quantify data sharing trends and data sharing policy compliance at the British Medical Journal (BMJ) by analysing the rate of data sharing practices, and investigate attitudes and examine barriers towards data sharing. Observational study. The BMJ research archive. 160 randomly sampled BMJ research articles from 2009 to 2015, excluding meta-analysis and systematic reviews. Percentages of research articles that indicated the availability of their raw data sets in their data sharing statements, and those that easily made their data sets available on request. 3 articles contained the data in the article. 50 out of 157 (32%) remaining articles indicated the availability of their data sets. 12 used publicly available data and the remaining 38 were sent email requests to access their data sets. Only 1 publicly available data set could be accessed and only 6 out of 38 shared their data via email. So only 7/157 research articles shared their data sets, 4.5% (95% CI 1.8% to 9%). For 21 clinical trials bound by the BMJ data sharing policy, the per cent shared was 24% (8% to 47%). Despite the BMJ's strong data sharing policy, sharing rates are low. Possible explanations for low data sharing rates could be: the wording of the BMJ data sharing policy, which leaves room for individual interpretation and possible loopholes; that our email requests ended up in researchers spam folders; and that researchers are not rewarded for sharing their data. It might be time for a more effective data sharing policy and better incentives for health and medical researchers to share their data. 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/.

  15. Successful remediation of patient safety incidents: a tale of two medication errors.

    PubMed

    Helmchen, Lorens A; Richards, Michael R; McDonald, Timothy B

    2011-01-01

    As patient safety acquires strategic importance for all stakeholders in the health care delivery chain, one promising mechanism centers on the proactive disclosure of medical errors to patients. Yet, disclosure and apology alone will not be effective in fully addressing patients' concerns after an adverse event unless they are paired with a remediation component. The purpose of this study was to identify key features of successful remediation efforts that accompany the proactive disclosure of medical errors to patients. We describe and contrast two recent and very similar cases of preventable medical error involving inappropriate medication at a large tertiary-care academic medical center in the Midwestern United States. Despite their similarity, the two medical errors led to very different health outcomes and remediation trajectories for the injured patients. Although one error causing no permanent harm was mismanaged to the lasting dissatisfaction of the patient, the other resulted in the death of the patient but was remediated to the point of allowing the family to come to terms with the loss and even restored a modicum of trust in the providers' sincerity. To maximize the opportunities for successful remediation, as soon as possible after the incident, providers should pledge to injured patients and their relatives that they will assist and accompany them in their recovery as long as necessary and then follow through on their pledge. As the two case studies show, it takes training and vigilance to ensure adherence to these principles and reach an optimal outcome for patients and their relatives.

  16. Mitigating errors caused by interruptions during medication verification and administration: interventions in a simulated ambulatory chemotherapy setting.

    PubMed

    Prakash, Varuna; Koczmara, Christine; Savage, Pamela; Trip, Katherine; Stewart, Janice; McCurdie, Tara; Cafazzo, Joseph A; Trbovich, Patricia

    2014-11-01

    Nurses are frequently interrupted during medication verification and administration; however, few interventions exist to mitigate resulting errors, and the impact of these interventions on medication safety is poorly understood. The study objectives were to (A) assess the effects of interruptions on medication verification and administration errors, and (B) design and test the effectiveness of targeted interventions at reducing these errors. The study focused on medication verification and administration in an ambulatory chemotherapy setting. A simulation laboratory experiment was conducted to determine interruption-related error rates during specific medication verification and administration tasks. Interventions to reduce these errors were developed through a participatory design process, and their error reduction effectiveness was assessed through a postintervention experiment. Significantly more nurses committed medication errors when interrupted than when uninterrupted. With use of interventions when interrupted, significantly fewer nurses made errors in verifying medication volumes contained in syringes (16/18; 89% preintervention error rate vs 11/19; 58% postintervention error rate; p=0.038; Fisher's exact test) and programmed in ambulatory pumps (17/18; 94% preintervention vs 11/19; 58% postintervention; p=0.012). The rate of error commission significantly decreased with use of interventions when interrupted during intravenous push (16/18; 89% preintervention vs 6/19; 32% postintervention; p=0.017) and pump programming (7/18; 39% preintervention vs 1/19; 5% postintervention; p=0.017). No statistically significant differences were observed for other medication verification tasks. Interruptions can lead to medication verification and administration errors. Interventions were highly effective at reducing unanticipated errors of commission in medication administration tasks, but showed mixed effectiveness at reducing predictable errors of detection in

  17. Collection and sharing of medical information and medical intelligence (M2I) in NATO: a transversal survey.

    PubMed

    Bedubourg, Gabriel; Wiik, H; Queyriaux, B; Lausund, P; Meynard, J-B

    2018-04-06

    There is a requirement for adequate medical expertise to be available throughout the range of potential future operations involving members of the North Atlantic Treaty Organization (NATO). The aim of this study was to assess the collection and sharing of medical intelligence and medical information (M2I) by NATO Nations, Partner Nations and NATO Command Structure and NATO Force Structure Headquarters (NCS/NFS HQs). A transversal survey was conducted between December 2014 and March 2015 using a survey form on M2I sent to NATO Nations and Partnership for Peace (PfP) Nations as well as NCS/NFS HQs. Correctly completed responses were received from 15/40 (37.5%) of the possible NATO and PfP Nations (37.5%) and 7/8 (87.5%) of the NCS/NFS HQs (100.0%). Deficiencies in the collection of M2I data were found due to lack of specific doctrines, networks, tools, structures and organisation. The survey provided an indication even though the participation rate was low for Nations. Part of the problem is thought to be that medical information and medical intelligence often lie in different chains of command. Future directions for this research could include studying the possibilities of a new specific information technology (IT) system to collect and to share M2I. Collection and sharing of M2I within the NATO/PfP community requires facilitation in order to strengthen the basis for decision-making and force health protection. The development of a dedicated NATO IT system may be a precondition for the implementation of an efficient M2I network. © 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.

  18. Ethical Considerations on Disclosure When Medical Error Is Discovered During Medicolegal Death Investigation.

    PubMed

    Wolf, Dwayne A; Drake, Stacy A; Snow, Francine K

    2017-12-01

    In the course of fulfilling their statutory role, physicians performing medicolegal investigations may recognize clinical colleagues' medical errors. If the error is found to have led directly to the patient's death (missed diagnosis or incorrect diagnosis, for example), then the forensic pathologist has a professional responsibility to include the information in the autopsy report and make sure that the family is appropriately informed. When the error is significant but did not lead directly to the patient's demise, ethical questions may arise regarding the obligations of the medical examiner to disclose the error to the clinicians or to the family. This case depicts the discovery of medical error likely unrelated to the cause of death and describes one possible ethical approach to disclosure derived from an ethical reasoning model addressing ethical principles of respect for persons/autonomy, beneficence, nonmaleficence, and justice.

  19. SIMulation of Medication Error induced by Clinical Trial drug labeling: the SIMME-CT study.

    PubMed

    Dollinger, Cecile; Schwiertz, Vérane; Sarfati, Laura; Gourc-Berthod, Chloé; Guédat, Marie-Gabrielle; Alloux, Céline; Vantard, Nicolas; Gauthier, Noémie; He, Sophie; Kiouris, Elena; Caffin, Anne-Gaelle; Bernard, Delphine; Ranchon, Florence; Rioufol, Catherine

    2016-06-01

    To assess the impact of investigational drug labels on the risk of medication error in drug dispensing. A simulation-based learning program focusing on investigational drug dispensing was conducted. The study was undertaken in an Investigational Drugs Dispensing Unit of a University Hospital of Lyon, France. Sixty-three pharmacy workers (pharmacists, residents, technicians or students) were enrolled. Ten risk factors were selected concerning label information or the risk of confusion with another clinical trial. Each risk factor was scored independently out of 5: the higher the score, the greater the risk of error. From 400 labels analyzed, two groups were selected for the dispensing simulation: 27 labels with high risk (score ≥3) and 27 with low risk (score ≤2). Each question in the learning program was displayed as a simulated clinical trial prescription. Medication error was defined as at least one erroneous answer (i.e. error in drug dispensing). For each question, response times were collected. High-risk investigational drug labels correlated with medication error and slower response time. Error rates were significantly 5.5-fold higher for high-risk series. Error frequency was not significantly affected by occupational category or experience in clinical trials. SIMME-CT is the first simulation-based learning tool to focus on investigational drug labels as a risk factor for medication error. SIMME-CT was also used as a training tool for staff involved in clinical research, to develop medication error risk awareness and to validate competence in continuing medical education. © The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

  20. Interprofessional communication and medical error: a reframing of research questions and approaches.

    PubMed

    Varpio, Lara; Hall, Pippa; Lingard, Lorelei; Schryer, Catherine F

    2008-10-01

    Progress toward understanding the links between interprofessional communication and issues of medical error has been slow. Recent research proposes that this delay may result from overlooking the complexities involved in interprofessional care. Medical education initiatives in this domain tend to simplify the complexities of team membership fluidity, rotation, and use of communication tools. A new theoretically informed research approach is required to take into account these complexities. To generate such an approach, we review two theories from the social sciences: Activity Theory and Knotworking. Using these perspectives, we propose that research into interprofessional communication and medical error can develop better understandings of (1) how and why medical errors are generated and (2) how and why gaps in team defenses occur. Such complexities will have to be investigated if students and practicing clinicians are to be adequately prepared to work safely in interprofessional teams.

  1. Sharing data is a shared responsibility: Commentary on: "The essential nature of sharing in science".

    PubMed

    Giffels, Joe

    2010-12-01

    Research data should be made readily available. A robust data-sharing plan, led by the principal investigator of the research project, requires considerable administrative and operational resources. Because external support for data sharing is minimal, principal investigators should consider engaging existing institutional information experts, such as librarians and information systems personnel, to participate in data-sharing efforts.

  2. Shared decision-making in medication management: development of a training intervention

    PubMed Central

    Stead, Ute; Morant, Nicola; Ramon, Shulamit

    2017-01-01

    Shared decision-making is a collaborative process in which clinicians and patients make treatment decisions together. Although it is considered essential to patient-centred care, the adoption of shared decision-making into routine clinical practice has been slow, and there is a need to increase implementation. This paper describes the development and delivery of a training intervention to promote shared decision-making in medication management in mental health as part of the Shared Involvement in Medication Management Education (ShIMME) project. Three stakeholder groups (service users, care coordinators and psychiatrists) received training in shared decision-making, and their feedback was evaluated. The programme was mostly well received, with all groups rating interaction with peers as the best aspect of the training. This small-scale pilot shows that it is feasible to deliver training in shared decision-making to several key stakeholders. Larger studies will be required to assess the effectiveness of such training. PMID:28811918

  3. Shared decision-making in medication management: development of a training intervention.

    PubMed

    Stead, Ute; Morant, Nicola; Ramon, Shulamit

    2017-08-01

    Shared decision-making is a collaborative process in which clinicians and patients make treatment decisions together. Although it is considered essential to patient-centred care, the adoption of shared decision-making into routine clinical practice has been slow, and there is a need to increase implementation. This paper describes the development and delivery of a training intervention to promote shared decision-making in medication management in mental health as part of the Shared Involvement in Medication Management Education (ShIMME) project. Three stakeholder groups (service users, care coordinators and psychiatrists) received training in shared decision-making, and their feedback was evaluated. The programme was mostly well received, with all groups rating interaction with peers as the best aspect of the training. This small-scale pilot shows that it is feasible to deliver training in shared decision-making to several key stakeholders. Larger studies will be required to assess the effectiveness of such training.

  4. Price elasticity and medication use: cost sharing across multiple clinical conditions.

    PubMed

    Gatwood, Justin; Gibson, Teresa B; Chernew, Michael E; Farr, Amanda M; Vogtmann, Emily; Fendrick, A Mark

    2014-11-01

    To address the impact that out-of-pocket prices may have on medication use, it is vital to understand how the demand for medications may be affected when patients are faced with changes in the price to acquire treatment and how price responsiveness differs across medication classes.  To examine the impact of cost-sharing changes on the demand for 8 classes of prescription medications. This was a retrospective database analysis of 11,550,363 commercially insured enrollees within the 2005-2009 MarketScan Database. Patient cost sharing, expressed as a price index for each medication class, was the main explanatory variable to examine the price elasticity of demand. Negative binomial fixed effect models were estimated to examine medication fills. The elasticity estimates reflect how use changes over time as a function of changes in copayments. Model estimates revealed that price elasticity of demand ranged from -0.015 to -0.157 within the 8 categories of medications (P  less than  0.01 for 7 of 8 categories). The price elasticity of demand for smoking deterrents was largest (-0.157, P  less than  0.0001), while demand for antiplatelet agents was not responsive to price (P  greater than 0.05). The price elasticity of demand varied considerably by medication class, suggesting that the influence of cost sharing on medication use may be related to characteristics inherent to each medication class or underlying condition.

  5. Medication Errors in Patients with Enteral Feeding Tubes in the Intensive Care Unit.

    PubMed

    Sohrevardi, Seyed Mojtaba; Jarahzadeh, Mohammad Hossein; Mirzaei, Ehsan; Mirjalili, Mahtabalsadat; Tafti, Arefeh Dehghani; Heydari, Behrooz

    2017-01-01

    Most patients admitted to Intensive Care Units (ICU) have problems in using oral medication or ingesting solid forms of drugs. Selecting the most suitable dosage form in such patients is a challenge. The current study was conducted to assess the frequency and types of errors of oral medication administration in patients with enteral feeding tubes or suffering swallowing problems. A cross-sectional study was performed in the ICU of Shahid Sadoughi Hospital, Yazd, Iran. Patients were assessed for the incidence and types of medication errors occurring in the process of preparation and administration of oral medicines. Ninety-four patients were involved in this study and 10,250 administrations were observed. Totally, 4753 errors occurred among the studied patients. The most commonly used drugs were pantoprazole tablet, piracetam syrup, and losartan tablet. A total of 128 different types of drugs and nine different oral pharmaceutical preparations were prescribed for the patients. Forty-one (35.34%) out of 116 different solid drugs (except effervescent tablets and powders) could be substituted by liquid or injectable forms. The most common error was the wrong time of administration. Errors of wrong dose preparation and administration accounted for 24.04% and 25.31% of all errors, respectively. In this study, at least three-fourth of the patients experienced medication errors. The occurrence of these errors can greatly impair the quality of the patients' pharmacotherapy, and more attention should be paid to this issue.

  6. Frequency and Severity of Parenteral Nutrition Medication Errors at a Large Children's Hospital After Implementation of Electronic Ordering and Compounding.

    PubMed

    MacKay, Mark; Anderson, Collin; Boehme, Sabrina; Cash, Jared; Zobell, Jeffery

    2016-04-01

    The Institute for Safe Medication Practices has stated that parenteral nutrition (PN) is considered a high-risk medication and has the potential of causing harm. Three organizations--American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.), American Society of Health-System Pharmacists, and National Advisory Group--have published guidelines for ordering, transcribing, compounding and administering PN. These national organizations have published data on compliance to the guidelines and the risk of errors. The purpose of this article is to compare total compliance with ordering, transcription, compounding, administration, and error rate with a large pediatric institution. A computerized prescriber order entry (CPOE) program was developed that incorporates dosing with soft and hard stop recommendations and simultaneously eliminating the need for paper transcription. A CPOE team prioritized and identified issues, then developed solutions and integrated innovative CPOE and automated compounding device (ACD) technologies and practice changes to minimize opportunities for medication errors in PN prescription, transcription, preparation, and administration. Thirty developmental processes were identified and integrated in the CPOE program, resulting in practices that were compliant with A.S.P.E.N. safety consensus recommendations. Data from 7 years of development and implementation were analyzed and compared with published literature comparing error, harm rates, and cost reductions to determine if our process showed lower error rates compared with national outcomes. The CPOE program developed was in total compliance with the A.S.P.E.N. guidelines for PN. The frequency of PN medication errors at our hospital over the 7 years was 230 errors/84,503 PN prescriptions, or 0.27% compared with national data that determined that 74 of 4730 (1.6%) of prescriptions over 1.5 years were associated with a medication error. Errors were categorized by steps in the PN process

  7. Searching for the Final Answer: Factors Contributing to Medication Administration Errors.

    ERIC Educational Resources Information Center

    Pape, Tess M.

    2001-01-01

    Causal factors contributing to errors in medication administration should be thoroughly investigated, focusing on systems rather than individual nurses. Unless systemic causes are addressed, many errors will go unreported for fear of reprisal. (Contains 42 references.) (SK)

  8. Color-Coded Prefilled Medication Syringes Decrease Time to Delivery and Dosing Error in Simulated Emergency Department Pediatric Resuscitations.

    PubMed

    Moreira, Maria E; Hernandez, Caleb; Stevens, Allen D; Jones, Seth; Sande, Margaret; Blumen, Jason R; Hopkins, Emily; Bakes, Katherine; Haukoos, Jason S

    2015-08-01

    The Institute of Medicine has called on the US health care system to identify and reduce medical errors. Unfortunately, medication dosing errors remain commonplace and may result in potentially life-threatening outcomes, particularly for pediatric patients when dosing requires weight-based calculations. Novel medication delivery systems that may reduce dosing errors resonate with national health care priorities. Our goal was to evaluate novel, prefilled medication syringes labeled with color-coded volumes corresponding to the weight-based dosing of the Broselow Tape, compared with conventional medication administration, in simulated pediatric emergency department (ED) resuscitation scenarios. We performed a prospective, block-randomized, crossover study in which 10 emergency physician and nurse teams managed 2 simulated pediatric arrest scenarios in situ, using either prefilled, color-coded syringes (intervention) or conventional drug administration methods (control). The ED resuscitation room and the intravenous medication port were video recorded during the simulations. Data were extracted from video review by blinded, independent reviewers. Median time to delivery of all doses for the conventional and color-coded delivery groups was 47 seconds (95% confidence interval [CI] 40 to 53 seconds) and 19 seconds (95% CI 18 to 20 seconds), respectively (difference=27 seconds; 95% CI 21 to 33 seconds). With the conventional method, 118 doses were administered, with 20 critical dosing errors (17%); with the color-coded method, 123 doses were administered, with 0 critical dosing errors (difference=17%; 95% CI 4% to 30%). A novel color-coded, prefilled syringe decreased time to medication administration and significantly reduced critical dosing errors by emergency physician and nurse teams during simulated pediatric ED resuscitations. Copyright © 2015 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

  9. Female residents experiencing medical errors in general internal medicine: a qualitative study.

    PubMed

    Mankaka, Cindy Ottiger; Waeber, Gérard; Gachoud, David

    2014-07-10

    Doctors, especially doctors-in-training such as residents, make errors. They have to face the consequences even though today's approach to errors emphasizes systemic factors. Doctors' individual characteristics play a role in how medical errors are experienced and dealt with. The role of gender has previously been examined in a few quantitative studies that have yielded conflicting results. In the present study, we sought to qualitatively explore the experience of female residents with respect to medical errors. In particular, we explored the coping mechanisms displayed after an error. This study took place in the internal medicine department of a Swiss university hospital. Within a phenomenological framework, semi-structured interviews were conducted with eight female residents in general internal medicine. All interviews were audiotaped, fully transcribed, and thereafter analyzed. Seven main themes emerged from the interviews: (1) A perception that there is an insufficient culture of safety and error; (2) The perceived main causes of errors, which included fatigue, work overload, inadequate level of competences in relation to assigned tasks, and dysfunctional communication; (3) Negative feelings in response to errors, which included different forms of psychological distress; (4) Variable attitudes of the hierarchy toward residents involved in an error; (5) Talking about the error, as the core coping mechanism; (6) Defensive and constructive attitudes toward one's own errors; and (7) Gender-specific experiences in relation to errors. Such experiences consisted in (a) perceptions that male residents were more confident and therefore less affected by errors than their female counterparts and (b) perceptions that sexist attitudes among male supervisors can occur and worsen an already painful experience. This study offers an in-depth account of how female residents specifically experience and cope with medical errors. Our interviews with female residents convey the

  10. Adherence to the Australian National Inpatient Medication Chart: the efficacy of a uniform national drug chart on improving prescription error.

    PubMed

    Atik, Alp

    2013-10-01

    In 2006, the National Inpatient Medication Chart (NIMC) was introduced as a uniform medication chart in Australian public hospitals with the aim of reducing prescription error. The rate of regular medication prescription error in the NIMC was assessed. Data was collected using the NIMC Audit Tool and analyzed with respect to causes of error per medication prescription and per medication chart. The following prescription requirements were assessed: date, generic drug name, route of administration, dose, frequency, administration time, indication, signature, name and contact details. A total of 1877 medication prescriptions were reviewed. 1653 prescriptions (88.07%) had no contact number, 1630 (86.84%) did not have an indication, 1230 and 675 (35.96%) used a drug's trade name. Within 261 medication charts, all had at least one entry, which did not include an indication, 258 (98.85%) had at least one entry, which did not have a contact number and 200 (76.63%) had at least one entry, which used a trade name. The introduction of a uniform national medication chart is a positive step, but more needs to be done to address the root causes of prescription error. © 2012 John Wiley & Sons Ltd.

  11. Examining Data Repository Guidelines for Qualitative Data Sharing.

    PubMed

    Antes, Alison L; Walsh, Heidi A; Strait, Michelle; Hudson-Vitale, Cynthia R; DuBois, James M

    2018-02-01

    Qualitative data provide rich information on research questions in diverse fields. Recent calls for increased transparency and openness in research emphasize data sharing. However, qualitative data sharing has yet to become the norm internationally and is particularly uncommon in the United States. Guidance for archiving and secondary use of qualitative data is required for progress in this regard. In this study, we review the benefits and concerns associated with qualitative data sharing and then describe the results of a content analysis of guidelines from international repositories that archive qualitative data. A minority of repositories provide qualitative data sharing guidelines. Of the guidelines available, there is substantial variation in whether specific topics are addressed. Some topics, such as removing direct identifiers, are consistently addressed, while others, such as providing an anonymization log, are not. We discuss the implications of our study for education, best practices, and future research.

  12. Shared decision making in senior medical students: results from a national survey.

    PubMed

    Zeballos-Palacios, Claudia; Quispe, Renato; Mongilardi, Nicole; Diaz-Arocutipa, Carlos; Mendez-Davalos, Carlos; Lizarraga, Natalia; Paz, Aldo; Montori, Victor M; Malaga, German

    2015-05-01

    To explore perceptions and experiences of Peruvian medical students about observed, preferred, and feasible decision-making approaches. We surveyed senior medical students from 19 teaching hospitals in 4 major cities in Peru. The self-administered questionnaire collected demographic information, current approach, exposure to role models for and training in shared decision making, and perceptions of the pertinence and feasibility of the different decision-making approaches in general as well as in challenging scenarios. A total of 327 senior medical students (51% female) were included. The mean age was 25 years. Among all respondents, 2% reported receiving both theoretical and practical training in shared decision making. While 46% of students identified their current decision-making approach as clinician-as-perfect-agent, 50% of students identified their teachers with the paternalistic approach. Remarkably, 53% of students thought shared decision making should be the preferred approach and 50% considered it feasible in Peru. Among the 10 challenging scenarios, shared decision making reached a plurality (40%) in only one scenario (terminally ill patients). Despite limited exposure and training, Peruvian medical students aspire to practice shared decision making but their current attitude reflects the less participatory approaches they see role modeled by their teachers. © The Author(s) 2015.

  13. An improved reversible data hiding algorithm based on modification of prediction errors

    NASA Astrophysics Data System (ADS)

    Jafar, Iyad F.; Hiary, Sawsan A.; Darabkh, Khalid A.

    2014-04-01

    Reversible data hiding algorithms are concerned with the ability of hiding data and recovering the original digital image upon extraction. This issue is of interest in medical and military imaging applications. One particular class of such algorithms relies on the idea of histogram shifting of prediction errors. In this paper, we propose an improvement over one popular algorithm in this class. The improvement is achieved by employing a different predictor, the use of more bins in the prediction error histogram in addition to multilevel embedding. The proposed extension shows significant improvement over the original algorithm and its variations.

  14. Patient consent to publication and data sharing in industry and NIH-funded clinical trials.

    PubMed

    Spence, O'Mareen; Onwuchekwa Uba, Richie; Shin, Seongbin; Doshi, Peter

    2018-05-03

    Participants are recruited into clinical trials under the assumption that the research will contribute to medical knowledge. Therefore, non-publication trials-and, more recently, lack of data sharing-are widely considered to violate the trust of trial participants. Existing practices regarding patient consent to publication and data sharing have not been evaluated. Analyzing informed consent forms (ICFs), we studied what trial participants were told regarding investigators' intention to contribute to medical knowledge, publish trial results, and share de-identified trial data. We obtained 98 ICFs of industry-funded pre-marketing trials for all (17) antibiotics approved by the European Medicines Agency and 46 ICFs of publicly funded trials from the National Heart, Lung and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) data repository. Three authors independently reviewed ICFs to identify and extract what was stated or implied regarding: (1) publication of results; (2) sharing de-identified data; (3) data ownership; (4) confidentiality of identifiable data; and (5) whether the trial will produce knowledge that offers public benefit. Consensus was obtained from the two reviewers with the greatest overall agreement on all five measures. Disagreements were resolved through discussion among all authors. Four (3%) trials indicated a commitment to publish trial results; 140 (97%) did not commit to publishing trial results; six (4%) indicated a commitment to share de-identified data with third party researchers. Commitments to share were more common in publicly funded trials than industry-funded trials (7% vs 3%). A total of 103 (72%) ICFs indicated the trials will or may produce knowledge that offers public benefits, while 131 (91%) ICFs left unstated who "owned" trial data; of those with statements, the sponsor always claimed ownership. Patient confidentiality was guaranteed in 137 (95%) trials. Our results suggest that

  15. Variability in Threshold for Medication Error Reporting Between Physicians, Nurses, Pharmacists, and Families.

    PubMed

    Keefer, Patricia; Kidwell, Kelley; Lengyel, Candice; Warrier, Kavita; Wagner, Deborah

    2017-01-01

    Voluntary medication error reporting is an imperfect resource used to improve the quality of medication administration. It requires judgment by front-line staff to determine how to report enough to identify opportunities to improve patients' safety but not jeopardize that safety by creating a culture of "report fatigue." This study aims to provide information on interpretability of medication error and the variability between the subgroups of caregivers in the hospital setting. Survey participants included nursing, physician (trainee and graduated), patient/families, pharmacist across a large academic health system, including an attached free-standing pediatric hospital. Demographics and survey questions were collected and analyzed using Fischer's exact testing with SAS v9.3. Statistically significant variability existed between the four groups for a majority of the questions. This included all cases designated as administration errors and many, but not all, cases of prescribing events. Commentary provided in the free-text portion of the survey was sub-analyzed and found to be associated with medication allergy reporting and lack of education surrounding report characteristics. There is significant variability in the threshold to report specific medication errors in the hospital setting. More work needs to be done to further improve the education surrounding error reporting in hospitals for all noted subgroups. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  16. Data Sharing: Convert Challenges into Opportunities.

    PubMed

    Figueiredo, Ana Sofia

    2017-01-01

    Initiatives for sharing research data are opportunities to increase the pace of knowledge discovery and scientific progress. The reuse of research data has the potential to avoid the duplication of data sets and to bring new views from multiple analysis of the same data set. For example, the study of genomic variations associated with cancer profits from the universal collection of such data and helps in selecting the most appropriate therapy for a specific patient. However, data sharing poses challenges to the scientific community. These challenges are of ethical, cultural, legal, financial, or technical nature. This article reviews the impact that data sharing has in science and society and presents guidelines to improve the efficient sharing of research data.

  17. Shared leadership in a medical practice: keys to success.

    PubMed

    Daiker, Barbara L

    2009-01-01

    Medical practices are in a complex industry and require the expertise of both physician and business leaders to be successful. Sharing the leadership between these two professionals brings with it challenges that are best met if the environment is supportive. This support comes in the form of external aspects such as selection, role definition, organizational hierarchy, time, and process. Critical to shared leadership is communication, both frequency and quality. Conflicts are likely to occur, and how they are resolved is what determines the strength of a shared governance relationship. Reality is that finding the balance in shared governance is diffcult, but with effort and commitment, it can provide the organization with the performance it hopes to achieve.

  18. IMPACT Observatory: tracking the evolution of clinical trial data sharing and research integrity.

    PubMed

    Krleža-Jerić, Karmela; Gabelica, Mirko; Banzi, Rita; Martinić, Marina Krnić; Pulido, Bibiana; Mahmić-Kaknjo, Mersiha; Reveiz, Ludovic; Šimić, Josip; Utrobičić, Ana; Hrgović, Irena

    2016-10-15

    The opening of research data is emerging thanks to the increasing possibilities of digital technology. The opening of clinical trial (CT) data is a part of this process, expected to have positive scientific, ethical, health, and economic impacts thus contributing to research integrity. The January 2016 proposal by the International Council of Medical Journal Editors triggered ample discussion about CT data sharing and reconfirmed the need for an ongoing assessment of its dynamics. The IMProving Access to Clinical Trials data (IMPACT) Observatory aims to play such a role, and assess the data sharing culture, policies, and practices of key players, the impact of their interventions on CTs, and contribute to a transformation of research. The objective of this paper is to present the IMPACT Observatory as well as share some of its preliminary findings. Methods include a scoping study of research, surveys, interviews, and an environmental scan of research data repositories. Our preliminary findings indicate that although opening of CT data has not yet been achieved, its evolution is encouraging. Initiatives by key players contribute to increasing of CT data sharing, and many barriers are shrinking or disappearing. The major barrier is the lack of data sharing standards, from preparing data for public sharing to its curatorship, findability and access. However, experiences accumulated by sharing CT data according to "upon request" or "open" mechanisms could inform the development of such standards. The Vivli, CORBEL-ECRIN and Open Trials projects are currently working in this direction.

  19. Medical Data Management in Time-Sharing: Findings of the DIRAC Project.

    ERIC Educational Resources Information Center

    Ludwig, Herbert; Vallee, Jacques

    In terms of examples drawn from clinical and research data files, one of the objectives of this study is to illustrate several factors that have combined to delay the implementation of medical data bases. A primary factor has been inherent in the design of computer software. The languages currently on the market are procedural in nature: they…

  20. Data Sharing Interviews with Crop Sciences Faculty: Why They Share Data and How the Library Can Help

    ERIC Educational Resources Information Center

    Williams, Sarah C.

    2013-01-01

    This study was designed to generate a deeper understanding of data sharing by targeting faculty members who had already made data publicly available. During interviews, crop scientists at the University of Illinois at Urbana-Champaign were asked why they decided to share data, why they chose a data sharing method (e. g., supplementary file,…

  1. [Tracing the map of medication errors outside the hospital environment in the Madrid Community].

    PubMed

    Taravilla-Cerdán, Belén; Larrubia-Muñoz, Olga; de la Corte-García, María; Cruz-Martos, Encarnación

    2011-12-01

    Preparation of a map of medication errors reported by health professionals outside hospitals within the framework of Medication Errors Reporting for the Community of Madrid during the period 2008-2009. Retrospective observational study. Notification database of medication errors in the Community of Madrid. Notifications sent to the web page: Safe Use of Medicines and Health Products of the Community of Madrid. Information on the originator of the report, date of incident, shift, type of error and causes, outcome, patient characteristics, stage, place where it was produced and detected, if the medication was administered, lot number, expiry date and the general nature of the drug and a brief description of the incident. There were 5470 medication errors analysed, of which 3412 came from outside hospitals (62%), occurring mainly in the prescription stage (56.92%) and being more reported pharmacists. No harm was done in 92.9% of cases, but there was harm in 4.8% and in 2.3% there was an error that could not be followed up. The centralization of information has led to the confirmation that the prescription is a vulnerable point in the chain of drug therapy. Cleaning up prescription databases, preventing the marketing of commercial presentations that give rise to confusion, enhanced information to professionals and patients, and establishing standardised procedures, and avoiding the use of ambiguous prescriptions, illegible, or abbreviations, are useful strategies to try to minimise these errors. Copyright © 2010 Elsevier España, S.L. All rights reserved.

  2. The Effects of Bar-coding Technology on Medication Errors: A Systematic Literature Review.

    PubMed

    Hutton, Kevin; Ding, Qian; Wellman, Gregory

    2017-02-24

    The bar-coding technology adoptions have risen drastically in U.S. health systems in the past decade. However, few studies have addressed the impact of bar-coding technology with strong prospective methodologies and the research, which has been conducted from both in-pharmacy and bedside implementations. This systematic literature review is to examine the effectiveness of bar-coding technology on preventing medication errors and what types of medication errors may be prevented in the hospital setting. A systematic search of databases was performed from 1998 to December 2016. Studies measuring the effect of bar-coding technology on medication errors were included in a full-text review. Studies with the outcomes other than medication errors such as efficiency or workarounds were excluded. The outcomes were measured and findings were summarized for each retained study. A total of 2603 articles were initially identified and 10 studies, which used prospective before-and-after study design, were fully reviewed in this article. Of the 10 included studies, 9 took place in the United States, whereas the remaining was conducted in the United Kingdom. One research article focused on bar-coding implementation in a pharmacy setting, whereas the other 9 focused on bar coding within patient care areas. All 10 studies showed overall positive effects associated with bar-coding implementation. The results of this review show that bar-coding technology may reduce medication errors in hospital settings, particularly on preventing targeted wrong dose, wrong drug, wrong patient, unauthorized drug, and wrong route errors.

  3. An Experimental Study of Medical Error Explanations: Do Apology, Empathy, Corrective Action, and Compensation Alter Intentions and Attitudes?

    PubMed

    Nazione, Samantha; Pace, Kristin

    2015-01-01

    Medical malpractice lawsuits are a growing problem in the United States, and there is much controversy regarding how to best address this problem. The medical error disclosure framework suggests that apologizing, expressing empathy, engaging in corrective action, and offering compensation after a medical error may improve the provider-patient relationship and ultimately help reduce the number of medical malpractice lawsuits patients bring to medical providers. This study provides an experimental examination of the medical error disclosure framework and its effect on amount of money requested in a lawsuit, negative intentions, attitudes, and anger toward the provider after a medical error. Results suggest empathy may play a large role in providing positive outcomes after a medical error.

  4. Data Sharing: Convert Challenges into Opportunities

    PubMed Central

    Figueiredo, Ana Sofia

    2017-01-01

    Initiatives for sharing research data are opportunities to increase the pace of knowledge discovery and scientific progress. The reuse of research data has the potential to avoid the duplication of data sets and to bring new views from multiple analysis of the same data set. For example, the study of genomic variations associated with cancer profits from the universal collection of such data and helps in selecting the most appropriate therapy for a specific patient. However, data sharing poses challenges to the scientific community. These challenges are of ethical, cultural, legal, financial, or technical nature. This article reviews the impact that data sharing has in science and society and presents guidelines to improve the efficient sharing of research data. PMID:29270401

  5. Bioethics for clinicians: 23. Disclosure of medical error

    PubMed Central

    Hébert, Philip C.; Levin, Alex V.; Robertson, Gerald

    2001-01-01

    ADVERSE EVENTS AND MEDICAL ERRORS ARE NOT UNCOMMON. In this article we review the literature on such events and discuss the ethical, legal and practical aspects of whether and how they should be disclosed to patients. Ethics, professional policy and the law, as well as the relevant empirical literature, suggest that timely and candid disclosure should be standard practice. Candour about error may lessen, rather than increase, the medicolegal liability of the health care professionals and may help to alleviate the patient's concerns. Guidelines for disclosure to patients, and their families if necessary, are proposed. PMID:11233873

  6. Data Sharing and Cardiology: Platforms and Possibilities.

    PubMed

    Dey, Pranammya; Ross, Joseph S; Ritchie, Jessica D; Desai, Nihar R; Bhavnani, Sanjeev P; Krumholz, Harlan M

    2017-12-19

    Sharing deidentified patient-level research data presents immense opportunities to all stakeholders involved in cardiology research and practice. Sharing data encourages the use of existing data for knowledge generation to improve practice, while also allowing for validation of disseminated research. In this review, we discuss key initiatives and platforms that have helped to accelerate progress toward greater sharing of data. These efforts are being prompted by government, universities, philanthropic sponsors of research, major industry players, and collaborations among some of these entities. As data sharing becomes a more common expectation, policy changes will be required to encourage and assist data generators with the process of sharing the data they create. Patients also will need access to their own data and to be empowered to share those data with researchers. Although medicine still lags behind other fields in achieving data sharing's full potential, cardiology research has the potential to lead the way. Copyright © 2017 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

  7. Comparison of consumers’ views on electronic data sharing for healthcare and research

    PubMed Central

    Joseph, Jill G; Ohno-Machado, Lucila

    2015-01-01

    New models of healthcare delivery such as accountable care organizations and patient-centered medical homes seek to improve quality, access, and cost. They rely on a robust, secure technology infrastructure provided by health information exchanges (HIEs) and distributed research networks and the willingness of patients to share their data. There are few large, in-depth studies of US consumers’ views on privacy, security, and consent in electronic data sharing for healthcare and research together. Objective This paper addresses this gap, reporting on a survey which asks about California consumers’ views of data sharing for healthcare and research together. Materials and Methods The survey conducted was a representative, random-digit dial telephone survey of 800 Californians, performed in Spanish and English. Results There is a great deal of concern that HIEs will worsen privacy (40.3%) and security (42.5%). Consumers are in favor of electronic data sharing but elements of transparency are important: individual control, who has access, and the purpose for use of data. Respondents were more likely to agree to share deidentified information for research than to share identified information for healthcare (76.2% vs 57.3%, p < .001). Discussion While consumers show willingness to share health information electronically, they value individual control and privacy. Responsiveness to these needs, rather than mere reliance on Health Insurance Portability and Accountability Act (HIPAA), may improve support of data networks. Conclusion Responsiveness to the public’s concerns regarding their health information is a pre-requisite for patient-centeredness. This is one of the first in-depth studies of attitudes about electronic data sharing that compares attitudes of the same individual towards healthcare and research. PMID:25829461

  8. Facilitating Secure Sharing of Personal Health Data in the Cloud

    PubMed Central

    Nepal, Surya; Glozier, Nick

    2016-01-01

    Background Internet-based applications are providing new ways of promoting health and reducing the cost of care. Although data can be kept encrypted in servers, the user does not have the ability to decide whom the data are shared with. Technically this is linked to the problem of who owns the data encryption keys required to decrypt the data. Currently, cloud service providers, rather than users, have full rights to the key. In practical terms this makes the users lose full control over their data. Trust and uptake of these applications can be increased by allowing patients to feel in control of their data, generally stored in cloud-based services. Objective This paper addresses this security challenge by providing the user a way of controlling encryption keys independently of the cloud service provider. We provide a secure and usable system that enables a patient to share health information with doctors and specialists. Methods We contribute a secure protocol for patients to share their data with doctors and others on the cloud while keeping complete ownership. We developed a simple, stereotypical health application and carried out security tests, performance tests, and usability tests with both students and doctors (N=15). Results We developed the health application as an app for Android mobile phones. We carried out the usability tests on potential participants and medical professionals. Of 20 participants, 14 (70%) either agreed or strongly agreed that they felt safer using our system. Using mixed methods, we show that participants agreed that privacy and security of health data are important and that our system addresses these issues. Conclusions We presented a security protocol that enables patients to securely share their eHealth data with doctors and nurses and developed a secure and usable system that enables patients to share mental health information with doctors. PMID:27234691

  9. Facilitating Secure Sharing of Personal Health Data in the Cloud.

    PubMed

    Thilakanathan, Danan; Calvo, Rafael A; Chen, Shiping; Nepal, Surya; Glozier, Nick

    2016-05-27

    Internet-based applications are providing new ways of promoting health and reducing the cost of care. Although data can be kept encrypted in servers, the user does not have the ability to decide whom the data are shared with. Technically this is linked to the problem of who owns the data encryption keys required to decrypt the data. Currently, cloud service providers, rather than users, have full rights to the key. In practical terms this makes the users lose full control over their data. Trust and uptake of these applications can be increased by allowing patients to feel in control of their data, generally stored in cloud-based services. This paper addresses this security challenge by providing the user a way of controlling encryption keys independently of the cloud service provider. We provide a secure and usable system that enables a patient to share health information with doctors and specialists. We contribute a secure protocol for patients to share their data with doctors and others on the cloud while keeping complete ownership. We developed a simple, stereotypical health application and carried out security tests, performance tests, and usability tests with both students and doctors (N=15). We developed the health application as an app for Android mobile phones. We carried out the usability tests on potential participants and medical professionals. Of 20 participants, 14 (70%) either agreed or strongly agreed that they felt safer using our system. Using mixed methods, we show that participants agreed that privacy and security of health data are important and that our system addresses these issues. We presented a security protocol that enables patients to securely share their eHealth data with doctors and nurses and developed a secure and usable system that enables patients to share mental health information with doctors.

  10. Use of attribute association error probability estimates to evaluate quality of medical record geocodes.

    PubMed

    Klaus, Christian A; Carrasco, Luis E; Goldberg, Daniel W; Henry, Kevin A; Sherman, Recinda L

    2015-09-15

    The utility of patient attributes associated with the spatiotemporal analysis of medical records lies not just in their values but also the strength of association between them. Estimating the extent to which a hierarchy of conditional probability exists between patient attribute associations such as patient identifying fields, patient and date of diagnosis, and patient and address at diagnosis is fundamental to estimating the strength of association between patient and geocode, and patient and enumeration area. We propose a hierarchy for the attribute associations within medical records that enable spatiotemporal relationships. We also present a set of metrics that store attribute association error probability (AAEP), to estimate error probability for all attribute associations upon which certainty in a patient geocode depends. A series of experiments were undertaken to understand how error estimation could be operationalized within health data and what levels of AAEP in real data reveal themselves using these methods. Specifically, the goals of this evaluation were to (1) assess if the concept of our error assessment techniques could be implemented by a population-based cancer registry; (2) apply the techniques to real data from a large health data agency and characterize the observed levels of AAEP; and (3) demonstrate how detected AAEP might impact spatiotemporal health research. We present an evaluation of AAEP metrics generated for cancer cases in a North Carolina county. We show examples of how we estimated AAEP for selected attribute associations and circumstances. We demonstrate the distribution of AAEP in our case sample across attribute associations, and demonstrate ways in which disease registry specific operations influence the prevalence of AAEP estimates for specific attribute associations. The effort to detect and store estimates of AAEP is worthwhile because of the increase in confidence fostered by the attribute association level approach to the

  11. Using medical history embedded in biometrics medical card for user identity authentication: data representation by AVT hierarchical data tree.

    PubMed

    Fong, Simon; Zhuang, Yan

    2012-01-01

    User authentication has been widely used by biometric applications that work on unique bodily features, such as fingerprints, retina scan, and palm vessels recognition. This paper proposes a novel concept of biometric authentication by exploiting a user's medical history. Although medical history may not be absolutely unique to every individual person, the chances of having two persons who share an exactly identical trail of medical and prognosis history are slim. Therefore, in addition to common biometric identification methods, medical history can be used as ingredients for generating Q&A challenges upon user authentication. This concept is motivated by a recent advancement on smart-card technology that future identity cards are able to carry patents' medical history like a mobile database. Privacy, however, may be a concern when medical history is used for authentication. Therefore in this paper, a new method is proposed for abstracting the medical data by using attribute value taxonomies, into a hierarchical data tree (h-Data). Questions can be abstracted to various level of resolution (hence sensitivity of private data) for use in the authentication process. The method is described and a case study is given in this paper.

  12. Nurses' Perceived Skills and Attitudes About Updated Safety Concepts: Impact on Medication Administration Errors and Practices.

    PubMed

    Armstrong, Gail E; Dietrich, Mary; Norman, Linda; Barnsteiner, Jane; Mion, Lorraine

    Approximately a quarter of medication errors in the hospital occur at the administration phase, which is solely under the purview of the bedside nurse. The purpose of this study was to assess bedside nurses' perceived skills and attitudes about updated safety concepts and examine their impact on medication administration errors and adherence to safe medication administration practices. Findings support the premise that medication administration errors result from an interplay among system-, unit-, and nurse-level factors.

  13. Preventing medical errors by designing benign failures.

    PubMed

    Grout, John R

    2003-07-01

    One way to successfully reduce medical errors is to design health care systems that are more resistant to the tendencies of human beings to err. One interdisciplinary approach entails creating design changes, mitigating human errors, and making human error irrelevant to outcomes. This approach is intended to facilitate the creation of benign failures, which have been called mistake-proofing devices and forcing functions elsewhere. USING FAULT TREES TO DESIGN FORCING FUNCTIONS: A fault tree is a graphical tool used to understand the relationships that either directly cause or contribute to the cause of a particular failure. A careful analysis of a fault tree enables the analyst to anticipate how the process will behave after the change. EXAMPLE OF AN APPLICATION: A scenario in which a patient is scalded while bathing can serve as an example of how multiple fault trees can be used to design forcing functions. The first fault tree shows the undesirable event--patient scalded while bathing. The second fault tree has a benign event--no water. Adding a scald valve changes the outcome from the undesirable event ("patient scalded while bathing") to the benign event ("no water") Analysis of fault trees does not ensure or guarantee that changes necessary to eliminate error actually occur. Most mistake-proofing is used to prevent simple errors and to create well-defended processes, but complex errors can also result. The utilization of mistake-proofing or forcing functions can be thought of as changing the logic of a process. Errors that formerly caused undesirable failures can be converted into the causes of benign failures. The use of fault trees can provide a variety of insights into the design of forcing functions that will improve patient safety.

  14. IMPACT Observatory: tracking the evolution of clinical trial data sharing and research integrity

    PubMed Central

    Krleža-Jerić, Karmela; Gabelica, Mirko; Banzi, Rita; Martinić, Marina Krnić; Pulido, Bibiana; Mahmić-Kaknjo, Mersiha; Reveiz, Ludovic; Šimić, Josip; Utrobičić, Ana; Hrgović, Irena

    2016-01-01

    Introduction The opening of research data is emerging thanks to the increasing possibilities of digital technology. The opening of clinical trial (CT) data is a part of this process, expected to have positive scientific, ethical, health, and economic impacts thus contributing to research integrity. The January 2016 proposal by the International Council of Medical Journal Editors triggered ample discussion about CT data sharing and reconfirmed the need for an ongoing assessment of its dynamics. The IMProving Access to Clinical Trials data (IMPACT) Observatory aims to play such a role, and assess the data sharing culture, policies, and practices of key players, the impact of their interventions on CTs, and contribute to a transformation of research. The objective of this paper is to present the IMPACT Observatory as well as share some of its preliminary findings. Materials and methods Methods include a scoping study of research, surveys, interviews, and an environmental scan of research data repositories. Results Our preliminary findings indicate that although opening of CT data has not yet been achieved, its evolution is encouraging. Initiatives by key players contribute to increasing of CT data sharing, and many barriers are shrinking or disappearing. Conclusions The major barrier is the lack of data sharing standards, from preparing data for public sharing to its curatorship, findability and access. However, experiences accumulated by sharing CT data according to “upon request” or “open” mechanisms could inform the development of such standards. The Vivli, CORBEL-ECRIN and Open Trials projects are currently working in this direction. PMID:27812300

  15. Design and study of geosciences data share platform :platform framework, data interoperability, share approach

    NASA Astrophysics Data System (ADS)

    Lu, H.; Yi, D.

    2010-12-01

    The Deep Exploration is one of the important approaches to the Geoscience research. Since 1980s we had started it and achieved a lot of data. Researchers usually integrate both data of space exploration and deep exploration to study geological structures and represent the Earth’s subsurface, and analyze and explain on the base of integrated data. Due to the different exploration approach it results the heterogeneity of data, and therefore the data achievement is always of the import issue to make the researchers confused. The problem of data share and interaction has to be solved during the development of the SinoProbe research project. Through the research of domestic and overseas well-known exploration project and geosciences data platform, the subject explores the solution of data share and interaction. Based on SOA we present the deep exploration data share framework which comprises three level: data level is used for the solution of data store and the integration of the heterogeneous data; medial level provides the data service of geophysics, geochemistry, etc. by the means of Web service, and carry out kinds of application combination by the use of GIS middleware and Eclipse RCP; interaction level provides professional and non-professional customer the access to different accuracy data. The framework adopts GeoSciML data interaction approach. GeoSciML is a geosciences information markup language, as an application of the OpenGIS Consortium’s (OGC) Geography Markup Language (GML). It transfers heterogeneous data into one earth frame and implements inter-operation. We dissertate in this article the solution how to integrate the heterogeneous data and share the data in the project of SinoProbe.

  16. [Prevention of medication errors in healthcare transition of patients treated with apomorphine].

    PubMed

    Ucha Sanmartin, M; Martín Vila, A; López Vidal, C; Caaamaño Barreiro, M; Piñeiro Corrales, G

    2014-05-01

    The transition of patients between different levels of care process is a particular risk in the production of medication errors. The aim of this paper is to analyze the role of the pharmacist in preventing errors transition care to ensure a safe and cross pharmacotherapy of patients.Transversal, observational and descriptive study in a University Hospital that has a pharmacy service that integrates specialized inpatient care and health centers. Transition of care a patient treated with Apormorfina was analyzed to determine the keypoints of action of the pharmacist. Demographics, disease and medication history, and care transition episodes were collected through the pharmacy program and electronics history.The pharmacist did tasks adapting, reconciliation, management and reporting of medication to the health care team to prevent medication errors in care transition of patients treated with drugs requiring special handling .In conclusion, this work represents perfectly the key role of the pharmacist as coordinator of safe and transverse pharmacotherapy of patients. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  17. Challenges to complete and useful data sharing.

    PubMed

    Mbuagbaw, Lawrence; Foster, Gary; Cheng, Ji; Thabane, Lehana

    2017-02-14

    Data sharing from clinical trials is one way of promoting fair and transparent conduct of clinical trials. It would maximise the use of data and permit the exploration of additional hypotheses. On the other hand, the quality of secondary analyses cannot always be ascertained, and it may be unfair to investigators who have expended resources to collect data to bear the additional burden of sharing. As the discussion on the best modalities of sharing data evolves, some of the practical issues that may arise need to be addressed. In this paper, we discuss issues which impede the use of data even when sharing should be possible: (1) multicentre studies requiring consent from all the investigators in each centre; (2) remote access platforms with software limitations and Internet requirements; (3) on-site data analysis when data cannot be moved; (4) governing bodies for data generated in one jurisdiction and analysed in another; (5) using programmatic data collected as part of routine care; (6) data collected in multiple languages; (7) poor data quality. We believe these issues apply to all primary data and cause undue difficulties in conducting analysis even when there is some willingness to share. They can be avoided by anticipating the possibility of sharing any clinical data and pre-emptively removing or addressing restrictions that limit complete sharing. These issues should be part of the data sharing discussion.

  18. Preanalytical errors in medical laboratories: a review of the available methodologies of data collection and analysis.

    PubMed

    West, Jamie; Atherton, Jennifer; Costelloe, Seán J; Pourmahram, Ghazaleh; Stretton, Adam; Cornes, Michael

    2017-01-01

    Preanalytical errors have previously been shown to contribute a significant proportion of errors in laboratory processes and contribute to a number of patient safety risks. Accreditation against ISO 15189:2012 requires that laboratory Quality Management Systems consider the impact of preanalytical processes in areas such as the identification and control of non-conformances, continual improvement, internal audit and quality indicators. Previous studies have shown that there is a wide variation in the definition, repertoire and collection methods for preanalytical quality indicators. The International Federation of Clinical Chemistry Working Group on Laboratory Errors and Patient Safety has defined a number of quality indicators for the preanalytical stage, and the adoption of harmonized definitions will support interlaboratory comparisons and continual improvement. There are a variety of data collection methods, including audit, manual recording processes, incident reporting mechanisms and laboratory information systems. Quality management processes such as benchmarking, statistical process control, Pareto analysis and failure mode and effect analysis can be used to review data and should be incorporated into clinical governance mechanisms. In this paper, The Association for Clinical Biochemistry and Laboratory Medicine PreAnalytical Specialist Interest Group review the various data collection methods available. Our recommendation is the use of the laboratory information management systems as a recording mechanism for preanalytical errors as this provides the easiest and most standardized mechanism of data capture.

  19. ShareSync: A Solution for Deterministic Data Sharing over Ethernet

    NASA Technical Reports Server (NTRS)

    Dunn, Daniel J., II; Koons, William A.; Kennedy, Richard D.; Davis, Philip A.

    2007-01-01

    As part of upgrading the Contact Dynamics Simulation Laboratory (CDSL) at the NASA Marshall Space Flight Center (MSFC), a simple, cost effective method was needed to communicate data among the networked simulation machines and I/O controllers used to run the facility. To fill this need and similar applicable situations, a generic protocol was developed, called ShareSync. ShareSync is a lightweight, real-time, publish-subscribe Ethernet protocol for simple and deterministic data sharing across diverse machines and operating systems. ShareSync provides a simple Application Programming Interface (API) for simulation programmers to incorporate into their code. The protocol is compatible with virtually all Ethernet-capable machines, is flexible enough to support a variety of applications, is fast enough to provide soft real-time determinism, and is a low-cost resource for distributed simulation development, deployment, and maintenance. The first design cycle iteration of ShareSync has been completed, and the protocol has undergone several testing procedures including endurance and benchmarking tests and approaches the 2001ts data synchronization design goal for the CDSL.

  20. The relationship between external and local governance systems: the case of health care associated infections and medication errors in one NHS trust.

    PubMed

    Ramsay, Angus; Magnusson, Carin; Fulop, Naomi

    2010-12-01

    'Organisational governance'--the systems, processes, behaviours and cultures by which an organisation leads and controls its functions to achieve its objectives--is seen as an important influence on patient safety. The features of 'good' governance remain to be established, partly because the relationship between governance and safety requires more investigation. To describe external governance systems--for example, national targets and regulatory bodies--and an NHS Trust's formal governance systems for Health Care Associated Infections (HCAIs) and medication errors; to consider the relationships between these systems. External governance systems and formal internal governance systems for both medication errors and HCAIs were analysed based on documentary analysis and interviews with relevant hospital staff. Nationally, HCAIs appeared to be a higher priority than medication errors, reflected in national targets and the focus of regulatory bodies. Locally, HCAIs were found to be the focus of committees at all levels of the organisation and, unlike medication errors, a central component of the Trust's performance management system; medication errors were discussed in appropriate governance committees, but most governance of medication errors took place at divisional or ward level. The data suggest a relationship between national and local prioritisation of the safety issues examined: national targets on HCAIs influence the behaviour of regulators and professional organisations; and these, in turn, have a significant impact on Trust activity. A contributory factor might be that HCAIs are more amenable to measurement than medication errors, meaning HCAIs lend themselves better to target-setting.

  1. National Incidence of Medication Error in Surgical Patients Before and After Accreditation Council for Graduate Medical Education Duty-Hour Reform.

    PubMed

    Vadera, Sumeet; Griffith, Sandra D; Rosenbaum, Benjamin P; Chan, Alvin Y; Thompson, Nicolas R; Kshettry, Varun R; Kelly, Michael L; Weil, Robert J; Bingaman, William; Jehi, Lara

    2015-01-01

    The Accreditation Council for Graduate Medical Education (ACGME) established duty-hour regulations for accredited residency programs on July 1, 2003. It is unclear what changes occurred in the national incidence of medication errors in surgical patients before and after ACGME regulations. Patient and hospital characteristics for pre- and post-duty-hour reform were evaluated, comparing teaching and nonteaching hospitals. A difference-in-differences study design was used to assess the association between duty-hour reform and medication errors in teaching hospitals. We used the Nationwide Inpatient Sample database, which consists of approximately annual 20% stratified sample of all the United States nonfederal hospital inpatient admissions. A query of the database, including 4 years before (2000-2003) and 8 years after (2003-2011) the ACGME duty-hour reform of July 2003, was performed to extract surgical inpatient hospitalizations (N = 13,933,326). The years 2003 and 2004 were discarded in the analysis to allow for a wash-out period during duty-hour reform (though we still provide medication error rates). The Nationwide Inpatient Sample estimated the total national surgical inpatients (N = 135,092,013) in nonfederal hospitals during these time periods with 68,736,863 patients in teaching hospitals and 66,355,150 in nonteaching hospitals. Shortly after duty-hour reform (2004 and 2006), teaching hospitals had a statistically significant increase in rate of medication error (p = 0.019 and 0.006, respectively) when compared with nonteaching hospitals even after accounting for trends across all hospitals during this period. After 2007, no further statistically significant difference was noted. After ACGME duty-hour reform, medication error rates increased in teaching hospitals, which diminished over time. This decrease in errors may be related to changes in training program structure to accommodate duty-hour reform. Copyright © 2015 Association of Program Directors in

  2. Factors affecting nursing students' intention to report medication errors: An application of the theory of planned behavior.

    PubMed

    Ben Natan, Merav; Sharon, Ira; Mahajna, Marlen; Mahajna, Sara

    2017-11-01

    Medication errors are common among nursing students. Nonetheless, these errors are often underreported. To examine factors related to nursing students' intention to report medication errors, using the Theory of Planned Behavior, and to examine whether the theory is useful in predicting students' intention to report errors. This study has a descriptive cross-sectional design. Study population was recruited in a university and a large nursing school in central and northern Israel. A convenience sample of 250 nursing students took part in the study. The students completed a self-report questionnaire, based on the Theory of Planned Behavior. The findings indicate that students' intention to report medication errors was high. The Theory of Planned Behavior constructs explained 38% of variance in students' intention to report medication errors. The constructs of behavioral beliefs, subjective norms, and perceived behavioral control were found as affecting this intention, while the most significant factor was behavioral beliefs. The findings also reveal that students' fear of the reaction to disclosure of the error from superiors and colleagues may impede them from reporting the error. Understanding factors related to reporting medication errors is crucial to designing interventions that foster error reporting. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. To share or not to share: a randomized trial of consent for data sharing in genome research.

    PubMed

    McGuire, Amy L; Oliver, Jill M; Slashinski, Melody J; Graves, Jennifer L; Wang, Tao; Kelly, P Adam; Fisher, William; Lau, Ching C; Goss, John; Okcu, Mehmet; Treadwell-Deering, Diane; Goldman, Alica M; Noebels, Jeffrey L; Hilsenbeck, Susan G

    2011-11-01

    Despite growing concerns toward maintaining participants' privacy, individual investigators collecting tissue and other biological specimens for genomic analysis are encouraged to obtain informed consent for broad data sharing. Our purpose was to assess the effect on research enrollment and data sharing decisions of three different consent types (traditional, binary, or tiered) with varying levels of control and choices regarding data sharing. A single-blinded, randomized controlled trial was conducted with 323 eligible adult participants being recruited into one of six genome studies at Baylor College of Medicine in Houston, Texas, between January 2008 and August 2009. Participants were randomly assigned to one of three experimental consent documents (traditional, n = 110; binary, n = 103; and tiered, n = 110). Debriefing in follow-up visits provided participants a detailed review of all consent types and the chance to change data sharing choices or decline genome study participation. Before debriefing, 83.9% of participants chose public data release. After debriefing, 53.1% chose public data release, 33.1% chose restricted (controlled access database) release, and 13.7% opted out of data sharing. Only one participant declined genome study participation due to data sharing concerns. Our findings indicate that most participants are willing to publicly release their genomic data; however, a significant portion prefers restricted release. These results suggest discordance between existing data sharing policies and participants' judgments and desires.

  4. Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors’ Network

    PubMed Central

    Alfonso, Fernando; Adamyan, Karlen; Artigou, Jean-Yves; Aschermann, Michael; Boehm, Michael; Buendia, Alfonso; Chu, Pao-Hsien; Cohen, Ariel; Dei Cas, Livio; Dilic, Mirza; Doubell, Anton; Echeverri, Dario; Enç, Nuray; Ferreira-González, Ignacio; J. Filipiak, Krzysztof; Flammer, Andreas; Fleck, Eckart; Gatzov, Plamen; Ginghina, Carmen; Goncalves, Lino; Haouala, Habib; Hassanein, Mahmoud; Heusch, Gerd; Huber, Kurt; Hulín, Ivan; Ivanusa, Mario; Krittayaphong, Rungroj; Lau, Chu-Pak; Marinskis, Germanas; Mach, François; Moreira, Luiz Felipe; Nieminen, Tuomo; Oukerraj, Latifa; Perings, Stefan; Pierard, Luc; Potpara, Tatjana; Reyes-Caorsi, Walter; Rim, Se-Joong; Rødevand, Olaf; Saade, Georges; Sander, Mikael; Shlyakhto, Evgeny; Timuralp, Bilgin; Tousoulis, Dimitris; Ural, Dilek; Piek, J. J.; Varga, Albert; Lüscher, Thomas F.

    2017-01-01

    The International Committee of Medical Journal Editors (ICMJE) provides recommendations to improve the editorial standards and scientific quality of biomedical journals. These recommendations range from uniform technical requirements to more complex and elusive editorial issues including ethical aspects of the scientific process. Recently, registration of clinical trials, conflicts of interest disclosure, and new criteria for authorship- emphasizing the importance of responsibility and accountability-, have been proposed. Last year, a new editorial initiative to foster sharing of clinical trial data was launched. This review discusses this novel initiative with the aim of increasing awareness among readers, investigators, authors and editors belonging to the Editors’ Network of the European Society of Cardiology. PMID:28630534

  5. Antiretroviral medication prescribing errors are common with hospitalization of HIV-infected patients.

    PubMed

    Commers, Tessa; Swindells, Susan; Sayles, Harlan; Gross, Alan E; Devetten, Marcel; Sandkovsky, Uriel

    2014-01-01

    Errors in prescribing antiretroviral therapy (ART) often occur with the hospitalization of HIV-infected patients. The rapid identification and prevention of errors may reduce patient harm and healthcare-associated costs. A retrospective review of hospitalized HIV-infected patients was carried out between 1 January 2009 and 31 December 2011. Errors were documented as omission, underdose, overdose, duplicate therapy, incorrect scheduling and/or incorrect therapy. The time to error correction was recorded. Relative risks (RRs) were computed to evaluate patient characteristics and error rates. A total of 289 medication errors were identified in 146/416 admissions (35%). The most common was drug omission (69%). At an error rate of 31%, nucleoside reverse transcriptase inhibitors were associated with an increased risk of error when compared with protease inhibitors (RR 1.32; 95% CI 1.04-1.69) and co-formulated drugs (RR 1.59; 95% CI 1.19-2.09). Of the errors, 31% were corrected within the first 24 h, but over half (55%) were never remedied. Admissions with an omission error were 7.4 times more likely to have all errors corrected within 24 h than were admissions without an omission. Drug interactions with ART were detected on 51 occasions. For the study population (n = 177), an increased risk of admission error was observed for black (43%) compared with white (28%) individuals (RR 1.53; 95% CI 1.16-2.03) but no significant differences were observed between white patients and other minorities or between men and women. Errors in inpatient ART were common, and the majority were never detected. The most common errors involved omission of medication, and nucleoside reverse transcriptase inhibitors had the highest rate of prescribing error. Interventions to prevent and correct errors are urgently needed.

  6. Sharing Neuron Data: Carrots, Sticks, and Digital Records.

    PubMed

    Ascoli, Giorgio A

    2015-10-01

    Routine data sharing is greatly benefiting several scientific disciplines, such as molecular biology, particle physics, and astronomy. Neuroscience data, in contrast, are still rarely shared, greatly limiting the potential for secondary discovery and the acceleration of research progress. Although the attitude toward data sharing is non-uniform across neuroscience subdomains, widespread adoption of data sharing practice will require a cultural shift in the community. Digital reconstructions of axonal and dendritic morphology constitute a particularly "sharable" kind of data. The popularity of the public repository NeuroMorpho.Org demonstrates that data sharing can benefit both users and contributors. Increased data availability is also catalyzing the grassroots development and spontaneous integration of complementary resources, research tools, and community initiatives. Even in this rare successful subfield, however, more data are still unshared than shared. Our experience as developers and curators of NeuroMorpho.Org suggests that greater transparency regarding the expectations and consequences of sharing (or not sharing) data, combined with public disclosure of which datasets are shared and which are not, may expedite the transition to community-wide data sharing.

  7. Impact of type 2 diabetes medication cost sharing on patient outcomes and health plan costs.

    PubMed

    Thornton Snider, Julia; Seabury, Seth; Lopez, Janice; McKenzie, Scott; Goldman, Dana P

    2016-06-01

    To study the association between cost sharing for diabetes medications, adherence, hospitalization rates, and healthcare costs, with relationship to patient risk. A retrospective claims analysis of data from 35 large, private, self-insured employers (2004 to 2012). We examined outcomes for 92,410 patients aged 18 to 64 years with a type 2 diabetes (T2D) diagnosis who filled at least 1 T2D prescription. First, we examined the relationship between adherence, measured as the proportion of days covered, and cost sharing, measured as the out-of-pocket cost to purchase a pre-specified bundle of T2D prescriptions. We then examined the association between adherence and hospital days. Simulations showed the effect of increased cost sharing on adherence and inpatient utilization. A $10 increase in out-of-pocket cost was associated with a 1.9% reduction in adherence (P < .01). In turn, a 10% reduction in adherence was associated with a 15% increase in per-patient hospital days (0.17 days; P < .01). For the average plan, switching from low to high cost sharing reduced per-patient medication costs by $242 and increased per-patient hospitalization costs by $342, for a net increase of $100 in plan costs. Increases in per-patient costs were greater for high-risk patients, such as those with heart failure ($1328). Increased cost sharing for T2D medication was associated with reductions in pharmacy costs, but higher total costs for patients with T2D. This problem is particularly acute for patients with 1 or more cardiovascular comorbidities. The results suggest that increased diabetes cost sharing may hamper efforts to lower the total cost of diabetes care.

  8. Sharing health-related data: a privacy test?

    PubMed Central

    Dyke, Stephanie OM; Dove, Edward S; Knoppers, Bartha M

    2016-01-01

    Greater sharing of potentially sensitive data raises important ethical, legal and social issues (ELSI), which risk hindering and even preventing useful data sharing if not properly addressed. One such important issue is respecting the privacy-related interests of individuals whose data are used in genomic research and clinical care. As part of the Global Alliance for Genomics and Health (GA4GH), we examined the ELSI status of health-related data that are typically considered ‘sensitive’ in international policy and data protection laws. We propose that ‘tiered protection’ of such data could be implemented in contexts such as that of the GA4GH Beacon Project to facilitate responsible data sharing. To this end, we discuss a Data Sharing Privacy Test developed to distinguish degrees of sensitivity within categories of data recognised as ‘sensitive’. Based on this, we propose guidance for determining the level of protection when sharing genomic and health-related data for the Beacon Project and in other international data sharing initiatives. PMID:27990299

  9. A QR Code Based Zero-Watermarking Scheme for Authentication of Medical Images in Teleradiology Cloud

    PubMed Central

    Seenivasagam, V.; Velumani, R.

    2013-01-01

    Healthcare institutions adapt cloud based archiving of medical images and patient records to share them efficiently. Controlled access to these records and authentication of images must be enforced to mitigate fraudulent activities and medical errors. This paper presents a zero-watermarking scheme implemented in the composite Contourlet Transform (CT)—Singular Value Decomposition (SVD) domain for unambiguous authentication of medical images. Further, a framework is proposed for accessing patient records based on the watermarking scheme. The patient identification details and a link to patient data encoded into a Quick Response (QR) code serves as the watermark. In the proposed scheme, the medical image is not subjected to degradations due to watermarking. Patient authentication and authorized access to patient data are realized on combining a Secret Share with the Master Share constructed from invariant features of the medical image. The Hu's invariant image moments are exploited in creating the Master Share. The proposed system is evaluated with Checkmark software and is found to be robust to both geometric and non geometric attacks. PMID:23970943

  10. A QR code based zero-watermarking scheme for authentication of medical images in teleradiology cloud.

    PubMed

    Seenivasagam, V; Velumani, R

    2013-01-01

    Healthcare institutions adapt cloud based archiving of medical images and patient records to share them efficiently. Controlled access to these records and authentication of images must be enforced to mitigate fraudulent activities and medical errors. This paper presents a zero-watermarking scheme implemented in the composite Contourlet Transform (CT)-Singular Value Decomposition (SVD) domain for unambiguous authentication of medical images. Further, a framework is proposed for accessing patient records based on the watermarking scheme. The patient identification details and a link to patient data encoded into a Quick Response (QR) code serves as the watermark. In the proposed scheme, the medical image is not subjected to degradations due to watermarking. Patient authentication and authorized access to patient data are realized on combining a Secret Share with the Master Share constructed from invariant features of the medical image. The Hu's invariant image moments are exploited in creating the Master Share. The proposed system is evaluated with Checkmark software and is found to be robust to both geometric and non geometric attacks.

  11. [Prospective assessment of medication errors in critically ill patients in a university hospital].

    PubMed

    Salazar L, Nicole; Jirón A, Marcela; Escobar O, Leslie; Tobar, Eduardo; Romero, Carlos

    2011-11-01

    Critically ill patients are especially vulnerable to medication errors (ME) due to their severe clinical situation and the complexities of their management. To determine the frequency and characteristics of ME and identify shortcomings in the processes of medication management in an Intensive Care Unit. During a 3 months period, an observational prospective and randomized study was carried out in the ICU of a university hospital. Every step of patient's medication management (prescription, transcription, dispensation, preparation and administration) was evaluated by an external trained professional. Steps with higher frequency of ME and their therapeutic groups involved were identified. Medications errors were classified according to the National Coordinating Council for Medication Error Reporting and Prevention. In 52 of 124 patients evaluated, 66 ME were found in 194 drugs prescribed. In 34% of prescribed drugs, there was at least 1 ME during its use. Half of ME occurred during medication administration, mainly due to problems in infusion rates and schedule times. Antibacterial drugs had the highest rate of ME. We found a 34% rate of ME per drug prescribed, which is in concordance with international reports. The identification of those steps more prone to ME in the ICU, will allow the implementation of an intervention program to improve the quality and security of medication management.

  12. Physicians' medication prescribing in primary care . in Riyadh City, Saudi Arabia. Literature review, part 3: prescribing errors.

    PubMed

    Qureshi, N A; Neyaz, Y; Khoja, T; Magzoub, M A; Haycox, A; Walley, T

    2011-02-01

    Medication errors are globally huge in magnitude and associated with high morbidity and mortality together with high costs and legal problems. Medication errors are caused by multiple factors related to health providers, consumers and health system, but most prescribing errors are preventable. This paper is the third of 3 review articles that form the background for a series of 5 interconnected studies of prescribing patterns and medication errors in the public and private primary health care sectors of Saudi Arabia. A MEDLINE search was conducted to identify papers published in peer-reviewed journals over the previous 3 decades. The paper reviews the etiology, prevention strategies, reporting mechanisms and the myriad consequences of medication errors.

  13. What Drives Academic Data Sharing?

    PubMed Central

    Fecher, Benedikt; Friesike, Sascha; Hebing, Marcel

    2015-01-01

    Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher’s point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress. PMID:25714752

  14. Barriers to reporting medication errors and near misses among nurses: A systematic review.

    PubMed

    Vrbnjak, Dominika; Denieffe, Suzanne; O'Gorman, Claire; Pajnkihar, Majda

    2016-11-01

    To explore barriers to nurses' reporting of medication errors and near misses in hospital settings. Systematic review. Medline, CINAHL, PubMed and Cochrane Library in addition to Google and Google Scholar and reference lists of relevant studies published in English between January 1981 and April 2015 were searched for relevant qualitative, quantitative or mixed methods empirical studies or unpublished PhD theses. Papers with a primary focus on barriers to reporting medication errors and near misses in nursing were included. The titles and abstracts of the search results were assessed for eligibility and relevance by one of the authors. After retrieval of the full texts, two of the authors independently made decisions concerning the final inclusion and these were validated by the third reviewer. Three authors independently assessed methodological quality of studies. Relevant data were extracted and findings were synthesised using thematic synthesis. From 4038 identified records, 38 studies were included in the synthesis. Findings suggest that organizational barriers such as culture, the reporting system and management behaviour in addition to personal and professional barriers such as fear, accountability and characteristics of nurses are barriers to reporting medication errors. To overcome reported barriers it is necessary to develop a non-blaming, non-punitive and non-fearful learning culture at unit and organizational level. Anonymous, effective, uncomplicated and efficient reporting systems and supportive management behaviour that provides open feedback to nurses is needed. Nurses are accountable for patients' safety, so they need to be educated and skilled in error management. Lack of research into barriers to reporting of near misses' and low awareness of reporting suggests the need for further research and development of educational and management approaches to overcome these barriers. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. Impact of Extended-Duration Shifts on Medical Errors, Adverse Events, and Attentional Failures

    PubMed Central

    Barger, Laura K; Ayas, Najib T; Cade, Brian E; Cronin, John W; Rosner, Bernard; Speizer, Frank E; Czeisler, Charles A

    2006-01-01

    Background A recent randomized controlled trial in critical-care units revealed that the elimination of extended-duration work shifts (≥24 h) reduces the rates of significant medical errors and polysomnographically recorded attentional failures. This raised the concern that the extended-duration shifts commonly worked by interns may contribute to the risk of medical errors being made, and perhaps to the risk of adverse events more generally. Our current study assessed whether extended-duration shifts worked by interns are associated with significant medical errors, adverse events, and attentional failures in a diverse population of interns across the United States. Methods and Findings We conducted a Web-based survey, across the United States, in which 2,737 residents in their first postgraduate year (interns) completed 17,003 monthly reports. The association between the number of extended-duration shifts worked in the month and the reporting of significant medical errors, preventable adverse events, and attentional failures was assessed using a case-crossover analysis in which each intern acted as his/her own control. Compared to months in which no extended-duration shifts were worked, during months in which between one and four extended-duration shifts and five or more extended-duration shifts were worked, the odds ratios of reporting at least one fatigue-related significant medical error were 3.5 (95% confidence interval [CI], 3.3–3.7) and 7.5 (95% CI, 7.2–7.8), respectively. The respective odds ratios for fatigue-related preventable adverse events, 8.7 (95% CI, 3.4–22) and 7.0 (95% CI, 4.3–11), were also increased. Interns working five or more extended-duration shifts per month reported more attentional failures during lectures, rounds, and clinical activities, including surgery and reported 300% more fatigue-related preventable adverse events resulting in a fatality. Conclusions In our survey, extended-duration work shifts were associated with an

  16. Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors´ Network.

    PubMed

    Alfonso, Fernando; Adamyan, Karlen; Artigou, Jean Yves; Aschermann, Michael; Boehm, Michael; Buendia, Alfonso; Chu, Pao Hsien; Cohen, Ariel; Cas, Livio Dei; Dilic, Mirza; Doubell, Anton; Echeverri, Dario; Enç, Nuray; Ferreira-González, Ignacio; Filipiak, Krzysztof J; Flammer, Andreas; Fleck, Eckart; Gatzov, Plamen; Ginghina, Carmen; Goncalves, Lino; Haouala, Habib; Hassanein, Mahmoud; Heusch, Gerd; Huber, Kurt; Hulín, Ivan; Ivanusa, Mario; Krittayaphong, Rungroj; Lau, Chu Pak; Marinskis, Germanas; Mach, François; Moreira, Luiz Felipe; Nieminen, Tuomo; Oukerraj, Latifa; Perings, Stefan; Pierard, Luc; Potpara, Tatjana; Reyes-Caorsi, Walter; Rim, Se Joong; Rødevand, Olaf; Saade, Georges; Sander, Mikael; Shlyakhto, Evgeny; Timuralp, Bilgin; Tousoulis, Dimitris; Ural, Dilek; Piek, J J; Varga, Albert; Lüscher, Thomas F

    2017-06-01

    The International Committee of Medical Journal Editors (ICMJE) provides recommendations to improve the editorial standards and scientific quality of biomedical journals. These recommendations range from uniform technical requirements to more complex and elusive editorial issues including ethical aspects of the scientific process. Recently, registration of clinical trials, conflicts of interest disclosure, and new criteria for authorship -emphasizing the importance of responsibility and accountability-, have been proposed. Last year, a new editorial initiative to foster sharing of clinical trial data was launched. This review discusses this novel initiative with the aim of increasing awareness among readers, investigators, authors and editors belonging to the Editors´ Network of the European Society of Cardiology.

  17. Qualitative Data Sharing Practices in Social Sciences

    ERIC Educational Resources Information Center

    Jeng, Wei

    2017-01-01

    Social scientists have been sharing data for a long time. Sharing qualitative data, however, has not become a common practice, despite the context of e-Research, information growth, and funding agencies' mandates on research data archiving and sharing. Since most systematic and comprehensive studies are based on quantitative data practices, little…

  18. Sources of medical error in refractive surgery.

    PubMed

    Moshirfar, Majid; Simpson, Rachel G; Dave, Sonal B; Christiansen, Steven M; Edmonds, Jason N; Culbertson, William W; Pascucci, Stephen E; Sher, Neal A; Cano, David B; Trattler, William B

    2013-05-01

    To evaluate the causes of laser programming errors in refractive surgery and outcomes in these cases. In this multicenter, retrospective chart review, 22 eyes of 18 patients who had incorrect data entered into the refractive laser computer system at the time of treatment were evaluated. Cases were analyzed to uncover the etiology of these errors, patient follow-up treatments, and final outcomes. The results were used to identify potential methods to avoid similar errors in the future. Every patient experienced compromised uncorrected visual acuity requiring additional intervention, and 7 of 22 eyes (32%) lost corrected distance visual acuity (CDVA) of at least one line. Sixteen patients were suitable candidates for additional surgical correction to address these residual visual symptoms and six were not. Thirteen of 22 eyes (59%) received surgical follow-up treatment; nine eyes were treated with contact lenses. After follow-up treatment, six patients (27%) still had a loss of one line or more of CDVA. Three significant sources of error were identified: errors of cylinder conversion, data entry, and patient identification error. Twenty-seven percent of eyes with laser programming errors ultimately lost one or more lines of CDVA. Patients who underwent surgical revision had better outcomes than those who did not. Many of the mistakes identified were likely avoidable had preventive measures been taken, such as strict adherence to patient verification protocol or rigorous rechecking of treatment parameters. Copyright 2013, SLACK Incorporated.

  19. Balancing data sharing requirements for analyses with data sensitivity

    USGS Publications Warehouse

    Jarnevich, C.S.; Graham, J.J.; Newman, G.J.; Crall, A.W.; Stohlgren, T.J.

    2007-01-01

    Data sensitivity can pose a formidable barrier to data sharing. Knowledge of species current distributions from data sharing is critical for the creation of watch lists and an early warning/rapid response system and for model generation for the spread of invasive species. We have created an on-line system to synthesize disparate datasets of non-native species locations that includes a mechanism to account for data sensitivity. Data contributors are able to mark their data as sensitive. This data is then 'fuzzed' in mapping applications and downloaded files to quarter-quadrangle grid cells, but the actual locations are available for analyses. We propose that this system overcomes the hurdles to data sharing posed by sensitive data. ?? 2006 Springer Science+Business Media B.V.

  20. The use of a contextual, modal and psychological classification of medication errors in the emergency department: a retrospective descriptive study.

    PubMed

    Cabilan, C J; Hughes, James A; Shannon, Carl

    2017-12-01

    To describe the contextual, modal and psychological classification of medication errors in the emergency department to know the factors associated with the reported medication errors. The causes of medication errors are unique in every clinical setting; hence, error minimisation strategies are not always effective. For this reason, it is fundamental to understand the causes specific to the emergency department so that targeted strategies can be implemented. Retrospective analysis of reported medication errors in the emergency department. All voluntarily staff-reported medication-related incidents from 2010-2015 from the hospital's electronic incident management system were retrieved for analysis. Contextual classification involved the time, place and the type of medications involved. Modal classification pertained to the stage and issue (e.g. wrong medication, wrong patient). Psychological classification categorised the errors in planning (knowledge-based and rule-based errors) and skill (slips and lapses). There were 405 errors reported. Most errors occurred in the acute care area, short-stay unit and resuscitation area, during the busiest shifts (0800-1559, 1600-2259). Half of the errors involved high-alert medications. Many of the errors occurred during administration (62·7%), prescribing (28·6%) and commonly during both stages (18·5%). Wrong dose, wrong medication and omission were the issues that dominated. Knowledge-based errors characterised the errors that occurred in prescribing and administration. The highest proportion of slips (79·5%) and lapses (76·1%) occurred during medication administration. It is likely that some of the errors occurred due to the lack of adherence to safety protocols. Technology such as computerised prescribing, barcode medication administration and reminder systems could potentially decrease the medication errors in the emergency department. There was a possibility that some of the errors could be prevented if safety

  1. Data Sharing by Scientists: Practices and Perceptions

    PubMed Central

    Tenopir, Carol; Allard, Suzie; Douglass, Kimberly; Aydinoglu, Arsev Umur; Wu, Lei; Read, Eleanor; Manoff, Maribeth; Frame, Mike

    2011-01-01

    Background Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers – data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound data

  2. Systematic literature review of hospital medication administration errors in children

    PubMed Central

    Ameer, Ahmed; Dhillon, Soraya; Peters, Mark J; Ghaleb, Maisoon

    2015-01-01

    Objective Medication administration is the last step in the medication process. It can act as a safety net to prevent unintended harm to patients if detected. However, medication administration errors (MAEs) during this process have been documented and thought to be preventable. In pediatric medicine, doses are usually administered based on the child’s weight or body surface area. This in turn increases the risk of drug miscalculations and therefore MAEs. The aim of this review is to report MAEs occurring in pediatric inpatients. Methods Twelve bibliographic databases were searched for studies published between January 2000 and February 2015 using “medication administration errors”, “hospital”, and “children” related terminologies. Handsearching of relevant publications was also carried out. A second reviewer screened articles for eligibility and quality in accordance with the inclusion/exclusion criteria. Key findings A total of 44 studies were systematically reviewed. MAEs were generally defined as a deviation of dose given from that prescribed; this included omitted doses and administration at the wrong time. Hospital MAEs in children accounted for a mean of 50% of all reported medication error reports (n=12,588). It was also identified in a mean of 29% of doses observed (n=8,894). The most prevalent type of MAEs related to preparation, infusion rate, dose, and time. This review has identified five types of interventions to reduce hospital MAEs in children: barcode medicine administration, electronic prescribing, education, use of smart pumps, and standard concentration. Conclusion This review has identified a wide variation in the prevalence of hospital MAEs in children. This is attributed to the definition and method used to investigate MAEs. The review also illustrated the complexity and multifaceted nature of MAEs. Therefore, there is a need to develop a set of safety measures to tackle these errors in pediatric practice. PMID:29354530

  3. Identifying the latent failures underpinning medication administration errors: an exploratory study.

    PubMed

    Lawton, Rebecca; Carruthers, Sam; Gardner, Peter; Wright, John; McEachan, Rosie R C

    2012-08-01

    The primary aim of this article was to identify the latent failures that are perceived to underpin medication errors. The study was conducted within three medical wards in a hospital in the United Kingdom. The study employed a cross-sectional qualitative design. Interviews were conducted with 12 nurses and eight managers. Interviews were transcribed and subject to thematic content analysis. A two-step inter-rater comparison tested the reliability of the themes. Ten latent failures were identified based on the analysis of the interviews. These were ward climate, local working environment, workload, human resources, team communication, routine procedures, bed management, written policies and procedures, supervision and leadership, and training. The discussion focuses on ward climate, the most prevalent theme, which is conceptualized here as interacting with failures in the nine other organizational structures and processes. This study is the first of its kind to identify the latent failures perceived to underpin medication errors in a systematic way. The findings can be used as a platform for researchers to test the impact of organization-level patient safety interventions and to design proactive error management tools and incident reporting systems in hospitals. © Health Research and Educational Trust.

  4. Adapting federated cyberinfrastructure for shared data collection facilities in structural biology

    PubMed Central

    Stokes-Rees, Ian; Levesque, Ian; Murphy, Frank V.; Yang, Wei; Deacon, Ashley; Sliz, Piotr

    2012-01-01

    Early stage experimental data in structural biology is generally unmaintained and inaccessible to the public. It is increasingly believed that this data, which forms the basis for each macromolecular structure discovered by this field, must be archived and, in due course, published. Furthermore, the widespread use of shared scientific facilities such as synchrotron beamlines complicates the issue of data storage, access and movement, as does the increase of remote users. This work describes a prototype system that adapts existing federated cyberinfra­structure technology and techniques to significantly improve the operational environment for users and administrators of synchrotron data collection facilities used in structural biology. This is achieved through software from the Virtual Data Toolkit and Globus, bringing together federated users and facilities from the Stanford Synchrotron Radiation Lightsource, the Advanced Photon Source, the Open Science Grid, the SBGrid Consortium and Harvard Medical School. The performance and experience with the prototype provide a model for data management at shared scientific facilities. PMID:22514186

  5. Adapting federated cyberinfrastructure for shared data collection facilities in structural biology.

    PubMed

    Stokes-Rees, Ian; Levesque, Ian; Murphy, Frank V; Yang, Wei; Deacon, Ashley; Sliz, Piotr

    2012-05-01

    Early stage experimental data in structural biology is generally unmaintained and inaccessible to the public. It is increasingly believed that this data, which forms the basis for each macromolecular structure discovered by this field, must be archived and, in due course, published. Furthermore, the widespread use of shared scientific facilities such as synchrotron beamlines complicates the issue of data storage, access and movement, as does the increase of remote users. This work describes a prototype system that adapts existing federated cyberinfrastructure technology and techniques to significantly improve the operational environment for users and administrators of synchrotron data collection facilities used in structural biology. This is achieved through software from the Virtual Data Toolkit and Globus, bringing together federated users and facilities from the Stanford Synchrotron Radiation Lightsource, the Advanced Photon Source, the Open Science Grid, the SBGrid Consortium and Harvard Medical School. The performance and experience with the prototype provide a model for data management at shared scientific facilities.

  6. Job sharing as an employment alternative in group medical practice.

    PubMed

    Vanek, E P; Vanek, J A

    2001-01-01

    Although physicians discuss quality-of-life and employment issues with their patients, they often fail to consider flexible scheduling and reduced employment options to lessen their own job stress. We examined one of these options by surveying two community-based, private practice groups with a combined 13-year experience with job sharing. We found that a majority of respondents rated job sharing as successful, and most wanted it to continue. Job sharers derived considerable personal benefit from the arrangement and had significantly more positive attitudes toward work than full-time physicians. Job sharing appeared to have little impact on practice parameters. Dependability, flexibility and willingness to cooperate were the most important attributes in choosing a job-sharing partner. Job sharing is an employment alternative worth exploring to retain physicians in medical group practice.

  7. Clinical research data sharing: what an open science world means for researchers involved in evidence synthesis.

    PubMed

    Ross, Joseph S

    2016-09-20

    The International Committee of Medical Journal Editors (ICMJE) recently announced a bold step forward to require data generated by interventional clinical trials that are published in its member journals to be responsibly shared with external investigators. The movement toward a clinical research culture that supports data sharing has important implications for the design, conduct, and reporting of systematic reviews and meta-analyses. While data sharing is likely to enhance the science of evidence synthesis, facilitating the identification and inclusion of all relevant research, it will also pose key challenges, such as requiring broader search strategies and more thorough scrutiny of identified research. Furthermore, the adoption of data sharing initiatives by the clinical research community should challenge the community of researchers involved in evidence synthesis to follow suit, including the widespread adoption of systematic review registration, results reporting, and data sharing, to promote transparency and enhance the integrity of the research process.

  8. Errors, error detection, error correction and hippocampal-region damage: data and theories.

    PubMed

    MacKay, Donald G; Johnson, Laura W

    2013-11-01

    This review and perspective article outlines 15 observational constraints on theories of errors, error detection, and error correction, and their relation to hippocampal-region (HR) damage. The core observations come from 10 studies with H.M., an amnesic with cerebellar and HR damage but virtually no neocortical damage. Three studies examined the detection of errors planted in visual scenes (e.g., a bird flying in a fish bowl in a school classroom) and sentences (e.g., I helped themselves to the birthday cake). In all three experiments, H.M. detected reliably fewer errors than carefully matched memory-normal controls. Other studies examined the detection and correction of self-produced errors, with controls for comprehension of the instructions, impaired visual acuity, temporal factors, motoric slowing, forgetting, excessive memory load, lack of motivation, and deficits in visual scanning or attention. In these studies, H.M. corrected reliably fewer errors than memory-normal and cerebellar controls, and his uncorrected errors in speech, object naming, and reading aloud exhibited two consistent features: omission and anomaly. For example, in sentence production tasks, H.M. omitted one or more words in uncorrected encoding errors that rendered his sentences anomalous (incoherent, incomplete, or ungrammatical) reliably more often than controls. Besides explaining these core findings, the theoretical principles discussed here explain H.M.'s retrograde amnesia for once familiar episodic and semantic information; his anterograde amnesia for novel information; his deficits in visual cognition, sentence comprehension, sentence production, sentence reading, and object naming; and effects of aging on his ability to read isolated low frequency words aloud. These theoretical principles also explain a wide range of other data on error detection and correction and generate new predictions for future test. Copyright © 2013 Elsevier Ltd. All rights reserved.

  9. Hope Modified the Association between Distress and Incidence of Self-Perceived Medical Errors among Practicing Physicians: Prospective Cohort Study

    PubMed Central

    Hayashino, Yasuaki; Utsugi-Ozaki, Makiko; Feldman, Mitchell D.; Fukuhara, Shunichi

    2012-01-01

    The presence of hope has been found to influence an individual's ability to cope with stressful situations. The objective of this study is to evaluate the relationship between medical errors, hope and burnout among practicing physicians using validated metrics. Prospective cohort study was conducted among hospital based physicians practicing in Japan (N = 836). Measures included the validated Burnout Scale, self-assessment of medical errors and Herth Hope Index (HHI). The main outcome measure was the frequency of self-perceived medical errors, and Poisson regression analysis was used to evaluate the association between hope and medical error. A total of 361 errors were reported in 836 physician-years. We observed a significant association between hope and self-report of medical errors. Compared with the lowest tertile category of HHI, incidence rate ratios (IRRs) of self-perceived medical errors of physicians in the highest category were 0.44 (95%CI, 0.34 to 0.58) and 0.54 (95%CI, 0.42 to 0.70) respectively, for the 2nd and 3rd tertile. In stratified analysis by hope score, among physicians with a low hope score, those who experienced higher burnout reported higher incidence of errors; physicians with high hope scores did not report high incidences of errors, even if they experienced high burnout. Self-perceived medical errors showed a strong association with physicians' hope, and hope modified the association between physicians' burnout and self-perceived medical errors. PMID:22530055

  10. Data entry and error embedding system

    NASA Technical Reports Server (NTRS)

    Woo, Daniel N. (Inventor); Woo, Jr., John (Inventor)

    1998-01-01

    A data entry and error embedding system in which, first, a document is bitmapped and recorded in a first memory. Then, it is displayed, and portions of it to be replicated by data entry are underlayed by a window, into which window replicated data is entered in location and size such that it is juxtaposed just below that which is replicated, enhancing the accuracy of replication. Second, with this format in place, selected portions of the replicated data are altered by the insertion of character or word substitutions, thus the embedding of errors. Finally, a proofreader would endeavor to correct the error embedded data and a record of his or her changes recorded. In this manner, the skill level of the proofreader and accuracy of the data are computed.

  11. [Surveillance of health care errors. An overview of the published data in Argentina].

    PubMed

    Codermatz, Marcela A; Trillo, Carolina; Berenstein, Graciela; Ortiz, Zulma

    2006-01-01

    In the last decades, public health surveillance extended its scope of study to new fields, such as medical errors, in order to improve patient safety. This study was aimed to review all the evidence produced in Argentina about the surveillance of medical errors. An exhaustive literature search was performed. A total of 4656 abstracts were assessed (150 MEDLINE, 145 LILACS, and 4361 hand searched abstracts). Of them, 52 were analysed and 8 were considered relevant for health care error surveillance. Different approaches were used to study medical errors. Some of them have focused on patient safety and others on medical malpractice. There is still a need to improve the surveillance of this type of event. Mainly, the quality reports of study design and surveillance attributes were unclear. A critical appraisal and synthesis of all relevant studies on health care errors may help to understand not only the state of the art, but also to define research priorities.

  12. Prescribing error at hospital discharge: a retrospective review of medication information in an Irish hospital.

    PubMed

    Michaelson, M; Walsh, E; Bradley, C P; McCague, P; Owens, R; Sahm, L J

    2017-08-01

    Prescribing error may result in adverse clinical outcomes leading to increased patient morbidity, mortality and increased economic burden. Many errors occur during transitional care as patients move between different stages and settings of care. To conduct a review of medication information and identify prescribing error among an adult population in an urban hospital. Retrospective review of medication information was conducted. Part 1: an audit of discharge prescriptions which assessed: legibility, compliance with legal requirements, therapeutic errors (strength, dose and frequency) and drug interactions. Part 2: A review of all sources of medication information (namely pre-admission medication list, drug Kardex, discharge prescription, discharge letter) for 15 inpatients to identify unintentional prescription discrepancies, defined as: "undocumented and/or unjustified medication alteration" throughout the hospital stay. Part 1: of the 5910 prescribed items; 53 (0.9%) were deemed illegible. Of the controlled drug prescriptions 11.1% (n = 167) met all the legal requirements. Therapeutic errors occurred in 41% of prescriptions (n = 479) More than 1 in 5 patients (21.9%) received a prescription containing a drug interaction. Part 2: 175 discrepancies were identified across all sources of medication information; of which 78 were deemed unintentional. Of these: 10.2% (n = 8) occurred at the point of admission, whereby 76.9% (n = 60) occurred at the point of discharge. The study identified the time of discharge as a point at which prescribing errors are likely to occur. This has implications for patient safety and provider work load in both primary and secondary care.

  13. A survey of mindset theories of intelligence and medical error self-reporting among pediatric housestaff and faculty.

    PubMed

    Jegathesan, Mithila; Vitberg, Yaffa M; Pusic, Martin V

    2016-02-11

    Intelligence theory research has illustrated that people hold either "fixed" (intelligence is immutable) or "growth" (intelligence can be improved) mindsets and that these views may affect how people learn throughout their lifetime. Little is known about the mindsets of physicians, and how mindset may affect their lifetime learning and integration of feedback. Our objective was to determine if pediatric physicians are of the "fixed" or "growth" mindset and whether individual mindset affects perception of medical error reporting.  We sent an anonymous electronic survey to pediatric residents and attending pediatricians at a tertiary care pediatric hospital. Respondents completed the "Theories of Intelligence Inventory" which classifies individuals on a 6-point scale ranging from 1 (Fixed Mindset) to 6 (Growth Mindset). Subsequent questions collected data on respondents' recall of medical errors by self or others. We received 176/349 responses (50 %). Participants were equally distributed between mindsets with 84 (49 %) classified as "fixed" and 86 (51 %) as "growth". Residents, fellows and attendings did not differ in terms of mindset. Mindset did not correlate with the small number of reported medical errors. There is no dominant theory of intelligence (mindset) amongst pediatric physicians. The distribution is similar to that seen in the general population. Mindset did not correlate with error reports.

  14. Data sharing platforms for de-identified data from human clinical trials.

    PubMed

    Huser, Vojtech; Shmueli-Blumberg, Dikla

    2018-04-01

    Data sharing of de-identified individual participant data is being adopted by an increasing number of sponsors of human clinical trials. In addition to standardizing data syntax for shared trial data, semantic integration of various data elements is the focus of several initiatives that define research common data elements. This perspective article, in the first part, compares several data sharing platforms for de-identified clinical research data in terms of their size, policies and supported features. In the second part, we use a case study approach to describe in greater detail one data sharing platform (Data Share from National Institute of Drug Abuse). We present data on the past use of the platform, data formats offered, data de-identification approaches and its use of research common data elements. We conclude with a summary of current and expected future trends that facilitate secondary research use of data from completed human clinical trials.

  15. Surrogate data--a secure way to share corporate data.

    PubMed

    Tetko, Igor V; Abagyan, Ruben; Oprea, Tudor I

    2005-01-01

    The privacy of chemical structure is of paramount importance for the industrial sector, in particular for the pharmaceutical industry. At the same time, companies handle large amounts of physico-chemical and biological data that could be shared in order to improve our molecular understanding of pharmacokinetic and toxicological properties, which could lead to improved predictivity and shorten the development time for drugs, in particular in the early phases of drug discovery. The current study provides some theoretical limits on the information required to produce reverse engineering of molecules from generated descriptors and demonstrates that the information content of molecules can be as low as less than one bit per atom. Thus theoretically just one descriptor can be used to completely disclose the molecular structure. Instead of sharing descriptors, we propose to share surrogate data. The sharing of surrogate data is nothing else but sharing of reliably predicted molecules. The use of surrogate data can provide the same information as the original set. We consider the practical application of this idea to predict lipophilicity of chemical compounds and we demonstrate that surrogate and real (original) data provides similar prediction ability. Thus, our proposed strategy makes it possible not only to share descriptors, but also complete collections of surrogate molecules without the danger of disclosing the underlying molecular structures.

  16. Perceptions and Attitudes towards Medication Error Reporting in Primary Care Clinics: A Qualitative Study in Malaysia.

    PubMed

    Samsiah, A; Othman, Noordin; Jamshed, Shazia; Hassali, Mohamed Azmi

    2016-01-01

    To explore and understand participants' perceptions and attitudes towards the reporting of medication errors (MEs). A qualitative study using in-depth interviews of 31 healthcare practitioners from nine publicly funded, primary care clinics in three states in peninsular Malaysia was conducted for this study. The participants included family medicine specialists, doctors, pharmacists, pharmacist assistants, nurses and assistant medical officers. The interviews were audiotaped and transcribed verbatim. Analysis of the data was guided by the framework approach. Six themes and 28 codes were identified. Despite the availability of a reporting system, most of the participants agreed that MEs were underreported. The nature of the error plays an important role in determining the reporting. The reporting system, organisational factors, provider factors, reporter's burden and benefit of reporting also were identified. Healthcare practitioners in primary care clinics understood the importance of reporting MEs to improve patient safety. Their perceptions and attitudes towards reporting of MEs were influenced by many factors which affect the decision-making process of whether or not to report. Although the process is complex, it primarily is determined by the severity of the outcome of the errors. The participants voluntarily report the errors if they are familiar with the reporting system, what error to report, when to report and what form to use.

  17. Data-driven approach for creating synthetic electronic medical records.

    PubMed

    Buczak, Anna L; Babin, Steven; Moniz, Linda

    2010-10-14

    New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed. This paper describes a novel methodology for generating complete synthetic EMRs both for an outbreak illness of interest (tularemia) and for background records. The method developed has three major steps: 1) synthetic patient identity and basic information generation; 2) identification of care patterns that the synthetic patients would receive based on the information present in real EMR data for similar health problems; 3) adaptation of these care patterns to the synthetic patient population. We generated EMRs, including visit records, clinical activity, laboratory orders/results and radiology orders/results for 203 synthetic tularemia outbreak patients. Validation of the records by a medical expert revealed problems in 19% of the records; these were subsequently corrected. We also generated background EMRs for over 3000 patients in the 4-11 yr age group. Validation of those records by a medical expert revealed problems in fewer than 3% of these background patient EMRs and the errors were subsequently rectified. A data-driven method was developed for generating fully synthetic EMRs. The method is general and can be applied to any data set that has similar data elements (such as laboratory and radiology orders and results, clinical activity, prescription orders). The pilot synthetic outbreak records were for tularemia but our approach may be adapted to other infectious diseases. The pilot synthetic background records were in the 4

  18. The effect of a multifaceted educational intervention on medication preparation and administration errors in neonatal intensive care.

    PubMed

    Chedoe, Indra; Molendijk, Harry; Hospes, Wobbe; Van den Heuvel, Edwin R; Taxis, Katja

    2012-11-01

    To examine the effect of a multifaceted educational intervention on the incidence of medication preparation and administration errors in a neonatal intensive care unit (NICU). Prospective study with a preintervention and postintervention measurement using direct observation. NICU in a tertiary hospital in the Netherlands. A multifaceted educational intervention including teaching and self-study. The incidence of medication preparation and administration errors. Clinical importance was assessed by three experts. The incidence of errors decreased from 49% (43-54%) (151 medications with one or more errors of 311 observations) to 31% (87 of 284) (25-36%). Preintervention, 0.3% (0-2%) medications contained severe errors, 26% (21-31%) moderate and 23% (18-28%) minor errors; postintervention, none 0% (0-2%) was severe, 23% (18-28%) moderate and 8% (5-12%) minor. A generalised estimating equations analysis provided an OR of 0.49 (0.29-0.84) for period (p=0.032), (route of administration (p=0.001), observer within period (p=0.036)). The multifaceted educational intervention seemed to have contributed to a significant reduction of the preparation and administration error rate, but other measures are needed to improve medication safety further.

  19. Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors' Network.

    PubMed

    Alfonso, Fernando; Adamyan, Karlen; Artigou, Jean-Yves; Aschermann, Michael; Boehm, Michael; Buendia, Alfonso; Chu, Pao-Hsien; Cohen, Ariel; Cas, Livio Dei; Dilic, Mirza; Doubell, Anton; Echeverri, Dario; Enç, Nuray; Ferreira-González, Ignacio; Filipiak, Krzysztof J; Flammer, Andreas; Fleck, Eckart; Gatzov, Plamen; Ginghina, Carmen; Goncalves, Lino; Haouala, Habib; Hassanein, Mahmoud; Heusch, Gerd; Huber, Kurt; Hulín, Ivan; Ivanusa, Mario; Krittayaphong, Rungroj; Lau, Chu-Pak; Marinskis, Germanas; Mach, François; Moreira, Luiz Felipe; Nieminen, Tuomo; Oukerraj, Latifa; Perings, Stefan; Pierard, Luc; Potpara, Tatjana; Reyes-Caorsi, Walter; Rim, Se-Joong; Rødevand, Olaf; Saade, Georges; Sander, Mikael; Shlyakhto, Evgeny; Timuralp, Bilgin; Tousoulis, Dimitris; Ural, Dilek; Piek, J J; Varga, Albert; Lüscher, Thomas F

    The International Committee of Medical Journal Editors (ICMJE) provides recommendations to improve the editorial standards and scientific quality of biomedical journals. These recommendations range from uniform technical requirements to more complex and elusive editorial issues including ethical aspects of the scientific process. Recently, registration of clinical trials, conflicts of interest disclosure, and new criteria for authorship - emphasizing the importance of responsibility and accountability -, have been proposed. Last year, a new editorial initiative to foster sharing of clinical trial data was launched. This review discusses this novel initiative with the aim of increasing awareness among readers, investigators, authors and editors belonging to the Editors' Network of the European Society of Cardiology. Copyright © 2017. Publicado por Masson Doyma México S.A.

  20. An Empirically Derived Taxonomy of Factors Affecting Physicians' Willingness to Disclose Medical Errors

    PubMed Central

    Kaldjian, Lauris C; Jones, Elizabeth W; Rosenthal, Gary E; Tripp-Reimer, Toni; Hillis, Stephen L

    2006-01-01

    BACKGROUND Physician disclosure of medical errors to institutions, patients, and colleagues is important for patient safety, patient care, and professional education. However, the variables that may facilitate or impede disclosure are diverse and lack conceptual organization. OBJECTIVE To develop an empirically derived, comprehensive taxonomy of factors that affects voluntary disclosure of errors by physicians. DESIGN A mixed-methods study using qualitative data collection (structured literature search and exploratory focus groups), quantitative data transformation (sorting and hierarchical cluster analysis), and validation procedures (confirmatory focus groups and expert review). RESULTS Full-text review of 316 articles identified 91 impeding or facilitating factors affecting physicians' willingness to disclose errors. Exploratory focus groups identified an additional 27 factors. Sorting and hierarchical cluster analysis organized factors into 8 domains. Confirmatory focus groups and expert review relocated 6 factors, removed 2 factors, and modified 4 domain names. The final taxonomy contained 4 domains of facilitating factors (responsibility to patient, responsibility to self, responsibility to profession, responsibility to community), and 4 domains of impeding factors (attitudinal barriers, uncertainties, helplessness, fears and anxieties). CONCLUSIONS A taxonomy of facilitating and impeding factors provides a conceptual framework for a complex field of variables that affects physicians' willingness to disclose errors to institutions, patients, and colleagues. This taxonomy can be used to guide the design of studies to measure the impact of different factors on disclosure, to assist in the design of error-reporting systems, and to inform educational interventions to promote the disclosure of errors to patients. PMID:16918739

  1. Medication knowledge, certainty, and risk of errors in health care: a cross-sectional study

    PubMed Central

    2011-01-01

    Background Medication errors are often involved in reported adverse events. Drug therapy, prescribed by physicians, is mostly carried out by nurses, who are expected to master all aspects of medication. Research has revealed the need for improved knowledge in drug dose calculation, and medication knowledge as a whole is poorly investigated. The purpose of this survey was to study registered nurses' medication knowledge, certainty and estimated risk of errors, and to explore factors associated with good results. Methods Nurses from hospitals and primary health care establishments were invited to carry out a multiple-choice test in pharmacology, drug management and drug dose calculations (score range 0-14). Self-estimated certainty in each answer was recorded, graded from 0 = very uncertain to 3 = very certain. Background characteristics and sense of coping were recorded. Risk of error was estimated by combining knowledge and certainty scores. The results are presented as mean (±SD). Results Two-hundred and three registered nurses participated (including 16 males), aged 42.0 (9.3) years with a working experience of 12.4 (9.2) years. Knowledge scores in pharmacology, drug management and drug dose calculations were 10.3 (1.6), 7.5 (1.6), and 11.2 (2.0), respectively, and certainty scores were 1.8 (0.4), 1.9 (0.5), and 2.0 (0.6), respectively. Fifteen percent of the total answers showed a high risk of error, with 25% in drug management. Independent factors associated with high medication knowledge were working in hospitals (p < 0.001), postgraduate specialization (p = 0.01) and completion of courses in drug management (p < 0.01). Conclusions Medication knowledge was found to be unsatisfactory among practicing nurses, with a significant risk for medication errors. The study revealed a need to improve the nurses' basic knowledge, especially when referring to drug management. PMID:21791106

  2. Metadata based management and sharing of distributed biomedical data

    PubMed Central

    Vergara-Niedermayr, Cristobal; Liu, Peiya

    2014-01-01

    Biomedical research data sharing is becoming increasingly important for researchers to reuse experiments, pool expertise and validate approaches. However, there are many hurdles for data sharing, including the unwillingness to share, lack of flexible data model for providing context information, difficulty to share syntactically and semantically consistent data across distributed institutions, and high cost to provide tools to share the data. SciPort is a web-based collaborative biomedical data sharing platform to support data sharing across distributed organisations. SciPort provides a generic metadata model to flexibly customise and organise the data. To enable convenient data sharing, SciPort provides a central server based data sharing architecture with a one-click data sharing from a local server. To enable consistency, SciPort provides collaborative distributed schema management across distributed sites. To enable semantic consistency, SciPort provides semantic tagging through controlled vocabularies. SciPort is lightweight and can be easily deployed for building data sharing communities. PMID:24834105

  3. Data sharing system for lithography APC

    NASA Astrophysics Data System (ADS)

    Kawamura, Eiichi; Teranishi, Yoshiharu; Shimabara, Masanori

    2007-03-01

    We have developed a simple and cost-effective data sharing system between fabs for lithography advanced process control (APC). Lithography APC requires process flow, inter-layer information, history information, mask information and so on. So, inter-APC data sharing system has become necessary when lots are to be processed in multiple fabs (usually two fabs). The development cost and maintenance cost also have to be taken into account. The system handles minimum information necessary to make trend prediction for the lots. Three types of data have to be shared for precise trend prediction. First one is device information of the lots, e.g., process flow of the device and inter-layer information. Second one is mask information from mask suppliers, e.g., pattern characteristics and pattern widths. Last one is history data of the lots. Device information is electronic file and easy to handle. The electronic file is common between APCs and uploaded into the database. As for mask information sharing, mask information described in common format is obtained via Wide Area Network (WAN) from mask-vender will be stored in the mask-information data server. This information is periodically transferred to one specific lithography-APC server and compiled into the database. This lithography-APC server periodically delivers the mask-information to every other lithography-APC server. Process-history data sharing system mainly consists of function of delivering process-history data. In shipping production lots to another fab, the product-related process-history data is delivered by the lithography-APC server from the shipping site. We have confirmed the function and effectiveness of data sharing systems.

  4. Data sharing by scientists: Practices and perceptions

    USGS Publications Warehouse

    Tenopir, C.; Allard, S.; Douglass, K.; Aydinoglu, A.U.; Wu, L.; Read, E.; Manoff, M.; Frame, M.

    2011-01-01

    Background: Scientific research in the 21st century is more data intensive and collaborative than in the past. It is important to study the data practices of researchers - data accessibility, discovery, re-use, preservation and, particularly, data sharing. Data sharing is a valuable part of the scientific method allowing for verification of results and extending research from prior results. Methodology/Principal Findings: A total of 1329 scientists participated in this survey exploring current data sharing practices and perceptions of the barriers and enablers of data sharing. Scientists do not make their data electronically available to others for various reasons, including insufficient time and lack of funding. Most respondents are satisfied with their current processes for the initial and short-term parts of the data or research lifecycle (collecting their research data; searching for, describing or cataloging, analyzing, and short-term storage of their data) but are not satisfied with long-term data preservation. Many organizations do not provide support to their researchers for data management both in the short- and long-term. If certain conditions are met (such as formal citation and sharing reprints) respondents agree they are willing to share their data. There are also significant differences and approaches in data management practices based on primary funding agency, subject discipline, age, work focus, and world region. Conclusions/Significance: Barriers to effective data sharing and preservation are deeply rooted in the practices and culture of the research process as well as the researchers themselves. New mandates for data management plans from NSF and other federal agencies and world-wide attention to the need to share and preserve data could lead to changes. Large scale programs, such as the NSF-sponsored DataNET (including projects like DataONE) will both bring attention and resources to the issue and make it easier for scientists to apply sound

  5. Color-coded prefilled medication syringes decrease time to delivery and dosing errors in simulated prehospital pediatric resuscitations: A randomized crossover trial.

    PubMed

    Stevens, Allen D; Hernandez, Caleb; Jones, Seth; Moreira, Maria E; Blumen, Jason R; Hopkins, Emily; Sande, Margaret; Bakes, Katherine; Haukoos, Jason S

    2015-11-01

    Medication dosing errors remain commonplace and may result in potentially life-threatening outcomes, particularly for pediatric patients where dosing often requires weight-based calculations. Novel medication delivery systems that may reduce dosing errors resonate with national healthcare priorities. Our goal was to evaluate novel, prefilled medication syringes labeled with color-coded volumes corresponding to the weight-based dosing of the Broselow Tape, compared to conventional medication administration, in simulated prehospital pediatric resuscitation scenarios. We performed a prospective, block-randomized, cross-over study, where 10 full-time paramedics each managed two simulated pediatric arrests in situ using either prefilled, color-coded syringes (intervention) or their own medication kits stocked with conventional ampoules (control). Each paramedic was paired with two emergency medical technicians to provide ventilations and compressions as directed. The ambulance patient compartment and the intravenous medication port were video recorded. Data were extracted from video review by blinded, independent reviewers. Median time to delivery of all doses for the intervention and control groups was 34 (95% CI: 28-39) seconds and 42 (95% CI: 36-51) seconds, respectively (difference=9 [95% CI: 4-14] seconds). Using the conventional method, 62 doses were administered with 24 (39%) critical dosing errors; using the prefilled, color-coded syringe method, 59 doses were administered with 0 (0%) critical dosing errors (difference=39%, 95% CI: 13-61%). A novel color-coded, prefilled syringe decreased time to medication administration and significantly reduced critical dosing errors by paramedics during simulated prehospital pediatric resuscitations. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  6. [Character of refractive errors in population study performed by the Area Military Medical Commission in Lodz].

    PubMed

    Nowak, Michał S; Goś, Roman; Smigielski, Janusz

    2008-01-01

    To determine the prevalence of refractive errors in population. A retrospective review of medical examinations for entry to the military service from The Area Military Medical Commission in Lodz. Ophthalmic examinations were performed. We used statistic analysis to review the results. Statistic analysis revealed that refractive errors occurred in 21.68% of the population. The most commen refractive error was myopia. 1) The most commen ocular diseases are refractive errors, especially myopia (21.68% in total). 2) Refractive surgery and contact lenses should be allowed as the possible correction of refractive errors for military service.

  7. Data sharing and dual-use issues.

    PubMed

    Bezuidenhout, Louise

    2013-03-01

    The concept of dual-use encapsulates the potential for well-intentioned, beneficial scientific research to also be misused by a third party for malicious ends. The concept of dual-use challenges scientists to look beyond the immediate outcomes of their research and to develop an awareness of possible future (mis)uses of scientific research. Since 2001 much attention has been paid to the possible need to regulate the dual-use potential of the life sciences. Regulation initiatives fall under two broad categories-those that develop the ethical education of scientists and foster an awareness and responsibility of dual-use issues, and those which assess the regulation of information being generated by current research. Both types of initiatives are premised on a cautious, risk-adverse philosophy which advocates careful examination of all future endpoints of research endeavors. This caution advocated within initiatives such as pre-publication review of journal articles contrasts to the obligation to share underpinning data sharing discussions. As the dual-use debate has yet to make a significant impact on data sharing discussions (and vice versa) it is possible that these two areas of knowledge control may present areas of ethical conflict for scientists, and thus need to be more closely examined. This paper examines the tension between the obligation to share exemplified by data sharing principles and the concerns raised by the risk-cautious culture of the dual-use debates. The paper concludes by reflecting on the issues of responsibility as raised by dual-use as relating to data sharing, such as the chain of custody for shared data.

  8. Iatrogenic disease management: moderating medication errors and risks in a pharmacy benefit management environment.

    PubMed

    Nair, Vinit; Salmon, J Warren; Kaul, Alan F

    2007-12-01

    Disease Management (DM) programs have advanced to address costly chronic disease patterns in populations. This is in part due to the programs' significant clinical and economical value, coupled with interest by pharmaceutical manufacturers, managed care organizations, and pharmacy benefit management firms. While cost containment realizations for many such interventions have been less than anticipated, this article explores potentials in marrying Medication Error Risk Reduction into DM programs within managed care environments. Medication errors are an emergent serious problem now gaining attention in US health policy. They represent a failure within population-based health programs because they remain significant cost drivers. Therefore, medication errors should be addressed in an organized fashion, with DM being a worthy candidate for piggybacking such programs to achieve the best synergistic effects.

  9. Integrated multimedia medical data agent in E-health.

    PubMed

    di Giacomo, P; Ricci, Fabrizio L; Bocchi, Leonardo

    2006-01-01

    E-Health is producing a great impact in the field of information distribution of the health services to the intra-hospital and the public. Previous researches have addressed the development of system architectures in the aim of integrating the distributed and heterogeneous medical information systems. The easing of difficulties in the sharing and management of medical data and the timely accessibility to these data is a critical need for health care providers. We have proposed a client-server agent that allows a portal to the every permitted Information System of the Hospital that consists of PACS, RIS and HIS via the Intranet and the Internet. Our proposed agent enables remote access into the usually closed information system of the hospital and a server that indexes all the medical data which allows for in-depth and complex search queries for data retrieval.

  10. Medical Data Transmission Using Cell Phone Networks

    NASA Astrophysics Data System (ADS)

    Voos, J.; Centeno, C.; Riva, G.; Zerbini, C.; Gonzalez, E.

    2011-12-01

    A big challenge in telemedicine systems is related to have the technical requirements needed for a successful implementation in remote locations where the available hardware and communication infrastructure is not adequate for a good medical data transmission. Despite of the wide standards availability, methodologies, applications and systems integration facilities in telemedicine, in many cases the implementation requirements are not achievable to allow the system execution in remote areas of our country. Therefore, this paper presents an alternative for the messages transmission related to medical studies using the cellular network and the standard HL7 V3 [1] for data modeling. The messages are transmitted to a web server and stored in a centralized database which allows data sharing with other specialists.

  11. Challenges for data storage in medical imaging research.

    PubMed

    Langer, Steve G

    2011-04-01

    Researchers in medical imaging have multiple challenges for storing, indexing, maintaining viability, and sharing their data. Addressing all these concerns requires a constellation of tools, but not all of them need to be local to the site. In particular, the data storage challenges faced by researchers can begin to require professional information technology skills. With limited human resources and funds, the medical imaging researcher may be better served with an outsourcing strategy for some management aspects. This paper outlines an approach to manage the main objectives faced by medical imaging scientists whose work includes processing and data mining on non-standard file formats, and relating those files to the their DICOM standard descendents. The capacity of the approach scales as the researcher's need grows by leveraging the on-demand provisioning ability of cloud computing.

  12. Shared decision-making in medical encounters regarding breast cancer treatment: the contribution of methodological triangulation.

    PubMed

    Durif-Bruckert, C; Roux, P; Morelle, M; Mignotte, H; Faure, C; Moumjid-Ferdjaoui, N

    2015-07-01

    The aim of this study on shared decision-making in the doctor-patient encounter about surgical treatment for early-stage breast cancer, conducted in a regional cancer centre in France, was to further the understanding of patient perceptions on shared decision-making. The study used methodological triangulation to collect data (both quantitative and qualitative) about patient preferences in the context of a clinical consultation in which surgeons followed a shared decision-making protocol. Data were analysed from a multi-disciplinary research perspective (social psychology and health economics). The triangulated data collection methods were questionnaires (n = 132), longitudinal interviews (n = 47) and observations of consultations (n = 26). Methodological triangulation revealed levels of divergence and complementarity between qualitative and quantitative results that suggest new perspectives on the three inter-related notions of decision-making, participation and information. Patients' responses revealed important differences between shared decision-making and participation per se. The authors note that subjecting patients to a normative behavioural model of shared decision-making in an era when paradigms of medical authority are shifting may undermine the patient's quest for what he or she believes is a more important right: a guarantee of the best care available. © 2014 John Wiley & Sons Ltd.

  13. HydroShare: An online, collaborative environment for the sharing of hydrologic data and models (Invited)

    NASA Astrophysics Data System (ADS)

    Tarboton, D. G.; Idaszak, R.; Horsburgh, J. S.; Ames, D.; Goodall, J. L.; Band, L. E.; Merwade, V.; Couch, A.; Arrigo, J.; Hooper, R. P.; Valentine, D. W.; Maidment, D. R.

    2013-12-01

    HydroShare is an online, collaborative system being developed for sharing hydrologic data and models. The goal of HydroShare is to enable scientists to easily discover and access data and models, retrieve them to their desktop or perform analyses in a distributed computing environment that may include grid, cloud or high performance computing model instances as necessary. Scientists may also publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform for sharing data, models and analyses. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated, creating new capability to share models and model components, and taking advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. One of the fundamental concepts in HydroShare is that of a Resource. All content is represented using a Resource Data Model that separates system and science metadata and has elements common to all resources as well as elements specific to the types of resources HydroShare will support. These will include different data types used in the hydrology community and models and workflows that require metadata on execution functionality. HydroShare will use the integrated Rule-Oriented Data System (iRODS) to manage federated data content and perform rule-based background actions on data and model resources, including parsing to generate metadata catalog information and the execution of models and workflows. This presentation will introduce the HydroShare functionality developed to date, describe key elements of the Resource Data Model and outline the roadmap for future development.

  14. Data Sharing: A New Editorial Initiative of the International Committee of Medical Journal Editors. Implications for the Editors´ Network

    PubMed Central

    Alfonso, Fernando; Adamyan, Karlen; Artigou, Jean-Yves; Aschermann, Michael; Boehm, Michael; Buendia, Alfonso; Chu, Pao-Hsien; Cohen, Ariel; Cas, Livio Dei; Dilic, Mirza; Doubell, Anton; Echeverri, Dario; Enç, Nuray; Ferreira-González, Ignacio; Filipiak, Krzysztof J.; Flammer, Andreas; Fleck, Eckart; Gatzov, Plamen; Ginghina, Carmen; Goncalves, Lino; Haouala, Habib; Hassanein, Mahmoud; Heusch, Gerd; Huber, Kurt; Hulín, Ivan; Ivanusa, Mario; Krittayaphong, Rungroj; Lau, Chu-Pak; Marinskis, Germanas; Mach, François; Moreira, Luiz Felipe; Nieminen, Tuomo; Oukerraj, Latifa; Perings, Stefan; Pierard, Luc; Potpara, Tatjana; Reyes-Caorsi, Walter; Rim, Se-Joong; Rødevand, Olaf; Saade, Georges; Sander, Mikael; Shlyakhto, Evgeny; Timuralp, Bilgin; Tousoulis, Dimitris; Ural, Dilek; Piek, J. J.; Varga, Albert; Lüscher, Thomas F.

    2017-01-01

    The International Committee of Medical Journal Editors (ICMJE) provides recommendations to improve the editorial standards and scientific quality of biomedical journals. These recommendations range from uniform technical requirements to more complex and elusive editorial issues including ethical aspects of the scientific process. Recently, registration of clinical trials, conflicts of interest disclosure, and new criteria for authorship - emphasizing the importance of responsibility and accountability-, have been proposed. Last year, a new editorial initiative to foster sharing of clinical trial data was launched. This review discusses this novel initiative with the aim of increasing awareness among readers, investigators, authors and editors belonging to the Editors´ Network of the European Society of Cardiology. PMID:28591318

  15. A simple tool for neuroimaging data sharing

    PubMed Central

    Haselgrove, Christian; Poline, Jean-Baptiste; Kennedy, David N.

    2014-01-01

    Data sharing is becoming increasingly common, but despite encouragement and facilitation by funding agencies, journals, and some research efforts, most neuroimaging data acquired today is still not shared due to political, financial, social, and technical barriers to sharing data that remain. In particular, technical solutions are few for researchers that are not a part of larger efforts with dedicated sharing infrastructures, and social barriers such as the time commitment required to share can keep data from becoming publicly available. We present a system for sharing neuroimaging data, designed to be simple to use and to provide benefit to the data provider. The system consists of a server at the International Neuroinformatics Coordinating Facility (INCF) and user tools for uploading data to the server. The primary design principle for the user tools is ease of use: the user identifies a directory containing Digital Imaging and Communications in Medicine (DICOM) data, provides their INCF Portal authentication, and provides identifiers for the subject and imaging session. The user tool anonymizes the data and sends it to the server. The server then runs quality control routines on the data, and the data and the quality control reports are made public. The user retains control of the data and may change the sharing policy as they need. The result is that in a few minutes of the user’s time, DICOM data can be anonymized and made publicly available, and an initial quality control assessment can be performed on the data. The system is currently functional, and user tools and access to the public image database are available at http://xnat.incf.org/. PMID:24904398

  16. Prescription errors before and after introduction of electronic medication alert system in a pediatric emergency department.

    PubMed

    Sethuraman, Usha; Kannikeswaran, Nirupama; Murray, Kyle P; Zidan, Marwan A; Chamberlain, James M

    2015-06-01

    Prescription errors occur frequently in pediatric emergency departments (PEDs).The effect of computerized physician order entry (CPOE) with electronic medication alert system (EMAS) on these is unknown. The objective was to compare prescription errors rates before and after introduction of CPOE with EMAS in a PED. The hypothesis was that CPOE with EMAS would significantly reduce the rate and severity of prescription errors in the PED. A prospective comparison of a sample of outpatient, medication prescriptions 5 months before and after CPOE with EMAS implementation (7,268 before and 7,292 after) was performed. Error types and rates, alert types and significance, and physician response were noted. Medication errors were deemed significant if there was a potential to cause life-threatening injury, failure of therapy, or an adverse drug effect. There was a significant reduction in the errors per 100 prescriptions (10.4 before vs. 7.3 after; absolute risk reduction = 3.1, 95% confidence interval [CI] = 2.2 to 4.0). Drug dosing error rates decreased from 8 to 5.4 per 100 (absolute risk reduction = 2.6, 95% CI = 1.8 to 3.4). Alerts were generated for 29.6% of prescriptions, with 45% involving drug dose range checking. The sensitivity of CPOE with EMAS in identifying errors in prescriptions was 45.1% (95% CI = 40.8% to 49.6%), and the specificity was 57% (95% CI = 55.6% to 58.5%). Prescribers modified 20% of the dosing alerts, resulting in the error not reaching the patient. Conversely, 11% of true dosing alerts for medication errors were overridden by the prescribers: 88 (11.3%) resulted in medication errors, and 684 (88.6%) were false-positive alerts. A CPOE with EMAS was associated with a decrease in overall prescription errors in our PED. Further system refinements are required to reduce the high false-positive alert rates. © 2015 by the Society for Academic Emergency Medicine.

  17. A Qualitative Analysis of Real-Time Continuous Glucose Monitoring Data Sharing with Care Partners: To Share or Not to Share?

    PubMed

    Litchman, Michelle L; Allen, Nancy A; Colicchio, Vanessa D; Wawrzynski, Sarah E; Sparling, Kerri M; Hendricks, Krissa L; Berg, Cynthia A

    2018-01-01

    Little research exists regarding how real-time continuous glucose monitoring (RT-CGM) data sharing plays a role in the relationship between patients and their care partners. To (1) identify the benefits and challenges related to RT-CGM data sharing from the patient and care partner perspective and (2) to explore the number and type of individuals who share and follow RT-CGM data. This qualitative content analysis was conducted by examining publicly available blogs focused on RT-CGM and data sharing. A thematic analysis of blogs and associated comments was conducted. A systematic appraisal of personal blogs examined 39 blogs with 206 corresponding comments. The results of the study provided insight about the benefits and challenges related to individuals with diabetes sharing their RT-CGM data with a care partner(s). The analysis resulted in three themes: (1) RT-CGM data sharing enhances feelings of safety, (2) the need to communicate boundaries to avoid judgment, and (3) choice about sharing and following RT-CGM data. RT-CGM data sharing occurred within dyads (n = 46), triads (n = 15), and tetrads (n = 2). Adults and children with type 1 diabetes and their care partners are empowered by the ability to share and follow RT-CGM data. Our findings suggest that RT-CGM data sharing between an individual with diabetes and their care partner can complicate relationships. Healthcare providers need to engage patients and care partners in discussions about best practices related to RT-CGM sharing and following to avoid frustrations within the relationship.

  18. Medical errors and uncertainty in primary healthcare: A comparative study of coping strategies among young and experienced GPs

    PubMed Central

    Kuikka, Liisa; Pitkälä, Kaisu

    2014-01-01

    Abstract Objective. To study coping differences between young and experienced GPs in primary care who experience medical errors and uncertainty. Design. Questionnaire-based survey (self-assessment) conducted in 2011. Setting. Finnish primary practice offices in Southern Finland. Subjects. Finnish GPs engaged in primary health care from two different respondent groups: young (working experience ≤ 5years, n = 85) and experienced (working experience > 5 years, n = 80). Main outcome measures. Outcome measures included experiences and attitudes expressed by the included participants towards medical errors and tolerance of uncertainty, their coping strategies, and factors that may influence (positively or negatively) sources of errors. Results. In total, 165/244 GPs responded (response rate: 68%). Young GPs expressed significantly more often fear of committing a medical error (70.2% vs. 48.1%, p = 0.004) and admitted more often than experienced GPs that they had committed a medical error during the past year (83.5% vs. 68.8%, p = 0.026). Young GPs were less prone to apologize to a patient for an error (44.7% vs. 65.0%, p = 0.009) and found, more often than their more experienced colleagues, on-site consultations and electronic databases useful for avoiding mistakes. Conclusion. Experienced GPs seem to better tolerate uncertainty and also seem to fear medical errors less than their young colleagues. Young and more experienced GPs use different coping strategies for dealing with medical errors. Implications. When GPs become more experienced, they seem to get better at coping with medical errors. Means to support these skills should be studied in future research. PMID:24914458

  19. Advancing Collaboration through Hydrologic Data and Model Sharing

    NASA Astrophysics Data System (ADS)

    Tarboton, D. G.; Idaszak, R.; Horsburgh, J. S.; Ames, D. P.; Goodall, J. L.; Band, L. E.; Merwade, V.; Couch, A.; Hooper, R. P.; Maidment, D. R.; Dash, P. K.; Stealey, M.; Yi, H.; Gan, T.; Castronova, A. M.; Miles, B.; Li, Z.; Morsy, M. M.

    2015-12-01

    HydroShare is an online, collaborative system for open sharing of hydrologic data, analytical tools, and models. It supports the sharing of and collaboration around "resources" which are defined primarily by standardized metadata, content data models for each resource type, and an overarching resource data model based on the Open Archives Initiative's Object Reuse and Exchange (OAI-ORE) standard and a hierarchical file packaging system called "BagIt". HydroShare expands the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated to include geospatial and multidimensional space-time datasets commonly used in hydrology. HydroShare also includes new capability for sharing models, model components, and analytical tools and will take advantage of emerging social media functionality to enhance information about and collaboration around hydrologic data and models. It also supports web services and server/cloud based computation operating on resources for the execution of hydrologic models and analysis and visualization of hydrologic data. HydroShare uses iRODS as a network file system for underlying storage of datasets and models. Collaboration is enabled by casting datasets and models as "social objects". Social functions include both private and public sharing, formation of collaborative groups of users, and value-added annotation of shared datasets and models. The HydroShare web interface and social media functions were developed using the Django web application framework coupled to iRODS. Data visualization and analysis is supported through the Tethys Platform web GIS software stack. Links to external systems are supported by RESTful web service interfaces to HydroShare's content. This presentation will introduce the HydroShare functionality developed to date and describe ongoing development of functionality to support collaboration and integration of data and models.

  20. Provider risk factors for medication administration error alerts: analyses of a large-scale closed-loop medication administration system using RFID and barcode.

    PubMed

    Hwang, Yeonsoo; Yoon, Dukyong; Ahn, Eun Kyoung; Hwang, Hee; Park, Rae Woong

    2016-12-01

    To determine the risk factors and rate of medication administration error (MAE) alerts by analyzing large-scale medication administration data and related error logs automatically recorded in a closed-loop medication administration system using radio-frequency identification and barcodes. The subject hospital adopted a closed-loop medication administration system. All medication administrations in the general wards were automatically recorded in real-time using radio-frequency identification, barcodes, and hand-held point-of-care devices. MAE alert logs recorded during a full 1 year of 2012. We evaluated risk factors for MAE alerts including administration time, order type, medication route, the number of medication doses administered, and factors associated with nurse practices by logistic regression analysis. A total of 2 874 539 medication dose records from 30 232 patients (882.6 patient-years) were included in 2012. We identified 35 082 MAE alerts (1.22% of total medication doses). The MAE alerts were significantly related to administration at non-standard time [odds ratio (OR) 1.559, 95% confidence interval (CI) 1.515-1.604], emergency order (OR 1.527, 95%CI 1.464-1.594), and the number of medication doses administered (OR 0.993, 95%CI 0.992-0.993). Medication route, nurse's employment duration, and working schedule were also significantly related. The MAE alert rate was 1.22% over the 1-year observation period in the hospital examined in this study. The MAE alerts were significantly related to administration time, order type, medication route, the number of medication doses administered, nurse's employment duration, and working schedule. The real-time closed-loop medication administration system contributed to improving patient safety by preventing potential MAEs. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

  1. Comparison of community and hospital pharmacists' attitudes and behaviors on medication error disclosure to the patient: A pilot study.

    PubMed

    Kim, ChungYun; Mazan, Jennifer L; Quiñones-Boex, Ana C

    To determine pharmacists' attitudes and behaviors on medication errors and their disclosure and to compare community and hospital pharmacists on such views. An online questionnaire was developed from previous studies on physicians' disclosure of errors. Questionnaire items included demographics, environment, personal experiences, and attitudes on medication errors and the disclosure process. An invitation to participate along with the link to the questionnaire was electronically distributed to members of two Illinois pharmacy associations. A follow-up reminder was sent 4 weeks after the original message. Data were collected for 3 months, and statistical analyses were performed with the use of IBM SPSS version 22.0. The overall response rate was 23.3% (n = 422). The average employed respondent was a 51-year-old white woman with a BS Pharmacy degree working in a hospital pharmacy as a clinical staff member. Regardless of practice settings, pharmacist respondents agreed that medication errors were inevitable and that a disclosure process is necessary. Respondents from community and hospital settings were further analyzed to assess any differences. Community pharmacist respondents were more likely to agree that medication errors were inevitable and that pharmacists should address the patient's emotions when disclosing an error. Community pharmacist respondents were also more likely to agree that the health care professional most closely involved with the error should disclose the error to the patient and thought that it was the pharmacists' responsibility to disclose the error. Hospital pharmacist respondents were more likely to agree that it was important to include all details in a disclosure process and more likely to disagree on putting a "positive spin" on the event. Regardless of practice setting, responding pharmacists generally agreed that errors should be disclosed to patients. There were, however, significant differences in their attitudes and behaviors

  2. xiSPEC: web-based visualization, analysis and sharing of proteomics data.

    PubMed

    Kolbowski, Lars; Combe, Colin; Rappsilber, Juri

    2018-05-08

    We present xiSPEC, a standard compliant, next-generation web-based spectrum viewer for visualizing, analyzing and sharing mass spectrometry data. Peptide-spectrum matches from standard proteomics and cross-linking experiments are supported. xiSPEC is to date the only browser-based tool supporting the standardized file formats mzML and mzIdentML defined by the proteomics standards initiative. Users can either upload data directly or select files from the PRIDE data repository as input. xiSPEC allows users to save and share their datasets publicly or password protected for providing access to collaborators or readers and reviewers of manuscripts. The identification table features advanced interaction controls and spectra are presented in three interconnected views: (i) annotated mass spectrum, (ii) peptide sequence fragmentation key and (iii) quality control error plots of matched fragments. Highlighting or selecting data points in any view is represented in all other views. Views are interactive scalable vector graphic elements, which can be exported, e.g. for use in publication. xiSPEC allows for re-annotation of spectra for easy hypothesis testing by modifying input data. xiSPEC is freely accessible at http://spectrumviewer.org and the source code is openly available on https://github.com/Rappsilber-Laboratory/xiSPEC.

  3. Bullying among nursing staff: relationship with psychological/behavioral responses of nurses and medical errors.

    PubMed

    Wright, Whitney; Khatri, Naresh

    2015-01-01

    The aim of this article is to examine the relationship between three types of bullying (person-related, work-related, and physically intimidating) with two types of outcomes (psychological/behavioral responses of nurses and medical errors). In addition, it investigates if the three types of bullying behaviors vary with age or gender of nurses and if the extent of bullying varies across different facilities in an institution. Nurses play an integral role in achieving safe and effective health care. To ensure nurses are functioning at their optimal level, health care organizations need to reduce negative components that impact nurses' job performance and their mental and physical health. Mitigating bullying from the workplace may be necessary to create and maintain a high-performing, caring, and safe hospital culture. Using an internal e-mail system, an e-mail requesting the participants to complete the questionnaire on Survey Monkey was sent to a sample of 1,078 nurses employed across three facilities at a university hospital system in the Midwest. Two hundred forty-one completed questionnaires were received with a response rate of 23%. Bullying was measured utilizing the Negative Acts Questionnaire-Revised (NAQ-R). Outcomes (psychological/behavioral responses of nurses and medical errors) were measured using Rosenstein and O'Daniel's (2008) modified scales. Person-related bullying showed significant positive relationships with psychological/behavioral responses and medical errors. Work-related bullying showed a significant positive relationship with psychological/behavioral responses, but not with medical errors. Physically intimidating bullying did not show a significant relationship to either outcome. Whereas person-related bullying was found to be negatively associated with age of nurses, physically intimidating bullying was positively associated with age. Male nurses experienced higher work-related bullying than female nurses. Findings from this study suggest

  4. A SOA-Based Platform to Support Clinical Data Sharing.

    PubMed

    Gazzarata, R; Giannini, B; Giacomini, M

    2017-01-01

    The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the "Interoperable" Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the "Interoperable" Tier, the current solution actually covers the "Connected" Tier, due to local hospital policy restrictions.

  5. Contemporary issues: The pre-licensure nursing student and medication errors.

    PubMed

    Green, Cheryl

    2018-06-01

    In Modern health care, the creation of cultures of safety for patients is of the upmost importance. Impacting the institutional stabilization of health care facilities safety initiatives, is the preparation of pre-licensure nursing students to safely administer medications to patients. Therefore, preparation of the pre-licensure nursing student must be evidence-based practice focused and incorporate innovative ways to reduce the potential for medication errors. Copyright © 2018. Published by Elsevier Ltd.

  6. Model-based cost-effectiveness analysis of interventions aimed at preventing medication error at hospital admission (medicines reconciliation).

    PubMed

    Karnon, Jonathan; Campbell, Fiona; Czoski-Murray, Carolyn

    2009-04-01

    Medication errors can lead to preventable adverse drug events (pADEs) that have significant cost and health implications. Errors often occur at care interfaces, and various interventions have been devised to reduce medication errors at the point of admission to hospital. The aim of this study is to assess the incremental costs and effects [measured as quality adjusted life years (QALYs)] of a range of such interventions for which evidence of effectiveness exists. A previously published medication errors model was adapted to describe the pathway of errors occurring at admission through to the occurrence of pADEs. The baseline model was populated using literature-based values, and then calibrated to observed outputs. Evidence of effects was derived from a systematic review of interventions aimed at preventing medication error at hospital admission. All five interventions, for which evidence of effectiveness was identified, are estimated to be extremely cost-effective when compared with the baseline scenario. Pharmacist-led reconciliation intervention has the highest expected net benefits, and a probability of being cost-effective of over 60% by a QALY value of pound10 000. The medication errors model provides reasonably strong evidence that some form of intervention to improve medicines reconciliation is a cost-effective use of NHS resources. The variation in the reported effectiveness of the few identified studies of medication error interventions illustrates the need for extreme attention to detail in the development of interventions, but also in their evaluation and may justify the primary evaluation of more than one specification of included interventions.

  7. [Shared decision-making in medical practice--patient-centred communication skills].

    PubMed

    van Staveren, Remke

    2011-01-01

    Most patients (70%) want to participate actively in important healthcare decisions, the rest (30%) prefer the doctor to make the decision for them. Shared decision-making provides more patient satisfaction, a better quality of life and contributes to a better doctor-patient relationship. Patients making their own decision generally make a well considered and medically sensible choice. In shared decision-making the doctor asks many open questions, gives and requests much information, asks if the patient wishes to participate in the decision-making and explicitly takes into account patient circumstances and preferences. Shared decision-making should remain an individual choice and should not become a new dogma.

  8. Medication Errors

    MedlinePlus

    ... at the health care provider's office, at the pharmacy, or at home. You can help prevent errors ... medicine and check to make sure that the pharmacy gave you the right medicine. Make sure that ...

  9. Minimum savings requirements in shared savings provider payment.

    PubMed

    Pope, Gregory C; Kautter, John

    2012-11-01

    Payer (insurer) sharing of savings is a way of motivating providers of medical services to reduce cost growth. A Medicare shared savings program is established for accountable care organizations in the 2010 Patient Protection and Affordable Care Act. However, savings created by providers cannot be distinguished from the normal (random) variation in medical claims costs, setting up a classic principal-agent problem. To lessen the likelihood of paying undeserved bonuses, payers may pay bonuses only if observed savings exceed minimum levels. We study the trade-off between two types of errors in setting minimum savings requirements: paying bonuses when providers do not create savings and not paying bonuses when providers create savings. Copyright © 2011 John Wiley & Sons, Ltd.

  10. Reduction of medication errors related to sliding scale insulin by the introduction of a standardized order sheet.

    PubMed

    Harada, Saki; Suzuki, Akio; Nishida, Shohei; Kobayashi, Ryo; Tamai, Sayuri; Kumada, Keisuke; Murakami, Nobuo; Itoh, Yoshinori

    2017-06-01

    Insulin is frequently used for glycemic control. Medication errors related to insulin are a common problem for medical institutions. Here, we prepared a standardized sliding scale insulin (SSI) order sheet and assessed the effect of its introduction. Observations before and after the introduction of the standardized SSI template were conducted at Gifu University Hospital. The incidence of medication errors, hyperglycemia, and hypoglycemia related to SSI were obtained from the electronic medical records. The introduction of the standardized SSI order sheet significantly reduced the incidence of medication errors related to SSI compared with that prior to its introduction (12/165 [7.3%] vs 4/159 [2.1%], P = .048). However, the incidence of hyperglycemia (≥250 mg/dL) and hypoglycemia (≤50 mg/dL) in patients who received SSI was not significantly different between the 2 groups. The introduction of the standardized SSI order sheet reduced the incidence of medication errors related to SSI. © 2016 John Wiley & Sons, Ltd.

  11. Axiope tools for data management and data sharing.

    PubMed

    Goddard, Nigel H; Cannon, Robert C; Howell, Fred W

    2003-01-01

    Many areas of biological research generate large volumes of very diverse data. Managing this data can be a difficult and time-consuming process, particularly in an academic environment where there are very limited resources for IT support staff such as database administrators. The most economical and efficient solutions are those that enable scientists with minimal IT expertise to control and operate their own desktop systems. Axiope provides one such solution, Catalyzer, which acts as flexible cataloging system for creating structured records describing digital resources. The user is able specify both the content and structure of the information included in the catalog. Information and resources can be shared by a variety of means, including automatically generated sets of web pages. Federation and integration of this information, where needed, is handled by Axiope's Mercat server. Where there is a need for standardization or compatibility of the structures usedby different researchers this canbe achieved later by applying user-defined mappings in Mercat. In this way, large-scale data sharing can be achieved without imposing unnecessary constraints or interfering with the way in which individual scientists choose to record and catalog their work. We summarize the key technical issues involved in scientific data management and data sharing, describe the main features and functionality of Axiope Catalyzer and Axiope Mercat, and discuss future directions and requirements for an information infrastructure to support large-scale data sharing and scientific collaboration.

  12. Win–win data sharing in neuroscience

    PubMed Central

    Ascoli, Giorgio A; Maraver, Patricia; Nanda, Sumit; Polavaram, Sridevi; Armañanzas, Rubén

    2017-01-01

    Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users. PMID:28139675

  13. Perceptions and Attitudes towards Medication Error Reporting in Primary Care Clinics: A Qualitative Study in Malaysia

    PubMed Central

    Samsiah, A.; Othman, Noordin; Jamshed, Shazia; Hassali, Mohamed Azmi

    2016-01-01

    Objective To explore and understand participants’ perceptions and attitudes towards the reporting of medication errors (MEs). Methods A qualitative study using in-depth interviews of 31 healthcare practitioners from nine publicly funded, primary care clinics in three states in peninsular Malaysia was conducted for this study. The participants included family medicine specialists, doctors, pharmacists, pharmacist assistants, nurses and assistant medical officers. The interviews were audiotaped and transcribed verbatim. Analysis of the data was guided by the framework approach. Results Six themes and 28 codes were identified. Despite the availability of a reporting system, most of the participants agreed that MEs were underreported. The nature of the error plays an important role in determining the reporting. The reporting system, organisational factors, provider factors, reporter’s burden and benefit of reporting also were identified. Conclusions Healthcare practitioners in primary care clinics understood the importance of reporting MEs to improve patient safety. Their perceptions and attitudes towards reporting of MEs were influenced by many factors which affect the decision-making process of whether or not to report. Although the process is complex, it primarily is determined by the severity of the outcome of the errors. The participants voluntarily report the errors if they are familiar with the reporting system, what error to report, when to report and what form to use. PMID:27906960

  14. Simple prescribing errors and allergy documentation in medical hospital admissions in Australia and New Zealand.

    PubMed

    Barton, Lorna; Futtermenger, Judith; Gaddi, Yash; Kang, Angela; Rivers, Jon; Spriggs, David; Jenkins, Paul F; Thompson, Campbell H; Thomas, Josephine S

    2012-04-01

    This study aimed to quantify and compare the prevalence of simple prescribing errors made by clinicians in the first 24 hours of a general medical patient's hospital admission. Four public or private acute care hospitals across Australia and New Zealand each audited 200 patients' drug charts. Patient demographics, pharmacist review and pre-defined prescribing errors were recorded. At least one simple error was present on the medication charts of 672/715 patients, with a linear relationship between the number of medications prescribed and the number of errors (r = 0.571, p < 0.001). The four sites differed significantly in the prevalence of different types of simple prescribing errors. Pharmacists were more likely to review patients aged > or = 75 years (39.9% vs 26.0%; p < 0.001) and those with more than 10 drug prescriptions (39.4% vs 25.7%; p < 0.001). Patients reviewed by a pharmacist were less likely to have inadequate documentation of allergies (13.5% vs 29.4%, p < 0.001). Simple prescribing errors are common, although their nature differs from site to site. Clinical pharmacists target patients with the most complex health situations, and their involvement leads to improved documentation.

  15. The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis

    PubMed Central

    2014-01-01

    Background The Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors. Methods Articles were identified using MEDLINE, Cochrane Library, Econlit, web-based databases, and bibliographies of previous systematic reviews (September 2013). Eligible studies compared CPOE with paper-order entry in acute care hospitals, and examined diverse pADEs or medication errors. Studies on children or with limited event-detection methods were excluded. Two investigators extracted data on events and factors potentially associated with effectiveness. We used random effects models to pool data. Results Sixteen studies addressing medication errors met pooling criteria; six also addressed pADEs. Thirteen studies used pre-post designs. Compared with paper-order entry, CPOE was associated with half as many pADEs (pooled risk ratio (RR) = 0.47, 95% CI 0.31 to 0.71) and medication errors (RR = 0.46, 95% CI 0.35 to 0.60). Regarding reasons for heterogeneous effects on medication errors, five intervention factors and two contextual factors were sufficiently reported to support subgroup analyses or meta-regression. Differences between commercial versus homegrown systems, presence and sophistication of clinical decision support, hospital-wide versus limited implementation, and US versus non-US studies were not significant, nor was timing of publication. Higher baseline rates of medication errors predicted greater reductions (P < 0.001). Other context and

  16. Exploring behavioural determinants relating to health professional reporting of medication errors: a qualitative study using the Theoretical Domains Framework.

    PubMed

    Alqubaisi, Mai; Tonna, Antonella; Strath, Alison; Stewart, Derek

    2016-07-01

    Effective and efficient medication reporting processes are essential in promoting patient safety. Few qualitative studies have explored reporting of medication errors by health professionals, and none have made reference to behavioural theories. The objective was to describe and understand the behavioural determinants of health professional reporting of medication errors in the United Arab Emirates (UAE). This was a qualitative study comprising face-to-face, semi-structured interviews within three major medical/surgical hospitals of Abu Dhabi, the UAE. Health professionals were sampled purposively in strata of profession and years of experience. The semi-structured interview schedule focused on behavioural determinants around medication error reporting, facilitators, barriers and experiences. The Theoretical Domains Framework (TDF; a framework of theories of behaviour change) was used as a coding framework. Ethical approval was obtained from a UK university and all participating hospital ethics committees. Data saturation was achieved after interviewing ten nurses, ten pharmacists and nine physicians. Whilst it appeared that patient safety and organisational improvement goals and intentions were behavioural determinants which facilitated reporting, there were key determinants which deterred reporting. These included the beliefs of the consequences of reporting (lack of any feedback following reporting and impacting professional reputation, relationships and career progression), emotions (fear and worry) and issues related to the environmental context (time taken to report). These key behavioural determinants which negatively impact error reporting can facilitate the development of an intervention, centring on organisational safety and reporting culture, to enhance reporting effectiveness and efficiency.

  17. Is a shift from research on individual medical error to research on health information technology underway? A 40-year analysis of publication trends in medical journals.

    PubMed

    Erlewein, Daniel; Bruni, Tommaso; Gadebusch Bondio, Mariacarla

    2018-06-07

    In 1983, McIntyre and Popper underscored the need for more openness in dealing with errors in medicine. Since then, much has been written on individual medical errors. Furthermore, at the beginning of the 21st century, researchers and medical practitioners increasingly approached individual medical errors through health information technology. Hence, the question arises whether the attention of biomedical researchers shifted from individual medical errors to health information technology. We ran a study to determine publication trends concerning individual medical errors and health information technology in medical journals over the last 40 years. We used the Medical Subject Headings (MeSH) taxonomy in the database MEDLINE. Each year, we analyzed the percentage of relevant publications to the total number of publications in MEDLINE. The trends identified were tested for statistical significance. Our analysis showed that the percentage of publications dealing with individual medical errors increased from 1976 until the beginning of the 21st century but began to drop in 2003. Both the upward and the downward trends were statistically significant (P < 0.001). A breakdown by country revealed that it was the weight of the US and British publications that determined the overall downward trend after 2003. On the other hand, the percentage of publications dealing with health information technology doubled between 2003 and 2015. The upward trend was statistically significant (P < 0.001). The identified trends suggest that the attention of biomedical researchers partially shifted from individual medical errors to health information technology in the USA and the UK. © 2018 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.

  18. Color-coded prefilled medication syringes decrease time to delivery and dosing errors in simulated prehospital pediatric resuscitations: A randomized crossover trial☆, ☆

    PubMed Central

    Stevens, Allen D.; Hernandez, Caleb; Jones, Seth; Moreira, Maria E.; Blumen, Jason R.; Hopkins, Emily; Sande, Margaret; Bakes, Katherine; Haukoos, Jason S.

    2016-01-01

    Background Medication dosing errors remain commonplace and may result in potentially life-threatening outcomes, particularly for pediatric patients where dosing often requires weight-based calculations. Novel medication delivery systems that may reduce dosing errors resonate with national healthcare priorities. Our goal was to evaluate novel, prefilled medication syringes labeled with color-coded volumes corresponding to the weight-based dosing of the Broselow Tape, compared to conventional medication administration, in simulated prehospital pediatric resuscitation scenarios. Methods We performed a prospective, block-randomized, cross-over study, where 10 full-time paramedics each managed two simulated pediatric arrests in situ using either prefilled, color-coded-syringes (intervention) or their own medication kits stocked with conventional ampoules (control). Each paramedic was paired with two emergency medical technicians to provide ventilations and compressions as directed. The ambulance patient compartment and the intravenous medication port were video recorded. Data were extracted from video review by blinded, independent reviewers. Results Median time to delivery of all doses for the intervention and control groups was 34 (95% CI: 28–39) seconds and 42 (95% CI: 36–51) seconds, respectively (difference = 9 [95% CI: 4–14] seconds). Using the conventional method, 62 doses were administered with 24 (39%) critical dosing errors; using the prefilled, color-coded syringe method, 59 doses were administered with 0 (0%) critical dosing errors (difference = 39%, 95% CI: 13–61%). Conclusions A novel color-coded, prefilled syringe decreased time to medication administration and significantly reduced critical dosing errors by paramedics during simulated prehospital pediatric resuscitations. PMID:26247145

  19. The District Nursing Clinical Error Reduction Programme.

    PubMed

    McGraw, Caroline; Topping, Claire

    2011-01-01

    The District Nursing Clinical Error Reduction (DANCER) Programme was initiated in NHS Islington following an increase in the number of reported medication errors. The objectives were to reduce the actual degree of harm and the potential risk of harm associated with medication errors and to maintain the existing positive reporting culture, while robustly addressing performance issues. One hundred medication errors reported in 2007/08 were analysed using a framework that specifies the factors that predispose to adverse medication events in domiciliary care. Various contributory factors were identified and interventions were subsequently developed to address poor drug calculation and medication problem-solving skills and incorrectly transcribed medication administration record charts. Follow up data were obtained at 12 months and two years. The evaluation has shown that although medication errors do still occur, the programme has resulted in a marked shift towards a reduction in the associated actual degree of harm and the potential risk of harm.

  20. A game theoretic analysis of research data sharing.

    PubMed

    Pronk, Tessa E; Wiersma, Paulien H; van Weerden, Anne; Schieving, Feike

    2015-01-01

    While reusing research data has evident benefits for the scientific community as a whole, decisions to archive and share these data are primarily made by individual researchers. In this paper we analyse, within a game theoretical framework, how sharing and reuse of research data affect individuals who share or do not share their datasets. We construct a model in which there is a cost associated with sharing datasets whereas reusing such sets implies a benefit. In our calculations, conflicting interests appear for researchers. Individual researchers are always better off not sharing and omitting the sharing cost, at the same time both sharing and not sharing researchers are better off if (almost) all researchers share. Namely, the more researchers share, the more benefit can be gained by the reuse of those datasets. We simulated several policy measures to increase benefits for researchers sharing or reusing datasets. Results point out that, although policies should be able to increase the rate of sharing researchers, and increased discoverability and dataset quality could partly compensate for costs, a better measure would be to directly lower the cost for sharing, or even turn it into a (citation-) benefit. Making data available would in that case become the most profitable, and therefore stable, strategy. This means researchers would willingly make their datasets available, and arguably in the best possible way to enable reuse.

  1. Medication Administration Errors in an Adult Emergency Department of a Tertiary Health Care Facility in Ghana.

    PubMed

    Acheampong, Franklin; Tetteh, Ashalley Raymond; Anto, Berko Panyin

    2016-12-01

    This study determined the incidence, types, clinical significance, and potential causes of medication administration errors (MAEs) at the emergency department (ED) of a tertiary health care facility in Ghana. This study used a cross-sectional nonparticipant observational technique. Study participants (nurses) were observed preparing and administering medication at the ED of a 2000-bed tertiary care hospital in Accra, Ghana. The observations were then compared with patients' medication charts, and identified errors were clarified with staff for possible causes. Of the 1332 observations made, involving 338 patients and 49 nurses, 362 had errors, representing 27.2%. However, the error rate excluding "lack of drug availability" fell to 12.8%. Without wrong time error, the error rate was 22.8%. The 2 most frequent error types were omission (n = 281, 77.6%) and wrong time (n = 58, 16%) errors. Omission error was mainly due to unavailability of medicine, 48.9% (n = 177). Although only one of the errors was potentially fatal, 26.7% were definitely clinically severe. The common themes that dominated the probable causes of MAEs were unavailability, staff factors, patient factors, prescription, and communication problems. This study gives credence to similar studies in different settings that MAEs occur frequently in the ED of hospitals. Most of the errors identified were not potentially fatal; however, preventive strategies need to be used to make life-saving processes such as drug administration in such specialized units error-free.

  2. [Job-sharing in postgraduate medical training: not automatically a nice duet].

    PubMed

    Levi, M

    2004-02-14

    Part-time work is an increasingly common phenomenon amongst medical professionals. Therefore many postgraduate training programmes for resident physicians also offer the opportunity of part-time work, which is usually in the form of an 80% full-time equivalent post. A new initiative has created the possibility of job-sharing, in which each of the participants fulfills 50% of one training position. Although the experience of the participants is mainly positive, it is unclear how this development will impact the quality of patient care and how it will affect the fulfillment of the training objectives. A more systematic evaluation of job-sharing in postgraduate medical training programmes is required to clarify these points.

  3. A bundle with a preformatted medical order sheet and an introductory course to reduce prescription errors in neonates.

    PubMed

    Palmero, David; Di Paolo, Ermindo R; Beauport, Lydie; Pannatier, André; Tolsa, Jean-François

    2016-01-01

    The objective of this study was to assess whether the introduction of a new preformatted medical order sheet coupled with an introductory course affected prescription quality and the frequency of errors during the prescription stage in a neonatal intensive care unit (NICU). Two-phase observational study consisting of two consecutive 4-month phases: pre-intervention (phase 0) and post-intervention (phase I) conducted in an 11-bed NICU in a Swiss university hospital. Interventions consisted of the introduction of a new preformatted medical order sheet with explicit information supplied, coupled with a staff introductory course on appropriate prescription and medication errors. The main outcomes measured were formal aspects of prescription and frequency and nature of prescription errors. Eighty-three and 81 patients were included in phase 0 and phase I, respectively. A total of 505 handwritten prescriptions in phase 0 and 525 in phase I were analysed. The rate of prescription errors decreased significantly from 28.9% in phase 0 to 13.5% in phase I (p < 0.05). Compared with phase 0, dose errors, name confusion and errors in frequency and rate of drug administration decreased in phase I, from 5.4 to 2.7% (p < 0.05), 5.9 to 0.2% (p < 0.05), 3.6 to 0.2% (p < 0.05), and 4.7 to 2.1% (p < 0.05), respectively. The rate of incomplete and ambiguous prescriptions decreased from 44.2 to 25.7 and 8.5 to 3.2% (p < 0.05), respectively. Inexpensive and simple interventions can improve the intelligibility of prescriptions and reduce medication errors. Medication errors are frequent in NICUs and prescription is one of the most critical steps. CPOE reduce prescription errors, but their implementation is not available everywhere. Preformatted medical order sheet coupled with an introductory course decrease medication errors in a NICU. Preformatted medical order sheet is an inexpensive and readily implemented alternative to CPOE.

  4. Shared control of a medical robot with haptic guidance.

    PubMed

    Xiong, Linfei; Chng, Chin Boon; Chui, Chee Kong; Yu, Peiwu; Li, Yao

    2017-01-01

    Tele-operation of robotic surgery reduces the radiation exposure during the interventional radiological operations. However, endoscope vision without force feedback on the surgical tool increases the difficulty for precise manipulation and the risk of tissue damage. The shared control of vision and force provides a novel approach of enhanced control with haptic guidance, which could lead to subtle dexterity and better maneuvrability during MIS surgery. The paper provides an innovative shared control method for robotic minimally invasive surgery system, in which vision and haptic feedback are incorporated to provide guidance cues to the clinician during surgery. The incremental potential field (IPF) method is utilized to generate a guidance path based on the anatomy of tissue and surgical tool interaction. Haptic guidance is provided at the master end to assist the clinician during tele-operative surgical robotic task. The approach has been validated with path following and virtual tumor targeting experiments. The experiment results demonstrate that comparing with vision only guidance, the shared control with vision and haptics improved the accuracy and efficiency of surgical robotic manipulation, where the tool-position error distance and execution time are reduced. The validation experiment demonstrates that the shared control approach could help the surgical robot system provide stable assistance and precise performance to execute the designated surgical task. The methodology could also be implemented with other surgical robot with different surgical tools and applications.

  5. To share or not to share? Expected pros and cons of data sharing in radiological research.

    PubMed

    Sardanelli, Francesco; Alì, Marco; Hunink, Myriam G; Houssami, Nehmat; Sconfienza, Luca M; Di Leo, Giovanni

    2018-06-01

    The aims of this paper are to illustrate the trend towards data sharing, i.e. the regulated availability of the original patient-level data obtained during a study, and to discuss the expected advantages (pros) and disadvantages (cons) of data sharing in radiological research. Expected pros include the potential for verification of original results with alternative or supplementary analyses (including estimation of reproducibility), advancement of knowledge by providing new results by testing new hypotheses (not explored by the original authors) on pre-existing databases, larger scale analyses based on individual-patient data, enhanced multidisciplinary cooperation, reduced publication of false studies, improved clinical practice, and reduced cost and time for clinical research. Expected cons are outlined as the risk that the original authors could not exploit the entire potential of the data they obtained, possible failures in patients' privacy protection, technical barriers such as the lack of standard formats, and possible data misinterpretation. Finally, open issues regarding data ownership, the role of individual patients, advocacy groups and funding institutions in decision making about sharing of data and images are discussed. • Regulated availability of patient-level data of published clinical studies (data-sharing) is expected. • Expected benefits include verification/advancement of knowledge, reduced cost/time of research, clinical improvement. • Potential drawbacks include faults in patients' identity protection and data misinterpretation.

  6. Fusing metabolomics data sets with heterogeneous measurement errors

    PubMed Central

    Waaijenborg, Sandra; Korobko, Oksana; Willems van Dijk, Ko; Lips, Mirjam; Hankemeier, Thomas; Wilderjans, Tom F.; Smilde, Age K.

    2018-01-01

    Combining different metabolomics platforms can contribute significantly to the discovery of complementary processes expressed under different conditions. However, analysing the fused data might be hampered by the difference in their quality. In metabolomics data, one often observes that measurement errors increase with increasing measurement level and that different platforms have different measurement error variance. In this paper we compare three different approaches to correct for the measurement error heterogeneity, by transformation of the raw data, by weighted filtering before modelling and by a modelling approach using a weighted sum of residuals. For an illustration of these different approaches we analyse data from healthy obese and diabetic obese individuals, obtained from two metabolomics platforms. Concluding, the filtering and modelling approaches that both estimate a model of the measurement error did not outperform the data transformation approaches for this application. This is probably due to the limited difference in measurement error and the fact that estimation of measurement error models is unstable due to the small number of repeats available. A transformation of the data improves the classification of the two groups. PMID:29698490

  7. Medical Content Searching, Retrieving, and Sharing Over the Internet: Lessons Learned From the mEducator Through a Scenario-Based Evaluation

    PubMed Central

    Spachos, Dimitris; Mylläri, Jarkko; Giordano, Daniela; Dafli, Eleni; Mitsopoulou, Evangelia; Schizas, Christos N; Pattichis, Constantinos; Nikolaidou, Maria

    2015-01-01

    Background The mEducator Best Practice Network (BPN) implemented and extended standards and reference models in e-learning to develop innovative frameworks as well as solutions that enable specialized state-of-the-art medical educational content to be discovered, retrieved, shared, and re-purposed across European Institutions, targeting medical students, doctors, educators and health care professionals. Scenario-based evaluation for usability testing, complemented with data from online questionnaires and field notes of users’ performance, was designed and utilized for the evaluation of these solutions. Objective The objective of this work is twofold: (1) to describe one instantiation of the mEducator BPN solutions (mEducator3.0 - “MEdical Education LINnked Arena” MELINA+) with a focus on the metadata schema used, as well as on other aspects of the system that pertain to usability and acceptance, and (2) to present evaluation results on the suitability of the proposed metadata schema for searching, retrieving, and sharing of medical content and with respect to the overall usability and acceptance of the system from the target users. Methods A comprehensive evaluation methodology framework was developed and applied to four case studies, which were conducted in four different countries (ie, Greece, Cyprus, Bulgaria and Romania), with a total of 126 participants. In these case studies, scenarios referring to creating, sharing, and retrieving medical educational content using mEducator3.0 were used. The data were collected through two online questionnaires, consisting of 36 closed-ended questions and two open-ended questions that referred to mEducator 3.0 and through the use of field notes during scenario-based evaluations. Results The main findings of the study showed that even though the informational needs of the mEducator target groups were addressed to a satisfactory extent and the metadata schema supported content creation, sharing, and retrieval from an end

  8. Data Standards for Omics Data: The Basis of Data Sharing and Reuse

    PubMed Central

    Chervitz, Stephen A.; Deutsch, Eric W.; Field, Dawn; Parkinson, Helen; Quackenbush, John; Rocca-Serra, Phillipe; Sansone, Susanna-Assunta; Stoeckert, Christian J.; Taylor, Chris F.; Taylor, Ronald; Ball, Catherine A.

    2014-01-01

    To facilitate sharing of Omics data, many groups of scientists have been working to establish the relevant data standards. The main components of data sharing standards are experiment description standards, data exchange standards, terminology standards, and experiment execution standards. Here we provide a survey of existing and emerging standards that are intended to assist the free and open exchange of large-format data. PMID:21370078

  9. Challenges in sharing of geospatial data by data custodians in South Africa

    NASA Astrophysics Data System (ADS)

    Kay, Sissiel E.

    2018-05-01

    As most development planning and rendering of public services happens at a place or in a space, geospatial data is required. This geospatial data is best managed through a spatial data infrastructure, which has as a key objective to share geospatial data. The collection and maintenance of geospatial data is expensive and time consuming and so the principle of "collect once - use many times" should apply. It is best to obtain the geospatial data from the authoritative source - the appointed data custodian. In South Africa the South African Spatial Data Infrastructure (SASDI) is the means to achieve the requirement for geospatial data sharing. This requires geospatial data sharing to take place between the data custodian and the user. All data custodians are expected to comply with the Spatial Data Infrastructure Act (SDI Act) in terms of geo-spatial data sharing. Currently data custodians are experiencing challenges with regard to the sharing of geospatial data. This research is based on the current ten data themes selected by the Committee for Spatial Information and the organisations identified as the data custodians for these ten data themes. The objectives are to determine whether the identified data custodians comply with the SDI Act with respect to geospatial data sharing, and if not what are the reasons for this. Through an international comparative assessment it then determines if the compliance with the SDI Act is not too onerous on the data custodians. The research concludes that there are challenges with geospatial data sharing in South Africa and that the data custodians only partially comply with the SDI Act in terms of geospatial data sharing. However, it is shown that the South African legislation is not too onerous on the data custodians.

  10. Privacy Risks from Genomic Data-Sharing Beacons

    PubMed Central

    Shringarpure, Suyash S.; Bustamante, Carlos D.

    2015-01-01

    The human genetics community needs robust protocols that enable secure sharing of genomic data from participants in genetic research. Beacons are web servers that answer allele-presence queries—such as “Do you have a genome that has a specific nucleotide (e.g., A) at a specific genomic position (e.g., position 11,272 on chromosome 1)?”—with either “yes” or “no.” Here, we show that individuals in a beacon are susceptible to re-identification even if the only data shared include presence or absence information about alleles in a beacon. Specifically, we propose a likelihood-ratio test of whether a given individual is present in a given genetic beacon. Our test is not dependent on allele frequencies and is the most powerful test for a specified false-positive rate. Through simulations, we showed that in a beacon with 1,000 individuals, re-identification is possible with just 5,000 queries. Relatives can also be identified in the beacon. Re-identification is possible even in the presence of sequencing errors and variant-calling differences. In a beacon constructed with 65 European individuals from the 1000 Genomes Project, we demonstrated that it is possible to detect membership in the beacon with just 250 SNPs. With just 1,000 SNP queries, we were able to detect the presence of an individual genome from the Personal Genome Project in an existing beacon. Our results show that beacons can disclose membership and implied phenotypic information about participants and do not protect privacy a priori. We discuss risk mitigation through policies and standards such as not allowing anonymous pings of genetic beacons and requiring minimum beacon sizes. PMID:26522470

  11. Meteorological Error Budget Using Open Source Data

    DTIC Science & Technology

    2016-09-01

    ARL-TR-7831 ● SEP 2016 US Army Research Laboratory Meteorological Error Budget Using Open- Source Data by J Cogan, J Smith, P...needed. Do not return it to the originator. ARL-TR-7831 ● SEP 2016 US Army Research Laboratory Meteorological Error Budget Using...Error Budget Using Open-Source Data 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) J Cogan, J Smith, P Haines

  12. 12 CFR 717.32 - Sharing medical information with affiliates.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... term “consumer report” in section 603(d)(2) of the Act that allow the sharing of information with... term “consumer report” in section 603(d)(2) of the Act to communicate the information in paragraph (b...) An individualized list or description based on the payment transactions of the consumer for medical...

  13. Integrating TRENCADIS components in gLite to share DICOM medical images and structured reports.

    PubMed

    Blanquer, Ignacio; Hernández, Vicente; Salavert, José; Segrelles, Damià

    2010-01-01

    The problem of sharing medical information among different centres has been tackled by many projects. Several of them target the specific problem of sharing DICOM images and structured reports (DICOM-SR), such as the TRENCADIS project. In this paper we propose sharing and organizing DICOM data and DICOM-SR metadata benefiting from the existent deployed Grid infrastructures compliant with gLite such as EGEE or the Spanish NGI. These infrastructures contribute with a large amount of storage resources for creating knowledge databases and also provide metadata storage resources (such as AMGA) to semantically organize reports in a tree-structure. First, in this paper, we present the extension of TRENCADIS architecture to use gLite components (LFC, AMGA, SE) on the shake of increasing interoperability. Using the metadata from DICOM-SR, and maintaining its tree structure, enables federating different but compatible diagnostic structures and simplifies the definition of complex queries. This article describes how to do this in AMGA and it shows an approach to efficiently code radiology reports to enable the multi-centre federation of data resources.

  14. Data Democratization - Promoting Real-Time Data Sharing and Use Worldwide

    NASA Astrophysics Data System (ADS)

    Yoksas, T. C.; Almeida, W. G.; Leon, V. C.

    2007-05-01

    The Unidata Program Center (Unidata) of the University Corporation of Atmospheric Research (UCAR) is actively involved in international collaborations whose goals are the free-and-open sharing of hydro-meteorological data; the distribution of analysis and visualization tools for those data; the establishment of server technologies that provide easy-to-use, programmatic remote-access to a wide variety of datasets, and in the building of a community where data, tools, and best practices in education and research are shared. The tools and services provided by Unidata are available to the research and education community free-of-charge. Data sharing capabilities are being provided by Unidata's Internet Data Distribution (IDD) system, a community-based effort that has been the primary source of real-time meteorological data in the US university community for over a decade. A collaboration among Unidata, Brazil's Centro de Previso de Tempo e Estudos Climaticos (CPTEC), the Universidad Federal do Rio de Janeiro (UFRJ), and the Universidade de Sao Paulo (USP) has resulted in the creation of a Brazilian peer of the North American IDD, the IDD-Brasil. Collaboration between Unidata and the Universidad de Costa Rica (UCR) seeks to extend IDD data sharing throughout Central America and the Caribbean in an IDD-Caribe. Efforts aimed at creating a data sharing network for researchers on the Antarctic continent have resulted in the establishment of the Antarctic-IDD. Most recently, explorations of data sharing between UCAR and select countries in Africa have begun. Data analysis and visualization capabilities are available through Unidata in a suite of freely-available applications: the National Centers for Environmental Prediction (NCEP) GEneral Meteorology PAcKage (GEMPAK); the Unidata Integrated Data Viewer (IDV); and University of Wisconsin, Space Science and Engineering Center (SSEC) Man-computer Interactive Data Access System (McIDAS). Remote data access capabilities are

  15. Associations between communication climate and the frequency of medical error reporting among pharmacists within an inpatient setting.

    PubMed

    Patterson, Mark E; Pace, Heather A; Fincham, Jack E

    2013-09-01

    Although error-reporting systems enable hospitals to accurately track safety climate through the identification of adverse events, these systems may be underused within a work climate of poor communication. The objective of this analysis is to identify the extent to which perceived communication climate among hospital pharmacists impacts medical error reporting rates. This cross-sectional study used survey responses from more than 5000 pharmacists responding to the 2010 Hospital Survey on Patient Safety Culture (HSOPSC). Two composite scores were constructed for "communication openness" and "feedback and about error," respectively. Error reporting frequency was defined from the survey question, "In the past 12 months, how many event reports have you filled out and submitted?" Multivariable logistic regressions were used to estimate the likelihood of medical error reporting conditional upon communication openness or feedback levels, controlling for pharmacist years of experience, hospital geographic region, and ownership status. Pharmacists with higher communication openness scores compared with lower scores were 40% more likely to have filed or submitted a medical error report in the past 12 months (OR, 1.4; 95% CI, 1.1-1.7; P = 0.004). In contrast, pharmacists with higher communication feedback scores were not any more likely than those with lower scores to have filed or submitted a medical report in the past 12 months (OR, 1.0; 95% CI, 0.8-1.3; P = 0.97). Hospital work climates that encourage pharmacists to freely communicate about problems related to patient safety is conducive to medical error reporting. The presence of feedback infrastructures about error may not be sufficient to induce error-reporting behavior.

  16. Implementation methods of medical image sharing for collaborative health care based on IHE XDS-I profile

    PubMed Central

    Zhang, Jianguo; Zhang, Kai; Yang, Yuanyuan; Sun, Jianyong; Ling, Tonghui; Wang, Mingqing; Bak, Peter

    2015-01-01

    Abstract. IHE XDS-I profile proposes an architecture model for cross-enterprise medical image sharing, but there are only a few clinical implementations reported. Here, we investigate three pilot studies based on the IHE XDS-I profile to see whether we can use this architecture as a foundation for image sharing solutions in a variety of health-care settings. The first pilot study was image sharing for cross-enterprise health care with federated integration, which was implemented in Huadong Hospital and Shanghai Sixth People’s Hospital within the Shanghai Shen-Kang Hospital Management Center; the second pilot study was XDS-I–based patient-controlled image sharing solution, which was implemented by the Radiological Society of North America (RSNA) team in the USA; and the third pilot study was collaborative imaging diagnosis with electronic health-care record integration in regional health care, which was implemented in two districts in Shanghai. In order to support these pilot studies, we designed and developed new image access methods, components, and data models such as RAD-69/WADO hybrid image retrieval, RSNA clearinghouse, and extension of metadata definitions in both the submission set and the cross-enterprise document sharing (XDS) registry. We identified several key issues that impact the implementation of XDS-I in practical applications, and conclude that the IHE XDS-I profile is a theoretically good architecture and a useful foundation for medical image sharing solutions across multiple regional health-care providers. PMID:26835497

  17. Implementation methods of medical image sharing for collaborative health care based on IHE XDS-I profile.

    PubMed

    Zhang, Jianguo; Zhang, Kai; Yang, Yuanyuan; Sun, Jianyong; Ling, Tonghui; Wang, Mingqing; Bak, Peter

    2015-10-01

    IHE XDS-I profile proposes an architecture model for cross-enterprise medical image sharing, but there are only a few clinical implementations reported. Here, we investigate three pilot studies based on the IHE XDS-I profile to see whether we can use this architecture as a foundation for image sharing solutions in a variety of health-care settings. The first pilot study was image sharing for cross-enterprise health care with federated integration, which was implemented in Huadong Hospital and Shanghai Sixth People's Hospital within the Shanghai Shen-Kang Hospital Management Center; the second pilot study was XDS-I-based patient-controlled image sharing solution, which was implemented by the Radiological Society of North America (RSNA) team in the USA; and the third pilot study was collaborative imaging diagnosis with electronic health-care record integration in regional health care, which was implemented in two districts in Shanghai. In order to support these pilot studies, we designed and developed new image access methods, components, and data models such as RAD-69/WADO hybrid image retrieval, RSNA clearinghouse, and extension of metadata definitions in both the submission set and the cross-enterprise document sharing (XDS) registry. We identified several key issues that impact the implementation of XDS-I in practical applications, and conclude that the IHE XDS-I profile is a theoretically good architecture and a useful foundation for medical image sharing solutions across multiple regional health-care providers.

  18. Measurement error is often neglected in medical literature: a systematic review.

    PubMed

    Brakenhoff, Timo B; Mitroiu, Marian; Keogh, Ruth H; Moons, Karel G M; Groenwold, Rolf H H; van Smeden, Maarten

    2018-06-01

    In medical research, covariates (e.g., exposure and confounder variables) are often measured with error. While it is well accepted that this introduces bias and imprecision in exposure-outcome relations, it is unclear to what extent such issues are currently considered in research practice. The objective was to study common practices regarding covariate measurement error via a systematic review of general medicine and epidemiology literature. Original research published in 2016 in 12 high impact journals was full-text searched for phrases relating to measurement error. Reporting of measurement error and methods to investigate or correct for it were quantified and characterized. Two hundred and forty-seven (44%) of the 565 original research publications reported on the presence of measurement error. 83% of these 247 did so with respect to the exposure and/or confounder variables. Only 18 publications (7% of 247) used methods to investigate or correct for measurement error. Consequently, it is difficult for readers to judge the robustness of presented results to the existence of measurement error in the majority of publications in high impact journals. Our systematic review highlights the need for increased awareness about the possible impact of covariate measurement error. Additionally, guidance on the use of measurement error correction methods is necessary. Copyright © 2018 Elsevier Inc. All rights reserved.

  19. Practical scheme to share a secret key through a quantum channel with a 27.6% bit error rate

    NASA Astrophysics Data System (ADS)

    Chau, H. F.

    2002-12-01

    A secret key shared through quantum key distribution between two cooperative players is secure against any eavesdropping attack allowed by the laws of physics. Yet, such a key can be established only when the quantum channel error rate due to eavesdropping or imperfect apparatus is low. Here, a practical quantum key distribution scheme by making use of an adaptive privacy amplification procedure with two-way classical communication is reported. Then, it is proven that the scheme generates a secret key whenever the bit error rate of the quantum channel is less than 0.5-0.1(5)≈27.6%, thereby making it the most error resistant scheme known to date.

  20. EOS situational data shared service mechanism

    NASA Astrophysics Data System (ADS)

    Lv, L.; Xu, Q.; Lan, C. Z.; Shi, Q. S.; Lu, W. J.; Wu, W. Q.

    2016-11-01

    With the rapid development of aerospace and remote sensing technology, various high-resolution Earth Observation Systems (EOS) are widely used in economic, social, military and other fields and playing an increasingly prominent role in the construction of Digital Earth and national strategic planning. The normal operation of the system is the premise of high quality data acquisition. Compared with the ground observation mode, EOS itself and the surrounding environment are more complex, and its operation control mainly depends on all kinds of Space Situational Awareness (SSA) data acquisition and analysis. SSA data has more extensive sources, larger volume, stronger time-effectiveness and more complicated structure than traditional geographical spatial data. For effective data sharing and utilization, combined with the analysis of data types and structures, a SSA data sharing identity language SSDSML is designed based on the extensible mark-up language XML, which realizes a comprehensive description of satellites and their attributes, space environment, ground stations, etc. Then EOS situational data shared service mechanism is established and provides a powerful data support for the normal operation of the system.

  1. Data Sharing & Publishing at Nature Publishing Group

    NASA Astrophysics Data System (ADS)

    VanDecar, J. C.; Hrynaszkiewicz, I.; Hufton, A. L.

    2015-12-01

    In recent years, the research community has come to recognize that upon-request data sharing has important limitations1,2. The Nature-titled journals feel that researchers have a duty to share data without undue qualifications, in a manner that allows others to replicate and build upon their published findings. Historically, the Nature journals have been strong supporters of data deposition in communities with existing data mandates, and have required data sharing upon request in all other cases. To help address some of the limitations of upon-request data sharing, the Nature titles have strengthened their existing data policies and forged a new partnership with Scientific Data, to promote wider data sharing in discoverable, citeable and reusable forms, and to ensure that scientists get appropriate credit for sharing3. Scientific Data is a new peer-reviewed journal for descriptions of research datasets, which works with a wide of range of public data repositories4. Articles at Scientific Data may either expand on research publications at other journals or may be used to publish new datasets. The Nature Publishing Group has also signed the Joint Declaration of Data Citation Principles5, and Scientific Data is our first journal to include formal data citations. We are currently in the process of adding data citation support to our various journals. 1 Wicherts, J. M., Borsboom, D., Kats, J. & Molenaar, D. The poor availability of psychological research data for reanalysis. Am. Psychol. 61, 726-728, doi:10.1037/0003-066x.61.7.726 (2006). 2 Vines, T. H. et al. Mandated data archiving greatly improves access to research data. FASEB J. 27, 1304-1308, doi:10.1096/fj.12-218164 (2013). 3 Data-access practices strengthened. Nature 515, 312, doi:10.1038/515312a (2014). 4 More bang for your byte. Sci. Data 1, 140010, doi:10.1038/sdata.2014.10 (2014). 5 Data Citation Synthesis Group: Joint Declaration of Data Citation Principles. (FORCE11, San Diego, CA, 2014).

  2. Data disclosure and data sharing in scientific research.

    PubMed

    Allison, J R; Cooper, W W

    1992-01-01

    Data sharing is examined for its bearing on (i) quality assurance and (ii) extensions of results in scientific research as well as (iii) part of a tradition of openness in science. It is suggested that sharing can be accomplished in a simple manner that is also sufficiently flexible to fit varying individual situations by asking authors of data dependent articles and grant proposals to footnote (a) whether they are willing to make their data available to others and, if so, (b) how the data may be accessed. Appendices report results from a survey of current policies and practices in professional societies and in Federal government fund granting agencies. Emphasis is on the social and management sciences.

  3. 12 CFR 222.32 - Sharing medical information with affiliates.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... exclusions from the term “consumer report” in section 603(d)(2) of the Act that allow the sharing of... described in paragraph (a) of this section may rely on the exclusions from the term “consumer report” in... payment transactions of the consumer for medical products or services; or (3) An aggregate list of...

  4. 12 CFR 334.32 - Sharing medical information with affiliates.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... exclusions from the term “consumer report” in section 603(d)(2) of the Act that allow the sharing of... described in paragraph (a) of this section may rely on the exclusions from the term “consumer report” in... payment transactions of the consumer for medical products or services; or (3) An aggregate list of...

  5. Data Analysis & Statistical Methods for Command File Errors

    NASA Technical Reports Server (NTRS)

    Meshkat, Leila; Waggoner, Bruce; Bryant, Larry

    2014-01-01

    This paper explains current work on modeling for managing the risk of command file errors. It is focused on analyzing actual data from a JPL spaceflight mission to build models for evaluating and predicting error rates as a function of several key variables. We constructed a rich dataset by considering the number of errors, the number of files radiated, including the number commands and blocks in each file, as well as subjective estimates of workload and operational novelty. We have assessed these data using different curve fitting and distribution fitting techniques, such as multiple regression analysis, and maximum likelihood estimation to see how much of the variability in the error rates can be explained with these. We have also used goodness of fit testing strategies and principal component analysis to further assess our data. Finally, we constructed a model of expected error rates based on the what these statistics bore out as critical drivers to the error rate. This model allows project management to evaluate the error rate against a theoretically expected rate as well as anticipate future error rates.

  6. A SOA-Based Platform to Support Clinical Data Sharing

    PubMed

    Gazzarata, R; Giannini, B; Giacomini, M

    2017-01-01

    The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the “Interoperable” Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the “Interoperable” Tier, the current solution actually covers the “Connected” Tier, due to local hospital policy restrictions. © 2017 R. Gazzarata et al.

  7. A SOA-Based Platform to Support Clinical Data Sharing

    PubMed Central

    Gazzarata, R.; Giannini, B.

    2017-01-01

    The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the “Interoperable” Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the “Interoperable” Tier, the current solution actually covers the “Connected” Tier, due to local hospital policy restrictions. PMID:29065576

  8. The science of medical decision making: neurosurgery, errors, and personal cognitive strategies for improving quality of care.

    PubMed

    Fargen, Kyle M; Friedman, William A

    2014-01-01

    During the last 2 decades, there has been a shift in the U.S. health care system towards improving the quality of health care provided by enhancing patient safety and reducing medical errors. Unfortunately, surgical complications, patient harm events, and malpractice claims remain common in the field of neurosurgery. Many of these events are potentially avoidable. There are an increasing number of publications in the medical literature in which authors address cognitive errors in diagnosis and treatment and strategies for reducing such errors, but these are for the most part absent in the neurosurgical literature. The purpose of this article is to highlight the complexities of medical decision making to a neurosurgical audience, with the hope of providing insight into the biases that lead us towards error and strategies to overcome our innate cognitive deficiencies. To accomplish this goal, we review the current literature on medical errors and just culture, explain the dual process theory of cognition, identify common cognitive errors affecting neurosurgeons in practice, review cognitive debiasing strategies, and finally provide simple methods that can be easily assimilated into neurosurgical practice to improve clinical decision making. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Procurement of Shared Data Instruments for Research Electronic Data Capture (REDCap)

    PubMed Central

    Obeid, Jihad S; McGraw, Catherine A; Minor, Brenda L; Conde, José G; Pawluk, Robert; Lin, Michael; Wang, Janey; Banks, Sean R; Hemphill, Sheree A; Taylor, Rob; Harris, Paul A

    2012-01-01

    REDCap (Research Electronic Data Capture) is a web-based software solution and tool set that allows biomedical researchers to create secure online forms for data capture, management and analysis with minimal effort and training. The Shared Data Instrument Library (SDIL) is a relatively new component of REDCap that allows sharing of commonly used data collection instruments for immediate study use by 3 research teams. Objectives of the SDIL project include: 1) facilitating reuse of data dictionaries and reducing duplication of effort; 2) promoting the use of validated data collection instruments, data standards and best practices; and 3) promoting research collaboration and data sharing. Instruments submitted to the library are reviewed by a library oversight committee, with rotating membership from multiple institutions, which ensures quality, relevance and legality of shared instruments. The design allows researchers to download the instruments in a consumable electronic format in the REDCap environment. At the time of this writing, the SDIL contains over 128 data collection instruments. Over 2500 instances of instruments have been downloaded by researchers at multiple institutions. In this paper we describe the library platform, provide detail about experience gained during the first 25 months of sharing public domain instruments and provide evidence of impact for the SDIL across the REDCap consortium research community. We postulate that the shared library of instruments reduces the burden of adhering to sound data collection principles while promoting best practices. PMID:23149159

  10. Frequency and types of the medication errors in an academic emergency department in Iran: The emergent need for clinical pharmacy services in emergency departments.

    PubMed

    Zeraatchi, Alireza; Talebian, Mohammad-Taghi; Nejati, Amir; Dashti-Khavidaki, Simin

    2013-07-01

    Emergency departments (EDs) are characterized by simultaneous care of multiple patients with various medical conditions. Due to a large number of patients with complex diseases, speed and complexity of medication use, working in under-staffing and crowded environment, medication errors are commonly perpetrated by emergency care providers. This study was designed to evaluate the incidence of medication errors among patients attending to an ED in a teaching hospital in Iran. In this cross-sectional study, a total of 500 patients attending to ED were randomly assessed for incidence and types of medication errors. Some factors related to medication errors such as working shift, weekdays and schedule of the educational program of trainee were also evaluated. Nearly, 22% of patients experienced at least one medication error. The rate of medication errors were 0.41 errors per patient and 0.16 errors per ordered medication. The frequency of medication errors was higher in men, middle age patients, first weekdays, night-time work schedules and the first semester of educational year of new junior emergency medicine residents. More than 60% of errors were prescription errors by physicians and the remaining were transcription or administration errors by nurses. More than 35% of the prescribing errors happened during the selection of drug dose and frequency. The most common medication errors by nurses during the administration were omission error (16.2%) followed by unauthorized drug (6.4%). Most of the medication errors happened for anticoagulants and thrombolytics (41.2%) followed by antimicrobial agents (37.7%) and insulin (7.4%). In this study, at least one-fifth of the patients attending to ED experienced medication errors resulting from multiple factors. More common prescription errors happened during ordering drug dose and frequency. More common administration errors included dug omission or unauthorized drug.

  11. What are incident reports telling us? A comparative study at two Australian hospitals of medication errors identified at audit, detected by staff and reported to an incident system

    PubMed Central

    Westbrook, Johanna I.; Li, Ling; Lehnbom, Elin C.; Baysari, Melissa T.; Braithwaite, Jeffrey; Burke, Rosemary; Conn, Chris; Day, Richard O.

    2015-01-01

    Objectives To (i) compare medication errors identified at audit and observation with medication incident reports; (ii) identify differences between two hospitals in incident report frequency and medication error rates; (iii) identify prescribing error detection rates by staff. Design Audit of 3291patient records at two hospitals to identify prescribing errors and evidence of their detection by staff. Medication administration errors were identified from a direct observational study of 180 nurses administering 7451 medications. Severity of errors was classified. Those likely to lead to patient harm were categorized as ‘clinically important’. Setting Two major academic teaching hospitals in Sydney, Australia. Main Outcome Measures Rates of medication errors identified from audit and from direct observation were compared with reported medication incident reports. Results A total of 12 567 prescribing errors were identified at audit. Of these 1.2/1000 errors (95% CI: 0.6–1.8) had incident reports. Clinically important prescribing errors (n = 539) were detected by staff at a rate of 218.9/1000 (95% CI: 184.0–253.8), but only 13.0/1000 (95% CI: 3.4–22.5) were reported. 78.1% (n = 421) of clinically important prescribing errors were not detected. A total of 2043 drug administrations (27.4%; 95% CI: 26.4–28.4%) contained ≥1 errors; none had an incident report. Hospital A had a higher frequency of incident reports than Hospital B, but a lower rate of errors at audit. Conclusions Prescribing errors with the potential to cause harm frequently go undetected. Reported incidents do not reflect the profile of medication errors which occur in hospitals or the underlying rates. This demonstrates the inaccuracy of using incident frequency to compare patient risk or quality performance within or across hospitals. New approaches including data mining of electronic clinical information systems are required to support more effective medication error detection and

  12. What are incident reports telling us? A comparative study at two Australian hospitals of medication errors identified at audit, detected by staff and reported to an incident system.

    PubMed

    Westbrook, Johanna I; Li, Ling; Lehnbom, Elin C; Baysari, Melissa T; Braithwaite, Jeffrey; Burke, Rosemary; Conn, Chris; Day, Richard O

    2015-02-01

    To (i) compare medication errors identified at audit and observation with medication incident reports; (ii) identify differences between two hospitals in incident report frequency and medication error rates; (iii) identify prescribing error detection rates by staff. Audit of 3291 patient records at two hospitals to identify prescribing errors and evidence of their detection by staff. Medication administration errors were identified from a direct observational study of 180 nurses administering 7451 medications. Severity of errors was classified. Those likely to lead to patient harm were categorized as 'clinically important'. Two major academic teaching hospitals in Sydney, Australia. Rates of medication errors identified from audit and from direct observation were compared with reported medication incident reports. A total of 12 567 prescribing errors were identified at audit. Of these 1.2/1000 errors (95% CI: 0.6-1.8) had incident reports. Clinically important prescribing errors (n = 539) were detected by staff at a rate of 218.9/1000 (95% CI: 184.0-253.8), but only 13.0/1000 (95% CI: 3.4-22.5) were reported. 78.1% (n = 421) of clinically important prescribing errors were not detected. A total of 2043 drug administrations (27.4%; 95% CI: 26.4-28.4%) contained ≥ 1 errors; none had an incident report. Hospital A had a higher frequency of incident reports than Hospital B, but a lower rate of errors at audit. Prescribing errors with the potential to cause harm frequently go undetected. Reported incidents do not reflect the profile of medication errors which occur in hospitals or the underlying rates. This demonstrates the inaccuracy of using incident frequency to compare patient risk or quality performance within or across hospitals. New approaches including data mining of electronic clinical information systems are required to support more effective medication error detection and mitigation. © The Author 2015. Published by Oxford University Press in association

  13. Intervention strategies for the management of human error

    NASA Technical Reports Server (NTRS)

    Wiener, Earl L.

    1993-01-01

    This report examines the management of human error in the cockpit. The principles probably apply as well to other applications in the aviation realm (e.g. air traffic control, dispatch, weather, etc.) as well as other high-risk systems outside of aviation (e.g. shipping, high-technology medical procedures, military operations, nuclear power production). Management of human error is distinguished from error prevention. It is a more encompassing term, which includes not only the prevention of error, but also a means of disallowing an error, once made, from adversely affecting system output. Such techniques include: traditional human factors engineering, improvement of feedback and feedforward of information from system to crew, 'error-evident' displays which make erroneous input more obvious to the crew, trapping of errors within a system, goal-sharing between humans and machines (also called 'intent-driven' systems), paperwork management, and behaviorally based approaches, including procedures, standardization, checklist design, training, cockpit resource management, etc. Fifteen guidelines for the design and implementation of intervention strategies are included.

  14. Transforming Education Research Through Open Video Data Sharing.

    PubMed

    Gilmore, Rick O; Adolph, Karen E; Millman, David S; Gordon, Andrew

    2016-01-01

    Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many researchers who study teaching and learning in classroom, laboratory, museum, and home contexts use video as a primary source of raw research data. Unlike other measures, video captures the complexity, richness, and diversity of behavior. Moreover, because video is self-documenting, it presents significant potential for reuse. However, the potential for reuse goes largely unrealized because videos are rarely shared. Research videos contain information about participants' identities making the materials challenging to share. The large size of video files, diversity of formats, and incompatible software tools pose technical challenges. The Databrary (databrary.org) digital library enables researchers who study learning and development to store, share, stream, and annotate videos. In this article, we describe how Databrary has overcome barriers to sharing research videos and associated data and metadata. Databrary has developed solutions for respecting participants' privacy; for storing, streaming, and sharing videos; and for managing videos and associated metadata. The Databrary experience suggests ways that videos and other identifiable data collected in the context of educational research might be shared. Open data sharing enabled by Databrary can serve as a catalyst for a truly multidisciplinary science of learning.

  15. Transforming Education Research Through Open Video Data Sharing

    PubMed Central

    Gilmore, Rick O.; Adolph, Karen E.; Millman, David S.; Gordon, Andrew

    2016-01-01

    Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many researchers who study teaching and learning in classroom, laboratory, museum, and home contexts use video as a primary source of raw research data. Unlike other measures, video captures the complexity, richness, and diversity of behavior. Moreover, because video is self-documenting, it presents significant potential for reuse. However, the potential for reuse goes largely unrealized because videos are rarely shared. Research videos contain information about participants’ identities making the materials challenging to share. The large size of video files, diversity of formats, and incompatible software tools pose technical challenges. The Databrary (databrary.org) digital library enables researchers who study learning and development to store, share, stream, and annotate videos. In this article, we describe how Databrary has overcome barriers to sharing research videos and associated data and metadata. Databrary has developed solutions for respecting participants’ privacy; for storing, streaming, and sharing videos; and for managing videos and associated metadata. The Databrary experience suggests ways that videos and other identifiable data collected in the context of educational research might be shared. Open data sharing enabled by Databrary can serve as a catalyst for a truly multidisciplinary science of learning. PMID:28042361

  16. Use of a computerized medication shared decision making tool in community mental health settings: impact on psychotropic medication adherence.

    PubMed

    Stein, Bradley D; Kogan, Jane N; Mihalyo, Mark J; Schuster, James; Deegan, Patricia E; Sorbero, Mark J; Drake, Robert E

    2013-04-01

    Healthcare reform emphasizes patient-centered care and shared decision-making. This study examined the impact on psychotropic adherence of a decision support center and computerized tool designed to empower and activate consumers prior to an outpatient medication management visit. Administrative data were used to identify 1,122 Medicaid-enrolled adults receiving psychotropic medication from community mental health centers over a two-year period from community mental health centers. Multivariate linear regression models were used to examine if tool users had higher rates of 180-day medication adherence than non-users. Older clients, Caucasian clients, those without recent hospitalizations, and those who were Medicaid-eligible due to disability had higher rates of 180-day medication adherence. After controlling for sociodemographics, clinical characteristics, baseline adherence, and secular changes over time, using the computerized tool did not affect adherence to psychotropic medications. The computerized decision tool did not affect medication adherence among clients in outpatient mental health clinics. Additional research should clarify the impact of decision-making tools on other important outcomes such as engagement, patient-prescriber communication, quality of care, self-management, and long-term clinical and functional outcomes.

  17. Navigating the Decision Space: Shared Medical Decision Making as Distributed Cognition.

    PubMed

    Lippa, Katherine D; Feufel, Markus A; Robinson, F Eric; Shalin, Valerie L

    2017-06-01

    Despite increasing prominence, little is known about the cognitive processes underlying shared decision making. To investigate these processes, we conceptualize shared decision making as a form of distributed cognition. We introduce a Decision Space Model to identify physical and social influences on decision making. Using field observations and interviews, we demonstrate that patients and physicians in both acute and chronic care consider these influences when identifying the need for a decision, searching for decision parameters, making actionable decisions Based on the distribution of access to information and actions, we then identify four related patterns: physician dominated; physician-defined, patient-made; patient-defined, physician-made; and patient-dominated decisions. Results suggests that (a) decision making is necessarily distributed between physicians and patients, (b) differential access to information and action over time requires participants to transform a distributed task into a shared decision, and (c) adverse outcomes may result from failures to integrate physician and patient reasoning. Our analysis unifies disparate findings in the medical decision-making literature and has implications for improving care and medical training.

  18. Causes of medication administration errors in hospitals: a systematic review of quantitative and qualitative evidence.

    PubMed

    Keers, Richard N; Williams, Steven D; Cooke, Jonathan; Ashcroft, Darren M

    2013-11-01

    Underlying systems factors have been seen to be crucial contributors to the occurrence of medication errors. By understanding the causes of these errors, the most appropriate interventions can be designed and implemented to minimise their occurrence. This study aimed to systematically review and appraise empirical evidence relating to the causes of medication administration errors (MAEs) in hospital settings. Nine electronic databases (MEDLINE, EMBASE, International Pharmaceutical Abstracts, ASSIA, PsycINFO, British Nursing Index, CINAHL, Health Management Information Consortium and Social Science Citations Index) were searched between 1985 and May 2013. Inclusion and exclusion criteria were applied to identify eligible publications through title analysis followed by abstract and then full text examination. English language publications reporting empirical data on causes of MAEs were included. Reference lists of included articles and relevant review papers were hand searched for additional studies. Studies were excluded if they did not report data on specific MAEs, used accounts from individuals not directly involved in the MAE concerned or were presented as conference abstracts with insufficient detail. A total of 54 unique studies were included. Causes of MAEs were categorised according to Reason's model of accident causation. Studies were assessed to determine relevance to the research question and how likely the results were to reflect the potential underlying causes of MAEs based on the method(s) used. Slips and lapses were the most commonly reported unsafe acts, followed by knowledge-based mistakes and deliberate violations. Error-provoking conditions influencing administration errors included inadequate written communication (prescriptions, documentation, transcription), problems with medicines supply and storage (pharmacy dispensing errors and ward stock management), high perceived workload, problems with ward-based equipment (access, functionality

  19. A Physician-based Voluntary Reporting System for Adverse Events and Medical Errors

    PubMed Central

    Weingart, Saul N; Callanan, Lawrence D; Ship, Amy N; Aronson, Mark D

    2001-01-01

    OBJECTIVE To create a voluntary reporting method for identifying adverse events (AEs) and potential adverse events (PAEs) among medical inpatients. DESIGN Medical house officers asked their peers about obstacles to care, injuries or extended hospitalizations, and problems with medications that affected their patients. Two independent reviewers coded event narratives for adverse outcomes, responsible parties, preventability, and process problems. We corroborated house officers' reports with hospital incident reports and conducted a retrospective chart review. SETTING The cardiac step-down, oncology, and medical intensive care units of an urban teaching hospital. INTERVENTION Structured confidential interviews by postgraduate year-2 and -3 medical residents of interns during work rounds. MEASUREMENTS AND MAIN RESULTS Respondents reported 88 events over 3 months. AEs occurred among 5 patients (0.5% of admissions) and PAEs among 48 patients (4.9% of admissions). Delayed diagnoses and treatments figured prominently among PAEs (54%). Clinicians were responsible for the greatest number of incidents (55%), followed by workers in the laboratory (11%), radiology (15%), and pharmacy (3%). Respondents identified a variety of problematic processes of care, including problems with diagnosis (16%), therapy (26%), and failure to provide clinical and support services (29%). We corroborated 84% of reported events in the medical record. Participants found voluntary peer reporting of medical errors unobtrusive and agreed that it could be implemented on a regular basis. CONCLUSIONS A physician-based voluntary reporting system for medical errors is feasible and acceptable to front-line clinicians. PMID:11903759

  20. Data Rights and Responsibilities: A Human Rights Perspective on Data Sharing.

    PubMed

    Harris, Theresa L; Wyndham, Jessica M

    2015-07-01

    A human-rights-based analysis can be a useful tool for the scientific community and policy makers as they develop codes of conduct, harmonized standards, and national policies for data sharing. The human rights framework provides a shared set of values and norms across borders, defines rights and responsibilities of various actors involved in data sharing, addresses the potential harms as well as the benefits of data sharing, and offers a framework for balancing competing values. The right to enjoy the benefits of scientific progress and its applications offers a particularly helpful lens through which to view data as both a tool of scientific inquiry to which access is vital and as a product of science from which everyone should benefit. © The Author(s) 2015.