Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing.

PubMed

McHugh, Matthew D; Berez, Julie; Small, Dylan S

2013-10-01

The Affordable Care Act's Hospital Readmissions Reduction Program (HRRP) penalizes hospitals based on excess readmission rates among Medicare beneficiaries. The aim of the program is to reduce readmissions while aligning hospitals' financial incentives with payers' and patients' quality goals. Many evidence-based interventions that reduce readmissions, such as discharge preparation, care coordination, and patient education, are grounded in the fundamentals of basic nursing care. Yet inadequate staffing can hinder nurses' efforts to carry out these processes of care. We estimated the effect that nurse staffing had on the likelihood that a hospital was penalized under the HRRP. Hospitals with higher nurse staffing had 25 percent lower odds of being penalized compared to otherwise similar hospitals with lower staffing. Investment in nursing is a potential system-level intervention to reduce readmissions that policy makers and hospital administrators should consider in the new regulatory environment as they examine the quality of care delivered to US hospital patients.

Trends in readmission rates for safety net hospitals and non-safety net hospitals in the era of the US Hospital Readmission Reduction Program: a retrospective time series analysis using Medicare administrative claims data from 2008 to 2015.

PubMed

Salerno, Amy M; Horwitz, Leora I; Kwon, Ji Young; Herrin, Jeph; Grady, Jacqueline N; Lin, Zhenqiu; Ross, Joseph S; Bernheim, Susannah M

2017-07-13

To compare trends in readmission rates among safety net and non-safety net hospitals under the US Hospital Readmission Reduction Program (HRRP). A retrospective time series analysis using Medicare administrative claims data from January 2008 to June 2015. We examined 3254 US hospitals eligible for penalties under the HRRP, categorised as safety net or non-safety net hospitals based on the hospital's proportion of patients with low socioeconomic status. Admissions for Medicare fee-for-service patients, age ≥65 years, discharged alive, who had a valid five-digit zip code and did not have a principal discharge diagnosis of cancer or psychiatric illness were included, for a total of 52 516 213 index admissions. Mean hospital-level, all-condition, 30-day risk-adjusted standardised unplanned readmission rate, measured quarterly, along with quarterly rate of change, and an interrupted time series examining: April-June 2010, after HRRP was passed, and October-December 2012, after HRRP penalties were implemented. 58.0% (SD 15.3) of safety net hospitals and 17.1% (SD 10.4) of non-safety net hospitals' patients were in the lowest quartile of socioeconomic status. The mean safety net hospital standardised readmission rate declined from 17.0% (SD 3.7) to 13.6% (SD 3.6), whereas the mean non-safety net hospital declined from 15.4% (SD 3.0) to 12.7% (SD 2.5). The absolute difference in rates between safety net and non-safety net hospitals declined from 1.6% (95% CI 1.3 to 1.9) to 0.9% (0.7 to 1.2). The quarterly decline in standardised readmission rates was 0.03 percentage points (95% CI 0.03 to 0.02, p<0.001) greater among safety net hospitals over the entire study period, and no differential change among safety net and non-safety net hospitals was found after either HRRP was passed or penalties enacted. Since HRRP was passed and penalties implemented, readmission rates for safety net hospitals have decreased more rapidly than those for non-safety net hospitals. © Article

Hospitals With Higher Nurse Staffing Had Lower Odds Of Readmissions Penalties Than Hospitals With Lower Staffing

PubMed Central

McHugh, Matthew D.; Berez, Julie; Small, Dylan S.

2015-01-01

The Affordable Care Act’s Hospital Readmissions Reduction Program (HRRP) penalizes hospitals based on excess readmission rates among Medicare beneficiaries. The aim of the program is to reduce readmissions while aligning hospitals’ financial incentives with payers’ and patients’ quality goals. Many evidence-based interventions that reduce readmissions, such as discharge preparation, care coordination, and patient education, are grounded in the fundamentals of basic nursing care. Yet inadequate staffing can hinder nurses’ efforts to carry out these processes of care. We estimated the effect that nurse staffing had on the likelihood that a hospital was penalized under the HRRP. Hospitals with higher nurse staffing had 25 percent lower odds of being penalized compared to otherwise similar hospitals with lower staffing. Investment in nursing is a potential system-level intervention to reduce readmissions that policy makers and hospital administrators should consider in the new regulatory environment as they examine the quality of care delivered to US hospital patients. PMID:24101063

Patients' perceptions of interactions with hospital staff are associated with hospital readmissions: a national survey of 4535 hospitals.

PubMed

Yang, Lianping; Liu, Chaojie; Huang, Cunrui; Mukamel, Dana B

2018-01-29

suggest that elements of care related to staff responsiveness during patients' stay may influence rehospitalization rates. Changes in staff responsiveness may offer an additional tool for hospitals to employ ongoing efforts to achieve reductions in readmissions, an important objective both financially and for patient health outcomes.

Will Medicare Readmission Penalties Motivate Hospitals to Reduce Arthroplasty Readmissions?

PubMed

Clement, R Carter; Gray, Caitlin M; Kheir, Michael M; Derman, Peter B; Speck, Rebecca M; Levin, L Scott; Fleisher, Lee A

2017-03-01

The Centers for Medicare & Medicaid Services (CMS) recently imposed penalties against hospitals with above-average 30-day readmission rates following total joint arthroplasty (TJA). Hospitals must decide whether investments in readmission prevention are worthwhile. This study examines the financial incentives associated with unplanned readmissions before and after invocation of these penalties. Financial data were reviewed for 2028 consecutive primary TJAs performed on Medicare beneficiaries over a 2-year period at an urban academic health system. Readmission penalties were estimated in accordance with CMS policies. Unplanned readmissions generated a $4416 median contribution margin. The initial hospitalizations (when the TJA was performed) were financially unfavorable for patients subsequently readmitted relative to those not readmitted due to increased costs of care (P = .002), but these costs were more than outweighed by the increased reimbursement earned during the readmission (P < .001), ultimately making readmitted patients financially preferable (P < .001). Going forward, penalties will be levied for risk-adjusted readmission rates above the national rate of 4.8%. For the institution under review, the penalty per readmission outweighs the financial gains earned through readmission by $12,184, resulting in a net loss from readmissions if the rate exceeds 6.5%. It will be financially optimal to maintain a readmission rate (after risk adjustment) equal to the national average but exceeding that rate will be $7768 more expensive per readmission than undershooting that target. If our results are generalizable, unplanned Medicare readmissions have traditionally been financially beneficial, but CMS penalties outweigh this benefit. Thus, penalties should incentivize institutions to maintain below-average arthroplasty readmissions rates. Copyright © 2016 Elsevier Inc. All rights reserved.

Examination of unplanned 30-day readmissions to a comprehensive cancer hospital.

PubMed

Saunders, Neil David; Nichols, Shawnn D; Antiporda, Michael Alfredo; Johnson, Kristen; Walker, Kerri; Nilsson, Rhonda; Graham, Lisa; Old, Matt; Klisovic, Rebecca B; Penza, Sam; Schmidt, Carl R

2015-03-01

The Centers for Medicare and Medicaid Services (CMS), under the Hospitals Readmissions Reductions Program, may withhold regular reimbursements for excessive 30-day readmissions for select diagnoses. Such penalties imply that some readmissions reflect poor clinical decision making or care during the initial hospitalization. We examined factors related to potentially preventable readmissions in CMS patients at a tertiary cancer hospital. The medical records of all CMS patients with unplanned readmissions within 30 days of index admission were reviewed over 6 months (October 15, 2011-April 15, 2012). Each readmission was classified as not preventable or potentially preventable. Factors associated with potentially preventable readmissions were sought. Of 2,531 inpatient admissions in CMS patients over 6 months, 185 patients experienced at least one readmission for 282 total readmissions (11%). Median time to readmission was 9 days (range, 0 to 30 days). The most common causes for first readmission were new diagnoses not present at first admission (n = 43, 23%), new or worsening symptoms due to cancer progression (n = 40, 21%) and complications of procedures (n = 25, 13%). There were 38 (21%) initial readmissions classified as potentially preventable. Use of total parenteral nutrition at the time of discharge was associated with potentially preventable readmission (P = .028). Most unplanned readmissions to a tertiary cancer hospital are related to progression of disease, new diagnoses, and procedure complications. Minimizing readmissions in complex cancer patients is challenging. Larger multi-institutional datasets are needed to determine a reasonable standard for expected readmission rates. Copyright © 2015 by American Society of Clinical Oncology.

Limitations of using same-hospital readmission metrics.

PubMed

Davies, Sheryl M; Saynina, Olga; McDonald, Kathryn M; Baker, Laurence C

2013-12-01

To quantify the limitations associated with restricting readmission metrics to same-hospital only readmission. Using 2000-2009 California Office of Statewide Health Planning and Development Patient Discharge Data Nonpublic file, we identified the proportion of 7-, 15- and 30-day readmissions occurring to the same hospital as the initial admission using All-cause Readmission (ACR) and 3M Corporation Potentially Preventable Readmissions (PPR) Metric. We examined the correlation between performance using same and different hospital readmission, the percent of hospitals remaining in the extreme deciles when utilizing different metrics, agreement in identifying outliers and differences in longitudinal performance. Using logistic regression, we examined the factors associated with admission to the same hospital. 68% of 30-day ACR and 70% of 30-day PPR occurred to the same hospital. Abdominopelvic procedures had higher proportions of same-hospital readmissions (87.4-88.9%), cardiac surgery had lower (72.5-74.9%) and medical DRGs were lower than surgical DRGs (67.1 vs. 71.1%). Correlation and agreement in identifying high- and low-performing hospitals was weak to moderate, except for 7-day metrics where agreement was stronger (r = 0.23-0.80, Kappa = 0.38-0.76). Agreement for within-hospital significant (P < 0.05) longitudinal change was weak (Kappa = 0.05-0.11). Beyond all patient refined-diagnostic related groups, payer was the most predictive factor with Medicare and MediCal patients having a higher likelihood of same-hospital readmission (OR 1.62, 1.73). Same-hospital readmission metrics are limited for all tested applications. Caution should be used when conducting research, quality improvement or comparative applications that do not account for readmissions to other hospitals.

Hospital readmission after a pancreaticoduodenectomy: an emerging quality metric?

PubMed Central

Kastenberg, Zachary J; Morton, John M; Visser, Brendan C; Norton, Jeffrey A; Poultsides, George A

2013-01-01

Background Hospital readmission has attracted attention from policymakers as a measure of quality and a target for cost reduction. The aim of the study was to evaluate the frequency and patterns of rehospitalization after a pancreaticoduodenectomy (PD). Methods The records of all patients undergoing a PD at an academic medical centre for malignant or benign diagnoses between January 2006 and September 2011 were retrospectively reviewed. The incidence, aetiology and predictors of subsequent readmission(s) were analysed. Results Of 257 consecutive patients who underwent a PD, 50 (19.7%) were readmitted within 30 days from discharge. Both the presence of any post-operative complication (P = 0.049) and discharge to a nursing/rehabilitation facility or to home with health care services (P = 0.018) were associated with readmission. The most common reasons for readmission were diet intolerance (36.0%), pancreatic fistula/abscess (26.0%) and superficial wound infection (8.0%). Nine (18.0%) readmissions had lengths of stay of 2 days or less and in four of those (8.0%) diagnostic evaluation was eventually negative. Conclusion Approximately one-fifth of patients require hospital readmission within 30 days of discharge after a PD. A small fraction of these readmissions are short (2 days or less) and may be preventable or manageable in the outpatient setting. PMID:23297725

Reducing Hospital Readmissions Through Preferred Networks Of Skilled Nursing Facilities

PubMed Central

Foster, Andrew; Mor, Vincent; Shield, Renée R.; Trivedi, Amal N.; Wetle, Terrie; Zinn, Jacqueline S.; Tyler, Denise A.

2017-01-01

Establishing preferred provider networks of skilled nursing facilities (SNFs) is one approach hospital administrators are using to reduce excess thirty-day readmissions and avoid Medicare penalties or to reduce beneficiaries’ costs as part of value-based payment models. However, hospitals are also required to provide patients at discharge with a list of Medicare-eligible providers and cannot explicitly restrict patient choice. This requirement complicates the development of a SNF network. Furthermore, there is little evidence about the effectiveness of network development in reducing readmission rates. We used a concurrent mixed-methods approach, combining Medicare claims data for the period 2009–13 with qualitative data gathered from interviews during site visits to hospitals in eight US markets in March–October 2015, to examine changes in rehospitalization rates and differences in practices between hospitals that did and did not develop formal SNF networks. Four hospitals had developed formal SNF networks as part of their care management efforts. These hospitals saw a relative reduction from 2009 to 2013 in readmission rates for patients discharged to SNFs that was 4.5 percentage points greater than the reduction for hospitals without formal networks. Interviews revealed that those with networks expanded existing relationships with SNFs, effectively managed patient data, and exercised a looser interpretation of patient choice. PMID:28874486

Decreasing Hospital Readmission in Ileostomy Patients: Results of Novel Pilot Program.

PubMed

Shaffer, Virginia O; Owi, Tari; Kumarusamy, Mathu A; Sullivan, Patrick S; Srinivasan, Jahnavi K; Maithel, Shishir K; Staley, Charles A; Sweeney, John F; Esper, Greg

2017-04-01

Nearly 30% of patients with newly formed ileostomies require hospital readmission from severe dehydration or associated complications. This contributes to significant morbidity and rising healthcare costs associated with this procedure. Our aim was to design and pilot a novel program to decrease readmissions in this patient population. An agreement was established with Visiting Nurse Health System (VNHS) in March 2015 that incorporated regular home visits with clinical triggers to institute surgeon-supervised corrective measures aimed at preventing patient decompensation associated with hospital readmissions. Thirty-day readmission data for patients managed with and without VNHS support for 10.5 months before and after implementation of this new program were collected. Of 833 patients with small bowel procedures, 162 were ileostomies with 47 in the VNHS and 115 in the non-VNHS group. Before program implementation, VNHS (n = 24) and non-VNHS patients (n = 54) had similar readmission rates (20.8% vs 16.7%). After implementation, VNHS patients (n = 23) had a 58% reduction in hospital readmission (8.7%) and non-VNHS patient hospital readmissions (n = 61) increased slightly (24.5%). Total cost of readmissions per patient in the cohort decreased by >80% in the pilot VNHS group. Implementation of a novel program reduced the 30-day readmission rate by 58% and cost of readmissions per patient by >80% in a high risk for readmission patient population with newly created ileostomies. Future efforts will expand this program to a greater number of patients, both institutionally and systemically, to reduce the readmission-rate and healthcare costs for this high-risk patient population. Copyright © 2017 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Reducing Hospital Readmissions Through Preferred Networks Of Skilled Nursing Facilities.

PubMed

McHugh, John P; Foster, Andrew; Mor, Vincent; Shield, Renée R; Trivedi, Amal N; Wetle, Terrie; Zinn, Jacqueline S; Tyler, Denise A

2017-09-01

Establishing preferred provider networks of skilled nursing facilities (SNFs) is one approach hospital administrators are using to reduce excess thirty-day readmissions and avoid Medicare penalties or to reduce beneficiaries' costs as part of value-based payment models. However, hospitals are also required to provide patients at discharge with a list of Medicare-eligible providers and cannot explicitly restrict patient choice. This requirement complicates the development of a SNF network. Furthermore, there is little evidence about the effectiveness of network development in reducing readmission rates. We used a concurrent mixed-methods approach, combining Medicare claims data for the period 2009-13 with qualitative data gathered from interviews during site visits to hospitals in eight US markets in March-October 2015, to examine changes in rehospitalization rates and differences in practices between hospitals that did and did not develop formal SNF networks. Four hospitals had developed formal SNF networks as part of their care management efforts. These hospitals saw a relative reduction from 2009 to 2013 in readmission rates for patients discharged to SNFs that was 4.5 percentage points greater than the reduction for hospitals without formal networks. Interviews revealed that those with networks expanded existing relationships with SNFs, effectively managed patient data, and exercised a looser interpretation of patient choice. Project HOPE—The People-to-People Health Foundation, Inc.

Hospital readmission and parent perceptions of their child's hospital discharge

PubMed Central

Berry, Jay G.; Ziniel, Sonja I.; Freeman, Linda; Kaplan, William; Antonelli, Richard; Gay, James; Coleman, Eric A.; Porter, Stephanie; Goldmann, Don

2013-01-01

Objective To describe parent perceptions of their child's hospital discharge and assess the relationship between these perceptions and hospital readmission. Design A prospective study of parents surveyed with questions adapted from the care transitions measure, an adult survey that assesses components of discharge care. Participant answers, scored on a 5-point Likert scale, were compared between children who did and did not experience a readmission using a Fisher's exact test and logistic regression that accounted for patient characteristics associated with increased readmission risk, including complex chronic condition and assistance with medical technology. Setting A tertiary-care children's hospital. Participants: A total of 348 parents surveyed following their child's hospital discharge between March and October 2010. Intervention None. Main Outcome Measure Unplanned readmission within 30 days of discharge. Results There were 28 children (8.1%) who experienced a readmission. Children had a lower readmission rate (4.4 vs. 11.3%, P = 0.004) and lower adjusted readmission likelihood [odds ratio 0.2 (95% confidence interval 0.1, 0.6)] when their parents strongly agreed (n = 206) with the statement, ‘I felt that my child was healthy enough to leave the hospital’ from the index admission. Parent perceptions relating to care management responsibilities, medications, written discharge plan, warning signs and symptoms to watch for and primary care follow-up were not associated with readmission risk in multivariate analysis. Conclusions Parent perception of their child's health at discharge was associated with the risk of a subsequent, unplanned readmission. Addressing concerns with this perception prior to hospital discharge may help mitigate readmission risk in children. PMID:23962990

Safety-Net Hospitals Face More Barriers Yet Use Fewer Strategies to Reduce Readmissions

PubMed Central

Figueroa, Jose F.; Joynt, Karen E.; Zhou, Xiner; Orav, E. John; Jha, Ashish K.

2016-01-01

Objective U.S. hospitals that care for vulnerable populations, “safety-net hospitals” (SNHs), are more likely to incur penalties under the Hospital Readmissions Reduction Program (HRRP), which penalizes hospitals with higher-than-expected readmissions. Understanding whether SNHs face unique barriers to reducing readmissions or whether they underuse readmission-prevention strategies is important. Design We surveyed leadership at 1,600 U.S. acute care hospitals, of whom 980 participated, between June 2013–January 2014. Responses on 28 questions on readmission-related barriers and strategies were compared between SNHs and non-SNHs, adjusting for non-response and sampling strategy. We further compared responses between high-performing SNHs and low-performing SNHs. Results We achieved a 62% response rate. SNHs were more likely to report patient-related barriers, including lack of transportation, homelessness, and language barriers compared to non-SNHs (p-values<0.001). Despite reporting more barriers, SNHs were less likely to use e-tools to share discharge summaries (70.1% vs. 73.7%, p<0.04) or verbally communicate (31.5% vs. 39.8%, p<0.001) with outpatient providers, track readmissions by race/ethnicity (23.9% vs. 28.6%, p<0.001), or enroll patients in post-discharge programs (13.3% vs. 17.2%, p<0.001). SNHs were also less likely to use discharge coordinators, pharmacists, and post-discharge programs. When we examined the use of strategies within SNHs, we found trends to suggest that high-performing SNHs were more likely to use several readmission strategies. Conclusions Despite reporting more barriers to reducing readmissions, SNHs were less likely to use readmission-reduction strategies. This combination of higher barriers and lower use of strategies may explain why SNHs have higher rates of readmissions and penalties under the HRRP. PMID:28060053

Hospital performance measures and 30-day readmission rates.

PubMed

Stefan, Mihaela S; Pekow, Penelope S; Nsa, Wato; Priya, Aruna; Miller, Lauren E; Bratzler, Dale W; Rothberg, Michael B; Goldberg, Robert J; Baus, Kristie; Lindenauer, Peter K

2013-03-01

Lowering hospital readmission rates has become a primary target for the Centers for Medicare & Medicaid Services, but studies of the relationship between adherence to the recommended hospital care processes and readmission rates have provided inconsistent and inconclusive results. To examine the association between hospital performance on Medicare's Hospital Compare process quality measures and 30-day readmission rates for patients with acute myocardial infarction (AMI), heart failure and pneumonia, and for those undergoing major surgery. We assessed hospital performance on process measures using the 2007 Hospital Inpatient Quality Reporting Program. The process measures for each condition were aggregated in two separate measures: Overall Measure (OM) and Appropriate Care Measure (ACM) scores. Readmission rates were calculated using Medicare claims. Risk-standardized 30-day all-cause readmission rate was calculated as the ratio of predicted to expected rate standardized by the overall mean readmission rate. We calculated predicted readmission rate using hierarchical generalized linear models and adjusting for patient-level factors. Among patients aged ≥ 66 years, the median OM score ranged from 79.4 % for abdominal surgery to 95.7 % for AMI, and the median ACM scores ranged from 45.8 % for abdominal surgery to 87.9 % for AMI. We observed a statistically significant, but weak, correlation between performance scores and readmission rates for pneumonia (correlation coefficient R = 0.07), AMI (R = 0.10), and orthopedic surgery (R = 0.06). The difference in the mean readmission rate between hospitals in the 1st and 4th quartiles of process measure performance was statistically significant only for AMI (0.25 percentage points) and pneumonia (0.31 percentage points). Performance on process measures explained less than 1 % of hospital-level variation in readmission rates. Hospitals with greater adherence to recommended care processes did not achieve

Diagnoses of Early and Late Readmissions after Hospitalization for Pneumonia. A Systematic Review

PubMed Central

Sjoding, Michael W.; Iwashyna, Theodore J.

2014-01-01

Rationale: Pneumonia is a frequent cause of hospitalization, yet drivers of post-pneumonia morbidity remain poorly characterized. Causes of hospital readmissions may elucidate important sources of morbidity and are of particular interest given the U.S. Hospital Readmission Reductions Program. Objectives: To review the primary diagnoses of early (≤30 d) and late (≥31 d) readmissions after pneumonia hospitalization. Methods: Systematic review of MEDLINE, Embase, and CINAHL databases. We identified original research studies of adults aged 18 years or older, hospitalized for pneumonia, and for whom cause-specific readmission rates were reported. Two authors abstracted study results and assessed study quality. Measurements and Main Results: Of the 1,243 citations identified, 12 met eligibility criteria. Included studies were conducted in the United States, Spain, Canada, Croatia, and Sweden. All-cause 30-day readmission rates ranged from 16.8 to 20.1% across administrative studies; the weighted average for the studies using chart review was 11.6% (15.6% in United States–based studies). Pneumonia, heart failure/cardiovascular causes, and chronic obstructive pulmonary disease/pulmonary causes are the most common reasons for early readmission after pneumonia hospitalization. Although it was the single most common cause for readmission, pneumonia accounted for only 17.9 to 29.4% of all 30-day readmissions in administrative studies and a weighted average of 23.0% in chart review studies. After accounting for study population, there was no clear difference in findings between claims-based versus chart-review studies. Few studies assessed readmissions beyond 30 days, although the limited available data suggest similar primary diagnoses for early and late readmissions. No studies assessed whether reasons for readmission were similar to patients’ reasons for healthcare use before hospitalization. Conclusions: Pneumonia, heart failure/cardiovascular disease, and chronic

Post–Acute Care Use and Hospital Readmission after Sepsis

PubMed Central

Jones, Tiffanie K.; Fuchs, Barry D.; Small, Dylan S.; Halpern, Scott D.; Hanish, Asaf; Umscheid, Craig A.; Baillie, Charles A.; Kerlin, Meeta Prasad; Gaieski, David F.

2015-01-01

Rationale: The epidemiology of post–acute care use and hospital readmission after sepsis remains largely unknown. Objectives: To examine the rate of post–acute care use and hospital readmission after sepsis and to examine risk factors and outcomes for hospital readmissions after sepsis. Methods: In an observational cohort study conducted in an academic health care system (2010–2012), we compared post–acute care use at discharge and hospital readmission after 3,620 sepsis hospitalizations with 108,958 nonsepsis hospitalizations. We used three validated, claims-based approaches to identify sepsis and severe sepsis. Measurements and Main Results: Post–acute care use at discharge was more likely after sepsis, driven by skilled care facility placement (35.4% after sepsis vs. 15.8%; P < 0.001), with the highest rate observed after severe sepsis. Readmission rates at 7, 30, and 90 days were higher postsepsis (P < 0.001). Compared with nonsepsis hospitalizations (15.6% readmitted within 30 d), the increased readmission risk was present regardless of sepsis severity (27.3% after sepsis and 26.0–26.2% after severe sepsis). After controlling for presepsis characteristics, the readmission risk was found to be 1.51 times greater (95% CI, 1.38–1.66) than nonsepsis hospitalizations. Readmissions after sepsis were more likely to result in death or transition to hospice care (6.1% vs. 13.3% after sepsis; P < 0.001). Independent risk factors associated with 30-day readmissions after sepsis hospitalizations included age, malignancy diagnosis, hospitalizations in the year prior to the index hospitalization, nonelective index admission type, one or more procedures during the index hospitalization, and low hemoglobin and high red cell distribution width at discharge. Conclusions: Post–acute care use and hospital readmissions were common after sepsis. The increased readmission risk after sepsis was observed regardless of sepsis severity and was associated with

What is the impact of a clinically related readmission measure on the assessment of hospital performance?

PubMed

Khouri, Roger K; Hou, Hechuan; Dhir, Apoorv; Andino, Juan J; Dupree, James M; Miller, David C; Ellimoottil, Chad

2017-11-28

The Hospital Readmission Reduction Program (HRRP) penalizes hospitals for high all-cause unplanned readmission rates. Many have expressed concern that hospitals serving patient populations with more comorbidities, lower incomes, and worse self-reported health status may be disproportionately penalized by readmissions that are not clinically related to the index admission. The impact of including clinically unrelated readmissions on hospital performance is largely unknown. We sought to determine if a clinically related readmission measure would significantly alter the assessment of hospital performance. We analyzed Medicare claims for beneficiaries in Michigan admitted for pneumonia and joint replacement from 2011 to 2013. We compared each hospital's 30-day readmission rate using specifications from the HRRP's all-cause unplanned readmission measure to values calculated using a clinically related readmission measure. We found that the mean 30-day readmission rates were lower when calculated using the clinically related readmission measure (joint replacement: all-cause 5.8%, clinically related 4.9%, p < 0.001; pneumonia: all cause 12.5%, clinically related 11.3%, p < 0.001)). The correlation of hospital ranks using both methods was strong (joint replacement: 0.95 (p < 0.001), pneumonia: 0.90 (p < 0.001)). Our findings suggest that, while greater specificity may be achieved with a clinically related measure, clinically unrelated readmissions may not impact hospital performance in the HRRP.

Predicting Readmission at Early Hospitalization Using Electronic Clinical Data: An Early Readmission Risk Score.

PubMed

Tabak, Ying P; Sun, Xiaowu; Nunez, Carlos M; Gupta, Vikas; Johannes, Richard S

2017-03-01

Identifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission. We developed an early readmission risk model using a derivation cohort and validated the model with a validation cohort. We used a published Acute Laboratory Risk of Mortality Score as an aggregated measure of clinical severity at admission and the number of hospital discharges in the previous 90 days as a measure of disease progression. We then evaluated the administrative data-enhanced model by adding principal and secondary diagnoses and other variables. We examined the c-statistic change when additional variables were added to the model. There were 1,195,640 adult discharges from 70 hospitals with 39.8% male and the median age of 63 years (first and third quartile: 43, 78). The 30-day readmission rate was 11.9% (n=142,211). The early readmission model yielded a graded relationship of readmission and the Acute Laboratory Risk of Mortality Score and the number of previous discharges within 90 days. The model c-statistic was 0.697 with good calibration. When administrative variables were added to the model, the c-statistic increased to 0.722. Automated clinical data can generate a readmission risk score early at hospitalization with fair discrimination. It may have applied value to aid early care transition. Adding administrative data increases predictive accuracy. The administrative data-enhanced model may be used for hospital comparison and outcome research.

Comparing 2 methods of assessing 30-day readmissions: what is the impact on hospital profiling in the veterans health administration?

PubMed

Mull, Hillary J; Chen, Qi; O'Brien, William J; Shwartz, Michael; Borzecki, Ann M; Hanchate, Amresh; Rosen, Amy K

2013-07-01

The Centers for Medicare and Medicaid Services' (CMS) all-cause readmission measure and the 3M Health Information System Division Potentially Preventable Readmissions (PPR) measure are both used for public reporting. These 2 methods have not been directly compared in terms of how they identify high-performing and low-performing hospitals. To examine how consistently the CMS and PPR methods identify performance outliers, and explore how the PPR preventability component impacts hospital readmission rates, public reporting on CMS' Hospital Compare website, and pay-for-performance under CMS' Hospital Readmission Reduction Program for 3 conditions (acute myocardial infarction, heart failure, and pneumonia). We applied the CMS all-cause model and the PPR software to VA administrative data to calculate 30-day observed FY08-10 VA hospital readmission rates and hospital profiles. We then tested the effect of preventability on hospital readmission rates and outlier identification for reporting and pay-for-performance by replacing the dependent variable in the CMS all-cause model (Yes/No readmission) with the dichotomous PPR outcome (Yes/No preventable readmission). The CMS and PPR methods had moderate correlations in readmission rates for each condition. After controlling for all methodological differences but preventability, correlations increased to >90%. The assessment of preventability yielded different outlier results for public reporting in 7% of hospitals; for 30% of hospitals there would be an impact on Hospital Readmission Reduction Program reimbursement rates. Despite uncertainty over which readmission measure is superior in evaluating hospital performance, we confirmed that there are differences in CMS-generated and PPR-generated hospital profiles for reporting and pay-for-performance, because of methodological differences and the PPR's preventability component.

Age trends in 30 day hospital readmissions: US national retrospective analysis

PubMed Central

Berry, Jay G; Gay, James C; Joynt Maddox, Karen; Coleman, Eric A; Bucholz, Emily M; O’Neill, Margaret R; Blaine, Kevin; Hall, Matthew

2018-01-01

Abstract Objective To assess trends in and risk factors for readmission to hospital across the age continuum. Design Retrospective analysis. Setting and participants 31 729 762 index hospital admissions for all conditions in 2013 from the US Agency for Healthcare Research and Quality Nationwide Readmissions Database. Main outcome measure 30 day, all cause, unplanned hospital readmissions. Odds of readmission were compared by patients’ age in one year epochs with logistic regression, accounting for sex, payer, length of stay, discharge disposition, number of chronic conditions, reason for and severity of admission, and data clustering by hospital. The middle (45 years) of the age range (0-90+ years) was selected as the age reference group. Results The 30 day unplanned readmission rate following all US index admissions was 11.6% (n=3 678 018). Referenced by patients aged 45 years, the adjusted odds ratio for readmission increased between ages 16 and 20 years (from 0.70 (95% confidence interval 0.68 to 0.71) to 1.04 (1.02 to 1.06)), remained elevated between ages 21 and 44 years (range 1.02 (1.00 to 1.03) to 1.12 (1.10 to 1.14)), steadily decreased between ages 46 and 64 years (range 1.02 (1.00 to 1.04) to 0.91 (0.90 to 0.93)), and decreased abruptly at age 65 years (0.78 (0.77 to 0.79)), after which the odds remained relatively constant with advancing age. Across all ages, multiple chronic conditions were associated with the highest adjusted odds of readmission (for example, 3.67 (3.64 to 3.69) for six or more versus no chronic conditions). Among children, young adults, and middle aged adults, mental health was one of the most common reasons for index admissions that had high adjusted readmission rates (≥75th centile). Conclusions The likelihood of readmission was elevated for children transitioning to adulthood, children and younger adults with mental health disorders, and patients of all ages with multiple chronic conditions. Further attention to the

The Influence of a Postdischarge Intervention on Reducing Hospital Readmissions in a Medicare Population

PubMed Central

Frey, Beth; Hall, Benjamin; Painter, Philip

2013-01-01

Abstract Hospital readmissions in the Medicare population may be related to a number of factors, including reoccurrence of illness, failure to understand or follow physician direction, or lack of follow-up care, among others. These readmissions significantly increase cost and utilization in this population, and are expected to increase with the projected growth in Medicare enrollment. The authors examined whether a postdischarge telephonic intervention for patients reduced 30-day hospital readmissions as compared to a matched control population. Postdischarge telephone calls were placed to patients after discharge from a hospital. Readmissions were monitored through health care claims data analysis. Of 48,538 Medicare members who received the intervention, 4504 (9.3%) were readmitted to the hospital within 30 days, as compared to 5598 controls (11.5%, P<0.0001). A direct correlation was observed between the timing of the intervention and the rate of readmission; the closer the intervention to the date of discharge the greater the reduction in number of readmissions. Furthermore, although emergency room visits were reduced in the intervention group as compared to controls (8.1% vs. 9.4%, P<0.0001), physician office visits increased (76.5% vs. 72.3%, P<0.0001), suggesting the intervention may have encouraged members to seek assistance leading to avoidance of readmission. As a group, overall cost savings were $499,458 for members who received the intervention, with $13,964,773 in savings to the health care plan. Support for patients after hospital discharge clearly affected hospital readmission and associated costs and warrants further development. (Population Health Management 2013;16:310–316) PMID:23537154

Vulnerable Hospitals and Cancer Surgery Readmissions: Insights into the Unintended Consequences of the Patient Protection and Affordable Care Act.

PubMed

Hong, Young; Zheng, Chaoyi; Hechenbleikner, Elizabeth; Johnson, Lynt B; Shara, Nawar; Al-Refaie, Waddah B

2016-07-01

Penalties from the Hospital Readmission Reduction Program can push financially strained, vulnerable patient-serving hospitals into additional hardship. In this study, we quantified the association between vulnerable hospitals and readmissions and examined the respective contributions of patient- and hospital-related factors. A total of 110,857 patients who underwent major cancer operations were identified from the 2004-2011 State Inpatient Database of California. Vulnerable hospitals were defined as either self-identified safety net hospitals (SNHs) or hospitals with a high percentage of Medicaid patients (high Medicaid hospitals [HMHs]). We used multivariable logistic regression to determine the association between vulnerable hospitals and readmission. Patient and hospital contributions to the elevation in odds of readmission were assessed by comparing estimates from models with different subsets of predictors. Of the 355 hospitals, 13 were SNHs and 31 were HMHs. After adjusting for Hospital Readmission Reduction Program variables, SNHs had higher 30-day (odds ratio [OR] = 1.32; 95% CI, 1.18-1.47), 90-day (OR = 1.28; 95% CI, 1.18-1.38), and repeated readmissions (OR = 1.33; 95% CI, 1.18-1.49); HMHs also had higher 30-day (OR = 1.18; 95% CI, 1.05-1.32), 90-day (OR = 1.28; 95% CI, 1.16-1.42), and repeated readmissions (OR = 1.24; 95% CI, 1.01-1.54). Compared with patient characteristics, hospital factors accounted for a larger proportion of the increase in odds of readmission among SNHs (60% to 93% vs 24% to 39%), but a smaller proportion among HMHs (9% to 15% vs 60% to 115%). Vulnerable status of hospitals is associated with higher readmission rates after major cancer surgery. These findings reinforce the call to account for socioeconomic variables in risk adjustments for hospitals who serve a disproportionate share of disadvantaged patients. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

A Predictive Model for Readmissions Among Medicare Patients in a California Hospital.

PubMed

Duncan, Ian; Huynh, Nhan

2017-11-17

Predictive models for hospital readmission rates are in high demand because of the Centers for Medicare & Medicaid Services (CMS) Hospital Readmission Reduction Program (HRRP). The LACE index is one of the most popular predictive tools among hospitals in the United States. The LACE index is a simple tool with 4 parameters: Length of stay, Acuity of admission, Comorbidity, and Emergency visits in the previous 6 months. The authors applied logistic regression to develop a predictive model for a medium-sized not-for-profit community hospital in California using patient-level data with more specific patient information (including 13 explanatory variables). Specifically, the logistic regression is applied to 2 populations: a general population including all patients and the specific group of patients targeted by the CMS penalty (characterized as ages 65 or older with select conditions). The 2 resulting logistic regression models have a higher sensitivity rate compared to the sensitivity of the LACE index. The C statistic values of the model applied to both populations demonstrate moderate levels of predictive power. The authors also build an economic model to demonstrate the potential financial impact of the use of the model for targeting high-risk patients in a sample hospital and demonstrate that, on balance, whether the hospital gains or loses from reducing readmissions depends on its margin and the extent of its readmission penalties.

A comparison of congestive heart failure readmissions among teaching and nonteaching hospital services.

PubMed

Palacio, Carlos; House, Jeffrey; Ibrahim, Saif; Touchan, Jean N; Mooradian, Ariana

2014-08-01

Heart failure (HF) is a leading cause of hospitalization in the United States. With the population trend shifting to a higher volume of elderly adults, the efficient management of HF will become increasingly essential. The development and implementation of The Patient Protection and Affordable Care Act and subsequent changes in reimbursement practices have made 30-day readmission rates a topic of much interest and relevance. The aim of the study was to compare rates of readmission among teaching and nonteaching hospitals. The authors gathered retrospective data on HF quality measures and readmission rates between August 2011 and July 2012, extracted from the institution's managerial accounting database. These data were compared among teaching and nonteaching hospitals. Patient demographics, readmission rates, readmission diagnoses, severity of illness, patient disposition, medications prescribed, cost of services, and mortality were reviewed. Analysis of variance was used for continuous variables; χ(2) analysis was used for evaluating categorical variables. A higher proportion of patients on the cardiology teaching service were men than on either the medicine teaching service or the medicine nonteaching service. Length of stay, case costs, and care costs were lowest for the cardiology teaching service; however, patient illness severity was lower on this service than on the other two services. Overall, readmissions and mortality were similar among all groups, but readmission for the same diagnosis was more likely on the cardiology service than on the medicine teaching and nonteaching services. Studies comparing teaching and nonteaching providers for an HF diagnosis are needed. Hospital readmission and mortality rates were similar across services and compared favorably with national data. Opportunities that target cost reduction and length of stay may be leveraged.

Hospital participation in Meaningful Use and racial disparities in readmissions.

PubMed

Unruh, Mark Aaron; Jung, Hye Young; Kaushal, Rainu; Vest, Joshua R

2018-01-01

To measure the impact of hospital participation in Meaningful Use (MU) on disparities in 30-day readmissions associated with race. A retrospective cohort study that compared the likelihood of 30-day readmission for Medicare beneficiaries discharged from hospitals participating in Stage 1 of MU with the likelihood of readmission for beneficiaries concurrently discharged from hospitals that were not participating in the initiative. Inpatient claims for 2,414,205 Medicare beneficiaries from Florida, New York, and Washington State were used as the primary data source. The study period (2009-2013) included at least 2 years of baseline data prior to each hospital initiating participation in MU. Estimates were derived with linear regression models that included hospital and time fixed effects. By including both hospital and time fixed effects, estimates were based on discharges from the same hospital in the same time period. MU participation among hospitals was not associated with a statistically significant change in readmissions for the broader Medicare population (percentage points [PP], 0.6; 95% CI, -0.2 to 1.4), but hospitals' participation in the initiative was associated with a lower likelihood of readmission for African American beneficiaries (PP, -0.9; 95% CI, -1.5 to -0.4). Hospital participation in MU reduced disparities in 30-day readmissions for African American Medicare beneficiaries.

Predictors of thirty-day readmission among hospitalized family medicine patients.

PubMed

Garrison, Gregory M; Mansukhani, Meghna P; Bohn, Bradley

2013-01-01

Hospital readmissions within 30 days of initial discharge occur frequently. In studies of elderly patients receiving Medicare, readmissions have been associated with poor-quality inpatient care, ineffective hospital-to-home transitions, patient characteristics, disease burden, and socioeconomic status. Among adult family medicine patients spanning a wide age range, we hypothesize that previous hospitalizations, length of stay, number of discharge medications, medical comorbidities, and patient demographics are associated with a greater risk of hospital readmission within 30 days. A retrospective case-control study of 276 family medicine inpatients was conducted to determine the factors associated with 30-day readmission. Bivariate statistics were computed and a multivariate analysis using logistic regression was performed to determine the independent effects of each factor. Patients readmitted within 30 days had more hospitalizations, more emergency department visits, longer hospital stays, more comorbidities, and more discharge medications and were less likely to be married. Multivariate logistic regression found that hospitalization within the previous 12 months (odds ratio, 2.71) and long hospital stays (odds ratio, 2.16) were associated with 30-day readmission; being married (odds ratio, 0.54) had a protective effect. This study demonstrates that factors previously found to be associated with 30-day readmission among elderly patients receiving Medicare also apply to family medicine patients of all ages. It also demonstrates prior hospitalizations, length of stay, and marital status are useful proxies for many more complicated factors, such as disease burden, medical complexity, and social issues, that influence hospital readmission.

Association Between Community Social Capital and Hospital Readmission Rates.

PubMed

Brewster, Amanda L; Lee, Suhna; Curry, Leslie A; Bradley, Elizabeth H

2018-05-31

Hospital readmissions remain frequent, and are partly attributable to patients' social needs. The authors sought to examine whether local community levels of social capital are associated with hospital readmission rates. Social capital refers to the connections among members of a society that foster norms of reciprocity and trust, which may influence the availability of support for postdischarge recovery after hospitalization. Associations between hospital-wide, risk-stratified readmission rates for hospitals in the United States (n = 4298) and levels of social capital in the hospitals' service areas were examined. Social capital was measured by an index of participation in associational activities and civic affairs. A multivariate linear regression model was used to adjust for hospital and community factors such as hospital financial performance, race, income, and availability of heath care services. Results showed that higher social capital was significantly associated with lower readmission rates (P < .01), a finding that held across income-stratified analyses as well as sensitivity analyses that included hospital performance on process quality measures and hospital community engagement activities. A hospital is unlikely to be able to influence prevailing levels of social capital in its region, but in areas of low social capital, it may be possible for public or philanthropic sectors to buttress the types of institutions that address nonmedical causes of readmission.

Functional Impairment and Hospital Readmission in Medicare Seniors

PubMed Central

Greysen, S. Ryan; Cenzer, Irena Stijacic; Auerbach, Andrew D.; Covinsky, Kenneth E.

2015-01-01

Importance Medicare currently penalizes hospitals for high rates of readmission for seniors but does not account for common age-related syndromes such as functional impairment. Objectives Given the high prevalence of functional impairments in community-dwelling seniors, we assessed effects of functional impairment on Medicare hospital readmissions. Study Design, Participants, and Setting We created a nationally-representative cohort of 7,854 community-dwelling seniors in the Health and Retirement Study (HRS) with 22,289 Medicare hospitalizations from 2000–2010. Main Outcome and Measurements Outcome was 30-day readmission, assessed by Medicare claims. Main predictor was functional impairment determined from HRS interview preceding hospitalization, stratified into 5 levels: no functional impairments, difficulty with ≥1 instrumental activity of daily living (IADL), difficulty with ≥1 activity of daily living (ADL), dependency (need for help) in 1–2 ADLs, and dependency in ≥3 ADLs. Adjustment variables included age, race, gender, income, and net worth and comorbid conditions (Elixhauser score from Medicare claims), and prior admission. We performed multivariable logistic regression adjusted for clustering at patient level to characterize the association of functional impairments and readmission. Results Mean age 79 (±8; 65–105), 58% female, 85% White, 90% reported ≥3 comorbidities, 86% had ≥1 hospitalization in previous year. Overall, 48% had some level of functional impairment prior to admission and 15% experienced a 30-day readmission. We found a progressive increase in adjusted risk of readmission as the degree of functional impairment increased: 13.5% with no functional impairment, 14.3% with ≥ 1 IADL difficulty (OR 1.06; 95% CI 0.94–1.20), 14.4% with ≥1 ADL difficulty (OR 1.08; 0.96–1.21), 16.5% with dependency in 1–2 ADLs (OR 1.26; 1.11–1.44), and 18.2% with dependency in ≥3 ADLs (1.42; 1.20–1.69). Sub-analysis restricted to

Hospital readmission after ambulatory laparoscopic cholecystectomy: incidence and predictors.

PubMed

Rosero, Eric B; Joshi, Girish P

2017-11-01

The aim of the study was to assess the rate of 30-d hospital readmissions after ambulatory laparoscopic cholecystectomy. The 2009 to 2011 State Ambulatory Surgery and Services and State Inpatient Databases from California, Florida, and New York were analyzed to evaluate the incidence of 30-d readmissions after laparoscopic cholecystectomy performed in outpatient settings. Hospital transfers and the principal diagnoses of hospital readmission were analyzed as secondary outcomes. Multilevel generalized mixed linear regression analyses with fixed and random effects were used to evaluate variables associated with increased likelihood of readmissions. A total of 230,745 encounters for ambulatory laparoscopic cholecystectomies performed in 890 ambulatory facilities between 2009 and 2011 in the three states were analyzed. The rate of 30-d readmission was 20.2 per 1000 discharges. The rate of direct transfers from the ambulatory surgery center to an acute care hospital was 0.6 per 1000 discharges. The most common diagnoses of readmission were surgical complications, postoperative pain, infection, and nausea or vomiting. After adjusting for comorbidities, increasing age, male sex, non-Hispanic white race/ethnicity, any nonprivate insurance type, diagnosis of acute cholecystitis, use of intraoperative cholangiography, and having the procedure performed on a weekend were significantly associated with increased odds of 30-d readmissions. This large-state data analysis reveals that the unplanned admission and readmission rates after laparoscopic cholecystectomy are very low. Some causes of readmission (e.g., pain, nausea, and vomiting) are modifiable by the intervention of surgeons and anesthesia providers. Copyright © 2017 Elsevier Inc. All rights reserved.

Influence of Sacubitril/Valsartan (LCZ696) on 30-Day Readmission After Heart Failure Hospitalization.

PubMed

Desai, Akshay S; Claggett, Brian L; Packer, Milton; Zile, Michael R; Rouleau, Jean L; Swedberg, Karl; Shi, Victor; Lefkowitz, Martin; Starling, Randall; Teerlink, John; McMurray, John J V; Solomon, Scott D

2016-07-19

Patients with heart failure (HF) are at high risk for hospital readmission in the first 30 days following HF hospitalization. This study sought to determine if treatment with sacubitril/valsartan (LCZ696) reduces rates of hospital readmission at 30-days following HF hospitalization compared with enalapril. We assessed the risk of 30-day readmission for any cause following investigator-reported hospitalizations for HF in the PARADIGM-HF trial, which randomized 8,399 participants with HF and reduced ejection fraction to treatment with LCZ696 or enalapril. Accounting for multiple hospitalizations per patient, there were 2,383 investigator-reported HF hospitalizations, of which 1,076 (45.2%) occurred in subjects assigned to LCZ696 and 1,307 (54.8%) occurred in subjects assigned to enalapril. Rates of readmission for any cause at 30 days were 17.8% in LCZ696-assigned subjects and 21.0% in enalapril-assigned subjects (odds ratio: 0.74; 95% confidence interval: 0.56 to 0.97; p = 0.031). Rates of readmission for HF at 30-days were also lower in subjects assigned to LCZ696 (9.7% vs. 13.4%; odds ratio: 0.62; 95% confidence interval: 0.45 to 0.87; p = 0.006). The reduction in both all-cause and HF readmissions with LCZ696 was maintained when the time window from discharge was extended to 60 days and in sensitivity analyses restricted to adjudicated HF hospitalizations. Compared with enalapril, treatment with LCZ696 reduces 30-day readmissions for any cause following discharge from HF hospitalization. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Patient Characteristics Predicting Readmission Among Individuals Hospitalized for Heart Failure

PubMed Central

O'Connor, Melissa; Murtaugh, Christopher M.; Shah, Shivani; Barrón-Vaya, Yolanda; Bowles, Kathryn H.; Peng, Timothy R.; Zhu, Carolyn W.; Feldman, Penny H.

2015-01-01

Heart failure is difficult to manage and increasingly common with many individuals experiencing frequent hospitalizations. Little is known about patient factors consistently associated with hospital readmission. A literature review was conducted to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. Database searches yielded 950 potential articles, of which 34 studies met inclusion criteria. Patient characteristics generally have a very modest effect on all-cause or heart failure–related readmission within 7 to 180 days of index hospital discharge. A range of cardiac diseases and other comorbidities only minimally increase readmission rates. No single patient characteristic stands out as a key contributor across multiple studies underscoring the challenge of developing successful interventions to reduce readmissions. Interventions may need to be general in design with the specific intervention depending on each patient's unique clinical profile. PMID:26180045

Magnitude of Anemia at Discharge Increases 30-Day Hospital Readmissions.

PubMed

Koch, Colleen G; Li, Liang; Sun, Zhiyuan; Hixson, Eric D; Tang, Anne; Chagin, Kevin; Kattan, Michael; Phillips, Shannon C; Blackstone, Eugene H; Henderson, J Michael

2017-12-01

Anemia during hospitalization is associated with poor health outcomes. Does anemia at discharge place patients at risk for hospital readmission within 30 days of discharge? Our objectives were to examine the prevalence and magnitude of anemia at hospital discharge and determine whether anemia at discharge was associated with 30-day readmissions among a cohort of hospitalizations in a single health care system. From January 1, 2009, to August 31, 2011, there were 152,757 eligible hospitalizations within a single health care system. The endpoint was any hospitalization within 30 days of discharge. The University HealthSystem Consortium's clinical database was used for demographics and comorbidities; hemoglobin values are from the hospitals' electronic medical records, and readmission status was obtained from the University HealthSystem Consortium administrative data systems. Mild anemia was defined as hemoglobin of greater than 11 to less than 12 g/dl in women and greater than 11 to less than 13 g/dl in men; moderate, greater than 9 to less than or equal to 11 g/dl; and severe, less than or equal to 9 g/dl. Logistic regression was used to assess the association of anemia and 30-day readmissions adjusted for demographics, comorbidity, and hospitalization type. Among 152,757 hospitalizations, 72% of patients were discharged with anemia: 31,903 (21%), mild; 52,971 (35%), moderate; and 25,522 (17%), severe. Discharge anemia was associated with severity-dependent increased odds for 30-day hospital readmission compared with those without anemia: for mild anemia, 1.74 (1.65-1.82); moderate anemia, 2.76 (2.64-2.89); and severe anemia, 3.47 (3.30-3.65), P < 0.001. Anemia at discharge is associated with a severity-dependent increased risk for 30-day readmission. A strategy focusing on anemia treatment care paths during index hospitalization offers an opportunity to influence subsequent readmissions.

Development of an Automated, Real Time Surveillance Tool for Predicting Readmissions at a Community Hospital

PubMed Central

Gildersleeve, R.; Cooper, P.

2013-01-01

Background The Centers for Medicare and Medicaid Services’ Readmissions Reduction Program adjusts payments to hospitals based on 30-day readmission rates for patients with acute myocardial infarction, heart failure, and pneumonia. This holds hospitals accountable for a complex phenomenon about which there is little evidence regarding effective interventions. Further study may benefit from a method for efficiently and inexpensively identifying patients at risk of readmission. Several models have been developed to assess this risk, many of which may not translate to a U.S. community hospital setting. Objective To develop a real-time, automated tool to stratify risk of 30-day readmission at a semirural community hospital. Methods A derivation cohort was created by extracting demographic and clinical variables from the data repository for adult discharges from calendar year 2010. Multivariate logistic regression identified variables that were significantly associated with 30-day hospital readmission. Those variables were incorporated into a formula to produce a Risk of Readmission Score (RRS). A validation cohort from 2011 assessed the predictive value of the RRS. A SQL stored procedure was created to calculate the RRS for any patient and publish its value, along with an estimate of readmission risk and other factors, to a secure intranet site. Results Eleven variables were significantly associated with readmission in the multivariate analysis of each cohort. The RRS had an area under the receiver operating characteristic curve (c-statistic) of 0.74 (95% CI 0.73-0.75) in the derivation cohort and 0.70 (95% CI 0.69-0.71) in the validation cohort. Conclusion Clinical and administrative data available in a typical community hospital database can be used to create a validated, predictive scoring system that automatically assigns a probability of 30-day readmission to hospitalized patients. This does not require manual data extraction or manipulation and uses commonly

Sex and racial/ethnic differences in the reason for 30-day readmission after COPD hospitalization.

PubMed

Goto, Tadahiro; Faridi, Mohammad Kamal; Gibo, Koichiro; Camargo, Carlos A; Hasegawa, Kohei

2017-10-01

Reduction of 30-day readmissions in patients hospitalized for chronic obstructive pulmonary disease (COPD) is a national objective. However, there is a dearth of research on sex and racial/ethnic differences in the reason for 30-day readmission. We conducted a retrospective cohort study using 2006-2012 data from the State Inpatient Database of eight geographically-diverse US states (Arkansas, California, Florida, Iowa, Nebraska, New York, Utah, and Washington). After identifying all hospitalizations for COPD made by patients aged ≥40 years, we investigated the primary diagnostic code for all-cause readmissions within 30 days after the original COPD hospitalization, among the overall group and by sex and race/ethnicity strata. Between 2006 and 2012, there was a total of 845,465 COPD hospitalizations at risk for 30-day readmissions in the eight states. COPD was the leading diagnostic for 30-day readmission after COPD hospitalization, both overall (28%) and across all sex and race/ethnicity strata. The proportion of respiratory diseases (COPD, pneumonia, respiratory failure, and asthma) as the readmission diagnosis was higher in non-Hispanic black (55%), compared to non-Hispanic white (52%) and Hispanics (51%) (p < 0.001). The proportion of asthma as the readmission diagnosis differed significantly by sex (6% in men and 9% in women; p < 0.001). Similarly, the proportion of asthma also differed significantly by race/ethnicity (5% in non-Hispanic white, 16% in non-Hispanic black, 15% in Hispanics, 13% in others; p < 0.001). In this analysis of all-payer population-based data, we found sex and racial/ethnic differences in the reason for 30-day readmission in patients hospitalized for COPD. Copyright © 2017 Elsevier Ltd. All rights reserved.

Predictors of readmission to non-index hospitals after colorectal surgery.

PubMed

Cloyd, Jordan M; Huang, Lyen; Ma, Yifei; Rhoads, Kim F

2017-01-01

Although a significant proportion of patients are readmitted to non-index hospitals after surgery, risk factors for non-index hospital readmission are not well defined. Using the California Office of State Health Planning and Development database from 2008 to 2012, patients readmitted to index versus non-index hospitals after colorectal surgery were directly compared. Risk factors for non-index hospital readmission were assessed through logistic regression. Among the 14,401 patients requiring readmission, 10,890 (75.6%) were readmitted to index hospitals, whereas 3,511 (24.4%) were readmitted to non-index hospitals. Patients readmitted to non-index hospitals were more likely to be men and have a greater Charlson comorbidity index, non-private insurance, longer initial length of stay, longer travel distance, and non-home discharge disposition. On multivariable logistic regression analysis, living ≥10 miles from the index hospital was strongly predictive of non-index hospital readmission (odds ratio, 1.8; 95% confidence interval, 1.63 to 2.00). Approximately 25% of readmissions after colorectal surgery will be to non-index hospitals. Risks factors include greater comorbidities, non-private health insurance, occurrence of an inpatient complication, longer length of stay, greater travel distance, and non-home discharge disposition. Copyright © 2016 Elsevier Inc. All rights reserved.

Patient Characteristics Predicting Readmission Among Individuals Hospitalized for Heart Failure.

PubMed

O'Connor, Melissa; Murtaugh, Christopher M; Shah, Shivani; Barrón-Vaya, Yolanda; Bowles, Kathryn H; Peng, Timothy R; Zhu, Carolyn W; Feldman, Penny H

2016-02-01

Heart failure is difficult to manage and increasingly common with many individuals experiencing frequent hospitalizations. Little is known about patient factors consistently associated with hospital readmission. A literature review was conducted to identify heart failure patient characteristics, measured before discharge, that contribute to variation in hospital readmission rates. Database searches yielded 950 potential articles, of which 34 studies met inclusion criteria. Patient characteristics generally have a very modest effect on all-cause or heart failure-related readmission within 7 to 180 days of index hospital discharge. A range of cardiac diseases and other comorbidities only minimally increase readmission rates. No single patient characteristic stands out as a key contributor across multiple studies underscoring the challenge of developing successful interventions to reduce readmissions. Interventions may need to be general in design with the specific intervention depending on each patient's unique clinical profile. © The Author(s) 2015.

Impact of Hospital Population Case-Mix, Including Poverty, on Hospital All-Cause and Infection-Related 30-Day Readmission Rates.

PubMed

Gohil, Shruti K; Datta, Rupak; Cao, Chenghua; Phelan, Michael J; Nguyen, Vinh; Rowther, Armaan A; Huang, Susan S

2015-10-15

Reducing hospital readmissions, including preventable healthcare-associated infections, is a national priority. The proportion of readmissions due to infections is not well-understood. Better understanding of hospital risk factors for readmissions and infection-related readmissions may help optimize interventions to prevent readmissions. Retrospective cohort study of California acute care hospitals and their patient populations discharged between 2009 and 2011. Demographics, comorbidities, and socioeconomic status were entered into a hierarchical generalized linear mixed model predicting all-cause and infection-related readmissions. Crude verses adjusted hospital rankings were compared using Cohen's kappa. We assessed 30-day readmission rates from 323 hospitals, accounting for 213 879 194 post-discharge person-days of follow-up. Infection-related readmissions represented 28% of all readmissions and were associated with discharging a high proportion of patients to skilled nursing facilities. Hospitals serving populations with high proportions of males, comorbidities, prolonged length of stay, and populations living in a federal poverty area, had higher all-cause and infection-related readmission rates. Academic hospitals had higher all-cause and infection-related readmission rates (odds ratio 1.24 and 1.15, respectively). When comparing adjusted vs crude hospital rankings for infection-related readmission rates, adjustment revealed 31% of hospitals changed performance category for infection-related readmissions. Infection-related readmissions accounted for nearly 30% of all-cause readmissions. High hospital infection-related readmissions were associated with serving a high proportion of patients with comorbidities, long lengths of stay, discharge to skilled nursing facility, and those living in federal poverty areas. Preventability of these infections needs to be assessed. © The Author 2015. Published by Oxford University Press on behalf of the Infectious Diseases

Thirty-day readmission rates following hospitalization for pediatric sickle cell crisis at freestanding children's hospitals: risk factors and hospital variation.

PubMed

Sobota, Amy; Graham, Dionne A; Neufeld, Ellis J; Heeney, Matthew M

2012-01-01

Readmission within 30 days after hospitalization for sickle cell crisis was developed by The National Association of Children's Hospitals (NACHRI) to improve hospital quality, however, there have been few studies validating this. We performed a retrospective examination of 12,104 hospitalizations for sickle crisis from July 1, 2006 and December 31, 2008 at 33 freestanding children's hospitals in the Pediatric Health Information System (PHIS) database. Hospitalizations met NACHRI criteria; inpatient admission, APR DRG code 662, age < 18, discharge home, and length of stay within 2 SD of the mean. We describe 30-day readmission rates, identify factors associated with readmission accounting for patient-level clustering and compare unadjusted versus adjusted variation in readmission rates. We identified 4,762 patients with 12,104 qualifying hospitalizations (1-30 per patient). Two thousand seventy-four (17%) hospitalizations resulted in a readmission within 30 days. Significant factors associated with readmission were age (OR 1.06/year, P < 0.0001), inpatient use of steroids (OR 1.48, P = 0.01) admission for pain without other sickle complications (OR 1.52, P < 0.0001) and simple transfusion (OR 0.58, P = 0.0002). There was significant variation in readmission rates between hospitals, even after accounting for clustering by patient and hospital case mix. In a sample of free-standing children's hospitals, 17% of hospitalizations for sickle cell crisis result in readmission within 30 days. Older patients, those treated with steroids and those admitted for pain are more likely to be readmitted; simple transfusion is protective. Even after adjusting for case mix substantial hospital variation remains, but specific hospital to hospital comparisons differ depending on the exact methods used. Copyright © 2011 Wiley Periodicals, Inc.

Functional impairment and hospital readmission in Medicare seniors.

PubMed

Greysen, S Ryan; Stijacic Cenzer, Irena; Auerbach, Andrew D; Covinsky, Kenneth E

2015-04-01

Medicare currently penalizes hospitals for high readmission rates for seniors but does not account for common age-related syndromes, such as functional impairment. To assess the effects of functional impairment on Medicare hospital readmissions given the high prevalence of functional impairments in community-dwelling seniors. We created a nationally representative cohort of 7854 community-dwelling seniors in the Health and Retirement Study, with 22,289 Medicare hospitalizations from January 1, 2000, through December 31, 2010. Outcome was 30-day readmission assessed by Medicare claims. The main predictor was functional impairment determined from the Health and Retirement Study interview preceding hospitalization, stratified into the following 5 levels: no functional impairments, difficulty with 1 or more instrumental activities of daily living, difficulty with 1 or more activities of daily living (ADL), dependency (need for help) in 1 to 2 ADLs, and dependency in 3 or more ADLs. Adjustment variables included age, race/ethnicity, sex, annual income, net worth, comorbid conditions (Elixhauser score from Medicare claims), and prior admission. We performed multivariable logistic regression to adjust for clustering at the patient level to characterize the association of functional impairments and readmission. Patients had a mean (SD) age of 78.5 (7.7) years (range, 65-105 years); 58.4% were female, 84.9% were white, 89.6% reported 3 or more comorbidities, and 86.0% had 1 or more hospitalizations in the previous year. Overall, 48.3% had some level of functional impairment before admission, and 15.5% of hospitalizations were followed by readmission within 30 days. We found a progressive increase in the adjusted risk of readmission as the degree of functional impairment increased: 13.5% with no functional impairment, 14.3% with difficulty with 1 or more instrumental activities of daily living (odds ratio [OR], 1.06; 95% CI, 0.94-1.20), 14.4% with difficulty with 1 or more

Readmission Rates and Long-Term Hospital Costs Among Survivors of In-Hospital Cardiac Arrest

PubMed Central

Chan, Paul S.; Nallamothu, Brahmajee K.; Krumholz, Harlan M.; Curtis, Lesley H.; Li, Yan; Hammill, Bradley G.; Spertus, John A.

2014-01-01

Background Although in-hospital cardiac arrest is common, little is known about readmission patterns and inpatient resource use among survivors of in-hospital cardiac arrest. Methods and Results Within a large national registry, we examined long-term inpatient utilization among 6972 adults ≥65 years who survived an in-hospital cardiac arrest. We examined 30-day and 1-year readmission rates and inpatient costs, overall and by patient demographics, hospital disposition (discharge destination), and neurological status at discharge. The mean age was 75.8 ± 7.0 years, 56% were men, and 12% were black. There were a total of 2005 readmissions during the first 30 days (cumulative incidence rate: 35 readmissions/100 patients [95% CI: 33–37]) and 8751 readmissions at 1 year (cumulative incidence rate: 185 readmissions/100 patients [95% CI: 177–190]). Overall, mean inpatient costs were $7,741 ± $2323 at 30 days and $18,629 ± $9411 at 1 year. Thirty-day inpatient costs were higher in patients of younger age (≥85 years: $6052 [reference]; 75–84 years: $7444 [adjusted cost ratio, 1.23 [1.06–1.42]; 65–74 years: $8291 [adjusted cost ratio, 1.37 [1.19–1.59]; both P<0.001]) and black race (whites: $7413; blacks: $9044; adjusted cost ratio, 1.22 [1.05–1.42]; P<0.001), as well as those discharged with severe neurological disability or to skilled nursing or rehabilitation facilities. These differences in resource use persisted at 1 year and were largely due to higher readmission rates. Conclusion Survivors of in-hospital cardiac arrest have frequent readmissions and high follow-up inpatient costs. Readmissions and inpatient costs were higher in certain subgroups, including patients of younger age and black race. PMID:25351479

The Relationship Between Index Hospitalizations, Sepsis, and Death or Transition to Hospice Care During 30-Day Hospital Readmissions.

PubMed

Dietz, Brett W; Jones, Tiffanie K; Small, Dylan S; Gaieski, David F; Mikkelsen, Mark E

2017-04-01

Hospital readmissions are common, expensive, and increasingly used as a metric for assessing quality of care. The relationship between index hospitalizations and specific outcomes among those readmitted remains largely unknown. Identify risk factors present during the index hospitalization associated with death or transition to hospice care during 30-day readmissions and examine the contribution of infection in readmissions resulting in death. Retrospective cohort study. A total of 17,716 30-day readmissions in an academic health system. We used mixed-effects multivariable logistic regression models to identify risk factors associated with the primary outcome, in-hospital death, or transition to hospice during 30-day readmissions. Of 17,716 30-day readmissions, 1144 readmissions resulted in death or transition to hospice care (6.5%). Risk factors identified included: age, burden, and type of comorbid conditions, recent hospitalizations, nonelective index admission type, outside hospital transfer, low discharge hemoglobin, low discharge sodium, high discharge red blood cell distribution width, and disposition to a setting other than home. Sepsis (OR=1.33; 95% CI, 1.02-1.72; P=0.03) and shock (OR=1.78; 95% CI, 1.22-2.58; P=0.002) during the index admission were associated with the primary outcome, and in-hospital mortality specifically. In patients who died, infection was the primary cause for readmission in 51.6% of readmissions after sepsis and 28.6% of readmissions after a nonsepsis hospitalization (P=0.009). We identified factors, including sepsis and shock during the index hospitalization, associated with death or transition to hospice care during readmission. Infection was frequently implicated as the cause of a readmission that ended in death.

Underlying reasons associated with hospital readmission following surgery in the United States.

PubMed

Merkow, Ryan P; Ju, Mila H; Chung, Jeanette W; Hall, Bruce L; Cohen, Mark E; Williams, Mark V; Tsai, Thomas C; Ko, Clifford Y; Bilimoria, Karl Y

2015-02-03

Financial penalties for readmission have been expanded beyond medical conditions to include surgical procedures. Hospitals are working to reduce readmissions; however, little is known about the reasons for surgical readmission. To characterize the reasons, timing, and factors associated with unplanned postoperative readmissions. Patients undergoing surgery at one of 346 continuously enrolled US hospitals participating in the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) between January 1, 2012, and December 31, 2012, had clinically abstracted information examined. Readmission rates and reasons (ascertained by clinical data abstractors at each hospital) were assessed for all surgical procedures and for 6 representative operations: bariatric procedures, colectomy or proctectomy, hysterectomy, total hip or knee arthroplasty, ventral hernia repair, and lower extremity vascular bypass. Unplanned 30-day readmission and reason for readmission. The unplanned readmission rate for the 498,875 operations was 5.7%. For the individual procedures, the readmission rate ranged from 3.8% for hysterectomy to 14.9% for lower extremity vascular bypass. The most common reason for unplanned readmission was surgical site infection (SSI) overall (19.5%) and also after colectomy or proctectomy (25.8%), ventral hernia repair (26.5%), hysterectomy (28.8%), arthroplasty (18.8%), and lower extremity vascular bypass (36.4%). Obstruction or ileus was the most common reason for readmission after bariatric surgery (24.5%) and the second most common reason overall (10.3%), after colectomy or proctectomy (18.1%), ventral hernia repair (16.7%), and hysterectomy (13.4%). Only 2.3% of patients were readmitted for the same complication they had experienced during their index hospitalization. Only 3.3% of patients readmitted for SSIs had experienced an SSI during their index hospitalization. There was no time pattern for readmission, and early (≤7 days

Hospital readmission after management of appendicitis at freestanding children's hospitals: contemporary trends and financial implications.

PubMed

Rice-Townsend, Samuel; Hall, Matthew; Barnes, Jeff N; Baxter, Jessica K; Rangel, Shawn J

2012-06-01

The purpose of this study was to characterize epidemiologic trends and cost implications of hospital readmission after treatment of pediatric appendicitis. We conducted a 5-year retrospective cohort analysis of 30-day readmission rates for 52,054 patients admitted with appendicitis at 38 children's hospitals participating in the Pediatric Health Information System database. Patients were categorized as "uncomplicated" (postoperative length of stay [LOS] ≤ 2 days) or "complicated" (LOS ≥ 3 days and ≥ 4 consecutive days of antibiotics) and analyzed for demographic data, treatment received during the index admission, readmission rates, and excess LOS and hospital-related costs attributable to readmission encounters. The aggregate 30-day readmission rate was 8.7%, and this varied significantly by disease severity and management approach (uncomplicated appendectomy, 5.6%; complicated appendectomy, 12.8%; drainage, 22.6%; antibiotics only, 24.6%; P < .0001). The median hospital cost per case attributable to readmission was $3401 (reflecting a 44% relative increase in cumulative treatment-related cost), and this varied significantly by disease severity and management approach (uncomplicated appendectomy, $1946 [31% relative increase]; complicated appendectomy, $6524 [53% increase]; drainage, $6827 [48% increase]; antibiotics only, $5835 [58% increase]; P < .0001). In freestanding children's hospitals, readmission after treatment of pediatric appendicitis is a relatively common and costly occurrence. Collaborative efforts are needed to characterize patient, treatment, and hospital-related risk factors as a basis for developing preventative strategies. Copyright © 2012 Elsevier Inc. All rights reserved.

The number of discharge medications predicts thirty-day hospital readmission: a cohort study.

PubMed

Picker, David; Heard, Kevin; Bailey, Thomas C; Martin, Nathan R; LaRossa, Gina N; Kollef, Marin H

2015-07-23

Hospital readmission occurs often and is difficult to predict. Polypharmacy has been identified as a potential risk factor for hospital readmission. However, the overall impact of the number of discharge medications on hospital readmission is still undefined. To determine whether the number of discharge medications is predictive of thirty-day readmission using a retrospective cohort study design performed at Barnes-Jewish Hospital from January 15, 2013 to May 9, 2013. The primary outcome assessed was thirty-day hospital readmission. We also assessed potential predictors of thirty-day readmission to include the number of discharge medications. The final cohort had 5507 patients of which 1147 (20.8 %) were readmitted within thirty days of their hospital discharge date. The number of discharge medications was significantly greater for patients having a thirty-day readmission compared to those without a thirty-day readmission (7.2 ± 4.1 medications [7.0 medications (4.0 medications, 10.0 medications)] versus 6.0 ± 3.9 medications [6.0 medications (3.0 medications, 9.0 medications)]; P < 0.001). There was a statistically significant association between increasing numbers of discharge medications and the prevalence of thirty-day hospital readmission (P < 0.001). Multiple logistic regression identified more than six discharge medications to be independently associated with thirty-day readmission (OR, 1.26; 95 % CI, 1.17-1.36; P = 0.003). Other independent predictors of thirty-day readmission were: more than one emergency department visit in the previous six months, a minimum hemoglobin value less than or equal to 9 g/dL, presence of congestive heart failure, peripheral vascular disease, cirrhosis, and metastatic cancer. A risk score for thirty-day readmission derived from the logistic regression model had good predictive accuracy (AUROC = 0.661 [95 % CI, 0.643-0.679]). The number of discharge medications is associated with the prevalence of thirty-day hospital

Can use of an administrative database improve accuracy of hospital-reported readmission rates?

PubMed

Edgerton, James R; Herbert, Morley A; Hamman, Baron L; Ring, W Steves

2018-05-01

Readmission rates after cardiac surgery are being used as a quality indicator; they are also being collected by Medicare and are tied to reimbursement. Accurate knowledge of readmission rates may be difficult to achieve because patients may be readmitted to different hospitals. In our area, 81 hospitals share administrative claims data; 28 of these hospitals (from 5 different hospital systems) do cardiac surgery and share Society of Thoracic Surgeons (STS) clinical data. We used these 2 sources to compare the readmissions data for accuracy. A total of 45,539 STS records from January 2008 to December 2016 were matched with the hospital billing data records. Using the index visit as the start date, the billing records were queried for any subsequent in-patient visits for that patient. The billing records included date of readmission and hospital of readmission data and were compared with the data captured in the STS record. We found 1153 (2.5%) patients who had STS records that were marked "No" or "missing," but there were billing records that showed a readmission. The reported STS readmission rate of 4796 (10.5%) underreported the readmission rate by 2.5 actual percentage points. The true rate should have been 13.0%. Actual readmission rate was 23.8% higher than reported by the clinical database. Approximately 36% of readmissions were to a hospital that was a part of a different hospital system. It is important to know accurate readmission rates for quality improvement processes and institutional financial planning. Matching patient records to an administrative database showed that the clinical database may fail to capture many readmissions. Combining data with an administrative database can enhance accuracy of reporting. Copyright © 2017 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Thirty-Day Readmission Rates Following Hospitalization for Pediatric Sickle Cell Crisis at Freestanding Children’s Hospitals: Risk Factors and Hospital Variation

PubMed Central

Sobota, Amy; Graham, Dionne A.; Neufeld, Ellis J.; Heeney, Matthew M.

2015-01-01

Background Readmission within 30 days after hospitalization for sickle cell crisis was developed by The National Association of Children’s Hospitals (NACHRI) to improve hospital quality, however, there have been few studies validating this. Procedure We performed a retrospective examination of 12,104 hospitalizations for sickle crisis from July 1, 2006 and December 31, 2008 at 33 freestanding children’s hospitals in the Pediatric Health Information System (PHIS) database. Hospitalizations met NACHRI criteria; inpatient admission, APR DRG code 662, age < 18, discharge home, and length of stay within 2 SD of the mean. We describe 30-day readmission rates, identify factors associated with readmission accounting for patient-level clustering and compare unadjusted versus adjusted variation in readmission rates. Results We identified 4,762 patients with 12,104 qualifying hospitalizations (1–30 per patient). Two thousand seventy-four (17%) hospitalizations resulted in a readmission within 30 days. Significant factors associated with readmission were age (OR 1.06/year, P < 0.0001), inpatient use of steroids (OR 1.48, P = 0.01) admission for pain without other sickle complications (OR 1.52, P < 0.0001) and simple transfusion (OR 0.58, P = 0.0002). There was significant variation in readmission rates between hospitals, even after accounting for clustering by patient and hospital case mix. Conclusions In a sample of free-standing children’s hospitals, 17% of hospitalizations for sickle cell crisis result in readmission within 30 days. Older patients, those treated with steroids and those admitted for pain are more likely to be readmitted; simple transfusion is protective. Even after adjusting for case mix substantial hospital variation remains, but specific hospital to hospital comparisons differ depending on the exact methods used. PMID:21674766

Readmissions due to traffic accidents at a general hospital.

PubMed

Paiva, Luciana; Monteiro, Damiana Aparecida Trindade; Pompeo, Daniele Alcalá; Ciol, Márcia Aparecida; Dantas, Rosana Aparecida Spadotti; Rossi, Lídia Aparecida

2015-01-01

to verify the occurrence and the causes of hospital readmissions within a year after discharge from hospitalizations due to traffic accidents. victims of multiple traumas due to traffic accidents were included, who were admitted to an Intensive Care Unit. Sociodemographic data, accident circumstances, body regions affected and cause of readmission were collected from the patient histories. among the 109 victims of traffic accidents, the majority were young and adult men. Most hospitalizations due to accidents involved motorcycle drivers (56.9%). The causes of the return to the hospital were: need to continue the surgical treatment (63.2%), surgical site infection (26.3%) and fall related to the physical sequelae of the trauma (10.5%). The rehospitalization rate corresponded to 174/1,000 people/year. the hospital readmission rate in the study population is similar to the rates found in other studies. Victims of severe limb traumas need multiple surgical procedures, lengthier hospitalizations and extended rehabilitation.

Can Vertical Integration Reduce Hospital Readmissions? A Difference-in-Differences Approach.

PubMed

Lopes, Sílvia; Fernandes, Óscar B; Marques, Ana Patrícia; Moita, Bruno; Sarmento, João; Santana, Rui

2017-05-01

Vertical integration is expected to improve communication and coordination between inpatient care and care after discharge. Despite being used across health systems worldwide, evidence about its impact on readmissions is sparse and contradictory. To assess the impact of vertical integration on hospital readmissions. Using difference-in-differences we compared readmissions before and after vertical integration in 6 Portuguese hospitals for years 2004-2013. A control group with 6 similar hospitals not integrated was utilized. Considered outcome was 30-day unplanned readmission. We used logistic regression at the admission level and accounted for patients' risk factors using claims data. Analyses for each hospital and selected conditions were also run. Our results suggest that readmissions decreased overall after vertical integration [odds ratio (OR)=0.900; 95% confidence interval (CI), 0.812-0.997]. Hospital analysis indicated that there was no impact for 2 hospitals (OR=0.960; 95% CI, 0.848-1.087 and OR=0.944; 95% CI, 0.857-1.038), and a positive effect in 4 hospitals (greatest effect: OR=0.811; 95% CI, 0.736-0.894). A positive evolution was observed for a limited number of conditions, with better results for diabetes with complications (OR=0.689; 95% CI, 0.525-0.904), but no impact regarding congestive heart failure (OR=1.067; 95% CI, 0.827-1.377). Merging acute and primary care providers was associated with reduced readmissions, even though improvements were not found for all institutions or condition-specific groups. There are still challenges to be addressed regarding the success of vertical integration in reducing 30-day hospital readmissions.

Readmission rates and long-term hospital costs among survivors of an in-hospital cardiac arrest.

PubMed

Chan, Paul S; Nallamothu, Brahmajee K; Krumholz, Harlan M; Curtis, Lesley H; Li, Yan; Hammill, Bradley G; Spertus, John A

2014-11-01

Although an in-hospital cardiac arrest is common, little is known about readmission patterns and an inpatient resource use among survivors of an in-hospital cardiac arrest. Within a large national registry, we examined long-term inpatient use among 6972 adults aged ≥65 years who survived an in-hospital cardiac arrest. We examined 30-day and 1-year readmission rates and inpatient costs, overall and by patient demographics, hospital disposition (discharge destination), and neurological status at discharge. The mean age was 75.8±7.0 years, 56% were men, and 12% were black. There were a total of 2005 readmissions during the first 30 days (cumulative incidence rate, 35 readmissions/100 patients; 95% confidence interval, 33-37) and 8751 readmissions at 1 year (cumulative incidence rate, 185 readmissions/100 patients; 95% confidence interval, 177-190). Overall, mean inpatient costs were $7741±$2323 at 30 days and $18 629±$9411 at 1 year. Thirty-day inpatient costs were higher in patients of younger age (≥85 years, $6052 [reference]; 75-84 years, $7444 [adjusted cost ratio, 1.23; 1.06-1.42; 65-74 years, $8291 [adjusted cost ratio, 1.37; 1.19-1.59; both P<0.001) and black race (whites, $7413; blacks, $9044; adjusted cost ratio, 1.22; 1.05-1.42; P<0.001), as well as those discharged with severe neurological disability or to skilled nursing or rehabilitation facilities. These differences in resource use persisted at 1 year and were largely because of higher readmission rates. Survivors of an in-hospital cardiac arrest have frequent readmissions and high follow-up inpatient costs. Readmissions and inpatient costs were higher in certain subgroups, including patients of younger age and black race. © 2014 American Heart Association, Inc.

Health literacy and 30-day hospital readmission after acute myocardial infarction

PubMed Central

Bailey, Stacy Cooper; Fang, Gang; Annis, Izabela E; O'Conor, Rachel; Paasche-Orlow, Michael K; Wolf, Michael S

2015-01-01

Objective To assess the validity of a predictive model of health literacy, and to examine the relationship between derived health literacy estimates and 30-day hospital readmissions for acute myocardial infarction (AMI). Design Retrospective cohort study. Setting and participants A National Institute of Aging (NIA) study cohort of 696 adult, English-speaking primary care patients, aged 55–74 years, was used to assess the validity of derived health literacy estimates. Claims from 7733 Medicare beneficiaries hospitalised for AMI in 2008 in North Carolina and Illinois were used to investigate the association between health literacy estimates and 30-day hospital readmissions. Measures The NIA cohort was administered 3 common health literacy assessments (Newest Vital Sign, Test of Functional Health Literacy in Adults, and Rapid Estimate of Adult Literacy in Medicine). Health literacy estimates at the census block group level were derived via a predictive model. 30-day readmissions were measured from Medicare claims data using a validated algorithm. Results Fair agreement was found between derived estimates and in-person literacy assessments (Pearson Correlation coefficients: 0.38–0.51; κ scores: 0.38–0.40). Medicare enrollees with above basic literacy according to derived health literacy estimates had an 18% lower risk of a 30-day readmission (RR=0.82, 95% CI 0.73 to 0.92) and 21% lower incidence rate of 30-day readmission (IRR=0.79, 95% CI 0.68 to 0.87) than patients with basic or below basic literacy. After adjusting for demographic and clinical characteristics, the risk of 30-day readmission was 12% lower (p=0.03), and the incidence rate 16% lower (p<0.01) for patients with above basic literacy. Conclusions Health literacy, as measured by a predictive model, was found to be a significant, independent predictor of 30-day readmissions. As a modifiable risk factor with evidence-based solutions, health literacy should be considered in readmission reduction

Health literacy and 30-day hospital readmission after acute myocardial infarction.

PubMed

Bailey, Stacy Cooper; Fang, Gang; Annis, Izabela E; O'Conor, Rachel; Paasche-Orlow, Michael K; Wolf, Michael S

2015-06-11

To assess the validity of a predictive model of health literacy, and to examine the relationship between derived health literacy estimates and 30-day hospital readmissions for acute myocardial infarction (AMI). Retrospective cohort study. A National Institute of Aging (NIA) study cohort of 696 adult, English-speaking primary care patients, aged 55-74 years, was used to assess the validity of derived health literacy estimates. Claims from 7733 Medicare beneficiaries hospitalised for AMI in 2008 in North Carolina and Illinois were used to investigate the association between health literacy estimates and 30-day hospital readmissions. The NIA cohort was administered 3 common health literacy assessments (Newest Vital Sign, Test of Functional Health Literacy in Adults, and Rapid Estimate of Adult Literacy in Medicine). Health literacy estimates at the census block group level were derived via a predictive model. 30-day readmissions were measured from Medicare claims data using a validated algorithm. Fair agreement was found between derived estimates and in-person literacy assessments (Pearson Correlation coefficients: 0.38-0.51; κ scores: 0.38-0.40). Medicare enrollees with above basic literacy according to derived health literacy estimates had an 18% lower risk of a 30-day readmission (RR=0.82, 95% CI 0.73 to 0.92) and 21% lower incidence rate of 30-day readmission (IRR=0.79, 95% CI 0.68 to 0.87) than patients with basic or below basic literacy. After adjusting for demographic and clinical characteristics, the risk of 30-day readmission was 12% lower (p=0.03), and the incidence rate 16% lower (p<0.01) for patients with above basic literacy. Health literacy, as measured by a predictive model, was found to be a significant, independent predictor of 30-day readmissions. As a modifiable risk factor with evidence-based solutions, health literacy should be considered in readmission reduction efforts. Published by the BMJ Publishing Group Limited. For permission to use (where

Hospital Distance and Readmissions Among VA-Medicare Dual-Enrolled Veterans.

PubMed

Wong, Edwin S; Rinne, Seppo T; Hebert, Paul L; Cook, Meredith A; Liu, Chuan-Fen

2016-09-01

Geographic access to inpatient care at the Veterans Affairs (VA) Health Care System is challenging for many veterans with chronic obstructive pulmonary disease (COPD) given relatively few VA hospitals nationwide. Veterans with lengthy travel distances may obtain non-VA care, particularly those dually enrolled in Medicare. Our primary objective was to assess whether distance from VA patients' residence to the nearest VA and non-VA hospitals was associated with 30-day all-cause readmission and the system where patients were readmitted (VA or Medicare). Using VA and Medicare administrative data, we identified 21,273 patients hospitalized for COPD between October 2008 and September 2011 and dually enrolled in VA and fee-for-service Medicare. Outcome variables were dichotomous measures denoting readmission for any cause within 30 days following discharge and whether the readmission occurred in a non-VA hospital through Medicare. Distance to the nearest hospital was defined as the number of miles between patients' residence ZIP code and the ZIP code of the nearest VA and non-VA hospital accepting Medicare, respectively. Probit models with sample selection were applied to examine the relationship between hospital distance and outcome measures. Respective distances to the nearest VA and non-VA hospital were not associated with 30-day all-cause readmission. Greater distance to the nearest VA hospital was associated with a greater conditional probability of choosing non-VA hospitals for readmission. COPD patients with poor geographic access to VA hospitals did not forgo subsequent inpatient care following their index hospitalization, but they were more likely to seek non-VA substitutes. © 2016 National Rural Health Association.

Asthma exacerbations: risk factors for hospital readmissions.

PubMed

Gonzalez-Barcala, F-J; Calvo-Alvarez, U; Garcia-Sanz, M-T; Garcia-Couceiro, N; Martin-Lancharro, P; Pose, A; Carreira, J-M; Moure-Gonzalez, J-D; Valdes-Cuadrado, L; Muñoz, X

2018-02-01

The aim of our study is to analyse hospital readmissions due to asthma, as well as the factors associated with their increase. We carried out a retrospective study including all admissions of patients over 18 years old due to exacerbation of asthma occurring in our hospital between the years 2000 and 2010. The data were gathered by two members of the research team, by reviewing the clinical records. The first hospital admission of each patient was included for this study. An early readmission (ER) was defined as that which occurred in the following 15 days after hospital discharge and late readmission (LR) to that occurring from 16 days after discharge. This study included 2166 hospital admissions and 1316 patients, with a mean age of 62.6 years. Of the 1316 patients analysed, 36 (2.7%) had one ER and 313 (23.8%) one LR. The only factor independently associated with a higher probability of an ER was poor lung function. A higher probability of LR was associated with a greater severity of the asthma (OR: 17.8, for severe asthma versus intermittent asthma), to have had any hospital admission in the previous year (OR: 3.5) and the use of a combination of ICS-LABA as maintenance treatment. About 25% of the patients in our area admitted to hospital due to asthma exacerbation had repeat episodes of hospitalisation.

Quasi-Experimental Evaluation of the Effectiveness of a Large-Scale Readmission Reduction Program.

PubMed

Jenq, Grace Y; Doyle, Margaret M; Belton, Beverly M; Herrin, Jeph; Horwitz, Leora I

2016-05-01

Feasibility, effectiveness, and sustainability of large-scale readmission reduction efforts are uncertain. The Greater New Haven Coalition for Safe Transitions and Readmission Reductions was funded by the Center for Medicare & Medicaid Services (CMS) to reduce readmissions among all discharged Medicare fee-for-service (FFS) patients. To evaluate whether overall Medicare FFS readmissions were reduced through an intervention applied to high-risk discharge patients. This quasi-experimental evaluation took place at an urban academic medical center. Target discharge patients were older than 64 years with Medicare FFS insurance, residing in nearby zip codes, and discharged alive to home or facility and not against medical advice or to hospice; control discharge patients were older than 54 years with the same zip codes and discharge disposition but without Medicare FFS insurance if older than 64 years. High-risk target discharge patients were selectively enrolled in the program. Personalized transitional care, including education, medication reconciliation, follow-up telephone calls, and linkage to community resources. We measured the 30-day unplanned same-hospital readmission rates in the baseline period (May 1, 2011, through April 30, 2012) and intervention period (October 1, 2012, through May 31, 2014). We enrolled 10 621 (58.3%) of 18 223 target discharge patients (73.9% of discharge patients screened as high risk) and included all target discharge patients in the analysis. The mean (SD) age of the target discharge patients was 79.7 (8.8) years. The adjusted readmission rate decreased from 21.5% to 19.5% in the target population and from 21.1% to 21.0% in the control population, a relative reduction of 9.3%. The number needed to treat to avoid 1 readmission was 50. In a difference-in-differences analysis using a logistic regression model, the odds of readmission in the target population decreased significantly more than that of the control population in the

Organization of Hospital Nursing and 30-Day Readmissions in Medicare Patients Undergoing Surgery.

PubMed

Ma, Chenjuan; McHugh, Matthew D; Aiken, Linda H

2015-01-01

Growing scrutiny of readmissions has placed hospitals at the center of readmission prevention. Little is known, however, about hospital nursing—a critical organizational component of hospital service system—in relation to readmissions. To determine the relationships between hospital nursing factors—nurse work environment, nurse staffing, and nurse education—and 30-day readmissions among Medicare patients undergoing general, orthopedic, and vascular surgery. We linked Medicare patient discharge data, multistate nurse survey data, and American Hospital Association Annual Survey data. Our sample included 220,914 Medicare surgical patients and 25,082 nurses from 528 hospitals in 4 states (California, Florida, New Jersey, and Pennsylvania). Risk-adjusted robust logistic regressions were used for analyses. The average 30-day readmission rate was 10% in our sample (general surgery: 11%; orthopedic surgery: 8%; vascular surgery: 12%). Readmission rates varied widely across surgical procedures and could be as high as 26% (upper limb and toe amputation for circulatory system disorders). Each additional patient per nurse increased the odds of readmission by 3% (OR=1.03; 95% CI, 1.00-1.05). Patients cared in hospitals with better nurse work environments had lower odds of readmission (OR=0.97; 95% CI, 0.95-0.99). Administrative support to nursing practice (OR=0.96; 95% CI, 0.94-0.99) and nurse-physician relations (OR=0.97; 95% CI, 0.95-0.99) were 2 main attributes of the work environment that were associated with readmissions. Better nurse staffing and work environment were significantly associated with 30-day readmission, and can be considered as system-level interventions to reduce readmissions and associated financial penalties.

Impact of pharmacist intervention in conjunction with outpatient physician follow-up visits after hospital discharge on readmission rate.

PubMed

Arnold, Matthew E; Buys, Lucinda; Fullas, Fekadu

2015-06-01

The Medicare Hospital Readmissions Reduction Program (MHRRP) which took effect on October 1st, 2012 holds providers accountable for quality of care delivered, placing a greater focus on care coordination. Innovative strategies in medication management in the acute care and outpatient primary care settings require vigilant pharmacist intervention. The objective of this study is to determine if pharmacist-provided medication reconciliation service in conjunction with hospital follow-up outpatient physician visits reduces hospital readmission rate. This was a prospective study in which physician-initiated outpatient hospital follow-up appointment scheduling was used to identify patients at time of hospital discharge. All patients ≥50 years of age were eligible for outpatient pharmacist visits. Emergency room visits were excluded. Data collected included: patient demographics, characteristics of identified drug therapy problems, accuracy of outpatient medication histories and time required by pharmacist to perform the reviews. Patient adherence to early (24-72 hours) outpatient hospital follow-up visit was also evaluated. Previous year's readmission data for high risk patients who received only physician visits were also collected for comparison with those who were jointly visited by pharmacists and physicians. A total of 98 patients were assigned to receive pharmacist intervention in conjunction with physician hospital follow-up visits. Nine of the 98 patients seen by pharmacists at hospital follow-up visits were readmitted (9.2%) to a hospital within 30 days of discharge. Out of the 236 patients seen during the same period the previous year (2011) for physician alone hospital follow-up visits 46 were readmitted (19.4%) within 30-days of hospital discharge. The difference between these groups was statistically significant (p = 0.023), with patients in the pharmacist intervention group experiencing a reduction in 30-day readmission risk. Physician alone outpatient

Hospital readmissions after spontaneous intracerebral hemorrhage in Southern Portugal.

PubMed

Nzwalo, Hipólito; Nogueira, Jerina; Guilherme, Patrícia; Abreu, Pedro; Félix, Catarina; Ferreira, Fátima; Ramalhete, Sara; Marreiros, Ana; Tatlisumak, Turgut; Thomassen, Lars; Logallo, Nicola

2018-06-01

Spontaneous intracerebral hemorrhage (SICH) survivors are at risk of hospital readmissions. Data on readmissions after SICH is scarce. We aimed to study the frequency and predictors of readmissions after SICH in Algarve, Portugal. Retrospective study of a community representative cohort of SICH survivors (2009-2015). The first unplanned readmission in the first year after discharge was the outcome. Cox regression analysis was performed to identify predictors of 1-year readmission. Of the 357 SICH survivors followed, 116 (32.5%) were readmitted within the first-year. Sixty-seven (18.8%) of the survivors were early readmitted (<90 days), corresponding to 57.8% or all readmissions. Common causes were pneumonia, endocrine/nutritional/metabolic and cardiovascular complications. The risk of readmission was increased by prior to index SICH history of ≥ 3 previous emergency department visits (hazards ratio (HR) = 2.663 (1.770-4.007); P < 0.001), pneumonia during index hospitalization (HR = 2.910 (1.844-4.592); P < 0.001) and reduced in patients discharge home (HR = 0.681 (0.366-0.976); P = 0.048). The rate of readmissions after SICH is high, predictors are identifiable and causes are potentially preventable. Improvement of care can potentially reduce this burden. Copyright © 2018 Elsevier B.V. All rights reserved.

Can Vertical Integration Reduce Hospital Readmissions? A Difference-in-Differences Approach

PubMed Central

Fernandes, Óscar B.; Marques, Ana Patrícia; Moita, Bruno; Sarmento, João; Santana, Rui

2017-01-01

Background: Vertical integration is expected to improve communication and coordination between inpatient care and care after discharge. Despite being used across health systems worldwide, evidence about its impact on readmissions is sparse and contradictory. Objective: To assess the impact of vertical integration on hospital readmissions. Research Design, Subjects, and Measures: Using difference-in-differences we compared readmissions before and after vertical integration in 6 Portuguese hospitals for years 2004–2013. A control group with 6 similar hospitals not integrated was utilized. Considered outcome was 30-day unplanned readmission. We used logistic regression at the admission level and accounted for patients’ risk factors using claims data. Analyses for each hospital and selected conditions were also run. Results: Our results suggest that readmissions decreased overall after vertical integration [odds ratio (OR)=0.900; 95% confidence interval (CI), 0.812–0.997]. Hospital analysis indicated that there was no impact for 2 hospitals (OR=0.960; 95% CI, 0.848–1.087 and OR=0.944; 95% CI, 0.857–1.038), and a positive effect in 4 hospitals (greatest effect: OR=0.811; 95% CI, 0.736–0.894). A positive evolution was observed for a limited number of conditions, with better results for diabetes with complications (OR=0.689; 95% CI, 0.525–0.904), but no impact regarding congestive heart failure (OR=1.067; 95% CI, 0.827–1.377). Conclusions: Merging acute and primary care providers was associated with reduced readmissions, even though improvements were not found for all institutions or condition-specific groups. There are still challenges to be addressed regarding the success of vertical integration in reducing 30-day hospital readmissions. PMID:28403012

Frequency and risk factors associated with emergency medical readmissions in Galway University Hospitals.

PubMed

Gorman, J; Vellinga, A; Gilmartin, J J; O'Keeffe, S T

2010-06-01

Unplanned readmissions of medical hospital patients have been increasing in recent years. We examined the frequency and associates of emergency medical readmissions to Galway University Hospitals (GUH). Readmissions during the calendar year 2006 were examined using hospital in-patient enquiry data. Associations with clinical and demographic factors were determined using univariate and multivariate analyses. The medical emergency readmission rate to GUH, after correction for death during the index admission, was 19.5%. Age 65 years or more, male gender, length of stay more than 7 days and primary diagnoses of chronic obstructive pulmonary disease, myocardial infarction, alcohol-related disease and heart failure during the index admission were significantly associated with readmission in univariate and multivariate analyses. The medical emergency readmission rate in GUH is comparable to other acute hospitals in Ireland and Britain. Further evaluation is needed to estimate the proportion of readmissions that are potentially avoidable.

Factors Contributing to Readmission of Seniors into Acute Care Hospitals

ERIC Educational Resources Information Center

DeCoster, Vaughn; Ehlman, Katie; Conners, Carolyn

2013-01-01

Medicare spending is expected to increase by 79% between the years 2010 and 2020, caused, in-part, by hospital readmissions within 30 days of discharge. This study identified factors contributing to hospital readmissions in a midwest heath service area (HSA), using Coleman's Transition Care Model as the theoretical framework. The researchers…

Association of Electroconvulsive Therapy With Psychiatric Readmissions in US Hospitals.

PubMed

Slade, Eric P; Jahn, Danielle R; Regenold, William T; Case, Brady G

2017-08-01

Although electroconvulsive therapy (ECT) is considered the most efficacious treatment available for individuals with severe affective disorders, ECT's availability is limited and declining, suggesting that information about the population-level effects of ECT is needed. To examine whether inpatient treatment with ECT is associated with a reduction in 30-day psychiatric readmission risk in a large, multistate sample of inpatients with severe affective disorders. A quasi-experimental instrumental variables probit model of the association correlation of ECT administration with patient risk of 30-day readmission was estimated using observational, longitudinal data on hospital inpatient discharges from US general hospitals in 9 states. From a population-based sample of 490 252 psychiatric inpatients, a sample was drawn that consisted of 162 691 individuals with a principal diagnosis of major depressive disorder (MDD), bipolar disorder, or schizoaffective disorder. The key instrumental variable used in the analysis was ECT prevalence in the prior calendar year at the treating hospital. To examine whether ECT's association with readmissions was heterogeneous across population subgroups, analyses included interactions of ECT with age group, sex, race/ethnicity, and diagnosis group. The study was conducted from August 27, 2015, to March 7, 2017. Readmission within 30 days of being discharged. Overall, 2486 of the 162 691 inpatients (1.5%) underwent ECT during their index admission. Compared with other inpatients, those who received ECT were older (mean [SD], 56.8 [16.5] vs 45.9 [16.5] years; P < .001) and more likely to be female (65.0% vs 54.2%; P < .001) and white non-Hispanic (85.3% vs 62.1%; P < .001), have MDD diagnoses (63.8% vs 32.0%; P < .001) rather than bipolar disorder (29.0% vs 40.0%; P < .001) or schizoaffective disorder (7.1% vs 28.0%; P < .001), have a comorbid medical condition (31.3% vs 26.6%; P < .001), have private (39

Readmissions due to traffic accidents at a general hospital 1

PubMed Central

Paiva, Luciana; Monteiro, Damiana Aparecida Trindade; Pompeo, Daniele Alcalá; Ciol, Márcia Aparecida; Dantas, Rosana Aparecida Spadotti; Rossi, Lídia Aparecida

2015-01-01

Abstract Objective: to verify the occurrence and the causes of hospital readmissions within a year after discharge from hospitalizations due to traffic accidents. Methods: victims of multiple traumas due to traffic accidents were included, who were admitted to an Intensive Care Unit. Sociodemographic data, accident circumstances, body regions affected and cause of readmission were collected from the patient histories. Results: among the 109 victims of traffic accidents, the majority were young and adult men. Most hospitalizations due to accidents involved motorcycle drivers (56.9%). The causes of the return to the hospital were: need to continue the surgical treatment (63.2%), surgical site infection (26.3%) and fall related to the physical sequelae of the trauma (10.5%). The rehospitalization rate corresponded to 174/1,000 people/year. Conclusion: the hospital readmission rate in the study population is similar to the rates found in other studies. Victims of severe limb traumas need multiple surgical procedures, lengthier hospitalizations and extended rehabilitation. PMID:26444172

Predictors of 30-Day Hospital Readmission among Maintenance Hemodialysis Patients: A Hospital’s Perspective

PubMed Central

Katsanos, Suzanne L.; Hu, Yichun; Kshirsagar, Abhijit V.; Falk, Ronald J.; Moore, Carlton R.

2016-01-01

Background and objectives Over 35% of patients on maintenance dialysis are readmitted to the hospital within 30 days of hospital discharge. Outpatient dialysis facilities often assume responsibility for readmission prevention. Hospital care and discharge practices may increase readmission risk. We undertook this study to elucidate risk factors identifiable from hospital-derived data for 30-day readmission among patients on hemodialysis. Design, setting, participants, & measurements Data were taken from patients on maintenance hemodialysis discharged from University of North Carolina Hospitals between May of 2008 and June of 2013 who received in-patient hemodialysis during their index hospitalizations. Multivariable logistic regression models with 30-day readmission as the dependent outcome were used to identify readmission risk factors. Models considered variables available at hospital admission and discharge separately. Results Among 349 patients, 112 (32.1%) had a 30-day hospital readmission. The discharge (versus admission) model was more predictive of 30-day readmission. In the discharge model, malignancy comorbid condition (odds ratio [OR], 2.08; 95% confidence interval [95% CI], 1.04 to 3.11), three or more hospitalizations in the prior year (OR, 1.97; 95% CI, 1.06 to 3.64), ≥10 outpatient medications at hospital admission (OR, 1.69; 95% CI, 1.00 to 2.88), catheter vascular access (OR, 1.82; 95% CI, 1.01 to 3.65), outpatient dialysis at a nonuniversity–affiliated dialysis facility (OR, 3.59; 95% CI, 2.03 to 6.36), intradialytic hypotension (OR, 3.10; 95% CI, 1.45 to 6.61), weekend discharge day (OR, 1.82; 95% CI, 1.01 to 3.31), and serum albumin <3.3 g/dl (OR, 4.28; 95% CI, 2.37 to 7.73) were associated with higher readmission odds. A decrease in prescribed medications from admission to discharge (OR, 0.20; 95% CI, 0.08 to 0.51) was associated with lower readmission odds. Findings were robust across different model–building approaches. Conclusions

Reducing hospital readmission rates: current strategies and future directions.

PubMed

Kripalani, Sunil; Theobald, Cecelia N; Anctil, Beth; Vasilevskis, Eduard E

2014-01-01

New financial penalties for institutions with high readmission rates have intensified efforts to reduce rehospitalization. Several interventions that involve multiple components (e.g., patient needs assessment, medication reconciliation, patient education, arranging timely outpatient appointments, and providing telephone follow-up) have successfully reduced readmission rates for patients discharged to home. The effect of interventions on readmission rates is related to the number of components implemented; single-component interventions are unlikely to reduce readmissions significantly. For patients discharged to postacute care facilities, multicomponent interventions have reduced readmissions through enhanced communication, medication safety, advanced care planning, and enhanced training to manage medical conditions that commonly precipitate readmission. To help hospitals direct resources and services to patients with greater likelihood of readmission, risk-stratification methods are available. Future work should better define the roles of home-based services, information technology, mental health care, caregiver support, community partnerships, and new transitional care personnel.

Risk factors for hospital readmission of elderly patients.

PubMed

Franchi, Carlotta; Nobili, Alessandro; Mari, Daniela; Tettamanti, Mauro; Djade, Codjo D; Pasina, Luca; Salerno, Francesco; Corrao, Salvatore; Marengoni, Alessandra; Iorio, Alfonso; Marcucci, Maura; Mannucci, Pier Mannuccio

2013-01-01

The aim of this study was to identify which factors were associated with a risk of hospital readmission within 3 months after discharge of a sample of elderly patients admitted to internal medicine and geriatric wards. Of the 1178 patients aged 65 years or more and discharged from one of the 66 wards of the 'Registry Politerapie SIMI (REPOSI)' during 2010, 766 were followed up by phone interview 3 months after discharge and were included in this analysis. Univariate and multivariate logistic regression models were used to evaluate the association of several variables with rehospitalization within 3 months from discharge. Nineteen percent of patients were readmitted at least once within 3 months after discharge. By univariate analysis in-hospital clinical adverse events (AEs), a previous hospital admission, number of diagnoses and drugs, comorbidity and severity index (according to Cumulative Illness Rating Scale-CIRS), vascular and liver diseases with a level of impairment at discharge of 3 or more at CIRS were significantly associated with risk of readmission. Multivariate logistic regression analysis showed that only AEs during hospitalization, previous hospital admission, and vascular and liver diseases were significantly associated with the likelihood of readmission. The results demonstrate the need for increased medical attention towards elderly patients discharged from hospital with characteristics such as AEs during the hospitalization, previous admission, vascular and liver diseases. Copyright © 2012 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Predicting hospital mortality among frequently readmitted patients: HSMR biased by readmission

PubMed Central

2011-01-01

Background Casemix adjusted in-hospital mortality is one of the measures used to improve quality of care. The adjustment currently used does not take into account the effects of readmission, because reliable data on readmission is not readily available through routinely collected databases. We have studied the impact of readmissions by linking admissions of the same patient, and as a result were able to compare hospital mortality among frequently, as opposed to, non-frequently readmitted patients. We also formulated a method to adjust for readmission for the calculation of hospital standardised mortality ratios (HSMRs). Methods We conducted a longitudinal retrospective analysis of routinely collected hospital data of six large non-university teaching hospitals in the Netherlands with casemix adjusted standardised mortality ratios ranging from 65 to 114 and a combined value of 93 over a five-year period. Participants concerned 240662 patients admitted 418566 times in total during the years 2003 - 2007. Predicted deaths by the HSMR model 2008 over a five-year period were compared with observed deaths. Results Numbers of readmissions per patient differ substantially between the six hospitals, up to a factor of 2. A large interaction was found between numbers of admissions per patient and HSMR-predicted risks. Observed deaths for frequently admitted patients were significantly lower than HSMR-predicted deaths, which could be explained by uncorrected factors surrounding readmissions. Conclusions Patients admitted more frequently show lower risks of dying on average per admission. This decline in risk is only partly detected by the current HSMR. Comparing frequently admitted patients to non-frequently admitted patients commits the constant risk fallacy and potentially lowers HSMRs of hospitals treating many frequently admitted patients and increases HSMRs of hospitals treating many non-frequently admitted patients. This misleading effect can only be demonstrated by an

Role of Physical Therapists in Reducing Hospital Readmissions: Optimizing Outcomes for Older Adults During Care Transitions From Hospital to Community

PubMed Central

Burke, Robert E.; Malone, Daniel; Ridgeway, Kyle J.; McManus, Beth M.; Stevens-Lapsley, Jennifer E.

2016-01-01

Hospital readmissions in older adult populations are an emerging quality indicator for acute care hospitals. Recent evidence has linked functional decline during and after hospitalization with an elevated risk of hospital readmission. However, models of care that have been developed to reduce hospital readmission rates do not adequately address functional deficits. Physical therapists, as experts in optimizing physical function, have a strong opportunity to contribute meaningfully to care transition models and demonstrate the value of physical therapy interventions in reducing readmissions. Thus, the purposes of this perspective article are: (1) to describe the need for physical therapist input during care transitions for older adults and (2) to outline strategies for expanding physical therapy participation in care transitions for older adults, with an overall goal of reducing avoidable 30-day hospital readmissions. PMID:26939601

Analysis of Hospital Readmission Patterns in Medicare Fee-for-Service and Medicare Advantage Beneficiaries.

PubMed

Oh, Joobong June Park

The study was conducted to examine the hospital readmission patterns of two groups of Medicare beneficiaries-those covered by traditional Medicare (Medicare fee-for-service [FFS]) and those enrolled in a Medicare risk plan (Medicare Advantage [MA])-and to determine the characteristics that significantly increase the likelihood of multiple hospital readmissions. The study setting is the Hospital of the University of Pennsylvania (HUP) located in Philadelphia, PA. A retrospective descriptive study design was used to analyze the electronic data from the HUP information technology system for Medicare beneficiaries, 65 years and older, who had an index hospital admission at the HUP during 2012 (January 1, 2012, through December 31, 2012), and were subsequently readmitted one or more times to the HUP during the observation period. FFS and MA beneficiaries were hospitalized an average of 1.5 (±1.0) times; 69% were rehospitalized once and 30% were rehospitalized two or more times. Characteristics that increased the likelihood of multiple hospital readmissions included being discharged on a weekend, admitted through the emergency department with a diagnosis of injury and poisoning, being diagnosed with a new problem of the circulatory system, having an exacerbation of a circulatory system illness, and having an infection related to a previous admission. Characteristics that decreased the likelihood of multiple hospital readmissions included being discharged to a skilled nursing facility and being discharged home with home health services. Identification of the risk factors and characteristics that increase the likelihood of multiple hospital readmissions will permit early interventions in discharge planning, as evidenced by decreasing the rate of hospital readmissions and the length of hospital stays, increasing in time to hospital readmission, and preventing the first readmission and a subsequent return to the hospital.

The costs of acute readmissions to a different hospital - Does the effect vary across provider types?

PubMed

Møller Dahl, Christian; Planck Kongstad, Line

2017-06-01

Treatment costs are found to vary substantially and systematically within DRGs. Several factors have been shown to contribute to the variation in costs within DRGs. We argue that readmissions might also explain part of the observed variation in costs. A substantial number of all readmissions occur to a different hospital. The change in hospital indicates that a progression of the illness has occurred since the initial hospitalisation. As a result, different-hospital readmissions might be more costly compared to same-hospital admissions. The aim of this paper is twofold. Firstly, to analyse differences in costs between different-hospital readmissions and same-hospital readmissions within the same DRG. Secondly, to investigate whether the effect of different-hospital readmission on costs vary depending of provider type (general versus teaching hospital). We use a rich Danish patient-level administrative data set covering inpatient stays in the period 2008-2010. We exploit the fact that some patients are readmitted within the same DRG and that some of these readmissions occur at different hospitals in a propensity score difference-in-difference design. The estimates are based on a restricted sample of n = 328 patients. Our results show that the costs of different-hospital readmissions are significantly higher relative to the costs of same-hospital readmission (approx. €777). Furthermore, the cost difference is found to be almost twice the size for patients readmitted to a teaching hospital (approx. €1016) (P < 0.10) compared to patients readmitted to a different general hospital (approx. €511) (P < 0.10). The results suggest that hospitals in general face a potential risk by treating different-hospital readmissions, and that the financial consequences are highest among teaching hospitals. If teaching hospitals are not compensated for the additional costs of treating different-hospital readmission patients, they might be unfairly funded under a DRG

Hospital Readmissions in a Community-based Sample of Homeless Adults: a Matched-cohort Study.

PubMed

Saab, Dima; Nisenbaum, Rosane; Dhalla, Irfan; Hwang, Stephen W

2016-09-01

Hospital readmission rates are a widely used quality indicator that may be elevated in disadvantaged populations. The objective of this study was to compare the hospital readmission rate among individuals experiencing homelessness with that of a low-income matched control group, and to identify risk factors associated with readmission within the group experiencing homelessness. We conducted a 1:1 matched cohort study comparing 30-day hospital readmission rates between homeless patients and low-income controls matched on age, sex and primary reason for admission. Multivariate analyses using generalized estimating equations were used to assess risk factors associated with 30-day readmission in the homeless cohort. This study examined a cohort of 1,165 homeless adults recruited at homeless shelters and meal programs in Toronto, Ontario, between 6 December 2004 and 20 December 2005. The primary outcome was the occurrence of an unplanned medical or surgical readmission within 30 days of discharge from hospital. Between 6 December 2004 and 31 March 2009, homeless participants (N = 203) had 478 hospitalizations and a 30-day readmission rate of 22.2 %, compared to 300 hospitalizations and a readmission rate of 7.0 % among matched controls (OR = 3.79, 95 % CI 1.93-7.39). In the homeless cohort, having a primary care physician (OR = 2.65, 95 % CI 1.05-6.73) and leaving against medical advice (OR = 1.96, 95 % CI 0.99-3.86) were associated with an increased risk of 30-day readmission. Homeless patients had nearly four times the odds of being readmitted within 30-days as compared to low-income controls matched on age, sex and primary reason for admission to hospital. Further research is needed to evaluate interventions to reduce readmissions among this patient population.

Role of Physical Therapists in Reducing Hospital Readmissions: Optimizing Outcomes for Older Adults During Care Transitions From Hospital to Community.

PubMed

Falvey, Jason R; Burke, Robert E; Malone, Daniel; Ridgeway, Kyle J; McManus, Beth M; Stevens-Lapsley, Jennifer E

2016-08-01

Hospital readmissions in older adult populations are an emerging quality indicator for acute care hospitals. Recent evidence has linked functional decline during and after hospitalization with an elevated risk of hospital readmission. However, models of care that have been developed to reduce hospital readmission rates do not adequately address functional deficits. Physical therapists, as experts in optimizing physical function, have a strong opportunity to contribute meaningfully to care transition models and demonstrate the value of physical therapy interventions in reducing readmissions. Thus, the purposes of this perspective article are: (1) to describe the need for physical therapist input during care transitions for older adults and (2) to outline strategies for expanding physical therapy participation in care transitions for older adults, with an overall goal of reducing avoidable 30-day hospital readmissions. © 2016 American Physical Therapy Association.

Determining 30-day readmission risk for heart failure patients: the Readmission After Heart Failure scale

PubMed Central

Chamberlain, Ronald S; Sond, Jaswinder; Mahendraraj, Krishnaraj; Lau, Christine SM; Siracuse, Brianna L

2018-01-01

Background Chronic heart failure (CHF), which affects >5 million Americans, accounts for >1 million hospitalizations annually. As a part of the Hospital Readmission Reduction Program, the Affordable Care Act requires that the Centers for Medicare and Medicaid Services reduce payments to hospitals with excess readmissions. This study sought to develop a scale that reliably predicts readmission rates among patients with CHF. Methods The State Inpatient Database (2006–2011) was utilized, and discharge data including demographic and clinical characteristics on 642,448 patients with CHF from California and New York (derivation cohort) and 365,359 patients with CHF from Florida and Washington (validation cohort) were extracted. The Readmission After Heart Failure (RAHF) scale was developed to predict readmission risk. Results The 30-day readmission rates were 9.42 and 9.17% (derivation and validation cohorts, respectively). Age <65 years, male gender, first income quartile, African American race, race other than African American or Caucasian, Medicare, Medicaid, self-pay/no insurance, drug abuse, renal failure, chronic pulmonary disorder, diabetes, depression, and fluid and electrolyte disorder were associated with higher readmission risk after hospitalization for CHF. The RAHF scale was created and explained the 95% of readmission variability within the validation cohort. The RAHF scale was then used to define the following three levels of risk for readmission: low (RAHF score <12; 7.58% readmission rate), moderate (RAHF score 12–15; 9.78% readmission rate), and high (RAHF score >15; 12.04% readmission rate). The relative risk of readmission was 1.67 for the high-risk group compared with the low-risk group. Conclusion The RAHF scale reliably predicts a patient’s 30-day CHF readmission risk based on demographic and clinical factors present upon initial admission. By risk-stratifying patients, using models such as the RAHF scale, strategies tailored to each patient

Aiming to Improve Readmissions Through InteGrated Hospital Transitions (AIRTIGHT): study protocol for a randomized controlled trial.

PubMed

McWilliams, Andrew; Roberge, Jason; Moore, Charity G; Ashby, Avery; Rossman, Whitney; Murphy, Stephanie; McCall, Stephannie; Brown, Ryan; Carpenter, Shannon; Rissmiller, Scott; Furney, Scott

2016-12-19

Hospital readmissions remain highly prevalent despite being the target of policies and financial penalties. Evidence comparing the effectiveness and costs of interventions to reduce readmissions is lacking, leaving healthcare systems with little guidance on how to improve quality and avoid costly penalties. Effective interventions likely need to bridge inpatient and outpatient settings, incorporate information technology, and use dedicated providers. Such complex innovations will require rigorous evaluation. The framework of quality improvement research provides an approach that both improves care locally and contributes to closing the current knowledge gaps for readmissions. In this trial, we will study a comprehensive intervention that incorporates these recommendations into an integrated practice unit, called transition services, with an aim of reducing 30-day readmission rates. We describe a nonblinded, pragmatic, controlled trial with two parallel groups comprising an evaluation of the effect of referral to a provider-led integrated practice unit, inclusive of comprehensive multidisciplinary care, dedicated paramedicine providers, and virtual visits, on 30-day readmission rates for high-risk hospitalized patients. An automated risk-scoring system will randomly generate referrals to either transition services or usual care for 1520 hospitalized patients who score as high-risk for readmission. Transition services will then engage with patients in the hospital setting using a patient navigator and provide bridging outpatient services for the 30 days following discharge. All outcome data are retrieved electronically from administrative medical records. After reapplication of inclusion and exclusion criteria at the time of hospital discharge, analyses will follow the intention-to-treat principle such that patients will be analyzed on the basis of the referral group to which they were initially randomized. The hospital transition program under study is complex and

Association of Hospital Spending Intensity With Mortality and Readmission Rates in Ontario Hospitals

PubMed Central

Stukel, Therese A.; Fisher, Elliott S.; Alter, David A.; Guttmann, Astrid; Ko, Dennis T.; Fung, Kinwah; Wodchis, Walter P.; Baxter, Nancy N.; Earle, Craig C.; Lee, Douglas S.

2012-01-01

Context The extent to which better spending produces higher-quality care and better patient outcomes in a universal health care system with selective access to medical technology is unknown. Objective To assess whether acute care patients admitted to higher-spending hospitals have lower mortality and readmissions. Design, Setting, and Patients The study population comprised adults (> 18 years) in Ontario, Canada, with a first admission for acute myocardial infarction (AMI) (n=179 139), congestive heart failure (CHF) (n=92 377), hip fracture (n=90 046), or colon cancer (n=26 195) during 1998–2008, with follow-up to 1 year. The exposure measure was the index hospital’s end-of-life expenditure index for hospital, physician, and emergency department services. Main Outcome Measures The primary outcomes were 30-day and 1-year mortality and readmissions and major cardiac events (readmissions for AMI, angina, CHF, or death) for AMI and CHF. Results Patients’ baseline health status was similar across hospital expenditure groups. Patients admitted to hospitals in the highest- vs lowest-spending intensity terciles had lower rates of all adverse outcomes. In the highest- vs lowest-spending hospitals, respectively, the age- and sex-adjusted 30-day mortality rate was 12.7% vs 12.8% for AMI, 10.2% vs 12.4% for CHF, 7.7% vs 9.7% for hip fracture, and 3.3% vs 3.9% for CHF; fully adjusted relative 30-day mortality rates were 0.93 (95% CI, 0.89–0.98) for AMI, 0.81 (95% CI, 0.76–0.86) for CHF, 0.74 (95% CI, 0.68–0.80) for hip fracture, and 0.78 (95% CI, 0.66–0.91) for colon cancer. Results for 1-year mortality, readmissions, and major cardiac events were similar. Higher-spending hospitals had higher nursing staff ratios, and their patients received more inpatient medical specialist visits, interventional (AMI cohort) and medical (AMI and CHF cohorts) cardiac therapies, preoperative specialty care (colon cancer cohort), and postdischarge collaborative care with a

Racial/Ethnic Disparities in Readmissions in US Hospitals: The Role of Insurance Coverage

PubMed Central

Hanchate, Amresh; Bierman, Arlene

2018-01-01

We examine differences in rates of 30-day readmissions across patients by race/ethnicity and the extent to which these differences were moderated by insurance coverage. We use hospital discharge data of patients in the 18 years and above age group for 5 US states, California, Florida, Missouri, New York, and Tennessee for 2009, the latest year prior to the start of Centers for Medicare & Medicaid Services’ Hospital Compare program of public reporting of hospital performance on 30-day readmissions. We use logistic regression models by state to estimate the association between insurance status, race, and the likelihood of a readmission within 30 days of an index hospital admission for any cause. Overall in 5 states, non-Hispanic blacks had a slightly higher risk of 30-day readmissions relative to non-Hispanic whites, although this pattern varied by state and insurance coverage. We found higher readmission risk for non-Hispanic blacks, compared with non-Hispanic whites, among those covered by Medicare and private insurance, but lower risk among uninsured and similar risk among Medicaid. Hispanics had lower risk of readmissions relative to non-Hispanic whites, and this pattern was common across subgroups with private, Medicaid, and no insurance coverage. Uninsurance was associated with lower risk of readmissions among minorities but higher risk of readmissions among non-Hispanic whites relative to private insurance. The study found that risk of readmissions by racial ethnic groups varies by insurance status, with lower readmission rates among minorities who were uninsured compared with those with private insurance or Medicare, suggesting that lower readmission rates may not always be construed as a good outcome, because it could result from a lack of insurance coverage and poor access to care, particularly among the minorities. PMID:29730971

Unplanned readmission after hospital discharge in burn patients in Iran.

PubMed

Jafaryparvar, Zakiyeh; Adib, Masoomeh; Ghanbari, Atefeh; Leyli, Ehsan Kazemnezhad

2018-02-21

Burns are considered as one of the most serious health problems throughout the world. They may lead to adverse consequences and outcomes. One of these outcomes is unplanned readmission. Unplanned readmission has been commonly used as a quality indicator by hospitals and governments. This study aimed to determine the predictors of unplanned readmission in patients with burns hospitalized in a burn center in the North of Iran (Guilan province, Rasht). This retrospective analytic study has been done on the medical records of hospitalized patients with burns in Velayat Sub-Specialty Burn and Plastic Surgery Center, Rasht, Iran during 2008-2013. In general, 703 medical records have been reviewed but statistical analysis was performed on 626 medical records. All data were entered in SPSS (version 16) and analyzed by descriptive and inferential statistics. Among 626 patients with burns, the overall readmission rate was 5.1%. Predictors of readmission included total body surface area (OR 1.030, CI 1.011-1.049), hypertension (OR 2.923, CI 1.089-7.845) and skin graft (OR 7.045, CI 2.718-18.258). Considering the outcome, predictors following burn have a crucial role in the allocation of treatment cost for patients with burns and they can be used as one of the quality indicators for health care providers and governments.

Increased Hospital Surgical Volume Reduces Rate of 30- and 90-Day Readmission After Acoustic Neuroma Surgery.

PubMed

Babadjouni, Robin; Wen, Timothy; Donoho, Daniel A; Buchanan, Ian A; Cen, Steven Y; Friedman, Rick A; Amar, Arun; Russin, Jonathan J; Giannotta, Steven L; Mack, William J; Attenello, Frank J

2018-06-08

Hospital readmissions are commonly linked to elevated health care costs, with significant financial incentive introduced by the Affordable Care Act to reduce readmissions. To study the association between patient, hospital, and payer factors with national rate of readmission in acoustic neuroma surgery. All adult inpatients undergoing surgery for acoustic neuroma in the newly introduced Nationwide Readmissions Database from 2013 to 2014 were included. We identified readmissions for any cause with a primary diagnosis of neurological, surgical, or systemic complication within 30- and 90-d after undergoing acoustic neuroma surgery. Multivariable models were employed to identify patient, hospital, and administrative factors associated with readmission. Hospital volume was measured as the number of cases per year. We included patients representing a weighted estimate of 4890 admissions for acoustic neuroma surgery in 2013 and 2014, with 355 30-d (7.7%) and 341 90-d (9.1%) readmissions. After controlling for patient, hospital, and payer factors, procedural volume was significantly associated with 30-d readmission rate (OR [odds ratio] 0.992, p = 0.03), and 90-d readmission rate (OR 0.994, p = 0.047). The most common diagnoses during readmission in both 30- and 90-d cohorts included general central nervous system complications/deficits, hydrocephalus, infection, and leakage of cerebrospinal fluid (rhinorrhea/otorrhea). After controlling for patient, hospital, and payer factors, increased procedural volume is associated with decreased 30- and 90-d readmission rate for acoustic neuroma surgery. Future studies seeking to improve outcomes and reduce cost in acoustic neuroma surgery may seek to further evaluate the role of hospital procedural volume and experience.

The impact of Kaua'i Care Transition Intervention on hospital readmission rates.

PubMed

Li, Fengfang; Guo, Jing; Suga-Nakagawa, Audrey; Takahashi, Ludvina K; Renaud, June

2015-10-01

To evaluate the effects of Kaua'i Care Transition Intervention (KCTI), a patient-centered intervention program, on reducing hospital readmission rates among patients 60 years or older. A prospective quasi-experimental prepost design. Hospital admissions data for the year 2010 (January 1 to December 31) served as the baseline data and were used to identify patients at risk of hospital readmission. KCTI was implemented over a 12-month period from April 1, 2012, to March 31, 2013, and 30-day, 60-day, and 1-year readmission rates were assessed for both the intervention and baseline periods. The impact of the intervention was examined by a logistic regression model, controlling for possible patient population differences. During the intervention period, a total of 269 patients 60 years or older were admitted to the hospital, of which, 58 were referred to the KCTI program. Logistic regression controlling for patients' primary health insurance, discharge sites, and certain admitting diagnoses (eg, arrhythmias, cellulitis, chronic obstructive pulmonary disease) found that the intervention reduced the 30-day readmission rate by two-thirds (odds ratio [OR], 0.34; P = .003). Readmission rates within 60 days (OR, 0.42; P < .01) and within a year (OR, 0.48; P < .001) during the intervention period were less than half of the baseline rates. By selecting patients with identified risk factors, then empowering and educating them with the intervention program, this study was successful in reducing hospital readmission rates. This study also demonstrated the value of carefully selecting patients for intervention programs.

Predictors of hospital re-admissions among Hispanics with hepatitis C-related cirrhosis.

PubMed

Atla, Pradeep R; Sheikh, Muhammad Y; Gill, Firdose; Kundu, Rabindra; Choudhury, Jayanta

2016-01-01

Hospital re-admissions in decompensated cirrhosis are associated with worse patient outcomes. Hispanics have a disproportionately high prevalence of hepatitis C virus (HCV)-related morbidity and mortality. The goal of this study was to evaluate the factors affecting re-admission rates among Hispanics with HCV-related cirrhosis. A total of 292 consecutive HCV-related cirrhosis admissions (Hispanics 189, non-Hispanics 103) from January 2009 to December 2012 were retrospectively reviewed; 132 were cirrhosis-related re-admissions. The statistical analysis was performed using STATA version 11.1. Chi-square/Fisher's exact and Student's t-tests were used to compare categorical and continuous variables, respectively. Multivariate logistic regression analysis was performed to identify predictors for hospital readmissions. Among the 132 cirrhosis-related readmissions, 71% were Hispanics while 29% were non-Hispanics (P=0.035). Hepatic encephalopathy (HE) and esophageal variceal hemorrhage were the most frequent causes of the first and subsequent readmissions. Hispanics with readmissions had a higher Child-Turcotte-Pugh (CTP) class (B and C) and higher model for end-stage liver disease (MELD) scores (≥15), as well as a higher incidence of alcohol use, HE, spontaneous bacterial peritonitis, hepatocellular carcinoma, and varices (P<0.05). The majority of the study patients (81%) had MELD scores <15. Multivariate regression analysis identified alcohol use (OR 2.63; 95%CI 1.1-6.4), HE (OR 5.5; 95%CI 2-15.3), varices (OR 3.2; 95%CI 1.3-8.2), and CTP class (OR 3.3; 95%CI 1.4-8.1) as predictors for readmissions among Hispanics. CTP classes B and C, among other factors, were the major predictors for hospital readmissions in Hispanics with HCV-related cirrhosis. The majority of these readmissions were due to HE and variceal hemorrhage.

Predictors of hospital re-admissions among Hispanics with hepatitis C-related cirrhosis

PubMed Central

Atla, Pradeep R.; Sheikh, Muhammad Y.; Gill, Firdose; Kundu, Rabindra; Choudhury, Jayanta

2016-01-01

Background Hospital re-admissions in decompensated cirrhosis are associated with worse patient outcomes. Hispanics have a disproportionately high prevalence of hepatitis C virus (HCV)-related morbidity and mortality. The goal of this study was to evaluate the factors affecting re-admission rates among Hispanics with HCV-related cirrhosis. Methods A total of 292 consecutive HCV-related cirrhosis admissions (Hispanics 189, non-Hispanics 103) from January 2009 to December 2012 were retrospectively reviewed; 132 were cirrhosis-related re-admissions. The statistical analysis was performed using STATA version 11.1. Chi-square/Fisher’s exact and Student’s t-tests were used to compare categorical and continuous variables, respectively. Multivariate logistic regression analysis was performed to identify predictors for hospital readmissions. Results Among the 132 cirrhosis-related readmissions, 71% were Hispanics while 29% were non-Hispanics (P=0.035). Hepatic encephalopathy (HE) and esophageal variceal hemorrhage were the most frequent causes of the first and subsequent readmissions. Hispanics with readmissions had a higher Child-Turcotte-Pugh (CTP) class (B and C) and higher model for end-stage liver disease (MELD) scores (≥15), as well as a higher incidence of alcohol use, HE, spontaneous bacterial peritonitis, hepatocellular carcinoma, and varices (P<0.05). The majority of the study patients (81%) had MELD scores <15. Multivariate regression analysis identified alcohol use (OR 2.63; 95%CI 1.1-6.4), HE (OR 5.5; 95%CI 2-15.3), varices (OR 3.2; 95%CI 1.3-8.2), and CTP class (OR 3.3; 95%CI 1.4–8.1) as predictors for readmissions among Hispanics. Conclusion CTP classes B and C, among other factors, were the major predictors for hospital readmissions in Hispanics with HCV-related cirrhosis. The majority of these readmissions were due to HE and variceal hemorrhage. PMID:27708520

The 2nd National COPD Readmissions Summit and Beyond: From Theory to Implementation.

PubMed

Willard, Kristen S; Sullivan, Jamie B; Thomashow, Byron M; Jones, Catherine S; Fromer, Leonard; Yawn, Barbara P; Amin, Alpesh; Rommes, Jean M; Rotert, Rhonda

2016-10-06

Chronic obstructive pulmonary disease (COPD) hospitalizations and readmissions adversely impact the health and quality of life of COPD patients. Under the Hospital Readmissions Reduction Program, the Centers for Medicare & Medicaid Services reduce payments to those hospitals exceeding expected rates of COPD readmissions within 30 days of hospital discharge. It was within this climate that the COPD Foundation held its 2 nd COPD Readmissions Summit in March 2015. Experts in attendance: (1) categorized challenges to optimal COPD care, ( 2) analyzed the state of care delivery and readmissions reduction strategies and (3) identified the best available evidence-based approaches to improving care delivery across the continuum, including early diagnosis via spirometry, ongoing device, oxygen and medication reconciliation, treatment that addresses comorbidities and preventive care, robust patient education, prompt post-acute follow up, home health services and pulmonary rehabilitation. Results of this collaborative event formed the basis for PRAXIS, the COPD Foundation's initiative to improve COPD care across the health continuum and to reduce readmissions.

Association of US Centers for Medicare and Medicaid Services Hospital 30-Day Risk-Standardized Readmission Metric With Care Quality and Outcomes After Acute Myocardial Infarction

PubMed Central

Pandey, Ambarish; Golwala, Harsh; Hall, Hurst M.; Wang, Tracy Y.; Lu, Di; Xian, Ying; Chiswell, Karen; Joynt, Karen E.; Goyal, Abhinav; Das, Sandeep R.; Kumbhani, Dharam; Julien, Howard; Fonarow, Gregg C.

2017-01-01

Importance The US Centers for Medicare and Medicaid Services Hospital Readmissions Reduction Program penalizes hospitals with higher-than-expected risk-adjusted 30-day readmission rates (excess readmission ratio [ERR] > 1) after acute myocardial infarction (MI). However, the association of ERR with MI care processes and outcomes are not well established. Objective To evaluate the association between ERR for MI with in-hospital process of care measures and 1-year clinical outcomes. Design, Setting, and Participants Observational analysis of hospitalized patients with MI from National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry–Get With the Guidelines centers subject to the first cycle of the Hospital Readmissions Reduction Program between July 1, 2008, and June 30, 2011. Exposures The ERR for MI (MI-ERR) in 2011. Main Outcomes and Measures Adherence to process of care measures during index hospitalization in the overall study population and risk of the composite outcome of mortality or all-cause readmission within 1 year of discharge and its individual components among participants with available Centers for Medicare and Medicaid Services–linked data. Results The median ages of patients in the MI-ERR greater than 1 and tertiles 1, 2, and 3 of the MI-ERR greater than 1 groups were 64, 63, 64, and 63 years, respectively. Among 380 hospitals that treated a total of 176 644 patients with MI during the study period, 43% had MI-ERR greater than 1. The proportions of patients of black race, those with heart failure signs at admission, and bleeding complications increased with higher MI-ERR. There was no significant association between adherence to MI performance measures and MI-ERR (adjusted odds ratio, 0.94; 95% CI, 0.81-1.08, per 0.1-unit increase in MI-ERR for overall defect-free care). Among the 51 453 patients with 1-year outcomes data available, higher MI-ERR was associated with higher adjusted risk of

Predictive factors for and incidence of hospital readmissions of patients with acute and chronic pancreatitis.

PubMed

Suchsland, Till; Aghdassi, Ali; Kühn, Kristina; Simon, Peter; Lerch, Markus M; Mayerle, Julia; Flessa, Steffen

2015-01-01

Acute and chronic pancreatitis are common gastroenterological disorders that have a fairly unpredictable long-term course often associated with unplanned hospital readmissions. Little is known about the factors that increase or decrease the risk for a hospital readmission. The aim of this study was to identify positive and negative predictive factors for hospital readmissions of patients with acute and chronic pancreatitis after in-hospital treatment. In a retrospective analysis data from the hospital information and reimbursement data system (HIS) were evaluated for 606 hospital stays for either acute or chronic pancreatitis between 2006 and 2011. Additional clinical data were obtained from a questionnaire covering quality of life and socio-economic status. A total of 973 patient variables were assessed by bivariate and multivariate analysis. Between 2006 and 2011, 373 patients were admitted for acute or chronic pancreatitis; 107 patients of them were readmitted and 266 had only one hospitalization. Predictors for readmission were concomitant liver disease, presence of a pseudocyst or a suspected tumor of the pancreas as well as alcohol, tobacco or substance abuse or coexisting mental disorders. Patients who had undergone a CT-scan were more susceptible to readmission. Lower readmissions rates were found in patients with diabetes mellitus or gallstone disease as co-morbidity. While factors like age and severity of the initial disease cannot be influenced to reduce the readmission rate for pancreatitis, variables like alcohol, tobacco and drug abuse can be addressed in outpatient programs to reduce disease recurrence and readmission rates for pancreatitis. Copyright © 2015 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Factors affecting unplanned readmissions from community hospitals to acute hospitals: a prospective observational study.

PubMed

Leong, Ian Y O; Chan, Siew-Pang; Tan, Boon-Yeow; Sitoh, Yih-Yiow; Ang, Yan-Hoon; Merchant, Reshma; Kanagasabai, Kala; Lee, Patricia S Y; Pang, Weng-Sun

2009-02-01

While the readmission rate from community hospitals is known, the factors affecting it are not. Our aim was to determine the factors predicting unplanned readmissions from community hospitals (CHs) to acute hospitals (AHs). This was an observational prospective cohort study, involving 842 patients requiring post-acute rehabilitation in 2 CHs admitted from 3 AHs in Singapore. We studied the role of the Cumulative Illness Rating Scale (CIRS) organ impairment scores, the Mini-mental State Examination (MMSE) score, the Shah modified Barthel Index (BI) score, and the triceps skin fold thickness (TSFT) in predicting the rate of unplanned readmissions (UR), early unplanned readmissions (EUPR) and late unplanned readmissions (LUPR). We developed a clinical prediction rule to determine the risk of UR and EUPR. The rates of EUPR and LUPR were 7.6% and 10.3% respectively. The factors that predicted UR were the CIRS-heart score, the CIRS-haemopoietic score, the CIRS-endocrine / metabolic score and the BI on admission. The MMSE was predictive of EUPR. The TSFT and CIRS-liver score were predictive of LUPR. Upon receiver operator characteristics analysis, the clinical prediction rules for the prediction of EUPR and UR had areas under the curve of 0.745 and 0.733 respectively. The likelihood ratios of the clinical prediction rules for EUPR and UR ranged from 0.42 to 5.69 and 0.34 to 3.16 respectively. Patients who have UR can be identified by the admission BI, the MMSE, the TSFT and CIRS scores in the cardiac, haemopoietic, liver and endocrine/metabolic systems.

The association between hospital readmission and insurance provider among adults with asthma.

PubMed

Ather, Shabana; Chung, Katherine D; Gregory, Patrice; Demissie, Kitaw

2004-10-01

Asthma is ranked as the ninth most common chronic condition in the U.S., and its annual direct costs from hospital services alone are estimated at $3.1 billion. Hospitalization rates due to asthma reveal several disparities and may be attributed to recent changes in the healthcare delivery system, including the penetration of managed care. To examine the relationship between 7-day hospital readmission and insurance provider among adults with asthma. DDESIGN: A retrospective cohort study that included patients aged 18-64 with a principal diagnosis of asthma, who were discharged from acute nonfederal hospitals in New Jersey between 1 January 1993 and 31 December 1996. In the absence of unique patient identifiers, a linkage system was used to match subsequent readmissions for the same patient to the first admission. MMAIN OUTCOME MEASURE: Seven-day readmission. Results showed a significantly increased risk of 7-day readmission for managed care patients as compared to indemnity patients (OR= 1.67, 1.10-2.53). Shorter lengths of stay were associated with greater odds of readmission (LOS=0: OR=5.17, 2.49-10.75, LOS=1: OR=2.30, 1.30-4.07). Managed care patients have shorter lengths of stay as compared to indemnity patients, which leads to an increased risk of returning to the hospital within a short period of time. In trying to provide cost-effective patient care, we may be discharging patients prematurely.

The relationship of illness management and recovery to state hospital readmission.

PubMed

Bartholomew, Tom; Zechner, Michelle

2014-09-01

The current study examined the association between number of hours attended of the Illness Management and Recovery (IMR) program and psychiatric readmission rates after discharge from a state psychiatric hospital. The study used archival data, N = 1186, from a large northeastern state psychiatric hospital in the United States. A Cox's regression survival analyses was conducted, adjusting for extreme outliers and controlling for sociodemographic covariates, to examine the association between different amounts of IMR and the risk for returning to the hospital. After controlling for the client characteristics of age, sex, marital status, psychiatric diagnosis, and Global Assessment of Functioning score at discharge, as well as controlling for mean daily dose of generic hospital programming and the number of days of hospitalization, it was found that, for each hour of IMR, there was an associated 1.1% reduction in the risk for returning to the hospital. This suggests that participation in IMR while in inpatient settings may assist individuals in reducing their risk for returning to the hospital.

Hospital readmission following transplantation: identifying risk factors and designing preventive measures.

PubMed

McKenna, Dorothy R; Sullivan, Matthew R; Hill, John M; Lowrey, Christopher H; Brown, Jeremiah R; Hickman, Joshua; Meehan, Kenneth R

2015-09-01

About 1 in 7 of all hospitalized patients is readmitted within 30 days of discharge. The cost of readmissions is significant, with Medicare readmissions alone costing the health care system an estimated $28 billion a year. To identify the rates of and causes for readmission within 100 days of patients receiving a hematopoietic stem cell transplant. We performed a retrospective review of 235 consecutive transplant recipients (autologous, n = 144; allogeneic, n = 91) to determine rates and causes for readmission within 100 days of patients receiving a transplant. Medical records and hospital readmissions were reviewed for each patient. 36 allogeneic patients accounted for 56 readmissions. 23 autologous patients accounted for 26 readmissions. Autologous transplant recipients were most commonly readmitted for the development of a fever (n = 15 patients) or cardiopulmonary issues (n = 4). The most prevalent reasons for readmission in the allogeneic recipients included a fever (n = 21) or the development or exacerbation of graft-versus-host disease (n = 5). The readmission length of stay was 6 days (median range, 1-91 days) for allogeneic patients and 4 days (median range, 1-22 days) for autologous patients. There was no difference in survival between the readmitted and the non-readmitted cohorts ( = .55 for allogeneic patients; = .24 for autologous patients). Although allogeneic graft recipients demonstrated a higher readmission rate (39.6%) compared with autologous recipients (16%), none of the variables examined, including age, gender, performance status, diagnosis, remission status at the time of transplant, comorbidities, type of preparative chemotherapy regimen or donor type, identified patients at increased risk for readmission. Variations in clinical care, physician practices, and patient characteristics need to be considered when examining readmission rates. Most of the allogeneic patient population included unrelated donor recipients (65%) who received

Impact of a COPD comprehensive case management program on hospital length of stay and readmission rates.

PubMed

Alshabanat, Abdulmajeed; Otterstatter, Michael C; Sin, Don D; Road, Jeremy; Rempel, Carmen; Burns, Jane; van Eeden, Stephan F; FitzGerald, J M

2017-01-01

COPD accounts for the highest rate of hospital admissions among major chronic diseases. COPD hospitalizations are associated with impaired quality of life, high health care utilization, and poor prognosis and result in an economic and a social burden that is both substantial and increasing. The aim of this study is to determine the efficacy of a comprehensive case management program (CCMP) in reducing length of stay (LOS) and risk of hospital admissions and readmissions in patients with COPD. We retrospectively compared outcomes across five large hospitals in Vancouver, BC, Canada, following the implementation of a systems approach to the management of COPD patients who were identified in the hospital and followed up in the community for 90 days. We compared numbers, rates, and intervals of readmission and LOS during 2 years of active program delivery compared to 1 year prior to program implementation. A total of 1,564 patients with a clinical diagnosis of COPD were identified from 2,719 hospital admissions during the 3 years of study. The disease management program reduced COPD-related hospitalizations by 30% and hospitalizations for all causes by 13.6%. Similarly, the rate of readmission for all causes showed a significant decline, with hazard ratios (HRs) of 0.55 (year 1) and 0.51 (year 2) of intervention ( P <0.001). In addition, patients' mean LOS (days) for COPD-related admissions declined significantly from 10.8 to 6.8 ( P <0.05). A comprehensive disease management program for COPD patients, including education, case management, and follow-up, was associated with significant reduction in hospital admissions and LOS.

Dialysis Modality and Readmission Following Hospital Discharge: A Population-Based Cohort Study.

PubMed

Perl, Jeffrey; McArthur, Eric; Bell, Chaim; Garg, Amit X; Bargman, Joanne M; Chan, Christopher T; Harel, Shai; Li, Lihua; Jain, Arsh K; Nash, Danielle M; Harel, Ziv

2017-07-01

Readmissions following hospital discharge among maintenance dialysis patients are common, potentially modifiable, and costly. Compared with patients receiving in-center hemodialysis (HD), patients receiving peritoneal dialysis (PD) have fewer routine dialysis clinic encounters and as a result may be more susceptible to a hospital readmission following discharge. Population-based retrospective-cohort observational study. Patients treated with maintenance dialysis who were discharged following an acute-care hospitalization during January 1, 2003, to December 31, 2013, across 164 acute-care hospitals in Ontario, Canada. For those with multiple hospitalizations, we randomly selected a single hospitalization as the index hospitalization. Dialysis modality PD or in-center HD. Propensity scores were used to match each patient on PD therapy to 2 patients on in-center HD therapy to ensure that baseline indicators of health were similar between the 2 groups. All-cause 30-day readmission following the index hospital discharge. 28,026 dialysis patients were included in the study. 4,013 PD patients were matched to 8,026 in-center HD patients. Among the matched cohort, 30-day readmission rates were 7.1 (95% CI, 6.6-7.6) per 1,000 person-days for patients on PD therapy and 6.0 (95% CI, 5.7-6.3) per 1,000 person-days for patients on in-center HD therapy. The risk for a 30-day readmission among patients on PD therapy was higher compared with those on in-center HD therapy (adjusted HR, 1.19; 95% CI, 1.08-1.31). The primary results were consistent across several key prespecified subgroups. Lack of information for the frequency of nephrology physician encounters following discharge from the hospital in both the PD and in-center HD cohorts. Limited validation of International Classification of Diseases, Tenth Revision codes. The risk for 30-day readmission is higher for patients on home-based PD compared to in-center HD therapy. Interventions to improve transitions in care between the

Which Clinical and Patient Factors Influence the National Economic Burden of Hospital Readmissions After Total Joint Arthroplasty?

PubMed

Kurtz, Steven M; Lau, Edmund C; Ong, Kevin L; Adler, Edward M; Kolisek, Frank R; Manley, Michael T

2017-12-01

The Affordable Care Act of 2010 advanced the economic model of bundled payments for total joint arthroplasty (TJA), in which hospitals will be financially responsible for readmissions, typically at 90 days after surgery. However, little is known about the financial burden of readmissions and what patient, clinical, and hospital factors drive readmission costs. (1) What is the incidence, payer mix, and demographics of THA and TKA readmissions in the United States? (2) What patient, clinical, and hospital factors are associated with the cost of 30- and 90-day readmissions after primary THA and TKA? (3) Are there any differences in the economic burden of THA and TKA readmissions between payers? (4) What types of THA and TKA readmissions are most costly to the US hospital system? The recently developed Nationwide Readmissions Database from the Healthcare Cost and Utilization Project (2006 hospitals from 21 states) was used to identify 719,394 primary TJAs and 62,493 90-day readmissions in the first 9 months of 2013 based on International Classification of Diseases, 9th Revision, Clinical Modification codes. We classified the reasons for readmissions as either procedure- or medical-related. Cost-to-charge ratios supplied with the Nationwide Readmissions Database were used to compute the individual per-patient cost of 90-day readmissions as a continuous variable in separate general linear models for THA and TKA. Payer, patient, clinical, and hospital factors were treated as covariates. We estimated the national burden of readmissions by payer and by the reason for readmission. The national rates of 30- and 90-day readmissions after THA were 4% (95% confidence interval [CI], 4.2%-4.5%) and 8% (95% CI, 7.5%-8.1%), respectively. The national rates of 30- and 90-day readmissions after primary TKA were 4% (95% CI, 3.8%-4.0%) and 7% (95% CI, 6.8%-7.2%), respectively. The five most important variables responsible for the cost of 90-day THA readmissions (in rank order, based

The Frequent Fliers of New Mexico: Hospital Readmissions among the Homeless Population.

PubMed

Dirmyer, Victoria F

2016-07-01

It is estimated that there are 1.7 million homeless individuals in the United States; 36% are families with children under the age of 18. Due to lack of resources, individuals who are homeless frequent emergency departments for immediate health care needs. The aim of this study was to examine a homeless population over a 3-year time period who were admitted to an Albuquerque area hospital at any time during the time period. A comparison of demographic characteristics as well as hospitalization characteristics between two populations was analyzed: individuals who were homeless and had a 30-day readmission compared to those that did not have a 30-day readmission. There were 850 unique homeless patients that were admitted to an Albuquerque area hospital during the 3-year time period. The mean age was 43.8 years with the majority of the population being male. The 3-year average 30-day readmission rate was 30.1%. Multivariate regression analysis indicated that homeless patients older than 19 years, individuals with more than 1 admission during the time period, and individuals who left against medical advice had increased odds of a 30-day readmission. Individuals who were homeless who were admitted for respiratory conditions or cardiovascular disease had decreased odds of a 30-day readmission compared to patients admitted for neuropsychiatric conditions. In New Mexico, patients who were homeless experienced a high 30-day readmission rate. These results suggest a need for further research into the healthcare needs of this population and how to improve discharge protocols to prevent future readmissions.

Multiple Chronic Conditions and Disparities in 30-Day Hospital Readmissions Among Nonelderly Adults.

PubMed

Basu, Jayasree; Hanchate, Amresh; Koroukian, Siran

2018-05-15

This study examines the patterns of 30-day hospital readmissions by race/ethnicity and multiple chronic conditions (MCC) burden among nonelderly adult patients. We used hospital discharge data of patients in the 18- to 64-year age group in 5 US states, California, Florida, Missouri, New York, and Tennessee, for 2009 from the Healthcare Cost and Utilization Project State Inpatient Database (HCUP-SID) of the Agency for Healthcare Research and Quality, linked to contextual and provider data from the Health Resources and Services Administration. A multilevel logistic regression model was used for data pooled over 5 states, adjusting for patient, hospital, and community characteristics. Controlling for other covariates, the study found that a higher MCC burden was associated with a higher all-cause 30-day readmission risk. We found considerable heterogeneity in levels of readmission risk among racial/ethnic subgroups stratified by chronic conditions. Among patients with a lowest MCC burden, African Americans had the highest risk of readmission, but with a higher MCC burden, the risk of readmission increased most for Hispanics.

Hospital Utilization and Characteristics of Patients Experiencing Recurrent Readmissions Within Children’s Hospitals

PubMed Central

Berry, Jay G.; Hall, David E.; Kuo, Dennis Z.; Cohen, Eyal; Agrawal, Rishi; Feudtner, Chris; Hall, Matt; Kueser, Jacqueline; Kaplan, William; Neff, John

2011-01-01

Context Early hospital readmission is emerging as an indicator of care quality. Some children with chronic illnesses may be readmitted on a recurrent basis, but there are limited data describing their rehospitalization patterns and impact. Objectives To describe the inpatient resource utilization, clinical characteristics, and admission reasons of patients recurrently readmitted to children’s hospitals. Design, Setting, and Patients Retrospective cohort analysis of 317 643 patients (n=579 504 admissions) admitted to 37 US children’s hospitals in 2003 with follow-up through 2008. Main Outcome Measure Maximum number of readmissions experienced by each child within any 365-day interval during the 5-year follow-up period. Results In the sample, 69 294 patients (21.8%) experienced at least 1 readmission within 365 days of a prior admission. Within a 365-day interval, 9237 patients (2.9%) experienced 4 or more readmissions; time between admissions was a median 37 days (interquartile range [IQR], 21–63). These patients accounted for 18.8% (109 155 admissions) of all admissions and 23.2% ($3.4 billion) of total inpatient charges for the study cohort during the entire follow-up period. Tests for trend indicated that as the number of readmissions increased from 0 to 4 or more, the prevalences increased for a complex chronic condition (from 22.3% [n=55 382/248 349] to 89.0% [n=8225/9237]; P <.001), technology assistance (from 5.3% [n = 13 163] to 52.6% [n=4859]; P <.001), public insurance use (from 40.9% [n = 101 575] to 56.3% [n=5202]; P <.001), and non-Hispanic black race (from 21.8% [n=54 140] to 34.4% [n=3181]; P <.001); and the prevalence decreased for readmissions associated with an ambulatory care–sensitive condition (from 23.1% [62 847/272 065] to 14.0% [15 282/109 155], P<.001). Of patients readmitted 4 or more times in a 365-day interval, 2633 (28.5%) were rehospitalized for a problem in the same organ system across all admissions during the interval

Impact of a Post-Discharge Integrated Disease Management Program on COPD Hospital Readmissions.

PubMed

Russo, Ashlee N; Sathiyamoorthy, Gayathri; Lau, Chris; Saygin, Didem; Han, Xiaozhen; Wang, Xiao-Feng; Rice, Richard; Aboussouan, Loutfi S; Stoller, James K; Hatipoğlu, Umur

2017-11-01

Readmission following a hospitalization for COPD is associated with significant health-care expenditure. A multicomponent COPD post-discharge integrated disease management program was implemented at the Cleveland Clinic to improve the care of patients with COPD and reduce readmissions. This retrospective study reports our experience with the program. Groups of subjects who were exposed to different components of the program were compared regarding their readmission rates. Multivariate logistic regression analysis was performed to build predictive models for 30- and 90-d readmission. One hundred sixty subjects completed a 90-d follow-up, of which, 67 attended the exacerbation clinic, 16 subjects received care coordination, 51 subjects completed both, and 26 subjects did not participate in any component despite referral. Thirty- and 90-d readmission rates for the entire group were 18.1 and 46.2%, respectively. Thirty- and 90-d readmission rates for the individual groups were: exacerbation clinic, 11.9 and 35.8%; care coordination, 25.0 and 50.0%; both, 19.6 and 41.2%; and neither, 26.9 and 80.8%, respectively. The model with the best predictive ability for 30-d readmission risk included the number of hospitalizations within the previous year and use of noninvasive ventilation (C statistic of 0.84). The model for 90-d readmission risk included receiving any component of the post-discharge integrated disease management program, the number of hospitalizations, and primary care physician visits within the previous year (C statistic of 0.87). Receiving any component of a post-discharge integrated disease management program was associated with reduced 90-d readmission rate. Previous health-care utilization and lung function impairment were strong predictors of readmission. Copyright © 2017 by Daedalus Enterprises.

The Financial Effect of Value-Based Purchasing and the Hospital Readmissions Reduction Program on Safety-Net Hospitals in 2014: A Cohort Study.

PubMed

Gilman, Matlin; Hockenberry, Jason M; Adams, E Kathleen; Milstein, Arnold S; Wilson, Ira B; Becker, Edmund R

2015-09-15

Medicare's value-based purchasing (VBP) and the Hospital Readmissions Reduction Program (HRRP) could disproportionately affect safety-net hospitals. To determine whether safety-net hospitals incur larger financial penalties than other hospitals under VBP and HRRP. Cross-sectional analysis. United States in 2014. 3022 acute care hospitals participating in VBP and the HRRP. Safety-net hospitals were defined as being in the top quartile of the Medicare disproportionate share hospital (DSH) patient percentage and Medicare uncompensated care (UCC) payments per bed. The differences in penalties in both total dollars and dollars per bed between safety-net hospitals and other hospitals were estimated with the use of bivariate and graphical regression methods. Safety-net hospitals in the top quartile of each measure were more likely to be penalized under VBP than other hospitals (62.9% vs. 51.0% under the DSH definition and 60.3% vs. 51.5% under the UCC per-bed definition). This was also the case under the HRRP (80.8% vs. 69.0% and 81.9% vs. 68.7%, respectively). Safety-net hospitals also had larger payment penalties ($115 900 vs. $66 600 and $150 100 vs. $54 900, respectively). On a per-bed basis, this translated to $436 versus $332 and $491 versus $314, respectively. Sensitivity analysis setting the cutoff at the top decile rather than the top quartile decile led to similar conclusions with somewhat larger differences between safety-net and other hospitals. The quadratic fit of the data indicated that the larger effect of these penalties is in the middle of the distribution of the DSH and UCC measures. Only 2 measures of safety-net status were included in the analyses. Safety-net hospitals were disproportionately likely to be affected under VBP and the HRRP, but most incurred relatively small payment penalties in 2014. Patient-Centered Outcomes Research Institute.

Unplanned 30-day hospital readmission as a quality measure in gynecologic oncology.

PubMed

Wilbur, MaryAnn B; Mannschreck, Diana B; Angarita, Ana M; Matsuno, Rayna K; Tanner, Edward J; Stone, Rebecca L; Levinson, Kimberly L; Temkin, Sarah M; Makary, Martin A; Leung, Curtis A; Deutschendorf, Amy; Pronovost, Peter J; Brown, Amy; Fader, Amanda N

2016-12-01

Thirty-day readmission is used as a quality measure for patient care and Medicare-based hospital reimbursement. The primary study objective was to describe the 30-day readmission rate to an academic gynecologic oncology service. Secondary objectives were to identify risk factors and costs related to readmission. This was a retrospective, concurrent cohort study of all surgical admissions to an academic, high volume gynecologic oncology service during a two-year period (2013-2014). Data were collected on patient demographics, medical comorbidities, psychosocial risk factors, and results from a hospital discharge screening survey. Mixed logistic regression was used to identify factors associated with 30-day readmission and costs of readmission were assessed. During the two-year study period, 1605 women underwent an index surgical admission. Among this population, a total of 177 readmissions (11.0%) in 135 unique patients occurred. In a surgical subpopulation with >1 night stay, a readmission rate of 20.9% was observed. The mean interval to readmission was 11.8days (SD 10.7) and mean length of readmission stay was 5.1days (SD 5.0). Factors associated with readmission included radical surgery for ovarian cancer (OR 2.87) or cervical cancer (OR 4.33), creation of an ostomy (OR 11.44), a Charlson score of ≥5 (OR 2.15), a language barrier (OR 3.36), a median household income in the lowest quartile (OR 6.49), and a positive discharge screen (OR 2.85). The mean cost per readmission was $25,416 (SD $26,736), with the highest costs associated with gastrointestinal complications at $32,432 (SD $32,148). The total readmission-related costs during the study period were $4,523,959. Readmissions to a high volume gynecologic oncology service were costly and related to radical surgery for ovarian and cervical cancer as well as to medical, socioeconomic and psychosocial patient variables. These data may inform interventional studies aimed at decreasing unplanned readmissions in

Incidence and Risk Factors for Prolonged Hospitalization and Readmission after Transsphenoidal Pituitary Surgery.

PubMed

Bur, Andrés M; Brant, Jason A; Newman, Jason G; Hatten, Kyle M; Cannady, Steven B; Fischer, John P; Lee, John Y K; Adappa, Nithin D

2016-10-01

To evaluate the incidence and factors associated with 30-day readmission and to analyze risk factors for prolonged hospital length of stay following transsphenoidal pituitary surgery. Retrospective longitudinal claims analysis. American College of Surgeons National Surgical Quality Improvement Program. The database of the American College of Surgeons National Surgical Quality Improvement Program was queried for patients who underwent transsphenoidal pituitary surgery (Current Procedural Terminology code 61548 or 62165) between 2005 and 2014. Patient demographic information, indications for surgery, and incidence of hospital readmission and length of stay were reviewed. Risk factors for readmission and prolonged length of stay, defined as >75th percentile for the cohort, were identified through logistic regression modeling. A total of 1006 patients were included for analysis. Mean hospital length of stay after surgery was 4.1 ± 0.2 days. Predictors of prolonged length of stay were operative time (P < .001, odds ratio [OR] = 1.7, 95% confidence interval [95% CI] = 1.5-2.0), bleeding disorder (P = .049, OR = 3.1, 95% CI = 1.0-9.5), insulin-dependent diabetes (P = .007, OR = 2.4, 95% CI = 1.3-4.4), and reoperation (P < .001, OR = 10.3, 95% CI = 4.7-23.9). In a subset analysis of 529 patients who had surgery between 2012 and 2014, 7.2% (n = 38) required hospital readmission. History of congestive heart failure (CHF) was a predictor of hospital readmission (P = 0.03, OR = 12.7, 95% CI = 1.1-144.0). This review of a large validated surgical database demonstrates that CHF is an independent predictor of hospital readmission after transsphenoidal surgery. Although CHF is a known risk factor for postoperative complications, it poses unique challenges to patients with potential postoperative pituitary dysfunction. © American Academy of Otolaryngology—Head and Neck Surgery Foundation 2016.

Hospital Use of Observation Stays: Cross-sectional Study of the Impact on Readmission Rates.

PubMed

Venkatesh, Arjun K; Wang, Changqin; Ross, Joseph S; Altaf, Faseeha K; Suter, Lisa G; Vellanky, Smitha; Grady, Jacqueline N; Bernheim, Susannah M

2016-12-01

The Centers for Medicare and Medicaid Services publicly reports hospital risk-standardized readmission rates (RSRRs) as a measure of quality and performance; mischaracterizations may occur because observation stays are not captured by current measures. To describe variation in hospital use of observation stays, the relationship between hospitals observation stay use and RSRRs. Cross-sectional analysis of Medicare fee-for-service beneficiaries discharged after acute myocardial infarction (AMI), heart failure, or pneumonia between July 2011 and June 2012. We calculated 3 hospital-specific 30-day outcomes: (1) observation rate, the proportion of all discharges followed by an observation stay without a readmission; (2) observation proportion, the proportion of observation stays among all patients with an observation stay or readmission; and (3) RSRR. For all 3 conditions, hospitals' observation rates were <2.5% and observation proportions were <12%, although there was variation across hospitals, including 28% of hospital with no observation stay use for AMI, 31% for heart failure, and 43% for pneumonia. There were statistically significant, but minimal, correlations between hospital observation rates and RSRRs: AMI (r=-0.02), heart failure (r=-0.11), and pneumonia (r=-0.02) (P<0.001). There were modest inverse correlations between hospital observation proportion and RSRR: AMI (r=-0.34), heart failure (r=-0.26), and pneumonia (r=-0.21) (P<0.001). If observation stays were included in readmission measures, <4% of top performing hospitals would be recategorized as having average performance. Hospitals' observation stay use in the postdischarge period is low, but varies widely. Despite modest correlation between the observation proportion and RSRR, counting observation stays in readmission measures would minimally impact public reporting of performance.

Trends in Readmission Rates, Hospital Charges, and Mortality for Patients With Chronic Obstructive Pulmonary Disease (COPD) in Florida From 2009 to 2014.

PubMed

Jiang, Xinyi; Xiao, Hong; Segal, Richard; Mobley, William Cary; Park, Haesuk

2018-04-01

Chronic obstructive pulmonary disease (COPD) is a leading and costly cause of readmissions to the hospital, with one of the highest rates reported in Florida. From 2009 to 2014, strategies such as readmission reduction programs, as well as updated guidelines for COPD management, were instituted to reduce readmission rates for patients with COPD. Thus, the question has been raised whether COPD-related 30-day hospital readmission rates in Florida have decreased and whether COPD-related readmission costs during this period have changed. In addition, we examined trends in length of stay, hospital charges, and in-hospital mortality associated with COPD, as well as identified patient-level risk factors associated with 30-day readmissions. A retrospective analysis of adult patients (≥18 years of age) with COPD was conducted by using the Healthcare Cost and Utilization Project Florida State Inpatient Database, 2009 to 2014. Weighted least squares regression was used to assess trends in the COPD readmission rate on a yearly basis, as well as other outcomes of interest. A multivariable logistic regression was used to identify patient characteristics that were associated with 30-day COPD readmissions. Overall, 268,084 adults were identified as having COPD. Between 2009 and 2014, more than half of patients aged 65-84 years, most were white, 55% were female, and 73% had Medicare. The unadjusted rate for COPD-related 30-day readmissions did not change (8.04% to 7.85%; P = 0.434). However, the mean total charge for 30-day COPD-related readmissions was significantly higher in 2014 ($40,611) compared with that in 2009 ($36,714) (P = 0.011). The overall unadjusted in-hospital mortality of COPD-related hospitalizations significantly decreased from 1.83% in 2009 to 1.34% in 2014 (P < 0.001). In a multivariable logistic regression model, patients with COPD were 2% less likely to be readmitted to the hospital for each additional year (odds ratio [OR], 0.98 [95% confidence interval (CI

Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Hospital Readmission Rates Following Hip and Knee Arthroplasty.

PubMed

Martsolf, Grant R; Barrett, Marguerite L; Weiss, Audrey J; Kandrack, Ryan; Washington, Raynard; Steiner, Claudia A; Mehrotra, Ateev; SooHoo, Nelson F; Coffey, Rosanna

2016-08-17

Readmission rates following total hip arthroplasty (THA) and total knee arthroplasty (TKA) are increasingly used to measure hospital performance. Readmission rates that are not adjusted for race/ethnicity and socioeconomic status, patient risk factors beyond a hospital's control, may not accurately reflect a hospital's performance. In this study, we examined the extent to which risk-adjusting for race/ethnicity and socioeconomic status affected hospital performance in terms of readmission rates following THA and TKA. We calculated 2 sets of risk-adjusted readmission rates by (1) using the Centers for Medicare & Medicaid Services standard risk-adjustment algorithm that incorporates patient age, sex, comorbidities, and hospital effects and (2) adding race/ethnicity and socioeconomic status to the model. Using data from the Healthcare Cost and Utilization Project, 2011 State Inpatient Databases, we compared the relative performances of 1,194 hospitals across the 2 methods. Addition of race/ethnicity and socioeconomic status to the risk-adjustment algorithm resulted in (1) little or no change in the risk-adjusted readmission rates at nearly all hospitals; (2) no change in the designation of the readmission rate as better, worse, or not different from the population mean at >99% of the hospitals; and (3) no change in the excess readmission ratio at >97% of the hospitals. Inclusion of race/ethnicity and socioeconomic status in the risk-adjustment algorithm led to a relative-performance change in readmission rates following THA and TKA at <3% of the hospitals. We believe that policymakers and payers should consider this result when deciding whether to include race/ethnicity and socioeconomic status in risk-adjusted THA and TKA readmission rates used for hospital accountability, payment, and public reporting. Prognostic Level III. See instructions for Authors for a complete description of levels of evidence. Copyright © 2016 by The Journal of Bone and Joint Surgery

The Effects of Multiple Chronic Conditions on Adult Patient Readmissions and Hospital Finances: A Management Case Study

PubMed Central

Mihailoff, Michael; Deb, Shreyasi; Lee, James A.; Lynn, Joanne

2017-01-01

Medicare and other payers have launched initiatives to reduce hospital utilization, especially targeting readmissions within 30 days of discharge. Hospital managers have traditionally contended that hospitals would prosper better by ignoring the penalties for high readmission rates and keeping the beds more full. We aimed to test the financial effects of admissions and readmissions by persons with and without specified chronic conditions in one regional hospital. This is a management case study with a descriptive brief report. This study was conducted at Winchester Memorial Hospital, a general hospital in a largely rural area of Virginia, 2010-2015. The total margin per admission varied by diagnosis, with the average patient diagnosed with chronic obstructive pulmonary disease, heart failure, pneumonia, or chronic renal disease having negative margins. The largest per-patient losses were in diagnostic categories coinciding with the highest readmission rates. The margin declined into substantial losses with an increasing number of chronic conditions, which also corresponded with higher readmission rates. Patients with 5 or more clinical conditions had highest risk of readmission within 30 days (24.8%) and had an average total loss of $865 per admission in 2015. The adverse financial effects worsened between 2010 and 2015. This hospital might improve its finances by investing in strategies to reduce chronic illness hospitalizations, especially those with multiple chronic conditions and high risk of readmission. These findings counter the common claim that the hospital would do better to fill beds rather than to work on efficient utilization. Other hospitals could replicate these analyses to understand their situations. PMID:28863719

Has Health Care Reform Legislation Reduced the Economic Burden of Hospital Readmissions Following Primary Total Joint Arthroplasty?

PubMed

Kurtz, Steven M; Lau, Edmund C; Ong, Kevin L; Adler, Edward M; Kolisek, Frank R; Manley, Michael T

2017-11-01

The purpose of this study was to determine whether the cost of readmissions after primary total hip and knee arthroplasty (THA and TKA) has decreased since the introduction of health care reform legislation and what patient, clinical, and hospital factors drive such costs. The 100% Medicare inpatient dataset was used to identify 1,654,602 primary THA and TKA procedures between 2010 and 2014. The per-patient cost of readmissions was evaluated in general linear models in which the year of surgery and patient, clinical, and hospital factors were treated as covariates in separate models for THA and TKA. The year-to-year risk of 90-day readmission was reduced by 2% and 4% (P < .001) for THA and TKA, respectively. By contrast, the cost of readmissions did not change significantly over time. The 5 most important variables associated with the cost of 90-day THA readmissions (in rank order) were the nature of the readmission (ie, due to medical or procedure-related reasons), the length of stay, hospital's teaching status, discharge disposition, and hospital's overall total joint arthroplasty volume. The top 5 factors associated with the cost of 90-day TKA readmissions were (in rank order) the length of stay, hospital's teaching status, discharge disposition, patient's gender, and age. Although readmission rates declined slightly, the results of this study do not support the hypothesis that readmission costs have decreased since the introduction of health care reform legislation. Instead, we found that clinical and hospital factors were among the most important cost drivers. Copyright © 2017 Elsevier Inc. All rights reserved.

Dispensing inhalers to patients with chronic obstructive pulmonary disease on hospital discharge: Effects on prescription filling and readmission.

PubMed

Blee, John; Roux, Ryan K; Gautreaux, Stefani; Sherer, Jeffrey T; Garey, Kevin W

2015-07-15

The effects of dispensing inhalers to patients with chronic obstructive pulmonary disease (COPD) on hospital discharge were evaluated. Data were collected in 2011-12 for patients with COPD who had hospital orders for the study inhalers (preintervention group) and after implementation of the multidose medication dispensing on discharge (MMDD) service (2013-14) (postintervention group). The primary objective of this study was to assess inhaler adherence and readmission rates before and after MMDD implementation. Adherence was defined as filling the discharge prescription for the multidose inhaler at a Harris Health pharmacy within three days of discharge or having at least seven days of medication left in an inhaler from a previous prescription that was filled or refilled before hospital admission. All patients in the postintervention group were considered adherent, since every patient was given the remainder of his or her multidose inhaler when discharged. Data from 620 patients (412 in the preintervention group, 208 in the postintervention group) were collected. During the preintervention time period, 88 of 412 patients were readmitted within 30 days compared with 18 of 208 patients during the postintervention period (p < 0.001). The intervention was associated with a significant reduction in 30-day readmissions (p = 0.0016) and 60-day readmissions (p = 0.0056). A targeted pharmacy program to provide COPD patients being discharged from the hospital with the multidose inhalers they had used during hospitalization was associated with improved medication adherence, as measured by prescription filling behavior, and reduced rates of 30- and 60-day hospital readmissions. Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Trajectories of Risk for Specific Readmission Diagnoses after Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia.

PubMed

Krumholz, Harlan M; Hsieh, Angela; Dreyer, Rachel P; Welsh, John; Desai, Nihar R; Dharmarajan, Kumar

2016-01-01

The risk of rehospitalization is elevated in the immediate post-discharge period and declines over time. It is not known if the extent and timing of risk vary across readmission diagnoses, suggesting that recovery and vulnerability after discharge differ by physiologic system. We compared risk trajectories for major readmission diagnoses in the year after discharge among all Medicare fee-for-service beneficiaries hospitalized with heart failure (HF), acute myocardial infarction (AMI), or pneumonia from 2008-2010. We estimated the daily risk of rehospitalization for 12 major readmission diagnostic categories after accounting for the competing risk of death after discharge. For each diagnostic category, we identified (1) the time required for readmission risk to peak and then decline 50% from maximum values after discharge; (2) the time required for readmission risk to approach plateau periods of minimal day-to-day change; and (3) the extent to which hospitalization risks are higher among patients recently discharged from the hospital compared with the general elderly population. Among >3,000,000 hospitalizations, the yearly rate of rehospitalization was 67.0%, 49.5%, and 55.3% after hospitalization for HF, AMI, and pneumonia, respectively. The extent and timing of risk varied by readmission diagnosis and initial admitting condition. Risk of readmission for gastrointestinal bleeding/anemia peaked particularly late after hospital discharge, occurring 10, 6, and 7 days after hospitalization for HF, AMI, and pneumonia, respectively. Risk of readmission for trauma/injury declined particularly slowly, requiring 38, 20, and 38 days to decline by 50% after hospitalization for HF, AMI, and pneumonia, respectively. Patterns of vulnerability to different conditions that cause rehospitalization vary by time after hospital discharge. This finding suggests that recovery of various physiologic systems occurs at different rates and that post-discharge interventions to minimize

Predictors of readmission after outpatient plastic surgery.

PubMed

Mioton, Lauren M; Buck, Donald W; Rambachan, Aksharananda; Ver Halen, Jon; Dumanian, Gregory A; Kim, John Y S

2014-01-01

Hospital readmissions have become a topic of focus for quality care measures and cost-reduction efforts. However, no comparative multi-institutional data on plastic surgery outpatient readmission rates currently exist. The authors endeavored to investigate hospital readmission rates and predictors of readmission following outpatient plastic surgery. The 2011 National Surgical Quality Improvement Program database was reviewed for all outpatient procedures. Unplanned readmission rates were calculated for all 10 tracked surgical specialties (i.e., general, thoracic, vascular, cardiac, orthopedics, otolaryngology, plastics, gynecology, urology, and neurosurgery). Multivariate logistic regression models were used to determine predictors of readmission for plastic surgery. A total of 7005 outpatient plastic surgery procedures were isolated. Outpatient plastic surgery had a low associated readmission rate (1.94 percent) compared with other specialties. Seventy-five patients were readmitted with a complication. Multivariate regression analysis revealed obesity (body mass index ≥ 30), wound infection within 30 days of the index surgery, and American Society of Anesthesiologists class 3 or 4 physical status as significant predictors for unplanned readmission. Unplanned readmission after outpatient plastic surgery is infrequent and compares favorably to rates of readmission among other specialties. Obesity, wound infection within 30 days of the index operation, and American Society of Anesthesiologists class 3 or 4 physical status are independent predictors of readmission. As procedures continue to transition into outpatient settings and the drive to improve patient care persists, these findings will serve to optimize outpatient surgery use.

Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.

PubMed

Swain, Matthew J; Kharrazi, Hadi

2015-12-01

Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most researchers have used insurance claims or administrative data to train and operationalize their Readmission Risk Prediction Models (RRPMs). Some RRPM developers have also used electronic health records data; however, using health informatics exchange data has been uncommon among such predictive models and can be beneficial in its ability to provide real-time alerts to providers at the point of care. We conducted a semi-systematic review of readmission predictive factors published prior to March 2013. Then, we extracted and merged all significant variables listed in those articles for RRPMs. Finally, we matched these variables with common HL7 messages transmitted by a sample of health information exchange organizations (HIO). The semi-systematic review resulted in identification of 32 articles and 297 predictive variables. The mapping of these variables with common HL7 segments resulted in an 89.2% total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4%. The PID (patient identification) and OBX (observation results) segments cover 13.9% and 9.1% of the variables. Evaluating the same coverage in three sample HIOs showed data incompleteness. HIOs can utilize HL7 messages to develop unique RRPMs for their stakeholders; however, data completeness of exchanged messages should meet certain thresholds. If data quality standards are met by stakeholders, HIOs would be able to provide real-time RRPMs that not only predict intra-hospital readmissions but also inter-hospital cases. A RRPM derived using HIO data exchanged through may prove to be a useful method to prevent unplanned hospital readmissions. In order for the RRPM derived from HIO data to be effective, hospitals must actively exchange clinical information

Rationale and design of PRIMA II: A multicenter, randomized clinical trial to study the impact of in-hospital guidance for acute decompensated heart failure treatment by a predefined NT-PRoBNP target on the reduction of readmIssion and Mortality rAtes.

PubMed

Stienen, Susan; Salah, Khibar; Moons, Andreas H M; Bakx, Adrianus L M; van Pol, Petra E; Schroeder-Tanka, Jutta M; Voogel, Albertus J; Keijer, Jan T; Kortz, R A Mikael; Dickhoff, Cathelijne; Meregalli, Paola G; Tijssen, Jan G; Pinto, Yigal M; Kok, Wouter E

2014-07-01

Hospital admissions for acute decompensated heart failure (ADHF) are frequent and are accompanied by high percentages of mortality and readmissions. Brain natriuretic peptide (BNP) and the inactive N-terminal fragment of its precursor proBNP (NT-proBNP) are currently the best predictors of prognosis in heart failure (HF) patients. In the setting of chronic HF, studies that performed guidance of therapy by NT-proBNP have had only limited success. For patients with ADHF, retrospective studies have shown that a reduction in NT-proBNP of ≤30% during admission is a significant predictor of HF readmissions and mortality. These data suggest a role for NT-proBNP guidance in the setting of ADHF admissions. The PRIMA II is an investigator-initiated, multicenter, randomized, controlled, prospective 2-arm trial that investigates the impact of inhospital guidance for ADHF treatment by a predefined NT-proBNP target (>30% reduction during admission) on the reduction of readmission and mortality rates within 180 days. Consenting ADHF patients with NT-proBNP levels of >1,700 ng/L are eligible. After achieving clinical stability, a total of 340 patients are randomized to either NT-proBNP-guided or conventional treatment (1:1). The primary end point is dual, that is, a composite of all-cause mortality and readmission for HF in 180 days and the number of days alive out of hospital in 180 days. Secondary end points are readmissions and/or mortality in 180 days, cost effectiveness of hospitalization days in 180 days, readmissions and mortality in 90 days, and quality of life. The PRIMA II trial aims at providing scientific evidence for the use of NT-proBNP-guided therapy compared with conventional treatment in patients admitted for ADHF. Copyright © 2014 Mosby, Inc. All rights reserved.

The role of the hospital and health care system characteristics in readmissions after major surgery in California.

PubMed

Chen, Joy C; Shaw, Jeremy D; Ma, Yifei; Rhoads, Kim F

2016-02-01

Hospital readmission after major surgery is a costly problem that has been associated with patient characteristics. Because hospitals are incentivized to join accountable care organizations, interventions on a hospital or health care system level may help reduce readmissions. Our objective was to identify hospital- and systems-level characteristics associated with readmissions after major operative procedures. Retrospective analysis of California discharge abstracts with record linkage numbers for adult patients undergoing coronary artery bypass graft (CABG), colectomy or total hip/knee arthroplasty (TJA) in California acute, nonfederal hospitals in 2011. The record linkage number showed where patients were readmitted. Hierarchic logistic regression estimated the odds of readmission by hospital characteristics. There were 91,205 records analyzed: CABG (6.4%), colectomy (12.0%), and TJA (82.3%). There were 120 hospitals that performed CABG surgery; 296 performed colectomy; and 298 performed TJA. Readmission rates after CABG was 9.7%, colectomy 7.7%, and TJA 3.9%. After adjustment for patient factors, rural location was predictive of readmission after colectomy (odds ratio [OR] 2.08, 95% confidence interval [CI] 1.40-3.08). Low-volume (OR 1.54, 95% CI 1.13-2.10) and minority-serving hospitals (OR 1.18, 95% CI 1.05-1.33) were associated with greater odds of readmission after TJA. Select hospital characteristics are associated with readmissions after major operative procedures. Because financial penalties may worsen performance in vulnerable or low-resource settings, policies aimed at reducing readmissions should be attentive to the potential unintended consequences. Copyright © 2016 Elsevier Inc. All rights reserved.

Incidence of potentially avoidable urgent readmissions and their relation to all-cause urgent readmissions

PubMed Central

van Walraven, Carl; Jennings, Alison; Taljaard, Monica; Dhalla, Irfan; English, Shane; Mulpuru, Sunita; Blecker, Saul; Forster, Alan J.

2011-01-01

Background: Urgent, unplanned hospital readmissions are increasingly being used to gauge the quality of care. We reviewed urgent readmissions to determine which were potentially avoidable and compared rates of all-cause and avoidable readmissions. Methods: In a multicentre, prospective cohort study, we reviewed all urgent readmissions that occurred within six months among patients discharged to the community from 11 teaching and community hospitals between October 2002 and July 2006. Summaries of the readmissions were reviewed by at least four practising physicians using standardized methods to judge whether the readmission was an adverse event (poor clinical outcome due to medical care) and whether the adverse event could have been avoided. We used a latent class model to determine whether the probability that each readmission was truly avoidable exceeded 50%. Results: Of the 4812 patients included in the study, 649 (13.5%, 95% confidence interval [CI] 12.5%–14.5%) had an urgent readmission within six months after discharge. We considered 104 of them (16.0% of those readmitted, 95% CI 13.3%–19.1%; 2.2% of those discharged, 95% CI 1.8%–2.6%) to have had a potentially avoidable readmission. The proportion of patients who had an urgent readmission varied significantly by hospital (range 7.5%–22.5%; χ2 = 92.9, p < 0.001); the proportion of readmissions deemed avoidable did not show significant variation by hospital (range 1.2%–3.7%; χ2 = 12.5, p < 0.25). We found no association between the proportion of patients who had an urgent readmission and the proportion of patients who had an avoidable readmission (Pearson correlation 0.294; p = 0.38). In addition, we found no association between hospital rankings by proportion of patients readmitted and rankings by proportion of patients with an avoidable readmission (Spearman correlation coefficient 0.28, p = 0.41). Interpretation: Urgent readmissions deemed potentially avoidable were relatively uncommon

Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: A nationwide analysis.

PubMed

Shah, Rushikesh; Haydek, Christopher; Mulki, Ramzi; Qayed, Emad

2018-06-01

Patients with chronic pancreatitis are prone to frequent readmissions. The aim of this study is to evaluate the rate and predictors of 30-day readmissions in patients with chronic pancreatitis using the Nationwide Readmission Database (NRD). We performed a retrospective analysis of all adult patients with the principal discharge diagnosis of chronic pancreatitis from 2010 through 2014. We excluded patients who died during the hospitalization. Multivariate Cox proportional hazard regression was performed to identify demographic, clinical, and hospital factors that associated with 30-day unplanned readmissions. During the study period, 25,259 patients had the principal discharge diagnosis of chronic pancreatitis and survived the index hospitalization. Of these, 6477 (26.7%) were readmitted within 30 days. Younger age group, males, length of stay >5 days, admission to a large, metropolitan hospital, and several comorbidities (renal failure, rheumatic disease, chronic anemia, heart failure, depression, drug abuse, psychosis, and diabetes) were independently associated with increased risk of 30-day readmission. ERCP, pancreatic surgery, and obesity were associated with lower risk. The most common reasons for readmissions were acute pancreatitis (30%), chronic pancreatitis (17%), pseudocyst (2%), and abdominal pain (6%). One in four patients with chronic pancreatitis is readmitted within 30 days (26.7%). Pancreatic disease accounts for at least half of all readmissions. Several baseline comorbidities and characteristics are associated with 30-day readmission risk after index admission. Knowledge of these predictors can help design interventions to target high-risk patients and reduce readmissions and costs of care. Copyright © 2018 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Effect of Discharge Summary Availability During Post-discharge Visits on Hospital Readmission

PubMed Central

van Walraven, Carl; Seth, Ratika; Austin, Peter C; Laupacis, Andreas

2002-01-01

OBJECTIVE To determine if the delivery of hospital discharge summaries to follow-up physicians decreases the risk of hospital readmission. SUBJECTS Eight hundred eighty-eight patients discharged from a single hospital following treatment for an acute medical illness. SETTING Teaching hospital in a universal health-care system. DESIGN We determined the date that each patient's discharge summary was printed and the physicians to whom it was sent. Summary receipt was confirmed by survey and phoning each physician's office. Each patient's hospital chart was reviewed to determine their acute and chronic medical conditions as well as their course in hospital. Using population-based administrative databases, all post-hospitalization visits were identified. For each of these visits, we determined whether the summary was available. MAIN OUTCOME MEASURES Time to nonelective hospital readmission during 3 months following discharge. RESULTS The discharge summary was available for only 568 of 4,639 outpatient visits (12.2%). Overall, 240 (27.0%) of patients were urgently readmitted to hospital. After adjusting for significant patient and hospitalization factors, we found a trend toward a decreased risk of readmission for patients who were seen in follow-up by a physician who had received a summary (relative risk 0.74, 95% confidence interval 0.50 to 1.11). CONCLUSIONS The risk of rehospitalization may decrease when patients are assessed following discharge by physicians who have received the discharge summary. Further research is required to determine if better continuity of patient information improves patient outcomes. PMID:11929504

Effect of discharge summary availability during post-discharge visits on hospital readmission.

PubMed

van Walraven, Carl; Seth, Ratika; Austin, Peter C; Laupacis, Andreas

2002-03-01

To determine if the delivery of hospital discharge summaries to follow-up physicians decreases the risk of hospital readmission. Eight hundred eighty-eight patients discharged from a single hospital following treatment for an acute medical illness. Teaching hospital in a universal health-care system. We determined the date that each patient's discharge summary was printed and the physicians to whom it was sent. Summary receipt was confirmed by survey and phoning each physician's office. Each patient's hospital chart was reviewed to determine their acute and chronic medical conditions as well as their course in hospital. Using population-based administrative databases, all post-hospitalization visits were identified. For each of these visits, we determined whether the summary was available. Time to nonelective hospital readmission during 3 months following discharge. The discharge summary was available for only 568 of 4,639 outpatient visits (12.2%). Overall, 240 (27.0%) of patients were urgently readmitted to hospital. After adjusting for significant patient and hospitalization factors, we found a trend toward a decreased risk of readmission for patients who were seen in follow-up by a physician who had received a summary (relative risk 0.74, 95% confidence interval 0.50 to 1.11). The risk of rehospitalization may decrease when patients are assessed following discharge by physicians who have received the discharge summary. Further research is required to determine if better continuity of patient information improves patient outcomes.

Impact of Inpatient Versus Outpatient Total Joint Arthroplasty on 30-Day Hospital Readmission Rates and Unplanned Episodes of Care.

PubMed

Springer, Bryan D; Odum, Susan M; Vegari, David N; Mokris, Jeffrey G; Beaver, Walter B

2017-01-01

This article describes a study comparing 30-day readmission rates between patients undergoing outpatient versus inpatient total hip (THA) and knee (TKA) arthroplasty. A retrospective review of 137 patients undergoing outpatient total joint arthroplasty (TJA) and 106 patients undergoing inpatient (minimum 2-day hospital stay) TJA was conducted. Unplanned hospital readmissions and unplanned episodes of care were recorded. All patients completed a telephone survey. Seven inpatients and 16 outpatients required hospital readmission or an unplanned episode of care following hospital discharge. Readmission rates were higher for TKA than THA. The authors found no statistical differences in 30-day readmission or unplanned care episodes. Copyright © 2016 Elsevier Inc. All rights reserved.

Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization.

PubMed

Horwitz, Leora I; Wang, Yongfei; Altaf, Faseeha K; Wang, Changqin; Lin, Zhenqiu; Liu, Shuling; Grady, Jacqueline; Bernheim, Susannah M; Desai, Nihar R; Venkatesh, Arjun K; Herrin, Jeph

2018-04-01

Whether types of hospitals with high readmission rates also have high overall postdischarge acute care utilization (including emergency department and observation care) is unknown. Cross-sectional analysis. Nonfederal United States acute care hospitals. Using methodology established by the Centers for Medicare & Medicaid Services, we calculated each hospital's "excess days in acute care" for fee-for-service (FFS) Medicare beneficiaries aged over 65 years discharged after hospitalization for acute myocardial infarction, heart failure (HF), or pneumonia, representing the mean difference between predicted and expected total days of acute care utilization in the 30 days following hospital discharge, per 100 discharges. We assessed the multivariable association of 8 hospital characteristics with excess days in acute care and the proportion of hospitals with each characteristic that were statistical outliers (95% credible interval estimate does not include 0). We included 2184 hospitals for acute myocardial infarction [228 (10.4%) better than expected, 549 (25.1%) worse than expected], 3720 hospitals for HF [484 (13.0%) better and 840 (22.6%) worse], and 4195 hospitals for pneumonia [673 (16.0%) better, 1005 (24.0%) worse]. Results for all conditions were similar. Worse than expected outliers for pneumonia included: 18.8% of safety net hospitals versus 26.1% of nonsafety net hospitals; 16.7% of public hospitals versus 33.1% of for-profit hospitals; 19.5% of nonteaching hospitals versus 52.2% of major teaching hospitals; 7.9% of rural hospitals versus 42.1% of large urban hospitals; 5.9% of hospitals with 24-<50 beds versus 58% of hospitals with >500 beds; and 29.0% of hospitals with nurse-to-bed ratios >1.0-1.5 versus 21.7% of hospitals with ratios >2.0. Including emergency department and observation stays in measures of postdischarge utilization produces similar results as measuring only readmissions in that major teaching, urban and for-profit hospitals still perform

Readmissions to Different Hospitals After Common Surgical Procedures and Consequences for Implementation of Perioperative Surgical Home Programs.

PubMed

Dexter, Franklin; Epstein, Richard H; Sun, Eric C; Lubarsky, David A; Dexter, Elisabeth U

2017-09-01

We consider whether there should be greater priority of information sharing about postacute surgical resources used: (1) at skilled nursing facilities or inpatient rehabilitation hospitals to which patients are transferred upon discharge (when applicable) versus (2) at different hospitals where readmissions occur. Obtaining and storing data electronically from these 2 sources for Perioperative Surgical Home initiatives are dissimilar; both can be challenging depending on the country and health system. Using the 2013 US Nationwide Readmissions Database, we studied discharges of surgical diagnosis-related group (DRG) with US national median length of stay (LOS) ≥ 3 days and ≥ 10 hospitals each with ≥ 100 discharges for the Medicare Severity DRG. Nationwide, 16.15% (95% confidence interval [CI], 15.14%-17.22%) of discharges were with a disposition of "not to home" (ie, transfer to a skilled nursing facility or an inpatient rehabilitation hospital). Within 30 days, 0.88% of discharges (0.82%-0.95%) were followed by readmission and to a different hospital than the original hospital where the surgery was performed. Among all discharges, disposition "not to home" versus "to home" was associated with greater odds that the patient would have readmission within 30 days and to a different hospital than where the surgery was performed (2.11, 95% CI, 1.96-2.27; P < .0001). In part, this was because disposition "not to home" was associated with greater odds of readmission to any hospital (1.90, 95% CI, 1.82-1.98; P < .0001). In addition, among the subset of discharges with readmission within 30 days, disposition "not to home" versus "to home" was associated with greater odds that the readmission was to a different hospital than where the surgery was performed (1.20, 95% CI, 1.11-1.31; P < .0001). There was no association between the hospitals' median LOS for the DRG and the odds that readmission was to a different hospital (P = .82). The odds ratio per each 1 day decrease

Hospital readmission risks in older adults following inpatient subacute care: A six-month follow-up study.

PubMed

Lee, Den-Ching A; Williams, Cylie; Lalor, Aislinn F; Brown, Ted; Haines, Terry P

2018-05-09

High rates of unplanned hospital readmissions are a burden on healthcare systems and individuals. This study examined factors at, and after initial hospital discharge and their associations with unplanned hospital readmission for older adults up to six months post-discharge from subacute care. Older subacute care patients were surveyed prior to discharge, and assessed monthly post-discharge for six months. Data included the Geriatric Depression Scale, Phone-Fitt sub-scales, Friendship Scale, modified Lubben Social Network Scale, unplanned hospital readmission, self-reported physical capacity and falls in the last month were collected. Regression analyses were used to examine relationships between unplanned hospital readmission and variables that may predispose this outcome. Participants (n = 311) completed the baseline assessment. N = 218 (70%) completed all at six-month post-discharge. Eighty-nine (29%) participants shared 143 readmissions. Those with cancer history (adjusted OR [95% CI]) (1.97 [1.15, 3.39]), neurological disease other than stroke (2.95 [1.32, 6.57]) and dependence on others to assist in bending tasks (1.94 [1.14, 3.29]) at initial discharge were associated with readmission within six months post-discharge. Those who fell in the last month (adjusted OR [robust 95% CI]) (2.28 [1.43, 3.64]), being less physical active (0.98 [0.96, 0.99]), and dependence on others in moving around residence (2.63 [1.37, 5.06]) after initial discharge were associated with a readmission in the next month within six months post-discharge. Trials investigating the effectiveness of strategies to reduce falls, build physical capacity, increase physical activity level, and connection with health care services after discharge to prevent readmission are warranted. Copyright © 2018 Elsevier B.V. All rights reserved.

Predictors of psychiatric readmission among patients with bipolar disorder at an academic safety-net hospital.

PubMed

Hamilton, Jane E; Passos, Ives C; de Azevedo Cardoso, Taiane; Jansen, Karen; Allen, Melissa; Begley, Charles E; Soares, Jair C; Kapczinski, Flavio

2016-06-01

Even with treatment, approximately one-third of patients with bipolar disorder relapse into depression or mania within 1 year. Unfavorable clinical outcomes for patients with bipolar disorder include increased rates of psychiatric hospitalization and functional impairment. However, only a few studies have examined predictors of psychiatric hospital readmission in a sample of patients with bipolar disorder. The purpose of this study was to examine predictors of psychiatric readmission within 30 days, 90 days and 1 year of discharge among patients with bipolar disorder using a conceptual model adapted from Andersen's Behavioral Model of Health Service Use. In this retrospective study, univariate and multivariate logistic regression analyses were conducted in a sample of 2443 adult patients with bipolar disorder who were consecutively admitted to a public psychiatric hospital in the United States from 1 January to 31 December 2013. In the multivariate models, several enabling and need factors were significantly associated with an increased risk of readmission across all time periods examined, including being uninsured, having ⩾3 psychiatric hospitalizations and having a lower Global Assessment of Functioning score. Additional factors associated with psychiatric readmission within 30 and 90 days of discharge included patient homelessness. Patient race/ethnicity, bipolar disorder type or a current manic episode did not significantly predict readmission across all time periods examined; however, patients who were male were more likely to readmit within 1 year. The 30-day and 1-year multivariate models showed the best model fit. Our study found enabling and need factors to be the strongest predictors of psychiatric readmission, suggesting that the prevention of psychiatric readmission for patients with bipolar disorder at safety-net hospitals may be best achieved by developing and implementing innovative transitional care initiatives that address the issues

Convenient Access to Professional Interpreters in the Hospital Decreases Readmission Rates and Estimated Hospital Expenditures for Patients With Limited English Proficiency.

PubMed

Karliner, Leah S; Pérez-Stable, Eliseo J; Gregorich, Steven E

2017-03-01

Twenty-five million people in the United States have limited English proficiency (LEP); this growing and aging population experiences worse outcomes when hospitalized. Federal requirements that hospitals provide language access services are very challenging to implement in the fast-paced, 24-hour hospital environment. To determine if increasing access to professional interpreters improves hospital outcomes for older patients with LEP. Natural experiment on a medicine floor of an academic hospital. Patients age 50 years or above discharged between January 15, 2007 and January 15, 2010. Dual-handset interpreter telephone at every bedside July 15, 2008 to Mar 14, 2009. Thirty-day readmission, length of stay, estimated hospital expenditures. Of 8077 discharges, 1963 were for LEP, and 6114 for English proficient patients. There was a significant decrease in observed 30-day readmission rates for the LEP group during the 8-month intervention period compared with 18 months preintervention (17.8% vs. 13.4%); at the same time English proficient readmission rates increased (16.7% vs. 19.7%); results remained significant in adjusted analyses. This improved readmission outcome for the LEP group was not maintained during the subsequent postintervention period when the telephones became less accessible. There was no significant intervention impact on length of stay in either unadjusted or adjusted analyses. After accounting for interpreter services costs, the estimated 119 readmissions averted during the intervention period were associated with estimated monthly hospital expenditure savings of $161,404. Comprehensive language access represents an important, high value service that all medical centers should provide to achieve equitable, quality healthcare for vulnerable LEP populations.

Improving Outcomes After Hospitalization: A Prospective Observational Multicenter Evaluation of Care Coordination Strategies for Reducing 30-Day Readmissions to Maryland Hospitals.

PubMed

Hoyer, Erik H; Brotman, Daniel J; Apfel, Ariella; Leung, Curtis; Boonyasai, Romsai T; Richardson, Melissa; Lepley, Diane; Deutschendorf, Amy

2018-05-01

Patients frequently experience suboptimal transitions from the hospital to the community, which can increase the likelihood of readmission. It is not known which care coordination services can lead to improvements in readmission rates. To evaluate the effects of two care coordination interventions on 30-day readmission rates. Prospective multicenter observational study of hospitalized patients eligible for two care coordination services between January 1, 2013, and October 31, 2015. Readmission rates were compared for patients who received each care coordination intervention versus those who did not using multivariable generalized estimating equation logistic regression models. A total of 25,628 patients hospitalized in medicine, neurosciences, or surgical sciences units. Patients discharged home and deemed to be at high risk for readmission were assigned a nurse Transition Guide (TG) for 30 days post-discharge. All other patients were assigned the Patient Access Line (PAL) intervention, which provided a post-discharge phone call from a registered nurse. Two large academic hospitals in Baltimore, MD. Thirty-day all-cause readmission to any Maryland hospital. Among all patients, 14.2% (2409/16,993) of those referred for the PAL intervention and 22.8% (1973/8635) of those referred for the TG intervention were readmitted. PAL-referred patients who did not receive the intervention had an adjusted odds ratio (aOR) for readmission of 1.27 (95% confidence interval [95% CI] 1.12-1.44, p < 0.001) compared with patients who did. TG-referred patients who did not receive the TG intervention had an aOR of 1.83 (95% CI 1.60-2.10, p < 0.001) compared with patients who received the intervention. Younger age, male sex, having more comorbidities, and being discharged from a medicine unit were associated with not receiving an assigned intervention. These characteristics were also associated with higher readmission rates. PAL and TG care coordination interventions were associated

Variation in readmission expenditures after high-risk surgery

PubMed Central

Jacobs, Bruce L.; He, Chang; Li, Benjamin Y.; Helfand, Alex; Krishnan, Naveen; Borza, Tudor; Ghaferi, Amir A.; Hollenbeck, Brent K.; Helm, Jonathan E.; Lavieri, Mariel S.; Skolarus, Ted A.

2017-01-01

Background The Hospital Readmissions Reduction Program reduces payments to hospitals with excess readmissions for three common medical conditions and recently extended its readmission program to surgical patients. We sought to investigate readmission intensity as measured by readmission cost for high-risk surgeries and examine predictors of higher readmission costs. Materials and Methods We used the Healthcare Cost and Utilization Project's State Inpatient Database to perform a retrospective cohort study of patients undergoing major chest (aortic valve replacement, coronary artery bypass grafting, lung resection) and major abdominal (abdominal aortic aneurysm repair [open approach], cystectomy, esophagectomy, pancreatectomy) surgery in 2009 and 2010. We fit a multivariable logistic regression model with generalized estimation equations to examine patient and index admission factors associated with readmission costs. Results The 30-day readmission rate was 16% for major chest and 22% for major abdominal surgery (p<0.001). Discharge to a skilled nursing facility was associated with higher readmission costs for both chest (OR 1.99; 95% CI 1.60-2.48) and abdominal surgeries (OR 1.86; 95% CI 1.24-2.78). Comorbidities, length of stay, and receipt of blood or imaging was associated with higher readmission costs for chest surgery patients. Readmission >3 weeks after discharge was associated with lower costs among abdominal surgery patients. Conclusions Readmissions after high-risk surgery are common, affecting about one in six patients. Predictors of higher readmission costs differ among major chest and abdominal surgeries. Better identifying patients susceptible to higher readmission costs may inform future interventions to either reduce the intensity of these readmissions or eliminate them altogether. PMID:28601334

Travel Time Influences Readmission Risk: Geospatial Mapping of Surgical Readmissions.

PubMed

Turrentine, Florence E; Buckley, Patrick J; Sohn, Min-Woong; Williams, Michael D

2017-06-01

The University of Virginia (UVA) has recently become an Accountable Care Organization (ACO), intensifying efforts to provide better care for individuals. UVA's ACO population resides across the entire Commonwealth, with a large percentage of patients living in rural areas. To provide better health for this population, the central tenet of the ACO mission, we identified geographic risk factors influencing hospital readmission. We analyzed the relationship between the distance of patients' residence to the nearest hospital and 30-day readmission in general surgery patients. A retrospective chart review using January 1, 2011 through October 31, 2013 American College of Surgeons National Surgical Quality Improvement Program data for general surgery procedures was conducted. ArcGIS mapped street addresses provided graphical representation of distance between surgical population and the nearest hospital. We analyzed the impact on readmission, of time traveled, insurance status, and median household income. Each increase of 10 minutes in travel time from the patient's residence to the nearest hospital, not just UVA, was associated with a 9 per cent increase in the probability of readmission after adjusting for patient characteristics, preoperative comorbidities, laboratory values, and postoperative complications before or after discharge (odds ratio = 1.09; 95% confidence interval = 1.01-1.17; P = 0.019). Unlike urban hospitals, those serving rural populations may be at particular risk of postsurgical readmissions. Patients living furthest from a hospital facility are most at risk for readmission after a general surgery procedure. This vulnerable population may benefit most from comprehensive discharge planning.

A Patient Navigator Intervention to Reduce Hospital Readmissions among High-Risk Safety-Net Patients: A Randomized Controlled Trial.

PubMed

Balaban, Richard B; Galbraith, Alison A; Burns, Marguerite E; Vialle-Valentin, Catherine E; Larochelle, Marc R; Ross-Degnan, Dennis

2015-07-01

Evidence-based interventions to reduce hospital readmissions may not generalize to resource-constrained safety-net hospitals. To determine if an intervention by patient navigators (PNs), hospital-based Community Health Workers, reduces readmissions among high risk, low socioeconomic status patients. Randomized controlled trial. General medicine inpatients having at least one of the following readmission risk factors: (1) age ≥60 years, (2) any in-network inpatient admission within the past 6 months, (3) length of stay ≥3 days, (4) admission diagnosis of heart failure, or (5) chronic obstructive pulmonary disease. The analytic sample included 585 intervention patients and 925 controls. PNs provided coaching and assistance in navigating the transition from hospital to home through hospital visits and weekly telephone outreach, supporting patients for 30 days post-discharge with discharge preparation, medication management, scheduling of follow-up appointments, communication with primary care, and symptom management. The primary outcome was in-network 30-day hospital readmissions. Secondary outcomes included rates of outpatient follow-up. We evaluated outcomes for the entire cohort and stratified by patient age >60 years (425 intervention/584 controls) and ≤60 years (160 intervention/341 controls). Overall, 30-day readmission rates did not differ between intervention and control patients. However, the two age groups demonstrated marked differences. Intervention patients >60 years showed a statistically significant adjusted absolute 4.1% decrease [95% CI: -8.0%, -0.2%] in readmission with an increase in 30-day outpatient follow-up. Intervention patients ≤60 years showed a statistically significant adjusted absolute 11.8% increase [95% CI: 4.4%, 19.0%] in readmission with no change in 30-day outpatient follow-up. A patient navigator intervention among high risk, safety-net patients decreased readmission among older patients while increasing readmissions

Risk of death and readmission of hospital-admitted COPD exacerbations: European COPD Audit.

PubMed

Hartl, Sylvia; Lopez-Campos, Jose Luis; Pozo-Rodriguez, Francisco; Castro-Acosta, Ady; Studnicka, Michael; Kaiser, Bernhard; Roberts, C Michael

2016-01-01

Studies report high in-hospital and post-discharge mortality of chronic obstructive pulmonary disease (COPD) exacerbations varying depending upon patient characteristics, hospital resources and treatment standards. This study aimed to investigate the patient, resource and organisational factors associated with in-hospital and 90-day post-discharge mortality and readmission of COPD exacerbations within the European COPD Audit. The audit collected data of COPD exacerbation admissions from 13 European countries.On admission, only 49.7% of COPD patients had spirometry results available and only 81.6% had blood gases taken. Using logistic regression analysis, the risk associated with in-hospital and post-discharge mortality was higher age, presence of acidotic respiratory failure, subsequent need for ventilatory support and presence of comorbidity. In addition, the 90-day risk of COPD readmission was associated with previous admissions. Only the number of respiratory specialists per 1000 beds, a variable related to hospital resources, decreased the risk of post-discharge mortality.The European COPD Audit identifies risk factors associated with in-hospital and post-discharge mortality and COPD readmission. Addressing the deficiencies in acute COPD care such as making spirometry available and measuring blood gases and providing noninvasive ventilation more regularly would provide opportunities to improve COPD outcomes. Copyright ©ERS 2016.

Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?

PubMed

Hoyer, Erik H; Padula, William V; Brotman, Daniel J; Reid, Natalie; Leung, Curtis; Lepley, Diane; Deutschendorf, Amy

2018-01-01

Hospital performance on the 30-day hospital-wide readmission (HWR) metric as calculated by the Centers for Medicare and Medicaid Services (CMS) is currently reported as a quality measure. Focusing on patient-level factors may provide an incomplete picture of readmission risk at the hospital level to explain variations in hospital readmission rates. To evaluate and quantify hospital-level characteristics that track with hospital performance on the current HWR metric. Retrospective cohort study. A total of 4785 US hospitals. We linked publically available data on individual hospitals published by CMS on patient-level adjusted 30-day HWR rates from July 1, 2011, through June 30, 2014, to the 2014 American Hospital Association annual survey. Primary outcome was performance in the worst CMS-calculated HWR quartile. Primary hospital-level exposure variables were defined as: size (total number of beds), safety net status (top quartile of disproportionate share), academic status [member of the Association of American Medical Colleges (AAMC)], National Cancer Institute Comprehensive Cancer Center (NCI-CCC) status, and hospital services offered (e.g., transplant, hospice, emergency department). Multilevel regression was used to evaluate the association between 30-day HWR and the hospital-level factors. Hospital-level characteristics significantly associated with performing in the worst CMS-calculated HWR quartile included: safety net status [adjusted odds ratio (aOR) 1.99, 95% confidence interval (95% CI) 1.61-2.45, p < 0.001], large size (> 400 beds, aOR 1.42, 95% CI 1.07-1.90, p = 0.016), AAMC alone status (aOR 1.95, 95% CI 1.35-2.83, p < 0.001), and AAMC plus NCI-CCC status (aOR 5.16, 95% CI 2.58-10.31, p < 0.001). Hospitals with more critical care beds (aOR 1.26, 95% CI 1.02-1.56, p = 0.033), those with transplant services (aOR 2.80, 95% CI 1.48-5.31,p = 0.001), and those with emergency room services (aOR 3.37, 95% CI 1.12-10.15, p = 0.031) demonstrated

Convenient Access to Professional Interpreters in the Hospital Decreases Readmission Rates and Estimated Hospital Expenditures for Patients with Limited English Proficiency

PubMed Central

Karliner, Leah S.; Pérez-Stable, Eliseo J.; Gregorich, Steven E.

2016-01-01

Background Twenty-five million people in the U.S. have limited English proficiency (LEP); this growing and aging population experiences worse outcomes when hospitalized. Federal requirements that hospitals provide language access services are very challenging to implement in the fast-paced, 24-hour hospital environment. Objective Determine if increasing access to professional interpreters improves hospital outcomes for older patients with LEP Design Natural experiment on a medicine floor of an academic hospital Participants Patients age ≥50 discharged between Jan 15, 2007–Jan 15, 2010. Exposure Dual-handset interpreter telephone at every bedside July 15, 2008–Mar 14, 2009 Outcome Measures 30-day readmission, length of stay (LOS), estimated hospital expenditures Results Of 8,077 discharges, 1,963 were for LEP, and 6,114 for English-proficient (EP) patients. There was a significant decrease in observed 30-day readmission rates for the LEP group during the 8-month intervention period compared to 18 months pre-intervention (17.8% vs. 13.4%); at the same time EP readmission rates increased (16.7% vs. 19.7%); results remained significant in adjusted analyses. This improved readmission outcome for the LEP group was not maintained during the subsequent post-intervention period when the telephones became less accessible. There was no significant intervention impact on LOS in either unadjusted or adjusted analyses. After accounting for interpreter services costs, the estimated 119 readmissions averted during the intervention period were associated with estimated monthly hospital expenditure savings of $161,404. Conclusions Comprehensive language access represents an important, high value service that all medical centers should provide in order to achieve equitable, quality healthcare for vulnerable LEP populations. PMID:27579909

Scoping review: Hospital nursing factors associated with 30-day readmission rates of patients with heart failure.

PubMed

Jun, Jin; Faulkner, Kenneth M

2018-04-01

To review the current literature on hospital nursing factors associated with 30-day readmission rates of patients with heart failure. Heart failure is a common, yet debilitating chronic illness with high mortality and morbidity. One in five patients with heart failure will experience unplanned readmission to a hospital within 30 days. Given the significance of heart failure to individuals, families and healthcare system, the Center for Medicare and Medicaid Services has made reducing 30-day readmission rates a priority. Scoping review, which maps the key concepts of a research area, is used. Published primary studies in English assessing factors related to nurses in hospitals and readmission of patients with heart failure were included. Other inclusion criteria were written in English and published in peer-reviewed journals. The search resulted in 2,782 articles. After removing duplicates and reviewing the inclusion and exclusion criteria, five articles were selected. Three nursing workforce factors emerged as follows: (i) nursing staffing, (ii) nursing care and work environment, and (iii) nurses' knowledge of heart failure. This is the first scoping review examining the association between hospital nursing factors and 30-day readmission rates of patients with heart failure. Further studies examining the extent of nursing structural and process factors influencing the outcomes of patients with heart failure are needed. Nurses are an integral part of the healthcare system. Identifying the factors related to nurses in hospitals is important to ensure comprehensive delivery of care to the chronically ill population. Hospital administrators, managers and policymakers can use the findings from this review to implement strategies to reduce 30-day readmission rates of patients with heart failure. © 2018 John Wiley & Sons Ltd.

Racial, Income, and Marital Status Disparities in Hospital Readmissions Within a Veterans-Integrated Health Care Network.

PubMed

Moore, Crystal Dea; Gao, Kelly; Shulan, Mollie

2015-12-01

Hospital readmission is an important indicator of health care quality and currently used in determining hospital reimbursement rates by Centers for Medicare & Medicaid Services. Given the important policy implications, a better understanding of factors that influence readmission rates is needed. Racial disparities in readmission have been extensively studied, but income and marital status (a postdischarge care support indicator) disparities have received limited attention. By employing three Poisson regression models controlling for different confounders on 8,718 patients in a veterans-integrated health care network, this study assessed racial, income, and martial disparities in relation to total number of readmissions. In contrast to other studies, no racial and income disparities were found, but unmarried patients experienced significantly more readmissions: 16%, after controlling for the confounders. These findings render unique insight into health care policies aimed to improve race and income disparities, while challenging policy makers to reduce readmissions for those who lack family support. © The Author(s) 2013.

Impact of Contextual Factors on Interventions to Reduce Acute Care Transfers II Implementation and Hospital Readmission Rates.

PubMed

Rask, Kimberly J; Hodge, Jennifer; Kluge, Linda

2017-11-01

Identify contextual and implementation factors impacting the effectiveness of an organizational-level intervention to reduce preventable hospital readmissions from affiliated skilled nursing facilities (SNFs). Observational study of the implementation of Interventions to Reduce Acute Care Transfers tools in 3 different cohorts. SNFs. SNFs belonging to 1 of 2 corporate entities and a group of independent SNFs that volunteered to participate in a Quality Improvement Organization (QIO) training program. Two groups of SNFs received INTERACT II training and technical assistance from corporate staff, and 1 group of SNFs received training from QIO staff. Thirty-day acute care hospital readmissions from Medicare fee-for-service claims, contextual factors using the Model for Understanding Success in Quality framework. All 3 cohorts were able to deliver the INTERACT training program to their constituent facilities through regional events as well as onsite technical assistance, but the impact on readmission rates varied. Facilities supported by the QIO and corporation A were able to achieve statistically significant reductions in 30-day readmission rates. A review of contextual factors found that although all cohorts were challenged by staff turnover and workload, corporation B facilities struggled with a less mature quality improvement (QI) culture and infrastructure. Both corporations demonstrated a strong corporate commitment to implementing INTERACT II, but differences in training strategies, QI culture, capacity, and competing pressures may have impacted the effectiveness of the training. Proactively addressing these factors may help long-term care organizations interested in reducing acute care readmission rates increase the likelihood of QI success. Copyright © 2017 AMDA – The Society for Post-Acute and Long-Term Care Medicine. All rights reserved.

Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.

PubMed

Maali, Yashar; Perez-Concha, Oscar; Coiera, Enrico; Roffe, David; Day, Richard O; Gallego, Blanca

2018-01-04

The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to investigate the factors associated with unplanned readmission in a Sydney hospital. We developed and compared validated readmission risk scores using routinely collected hospital data to predict 7-day, 30-day and 60-day all-cause unplanned readmission. A combination of gradient boosted tree algorithms for variable selection and logistic regression models was used to build and validate readmission risk scores using medical records from 62,235 live discharges from a metropolitan hospital in Sydney, Australia. The scores had good calibration and fair discriminative performance with c-statistic of 0.71 for 7-day and for 30-day readmission, and 0.74 for 60-day. Previous history of healthcare utilization, urgency of the index admission, old age, comorbidities related to cancer, psychosis, and drug-abuse, abnormal pathology results at discharge, and being unmarried and a public patient were found to be important predictors in all models. Unplanned readmissions beyond 7 days were more strongly associated with longer hospital stays and older patients with higher number of comorbidities and higher use of acute care in the past year. This study demonstrates similar predictors and performance to previous risk scores of 30-day unplanned readmission. Shorter-term readmissions may have different causal pathways than 30-day readmission, and may, therefore, require different screening tools and interventions. This study also re-iterates the need to include more informative data elements to ensure the appropriateness of these risk scores in clinical practice.

Pharmacy density in rural and urban communities in the state of Oregon and the association with hospital readmission rates.

PubMed

Bissonnette, Sarah; Goeres, Leah M; Lee, David S H

2016-01-01

To characterize the pharmacy density in rural and urban communities with hospitals and to examine its association with readmission rates. Ecologic study. Forty-eight rural and urban primary care service areas (PCSAs) in the state of Oregon. All hospitals in the state of Oregon. Pharmacy data were obtained from the Oregon Board of Pharmacy based on active licensure. Pharmacy density was calculated by determining the cumulative number of outpatient pharmacy hours in a PCSA. Oregon hospital 30-day all-cause readmission rates were obtained from the Centers for Medicare and Medicaid Services and were determined with the use of claims data of patients 65 years of age or older who were readmitted to the hospital within 30 days from July 2012 to June 2013. Readmission rates for Oregon hospitals ranged from 13.5% to 16.5%. The cumulative number of pharmacy hours in PCSAs containing a hospital ranged from 54 to 3821 hours. As pharmacy density increased, the readmission rates decreased, asymptotically approaching a predicted 14.7% readmission rate for areas with high pharmacy density. Urban hospitals were in communities likely to have more pharmacy access compared with rural hospitals. Future research should determine if increasing pharmacy access affects readmission rates, especially in rural communities. Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Process Evaluation of a Quality Improvement Project to Decrease Hospital Readmissions From Skilled Nursing Facilities.

PubMed

Meehan, Thomas P; Qazi, Daniel J; Van Hoof, Thomas J; Ho, Shih-Yieh; Eckenrode, Sheila; Spenard, Ann; Pandolfi, Michelle; Johnson, Florence; Quetti, Deborah

2015-08-01

To describe and evaluate the impact of quality improvement (QI) support provided to skilled nursing facilities (SNFs) by a Quality Improvement Organization (QIO). Retrospective, mixed-method, process evaluation of a QI project intended to decrease preventable hospital readmissions from SNFs. Five SNFs in Connecticut. SNF Administrators, Directors of Nursing, Assistant Directors of Nursing, Admissions Coordinators, Registered Nurses, Certified Nursing Assistants, Receptionists, QIO Quality Improvement Consultant. QIO staff provided training and technical assistance to SNF administrative and clinical staff to establish or enhance QI infrastructure and implement an established set of QI tools [Interventions to Reduce Acute Care Transfers (INTERACT) tools]. Baseline SNF demographic, staffing, and hospital readmission data; baseline and follow-up SNF QI structure (QI Committee), processes (general and use of INTERACT tools), and outcome (30-day all-cause hospital readmission rates); details of QIO-provided training and technical assistance; QIO-perceived barriers to quality improvement; SNF leadership-perceived barriers, accomplishments, and suggestions for improvement of QIO support. Success occurred in establishing QI Committees and targeting preventable hospital readmissions, as well as implementing INTERACT tools in all SNFs; however, hospital readmission rates decreased in only 2 facilities. QIO staff and SNF leaders noted the ongoing challenge of engaging already busy SNF staff and leadership in QI activities. SNF leaders reported that they appreciated the training and technical assistance that their institutions received, although most noted that additional support was needed to bring about improvement in readmission rates. This process evaluation documented mixed clinical results but successfully identified opportunities to improve recruitment of and provision of technical support to participating SNFs. Recommendations are offered for others who wish to conduct

Post-hospital medical respite care and hospital readmission of homeless persons.

PubMed

Kertesz, Stefan G; Posner, Michael A; O'Connell, James J; Swain, Stacy; Mullins, Ashley N; Shwartz, Michael; Ash, Arlene S

2009-01-01

Medical respite programs offer medical, nursing, and other care as well as accommodation for homeless persons discharged from acute hospital stays. They represent a community-based adaptation of urban health systems to the specific needs of homeless persons. This article examines whether post-hospital discharge to a homeless medical respite program was associated with a reduced chance of 90-day readmission compared to other disposition options. Adjusting for imbalances in patient characteristics using propensity scores, respite patients were the only group that was significantly less likely to be readmitted within 90 days compared to those released to Own Care. Respite programs merit attention as a potentially efficacious service for homeless persons leaving the hospital.

Post-Hospital Medical Respite Care and Hospital Readmission of Homeless Persons

PubMed Central

Kertesz, Stefan G.; Posner, Michael A.; O’Connell, James J.; Swain, Stacy; Mullins, Ashley N.; Michael, Shwartz; Ash, Arlene S.

2009-01-01

Medical respite programs offer medical, nursing, and other care as well as accommodation for homeless persons discharged from acute hospital stays. They represent a community-based adaptation of urban health systems to the specific needs of homeless persons. This paper examines whether post-hospital discharge to a homeless medical respite program was associated with a reduced chance of 90-day readmission compared to other disposition options. Adjusting for imbalances in patient characteristics using propensity scores, Respite patients were the only group that was significantly less likely to be readmitted within 90 days compared to those released to Own Care. Respite programs merit attention as a potentially efficacious service for homeless persons leaving the hospital. PMID:19363773

Age-related differences in the rate and diagnosis of 30-day readmission after hospitalization for acute ischemic stroke.

PubMed

Hirayama, Atsushi; Goto, Tadahiro; Faridi, Mohammad K; Camargo, Carlos A; Hasegawa, Kohei

2018-01-01

Background Little is known about the association between age and readmission within 30 days after hospitalization for acute ischemic stroke. Aim To examine the age-related differences in rate and principal reason of 30-day readmissions in patients hospitalized for acute ischemic stroke. Methods In this retrospective, population-based cohort study using State Inpatient Databases from eight US states, we identified all adults hospitalized for acute ischemic stroke. We grouped the patients into four age categories: < 65, 65-74, 75-84, and ≥85 years. Outcomes were any-cause readmission within 30 days of discharge from the index hospitalization for acute ischemic stroke and the principal diagnosis of 30-day readmission. Results We identified 620,788 hospitalizations for acute ischemic stroke. The overall 30-day readmission rate was 16.6% with an increase with advanced age. Compared to patients aged <65 years, the readmission rate was significantly higher in age 65-74 years (OR 1.19; 95% CI 1.16-1.21), in age 75-84 years (OR 1.29; 95% CI 1.27-1.31), and in ≥ 85 years (OR 1.24; 95% CI 1.22-1.27; all P<0.001). There was heterogeneity in the age-readmission rate association between men and women (P interaction  < 0.001). Overall, 45.8% of readmissions were assigned stroke-related conditions or rehabilitation care. Compared to younger adults, older adults were more likely to present with non-stroke-related conditions (46.1% in < 65 years, 50.6% in 65-74 years, 57.1% in 75-84 years, and 62.9% in ≥ 85 years; P<0.001). Conclusions Advanced age was associated with a higher 30-day readmission rate after acute ischemic stroke. Compared with younger adults, older adults were more likely to be readmitted for non-stroke-related conditions.

The effect of a collaborative pharmacist-hospital care transition program on the likelihood of 30-day readmission.

PubMed

Kirkham, Heather S; Clark, Bobby L; Paynter, Jacquelyn; Lewis, Geraint H; Duncan, Ian

2014-05-01

The effect of a collaborative pharmacist-hospital care transition program on the likelihood of 30-day readmission was evaluated. This retrospective cohort study was conducted in two acute care hospitals within the same hospital system in the southeastern United States. One hospital initiated a care transition program in January 2011; the other hospital did not have such a program. All patients who were discharged from either hospital to home from January 1, 2010, through December 31, 2011, were included in the study. The two key program components included bedside delivery of postdischarge medications and follow-up telephone calls two to three days after discharge. The likelihood of readmission was assessed using multiple logistic regression. Over the 2-year study period, 19,659 unique patients had 26,781 qualifying index admissions, 2,523 of which resulted in a readmission within 30 days of discharge. After adjusting for various demographic and clinical characteristics, the usual care group (i.e., patients who did not participate in the program) had nearly twice the odds of readmission within 30 days (odds ratio [OR], 1.90; 95% confidence interval [CI], 1.35-2.67), compared with the intervention group (i.e., program participants). For patients age 65 years or older, those in the usual care group had a sixfold increase in the odds of a 30-day readmission (OR, 6.05; 95% CI, 1.92-19.00) relative to those in the intervention group. A care transition program was associated with a lower likelihood of readmission and had a greater effect on older patients.

Hospital mortality and thirty day readmission among patients with non-acute myocardial infarction related cardiogenic shock.

PubMed

Shah, Mahek; Patel, Brijesh; Tripathi, Byomesh; Agarwal, Manyoo; Patnaik, Soumya; Ram, Pradhum; Patil, Shantanu; Shin, Jooyoung; Jorde, Ulrich P

2018-06-10

Cardiogenic shock (CS) in absence of acute myocardial infarction (AMI) has significant morbidity and mortality. This population of patients has been excluded from prior major randomized trials and observational studies. We included patients with CS in absence of AMI from the 2013-14 HCUP's National Readmission Database. 30-day readmissions were studied and etiology for readmission was identified by using ICD-9CM codes in primary diagnosis field. Multivariable mixed effect logistic regression models were created to identify predictors of 30-day readmission and in-hospital mortality, respectively. We studied 38,198 index admissions with non-AMI CS, with an in-hospital mortality of 35.4%. Mean age, length and cost of stay were 63.6 years, 16.9 days and 69,947$, respectively among survivors of index admission. Among those discharged, 22.6% were readmitted within 30 days with >50% readmissions occurring within 11-days. Cardiovascular etiologies (42.3%), especially heart failure (24.0%) comprised the commonest reason for readmission. Among non-cardiac causes were infectious (11.7%) and respiratory (9.2%) etiologies. Older age (50-64 years odds ratio:1.29, 65-79 years, OR:1.59, ≥80 years OR:2.69), ventilator use (OR:4.25), sepsis (OR:1.12), use of short term devices (intra-aortic balloon pump OR:2.67, Impella/TandemHeart OR:4.84, extracorporeal membrane oxygenation OR:3.68) and non-ischemic cardiomyopathy(OR:0.65) were among the predictors of in-hospital mortality. Older age (65-79 years, OR:1.25, ≥80 years OR:1.41), male sex (OR:1.08), and ventilator use (OR:1.21) predicted higher 30-day readmission. Both, in-hospital mortality and 30-day readmission among those admitted for non-AMI CS were significantly elevated. The majority of readmissions were due to non-cardiovascular causes. Identifying high-risk factors may help devise strategies to improve quality of care and reduce adverse outcome rates. Copyright © 2017. Published by Elsevier B.V.

A meta-analysis of the effect of hospital-based case management on hospital length-of-stay and readmission.

PubMed

Kim, Young-Ju; Soeken, Karen L

2005-01-01

Although many hospital-based case management (CM) interventions have been studied, there is little work summarizing the effectiveness of these studies. The purpose of this study was to investigate the effect of hospital-based CM compared with usual care on length of hospital stay and readmission rate. A meta-analytic method was employed to analyze the effect sizes of CM intervention on outcomes. Eligible studies were retrieved using computerized database searches, footnote chasing, and contact with content experts. The authors reviewed the final 12 studies, and the effect size, 95% confidence interval (CI), sensitivity, homogeneity, and publication bias were analyzed. The overall average weighted effect size on length of stay (LOS) was 0.094 with a 95% CI of -0.032 to 0.220. The overall odds ratio for readmission was 0.87 with a 95% CI of 0.69 to 1.04. Overall, hospital-based CM interventions were not significantly effective in reducing LOS and readmissions. However, CM for patients with heart failure (effect size of 0.241 with a 95% CI of 0.012 to 0.470) was significantly effective in reducing LOS, although it was not effective for stroke patients (effect size of -0.226 with a 95% CI of -0.542 to 0.089) and frail elders (effect size of 0.126 with a 95% CI of -0.073 to 0.324). Analysis indicated that in this meta-analysis publication bias was unlikely. The findings of this meta-analysis demonstrate a 6% decrease in readmission rate for patients who received hospital-based CM interventions. Further meta-analytic studies are needed to investigate the effectiveness of CM on other outcomes.

Discharge clinical characteristics and 60-day readmission in patients hospitalized with heart failure.

PubMed

Anderson, Kelley M

2014-01-01

Heart failure is a clinical syndrome that incurs a high prevalence, mortality, morbidity, and economic burden in our society. Patients with heart failure may experience hospitalization because of an acute exacerbation of their condition. Recurrent hospitalizations soon after discharge are an unfortunate occurrence in this patient population. The purpose of this study was to explore the clinical and diagnostic characteristics of individuals hospitalized with a primary diagnosis of heart failure at the time of discharge and to compare the association of these indicators in individuals who did and did not experience a heart failure hospitalization within 60 days of the index stay. The study is a descriptive, correlational, quantitative study using a retrospective review of 134 individuals discharged with a primary diagnosis of heart failure. Records were reviewed for sociodemographic characteristics, health histories, clinical assessment findings, and diagnostic information. Significant predictors of 60-day heart failure readmissions were dyspnea (β = 0.579), crackles (β = 1.688), and assistance with activities of daily living (β = 2.328), independent of age, gender, and multiple other factors. By using hierarchical logistical regression, a model was derived that demonstrated the ability to correctly classify 77.4% of the cohort, 78.2% of those who did have a readmission (sensitivity of the prediction), and 76.7% of the subjects in whom the predicted event, readmission, did not occur (specificity of the prediction). Hospitalizations for heart failure are markers of clinical instability. Future events after hospitalization are common in this patient population, and this study provides a novel understanding of clinical characteristics at the time of discharge that are associated with future outcomes, specifically 60-day heart failure readmissions. A consideration of these characteristics provides an additional perspective to guide clinical decision making and the

Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time.

PubMed

Dharmarajan, Kumar; Qin, Li; Lin, Zhenqiu; Horwitz, Leora I; Ross, Joseph S; Drye, Elizabeth E; Keshawarz, Amena; Altaf, Faseeha; Normand, Sharon-Lise T; Krumholz, Harlan M; Bernheim, Susannah M

2016-07-01

Programs from the Centers for Medicare and Medicaid Services simultaneously promote strategies to lower hospital admissions and readmissions. However, there is concern that hospitals in communities that successfully reduce admissions may be penalized, as patients that are ultimately hospitalized may be sicker and at higher risk of readmission. We therefore examined the relationship between changes from 2010 to 2013 in admission rates and thirty-day readmission rates for elderly Medicare beneficiaries. We found that communities with the greatest decline in admission rates also had the greatest decline in thirty-day readmission rates, even though hospitalized patients did grow sicker as admission rates declined. The relationship between changing admission and readmission rates persisted in models that measured observed readmission rates, risk-standardized readmission rates, and the combined rate of readmission and death. Our findings suggest that communities can reduce admission rates and readmission rates in parallel, and that federal policy incentivizing reductions in both outcomes does not create contradictory incentives. Project HOPE—The People-to-People Health Foundation, Inc.

[Readmission to an Adolescent Psychiatry Inpatient Unit: Readmission Rates and Risk Factors].

PubMed

Mendes, Patricia; Fonseca, Maria; Aguiar, Inês; Pangaio, Nuno; Confraria, Luísa; Queirós, Otília; Saraiva, Joana; Monteiro, Pedro; Guerra, João

2017-11-29

Most mental disorders have a chronic evolution and therefore a certain amount of psychiatric readmissions are inevitable. Several studies indicate that over 25% of child and adolescent inpatients were readmitted within one year of discharge. Several risk factors for psychiatric readmissions have been reported in the literature, but the history of repeated readmissions is the most consistent risk factor. Our aim is to calculate the readmission rates at 30 days and 12 months after discharge and to identify associated risk factors. The authors consulted the clinical files of patients admitted to the Inpatient Unit between 2010 and 2013, in order to calculate the readmission rates at 30 days and at 12 months. The demographic and clinical characteristics of the readmitted patients were analyzed and compared with a second group of patients with no hospital readmissions, in order to investigate possible predictors of readmission. A total of 445 patients were admitted to our inpatient unit between 2010 and 2013. Six adolescents were readmitted in a 30 days period (1.3%) and 52 were readmitted in a 12 month period after discharge (11.5%). Duration of the hospitalization and the previous number of mental health admissions were significant predictors of future hospital readmissions (p = 0.04 and p = 0.014). The low readmission rates may reflect the positive clinical and sociofamilial support being provided after discharge. Rehospitalisation is considered a fundamental target for intervention concerning prevention and intervention in mental healthcare. Thus, knowledge regarding their minimisation is crucial.

Impact of a care pathway for COPD on adherence to guidelines and hospital readmission: a cluster randomized trial

PubMed Central

Vanhaecht, Kris; Lodewijckx, Cathy; Sermeus, Walter; Decramer, Marc; Deneckere, Svin; Leigheb, Fabrizio; Boto, Paulo; Kul, Seval; Seys, Deborah; Panella, Massimiliano

2016-01-01

Purpose Current in-hospital management of exacerbations of COPD is suboptimal, and patient outcomes are poor. The primary aim of this study was to evaluate whether implementation of a care pathway (CP) for COPD improves the 6 months readmission rate. Secondary outcomes were the 30 days readmission rate, mortality, length of stay and adherence to guidelines. Patients and methods An international cluster randomized controlled trial was performed in Belgium, Italy and Portugal. General hospitals were randomly assigned to an intervention group where a CP was implemented or a control group where usual care was provided. The targeted population included patients with COPD exacerbation. Results Twenty-two hospitals were included, whereof 11 hospitals (n=174 patients) were randomized to the intervention group and 11 hospitals (n=168 patients) to the control group. The CP had no impact on the 6 months readmission rate. However, the 30 days readmission rate was significantly lower in the intervention group (9.7%; 15/155) compared to the control group (15.3%; 22/144) (odds ratio =0.427; 95% confidence interval 0.222–0.822; P=0.040). Performance on process indicators was significantly higher in the intervention group for 2 of 24 main indicators (8.3%). Conclusion The implementation of this in-hospital CP for COPD exacerbation has no impact on the 6 months readmission rate, but it significantly reduces the 30 days readmission rate. PMID:27920516

Risk factors of hospitalization and readmission of patients with COPD in Hong Kong population: analysis of hospital admission records.

PubMed

Chan, Frank W K; Wong, Fiona Y Y; Yam, Carrie H K; Cheung, Wai-ling; Wong, Eliza L Y; Leung, Michael C M; Goggins, William B; Yeoh, Eng-kiong

2011-08-10

Chronic Obstructive Pulmonary Disease (COPD) accounts for around 4% of all public hospital annual admissions in Hong Kong. By year 2020, COPD will be ranked fifth among the conditions with the highest burden to the society. This study identifies admission and unplanned readmission of COPD patients, factors affecting unplanned readmission, and estimates its cost burden on the public healthcare system in Hong Kong. This is a retrospective study analyzing COPD admissions to all public hospitals in Hong Kong. All admission episodes to acute medical wards with the principal diagnosis of COPD (ICD-9:490-492, 494-496) from January 2006 to December 2007 were captured. Unplanned readmission was defined as an admission which followed a previous admission within 30 days. In 2006 and 2007, 65497 (8.0%) of episodes from medical wards were identified as COPD admissions, and among these, 15882 (24.2%) were unplanned readmissions. The mean age of COPD patients was 76.81 ± 9.59 years and 77% were male. Unplanned readmission was significantly associated with male gender, receiving public assistance and living in nursing homes while no association was found with the Charlson comorbidity index. Patients who were readmitted unplanned had a significant longer acute length of stay (β = 0.3894, P < 0.001) after adjustment for other covariates. Unplanned readmission of COPD patients has a huge impact on the public healthcare system. A systematic approach in programme provision and a good discharge planning process targeting on COPD patients who are at high risk of unplanned readmission are essential.

A longitudinal analysis of the impact of hospital service line profitability on the likelihood of readmission.

PubMed

Navathe, Amol S; Volpp, Kevin G; Konetzka, R Tamara; Press, Matthew J; Zhu, Jingsan; Chen, Wei; Lindrooth, Richard C

2012-08-01

Quality of care may be linked to the profitability of admissions in addition to level of reimbursement. Prior policy reforms reduced payments that differentially affected the average profitability of various admission types. The authors estimated a Cox competing risks model, controlling for the simultaneous risk of mortality post discharge, to determine whether the average profitability of hospital service lines to which a patient was admitted was associated with the likelihood of readmission within 30 days. The sample included 12,705,933 Medicare Fee for Service discharges from 2,438 general acute care hospitals during 1997, 2001, and 2005. There was no evidence of an association between changes in average service line profitability and changes in readmission risk, even when controlling for risk of mortality. These findings are reassuring in that the profitability of patients' admissions did not affect readmission rates, and together with other evidence may suggest that readmissions are not an unambiguous quality indicator for in-hospital care.

Does hospital readmission following colorectal cancer resection and enhanced recovery after surgery affect long term survival?

PubMed

Curtis, N J; Noble, E; Salib, E; Hipkiss, R; Meachim, E; Dalton, R; Allison, A; Ockrim, J; Francis, N K

2017-08-01

Hospital readmission is undesirable for patients and care providers as this can affect short-term recovery and carries financial consequences. It is unknown if readmission has long-term implications. We aimed to investigate the impact of 30-day readmission on long-term overall survival (OS) following colorectal cancer resection within enhanced recovery after surgery (ERAS) care and explore the reasons for and the severity and details of readmission episodes. A dedicated, prospectively populated database was reviewed. All patients were managed within an established ERAS programme. Five-year OS was calculated using the Kaplan-Meier method. The number, reason for and severity of 30-day readmissions were classified according to the Clavien-Dindo (CD) system, along with total (initial and readmission) length of stay (LoS). Multivariate analysis was used to identify factors predicting readmission. A total of 1023 consecutive patients underwent colorectal cancer resection between 2002 and 2015. Of these, 166 (16%) were readmitted. Readmission alone did not have a significant impact on 5-year OS (59% vs 70%, P = 0.092), but OS was worse in patients with longer total LoS (20 vs 14 days, P = 0.04). Of the readmissions, 121 (73%) were minor (CD I-II) and 27 (16%) required an intervention of which 16 (10%) were returned to theatre. Gut dysfunction 32 (19%) and wound complications 23 (14%) were the most frequent reasons for readmission. Prolonged initial LoS, rectal cancer and younger age predicted for hospital readmission. Readmission does not have a significant impact on 5-year OS. A broad range of conditions led to readmission, with the majority representing minor complications. Colorectal Disease © 2017 The Association of Coloproctology of Great Britain and Ireland.

The impact of patient education and shared decision making on hospital readmissions for COPD

PubMed Central

Collinsworth, Ashley W; Brown, Rachel M; James, Cameron S; Stanford, Richard H; Alemayehu, Daniel; Priest, Elisa L

2018-01-01

Purpose Education on the self-management of COPD has been shown to improve patients’ quality of life and reduce hospital admissions. This study aimed to assess the feasibility of a pilot, pragmatic COPD Chronic Care (CCC) education program led by registered respiratory therapists and determine the CCC’s impact on hospital readmissions, patient activation, and health status. Patients and methods This was a prospective, randomized, pilot study of inpatients with COPD admitted to a US community hospital between August 2014 and February 2016. In total, 308 patients were randomized 1:1 to receive standard care with or without the CCC program. Outcomes included the number of patients completing the program, frequency and time to first all-cause and COPD-related hospital readmissions, and changes in the Patient Activation Measure (PAM) and COPD Assessment Test (CAT). Results Overall, 37% (n=52) of patients in the CCC group and 29% (n=48) of patients in the control group remained in the study for 6 months and completed all follow-up phone calls. In total, 74% (n=105) of patients in the CCC group and 69% (n=115) of patients in the control group had at least one readmission (P=0.316). The time to first all-cause and COPD-related readmission appeared shorter for patients in the CCC group compared with the control group (mean [standard deviation]: 50.2 [54.5] vs 59.9 [63.1] days and 95.1 [80.2] vs 113.7 [82.4] days, respectively; both P=0.231). Patients experienced significant improvement from baseline in mean PAM (both groups) and CAT (CCC group) scores. Conclusion Utilizing respiratory therapists to lead a chronic care education program for COPD in a community hospital was feasible. Although CCC patients showed improvements in perceived symptom severity, they were readmitted sooner than control group patients. However, the program did not impact the frequency of hospital readmissions. A more comprehensive disease management program may be needed to improve outcomes. PMID

The impact of patient education and shared decision making on hospital readmissions for COPD.

PubMed

Collinsworth, Ashley W; Brown, Rachel M; James, Cameron S; Stanford, Richard H; Alemayehu, Daniel; Priest, Elisa L

Education on the self-management of COPD has been shown to improve patients' quality of life and reduce hospital admissions. This study aimed to assess the feasibility of a pilot, pragmatic COPD Chronic Care (CCC) education program led by registered respiratory therapists and determine the CCC's impact on hospital readmissions, patient activation, and health status. This was a prospective, randomized, pilot study of inpatients with COPD admitted to a US community hospital between August 2014 and February 2016. In total, 308 patients were randomized 1:1 to receive standard care with or without the CCC program. Outcomes included the number of patients completing the program, frequency and time to first all-cause and COPD-related hospital readmissions, and changes in the Patient Activation Measure (PAM) and COPD Assessment Test (CAT). Overall, 37% (n=52) of patients in the CCC group and 29% (n=48) of patients in the control group remained in the study for 6 months and completed all follow-up phone calls. In total, 74% (n=105) of patients in the CCC group and 69% (n=115) of patients in the control group had at least one readmission ( P =0.316). The time to first all-cause and COPD-related readmission appeared shorter for patients in the CCC group compared with the control group (mean [standard deviation]: 50.2 [54.5] vs 59.9 [63.1] days and 95.1 [80.2] vs 113.7 [82.4] days, respectively; both P =0.231). Patients experienced significant improvement from baseline in mean PAM (both groups) and CAT (CCC group) scores. Utilizing respiratory therapists to lead a chronic care education program for COPD in a community hospital was feasible. Although CCC patients showed improvements in perceived symptom severity, they were readmitted sooner than control group patients. However, the program did not impact the frequency of hospital readmissions. A more comprehensive disease management program may be needed to improve outcomes.

Association of the 2011 ACGME resident duty hour reforms with mortality and readmissions among hospitalized Medicare patients.

PubMed

Patel, Mitesh S; Volpp, Kevin G; Small, Dylan S; Hill, Alexander S; Even-Shoshan, Orit; Rosenbaum, Lisa; Ross, Richard N; Bellini, Lisa; Zhu, Jingsan; Silber, Jeffrey H

2014-12-10

Patient outcomes associated with the 2011 Accreditation Council for Graduate Medical Education (ACGME) duty hour reforms have not been evaluated at a national level. To evaluate the association of the 2011 ACGME duty hour reforms with mortality and readmissions. Observational study of Medicare patient admissions (6,384,273 admissions from 2,790,356 patients) to short-term, acute care, nonfederal hospitals (n = 3104) with principal medical diagnoses of acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure or a Diagnosis Related Group classification of general, orthopedic, or vascular surgery. Of the hospitals, 96 (3.1%) were very major teaching, 138 (4.4%) major teaching, 442 (14.2%) minor teaching, 443 (14.3%) very minor teaching, and 1985 (64.0%) nonteaching. Resident-to-bed ratio as a continuous measure of hospital teaching intensity. Change in 30-day all-location mortality and 30-day all-cause readmission, comparing patients in more intensive relative to less intensive teaching hospitals before (July 1, 2009-June 30, 2011) and after (July 1, 2011-June 30, 2012) duty hour reforms, adjusting for patient comorbidities, time trends, and hospital site. In the 2 years before duty hour reforms, there were 4,325,854 admissions with 288,422 deaths and 602,380 readmissions. In the first year after the reforms, accounting for teaching hospital intensity, there were 2,058,419 admissions with 133,547 deaths and 272,938 readmissions. There were no significant postreform differences in mortality accounting for teaching hospital intensity for combined medical conditions (odds ratio [OR], 1.00; 95% CI, 0.96-1.03), combined surgical categories (OR, 0.99; 95% CI, 0.94-1.04), or any of the individual medical conditions or surgical categories. There were no significant postreform differences in readmissions for combined medical conditions (OR, 1.00; 95% CI, 0.97-1.02) or combined surgical categories (OR, 1.00; 95% CI, 0.98-1.03). For the

What are the Rates, Reasons, and Risk Factors of 90-day Hospital Readmission After Lumbar Discectomy?: An Institutional Experience.

PubMed

Kohls, Morgan R; Jain, Nikhil; Khan, Safdar N

2018-06-07

This is a retrospective cohort study. To report the rate, reasons, and risk factors for 90-day readmissions after lumbar discectomy at an academic medical center. Several studies have reported complications and readmissions after spine surgery; however, only one previous study has focused specifically on lumbar discectomy. As the patient profile and morbidity of various spine procedures is different, focus on procedure-specific complications and readmissions will be beneficial. Patients who underwent lumbar discectomy for unrelieved symptoms of prolapsed intervertebral disk and had at least 90 days of follow-up at an academic institution (2013-2014) were included. Retrospective review of electronic medical record was performed to record demographic and clinical profile of patients. Details of lumbar discectomy, index hospital stay, discharge disposition, hospital readmission within 90 days, reason for readmission and treatment given have been reported. Risk factors for hospital readmission were analyzed by multivariate logistic regression analysis. A total of 356 patients with a mean age of 45.0±13.8 years were included. The 90-day readmission rate was 5.3% (19/360) of which two-third patients were admitted within 30 days giving a 30-day readmission rate of 3.7% (13/356). The top 2 primary reasons for readmission included back and/or leg pain, numbness, or tingling (42.9%), and persistent cerebrospinal fluid leak or seroma (25.0%). On adjusted analysis, risk factors associated with higher risk of readmission included incidental durotomy [odds ratio (OR), 26.2; 95% confidence interval (CI), 5.3-129.9] and discharge to skilled nursing facility/inpatient rehabilitation (OR, 25.2; 95% CI, 2.7-235.2). Increasing age was a negative predictor of readmission (OR, 0.95; 95% CI, 0.91-0.99). Incidental durotomy, younger age, and discharge to nursing facility were associated with higher risk of 90-day hospital readmission after lumbar discectomy. As compared with extensive

The quality of hospital work environments and missed nursing care is linked to heart failure readmissions: a cross-sectional study of US hospitals

PubMed Central

Carthon, J Margo Brooks; Lasater, Karen B; Sloane, Douglas M; Kutney-Lee, Ann

2015-01-01

Introduction Threats to quality and patient safety may exist when necessary nursing care is omitted. Empirical research is needed to determine how missed nursing care is associated with patient outcomes. Aim The aim of this study was to examine the relationship between missed nursing care and hospital readmissions. Methods Cross-sectional examination, using three linked data sources—(1) nurse survey, (2) patient discharge data from three states (California, New Jersey and Pennsylvania) and (3) administrative hospital data— from 2005 to 2006. We explored the incidence of 30-day readmission for 160 930 patients with heart failure in 419 acute care hospitals in the USA. Logistic regression was used to assess the effect of missed care on the odds of readmission, adjusting for patient and hospital characteristics. Results The most frequently missed nursing care activities across all hospitals in our sample included talking to and comforting patients (42.0%), developing and updating care plans (35.8%) and educating patients and families (31.5%). For 4 of the 10 studied care activities, each 10 percentage-point increase in the number of nurses reporting having missed the activity was associated with an increase in the odds of readmission by 2–8% after adjusting for patient and hospital characteristics. However, missed nursing care was no longer a significant predictor of readmission once adjusting for the nurse work environment, except in the case of the delivery of treatments and procedures (OR 1.08, 95% CI 1.02 to 1.14). Conclusions Missed care is an independent predictor of heart failure readmissions. However, once adjusting for the quality of the nurse work environment, this relationship is attenuated. Improvements in nurses’ working conditions may be one strategy to reduce care omissions and improve patient outcomes. PMID:25672342

Patient Body Mass Index is an Independent Predictor of 30-Day Hospital Readmission After Elective Spine Surgery.

PubMed

Elsamadicy, Aladine A; Adogwa, Owoicho; Vuong, Victoria D; Mehta, Ankit I; Vasquez, Raul A; Cheng, Joseph; Karikari, Isaac O; Bagley, Carlos A

2016-12-01

Hospital readmission within 30 days of index surgery is receiving increased scrutiny as an indicator of poor quality of care. Reducing readmissions achieves the dual benefit of improving quality and reducing costs. With the growing prevalence of obesity, understanding its impact on 30-day unplanned readmissions and patients' perception of health status is important for appropriate risk stratification of patients. The aim of this study was to determine if obesity is an independent risk factor for unplanned 30-day readmissions after elective spine surgery. The medical records of 500 patients (nonobese, n = 281; obese, n = 219) undergoing elective spine surgery at a major academic medical center were reviewed. Preoperative body mass index (BMI) was measured on all patients. BMI that was ≥30 kg/m 2 was classified as obese. Patient demographics, comorbidities, and postoperative complication rates were collected. The primary outcome investigated was unplanned all-cause 30-day hospital readmission. The association between preoperative obesity and 30-day readmission rate was assessed via multivariate logistic regression analysis. Baseline characteristics and operative variables and complication profiles were similar between both cohorts. Overall, 8.6% of patients were readmitted within 30 days of discharge; obese patients experienced a 2-fold increase in 30-day readmission rates (obese 12.33% vs. nonobese 5.69%, P = 0.01). In a multivariate logistic regression analysis, preoperative obesity (BMI ≥30 kg/m 2 ) was found to be an independent predictor of 30-day readmission after elective spine surgery (P = 0.001). Preoperative obesity is an independent risk factor for readmission within 30 days of discharge after elective spine surgery. In a cost-conscious health care climate, preoperative BMI can identify patients at risk for early unplanned hospital readmission. Copyright © 2016 Elsevier Inc. All rights reserved.

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

PubMed

Jamei, Mehdi; Nisnevich, Aleksandr; Wetchler, Everett; Sudat, Sylvia; Liu, Eric

2017-01-01

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health's EHR system, we built and tested an artificial neural network (NN) model based on Google's TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV) of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH) data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions.

One third of hospital costs for atherothrombotic disease are attributable to readmissions: a linked data analysis.

PubMed

Atkins, Emily R; Geelhoed, Elizabeth A; Knuiman, Matthew; Briffa, Tom G

2014-08-08

Cardiovascular disease is the most frequent cause of death in Australia, with an associated cost burden of 11% of Australian annual health expenditure of which 40% is for hospital admissions. We investigated health outcomes and the components of hospital expenditure in the two years after an atherothrombotic disease admission to a tertiary hospital in an Australian setting. Using data linkage we analysed two years of hospitalisation data and death records of all men and women aged 35-84 years with an admission to a Western Australian tertiary hospital for atherothrombotic disease in 2007. Costs were identified by matching the Australian refined diagnostic related group on the admission records to the published schedules of public and private hospital costs for the period of interest, and converted to 2013 Australian dollars. Of 6172 patients studied (74% coronary, 20% cerebrovascular, 6% peripheral), 783 (13%) died during follow-up and 174 of these were in hospital case-fatalities at index. Thirty-two percent of patients (n = 1965) accounted for 3172 readmissions to hospital with one in three having multiple hospitalisations. The hazard ratio of atherothrombotic disease readmission was 1.45 (95% CI 1.27, 1.66) in those with more than one vascular territory affected compared to those with only one territory affected after controlling for age, sex, comorbidity, admission type, procedures, and episode length of stay. The total index plus 2-year admission cost for atherothrombotic disease was calculated at $101 million; $71 million for index, and $30 million for readmissions. Among patients hospitalised with atherothrombotic disease, the cost of related rehospitalisations within 24 months is almost a third of the total. Much of the readmission costs fell within the first year. Whether readmissions and cost associated with atherothrombotic disease can be lowered through secondary prevention measures requires further investigation.

Residents examine factors associated with 30-day, same-cause hospital readmissions on an internal medicine service.

PubMed

Moran, Jennifer; Colbert, Colleen Y; Song, Juhee; Hull, Joshua; Rajan, Sabitha; Varghees, Sunita; Arroliga, Alejandro C; Reddy, Santosh P

2013-01-01

In recent years, there has been increased interest in stemming the tide of hospital readmissions in an attempt to improve quality of care. This study presents the Phase I results of a resident-led quality improvement initiative to determine the percentage of and risk factors for same-cause readmissions (SCRs; defined as hospital readmission within 30 days of hospital discharge for treatment of the same condition) to the internal medicine service of a multispecialty teaching hospital in central Texas. Results indicate that patients diagnosed with chronic obstructive pulmonary disease/asthma or anemia may be at increased risk for SCRs. Those patients who are insured by Medicaid and those who require assistance from social services also demonstrated an increased risk for SCRs. This study appears to be the first resident-led initiative in the field to examine 30-day SCRs to an internal medicine service for demographic and clinical risk factors.

Age-Related Differences in the Rate, Timing, and Diagnosis of 30-Day Readmissions in Hospitalized Adults With Asthma Exacerbation.

PubMed

Hasegawa, Kohei; Gibo, Koichiro; Tsugawa, Yusuke; Shimada, Yuichi J; Camargo, Carlos A

2016-04-01

Reducing hospital readmissions has attracted attention from many stakeholders. However, the characteristics of 30-day readmissions after asthma-related hospital admissions in adults are not known. It is also unclear whether older adults are at higher risk of 30-day readmission. To investigate the rate, timing, and principal diagnosis of 30-day readmissions in adults with asthma and to determine age-related differences. Retrospective cohort study of adults hospitalized for asthma exacerbation using the population-based inpatient samples of three states (California, Florida, and Nebraska) from 2005 through 2011. Patients were categorized into three age groups: younger (18-39 years), middle aged (40-64 years), and older (≥ 65 years) adults. Outcomes were 30-day all-cause readmission rate, timing, and principal diagnosis of readmission. Of 301,164 asthma-related admissions at risk for 30-day readmission, readmission rate was 14.5%. Compared with younger adults, older adults had significantly higher readmission rates (10.1% vs 16.5%; OR, 2.15 [95% CI, 2.07-2.23]; P < .001). The higher rate attenuated with adjustment (OR, 1.19 [95% CI, 1.13-1.26]; P < .001), indicating that most of the age-related difference is explained by sociodemographics and comorbidities. For all age groups, readmission rate was highest in the first week after discharge and declined thereafter. Overall, only 47.1% of readmissions were assigned respiratory diagnoses (asthma, COPD, pneumonia, and respiratory failure). Older adults were more likely to present with nonrespiratory diagnoses (41.7% vs 53.8%; P < .001). After asthma-related admission, 14.5% of patients had 30-day readmission with wide range of principal diagnoses. Compared with younger adults, older adults had higher 30-day readmission rates and proportions of nonrespiratory diagnoses. Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Five-Year Mortality After Transient Ischemic Attack: Focus on Cardiometabolic Comorbidity and Hospital Readmission.

PubMed

Yousufuddin, Mohammed; Young, Nathan; Keenan, Lawrence; Olson, Tammy; Shultz, Jessica; Doyle, Taylor; Ahmmad, Eimad M; Arumaithurai, Kogulavadanan; Takahashi, Paul; Murad, Mohammad Hassan

2018-03-01

We aimed at providing estimates of mortality associated with cardiometabolic comorbidity and incident readmission from cardiometabolic as compared with noncardiometabolic conditions after a first transient ischemic attack. Between 2000 and 2015, patients hospitalized for a first transient ischemic attack were examined for cardiometabolic comorbidities (diabetes mellitus, coronary artery disease, heart failure, and atrial fibrillation), 5-year incident hospitalization, and time to death. Of 251 patients with transient ischemic attack, 134 (53%) had at least 1 and 55 (22%) had at least 2 cardiometabolic conditions. By 5 years, 491 readmissions (134 [27%] cardiometabolic and 357 [73%] noncardiometabolic) and 75 deaths (27 [36%] cardiometabolic and 47 [64%] noncardiometabolic) were observed. Mortality was increased with any concurrent cardiometabolic comorbidity (hazard ratio, 1.89; 95% confidence interval, 1.17-3.03; P =0.0089) with multiplicative mortality risk from a combination of coronary artery disease and heart failure. Each hospitalization was associated with a 1.5-fold risk of death (95% confidence interval, 1.37-1.64; P <0.0001). Risk of cardiometabolic and noncardiometabolic mortality was correlated with the corresponding category-specific readmission. Among patients hospitalized for first transient ischemic attack, 5-year mortality is associated with concurrent cardiometabolic comorbidity and rates of subsequent hospitalization. © 2018 American Heart Association, Inc.

Optimising recovery after surgery: Predictors of early discharge and hospital readmission.

PubMed

Carter, Jonathan; Philp, Shannon; Wan, King M

2016-10-01

Fast track surgery (FTS) programs minimise the stress response after surgery and allow for enhanced recovery. To document the frequency and incidence of adverse events in patients enrolled on a FTS program and to investigate factors associated with shorter length of stay and readmission to hospital. A seven-year updated surgical audit of patients undergoing laparotomy for suspected or confirmed malignancy on a FTS program. Five hundred and fifty patients comprise the study group. Average age and body mass index (BMI) were 55 years and 28, respectively. Mean length of stay (LOS) was 3.4 days with 194 (35%) patients discharged on day 2. Six (1%) patients had confirmed venous thromboembolism (VTE), three of whom were diagnosed on pre-operative imaging. Overall, transfusion rate was 5%. Adverse events in decreasing frequency were hospital readmission (4%) and significant wound infection (3%). All other adverse events were uncommon with rates <0.5%. Factors associated with a discharge on or after day 3 include age, pathology, Eastern Cooperative Oncology Group performance status, incision type, operating time, blood transfusion and cyclo-oxygenase 2 inhibitors. Factors associated with hospital readmission include longer operating time, performance of lymph node sampling/dissection, longer LOS, development of wound infection, febrile morbidity, return to the operating room, unplanned intensive care unit admission and presence of other complications. Patients managed by a FTS protocol can expect enhanced outcomes when compared to historical controls. © 2016 The Royal Australian and New Zealand College of Obstetricians and Gynaecologists.

Subarachnoid Hemorrhage and Readmissions: National Rates, Causes, Risk Factors, and Outcomes in 16,001 Hospitalized Patients.

PubMed

Rumalla, Kavelin; Smith, Kyle A; Arnold, Paul M; Mittal, Manoj K

2018-02-01

The acute complications of aneurysmal subarachnoid hemorrhage (aSAH) often lead to readmissions, which are linked to hospital reimbursement. The national rates, causes, risk factors, and outcomes associated with 30-day and 90-day readmission after aSAH have not previously been reported. The Nationwide Readmissions Database was queried from January to September 2013 for all patients (age ≥18 years) with a diagnosis of aSAH. Data points included demographics, comorbidities, complications, and discharge outcomes. Causes and risk factors for 30-day and 90-day readmission were identified in univariate and multivariable analysis. In 12,777 patients discharged alive after hospitalization for aSAH, 962 (7.5%) were readmitted within 30 days and 2153 (16.7%) within 90 days. Common causes of readmission included stroke, hydrocephalus, septicemia, and headache. At 30-day and 90-day readmission, 39.7% and 51.2% of patients with diagnosis of hydrocephalus underwent ventriculoperitoneal shunt placement, respectively. In multivariable analysis, cannabis use and diabetes were predictors of both 30-day and 90-day readmission and older patients were uniquely susceptible to 30-day readmissions. Risk factors for 90-day readmission included Medicare insurance, hypothyroidism, initial discharge to skilled nursing facility, and several index complications including bowel obstruction, gastrostomy, acute lung injury, and cerebral edema. Average cost and length of stay were calculated at 30-day ($16.647, 7.1 days) and 90-day readmission ($17,926, 6.7 days). Mortality was 2.8% within 30 days and 3.8% within 90 days. Many readmissions occur outside the 30-day follow-up period in patients subarachnoid hemorrhage and possess unique risk factors, which may help identify high-risk patients. Copyright © 2017 Elsevier Inc. All rights reserved.

Association of the 2011 ACGME Resident Duty Hour Reforms With Mortality and Readmissions Among Hospitalized Medicare Patients

PubMed Central

Patel, Mitesh S.; Volpp, Kevin G.; Small, Dylan S.; Hill, Alexander S.; Even-Shoshan, Orit; Rosenbaum, Lisa; Ross, Richard N.; Bellini, Lisa; Zhu, Jingsan; Silber, Jeffrey H.

2017-01-01

IMPORTANCE Patient outcomes associated with the 2011 Accreditation Council for Graduate Medical Education (ACGME) duty hour reforms have not been evaluated at a national level. OBJECTIVE To evaluate the association of the 2011 ACGME duty hour reforms with mortality and readmissions. DESIGN, SETTING, AND PARTICIPANTS Observational study of Medicare patient admissions (6 384 273 admissions from 2 790 356 patients) to short-term, acute care, nonfederal hospitals (n = 3104) with principal medical diagnoses of acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure or a Diagnosis Related Group classification of general, orthopedic, or vascular surgery. Of the hospitals, 96 (3.1%) were very major teaching, 138 (4.4%) major teaching, 442 (14.2%) minor teaching, 443 (14.3%) very minor teaching, and 1985 (64.0%) nonteaching. EXPOSURE Resident-to-bed ratio as a continuous measure of hospital teaching intensity. MAIN OUTCOMES AND MEASURES Change in 30-day all-location mortality and 30-day all-cause readmission, comparing patients in more intensive relative to less intensive teaching hospitals before (July 1, 2009–June 30, 2011) and after (July 1, 2011–June 30, 2012) duty hour reforms, adjusting for patient comorbidities, time trends, and hospital site. RESULTS In the 2 years before duty hour reforms, there were 4 325 854 admissions with 288 422 deaths and 602 380 readmissions. In the first year after the reforms, accounting for teaching hospital intensity, there were 2 058 419 admissions with 133 547 deaths and 272 938 readmissions. There were no significant postreform differences in mortality accounting for teaching hospital intensity for combined medical conditions (odds ratio [OR], 1.00; 95% CI, 0.96–1.03), combined surgical categories (OR, 0.99; 95% CI, 0.94–1.04), or any of the individual medical conditions or surgical categories. There were no significant postreform differences in readmissions for combined medical conditions

An informatics-based approach to reducing heart failure all-cause readmissions: the Stanford heart failure dashboard.

PubMed

Banerjee, Dipanjan; Thompson, Christine; Kell, Charlene; Shetty, Rajesh; Vetteth, Yohan; Grossman, Helene; DiBiase, Aria; Fowler, Michael

2017-05-01

Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort. We hypothesized that a comprehensive EMR-based approach utilizing an HF dashboard in addition to an established HF readmission reduction program would further reduce 30-day all-cause index hospital readmission rates for HF. After establishing a quality improvement program to reduce 30-day HF readmission rates, we instituted EMR-based measures designed to improve cohort identification, intervention tracking, and readmission analysis, the latter 2 supported by an electronic HF dashboard. Our primary outcome measure was the 30-day index hospital readmission rate for HF, with secondary measures including the accuracy of identification of patients with HF and the percentage of patients receiving interventions designed to reduce all-cause readmissions for HF. The HF dashboard facilitated improved penetration of our interventions and reduced readmission rates by allowing the clinical team to easily identify cohorts with high readmission rates and/or low intervention rates. We significantly reduced 30-day index hospital all-cause HF readmission rates from 18.2% at baseline to 14% after implementation of our quality improvement program ( P  = .045). Implementation of our EMR-based approach further significantly reduced 30-day index hospital readmission rates for HF to 10.1% ( P for trend = .0001). Daily time to screen patients decreased from 1 hour to 15 minutes, accuracy of cohort identification improved from 83% to 94.6% ( P  = .0001), and the percentage of patients receiving our interventions, such as patient education

Hemodialysis Hospitalizations and Readmissions: The Effects of Payment Reform

PubMed Central

Erickson, Kevin F.; Winkelmayer, Wolfgang C.; Chertow, Glenn M.; Bhattacharya, Jay

2016-01-01

Background In 2004 the Centers for Medicare & Medicaid Services (CMS) changed reimbursement for physicians and advanced practitioners caring for patients receiving hemodialysis from a capitated to a tiered fee-for-service system, encouraging increased face-to-face visits. This early version of a pay-for-performance initiative targeted a care process: more frequent provider visits in hemodialysis. While more frequent provider visits in hemodialysis are associated with fewer hospitalizations and re-hospitalizations, it is unknown whether encouraging more frequent visits through reimbursement policy also yielded these benefits. Study Design We used a retrospective cohort, interrupted time-series study design to examine whether the 2004 nephrologist reimbursement reform led to reduced hospitalizations and re-hospitalizations. We also used published data to estimate a range of annual economic costs associated with more frequent visits. Setting & Participants Medicare beneficiaries in the United States receiving hemodialysis in the two years prior to and following reimbursement reform. Predictor The two years following nephrologist reimbursement reform. Outcomes Odds of hospitalization and 30-day hospital readmission for all causes and fluid overload; US dollars. Results We found no significant change in all-cause hospitalization or re-hospitalization, and slight reductions in hospitalization and re-hospitalization for fluid overload following reimbursement reform; the estimated economic cost associated with additional visits ranged from $13 to $87 million per year, depending on who (physicians or advanced practitioners) spent additional time visiting patients and how much additional effort was involved. Limitations Due to limited information about how much additional time providers spent seeing patients after reimbursement reform, we could only examine a range of potential economic costs associated with the reform. Conclusions A Medicare reimbursement policy designed to

Association of Admission to Veterans Affairs Hospitals Versus non-Veterans Affairs Hospitals with Mortality and Readmission Rates Among Older Men Hospitalized with Acute Myocardial Infarction, Heart Failure, and Pneumonia

PubMed Central

Nuti, Sudhakar V.; Qin, Li; Rumsfeld, John S.; Ross, Joseph S.; Masoudi, Frederick A.; Normand, Sharon-Lise T.; Murugiah, Karthik; Bernheim, Susannah M.; Suter, Lisa G.; Krumholz, Harlan M.

2017-01-01

Importance Little contemporary information is available about comparative performance between Veterans Affairs (VA) and non-VA hospitals, particularly related to mortality and readmission rates, 2 important outcomes of care. Objective To assess and compare mortality and readmission rates among men in VA and non-VA hospitals. To avoid confounding geographic effects with health care system effects, we studied VA and non-VA hospitals within the same metropolitan statistical area (MSA). Design Cross-sectional analysis between 2010 and 2013 Setting Medicare Standard Analytic Files and Enrollment Database Participants Male Medicare Fee-for-Service beneficiaries aged 65 or older hospitalized between 2010 and 2013 in VA and non-VA acute care hospitals for acute myocardial infarction (AMI), heart failure (HF), or pneumonia. Exposures Hospitalization in a VA or non-VA hospital in urban MSAs that contained at least 1 VA and non-VA hospital Main Outcomes and Measures For each condition, 30-day risk-standardized mortality rates and risk-standardized readmission rates for VA and non-VA hospitals. Mean-aggregated within-MSA differences in mortality and readmission rates were also assessed. Results We studied 104 VA and 1,513 non-VA hospitals, with each condition-outcome analysis cohort for VA and non-VA hospitals containing at least 7,900 patients, in 92 MSAs. Mortality rates were lower in VA hospitals than non-VA hospitals for AMI (13.5% vs. 13.7%, p=0.02; −0.2 percentage point difference) and HF (11.4% vs. 11.9%, p=0.008; −0.5 percentage point difference), but higher for pneumonia (12.6% vs. 12.2%, p<0.05; 0.4 percentage point difference). In contrast, readmission rates were higher in VA hospitals for all 3 conditions (AMI: 17.8% vs. 17.2%, 0.6 percentage point difference; HF: 24.7% vs. 23.5%, 1.2 percentage point difference; pneumonia: 19.4% vs. 18.7%, 0.7 percentage point difference, all p<0.001). In within-MSA comparisons, VA hospitals had lower mortality rates for AMI

Preventing readmissions through comprehensive discharge planning.

PubMed

Hunter, Tabitha; Nelson, James Rex; Birmingham, Jackie

2013-01-01

Case managers, including nurses and social workers, provide essential services to hospitalized patients, including mandated discharge planning that has been shown to impact patient safety and patient outcomes. The heightened attention to readmission is evident in both reimbursement and accreditation initiatives. The Centers for Medicare & Medicaid Services, Office of Clinical Standards & Quality/Survey & Certification Group, is revising worksheets to be used by surveyors to review how hospitals are complying with the Medicare Conditions of Participation with a focus on discharge planning as it relates to patient safety. This is an opportunity for case managers to apply the principles of case management to the targeted problem of readmissions. Now case managers must identify the reasons for readmission on a patient-by-patient basis, collect data, analyze processes, and then change practice in the hospital and work more closely with community-based providers. The purpose of this article is to recommend improvement in a consistent case management practice that will positively influence patient readmissions. Hospital-based case managers who are responsible for discharge planning functions. Hospital administrators will also find this information valuable as a tool to assess strategies to control preventable readmissions and to comply with the Medicare Conditions of Participation for discharge planning. Hospital-based case managers, responsible for discharge planning, have a unique opportunity to interact face-to-face with patients who are readmitted to determine factors that lead to the readmission. Case managers need to change their practice to include assessing patients on the basis of their prior level of care. Pharmacists need to play a bigger role in discharge planning, especially for patients who have experienced a potentially avoidable readmission. Working closely with community-based providers is essential to target reasons for readmission. The Medicare

Hospital Nursing and 30-Day Readmissions among Medicare Patients with Heart Failure, Acute Myocardial Infarction, and Pneumonia

PubMed Central

McHugh, Matthew D.; Ma, Chenjuan

2013-01-01

Background Provisions of the Affordable Care Act that increase hospitals’ financial accountability for preventable readmissions have heightened interest in identifying system-level interventions to reduce readmissions. Objectives To determine the relationship between hospital nursing; i.e. nurse work environment, nurse staffing levels, and nurse education, and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia. Method and Design Analysis of linked data from California, New Jersey, and Pennsylvania that included information on the organization of hospital nursing (i.e., work environment, patient-to-nurse ratios, and proportion of nurses holding a BSN degree) from a survey of nurses, as well as patient discharge data, and American Hospital Association Annual Survey data. Robust logistic regression was used to estimate the relationship between nursing factors and 30-day readmission. Results Nearly one-quarter of heart failure index admissions (23.3% [n=39,954]); 19.1% (n=12,131) of myocardial infarction admissions; and 17.8% (n=25,169) of pneumonia admissions were readmitted within 30-days. Each additional patient per nurse in the average nurse’s workload was associated with a 7% higher odds of readmission for heart failure (OR=1.07, [1.05–1.09]), 6% for pneumonia patients (OR=1.06, [1.03–1.09]), and 9% for myocardial infarction patients (OR=1.09, [1.05–1.13]). Care in a hospital with a good versus poor work environment was associated with odds of readmission that were 7% lower for heart failure (OR = 0.93, [0.89–0.97]); 6% lower for myocardial infarction (OR = 0.94, [0.88–0.98]); and 10% lower for pneumonia (OR = 0.90, [0.85–0.96]) patients. Conclusions Improving nurses’ work environments and staffing may be effective interventions for preventing readmissions. PMID:23151591

Comprehensive Strategies to Reduce Readmissions in Older Patients With Cardiovascular Disease.

PubMed

Dharmarajan, Kumar

2016-11-01

Older adults are frequently readmitted to the hospital soon after hospitalization for common cardiovascular conditions. Yet there are few high-quality data on the best strategies to reduce short-term readmissions because most studies have involved small numbers of participants, single-centre design, and strong susceptibility to bias. Despite these limitations in the literature, a clear signal exists that most studies involving a singular type of intervention, a singular type of health provider, or a low intensity of intervention have failed to reduce readmissions. In contrast, interventions that are most likely to lower readmissions have used comprehensive approaches, including combined hospital and postacute care, multimodal interventions, multidisciplinary teams, or frequent longitudinal contact. Components of a comprehensive approach with the highest level of evidence include high-quality, disease-specific care; multiple transitional care interventions; involvement of multidisciplinary teams; early and frequent outpatient follow-up; and, when possible, home visits. These findings are consistent with data demonstrating that older adults have multiple sources of vulnerability and experience elevated readmission risk from a broad spectrum of medical conditions for an extended time after hospital discharge. Because readmission reduction is difficult and requires new ways of conceptualizing links between inpatient and postacute care, financial incentives may ultimately be required to motivate hospitals and health systems to redesign care processes, deploy new resources, and collaborate with out-of-hospital providers and organizations. Copyright © 2016 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

PubMed Central

2017-01-01

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists. Here, using data from more than 300,000 hospital stays in California from Sutter Health’s EHR system, we built and tested an artificial neural network (NN) model based on Google’s TensorFlow library. Through comparison with other traditional and non-traditional models, we demonstrated that neural networks are great candidates to capture the complexity and interdependency of various data fields in EHRs. LACE, the current industry standard, showed a precision (PPV) of 0.20 in identifying high-risk patients in our database. In contrast, our NN model yielded a PPV of 0.24, which is a 20% improvement over LACE. Additionally, we discussed the predictive power of Social Determinants of Health (SDoH) data, and presented a simple cost analysis to assist hospitalists in implementing helpful and cost-effective post-discharge interventions. PMID:28708848

Trauma Transitional Care Coordination: protecting the most vulnerable trauma patients from hospital readmission

PubMed Central

Hall, Erin C; Tyrrell, Rebecca; Scalea, Thomas M; Stein, Deborah M

2018-01-01

Background Unplanned hospital readmissions increase healthcare costs and patient morbidity. We hypothesized that a program designed to reduce trauma readmissions would be effective. Methods A Trauma Transitional Care Coordination (TTCC) program was created to support patients at high risk for readmission. TTCC interventions included call to patient (or caregiver) within 72 hours of discharge to identify barriers to care, complete medication reconciliation, coordination of appointments, and individualized problem solving. Information on all 30-day readmissions was collected. 30-day readmission rates were compared with center-specific readmission rates and population-based, risk-adjusted rates of readmission using published benchmarks. Results 260 patients were enrolled in the TTCC program from January 2014 to September 2015. 30.8% (n=80) of enrollees were uninsured, 41.9% (n=109) reported current substance abuse, and 26.9% (n=70) had a current psychiatric diagnosis. 74.2% (n=193) attended outpatient trauma appointments within 14 days of discharge. 96.3% were successfully followed. Only 6.6% (n=16) of patients were readmitted in the first 30 days after discharge. This was significantly lower than both center-specific readmission rates before start of the program (6.6% vs. 11.3%, P=0.02) and recently published population-based trauma readmission rates (6.6% vs. 27%, P<0.001). Discussion A nursing-led TTCC program successfully followed patients and was associated with a significant decrease in 30-day readmission rates for patients with high-risk trauma. Targeted outpatient support for these most vulnerable patients can lead to better utilization of outpatient resources, increased patient satisfaction, and more consistent attainment of preinjury level of functioning or better. Level of evidence Level IV. PMID:29766133

Mortality, Hospital Costs, Payments, and Readmissions Associated With Clostridium difficile Infection Among Medicare Beneficiaries.

PubMed

Drozd, Edward M; Inocencio, Timothy J; Braithwaite, Shamonda; Jagun, Dayo; Shah, Hemal; Quon, Nicole C; Broderick, Kelly C; Kuti, Joseph L

2015-11-01

The management of Clostridium difficile infection (CDI) among hospitalized patients is costly, and ongoing payment reform is compelling hospitals to reduce its burden. To assess the impact of CDI on mortality, hospital costs, healthcare use, and Medicare payments for beneficiaries who were discharged with CDI listed as a secondary International Classification of Diseases , Ninth Revision , Clinical Modification claim diagnosis. Data were analyzed from the 2009 to 2010 5% random sample Medicare Standard Analytic Files of beneficiary claims. Patients with index hospitalizations with CDI as a secondary diagnosis and no previous hospitalization within 30 days were identified. Outcomes included inpatient and 30-day mortality, inpatient costs, index hospital payments, all-provider payments, net hospital losses, payment to cost ratio, length of stay (LOS), and 30-day readmission; outcomes were each risk adjusted using propensity score matching and regression modeling techniques. A total of 3262 patients with CDI were identified after matching to patients without a CDI diagnosis. After risk adjustment, secondary CDI was associated with statistically significantly (all P < 0.05) greater inpatient mortality (3.1% vs. 1.7%), 30-day mortality (4.1% vs. 2.2%), longer LOS (7.0 days vs. 3.8 days), higher rates of 30-day hospital readmissions (14.8% vs. 10.4%), and greater hospital costs ($16,184 vs. $13,954) compared with the non-CDI cohort. The risk-adjusted payment-to-cost ratio was shown to be lower for patients with CDI than those without (0.76 vs. 0.85). Secondary CDI is associated with greater adjusted mortality, costs, LOS, and hospital readmissions, while receiving similar hospital reimbursement compared with patients without CDI in a Medicare population.

Mortality, Hospital Costs, Payments, and Readmissions Associated With Clostridium difficile Infection Among Medicare Beneficiaries

PubMed Central

Drozd, Edward M.; Inocencio, Timothy J.; Braithwaite, Shamonda; Jagun, Dayo; Shah, Hemal; Quon, Nicole C.; Broderick, Kelly C.; Kuti, Joseph L.

2015-01-01

Background The management of Clostridium difficile infection (CDI) among hospitalized patients is costly, and ongoing payment reform is compelling hospitals to reduce its burden. To assess the impact of CDI on mortality, hospital costs, healthcare use, and Medicare payments for beneficiaries who were discharged with CDI listed as a secondary International Classification of Diseases, Ninth Revision, Clinical Modification claim diagnosis. Methods Data were analyzed from the 2009 to 2010 5% random sample Medicare Standard Analytic Files of beneficiary claims. Patients with index hospitalizations with CDI as a secondary diagnosis and no previous hospitalization within 30 days were identified. Outcomes included inpatient and 30-day mortality, inpatient costs, index hospital payments, all-provider payments, net hospital losses, payment to cost ratio, length of stay (LOS), and 30-day readmission; outcomes were each risk adjusted using propensity score matching and regression modeling techniques. Results A total of 3262 patients with CDI were identified after matching to patients without a CDI diagnosis. After risk adjustment, secondary CDI was associated with statistically significantly (all P < 0.05) greater inpatient mortality (3.1% vs. 1.7%), 30-day mortality (4.1% vs. 2.2%), longer LOS (7.0 days vs. 3.8 days), higher rates of 30-day hospital readmissions (14.8% vs. 10.4%), and greater hospital costs ($16,184 vs. $13,954) compared with the non-CDI cohort. The risk-adjusted payment-to-cost ratio was shown to be lower for patients with CDI than those without (0.76 vs. 0.85). Conclusions Secondary CDI is associated with greater adjusted mortality, costs, LOS, and hospital readmissions, while receiving similar hospital reimbursement compared with patients without CDI in a Medicare population. PMID:27885315

Customizing national models for a medical center's population to rapidly identify patients at high risk of 30-day all-cause hospital readmission following a heart failure hospitalization.

PubMed

Cox, Zachary L; Lai, Pikki; Lewis, Connie M; Lindenfeld, JoAnn; Collins, Sean P; Lenihan, Daniel J

2018-05-28

Nationally-derived models predicting 30-day readmissions following heart failure (HF) hospitalizations yield insufficient discrimination for institutional use. Develop a customized readmission risk model from Medicare-employed and institutionally-customized risk factors and compare the performance against national models in a medical center. Medicare patients age ≥ 65 years hospitalized for HF (n = 1,454) were studied in a derivation cohort and in a separate validation cohort (n = 243). All 30-day hospital readmissions were documented. The primary outcome was risk discrimination (c-statistic) compared to national models. A customized model demonstrated improved discrimination (c-statistic 0.72; 95% CI 0.69 - 0.74) compared to national models (c-statistics of 0.60 and 0.61) with a c-statistic of 0.63 in the validation cohort. Compared to national models, a customized model demonstrated superior readmission risk profiling by distinguishing a high-risk (38.3%) from a low-risk (9.4%) quartile. A customized model improved readmission risk discrimination from HF hospitalizations compared to national models. Copyright © 2018 Elsevier Inc. All rights reserved.

Strategies that reduce 90-day readmissions and inpatient costs after liver transplantation.

PubMed

Zeidan, Joseph H; Levi, David M; Pierce, Ruth; Russo, Mark W

2018-04-25

Liver transplantation is hospital-resource intensive and associated with high rates of readmission. We have previously shown a reduction in 30-day readmission rates by implementing a specifically designed protocol to increase access to outpatient care. To determine if strategies that reduce 30-day readmission after liver transplant were effective in also reducing 90-day readmission rates and costs. A protocol was developed to reduce inpatient readmissions after liver transplant that expanded outpatient services and provided alternatives to readmission. The 90-day readmission rates and costs were compared before and implementing strategies outlined in the protocol. Multivariable analysis was used to control for potential confounding factors. Over the study period 304 adult primary liver transplants were performed on patients with a median biologic MELD of 22. 112 (37%) patients were readmitted within 90 days of transplant. The readmission rates before and after implementation of the protocol were 53% and 26% respectively, p<0.001. The most common reason for readmission was elevated liver tests/rejection (24%). In multivariable analysis, the protocol remained associated with avoiding readmission, OR=0.33, [95% CI 0.20,0.55], p<0.001. The median length of stay after transplant preprotocol and postprotocol was 8 and 7 days, respectively. A greater proportion of patients were discharged to hospital lodging post protocol, 10% versus 19%, p=0.03. 90-day readmissions costs were reduced by 55% but total 90 day costs by only 2.7% due to higher outpatient costs and index admission costs. 90-day readmission rates and readmission costs can be reduced by improving access to outpatient services and hospital local lodging. Total 90-day costs were similar between the two groups because of higher outpatient costs after the protocol was introduced. This article is protected by copyright. All rights reserved. © 2018 by the American Association for the Study of Liver Diseases.

Substance abuse and gender differences in first episode psychosis: Impact on hospital readmissions.

PubMed

Crosas, Josep M; Cobo, Jesus; Ahuir, Maribel; Hernández, Carla; García, Rebeca; Pousa, Esther; Oliva, Joan-Carles; Monreal, José-Antonio; Palao, Diego J

There have been controversial results in the study of gender differences in first episode psychosis (FEP). Substance abuse is the main existing comorbidity in FEP, and has been associated with worse prognosis and greater symptom severity. To explore gender differences in FEP in relation to drug abuse, and their relationship with hospital readmissions. Descriptive and prospective study (18 months). We included 141 patients (31.2% women), aged 26.1 years on average, mostly diagnosed with schizophreniform disorder (32.6%). A percentage of 58.9 had problematic use of drugs. Gender significant differences were found in age of onset, age at entry to the programme, marital status and cohabitation, and percentage differences were revealed in current drug abuse and frequency of consumption. Gender, duration of untreated psychosis, psychiatric history, age of onset and previous drug use were not predictors of re-entry. Hospital readmission rate was 24.8%, with no gender differences. The most common reasons for admission were abandonment of treatment (66.7%) and drug abuse (44.4%). Drug abuse was higher in the men than in the women as a reason for re-admission. There are gender differences in FEP. Men have an earlier onset of symptoms and have worse functional outcomes. Drug abuse in men is higher and represents a major cause of hospital readmission. Therapeutic interventions to prevent the effects of drug abuse are necessary from the early stages of the illness. Copyright © 2017 SEP y SEPB. Publicado por Elsevier España, S.L.U. All rights reserved.

Frailty is a predictive factor of readmission within 90 days of hospitalization for acute exacerbations of chronic obstructive pulmonary disease: a longitudinal study

PubMed Central

Bernabeu-Mora, Roberto; García-Guillamón, Gloria; Valera-Novella, Elisa; Giménez-Giménez, Luz M.; Escolar-Reina, Pilar; Medina-Mirapeix, Francesc

2017-01-01

Background: Readmission after hospital discharge is common in patients with acute exacerbations (AE) of chronic obstructive pulmonary disease (COPD). Although frailty predicts hospital readmission in patients with chronic nonpulmonary diseases, no multidimensional frailty measures have been validated to stratify the risk for patients with COPD. Aim: The aim of this study was to explore multidimensional frailty as a potential risk factor for readmission due to a new exacerbation episode during the 90 days after hospitalization for AE-COPD and to test whether frailty could improve the identification of patients at high risk of readmission. We hypothesized that patients with moderate-to-severe frailty would be at greater risk for readmission within that period of follow up. A secondary aim was to test whether frailty could improve the accuracy with which to discriminate patients with a high risk of readmission. Our investigation was part of a wider study protocol with additional aims on the same study population. Methods: Frailty, demographics, and disease-related factors were measured prospectively in 102 patients during hospitalization for AE-COPD. Some of the baseline data reported were collected as part of a previously study. Readmission data were obtained on the basis of the discharge summary from patients’ electronic files by a researcher blinded to the measurements made in the previous hospitalization. The association between frailty and readmission was assessed using bivariate analyses and multivariate logistic regression models. Whether frailty better identifies patients at high risk for readmission was evaluated by area under the receiver operator curve (AUC). Results: Severely frail patients were much more likely to be readmitted than nonfrail patients (45% versus 18%). After adjusting for age and relevant disease-related factors in a final multivariate model, severe frailty remained an independent risk factor for 90-day readmission (odds ratio = 5.19; 95

Do Older Rural and Urban Veterans Experience Different Rates of Unplanned Readmission to VA and Non-VA Hospitals?

ERIC Educational Resources Information Center

Weeks, William B.; Lee, Richard E.; Wallace, Amy E.; West, Alan N.; Bagian, James P.

2009-01-01

Context: Unplanned readmission within 30 days of discharge is an indicator of hospital quality. Purpose: We wanted to determine whether older rural veterans who were enrolled in the VA had different rates of unplanned readmission to VA or non-VA hospitals than their urban counterparts. Methods: We used the combined VA/Medicare dataset to examine…

Hospitals with briefer than average lengths of stays for common surgical procedures do not have greater odds of either re-admission or use of short-term care facilities.

PubMed

Dexter, F; Epstein, R H; Dexter, E U; Lubarsky, D A; Sun, E C

2017-03-01

We considered whether senior hospital managers and department chairs need to be concerned that small reductions in average hospital length of stay (LOS) may be associated with greater rates of re-admission, use of home health care, and/or transfers to short-term care facilities. The 2013 United States Nationwide Readmissions Database was used to study surgical Diagnosis Related Groups (DRG) with 1) national median LOS ≥3 days and 2) ≥10 hospitals in the database that each had ≥100 discharges for the DRG. Dependent variables were considered individually: 1) re-admission within 30 days of discharge, 2) discharge disposition to home health care, and/or 3) discharge disposition of transfer to short-term care facility (i.e., inpatient rehabilitation hospital or skilled nursing facility). While controlling for DRG, each one-day decrease in hospital median LOS was associated with an odds of re-admission nationwide of 0.95 (95% confidence interval [CI] 0.92-0.99; P =0.012), odds of disposition upon discharge being home care of 0.95 (95% CI 0.83-1.10; P =0.64), and odds of transfer to short-term care facility of 0.68 (95% CI 0.54-0.85; P =0.0008). Results were insensitive to the addition of patient-specific data. In the USA, patients at hospitals with briefer median LOS across multiple common surgical procedures did not have a greater risk for either hospital re-admission within 30 days of discharge or transfer to an inpatient rehabilitation hospital or a skilled nursing facility. The generalisable implication is that, across many surgical procedures, DRG-based financial incentives to shorten hospital stays seem not to influence post-acute care decisions.

Return-on-Investment (ROI) Analyses of an Inpatient Lay Health Worker Model on 30-Day Readmission Rates in a Rural Community Hospital.

PubMed

Cardarelli, Roberto; Bausch, Gregory; Murdock, Joan; Chyatte, Michelle Renee

2017-07-07

The purpose of the study was to assess the return-on-investment (ROI) of an inpatient lay health worker (LHW) model in a rural Appalachian community hospital impacting 30-day readmission rates. The Bridges to Home (BTH) study completed an evaluation in 2015 of an inpatient LHW model in a rural Kentucky hospital that demonstrated a reduction in 30-day readmission rates by 47.7% compared to a baseline period. Using the hospital's utilization and financial data, a validated ROI calculator specific to care transition programs was used to assess the ROI of the BTH model comparing 3 types of payment models including Diagnosis Related Group (DRG)-only payments, pay-for-performance (P4P) contracts, and accountable care organizations (ACOs). The BTH program had a -$0.67 ROI if the hospital had only a DRG-based payment model. If the hospital had P4P contracts with payers and 0.1% of its annual operating revenue was at risk, the ROI increased to $7.03 for every $1 spent on the BTH program. However, if the hospital was an ACO as was the case for this study's community hospital, the ROI significantly increased to $38.48 for every $1 spent on the BTH program. The BTH model showed a viable ROI to be considered by community hospitals that are part of an ACO or P4P program. A LHW care transition model may be a cost-effective alternative for impacting excess 30-day readmissions and avoiding associated penalties for hospital systems with a value-based payment model. © 2017 National Rural Health Association.

Nomogram to Predict Postoperative Readmission in Patients Who Undergo General Surgery.

PubMed

Tevis, Sarah E; Weber, Sharon M; Kent, K Craig; Kennedy, Gregory D

2015-06-01

The Centers for Medicare and Medicaid Services have implemented penalties for hospitals with above-average readmission rates under the Hospital Readmissions Reductions Program. These changes will likely be extended to affect postoperative readmissions in the future. To identify variables that place patients at risk for readmission, develop a predictive nomogram, and validate this nomogram. Retrospective review and prospective validation of a predictive nomogram. A predictive nomogram was developed with the linear predictor method using the American College of Surgeons National Surgical Quality Improvement Program database paired with institutional billing data for patients who underwent nonemergent inpatient general surgery procedures. The nomogram was developed from August 1, 2006, through December 31, 2011, in 2799 patients and prospectively validated from November 1, 2013, through December 19, 2013, in 255 patients at a single academic institution. Area under the curve and positive and negative predictive values were calculated. The outcome of interest was readmission within 30 days of discharge following an index hospitalization for a surgical procedure. Bleeding disorder (odds ratio, 2.549; 95% CI, 1.464-4.440), long operative time (odds ratio, 1.601; 95% CI, 1.186-2.160), in-hospital complications (odds ratio, 16.273; 95% CI, 12.028-22.016), dependent functional status, and the need for a higher level of care at discharge (odds ratio, 1.937; 95% CI, 1.176-3.190) were independently associated with readmission. The nomogram accurately predicted readmission (C statistic = 0.756) in a prospective evaluation. The negative predictive value was 97.9% in the prospective validation, while the positive predictive value was 11.1%. Development of an online calculator using this predictive model will allow us to identify patients who are at high risk for readmission at the time of discharge. Patients with increased risk may benefit from more intensive postoperative

Financial impact of introducing the Swiss-DRG reimbursement system on potentially avoidable readmissions at a university hospital.

PubMed

Wasserfallen, Jean-Blaise; Zufferey, Jade

2015-01-01

Thirty-day readmissions can be classified as potentially avoidable (PARs) or not avoidable (NARs) by following a specific algorithm (SQLape®). We wanted to assess the financial impact of the Swiss-DRG system, which regroups some readmissions occurring within 18 days after discharge within the initial hospital stay, on PARs at our hospital. First, PARs were identified from all hospitalisations recorded in 2011 at our university hospital. Second, 2012 Swiss-DRG readmission rules were applied, regrouped readmissions (RR) were identified, and their financial impact computed. Third, RRs were classified as potentially avoidable (PARRs), not avoidable (NARRs), and others causes (OCRRs). Characteristics of PARR patients and stays were retrieved, and the financial impact of PARRS was computed. A total of 36,777 hospitalisations were recorded in 2011, of which 3,140 were considered as readmissions (8.5%): 1,470 PARs (46.8%) and 1,733 NARs (53.2%). The 2012 Swiss-DRG rules would have resulted in 910 RRs (2.5% of hospitalisations, 29% of readmissions): 395 PARRs (43% of RR), 181 NARRs (20%), and 334 OCRRs (37%). Loss in reimbursement would have amounted to CHF 3.157 million (0.6% of total reimbursement). As many as 95% of the 395 PARR patients lived at home. In total, 28% of PARRs occurred within 3 days after discharge, and 58% lasted less than 5 days; 79% of the patients were discharged home again. Loss in reimbursement would amount to CHF 1.771 million. PARs represent a sizeable number of 30-day readmissions, as do PARRs of 18-day RRs in the 2012 Swiss DRG system. They should be the focus of attention, as the PARRs represent an avoidable loss in reimbursement.

Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange.

PubMed

Hao, Shiying; Wang, Yue; Jin, Bo; Shin, Andrew Young; Zhu, Chunqing; Huang, Min; Zheng, Le; Luo, Jin; Hu, Zhongkai; Fu, Changlin; Dai, Dorothy; Wang, Yicheng; Culver, Devore S; Alfreds, Shaun T; Rogow, Todd; Stearns, Frank; Sylvester, Karl G; Widen, Eric; Ling, Xuefeng B

2015-01-01

Identifying patients at risk of a 30-day readmission can help providers design interventions, and provide targeted care to improve clinical effectiveness. This study developed a risk model to predict a 30-day inpatient hospital readmission for patients in Maine, across all payers, all diseases and all demographic groups. Our objective was to develop a model to determine the risk for inpatient hospital readmission within 30 days post discharge. All patients within the Maine Health Information Exchange (HIE) system were included. The model was retrospectively developed on inpatient encounters between January 1, 2012 to December 31, 2012 from 24 randomly chosen hospitals, and then prospectively validated on inpatient encounters from January 1, 2013 to December 31, 2013 using all HIE patients. A risk assessment tool partitioned the entire HIE population into subgroups that corresponded to probability of hospital readmission as determined by a corresponding positive predictive value (PPV). An overall model c-statistic of 0.72 was achieved. The total 30-day readmission rates in low (score of 0-30), intermediate (score of 30-70) and high (score of 70-100) risk groupings were 8.67%, 24.10% and 74.10%, respectively. A time to event analysis revealed the higher risk groups readmitted to a hospital earlier than the lower risk groups. Six high-risk patient subgroup patterns were revealed through unsupervised clustering. Our model was successfully integrated into the statewide HIE to identify patient readmission risk upon admission and daily during hospitalization or for 30 days subsequently, providing daily risk score updates. The risk model was validated as an effective tool for predicting 30-day readmissions for patients across all payer, disease and demographic groups within the Maine HIE. Exposing the key clinical, demographic and utilization profiles driving each patient's risk of readmission score may be useful to providers in developing individualized post discharge

Identifying predictors of hospital readmission following congenital heart surgery through analysis of a multiinstitutional administrative Database.

PubMed

Smith, Andrew H; Doyle, Thomas P; Mettler, Bret A; Bichell, David P; Gay, James C

2015-01-01

Despite resource burdens associated with hospital readmission, there remains little multiinstitutional data available to identify children at risk for readmission following congenital heart surgery. Children undergoing congenital heart surgery and discharged home between January of 2011 and December 2012 were identified within the Pediatric Health Information System database, a multiinstitutional collection of clinical and administrative data. Patient discharges were assigned to derivation and validation cohorts for the purposes of predictive model design, with 17 871 discharges meeting inclusion criteria. Readmission within 30 days was noted following 956 (11%) of discharges within the derivation cohort (n = 9104), with a median time to readmission of 9 days (interquartile range [IQR] 5-18 days). Readmissions resulted in a rehospitalization length of stay of 4 days (IQR 2-8 days) and were associated with an intensive care unit (ICU) admission in 36% of cases. Independent perioperative predictors of readmission included Risk Adjustment in Congenital Heart Surgery score of 6 (odds ratio [OR] 2.6, 95% confidence interval [CI] 1.8-3.7, P < .001) and ICU length of stay of at least 7 days (OR 1.9 95% CI 1.6-2.2, P < .001). Demographic predictors included Hispanic ethnicity (OR 1.2, 95% CI 1.1-1.4, P = .014) and government payor status (OR 1.2, 95% CI 1.1-1.4, P = .007). Predictive model performance was modest among validation cohort (c statistic 0.68, 95% CI 0.66-0.69, P < .001). Readmissions following congenital heart surgery are common and associated with significant resource consumption. While we describe independent predictors that may identify patients at risk for readmission prior to hospital discharge, there likely remains other unreported factors that may contribute to readmission following congenital heart surgery. © 2014 Wiley Periodicals, Inc.

The effects of state psychiatric hospital waitlist policies on length of stay and time to readmission

PubMed Central

La, Elizabeth Holdsworth; Zhu, Ruoqing; Lich, Kristen Hassmiller; Ellis, Alan R.; Swartz, Marvin S.; Kosorok, Michael R.; Morrissey, Joseph P.

2016-01-01

This study examined the effects of a waitlist policy for state psychiatric hospitals on length of stay and time to readmission using data from North Carolina for 2004–2010. Cox proportional hazards models tested the hypothesis that patients were discharged “quicker-but-sicker” post-waitlist, as hospitals struggled to manage admission delays and quickly admit waitlisted patients. Results refute this hypothesis, indicating that waitlists were associated with increased length of stay and time to readmission. Further research is needed to evaluate patients’ clinical outcomes directly and to examine the impact of state hospital waitlists in other areas, such as state hospital case mix, local emergency departments, and outpatient mental health agencies. PMID:24965771

Reduction of 30-Day Preventable Pediatric Readmission Rates With Postdischarge Phone Calls Utilizing a Patient- and Family-Centered Care Approach.

PubMed

Flippo, Renee; NeSmith, Elizabeth; Stark, Nancy; Joshua, Thomas; Hoehn, Michelle

2015-01-01

The purpose of this project was to evaluate the effectiveness of postdischarge phone calls on 30-day preventable readmission rates within the pediatric hospital setting. Because the unit of care identified was patients and their families, a patient- and family-centered care approach was used. The project used an exploratory design and was conducted at a 154-bed pediatric hospital facility. A sample of 15 patients meeting project inclusion criteria was selected before and after the intervention, and medical records were reviewed to identify if a 30-day preventable readmission had occurred. Medical record review revealed four preintervention readmissions, providing an overall preintervention readmission rate of 26%. Only one readmission was discovered after the intervention, yielding an overall postintervention readmission rate of 6%. The sample size was not large enough to show statistical significance, but clinical significance was seen, with readmission rates for the project target population decreasing below the rates recorded in 2012. Copyright © 2015 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.

Evaluation of hospital outcomes: the relation between length-of-stay, readmission, and mortality in a large international administrative database.

PubMed

Lingsma, Hester F; Bottle, Alex; Middleton, Steve; Kievit, Job; Steyerberg, Ewout W; Marang-van de Mheen, Perla J

2018-02-14

Hospital mortality, readmission and length of stay (LOS) are commonly used measures for quality of care. We aimed to disentangle the correlations between these interrelated measures and propose a new way of combining them to evaluate the quality of hospital care. We analyzed administrative data from the Global Comparators Project from 26 hospitals on patients discharged between 2007 and 2012. We correlated standardized and risk-adjusted hospital outcomes on mortality, readmission and long LOS. We constructed a composite measure with 5 levels, based on literature review and expert advice, from survival without readmission and normal LOS (best) to mortality (worst outcome). This composite measure was analyzed using ordinal regression, to obtain a standardized outcome measure to compare hospitals. Overall, we observed a 3.1% mortality rate, 7.8% readmission rate (in survivors) and 20.8% long LOS rate among 4,327,105 admissions. Mortality and LOS were correlated at the patient and the hospital level. A patient in the upper quartile LOS had higher odds of mortality (odds ratio = 1.45, 95% confidence interval 1.43-1.47) than those in the lowest quartile. Hospitals with a high standardized mortality had higher proportions of long LOS (r = 0.79, p < 0.01). Readmission rates did not correlate with either mortality or long LOS rates. The interquartile range of the standardized ordinal composite outcome was 74-117. The composite outcome had similar or better reliability in ranking hospitals than individual outcomes. Correlations between different outcome measures are complex and differ between hospital- and patient-level. The proposed composite measure combines three outcomes in an ordinal fashion for a more comprehensive and reliable view of hospital performance than its component indicators.

Elder self-neglect is associated with an increased rate of 30-day hospital readmission: findings from the Chicago Health and Aging Project.

PubMed

Dong, XinQi; Simon, Melissa A

2015-01-01

Elder self-neglect is associated with increased morbidity and mortality. The objective of this study is to examine the prospective relationship between reported elder self-neglect and the rate of 30-day hospital readmission in a community population. We conducted a prospective population-based study of community-dwelling older adults who participated in the Chicago Health and Aging Project. Of the 7,219 participants in the Chicago Health and Aging Project, a subset of 1,228 participants was reported to the social services agency for suspected elder self-neglect. The primary predictor was elder self-neglect reported to the social services agency. The outcome of interest was the annual rate of 30-day hospital readmission calculated from the Center for Medicare and Medicaid System hospitalization data from 1993 to 2009. Poisson regression models were used to assess these relationships. The average annual rate of 30-day hospital readmission for those without elder self-neglect was 0.2 (SD 0.7) and for those with reported elder self-neglect 0.9 (SD 2.8). After adjusting for sociodemographic and socioeconomic characteristics, medical comorbidities, cognitive function, physical function, and psychosocial well-being, elders who self-neglect had a significantly higher rate of 30-day hospital readmission (rate ratio 2.50, 95% confidence interval 2.02-3.10). Greater self-neglect severity [mild: parameter estimate (PE) 1.09, standard error (SE) 0.19, p < 0.001; moderate: PE 0.84, SE 0.13, p < 0.001; severe: PE 1.24, SE 0.40, p = 0.002] was associated with increased annual rates of 30-day hospital readmission after considering the same confounders. Interaction term analyses suggest that the significant relationship between self-neglect and 30-day hospital readmission was not moderated by medical conditions, cognitive impairment, physical disability, or psychosocial well-being. Reported elder self-neglect was associated with increased rates of 30-day hospital readmission in this

Effect of employment status on length of hospital stay, 30-day readmission and patient reported outcomes after spine surgery.

PubMed

Adogwa, Owoicho; Elsamadicy, Aladine A; Fialkoff, Jared; Mehta, Ankit I; Vasquez, Raul A; Cheng, Joseph; Karikari, Isaac O; Bagley, Carlos A

2017-03-01

Growing scrutiny has placed hospitals at the center of readmission prevention. The relationship between pre-operative employment status, length of hospital stays (LOS) and 30-day readmission rates after elective spine surgery remains unclear. The medical records of 360 patients (employed: n=174, unemployed: n=70, retired: n=40, disabled: n=76) undergoing elective spine surgery at a major academic medical center were reviewed. Patient demographics, comorbidities, and post-operative complication rates were recorded. All patients had comprehensive 1-year patient reported outcomes (PROs) measures. We hypothesized that employment status is associated with decreased LOS and decreased risk of 30-day readmission after elective spine surgery. All-cause readmissions within 30 days of discharge was the primary outcome variable. Baseline characteristics were similar in all cohorts. There was no difference in operative time, estimated blood loss (EBL), or number of fusion levels between all patient cohorts. There were no significant differences in peri-operative complication rates between patient cohorts. On average, the LOS was shorter for the employed compared to non-employed patients (4.89 vs. 5.26 days). The rate of 30-day readmission was 2-fold greater unemployed compared to employed patients (5.17% vs. 10%). At 1-year after surgery, employed patients were more likely to express functional improvement (change in ODI score) compared to unemployed patients (ODI: employed: 33.80 vs. unemployed: 41.93). Our study suggests that employment status may be associated with shorter duration of hospital stay, lower 30-day readmission rates and greater functional improvement. Future interventions to reduce unplanned hospital readmissions should consider pre-operative employment status.

TransitionRx: Impact of community pharmacy postdischarge medication therapy management on hospital readmission rate.

PubMed

Luder, Heidi R; Frede, Stacey M; Kirby, James A; Epplen, Kelly; Cavanaugh, Teresa; Martin-Boone, Jill E; Conrad, Wayne F; Kuhlmann, Diane; Heaton, Pamela C

2015-01-01

To determine if a community pharmacy-based transition of care (TOC) program that included the full scope of medication therapy management (MTM) services (TransitionRx) decreased hospital readmissions, resolved medication-related problems, and increased patient satisfaction. Prospective, quasi-experimental study. Nine Kroger Pharmacies located in Western Cincinnati. Patients older than 18 years of age and discharged from two local hospitals with a diagnosis of congestive heart failure, chronic obstructive pulmonary disease, or pneumonia. Patients were recruited from two local hospitals and referred to the community pharmacy for MTM services with the pharmacist within 1 week of discharge. Pharmacists reconciled the patients' medications, identified drug therapy problems, recommended changes to therapy, and provided self-management education. At 30 days after discharge, research personnel conducted telephone surveys, using a previously validated survey instrument, to assess hospital readmissions and patient satisfaction. Pharmacist interventions and medication-related problems were documented. A total of 90 patients completed the study. Of these, 20% of patients in the usual care group were admitted to the hospital within 30 days compared with 6.9% of patients in the intervention group (P = 0.019). In the 30 patients who received MTM services from the pharmacist, 210 interventions were made. The overall mean patient satisfaction with the TOC process was not significantly different between patients who were seen by the pharmacist and those who were not seen by the pharmacist. Community pharmacies successfully collaborated with hospitals to develop a referral process for TOC interventions. Patients who received MTM services from the pharmacist experienced significantly fewer readmissions than patients who received usual care.

Impact of Multisystem Health Care on Readmission and Follow-up Among Veterans Hospitalized for Chronic Obstructive Pulmonary Disease.

PubMed

Rinne, Seppo T; Elwy, Anashua R; Bastian, Lori A; Wong, Edwin S; Wiener, Renda S; Liu, Chuan-Fen

2017-07-01

Chronic obstructive pulmonary disease (COPD) is one of the most common causes of readmission at Veterans Affairs (VA) hospitals. Previous studies demonstrate worse outcomes for veterans with multisystem health care, though the impact of non-VA care on COPD readmissions is unknown. To examine the association of use of non-VA outpatient care with 30-day readmission and 30-day follow-up among veterans admitted to the VA for COPD. This is a retrospective cohort study using VA administrative data and Medicare claims. In total, 20,472 Medicare-eligible veterans who were admitted to VA hospitals for COPD during October 1, 2008 and September 30, 2011. We identified the source of outpatient care during the year before the index hospitalization as VA-only, dual-care (VA and Medicare), and Medicare-only. Outcomes of interest included any-cause 30-day readmission, COPD-specific 30-day readmission and follow-up visit within 30 days of discharge. We used mixed-effects logistic regression, controlling for baseline severity of illness, to examine the association between non-VA care and postdischarge outcomes. There was no association between non-VA care and any-cause readmission. We did identify an increased COPD-specific readmission risk with both dual-care [odds ratio (OR)=1.20; 95% confidence interval (CI), 1.02-1.40] and Medicare-only (OR=1.41; 95% CI, 1.15-1.75). Medicare-only outpatient care was also associated with significantly lower rates of follow-up (OR=0.81; 95% CI, 0.72-0.91). Differences in disease-specific readmission risk may reflect differences in disease management between VA and non-VA providers. Further research is needed to understand how multisystem care affects coordination and other measures of quality for veterans with COPD.

Readmissions for Recurrent Sepsis: New or Relapsed Infection?

PubMed

DeMerle, Kimberley Marie; Royer, Stephanie C; Mikkelsen, Mark E; Prescott, Hallie C

2017-10-01

Sepsis hospitalizations are frequently followed by hospital readmissions, often for recurrent sepsis. However, it is unclear how often sepsis readmissions are for relapsed/recrudescent versus new infections. The aim of this study was to assess the extent to which 90-day readmissions for recurrent sepsis are due to infection of the same site and same pathogen as the initial episode. Retrospective cohort study. University of Michigan Health System. All hospitalizations (May 15, 2013 to May 14, 2015) with a principal International Classification of Diseases, Ninth revision, Clinical Modification diagnosis of septicemia (038.x), severe sepsis (995.92), or septic shock (785.52), as well as all subsequent hospitalizations and sepsis readmissions within 90 days. We determined organism and site of sepsis through manual chart abstraction. None. We identified 472 readmissions within 90 days of sepsis, of which 137 (29.1%) were for sepsis. In sepsis readmissions, the site and organisms were most commonly urinary (29.2%), gastrointestinal (20.4%), Gram negative (29.9%), Gram positive (16.8%), and culture negative (30.7%). Ninety-four readmissions (68.6%) were for infection at the same site as initial sepsis hospitalization. Nineteen percent of readmissions were confirmed to be same site and same organism. However, accounting for the uncertainty from culture-negative sepsis, as many as 53.2% of readmissions could plausibly due to infections with both the same organism and same site. Of the patients readmitted with sepsis within 90 days, two thirds had infection at the same site as their initial admission. Just 19% had infection confirmed to be from the same site and organism as the initial sepsis hospitalization. Half of readmissions were definitively for new infections, whereas an additional 34% were unclear since cultures were negative in one of the hospitalizations.

Hospital readmissions with acute infectious diseases in New Zealand children < 2 years of age.

PubMed

Seibt, Silvia; Gilchrist, Catherine A; Reed, Peter W; Best, Emma J; Harnden, Anthony; Camargo, Carlos A; Grant, Cameron C

2018-03-05

Infectious diseases are the leading cause of hospital admissions in young children. Hospitalisation with an infectious disease is a recurrent event for some children. Our objective was to describe risk factors for infectious disease readmission following hospital admission with an infectious disease in the first two years of life. We performed a national cohort study of New Zealand children, born 2005-2009, with an infectious disease admission before age 24 months. Children readmitted with an infectious disease within 12 months of the first infectious disease admission were identified. Every infectious disease admission was categorised as a respiratory, enteric, skin and soft tissue, urinary or other infection. Independent associations of demographic and child health factors with infectious disease readmission were determined using multiple variable logistic regression. From 2005 to 2011, there were 69,902 infectious disease admissions for 46,657 children less than two years old. Of these 46,657 children, 10,205 (22%) had at least one infectious disease readmission within 12 months of their first admission. The first infectious disease admission was respiratory (54%), enteric (15%), skin or soft tissue (7%), urinary (4%) or other (20%). Risk of infectious disease readmission was increased if the first infectious disease admission was respiratory (OR = 1.87, 95% CI 1.78-1.95) but not if it was in any other infectious disease category. Risk factors for respiratory infectious disease readmission were male gender, Pacific or Māori ethnicity, greater household deprivation, presence of a complex chronic condition, or a first respiratory infectious disease admission during autumn or of ≥3 days duration. Fewer factors (younger age, male gender, presence of a complex chronic condition) were associated with enteric infection readmission. The presence of a complex chronic condition was the only factor associated with urinary tract infection readmission and none of

Early primary care follow-up after ED and hospital discharge - does it affect readmissions?

PubMed

Sinha, Sanjai; Seirup, Joanna; Carmel, Amanda

2017-04-01

After hospitalization, timely discharge follow-up has been linked to reduced readmissions in the heart failure population, but data from general inpatients has been mixed. The objective of this study was to determine if there was an association between completed follow-up appointments within 14 days of hospital discharge and 30-day readmission amongst primary care patients at an urban academic medical center. Index discharges included both inpatient and emergency room settings. A secondary objective was to identify patient factors associated with completed follow-up appointments within 14 days. We conducted a retrospective review of primary care patients at an urban academic medical center who were discharged from either the emergency department (ED) or inpatient services at the Weill Cornell Medical Center/New York Presbyterian Hospital from 1 January 2014-31 December 2014. Cox proportional hazard models were used to identify the relationship between follow-up in primary care within 14 days and readmission within 30 days. Logistic regression was used to evaluate the association of patient factors with 14-day follow-up. Among 9,662 inpatient and ED discharges, multivariable analysis (adjusting for age, gender, race/ethnicity, insurance, number of diagnoses on problem list, length of stay, and discharge service) showed that follow-up with primary care within 14 days was not associated with a lower hazard of readmission within 30 days (HR = 0.78; 95% CI 0.56-1.09). A higher number of diagnoses on the problem list was associated with greater odds of follow-up for both inpatient and emergency department discharges (inpatient: HR = 1.03, 95% CI 1.02-1.04; ED: HR = 1.02, 95% CI 1.00-1.04). For inpatient discharges, each additional day in length of stay was associated with 3% lower odds of follow-up (HR = 0.97, 95% CI 0.96-0.99). Early follow-up within 14 days after discharge from general inpatient services was associated with a trend toward lower hazard of

Thirty-day readmissions after cardiac implantable electronic devices in the United States: Insights from the Nationwide Readmissions Database.

PubMed

Patel, Brijesh; Sablani, Naveen; Garg, Jalaj; Chaudhary, Rahul; Shah, Mahek; Gupta, Rahul; Nazir, Talha; Bozorgnia, Babak; Padala, Santosh K; Gunda, Sampath; Ellenbogen, Kenneth A

2018-05-01

Limited data are available regarding true estimates of individual complications contributing to readmissions after cardiac implantable electronic device (CIED) implantation. The purpose of this study was to identify predictors of 30-day readmission in patients admitted for CIED implantation. The study cohort consisted of patients who underwent CIED implantation in 2014, identified from the National Readmission Database. Readmission was defined as a subsequent hospital admission within 30 days after the discharge day of index admission. If patients had more than 1 readmission within 30 days, only the first readmission was included. Our final cohort consisted of 70,223 cases, 61,738 (88%) in the no-readmission group and 8485 patients (12%) in the readmission group. Female gender (odds ratio [OR] 1.09; 95% confidence interval [CI] 1.04-1.14; P = .001), atrial fibrillation/flutter (OR 1.23; 95% CI 1.17-1.29, P <.001), acute renal failure (OR 1.65; 95% CI 1.56-1.74; P <.001), coronary artery disease (OR 1.09; 95% CI 1.03-1.14; P = .002), length of stay (OR 1.70; 95% CI 1.51-1.89; P <.001), device placement on the day of admission (OR 0.87; 95% CI 0.80-0.95, P = .001), and fourth quartile of hospital procedure volume (OR 0.91; 95% CI 0.84-0.99; P = .03; first quartile of hospital procedure volume as reference) were independent predictors of 30-day readmissions. The 30-day readmission resulted in additional median charges of $30,692 per patient. Device-related complications were seen in 10.7% of readmitted patients. The most common complications were mechanical (2.8%) and infectious (2.6%). Several patient and hospital-related factors were identified to be independent predictors of 30-day readmission, accounting for increased health care cost. Copyright © 2018 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Utilization, In-Hospital Mortality, and 30-Day Readmission After Percutaneous Mitral Valve Repair in the United States Shortly After Device Approval.

PubMed

Faridi, Kamil F; Popma, Jeffrey J; Strom, Jordan B; Shen, Changyu; Choi, Eunhee; Yeh, Robert W

2018-06-01

The MitraClip device for percutaneous mitral valve repair was approved by the Food and Drug Administration in the United States in October 2013. Few studies have evaluated national outcomes after this procedure in routine clinical practice. We identified adults aged ≥18 years who received percutaneous mitral valve repair from November 2013 to December 2014 in the Nationwide Readmissions Database, a publicly available administrative claims database. Procedural volumes, number of performing hospitals, individual hospital volumes, in-hospital mortality rate, and 30-day hospital readmission rate were determined. Patient demographics, clinical comorbidities, and hospital characteristics were analyzed using logistic regression to determine risk factors for in-hospital death and 30-day readmission. We identified 879 cases performed in the first 14 months after device approval (mean age ± SD, 75.0 ± 13.1 years; 45% women). The number of performing hospitals increased by 5.7-fold (23 to 132), although mean individual hospital volumes remained small (6.2 ± 10.4 cases per hospital). In-hospital all-cause mortality was 3.3% and was associated with higher number of clinical comorbidities. The rate of 30-day readmission was 14.6%, and 6.6% of patients died during rehospitalization. Increased procedural experience was associated with a nonsignificant trend toward reduced hospital readmission after multivariable adjustment (p = 0.08). In conclusion, use of percutaneous mitral valve repair in the United States early after approval increased steadily over time, although individual hospital volumes remained low. More than 1 in 7 patients who underwent this procedure are readmitted within 30 days of discharge. Copyright © 2018 Elsevier Inc. All rights reserved.

Predicting 30-Day Hospital Readmissions in Acute Myocardial Infarction: The AMI "READMITS" (Renal Function, Elevated Brain Natriuretic Peptide, Age, Diabetes Mellitus, Nonmale Sex, Intervention with Timely Percutaneous Coronary Intervention, and Low Systolic Blood Pressure) Score.

PubMed

Nguyen, Oanh Kieu; Makam, Anil N; Clark, Christopher; Zhang, Song; Das, Sandeep R; Halm, Ethan A

2018-04-17

Readmissions after hospitalization for acute myocardial infarction (AMI) are common. However, the few currently available AMI readmission risk prediction models have poor-to-modest predictive ability and are not readily actionable in real time. We sought to develop an actionable and accurate AMI readmission risk prediction model to identify high-risk patients as early as possible during hospitalization. We used electronic health record data from consecutive AMI hospitalizations from 6 hospitals in north Texas from 2009 to 2010 to derive and validate models predicting all-cause nonelective 30-day readmissions, using stepwise backward selection and 5-fold cross-validation. Of 826 patients hospitalized with AMI, 13% had a 30-day readmission. The first-day AMI model (the AMI "READMITS" score) included 7 predictors: renal function, elevated brain natriuretic peptide, age, diabetes mellitus, nonmale sex, intervention with timely percutaneous coronary intervention, and low systolic blood pressure, had an optimism-corrected C-statistic of 0.73 (95% confidence interval, 0.71-0.74) and was well calibrated. The full-stay AMI model, which included 3 additional predictors (use of intravenous diuretics, anemia on discharge, and discharge to postacute care), had an optimism-corrected C-statistic of 0.75 (95% confidence interval, 0.74-0.76) with minimally improved net reclassification and calibration. Both AMI models outperformed corresponding multicondition readmission models. The parsimonious AMI READMITS score enables early prospective identification of high-risk AMI patients for targeted readmissions reduction interventions within the first 24 hours of hospitalization. A full-stay AMI readmission model only modestly outperformed the AMI READMITS score in terms of discrimination, but surprisingly did not meaningfully improve reclassification. © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

[Psychiatric readmissions: individual and organizational factors].

PubMed

Plancke, Laurent; Amariei, Alina; Flament, Clara; Dumesnil, Chloé

2017-01-01

Psychiatric readmission often constitutes a criterion to assess the effects of various therapies, as well as the impact of organizational changes in the healthcare system. It is used to characterize relapse or decompensation. The purpose of this study was to determine readmission rates and identify individual and organizational factors associated with significant variations in these rates. Adult psychiatric readmissions were identified from the full-time hospital stays registered in psychiatric wards in 2011-2012 in the Nord and Pas-de-Calais departments of France, available in the medical the RimP psychiatric admission database. Readmission rates for various follow-up periods after discharge were measured by Kaplan-Meier survival analysis and multivariate analysis was conducted using the Cox proportional hazards model. Approximately 30,000 adults were hospitalized full-time in psychiatric units of the region during the study period. The 24-month readmission rate was 51.6% (95%CI: 50.8-52.3%). The Cox model showed that a diagnosis of schizophrenia (F2 - HR = 1.72 - 95%CI: 1.61-1.84 - p < 0.001) and personality disorder (F6 - HR = 1.45 - 95%CI: 1.32-1.58 - p < 0.001) was associated with a higher readmission rate. Readmission rates were higher among dependent patients in non-profit private hospitals. Psychiatric readmission is a very frequent event and is linked to organizational as well as individual factors.

Needs, Perceived Support, and Hospital Readmissions in Patients with Severe Mental Illness.

PubMed

Guzman-Parra, Jose; Moreno-Küstner, Berta; Rivas, Fabio; Alba-Vallejo, Mercedes; Hernandez-Pedrosa, Javier; Mayoral-Cleries, Fermin

2018-02-01

People with severe mental illness have multiple and complex needs that often are not addressed. The purpose of this study was to analyse needs and support perceived and the relationship with hospital readmission. We assessed 100 patients with severe mental illness at discharge from an acute inpatient unit in terms of needs (Camberwell Assessment of Needs), clinical status (The Brief Psychiatric Rating Scale), and social functioning (Personal and Social Performance); we also followed up these patients for 1 year. The group of patients who were readmitted had more total needs than did the non-readmitted, in addition to more unmet needs, although the differences were not significant. The highest risk factor for rehospitalisation was the number of previous admissions. In addition, the help of informal carers in alleviating psychological distress was associated with the risk of readmission. The main conclusion concerns the role of the psychological support provided by informal networks in preventing readmission.

Risk Factors for 30-Day Hospital Re-Admission with an Infectious Complication after Lower-Extremity Vascular Procedures.

PubMed

Melvin, Joseph C; Smith, Jamie B; Kruse, Robin L; Vogel, Todd R

2017-04-01

Lowering the 30-d re-admission rate after vascular surgery offers the potential to improve healthcare quality. This study evaluated re-admission associated with infections after open and endovascular lower extremity (LE) procedures for peripheral artery disease (PAD). Patients admitted for elective LE procedures for PAD were selected from the Cerner Health Facts ® database. Chi-square analysis evaluated the characteristics of the index admission associated with infection at 30-d re-admission. Multivariable logistic models were created to examine the association of patient and procedural characteristics with infections at re-admission. The microbiology data available at the time of re-admission were evaluated also. A total of 7,089 patients underwent elective LE procedures, of whom 770 (10.9%) were re-admitted within 30 d. A total of 289 (37.5%) had a diagnosis of infection during the re-admission. These infections included surgical site (14.8%), cellulitis (13.6%), sepsis (8.8%), urinary tract (4.9%), and pneumonia (4.9%). Index stay factors associated with infection at re-admission were fluid and electrolyte disorders, kidney disease, diabetes, previous infection, and chronic anemia. Laboratory results associated with an infection during re-admission were post-operative hemoglobin <8 g/dL, blood urea nitrogen >20 mg/dL, platelet counts >400 × 10 3 /mcL, glucose >180 mg/dL, and white blood cell count >11.0 × 10 3 /mcL. Adjusted models demonstrated longer stay, chronic anemia, previous infection, treatment at a teaching hospital, and hemoglobin <8 g/dL to be risk factors for re-admission with infection. Infective organisms isolated during the re-admission stay included Staphylococcus, Enterococcus, Escherichia, Pseudomonas, Proteus, and Klebsiella. Infectious complications were associated with more than one-third of all re-admissions after LE procedures. Predictors of re-admission within 30 d with an infectious complication were longer stay

Excess Readmission vs Excess Penalties: Maximum Readmission Penalties as a Function of Socioeconomics and Geography.

PubMed

Caracciolo, Chris; Parker, Devin; Marshall, Emily; Brown, Jeremiah

2017-08-01

The Hospital Readmission Reduction Program (HRRP) penalizes hospitals with "excess" readmissions up to 3% of Medicare reimbursement. Approximately 75% of eligible hospitals received penalties, worth an estimated $428 million, in fiscal year 2015. To identify demographic and socioeconomic disparities between matched and localized maximum-penalty and no-penalty hospitals. A case-control study in which cases included were hospitals to receive the maximum 3% penalty under the HRRP during the 2015 fiscal year. Controls were drawn from no-penalty hospitals and matched to cases by hospital characteristics (primary analysis) or geographic proximity (secondary analysis). A selectiion of 3383 US hospitals eligible for HRRP. Thirty-nine case and 39 control hospitals from the HRRP cohort. Socioeconomic status variables were collected by the American Community Survey. Hospital and health system characteristics were drawn from Centers for Medicare and Medicaid Services, American Hospital Association, and Dartmouth Atlas of Health Care. The statistical analysis was conducted using Student t tests. Thirty-nine hospitals received a maximum penalty. Relative to controls, maximum-penalty hospitals in counties with lower SES profiles are defined by increased poverty rates (19.1% vs 15.5%, = 0.015) and lower rates of high school graduation (82.2% vs 87.5%, = 0.001). County level age, sex, and ethnicity distributions were similar between cohorts. Cases were more likely than controls to be in counties with low socioeconomic status; highlighting potential unintended consequences of national benchmarks for phenomena underpinned by environmental factors; specifically, whether maximum penalties under the HRRP are a consequence of underperforming hospitals or a manifestation of underserved communities. © 2017 Society of Hospital Medicine

Serum procalcitonin is a marker for prediction of readmission from an intermediate care to an acute care hospital in neurosurgical patients.

PubMed

Lim, Jia Xu; King, Nicolas; Low, Sharon; Ng, Wai Hoe

2015-01-01

Readmission of patients to acute hospitals contributes significantly toward inefficient utilization of healthcare resources, with studies quoting up to 90% being preventable. We aim to report and analyze the factors involved in the readmission of neurosurgical patients who had been previously transferred to an intermediate step-down care facility, and explore possible predictive markers for such readmissions. We conducted a retrospective analysis of all 129 neurosurgical patients who were transferred from out acute tertiary hospital to an intermediate care facility. The cases were segregated into those who were readmitted and those who were not readmitted back to our acute center. The demographic data, clinical features, diagnoses, treatment modalities, pretransfer laboratory findings, and inpatient complications were compared with readmission rate. There were 23 patients (17.8%) who were readmitted to our acute hospital. The most common causes of readmission was infection (n = 12, 52.2%). We found a statistically significant correlation between the higher pretransfer procalcitonin levels with the readmission of our patients (P = 0.037). There was also a significant difference noted between ethnic groups (P = 0.026) and having no complications of disease or treatment (P = 0.008), with readmission. Procalcitonin is a pro-hormone known to correlate with infection and poor neurological status. We have found that its serum values correlate significantly with the readmission rates of neurosurgical patients in our study. We postulate that by ensuring normality in procalcitonin levels prior to transfer to an intermediate care facility, potentially half of neurosurgical readmissions can be prevented.

Serum procalcitonin is a marker for prediction of readmission from an intermediate care to an acute care hospital in neurosurgical patients

PubMed Central

Lim, Jia Xu; King, Nicolas; Low, Sharon; Ng, Wai Hoe

2015-01-01

Background: Readmission of patients to acute hospitals contributes significantly toward inefficient utilization of healthcare resources, with studies quoting up to 90% being preventable. We aim to report and analyze the factors involved in the readmission of neurosurgical patients who had been previously transferred to an intermediate step-down care facility, and explore possible predictive markers for such readmissions. Methods: We conducted a retrospective analysis of all 129 neurosurgical patients who were transferred from out acute tertiary hospital to an intermediate care facility. The cases were segregated into those who were readmitted and those who were not readmitted back to our acute center. The demographic data, clinical features, diagnoses, treatment modalities, pretransfer laboratory findings, and inpatient complications were compared with readmission rate. Results: There were 23 patients (17.8%) who were readmitted to our acute hospital. The most common causes of readmission was infection (n = 12, 52.2%). We found a statistically significant correlation between the higher pretransfer procalcitonin levels with the readmission of our patients (P = 0.037). There was also a significant difference noted between ethnic groups (P = 0.026) and having no complications of disease or treatment (P = 0.008), with readmission. Conclusion: Procalcitonin is a pro-hormone known to correlate with infection and poor neurological status. We have found that its serum values correlate significantly with the readmission rates of neurosurgical patients in our study. We postulate that by ensuring normality in procalcitonin levels prior to transfer to an intermediate care facility, potentially half of neurosurgical readmissions can be prevented. PMID:26430533

Post-Acute Home Care and Hospital Readmission of Elderly Patients with Congestive Heart Failure

ERIC Educational Resources Information Center

Li, Hong; Morrow-Howell, Nancy; Proctor, Enola K.

2004-01-01

After inpatient hospitalization, many elderly patients with congestive heart failure (CHF) are discharged home and receive post-acute home care from informal (family) caregivers and formal service providers. Hospital readmission rates are high among elderly patients with CHF, and it is thought that use of informal and formal services may reduce…

Readmission prediction via deep contextual embedding of clinical concepts.

PubMed

Xiao, Cao; Ma, Tengfei; Dieng, Adji B; Blei, David M; Wang, Fei

2018-01-01

Hospital readmission costs a lot of money every year. Many hospital readmissions are avoidable, and excessive hospital readmissions could also be harmful to the patients. Accurate prediction of hospital readmission can effectively help reduce the readmission risk. However, the complex relationship between readmission and potential risk factors makes readmission prediction a difficult task. The main goal of this paper is to explore deep learning models to distill such complex relationships and make accurate predictions. We propose CONTENT, a deep model that predicts hospital readmissions via learning interpretable patient representations by capturing both local and global contexts from patient Electronic Health Records (EHR) through a hybrid Topic Recurrent Neural Network (TopicRNN) model. The experiment was conducted using the EHR of a real world Congestive Heart Failure (CHF) cohort of 5,393 patients. The proposed model outperforms state-of-the-art methods in readmission prediction (e.g. 0.6103 ± 0.0130 vs. second best 0.5998 ± 0.0124 in terms of ROC-AUC). The derived patient representations were further utilized for patient phenotyping. The learned phenotypes provide more precise understanding of readmission risks. Embedding both local and global context in patient representation not only improves prediction performance, but also brings interpretable insights of understanding readmission risks for heterogeneous chronic clinical conditions. This is the first of its kind model that integrates the power of both conventional deep neural network and the probabilistic generative models for highly interpretable deep patient representation learning. Experimental results and case studies demonstrate the improved performance and interpretability of the model.

The efficacy of a senior outreach program in the reduction of hospital readmissions and emergency department visits among chronically ill seniors.

PubMed

Prior, Michael K; Bahret, Beverly A; Allen, Reva I; Pasupuleti, Sudershan

2012-01-01

This study reports on the effectiveness of a community-based senior outreach program in decreasing rehospitalizations and emergency department visits among chronically ill seniors. Participants had been repeatedly hospitalized with chronic illnesses and were subsequently served in an in-home program designed to address their psychosocial and medical needs. Participation in the program was found to be related to lower hospital readmission rates and emergency department usage. Clients also reported decreased financial concerns and depression and anxiety and increased social support. The study adds to the growing body of work supporting community-based programs as effective strategies for decreasing health care usage and improving quality of life for chronically ill seniors.

Blood transfusion and 30-day readmission rate in adult patients hospitalized with sickle cell disease crisis

PubMed Central

Nouraie, Mehdi; Gordeuk, Victor R.

2015-01-01

Background Sickle cell disease (SCD) patients hospitalized with vaso-occlusive pain crisis tend to have prolonged length of stay (LOS) and high 30-day readmission rates. We investigated the associations of demographic characteristics, comorbidities and blood transfusion during hospitalization with these outcomes. Study Design Repeated regression analysis was used to analyze 39,324 admissions of 4,348 adults with sickle cell crisis from 2007–2012 in the Truven Health MarketScan® Medicaid Databases. Results The mean (95% range) LOS was 5.9 (1.0–19.0) days and the 30-day readmission rate was 39.6% (95% confidence interval [CI]: 39.1%–40.0%). Older age, chronic cardiopulmonary, renal or liver disease and sepsis were associated with both longer LOS and greater 30-day readmission rate. Female gender, iron overload, acute chest syndrome, acute renal failure and stroke were additional predictors of longer LOS. Simple red blood cell transfusion was administered in 31.3% of the admissions, and these patients tended to have more severe disease (chronic cardiopulmonary or kidney disease, acute chest syndrome, acute kidney or liver failure, sepsis). Nevertheless, transfusion was associated with a reduced estimated odds ratio of inpatient mortality of 0.75 (95% CI: 0.57–0.99) and a decreased odds ratio of 30-day readmission of 0.78 (95% CI: 0.73–0.83). Conclusion Our findings point to blood transfusion as a potential means to reduce the 30-day readmission rate among Medicaid patients hospitalized with sickle cell crisis. There is a need for a prospective study to examine the potential benefit and safety of simple blood transfusion for this purpose. PMID:26126756

Associations between nursing home performance and hospital 30-day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States.

PubMed

Pandolfi, Michelle M; Wang, Yun; Spenard, Ann; Johnson, Florence; Bonner, Alice; Ho, Shih-Yieh; Elwell, Timothy; Bakullari, Anila; Galusha, Deron; Leifheit-Limson, Erica; Lichtman, Judith H; Krumholz, Harlan M

2017-12-01

To evaluate community-specific nursing home performance with community-specific hospital 30-day readmissions for Medicare patients discharged with acute myocardial infarction, heart failure or pneumonia. Cross-sectional study using 2009-2012 hospital risk-standardised 30-day readmission data for Medicare fee-for-service patients hospitalised for all three conditions and nursing home performance data from the Centers for Medicare & Medicaid Services Five-Star Quality Rating System. Medicare-certified nursing homes and acute care hospitals. 12,542 nursing homes and 3,039 hospitals treating 30 or more Medicare fee-for-service patients for all three conditions across 2,032 hospital service areas in the United States. Community-specific hospital 30-day risk-standardised readmission rates. Community-specific nursing home performance measures: health inspection, staffing, Registered Nurses and quality performance; and an aggregated performance score. Mixed-effects models evaluated associations between nursing home performance and hospital 30-day risk-standardised readmission rates for all three conditions. The relationship between community-specific hospital risk-standardised readmission rates and community-specific overall nursing home performance was statistically significant for all three conditions. Increasing nursing home performance by one star resulted in decreases of 0.29% point (95% CI: 0.12-0.47), 0.78% point (95% CI: 0.60-0.95) and 0.46% point (95% CI: 0.33-0.59) of risk-standardised readmission rates for AMI, HF and pneumonia, respectively. Among the specific measures, higher performance in nursing home overall staffing and Registered Nurse staffing measures was statistically significantly associated with lower hospital readmission rates for all three conditions. Notable geographic variation in the community-specific nursing home performance was observed. Community-specific nursing home performance is associated with community-specific hospital 30-day

Causes and Temporal Patterns of 30-Day Readmission Among Older Adults Hospitalized With Heart Failure With Preserved or Reduced Ejection Fraction.

PubMed

Goyal, Parag; Loop, Matthew; Chen, Ligong; Brown, Todd M; Durant, Raegan W; Safford, Monika M; Levitan, Emily B

2018-04-23

It is unknown whether causes and temporal patterns of 30-day readmission vary between heart failure (HF) with preserved ejection fraction (HFpEF) and HF with reduced ejection fraction (HFrEF). We sought to address this question by examining a 5% national sample of Medicare beneficiaries. We included individuals who experienced a hospitalization for HFpEF or HFrEF between 2007 and 2013. We identified causes of 30-day readmission based on primary discharge diagnosis and further classified causes of readmission as HF-related, non-HF cardiovascular-related, and non-cardiovascular-related. We calculated the cumulative incidence of these classifications for HFpEF and HFrEF in a competing risks model and calculated subdistribution hazard ratios of these classifications by comparing those with HFpEF and those with HFrEF. Among 60 640 Medicare beneficiaries, we identified 13 785 unique older adults hospitalized with HFpEF and 15 205 who were hospitalized with HFrEF. Noncardiovascular diagnoses represented the most common causes of 30-day readmission (HFpEF: 59%; HFrEF: 47%), a pattern that was observed for each week of the 30-day study period for both HFpEF and HFrEF participants. In comparing readmission diagnoses in an adjusted model, non-cardiovascular-related diagnoses were more common and HF-related diagnoses were less common in HFpEF participants. Non-cardiovascular-related diagnoses represented the most common causes of 30-day readmission following HF hospitalization for each week of the 30-day postdischarge period. HF diagnoses were less common among those with HFpEF compared with HFrEF. Future interventions aimed at reducing 30-day readmissions following an HF hospitalization would benefit from an increased focus on noncardiovascular comorbidity and interventions that target HFpEF and HFrEF separately. © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Variation in Postsepsis Readmission Patterns: A Cohort Study of Veterans Affairs Beneficiaries.

PubMed

Prescott, Hallie C

2017-02-01

Rehospitalization is common after sepsis, but little is known about the variation in readmission patterns across patient groups and care locations. To examine the variation in postsepsis readmission rates and diagnoses by patient age, nursing facility use, admission year, and hospital among U.S. Veterans Affairs (VA) beneficiaries. Observational cohort study of VA beneficiaries who survived a sepsis hospitalization (2009-2011) at 114 VA hospitals, stratified by age (<65 vs. ≥65 yr), nursing home usage (none, chronic, or acute), year of admission (2009, 2010, 2011), and hospital. In the primary analysis, sepsis hospitalizations were identified using a previously validated method. Sensitivity analyses were performed using alternative definitions with explicit International Classification of Diseases, Ninth Revision, Clinical Modification, codes for sepsis, and separately for severe sepsis and septic shock. The primary outcomes were rate of 90-day all-cause hospital readmission after sepsis hospitalization and proportion of readmissions resulting from specific diagnoses, including the proportion of "potentially preventable" readmissions. Readmission diagnoses were similar from 2009 to 2011, with little variation in readmission rates across hospitals. The top six readmission diagnoses (heart failure, pneumonia, sepsis, urinary tract infection, acute renal failure, and chronic obstructive pulmonary disease) accounted for 30% of all readmissions. Although about one in five readmissions had a principal diagnosis for infection, 58% of all readmissions received early systemic antibiotics. Infection accounted for a greater proportion of readmissions among patients discharged to nursing facilities compared with patients discharged to home (25.0-27.1% vs. 16.8%) and among older vs. younger patients (22.2% vs. 15.8%). Potentially preventable readmissions accounted for a quarter of readmissions overall and were more common among older patients and patients discharged to

Understanding readmission to psychiatric hospital in Australia from the service users' perspective: a qualitative study.

PubMed

Duhig, Michael; Gunasekara, Imani; Patterson, Sue

2017-01-01

Inpatient care is integral to balanced mental health systems, contributing to containment of risk associated with psychiatric crises and affording opportunities for treatment. However, psychiatric wards are not always safe and service users are often dissatisfied with the experience. Hence, and because inpatient care is the most costly component of mental health systems, minimising duration of admission and reducing risk of readmission are clinical and strategic priorities internationally. With (primarily quantitative) research to date focused on explaining readmission in terms of characteristics of individuals and services, understanding of the 'revolving door phenomenon' remains limited. Considering verstehen critical to addressing this messy problem, we examined readmission from the service users' perspective. Using grounded theory techniques, we inductively analysed data from interviews with 13 people readmitted to inpatient care within 28 days of discharge. Participants, including eight men, were recruited in 2013 from three psychiatric wards at a metropolitan hospital in Australia. Analysis supported description of readmission as a process, fundamentally related to insufficiency of internal, interpersonal and/or environmental resources to maintain community tenure. For the people in this study, admission to hospital was either the default coping mechanism or the culmination of counter-productive attempts to manage stressful circumstances. Readmission can appropriately be understood as one representation of a fundamental social malaise and the struggle of some people to survive in an apparently inhospitable world. The findings indicate that neither locating the 'problem of readmission' within an individual and promoting self-governance/self-control/self-regulation, nor identifying failures of specific services or sectors are likely to support the economic and ethical imperative of reducing psychiatric admissions. The findings of the study and limitations

Thirty-Day Readmission Rate and Costs After Percutaneous Coronary Intervention in the United States: A National Readmission Database Analysis.

PubMed

Tripathi, Avnish; Abbott, J Dawn; Fonarow, Gregg C; Khan, Abdur R; Barry, Neil G; Ikram, Sohail; Coram, Rita; Mathew, Verghese; Kirtane, Ajay J; Nallamothu, Brahmajee K; Hirsch, Glenn A; Bhatt, Deepak L

2017-12-01

The association of short-term readmissions after percutaneous coronary intervention (PCI) on healthcare costs has not been well studied. The Healthcare Cost and Utilization Project National Readmission Database encompassing 722 US hospitals was used to identify index PCI cases in patients ≥18 years old. Hierarchical regression analyses were used to examine the factors associated with risk of 30-day readmission and higher cumulative costs. We evaluated 206 869 hospitalized patients who survived to discharge after PCI from January through November 2013 and analyzed readmissions over 30 days after discharge. A total of 24 889 patients (12%) were readmitted within 30 days, with rates ranging from 6% to 17% across hospitals. Among the readmitted patients, 13% had PCI, 2% had coronary artery bypass surgery, and 3% died during the readmission. The most common reasons for readmission included nonspecific chest pain/angina (24%) and heart failure (11%). Mean cumulative costs were higher for those with readmissions ($39 634 versus $22 058; P <0.001). The multivariable analyses showed that readmission increased the log 10 cumulative costs by 45% (β: 0.445; P <0.001). There was no significant difference in cumulative costs by the type of insurance. In a national sample of inpatient PCI cases, 30-day readmissions were associated with a significant increase in cumulative costs. The majority of readmissions were because of low-risk chest pain that did not require any intervention. Ongoing effort is warranted to recognize and mitigate potentially preventable post-PCI readmissions. © 2017 American Heart Association, Inc.

30-day mortality and readmission after hemorrhagic stroke among Medicare beneficiaries in Joint Commission primary stroke center-certified and noncertified hospitals.

PubMed

Lichtman, Judith H; Jones, Sara B; Leifheit-Limson, Erica C; Wang, Yun; Goldstein, Larry B

2011-12-01

Ischemic stroke patients treated at Joint Commission Primary Stroke Center (JC-PSC)-certified hospitals have better outcomes. Data reflecting the impact of JC-PSC status on outcomes after hemorrhagic stroke are limited. We determined whether 30-day mortality and readmission rates after hemorrhagic stroke differed for patients treated at JC-PSC-certified versus noncertified hospitals. The study included all fee-for-service Medicare beneficiaries aged 65 years or older with a primary discharge diagnosis of subarachnoid hemorrhage (SAH) or intracerebral hemorrhage (ICH) in 2006. Covariate-adjusted logistic and Cox proportional hazards regression assessed the effect of care at a JC-PSC-certified hospital on 30-day mortality and readmission. There were 2305 SAH and 8708 ICH discharges from JC-PSC-certified hospitals and 3892 SAH and 22 564 ICH discharges from noncertified hospitals. Unadjusted in-hospital mortality (SAH: 27.5% versus 33.2%, P<0.0001; ICH: 27.9% versus 29.6%, P=0.003) and 30-day mortality (SAH: 35.1% versus 44.0%, P<0.0001; ICH: 39.8% versus 42.4%, P<0.0001) were lower in JC-PSC hospitals, but 30-day readmission rates were similar (SAH: 17.0% versus 17.0%, P=0.97; ICH: 16.0% versus 15.5%, P=0.29). Risk-adjusted 30-day mortality was 34% lower (odds ratio, 0.66; 95% confidence interval, 0.58-0.76) after SAH and 14% lower (odds ratio, 0.86; 95% confidence interval, 0.80-0.92) after ICH for patients discharged from JC-PSC-certified hospitals. There was no difference in 30-day risk-adjusted readmission rates for SAH or ICH based on JC-PSC status. Patients treated at JC-PSC-certified hospitals had lower risk-adjusted mortality rates for both SAH and ICH but similar 30-day readmission rates as compared with noncertified hospitals.

Profile and costs of secondary conditions resulting in emergency department presentations and readmission to hospital following traumatic spinal cord injury.

PubMed

Gabbe, Belinda J; Nunn, Andrew

2016-08-01

People with traumatic spinal cord injury (SCI) face complex challenges in their care, recovery and life. Secondary conditions can develop to involve many body systems and can impact health, function, quality of life, and community participation. These secondary conditions can be costly, and many are preventable. The aim of this study was to describe the type and direct costs of secondary conditions requiring readmission to hospital, or visit to an emergency department (ED), within the first two years following traumatic spinal cord injury (SCI). A retrospective cohort study using population-level linked data from hospital ED and admission datasets was undertaken in Victoria, Australia. The incidence and direct treatment costs of readmission to hospital and ED visit within 2-years post-injury for secondary conditions related to SCI were measured for the 356 persons with traumatic SCI with a date of injury from 2008 to 2011. Of the 356 cases, 141 (40%) experienced 366 (median 2, range 1-11) readmissions to hospital for secondary conditions. 95 (27%) visited an ED at least once, within two years of injury for a secondary condition. The cost of hospital readmissions was AUD$5,553,004 and AUD$87,790 for ED visits. The mean±SD cost was AUD$15,172±$20,957 per readmission and AUD$670±$198 per ED visit. Urological conditions (e.g. urinary tract infection) were most common, followed by pressure areas/ulcers for readmissions, and fractures in the ED. Hospitalisation for complications within two years of traumatic SCI was common and costly in Victoria, Australia. Improved bladder and pressure area management could result in substantial morbidity and cost savings following SCI. Copyright © 2016 Elsevier Ltd. All rights reserved.

Factors associated with hospital readmission following diverting ileostomy creation.

PubMed

Li, W; Stocchi, L; Cherla, D; Liu, G; Agostinelli, A; Delaney, C P; Steele, S R; Gorgun, E

2017-08-01

The creation of a diverting loop ileostomy is associated with the risk of readmission due to stoma-related complications. We hypothesized that the assessment of our institution-specific readmissions following ileostomy creation would help identifying at-risk groups which should be the focus of future preventative strategies. Patients who underwent loop ileostomy formation from 2009 to 2013 were reviewed. We evaluated readmissions within 30 days after discharge following loop ileostomy construction. Possible associations between readmission and demographic, disease-related and treatment-related factors were assessed using univariate and multivariate analyses. Out of 1267 patients undergoing loop ileostomy construction, 163 patients (12.9%) were readmitted. The main causes of readmissions were organ/space infections (43, 3.4%), small bowel obstruction/ileus (42, 3.3%) and dehydration (38, 3%). Independent factors associated with overall readmission were cardiovascular (OR = 2.0) and renal comorbidity (OR = 2.9), preoperative chemo/radiotherapy (OR = 4.0), laparoscopic approach (OR = 1.7) and longer operative time (OR = 1.2). Cancer diagnosis was associated with reduced readmission rates (OR = 0.2). Independent factors associated with readmission due to dehydration were chemo/radiotherapy (OR = 4.7) and laparoscopic approach (OR = 2.6). Dehydration associated with diverting ileostomy creation was relevant as an individual cause of readmission, but its overall incidence was relatively rare. Dedicated strategies to prevent dehydration should be directed to patients who received chemoradiotherapy and/or laparoscopic surgery.

Current Risk Adjustment and Comorbidity Index Underperformance in Predicting Post-Acute Utilization and Hospital Readmissions After Joint Replacements: Implications for Comprehensive Care for Joint Replacement Model.

PubMed

Kumar, Amit; Karmarkar, Amol; Downer, Brian; Vashist, Amit; Adhikari, Deepak; Al Snih, Soham; Ottenbacher, Kenneth

2017-11-01

To compare the performances of 3 comorbidity indices, the Charlson Comorbidity Index, the Elixhauser Comorbidity Index, and the Centers for Medicare & Medicaid Services (CMS) risk adjustment model, Hierarchical Condition Category (HCC), in predicting post-acute discharge settings and hospital readmission for patients after joint replacement. A retrospective study of Medicare beneficiaries with total knee replacement (TKR) or total hip replacement (THR) discharged from hospitals in 2009-2011 (n = 607,349) was performed. Study outcomes were post-acute discharge setting and unplanned 30-, 60-, and 90-day hospital readmissions. Logistic regression models were built to compare the performance of the 3 comorbidity indices using C statistics. The base model included patient demographics and hospital use. Subsequent models included 1 of the 3 comorbidity indices. Additional multivariable logistic regression models were built to identify individual comorbid conditions associated with high risk of hospital readmissions. The 30-, 60-, and 90-day unplanned hospital readmission rates were 5.3%, 7.2%, and 8.5%, respectively. Patients were most frequently discharged to home health (46.3%), followed by skilled nursing facility (40.9%) and inpatient rehabilitation facility (12.7%). The C statistics for the base model in predicting post-acute discharge setting and 30-, 60-, and 90-day readmission in TKR and THR were between 0.63 and 0.67. Adding the Charlson Comorbidity Index, the Elixhauser Comorbidity Index, or HCC increased the C statistic minimally from the base model for predicting both discharge settings and hospital readmission. The health conditions most frequently associated with hospital readmission were diabetes mellitus, pulmonary disease, arrhythmias, and heart disease. The comorbidity indices and CMS-HCC demonstrated weak discriminatory ability to predict post-acute discharge settings and hospital readmission following joint replacement. © 2017, American College of

Unhealthy alcohol use in older adults: Association with readmissions and emergency department use in the 30 days after hospital discharge☆

PubMed Central

Chavez, Laura J.; Liu, Chuan-Fen; Tefft, Nathan; Hebert, Paul L; Clark, Brendan J.; Rubinsky, Anna D.; Lapham, Gwen T.; Bradley, Katharine A.

2016-01-01

Background Unhealthy alcohol use could impair recovery of older patients after medical or surgical hospitalizations. However, no prior research has evaluated whether older patients who screen positive for unhealthy alcohol use are at increased risk of readmissions or emergency department (ED) visits within 30 days after discharge. This study examined the association between AUDIT-C alcohol screening results and 30-day readmissions or ED visits. Methods Veterans Affairs (VA) patients age 65 years or older, were eligible if they were hospitalized for a medical or surgical condition (2/1/2009–10/1/2011) and had an AUDIT-C score documented in their VA electronic medical record in the year before they were hospitalized. VA and Medicare data identified VA or non-VA index hospitalizations, readmissions, and ED visits. Primary analyses adjusted for demographics, comorbid conditions, and past-year health care utilization. Results Among 579,330 hospitalized patients, 13.7% were readmitted and 12.0% visited an ED within 30 days of discharge. In primary analyses, high-risk drinking (n = 7167) and nondrinking (n =357,086) were associated with increased probability of readmission (13.8%, 95% CI 13.0–14.6%; and 14.2%, 95% CI 14.1–14.3%, respectively), relative to low-risk drinking (12.9%; 95% CI 12.7–13.0%). Only nondrinkers had increased risk for ED visits. Conclusions Alcohol screening results indicating high-risk drinking that were available in medical records were modestly associated with risk for 30-day readmissions and were not associated with risk for ED visits. PMID:26644137

Scores of nutritional risk and parameters of nutritional status assessment as predictors of in-hospital mortality and readmissions in the general hospital population.

PubMed

Budzyński, Jacek; Tojek, Krzysztof; Czerniak, Beata; Banaszkiewicz, Zbigniew

2016-12-01

We have no "gold standard" for the diagnosis of malnutrition. The aim of this study was to determine the importance of many of the parameters used in nutritional status screening and assessment among inpatients for the prediction of in-hospital mortality, readmission and length of hospitalization. On the base of the medical documentation a retrospective analysis was performed of nutritional status screening and assessment parameters for all 20,237 non-selected, consecutive hospitalizations in 15,013 patients over 18 years of age treated in one hospital during the course of one year. The risk of malnutrition expressed as a Nutritional Risk Screening (NRS)-2002 score ≥ 3 concerned 6.4% hospitalizations. The greater risk of in-hospital death, as well as readmission within 14 days and 30 days, was related to an NRS-2002 score ≥3, age >65 years, male gender, urgent admission, body mass deficit calculated as the difference between actual body mass and ideal weight determined according to the Lorentz formula, higher degree of Instant Nutritional Assessment (INA), greater value of a C-reactive protein (CRP)/albumin ratio, and plasma glucose concentration. Whereas, greater blood concentration of albumin, hemoglobin, cholesterol and triglycerides, as well as a greater blood lymphocyte count, were associated with reduced risk of the measured outcomes. NRS-2002 score, blood albumin, CRP/albumin ratio, and INA seem to be good predictors of in-hospital mortality, readmission rate and length of hospital stay. Copyright © 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Opioid Abuse or Dependence Increases 30-day Readmission Rates after Major Operating Room Procedures: A National Readmissions Database Study.

PubMed

Gupta, Atul; Nizamuddin, Junaid; Elmofty, Dalia; Nizamuddin, Sarah L; Tung, Avery; Minhaj, Mohammed; Mueller, Ariel; Apfelbaum, Jeffrey; Shahul, Sajid

2018-05-01

Although opioids remain the standard therapy for the treatment of postoperative pain, the prevalence of opioid misuse is rising. The extent to which opioid abuse or dependence affects readmission rates and healthcare utilization is not fully understood. It was hypothesized that surgical patients with a history of opioid abuse or dependence would have higher readmission rates and healthcare utilization. A retrospective cohort analysis was performed of patients undergoing major operating room procedures in 2013 and 2014 using the National Readmission Database. Patients with opioid abuse or dependence were identified using International Classification of Diseases codes. The primary outcome was 30-day hospital readmission rate. Secondary outcomes included hospital length of stay and estimated hospital costs. Among the 16,016,842 patients who had a major operating room procedure whose death status was known, 94,903 (0.6%) had diagnoses of opioid abuse or dependence. After adjustment for potential confounders, patients with opioid abuse or dependence had higher 30-day readmission rates (11.1% vs. 9.1%; odds ratio 1.26; 95% CI, 1.22 to 1.30), longer mean hospital length of stay at initial admission (6 vs. 4 days; P < 0.0001), and higher estimated hospital costs during initial admission ($18,528 vs. $16,617; P < 0.0001). Length of stay was also higher at readmission (6 days vs. 5 days; P < 0.0001). Readmissions for infection (27.0% vs. 18.9%; P < 0.0001), opioid overdose (1.0% vs. 0.1%; P < 0.0001), and acute pain (1.0% vs. 0.5%; P < 0.0001) were more common in patients with opioid abuse or dependence. Opioid abuse and dependence are associated with increased readmission rates and healthcare utilization after surgery. An online visual overview is available for this article at http://links.lww.com/ALN/B704.

Complications, Hospital Length of Stay, and Readmission after Total Laryngectomy

PubMed Central

Goepfert, Ryan. P.; Hutcheson, Katherine A.; Lewin, Jan S.; Desai, Neha G.; Zafereo, Mark E.; Hessel, Amy C.; Lewis, Carol M.; Weber, Randal S.; Gross, Neil D.

2018-01-01

Background The purpose of this study was to describe the 30-day incidence of complications after total laryngectomy (TL) in a high-volume institution and their impact on hospital length of stay (LOS) and readmission rates. Methods A retrospective, cohort study of all patients who underwent TL at MD Anderson Cancer Center from January 1, 2010 through June 30, 2013 was conducted. Patient demographics, treatment history, LOS, and 30-day post-TL complications and readmissions were extracted from the medical record. Univariate associations were analyzed and stepwise backward selection methods were used to fit multivariate models. Results 245 patients were included. Complications occurred in 83 patients (33.9%) including 3 (1.2%) deaths. Wound complications occurred in 53 patients (21.6%), of which 34 were pharyngocutaneous fistula (PCF) (13.9% overall). 34 patients (13.9%) were readmitted within 30 days. Multivariate analysis revealed the following: wound complications were associated with former (OR 5.1, p=0.03) and current (OR 5.8, p=0.02) smokers; PCF was associated with prior wide-field radiation (OR 3.1, p=0.01) but not prior narrow-field (larynx only) radiation (OR 1.4, p=0.61); LOS was associated with type of flap (p=0.002) and post-operative hematoma (p=0.05); and readmissions were associated with pre-operative hypoalbuminemia (p=0.003) and post-operative wound complications (p<0.001). Conclusions Complications occurred in nearly one third of TL patients, particularly among patients with poor wound healing risk factors such as prior smoking and radiation. Expectedly, LOS was longer among reconstructed patients. Readmission was associated with hypoalbuminemia and post-operative wound complications. These data inform quality improvement efforts and counseling of high-risk patients undergoing TL. PMID:28026864

A Public-Private Partnership Develops and Externally Validates a 30-Day Hospital Readmission Risk Prediction Model

PubMed Central

Choudhry, Shahid A.; Li, Jing; Davis, Darcy; Erdmann, Cole; Sikka, Rishi; Sutariya, Bharat

2013-01-01

Introduction: Preventing the occurrence of hospital readmissions is needed to improve quality of care and foster population health across the care continuum. Hospitals are being held accountable for improving transitions of care to avert unnecessary readmissions. Advocate Health Care in Chicago and Cerner (ACC) collaborated to develop all-cause, 30-day hospital readmission risk prediction models to identify patients that need interventional resources. Ideally, prediction models should encompass several qualities: they should have high predictive ability; use reliable and clinically relevant data; use vigorous performance metrics to assess the models; be validated in populations where they are applied; and be scalable in heterogeneous populations. However, a systematic review of prediction models for hospital readmission risk determined that most performed poorly (average C-statistic of 0.66) and efforts to improve their performance are needed for widespread usage. Methods: The ACC team incorporated electronic health record data, utilized a mixed-method approach to evaluate risk factors, and externally validated their prediction models for generalizability. Inclusion and exclusion criteria were applied on the patient cohort and then split for derivation and internal validation. Stepwise logistic regression was performed to develop two predictive models: one for admission and one for discharge. The prediction models were assessed for discrimination ability, calibration, overall performance, and then externally validated. Results: The ACC Admission and Discharge Models demonstrated modest discrimination ability during derivation, internal and external validation post-recalibration (C-statistic of 0.76 and 0.78, respectively), and reasonable model fit during external validation for utility in heterogeneous populations. Conclusions: The ACC Admission and Discharge Models embody the design qualities of ideal prediction models. The ACC plans to continue its partnership to

Thirty-Day Readmissions in Hospitalized Patients Who Received Bezlotoxumab With Antibacterial Drug Treatment for Clostridium difficile Infection

PubMed Central

Prabhu, Vimalanand S; Cornely, Oliver A; Golan, Yoav; Dubberke, Erik R; Heimann, Sebastian M; Hanson, Mary E; Liao, Jane; Pedley, Alison; Dorr, Mary Beth; Marcella, Stephen

2017-01-01

Abstract We estimated 30-day all-cause and Clostridium difficile infection (CDI)–associated hospital readmissions in participants at high risk of recurrent CDI enrolled in MODIFY I/II. Bezlotoxumab-treated inpatients experienced fewer CDI-associated readmissions compared with placebo-treated inpatients, notably in participants aged ≥65 years and with severe CDI. Clinical Trials Registration. NCT01241552 (MODIFY I) and NCT01513239 (MODIFY II).

The probability of readmission within 30 days of hospital discharge is positively associated with inpatient bed occupancy at discharge--a retrospective cohort study.

PubMed

Blom, Mathias C; Erwander, Karin; Gustafsson, Lars; Landin-Olsson, Mona; Jonsson, Fredrik; Ivarsson, Kjell

2015-12-14

Previous work has suggested that given a hospital's need to admit more patients from the emergency department (ED), high inpatient bed occupancy may encourage premature hospital discharges that favor the hospital's need for beds over patients' medical interests. We argue that the effects of such action would be measurable as a greater proportion of unplanned hospital readmissions among patients discharged when the hospital was full than when not. In response, the present study tested this hypothesis by investigating the association between inpatient bed occupancy at the time of hospital discharge and the 30-day readmission rate. The sample included all inpatient admissions from the ED at a 420-bed emergency hospital in southern Sweden during 2011-2012 that resulted in discharge before 1 December 2012. The share of unplanned readmissions within 30 days was computed for levels of inpatient bed occupancy of <95%, 95-100%, 100-105% and >105% at the hour of discharge. A binary logistic regression model was constructed to adjust for age, time of discharge, and other factors that could affect the outcome. In all, 32,811 visits were included in the study, 9.9% of which resulted in an unplanned readmission within 30 days of discharge. The proportion of readmissions was 9.0% for occupancy levels of <95% at the patient's discharge, 10.2% for 95-100% occupancy, 10.8% for 100-105% occupancy, and 10.5% for >105% occupancy (p = 0.0001). Results from the multivariate models show that the OR (95% CI) of readmission was 1.11 (1.01-1.22) for patients discharged at 95-100% occupancy, 1.17 (1.06-1.29) at 100-105% occupancy, and 1.15 (0.99-1.34) at >105% occupancy. Results indicate that patients discharged from inpatient wards at times of high inpatient bed occupancy experience an increased risk of unplanned readmission within 30 days of discharge.

The dynamics of the emergency medical readmission - The underlying fundamentals.

PubMed

Byrne, Declan; O'Riordan, Deirdre; Conway, Richard; Cournane, Sean; Silke, Bernard

2017-11-01

Hospital readmissions are a perennial problem. We reviewed readmissions to one institution (2002-2015) and investigated their dynamics. 96,474 emergency admissions (in 50,701 patients) to an Irish hospital over a 15-year period were studied, and patterns surrounding early (<28days) and late (any other) readmissions determined. Univariate and logistic or truncated Poisson regression methods were employed. Early readmission rate averaged 9.6% (95% CI: 9.4, 9.8) with a low/high of 8.4% (95% CI: 7.8, 9.1) and 10.3% (95% CI: 9.6, 11.0) respectively with no overall time trend. Early readmissions represented 20.1% (95% CI: 19.8, 20.5) of emergency medical readmissions. Median time to first readmission was 55weeks (95% CI: 13, 159), time to second was 35weeks (95% CI: 9, 98); by the 7th/8th readmissions, intervals were 13weeks (95% CI: 4, 36) and 11weeks (95% CI: 4, 30). Readmissions were older 67.1years (95% CI: 48.3, 79.2) vs. single admissions 53.9years (34.3, 72.4) and stayed longer - 5.8days (2.7, 10.6) vs. 3.9days (1.5, 8.0). Readmissions had more Acute Illness Severity, Charlson Co-Morbidity and Chronic Disabling Disease. Between 2002 and 2015 the logistic adjusted model of 30-day in-hospital mortality reduced from 6.1% (95% CI: 5.7, 6.5) to 4.4% (95% CI: 4.1, 4.7) (RRR 30.4%). Early hospital readmission rate did not change over 15years despite improvements in hospital mortality outcomes. Readmissions have a consistent pattern related to patient illness and social characteristics; the fundamentals are driven by disease progression over time. Copyright © 2017 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Determining preventability of pediatric readmissions using fault tree analysis.

PubMed

Jonas, Jennifer A; Devon, Erin Pete; Ronan, Jeanine C; Ng, Sonia C; Owusu-McKenzie, Jacqueline Y; Strausbaugh, Janet T; Fieldston, Evan S; Hart, Jessica K

2016-05-01

Previous studies attempting to distinguish preventable from nonpreventable readmissions reported challenges in completing reviews efficiently and consistently. (1) Examine the efficiency and reliability of a Web-based fault tree tool designed to guide physicians through chart reviews to a determination about preventability. (2) Investigate root causes of general pediatrics readmissions and identify the percent that are preventable. General pediatricians from The Children's Hospital of Philadelphia used a Web-based fault tree tool to classify root causes of all general pediatrics 15-day readmissions in 2014. The tool guided reviewers through a logical progression of questions, which resulted in 1 of 18 root causes of readmission, 8 of which were considered potentially preventable. Twenty percent of cases were cross-checked to measure inter-rater reliability. Of the 7252 discharges, 248 were readmitted, for an all-cause general pediatrics 15-day readmission rate of 3.4%. Of those readmissions, 15 (6.0%) were deemed potentially preventable, corresponding to 0.2% of total discharges. The most common cause of potentially preventable readmissions was premature discharge. For the 50 cross-checked cases, both reviews resulted in the same root cause for 44 (86%) of files (κ = 0.79; 95% confidence interval: 0.60-0.98). Completing 1 review using the tool took approximately 20 minutes. The Web-based fault tree tool helped physicians to identify root causes of hospital readmissions and classify them as either preventable or not preventable in an efficient and consistent way. It also confirmed that only a small percentage of general pediatrics 15-day readmissions are potentially preventable. Journal of Hospital Medicine 2016;11:329-335. © 2016 Society of Hospital Medicine. © 2016 Society of Hospital Medicine.

Local Health Departments' Promotion of Mental Health Care and Reductions in 30-Day All-Cause Readmission Rates in Maryland.

PubMed

Chen, Jie; Novak, Priscilla; Barath, Deanna; Goldman, Howard; Mortensen, Karoline

2018-02-01

Individuals affected with mental health conditions, including mood disorders and substance abuse, are at an increased risk of hospital readmission. The objective of this study is to examine whether local health departments' (LHDs) active roles of promoting mental health are associated with reductions in 30-day all-cause readmission rates, a common quality metric. Using datasets linked from multiple sources, including 2012-2013 State Inpatient Databases for the State of Maryland, the National Association of County and City Health Officials Profiles Survey, the Area Health Resource File, and US Census data, we employed multivariate logistic models to examine whether LHDs' active provision of mental health preventive care, mental health services, and health promotion were associated with the likelihood of having any 30-day all-cause readmission. Multivariate logistic regressions showed that LHDs' provision of mental health preventive care, mental health services, and health promotion were negatively associated with the likelihoods of having any 30-day readmission for adults 18-64 years old (odds ratios=0.71-0.82, P<0.001), and adults 65 and above (odds ratios=0.61-0.63, P<0.001, preventive care and services, respectively). These estimated associations were more prominent among individuals with mental illness and/or substance use disorders, African Americans, Medicare, and Medicaid enrollees. Our results suggest that LHDs in Maryland that engage in mental health prevention, promotion, and coordination activities are associated with benefits for residents and for the health care system at large. Additional research is needed to evaluate LHD activities in other states to determine if these results are generalizable.

Impact of a COPD discharge care bundle on readmissions following admission with acute exacerbation: interrupted time series analysis.

PubMed

Laverty, Anthony A; Elkin, Sarah L; Watt, Hilary C; Millett, Christopher; Restrick, Louise J; Williams, Sian; Bell, Derek; Hopkinson, Nicholas S

2015-01-01

We evaluated the impact of a COPD discharge care bundle on readmission rates following hospitalisation with an acute exacerbation. Interrupted time series analysis, comparing readmission rates for COPD exacerbations at nine trusts that introduced the bundle, to two comparison groups; (1) other NHS trusts in London and (2) all other NHS trusts in England. Care bundles were implemented at different times for different NHS trusts, ranging from October 2009 to April 2011. Nine NHS acute trusts in the London, England. Patients aged 45 years and older admitted to an NHS acute hospital in England for acute exacerbation of COPD. Data come from Hospital Episode Statistics, April 2002 to March 2012. Annual trend readmission rates (and in total bed days) within 7, 28 and 90 days, before and after implementation. In hospitals introducing the bundle readmission rates were rising before implementation and falling afterwards (e.g. readmissions within 28 days +2.13% per annum (pa) pre and -5.32% pa post (p for difference in trends = 0.012)). Following implementation, readmission rates within 7 and 28 day were falling faster than among other trusts in London, although this was not statistically significant (e.g. readmissions within 28 days -4.6% pa vs. -3.2% pa, p = 0.44). Comparisons with a national control group were similar. The COPD discharge care bundle appeared to be associated with a reduction in readmission rate among hospitals using it. The significance of this is unclear because of changes to background trends in London and nationally.

Thirty-Day and 5-Year Readmissions following First Psychiatric Hospitalization: A System-Level Study of Ontario's Psychiatric Care.

PubMed

Chen, Sheng; Collins, April; Kidd, Sean A

2018-06-01

Analyses of representative, system-level data to examine trends in short- and longer-term readmission rates for psychiatric illnesses are largely absent. The objective of this article is to examine key trends and variables with implications for inpatient care as indicated by 30-day readmission and outpatient care as reflected by readmission within 5 years. Using OMHRS data from 2005 to 2015, patients who had their first inpatient admission were followed for 5 years to examine their subsequent 30-day and overall admission rates stratified by discharge time and diagnosis. The study cohort consisted of 42,280 patients. The 30-day and 5-year readmission rates for the entire cohort were 7.2% and 35.1%, respectively. Using a time course analysis of readmission for discharges in different years, both 30-day readmission and 5-year readmission rates decreased in a linear manner from 2005 to 2010, primarily because of readmission patterns for patients diagnosed with mood disorders and schizophrenia/other psychotic disorders. It was also evident that both demographic considerations such as age and gender and variables reflective of social determinants such as education level and employment were predictive of rehospitalization risk. The trends of decreasing readmission rates may be reflective of improvements in the quality of hospital and community-based outpatient care. Such system-level indicators warrant tracking and may inform more effective tertiary prevention.

Association of emergency department albuterol dispensing with pediatric asthma revisits and readmissions.

PubMed

Hall, A Brad; Novotny, April; Bhisitkul, Donna M; Melton, James; Regan, Tim; Leckie, Maureen

2017-06-01

Although pediatric asthma continues to be a highly studied disease, data to suggest clear strategies to decrease asthma related revisits or readmissions is lacking. The purpose of our study was to assess the effect of emergency department (ED) direct dispensing of beta-agonist metered dose inhalers on pediatric asthma ED revisit and readmission rates. We conducted a retrospective cohort study of pediatric patients discharged from the pediatric ED with a diagnosis of asthma. Our primary outcome measured the rate of asthma revisits to the ED or admissions to the hospital within 28 days. Logistic regression analysis was used to assess ED beta-agonist MDI dispensing and revisit and/or readmission as the outcome. A total of 853 patients met eligibility for inclusion in the study, with 657 enrolled in the Baseline group and 196 enrolled in the ED-MDI group. The Baseline group experienced a revisit and readmission rate of 7.0% (46/657) versus 2.6% (5/196) in the ED-MDI group, (p = 0.026). ED direct dispensing of MDIs was found to be independently associated with a decreased risk of revisit or readmission (odds ratio 0.37; 95% confidence interval 0.14-0.95). In our study, ED direct dispensing of beta-agonist MDIs resulted in a reduction in 28-day revisit and readmission to the hospital. Further studies should be performed to evaluate the economic impact of reducing these revisits and readmissions against the costs of maintaining a dispensing program. Our findings may support modification of asthma programs to include dispensing MDIs from the emergency department.

Is Profit Status of Inpatient Rehabilitation Facilities Independently Associated with 30-day Unplanned Hospital Readmission for Medicare Beneficiaries?

PubMed Central

Karmarkar, Amol; Lin, Yu-Li; Kuo, Yong-Fang; Ottenbacher, Kenneth J.; Graham, James E.

2017-01-01

Objective To investigate the effects of facility-level factors on 30-day unplanned risk-adjusted hospital readmission after Inpatient Rehabilitation Facilities (IRFs) discharge. Design We used the 100% Medicare claims data, covering 269,306 discharges from 1,094 IRFs between October 2010 and September 2011. We examined the association between hospital readmission and ten facility-level factors (number of discharges, disproportionate share percentage, profit status, teaching status, freestanding status, accreditation status, census region, stroke belt, location and median household income). Setting Discharge from IRFs. Participants Facilities (IRFs) serving Medicare fee-for-service beneficiaries. Intervention NA Main Outcome Measure(s) Risk Standardized Readmission Rate (RSRR) for 30-day hospital readmission. Results Profit status was the only IRF provider-level characteristic significantly associated with unplanned readmissions. For-profit IRFs had significantly higher RSRR (13.26 ± 0.51) as compared to non-profit IRFs (13.15 ± 0.47) (p<0.001). After controlling for all other facility characteristics (except for accreditation status due to collinearity), for-profit IRFs remained 0.1% point higher RSRR than non-profit IRFs, and census region was the only significant region-level characteristic, with the South showing the highest RSRR of all regions (p=0.005 for both, type III test). Conclusions Our findings support the inclusion of profit status on the IRF Compare website (a platform includes IRF comparators to indicate quality of services). For-profit IRFs had higher RSRR than non-profit IRFs for Medicare beneficiaries. The South had higher RSRR than other regions. The RSRR difference between for-profit and non-profit IRFs could be due to the combined effects of organizational and regional factors. PMID:28958606

Readmission for dehydration or renal failure after ileostomy creation.

PubMed

Paquette, Ian M; Solan, Patrick; Rafferty, Janice F; Ferguson, Martha A; Davis, Bradley R

2013-08-01

Ileostomy creation is a commonly performed operation in colorectal surgery; however, many patients develop complications such as dehydration postoperatively. Dehydration is often severe enough to warrant hospital readmission and may result in renal failure. The true incidence of this complication has not been well described. The aim of this study was to identify the rate of hospital readmission secondary to dehydration or renal failure within 30 days of ileostomy creation. Retrospective review of all patients undergoing ileostomy creation from 2007 to 2011 in a single colorectal practice of 4 surgeons was performed. Charts were reviewed to identify patients readmitted for dehydration or renal failure within 30 days of operation. Data were then analyzed to identify predictors of readmission, dehydration, and renal failure. Subset analysis compared patients readmitted with simple dehydration versus patients with renal failure. Two hundred one patients undergoing colorectal operations that included ileostomy creation within a 4-year period at a single institution for a variety of indications were included. The primary outcome measured was readmission for dehydration or renal failure. We observed a 17% 30-day readmission rate for dehydration or renal failure following ileostomy creation. Age greater than 50 was identified as an independent predictor of readmission with renal failure, whereas IPAA was predictive of readmission for simple dehydration, but not renal failure. Patients admitted with renal failure had significantly longer hospital stays and median hospital charges after readmission in comparison with patients admitted with simple dehydration. This study was limited by its retrospective nature and its limited sample size. Hospital readmission due to dehydration or renal failure following ileostomy creation is common, with age >50 being the strongest predictor for renal failure. Appropriate strategies to decrease dehydration and renal failure following

Discharge Processes and 30-Day Readmission Rates of Patients Hospitalized for Heart Failure on General Medicine and Cardiology Services.

PubMed

Salata, Brian M; Sterling, Madeline R; Beecy, Ashley N; Ullal, Ajayram V; Jones, Erica C; Horn, Evelyn M; Goyal, Parag

2018-05-01

Given high rates of heart failure (HF) hospitalizations and widespread adoption of the hospitalist model, patients with HF are often cared for on General Medicine (GM) services. Differences in discharge processes and 30-day readmission rates between patients on GM and those on Cardiology during the contemporary hospitalist era are unknown. The present study compared discharge processes and 30-day readmission rates of patients with HF admitted on GM services and those on Cardiology services. We retrospectively studied 926 patients discharged home after HF hospitalization. The primary outcome was 30-day all-cause readmission after discharge from index hospitalization. Although 60% of patients with HF were admitted to Cardiology services, 40% were admitted to GM services. Prevalence of cardiovascular and noncardiovascular co-morbidities were similar between patients admitted to GM services and Cardiology services. Discharge summaries for patients on GM services were less likely to have reassessments of ejection fraction, new study results, weights, discharge vital signs, discharge physical examinations, and scheduled follow-up cardiologist appointments. In a multivariable regression analysis, patients on GM services were more likely to experience 30-day readmissions compared with those on Cardiology services (odds ratio 1.43 95% confidence interval [1.05 to 1.96], p = 0.02). In conclusion, outcomes are better among those admitted to Cardiology services, signaling the need for studies and interventions focusing on noncardiology hospital providers that care for patients with HF. Copyright © 2018 Elsevier Inc. All rights reserved.

Comparison of health care costs and hospital readmission rates associated with negative pressure wound therapies.

PubMed

Law, Amy; Cyhaniuk, Anissa; Krebs, Blake

2015-03-01

A retrospective national claims database analysis evaluated total and wound-related costs (eg, hospital readmission rates) for patients with chronic wounds treated with negative pressure wound therapy (NPWT), comparing NPWT-V (V.A.C. Therapy, KCI, an Acelity company, San Antonio, TX) and NPWT-O (other non-KCI models of NPWT, the brands of which were not known to the researchers). Patients with ≥ 1 NPWT claim from January 2009-June 2012 in outpatient settings in the United States were included, if they had continuous medical and pharmacy benefits for 12 months before the initial index date of their NPWT claim and at least 3 months post index. Mean total health care costs were assessed at 3 months and 12 months; wound-related hospital readmission rates were assessed at 3 months and 6 months. Cost differences between cohorts were analyzed by t test and readmission rates were analyzed by chi-square test. At 3 months, the cohort of NPWT-V patients was significantly younger (59.2 vs 63.6 years, P < 0.01). The same patients were followed at 3, 6, and 12 months, although some fell out as time progressed. At the 3-month assessment, mean comorbidity scores did not differ between the NPWT-V group and the NPWT-O groups (3.38 vs 3.66). Total costs were lower for NPWT-V vs NPWT-O at 3 months ($35,498 vs $39,722, respectively; P = 0.08) and 12 months ($80,768 vs $111,212; P = 0.03). Significantly lower inpatient (P = 0.01), emergency room (P < 0.01), and home (P = 0.05) costs, despite higher (P = 0.04) NPWT costs, accounted for lower 12-month NPWT-V total costs. Wound-related readmission rates were significantly lower for NPWT-V at 3 months (5% vs 8%; P ≤ 0.01) and 6 months (6% vs 11%; P ≤ 0.01). For all wound types, NPWT-O patients had a 17-fold higher rate of switching to alternate NPWT models compared with NPWT-V patients. In this retrospective analysis, NPWT-V patients had lower total costs, lower wound-related costs, and lower hospital readmission rates than NPWT

California safety-net hospitals likely to be penalized by ACA value, readmission, and meaningful-use programs.

PubMed

Gilman, Matlin; Adams, E Kathleen; Hockenberry, Jason M; Wilson, Ira B; Milstein, Arnold S; Becker, Edmund R

2014-08-01

The Affordable Care Act includes provisions to increase the value obtained from health care spending. A growing concern among health policy experts is that new Medicare policies designed to improve the quality and efficiency of hospital care, such as value-based purchasing (VBP), the Hospital Readmissions Reduction Program (HRRP), and electronic health record (EHR) meaningful-use criteria, will disproportionately affect safety-net hospitals, which are already facing reduced disproportionate-share hospital (DSH) payments under both Medicare and Medicaid. We examined hospitals in California to determine whether safety-net institutions were more likely than others to incur penalties under these programs. To assess quality, we also examined whether mortality outcomes were different at these hospitals. Our study found that compared to non-safety-net hospitals, safety-net institutions had lower thirty-day risk-adjusted mortality rates in the period 2009-11 for acute myocardial infarction, heart failure, and pneumonia and marginally lower adjusted Medicare costs. Nonetheless, safety-net hospitals were more likely than others to be penalized under the VBP program and the HRRP and more likely not to meet EHR meaningful-use criteria. The combined effects of Medicare value-based payment policies on the financial viability of safety-net hospitals need to be considered along with DSH payment cuts as national policy makers further incorporate performance measures into the overall payment system. Project HOPE—The People-to-People Health Foundation, Inc.

Association Between Hospital Performance on Patient Safety and 30-Day Mortality and Unplanned Readmission for Medicare Fee-for-Service Patients With Acute Myocardial Infarction.

PubMed

Wang, Yun; Eldridge, Noel; Metersky, Mark L; Sonnenfeld, Nancy; Fine, Jonathan M; Pandolfi, Michelle M; Eckenrode, Sheila; Bakullari, Anila; Galusha, Deron H; Jaser, Lisa; Verzier, Nancy R; Nuti, Sudhakar V; Hunt, David; Normand, Sharon-Lise T; Krumholz, Harlan M

2016-07-12

Little is known regarding the relationship between hospital performance on adverse event rates and hospital performance on 30-day mortality and unplanned readmission rates for Medicare fee-for-service patients hospitalized for acute myocardial infarction (AMI). Using 2009-2013 medical record-abstracted patient safety data from the Agency for Healthcare Research and Quality's Medicare Patient Safety Monitoring System and hospital mortality and readmission data from the Centers for Medicare & Medicaid Services, we fitted a mixed-effects model, adjusting for hospital characteristics, to evaluate whether hospital performance on patient safety, as measured by the hospital-specific risk-standardized occurrence rate of 21 common adverse event measures for which patients were at risk, is associated with hospital-specific 30-day all-cause risk-standardized mortality and unplanned readmission rates for Medicare patients with AMI. The unit of analysis was at the hospital level. The final sample included 793 acute care hospitals that treated 30 or more Medicare patients hospitalized for AMI and had 40 or more adverse events for which patients were at risk. The occurrence rate of adverse events for which patients were at risk was 3.8%. A 1% point change in the risk-standardized occurrence rate of adverse events was associated with average changes in the same direction of 4.86% points (95% CI, 0.79-8.94) and 3.44% points (95% CI, 0.19-6.68) for the risk-standardized mortality and unplanned readmission rates, respectively. For Medicare fee-for-service patients discharged with AMI, hospitals with poorer patient safety performance were also more likely to have poorer performance on 30-day all-cause mortality and on unplanned readmissions. © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Functional Status Is Associated With 30-Day Potentially Preventable Hospital Readmissions After Inpatient Rehabilitation Among Aged Medicare Fee-for-Service Beneficiaries.

PubMed

Middleton, Addie; Graham, James E; Ottenbacher, Kenneth J

2018-06-01

To determine the association between patients' functional status at discharge from inpatient rehabilitation and 30-day potentially preventable hospital readmissions. A secondary objective was to examine the conditions resulting in these potentially preventable readmissions. Retrospective cohort study. Inpatient rehabilitation facilities submitting claims to Medicare. National cohort (N=371,846) of inpatient rehabilitation discharges among aged Medicare fee-for-service beneficiaries in 2013 to 2014. The average age was 79.1±7.6 years. Most were women (59.7%) and white (84.5%). Not applicable. (1) Observed rates and adjusted odds of 30-day potentially preventable hospital readmissions after inpatient rehabilitation and (2) primary diagnoses for readmissions. The overall rate of any 30-day hospital readmission after inpatient rehabilitation was 12.4% (n=46,265), and the overall rate of potentially preventable readmissions was 5.0% (n=18,477). Functional independence was associated with lower observed rates and adjusted odds ratios for potentially preventable readmissions. Observed rates for the highest versus lowest quartiles within each functional domain were as follows: self-care: 3.4% (95% confidence interval [CI], 3.3-3.5) versus 6.9% (95% CI, 6.7-7.1), mobility: 3.3% (95% CI, 3.2-3.4) versus 7.2% (95% CI, 7.0-7.4), and cognition: 3.5% (95% CI, 3.4-3.6) versus 6.2% (95% CI, 6.0-6.4), respectively. Similarly, adjusted odds ratios were as follows: self-care: .70 (95% CI, .67-.74), mobility: .64 (95% CI, .61-.68), and cognition: .84 (95% CI, .80-.89). Infection-related conditions (44.1%) were the most common readmission diagnoses followed by inadequate management of chronic conditions (31.2%) and inadequate management of other unplanned events (24.7%). Functional status at discharge from inpatient rehabilitation was associated with 30-day potentially preventable readmissions in our sample of aged Medicare beneficiaries. This information may help identify at

Variations in 30-day readmissions and length of stay among spine surgeons: a national study of elective spine surgery among US Medicare beneficiaries.

PubMed

Singh, Siddhartha; Sparapani, Rodney; Wang, Marjorie C

2018-06-01

OBJECTIVE Pay-for-performance programs are targeting hospital readmissions. These programs have an underlying assumption that readmissions are due to provider practice patterns that can be modified by a reduction in reimbursement. However, there are limited data to support the role of providers in influencing readmissions. To study this, the authors examined variations in readmission rates by spine surgeon within 30 days among Medicare beneficiaries undergoing elective lumbar spine surgery for degenerative conditions. METHODS The authors applied validated ICD-9-CM algorithms to 2003-2007 Medicare data to select beneficiaries undergoing elective inpatient lumbar spine surgery for degenerative conditions. Mixed models, adjusting for patient demographics, comorbidities, and surgery type, were used to estimate risk of 30-day readmission by the surgeon. Length of stay (LOS) was also studied using these same models. RESULTS A total of 39,884 beneficiaries were operated on by 3987 spine surgeons. The mean readmission rate was 7.2%. The mean LOS was 3.1 days. After adjusting for patient characteristics and surgery type, 1 surgeon had readmission rates significantly below the mean, and only 5 surgeons had readmission rates significantly above the mean. In contrast, for LOS, the patients of 288 surgeons (7.2%) had LOS significantly lower than the mean, and the patients of 397 surgeons (10.0%) had LOS significantly above the mean. These findings were robust to adjustments for surgeon characteristics and clustering by hospital. Similarly, hospital characteristics were not significantly associated with readmission rates, but LOS was associated with hospital for-profit status and size. CONCLUSIONS The authors found almost no variations in readmission rates by surgeon. These findings suggest that surgeon practice patterns do not affect the risk of readmission. Likewise, no significant variation in readmission rates by hospital characteristics were found. Strategies to reduce

30-Day Mortality and Readmission after Hemorrhagic Stroke among Medicare Beneficiaries in Joint Commission Primary Stroke Center Certified and Non-Certified Hospitals

PubMed Central

Lichtman, Judith H.; Jones, Sara B.; Leifheit-Limson, Erica C.; Wang, Yun; Goldstein, Larry B.

2012-01-01

Background and Purpose Ischemic stroke patients treated at Joint Commission Primary Stroke Center (JC-PSC) certified hospitals have better outcomes. Data reflecting the impact of JC-PSC status on outcomes after hemorrhagic stroke are limited. We determined whether 30-day mortality and readmission rates after hemorrhagic stroke differed for patients treated at JC-PSC certified versus non-certified hospitals. Methods The study included all fee-for-service Medicare beneficiaries ≥65 years old with a primary discharge diagnosis of subarachnoid hemorrhage (SAH) or intracerebral hemorrhage (ICH) in 2006. Covariate-adjusted logistic and Cox proportional hazards regression assessed the effect of care at a JC-PSC certified hospital on 30-day mortality and readmission. Results There were 2,305 SAH and 8,708 ICH discharges from JC-PSC certified hospitals and 3,892 SAH and 22,564 ICH discharges from non-certified hospitals. Unadjusted in-hospital mortality (SAH: 27.5% vs. 33.2%, p<0.0001; ICH: 27.9% vs. 29.6%, p=0.003) and 30-day mortality (SAH: 35.1% vs. 44.0%, p<0.0001; ICH: 39.8% vs. 42.4%, p<0.0001) were lower in JC-PSC hospitals, but 30-day readmission rates were similar (SAH: 17.0% vs. 17.0%, p=0.97; ICH: 16.0% vs. 15.5%; p=0.29). Risk-adjusted 30-day mortality was 34% lower (OR 0.66, 95% CI 0.58–0.76) after SAH and 14% lower (OR 0.86, 95% CI 0.80–0.92) after ICH for patients discharged from JC-PSC certified hospitals. There was no difference in 30-day risk-adjusted readmission rates for SAH or ICH based on JC-PSC status. Conclusions Patients treated at JC-PSC certified hospitals had lower risk-adjusted mortality rates for both SAH and ICH but similar 30-day readmission rates as compared with non-certified hospitals. PMID:22033986

Ethnic variations in unplanned readmissions and excess length of hospital stay: a nationwide record-linked cohort study.

PubMed

de Bruijne, Martine C; van Rosse, Floor; Uiters, Ellen; Droomers, Mariël; Suurmond, Jeanine; Stronks, Karien; Essink-Bot, Marie-Louise

2013-12-01

Studies in the USA have shown ethnic inequalities in quality of hospital care, but in Europe, this has never been analysed. We explored variations in indicators of quality of hospital care by ethnicity in the Netherlands. We analysed unplanned readmissions and excess length of stay (LOS) across ethnic groups in a large population of hospitalized patients over an 11-year period by linking information from the national hospital discharge register, the Dutch population register and socio-economic data. Data were analysed with stepwise logistic regression. Ethnic differences were most pronounced in older patients: all non-Western ethnic groups > 45 years had an increased risk for excess LOS compared with ethnic Dutch patients, with odds ratios (ORs) (adjusted for case mix) varying from 1.05 [95% confidence intervals (95% CI) 1.02-1.08] for other non-Western patients to 1.14 (95% CI 1.07-1.22) for Moroccan patients. The risk for unplanned readmission in patients >45 years was increased for Turkish (OR 1.24, 95% CI 1.18-1.30) and Surinamese patients (OR 1.11, 95% CI 1.07-1.16). These differences were explained partially, although not substantially, by differences in socio-economic status. We found significant ethnic variations in unplanned readmissions and excess LOS. These differences may be interpretable as shortcomings in the quality of hospital care delivered to ethnic minority patients, but exclusion of alternative explanations (such as differences in patient- and community-level factors, which are outside hospitals' control) requires further research. To quantify potential ethnic inequities in hospital care in Europe, we need empirical prospective cohort studies with solid quality outcomes such as adverse event rates.

Predicting readmission risk with institution-specific prediction models.

PubMed

Yu, Shipeng; Farooq, Faisal; van Esbroeck, Alexander; Fung, Glenn; Anand, Vikram; Krishnapuram, Balaji

2015-10-01

The ability to predict patient readmission risk is extremely valuable for hospitals, especially under the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services which went into effect starting October 1, 2012. There is a plethora of work in the literature that deals with developing readmission risk prediction models, but most of them do not have sufficient prediction accuracy to be deployed in a clinical setting, partly because different hospitals may have different characteristics in their patient populations. We propose a generic framework for institution-specific readmission risk prediction, which takes patient data from a single institution and produces a statistical risk prediction model optimized for that particular institution and, optionally, for a specific condition. This provides great flexibility in model building, and is also able to provide institution-specific insights in its readmitted patient population. We have experimented with classification methods such as support vector machines, and prognosis methods such as the Cox regression. We compared our methods with industry-standard methods such as the LACE model, and showed the proposed framework is not only more flexible but also more effective. We applied our framework to patient data from three hospitals, and obtained some initial results for heart failure (HF), acute myocardial infarction (AMI), pneumonia (PN) patients as well as patients with all conditions. On Hospital 2, the LACE model yielded AUC 0.57, 0.56, 0.53 and 0.55 for AMI, HF, PN and All Cause readmission prediction, respectively, while the proposed model yielded 0.66, 0.65, 0.63, 0.74 for the corresponding conditions, all significantly better than the LACE counterpart. The proposed models that leverage all features at discharge time is more accurate than the models that only leverage features at admission time (0.66 vs. 0.61 for AMI, 0.65 vs. 0.61 for HF, 0.63 vs. 0.56 for PN, 0.74 vs. 0.60 for All

Leveraging lean principles in creating a comprehensive quality program: The UCLA health readmission reduction initiative.

PubMed

Afsar-Manesh, Nasim; Lonowski, Sarah; Namavar, Aram A

2017-12-01

UCLA Health embarked to transform care by integrating lean methodology in a key clinical project, Readmission Reduction Initiative (RRI). The first step focused on assembling a leadership team to articulate system-wide priorities for quality improvement. The lean principle of creating a culture of change and accountability was established by: 1) engaging stakeholders, 2) managing the process with performance accountability, and, 3) delivering patient-centered care. The RRI utilized three major lean principles: 1) A3, 2) root cause analyses, 3) value stream mapping. Baseline readmission rate at UCLA from 9/2010-12/2011 illustrated a mean of 12.1%. After the start of the RRI program, for the period of 1/2012-6/2013, the readmission rate decreased to 11.3% (p<0.05). To impact readmissions, solutions must evolve from smaller service- and location-based interventions into strategies with broader approach. As elucidated, a systematic clinical approach grounded in lean methodologies is a viable solution to this complex problem. Copyright © 2017 Elsevier Inc. All rights reserved.

Lack of Evidence for Racial Disparity in 30-Day All-Cause Readmission Rate for Older US Veterans Hospitalized with Heart Failure.

PubMed

Kheirbek, Raya Elfadel; Wojtusiak, Janusz; Vlaicu, Sorina O; Alemi, Farrokh

Heart failure is the leading cause for 30-day all-cause readmission. Although racial disparities in health care are well documented, their impact on 30-day all-cause readmission rate is inconclusive. We examined the impact of racial disparity on 30-day readmission for hospitalized patients with heart failure. This is a retrospective secondary data analysis for a large veteran cohort in 130 Veterans Affairs Medical Centers. Propensity scores were used to reduce differences in age, gender, survival days, and comorbidities in index hospitalization among 46 524 whites and 14 124 African Americans (AA). At index hospitalization, AA patients were younger (73.04 vs 67.10 years, t = -54.58, P < .000) and less likely to have myocardial infarcts (8.02% vs 9.80%, t = -6.36, P = .000), peripheral vascular disease (15.25% vs 22.51%, t = -18.68, P = .000), chronic obstructive pulmonary disease (39.59% vs 50.05%, t = -21.89, P < .000), and complicated diabetes (23.42% vs 26.24%, t = -6.73, P = .000). AA patients had lower mortality 30 days post-index hospitalization (3.51% vs 5.69%, t = -10.23, P = .000). In contrast, AA patients were more likely to have renal disease (44.03% vs 38.71%, t = 11.32, P < .000) and HIV/AIDS (1.56% vs 0.20%, t = 19.71, P < .000). The 30-day all-cause readmission rate before adjustments was 17.82% for AA patients versus 18.72% for white patients. There was no difference in the 2 rates after adjustments (18% vs 18%; odds of readmission = 1.002, z = 0.08, P = .937). In a large Department of Veterans Affairs (VA) cohort, white and AA veterans hospitalized for heart failure had similar 30-day all-cause readmission rates after adjustments were made for age, gender, survival days, and comorbidities. However, the 30-day all-cause mortality rate was higher for white patients than for AA patients. Future prospective studies are needed to validate results and test generalizability outside the VA system of care.

Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.

PubMed

Jovanovic, Milos; Radovanovic, Sandro; Vukicevic, Milan; Van Poucke, Sven; Delibasic, Boris

2016-09-01

Quantification and early identification of unplanned readmission risk have the potential to improve the quality of care during hospitalization and after discharge. However, high dimensionality, sparsity, and class imbalance of electronic health data and the complexity of risk quantification, challenge the development of accurate predictive models. Predictive models require a certain level of interpretability in order to be applicable in real settings and create actionable insights. This paper aims to develop accurate and interpretable predictive models for readmission in a general pediatric patient population, by integrating a data-driven model (sparse logistic regression) and domain knowledge based on the international classification of diseases 9th-revision clinical modification (ICD-9-CM) hierarchy of diseases. Additionally, we propose a way to quantify the interpretability of a model and inspect the stability of alternative solutions. The analysis was conducted on >66,000 pediatric hospital discharge records from California, State Inpatient Databases, Healthcare Cost and Utilization Project between 2009 and 2011. We incorporated domain knowledge based on the ICD-9-CM hierarchy in a data driven, Tree-Lasso regularized logistic regression model, providing the framework for model interpretation. This approach was compared with traditional Lasso logistic regression resulting in models that are easier to interpret by fewer high-level diagnoses, with comparable prediction accuracy. The results revealed that the use of a Tree-Lasso model was as competitive in terms of accuracy (measured by area under the receiver operating characteristic curve-AUC) as the traditional Lasso logistic regression, but integration with the ICD-9-CM hierarchy of diseases provided more interpretable models in terms of high-level diagnoses. Additionally, interpretations of models are in accordance with existing medical understanding of pediatric readmission. Best performing models have

Early Ambulation Among Hospitalized Heart Failure Patients Is Associated With Reduced Length of Stay and 30-Day Readmissions.

PubMed

Fleming, Lisa M; Zhao, Xin; DeVore, Adam D; Heidenreich, Paul A; Yancy, Clyde W; Fonarow, Gregg C; Hernandez, Adrian F; Kociol, Robb D

2018-04-01

Early ambulation (EA) is associated with improved outcomes for mechanically ventilated and stroke patients. Whether the same association exists for patients hospitalized with acute heart failure is unknown. We sought to determine whether EA among patients hospitalized with heart failure is associated with length of stay, discharge disposition, 30-day post discharge readmissions, and mortality. The study population included 369 hospitals and 285 653 patients with heart failure enrolled in the Get With The Guidelines-Heart Failure registry. We used multivariate logistic regression with generalized estimating equations at the hospital level to identify predictors of EA and determine the association between EA and outcomes. Sixty-five percent of patients ambulated by day 2 of the hospital admission. Patient-level predictors of EA included younger age, male sex, and hospitalization outside of the Northeast ( P <0.01 for all). Hospital size and academic status were not predictive. Hospital-level analysis revealed that those hospitals with EA rates in the top 25% were less likely to have a long length of stay (defined as >4 days) compared with those in the bottom 25% (odds ratio, 0.83; confidence interval, 0.73-0.94; P =0.004). Among a subgroup of fee-for-service Medicare beneficiaries, we found that hospitals in the highest quartile of rates of EA demonstrated a statistically significant 24% lower 30-day readmission rates ( P <0.0001). Both end points demonstrated a dose-response association and statistically significant P for trend test. Multivariable-adjusted hospital-level analysis suggests an association between EA and both shorter length of stay and lower 30-day readmissions. Further prospective studies are needed to validate these findings. © 2018 American Heart Association, Inc.

Investigating the effect of sociodemographic factors on 30-day hospital readmission among medical patients in Toronto, Canada: a prospective cohort study

PubMed Central

Kuluski, Kerry; Costa, Andrew P; Sinha, Samir K; Glazier, Richard H; Forster, Alan; Jeffs, Lianne

2017-01-01

Objective To examine the influence of patient-level sociodemographic factors on the incidence of hospital readmission within 30 days among medical patients in a large Canadian metropolitan city. Design Prospective cohort study. Setting and participants Patients admitted to the General Internal Medicine service of an urban teaching hospital in Toronto, Canada participated in a survey of sociodemographic information. Patients were not surveyed if deemed medically unstable, receiving care in medical/surgical step-down beds or were isolated for infection control. Included in the final analysis was a diverse cohort of 1427 adult, non-palliative, patients who were discharged home. Measures Thirteen patient-level sociodemographic variables were examined in relation to time to unplanned all-cause readmission within 30 days. Illness level was accounted for by the following covariates: self-perceived health status, previous hospital utilisation, primary diagnosis case mix group, Charlson Comorbidity Index score and inpatient length of stay. Results Approximately, 14.4% (n=205) of patients experienced readmission within 30 days. Sociodemographic factors were not significantly associated with time to readmission in unadjusted and adjusted analyses. Indicators of illness level, namely, previous hospitalisations, were the strongest risk factors for readmission within this cohort. One previous admission (adjusted HR 1.78; 95% CI 1.22 to 2.59, P<0.01) and at least four previous emergency department visits (adjusted HR 2.33; 95% CI 1.46 to 4.43, P<0.01) were associated with increased hazard of readmission within 30 days. Conclusions Patient-level sociodemographic factors did not influence the incidence of unplanned all-cause readmission within 30 days. Further research is needed to understand the generalisability of our findings and investigate whether contextual factors, such as access to universal health insurance coverage, attenuate the effects of sociodemographic factors

Thirty-day unplanned hospital readmission in ovarian cancer patients undergoing primary or interval cytoreductive surgery: systematic literature review.

PubMed

Clark, Rachel M; Rice, Laurel W; Del Carmen, Marcela G

2018-06-18

Thirty-day readmission rate has been proposed as metric of quality and remains an ongoing clinical concern in the primary treatment of patients with advanced-stage ovarian epithelial ovarian cancer. We conducted a review of the literature to identify rates, risk factors, and predictors for 30-day readmission in this population. A 10-year period MEDLINE (PubMed) search of English literature studies published between January 01, 2008-January 01, 2018 was performed to identify appropriate studies for review. Thirty -day readmission rates for ovarian cancer patients undergoing primary treatment ranged from 2.5-19.3%. Neoadjuvant chemotherapy and interval cytoreductive surgery (NACT-ICS) surgery was associated with lower readmission rates, when compared to primary debulking surgery (PDS). The most frequently reported adverse events resulting in readmission include inpatient management of ileus/small bowel obstruction, wound-related complications, and thromboembolic events. Readmission predictors included the presence of other medical comorbidities, re-operation, and major complications occurring after initial hospital discharge. Some studies reported lower rates of readmission and survival in patients treated by NACT-ICS. Policies and programs should be designed to measure short- and long-term outcomes in this patient population to avoid bias in assigning patients to NACT-ICS to maintain low 30-day readmission rates. Copyright © 2018 Elsevier Inc. All rights reserved.

Contextual, organizational and ecological effects on the variations in hospital readmissions of rural Medicare beneficiaries in eight southeastern states.

PubMed

Wan, Thomas T H; Ortiz, Judith; Du, Alice; Golden, Adam G

2017-03-01

The enactment of the Patient Protection and Affordable Care Act (ACA) has been expected to improve the coverage of health insurance, particularly as related to the coordination of seamless care and the continuity of elder care among Medicare beneficiaries. The analysis of longitudinal data (2007 through 2013) in rural areas offers a unique opportunity to examine trends and patterns of rural disparities in hospital readmissions within 30 days of discharge among Medicare beneficiaries served by rural health clinics (RHCs) in the eight southeastern states of the Department of Health & Human Services (DHHS) Region 4. The purpose of this study is twofold: first, to examine rural trends and patterns of hospital readmission rates by state and year (before and after the ACA enactment); and second, to investigate how contextual (county characteristic), organizational (clinic characteristic) and ecological (aggregate patient characteristic) factors may influence the variations in repeat hospitalizations. The unit of analysis is the RHC. We used administrative data compiled from multiple sources for the Centers of Medicare and Medicaid Services for a period of seven years. From 2007 to 2008, risk-adjusted readmission rates increased slightly among Medicare beneficiaries served by RHCs. However, the rate declined in 2009 through 2013. A generalized estimating equation of sixteen predictors was analyzed for the variability in risk-adjusted readmission rates. Nine predictors were statistically associated with the variability in risk-adjusted readmission rates of the RHCs pooled from 2007 through 2013 together. The declined rates were associated with by the ACA effect, Georgia, North Carolina, South Carolina, and the percentage of elderly population in a county where RHC is located. However, the increase of risk-adjusted rates was associated with the percentage of African Americans in a county, the percentage of dually eligible patients, the average age of patients, and the

Contextual, organizational and ecological effects on the variations in hospital readmissions of rural Medicare beneficiaries in eight southeastern states

PubMed Central

Ortiz, Judith; Du, Alice; Golden, Adam G.

2016-01-01

The enactment of the Patient Protection and Affordable Care Act (ACA) has been expected to improve the coverage of health insurance, particularly as related to the coordination of seamless care and the continuity of elder care among Medicare beneficiaries. The analysis of longitudinal data (2007 through 2013) in rural areas offers a unique opportunity to examine trends and patterns of rural disparities in hospital readmissions within 30 days of discharge among Medicare beneficiaries served by rural health clinics (RHCs) in the eight southeastern states of the Department of Health & Human Services (DHHS) Region 4. The purpose of this study is twofold: first, to examine rural trends and patterns of hospital readmission rates by state and year (before and after the ACA enactment); and second, to investigate how contextual (county characteristic), organizational (clinic characteristic) and ecological (aggregate patient characteristic) factors may influence the variations in repeat hospitalizations. The unit of analysis is the RHC. We used administrative data compiled from multiple sources for the Centers of Medicare and Medicaid Services for a period of seven years. From 2007 to 2008, risk-adjusted readmission rates increased slightly among Medicare beneficiaries served by RHCs. However, the rate declined in 2009 through 2013. A generalized estimating equation of sixteen predictors was analyzed for the variability in risk-adjusted readmission rates. Nine predictors were statistically associated with the variability in risk-adjusted readmission rates of the RHCs pooled from 2007 through 2013 together. The declined rates were associated with by the ACA effect, Georgia, North Carolina, South Carolina, and the percentage of elderly population in a county where RHC is located. However, the increase of risk-adjusted rates was associated with the percentage of African Americans in a county, the percentage of dually eligible patients, the average age of patients, and the

Reducing hospital readmission through team-based primary care: A 7-week pilot study integrating behavioral health and pharmacy.

PubMed

DeCaporale-Ryan, Lauren N; Ahmed-Sarwar, Nabila; Upham, Robbyn; Mahler, Karen; Lashway, Katie

2017-06-01

A team-based service delivery model was applied to provide patients with biopsychosocial care following hospital discharge to reduce hospital readmission. Most previous interventions focused on transitions of care occurred in the inpatient setting with attention to predischarge strategies. These interventions have not considered psychosocial stressors, and few have explored management in primary care settings. A 7-week team-based service delivery model was implemented in a family medicine practice emphasizing a biopsychosocial approach. A physician, psychologist, pharmacist, care managers, and interdisciplinary trainees worked with 17 patients following hospital discharge. This comprehensive evaluation assessed patients' mood, cognitive abilities, and self-management of health behaviors. Modifications were made to improve ease of access to outpatient care and to improve patient understanding of the therapeutic plan. This pilot study was conducted to determine the utility of the model. Of 17 patients, 15 individuals avoided readmission at 30- and 90-day intervals. Other substantial benefits were noted, including reduced polypharmacy, engagement in specialty care, and reduction of environmental stressors to improve access to care. The clinic in which this was implemented is currently making efforts to maintain this model of care based on observed success. Although this work only represents a small sample, results are encouraging. This model can be replicated in other primary care settings with specialty clinicians on site. Specifically, approaches that promote a team-based delivery in a primary care setting may support improved patient outcomes and reduced overall systems' costs. Recommendations for research in a clinical setting are also offered. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Feasibility of using a pediatric call center as part of a quality improvement effort to prevent hospital readmission.

PubMed

Kirsch, Sallie Davis; Wilson, Lauren S; Harkins, Michelle; Albin, Dawn; Del Beccaro, Mark A

2015-01-01

The primary aim of this intervention was to assess the feasibility of using call center nurses who are experts in telephone triage to conduct post discharge telephone calls, as part of a quality improvement effort to prevent hospital readmission. Families of patients with bronchiolitis were called between 24 and 48 hours after discharge. The calls conducted by the nurses were efficient (average time was 12 minutes), and their assessments helped to identify gaps in inpatient family education. Overall, the project demonstrated the efficacy in readmission prevention by using nurses who staff a call center to conduct post-hospitalization telephone calls. Copyright © 2015 Elsevier Inc. All rights reserved.

Procedural trends, outcomes, and readmission rates pre-and post-FDA approval for MitraClip from the National Readmission Database (2013-14).

PubMed

Panaich, Sidakpal S; Arora, Shilpkumar; Badheka, Apurva; Kumar, Varun; Maor, Elad; Raphael, Claire; Deshmukh, Abhishek; Reeder, Guy; Eleid, Mackram; Rihal, Charanjit S

2018-05-01

There are sparse clinical data on the procedural trends, outcomes and readmission rates following FDA approval and expansion of Transcatheter mitral valve repair/MitraClip ® . Whether a complex new technology can be disseminated safely and quickly is controversial. The study cohort was derived from the National Readmission Data (NRD) 2013-14. MitraClip ® was identified using appropriate International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes. The primary outcome was a composite of in-hospital mortality + procedural complications. Secondary outcome included 30-day readmissions. Hierarchical two level logistic models were used to evaluate study outcomes. Our analysis included 2003 MitraClip ® procedures. Overall in-hospital mortality was 3.9%. As expected, there was a significant increase in procedural volume post-FDA approval. Importantly, a corresponding downward trend in mortality and procedural complications was observed. Significant predictors of in-hospital mortality and procedural complications included the use of vasopressors (P <0.001) and hemodynamic support (P < 0.001). Higher hospital volume (≥10 MitraClips/year) was associated with lower in-hospital mortality and complications (P = 0.02). There were 304 (15.1%) 30-day readmissions, with heart failure being the most common cause of readmission. Elective procedures had lower in-hospital mortality (P < 0.001) and lower readmission rates (P = 0.011) compared with nonelective procedures. A significant increase in MitraClip ® procedural volumes occurred post-FDA approval. Overall morbidity and mortality were low and trended downwards. Hospital procedure volume ≥10 cases were associated with lower mortality and overall complication rates. These data suggest a successful roll out of a very complex novel structural heart procedure. © 2017 Wiley Periodicals, Inc.

Defining Rates and Risk Factors for Readmissions Following Emergency General Surgery.

PubMed

Havens, Joaquim M; Olufajo, Olubode A; Cooper, Zara R; Haider, Adil H; Shah, Adil A; Salim, Ali

2016-04-01

Hospital readmission rates following surgery are increasingly being used as a marker of quality of care and are used in pay-for-performance metrics. To our knowledge, comprehensive data on readmissions to the initial hospital or a different hospital after emergency general surgery (EGS) procedures do not exist. To define readmission rates and identify risk factors for readmission after common EGS procedures. Patients undergoing EGS, as defined by the American Association for the Surgery of Trauma, were identified in the California State Inpatient Database (2007-2011) on January 15, 2015. Patients were 18 years and older. We identified the 5 most commonly performed EGS procedures in each of 11 EGS diagnosis groups. Patient demographics (sex, age, race/ethnicity, and insurance type) as well as Charlson Comorbidity Index score, length of stay, complications, and discharge disposition were collected. Factors associated with readmission were determined using multivariate logistic regression models analysis. Thirty-day hospital readmission. Among 177,511 patients meeting inclusion criteria, 57.1% were white, 48.8% were privately insured, and most were 45 years and older (51.3%). Laparoscopic appendectomy (35.2%) and laparoscopic cholecystectomy (19.3%) were the most common procedures. The overall 30-day readmission rate was 5.91%. Readmission rates ranged from 4.1% (upper gastrointestinal) to 16.8% (cardiothoracic). Of readmitted patients, 16.8% were readmitted at a different hospital. Predictors of readmission included Charlson Comorbidity Index score of 2 or greater (adjusted odds ratio: 2.26 [95% CI, 2.14-2.39]), leaving against medical advice (adjusted odds ratio: 2.24 [95% CI, 1.89-2.66]), and public insurance (adjusted odds ratio: 1.55 [95% CI, 1.47-1.64]). The most common reasons for readmission were surgical site infections (16.9%), gastrointestinal complications (11.3%), and pulmonary complications (3.6%). Readmission after EGS procedures is common and varies

Impact of care coaching on hospital length of stay, readmission rates, postdischarge phone calls, and patient satisfaction after bariatric surgery.

PubMed

Jalilvand, Anahita; Suzo, Andrew; Hornor, Melissa; Layton, Kristina; Abdel-Rasoul, Mahmoud; Macadam, Luke; Mikami, Dean; Needleman, Bradley; Noria, Sabrena

2016-11-01

Bariatric surgery is well established as an effective means of treating obesity; however, 30-day readmission rates remain high. The Bariatric Care Coaching Program was developed in response to a perceived need for better communication with patients upon discharge from hospital and prior to being seen at their first postoperative visit. The lack of communication was apparent from the number of patient phone calls to clinic and readmissions to hospital. The aim of this study was to evaluate the impact of the care coaching program on hospital length of stay (LOS), readmission rates, patient phone calls, and patient satisfaction. The study was conducted at The Ohio State University Wexner Medical Center. A retrospective review was conducted on patients who had primary bariatric surgery from July 1, 2013 to June 30, 2015. The control group included patients who underwent surgery from July 1, 2013 to June 30, 2014, before development of the program, and the experimental group was composed of patients who received care coaching from July 1, 2014 to June 30, 2015. Demographics, postoperative complications, LOS, clinic phone calls, and hospital readmissions, prior to the first postoperative visit, were collected from medical records. Patient satisfaction scores were collected from the Hospital Consumer Assessment of Healthcare Providers and Systems Survey [HCAHPS]. Differences between study groups were assessed and P values <0.05 were considered statistically significant. There were 261 and 264 patients in the care-coach and control groups, respectively. The care-coached group had fewer patients with intractable nausea/vomiting (P = .0164) and a shorter mean LOS (P = .032). Subgroup analysis indicated that the difference in LOS was evident for laparoscopic sleeve gastrectomy (P = .002). There was no difference in readmission rates (P = .841) or phone calls to clinic (P = .407). HCAHPS scores demonstrated an improvement in patients' perception of communication regarding

Thirty-Day Readmission Among Patients With Non-variceal Upper Gastrointestinal Hemorrhage and Effects on Outcomes.

PubMed

Abougergi, Marwan S; Peluso, Heather; Saltzman, John R

2018-03-28

We aimed to determine the rate of hospital readmission within 30 days of non-variceal upper gastrointestinal hemorrhage and its impact on mortality, morbidity, and health care use in the United States. We performed a retrospective study using the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project Nationwide Readmission Database for the year 2014 (data on 14.9 million hospital stays at 2048 hospitals in 22 states). We collected data on hospital readmissions of 203,220 adults who were hospitalized for urgent non-variceal upper gastrointestinal hemorrhage and discharged. The primary outcome was rate of all-cause readmission within 30 days of discharge. Secondary outcomes were reasons for readmission, readmission mortality rate, morbidity (shock and prolonged mechanical ventilation) and resource use (length of stay and total hospitalization costs and charges). Independent risk factors for readmission were identified using Cox regression analysis. The 30-day rate of readmission was 13%. Only 18% of readmissions were due to recurrent non-variceal upper gastrointestinal bleeding. The rate of death among patients readmitted to the hospital (4.7%) was higher than that for index admissions (1.9%) (P < .01). A higher proportion of readmitted patients had morbidities requiring prolonged mechanical ventilation (1.5%) compared with index admissions (0.8%) (P < .01). A total of 133,368 hospital days was associated with readmission, and the total health care in-hospital economic burden was $30.3 million (in costs) and $108 million (in charges). Independent predictors of readmission were Medicaid insurance, higher Charlson comorbidity score, lower income, residence in a metropolitan area, hemorrhagic shock, and longer stays in the hospital. Older age, private or no insurance, upper endoscopy, and prolonged mechanical ventilation were associated with lower odds for readmission. In a retrospective study of patients hospitalized for non

Predicting hospital stay, mortality and readmission in people admitted for hypoglycaemia: prognostic models derivation and validation.

PubMed

Zaccardi, Francesco; Webb, David R; Davies, Melanie J; Dhalwani, Nafeesa N; Gray, Laura J; Chatterjee, Sudesna; Housley, Gemma; Shaw, Dominick; Hatton, James W; Khunti, Kamlesh

2017-06-01

Hospital admissions for hypoglycaemia represent a significant burden on individuals with diabetes and have a substantial economic impact on healthcare systems. To date, no prognostic models have been developed to predict outcomes following admission for hypoglycaemia. We aimed to develop and validate prediction models to estimate risk of inpatient death, 24 h discharge and one month readmission in people admitted to hospital for hypoglycaemia. We used the Hospital Episode Statistics database, which includes data on all hospital admission to National Health Service hospital trusts in England, to extract admissions for hypoglycaemia between 2010 and 2014. We developed, internally and temporally validated, and compared two prognostic risk models for each outcome. The first model included age, sex, ethnicity, region, social deprivation and Charlson score ('base' model). In the second model, we added to the 'base' model the 20 most common medical conditions and applied a stepwise backward selection of variables ('disease' model). We used C-index and calibration plots to assess model performance and developed a calculator to estimate probabilities of outcomes according to individual characteristics. In derivation samples, 296 out of 11,136 admissions resulted in inpatient death, 1789/33,825 in one month readmission and 8396/33,803 in 24 h discharge. Corresponding values for validation samples were: 296/10,976, 1207/22,112 and 5363/22,107. The two models had similar discrimination. In derivation samples, C-indices for the base and disease models, respectively, were: 0.77 (95% CI 0.75, 0.80) and 0.78 (0.75, 0.80) for death, 0.57 (0.56, 0.59) and 0.57 (0.56, 0.58) for one month readmission, and 0.68 (0.67, 0.69) and 0.69 (0.68, 0.69) for 24 h discharge. Corresponding values in validation samples were: 0.74 (0.71, 0.76) and 0.74 (0.72, 0.77), 0.55 (0.54, 0.57) and 0.55 (0.53, 0.56), and 0.66 (0.65, 0.67) and 0.67 (0.66, 0.68). In both derivation and validation samples

Trends in hospital admissions, re-admissions, and in-hospital mortality among HIV-infected patients between 1993 and 2013: Impact of hepatitis C co-infection.

PubMed

Meijide, Héctor; Mena, Álvaro; Rodríguez-Osorio, Iria; Pértega, Sonia; Castro-Iglesias, Ángeles; Rodríguez-Martínez, Guillermo; Pedreira, José; Poveda, Eva

2017-01-01

New patterns in epidemiological characteristics of people living with HIV infection (PLWH) and the introduction of Highly Active Antiretroviral Therapy (HAART) have changed the profile of hospital admissions in this population. The aim of this study was to evaluate trends in hospital admissions, re-admissions, and mortality rates in HIV patients and to analyze the role of HCV co-infection. A retrospective cohort study conducted on all hospital admissions of HIV patients between 1993 and 2013. The study time was divided in two periods (1993-2002 and 2003-2013) to be compared by conducting a comparative cross-sectional analysis. A total of 22,901 patient-years were included in the analysis, with 6917 hospital admissions, corresponding to 1937 subjects (75% male, mean age 36±11 years, 37% HIV/HCV co-infected patients). The median length of hospital stay was 8 days (5-16), and the 30-day hospital re-admission rate was 20.1%. A significant decrease in hospital admissions related with infectious and psychiatric diseases was observed in the last period (2003-2013), but there was an increase in those related with malignancies, cardiovascular, gastrointestinal, and chronic respiratory diseases. In-hospital mortality remained high (6.8% in the first period vs. 6.3% in the second one), with a progressive increase of non-AIDS-defining illness deaths (37.9% vs. 68.3%, P<.001). The admission rate significantly dropped after 1996 (4.9% yearly), but it was less pronounced in HCV co-infected patients (1.7% yearly). Hospital admissions due to infectious and psychiatric disorders have decreased, with a significant increase in non-AIDS-defining malignancies, cardiovascular, and chronic respiratory diseases. In-hospital mortality is currently still high, but mainly because of non-AIDS-defining illnesses. HCV co-infection increased the hospital stay and re-admissions during the study period. Copyright © 2016 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y

Combining training in knowledge translation with quality improvement reduced 30-day heart failure readmissions in a community hospital: a case study.

PubMed

Wyer, Peter; Stojanovic, Zorica; Shaffer, Jonathan A; Placencia, Mitzy; Klink, Kathleen; Fosina, Michael J; Lin, Susan X; Barron, Beth; Graham, Ian D

2016-04-01

Training programmes in evidence-based practice (EBP) frequently fail to translate their content into practice change and care improvement. We linked multidisciplinary training in EBP to an initiative to decrease 30-day readmissions among patients admitted to a community teaching hospital for heart failure (HF). Hospital staff reflecting all services and disciplines relevant to care of patients with HF attended a 3-day innovative capacity building conference in evidence-based health care over a 3-year period beginning in 2009. The team, facilitated by a conference faculty member, applied a knowledge-to-action model taught at the conference. We reviewed published research, profiled our population and practice experience, developed a three-phase protocol and implemented it in late 2010. We tracked readmission rates, adverse clinical outcomes and programme cost. The protocol emphasized patient education, medication reconciliation and transition to community-based care. Senior administration approved a full-time nurse HF coordinator. Thirty-day HF readmissions decreased from 23.1% to 16.4% (adjusted OR = 0.64, 95% CI = 0.42-0.97) during the year following implementation. Corresponding rates in another hospital serving the same population but not part of the programme were 22.3% and 20.2% (adjusted OR = 0.87, 95% CI = 0.71-1.08). Adherence to mandated HF quality measures improved. Following a start-up cost of $15 000 US, programme expenses balanced potential savings from decreased HF readmissions. Training of a multidisciplinary hospital team in use of a knowledge translation model, combined with ongoing facilitation, led to implementation of a budget neutral programme that decreased HF readmissions. © 2015 John Wiley & Sons, Ltd.

The effect of nurse-led education on hospitalisation, readmission, quality of life and cost in adults with heart failure. A systematic review.

PubMed

Rice, Helena; Say, Richard; Betihavas, Vasiliki

2018-03-01

The purpose of this systematic review was to highlight the effect of nurse-led 1:1 patient education sessions on Quality of Life (QoL), readmission rates and healthcare costs for adults with heart failure (HF) living independently in the community. A systematic review of randomised control trials was undertaken. Using the search terms nurse, education, heart failure, hospitalisation, readmission, rehospitalisation, economic burden, cost, expenditure and quality of life in PubMed, CINAHL and Google Scholar databases were searched. Papers pertaining to nurse-led 1:1 HF disease management of education of adults in the community with a history of HF were reviewed. The results of this review identified nurse-led education sessions for adults with HF contribute to reduction in hospital readmissions, reduction in hospitalisation and a cost benefit. Additionally, higher functioning and improved QoL were also identified. These results suggest that nurse-led patient education for adults with HF improves QoL and reduces hospital admissions and readmissions. Nurse-led education can be delivered utilising diverse methods and impact to reduce readmission as well as hospitalisation. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.

Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data.

PubMed

Horwitz, Leora I; Grady, Jacqueline N; Cohen, Dorothy B; Lin, Zhenqiu; Volpe, Mark; Ngo, Chi K; Masica, Andrew L; Long, Theodore; Wang, Jessica; Keenan, Megan; Montague, Julia; Suter, Lisa G; Ross, Joseph S; Drye, Elizabeth E; Krumholz, Harlan M; Bernheim, Susannah M

2015-10-01

It is desirable not to include planned readmissions in readmission measures because they represent deliberate, scheduled care. To develop an algorithm to identify planned readmissions, describe its performance characteristics, and identify improvements. Consensus-driven algorithm development and chart review validation study at 7 acute-care hospitals in 2 health systems. For development, all discharges qualifying for the publicly reported hospital-wide readmission measure. For validation, all qualifying same-hospital readmissions that were characterized by the algorithm as planned, and a random sampling of same-hospital readmissions that were characterized as unplanned. We calculated weighted sensitivity and specificity, and positive and negative predictive values of the algorithm (version 2.1), compared to gold standard chart review. In consultation with 27 experts, we developed an algorithm that characterizes 7.8% of readmissions as planned. For validation we reviewed 634 readmissions. The weighted sensitivity of the algorithm was 45.1% overall, 50.9% in large teaching centers and 40.2% in smaller community hospitals. The weighted specificity was 95.9%, positive predictive value was 51.6%, and negative predictive value was 94.7%. We identified 4 minor changes to improve algorithm performance. The revised algorithm had a weighted sensitivity 49.8% (57.1% at large hospitals), weighted specificity 96.5%, positive predictive value 58.7%, and negative predictive value 94.5%. Positive predictive value was poor for the 2 most common potentially planned procedures: diagnostic cardiac catheterization (25%) and procedures involving cardiac devices (33%). An administrative claims-based algorithm to identify planned readmissions is feasible and can facilitate public reporting of primarily unplanned readmissions. © 2015 Society of Hospital Medicine.

Probability of Accurate Heart Failure Diagnosis and the Implications for Hospital Readmissions.

PubMed

Carey, Sandra A; Bass, Kyle; Saracino, Giovanna; East, Cara A; Felius, Joost; Grayburn, Paul A; Vallabhan, Ravi C; Hall, Shelley A

2017-04-01

Heart failure (HF) is a complex syndrome with inherent diagnostic challenges. We studied the scope of possibly inaccurately documented HF in a large health care system among patients assigned a primary diagnosis of HF at discharge. Through a retrospective record review and a classification schema developed from published guidelines, we assessed the probability of the documented HF diagnosis being accurate and determined factors associated with HF-related and non-HF-related hospital readmissions. An arbitration committee of 3 experts reviewed a subset of records to corroborate the results. We assigned a low probability of accurate diagnosis to 133 (19%) of the 712 patients. A subset of patients were also reviewed by an expert panel, which concluded that 13% to 35% of patients probably did not have HF (inter-rater agreement, kappa = 0.35). Low-probability HF was predictive of being readmitted more frequently for non-HF causes (p = 0.018), as well as documented arrhythmias (p = 0.023), and age >60 years (p = 0.006). Documented sleep apnea (p = 0.035), percutaneous coronary intervention (p = 0.006), non-white race (p = 0.047), and B-type natriuretic peptide >400 pg/ml (p = 0.007) were determined to be predictive of HF readmissions in this cohort. In conclusion, approximately 1 in 5 patients documented to have HF were found to have a low probability of actually having it. Moreover, the determination of low-probability HF was twice as likely to result in readmission for non-HF causes and, thus, should be considered a determinant for all-cause readmissions in this population. Copyright © 2017 Elsevier Inc. All rights reserved.

Preventable readmissions within 30 days of ischemic stroke among Medicare beneficiaries.

PubMed

Lichtman, Judith H; Leifheit-Limson, Erica C; Jones, Sara B; Wang, Yun; Goldstein, Larry B

2013-12-01

The Centers for Medicare and Medicaid Services proposes to use 30-day hospital readmissions after ischemic stroke as part of the Hospital Inpatient Quality Reporting Program for payment determination beginning in 2016. The proportion of poststroke readmissions that is potentially preventable is unknown. Thirty-day readmissions for all Medicare fee-for-service beneficiaries aged≥65 years discharged alive with a primary diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification 433, 434, 436) between December 2005 and November 2006 were analyzed. Preventable readmissions were identified based on 14 Prevention Quality Indicators developed for use with administrative data by the US Agency for Healthcare Research and Quality. National, hospital-level, and regional preventable readmission rates were estimated. Random-effects logistic regression was also used to determine patient-level factors associated with preventable readmissions. Among 307 887 ischemic stroke discharges, 44 379 (14.4%) were readmitted within 30 days; 5322 (1.7% of all discharges) were the result of a preventable cause (eg, pneumonia), and 39 057 (12.7%) were for other reasons (eg, cancer). In multivariate analysis, older age and cardiovascular-related comorbid conditions were strong predictors of preventable readmissions. Preventable readmission rates were highest in the Southeast, Mid-Atlantic, and US territories and lowest in the Mountain and Pacific regions. On the basis of Agency for Healthcare Research and Quality Prevention Quality Indicators, we found that a small proportion of readmissions after ischemic stroke were classified as preventable. Although other causes of readmissions not reflected in the Agency for Healthcare Research and Quality measures could also be avoidable, hospital-level programs intended to reduce all-cause readmissions and costs should target high-risk patients.

One-year mortality outcomes and hospital readmissions of patients admitted with acute heart failure: Data from the Trivandrum Heart Failure Registry in Kerala, India.

PubMed

Harikrishnan, Sivadasanpillai; Sanjay, Ganapathi; Agarwal, Anubha; Kumar, N Pratap; Kumar, K Krishna; Bahuleyan, Charantharayil Gopalan; Vijayaraghavan, Govindan; Viswanathan, Sunitha; Sreedharan, Madhu; Biju, R; Rajalekshmi, N; Nair, Tiny; Suresh, Krishnan; Jeemon, Panniyammakal

2017-07-01

There are sparse data on outcomes of patients with heart failure (HF) from India. The objective was to evaluate hospital readmissions and 1-year mortality outcomes of patients with HF in Kerala, India. We followed 1,205 patients enrolled in the Trivandrum Heart Failure Registry for 1 year. A trained research nurse contacted each participant every 3 months using a structured questionnaire which included hospital readmission and mortality information. The mean (SD) age was 61.2 (13.7) years, and 31% were women. One out of 4 (26%) participants had HF with preserved ejection fraction. Only 25% of patients with HF with reduced ejection fraction received guideline-directed medical therapy at discharge. Cumulative all-cause mortality at 1 year was 30.8% (n = 371), but the greatest risk of mortality was in the first 3 months (18.1%). Most deaths (61%) occurred in patients younger than 70 years. One out of every 3 (30.2%) patients was readmitted at least once over 1 year. The hospital readmission rates were similar between HF with preserved ejection fraction and HF with reduced ejection fraction patients. New York Heart Association functional class IV status and lack of guideline-directed medical treatment after index hospitalization were associated with increased likelihood of readmission. Similarly, older age, lower education status, nonischemic etiology, history of stroke, higher serum creatinine, lack of adherence to guideline-directed medical therapy, and hospital readmissions were associated with increased 1-year mortality. In the Trivandrum Heart Failure Registry, 1 of 3 HF patients died within 1 year of follow-up during their productive life years. Suboptimal adherence to guideline-directed treatment is associated with increased propensity of readmission and death. Quality improvement programs aiming to improve adherence to guideline-based therapy and reducing readmission may result in significant survival benefits in the relatively younger cohort of HF patients in

Prescription for antidepressant in reducing future alcohol-related readmission in patients suffering from depression and alcohol use disorder: a retrospective medical record review.

PubMed

Chan, Patrick; Yomen, Katie; Turcios, Jennifer; Richman, Mark

2015-12-21

Patients suffering from major depressive disorder are more likely to suffer from alcohol use disorder. The data is inconclusive for the effectiveness of antidepressant treatment of patients suffering from both illnesses in regards to improving sobriety and reducing alcohol-related healthcare expenses such as hospitalizations. The objective of this study is to determine if a new prescription of an antidepressant upon inpatient discharge is associated with a reduction in the number of future acute alcohol-related hospital readmissions to the same institution in patients suffering from major depressive disorder and alcohol-use disorder. A retrospective, medical record review study was conducted at a publicly-supported hospital in Sylmar, CA. A query was performed for adult patients admitted between 1/1/2005-12/31/2013 who had ICD-9 codes for both alcohol-use disorder and depression. Index admission was the first hospitalization in which the patient was currently consuming alcohol and had depression as identified by physician documentation as a problem. Acute alcohol-related admissions were those for alcohol intoxication or withdrawal (indicating current alcohol use). Patients were excluded if they were receiving an antidepressant on index admission, <18 years old, no patient data available, or not currently consuming alcohol; 139 patients met inclusion criteria. Multivariate logistical regression analysis was performed on the primary predictive variable of discharge prescription of an antidepressant along with other independent variables for alcohol readmissions: homelessness, family history of alcohol use disorder, and smoking. Discharging patients with a prescription of an antidepressant was not associated with a reduction in acute alcohol-related readmission. There was no difference in acute alcohol-related readmissions between patients discharged with (44.6 %) versus without (47.0 %) a prescription for an antidepressant (p = 0.863). The median number of days

Clinical predictors and outcome implications of early readmission in lung transplant recipients.

PubMed

Osho, Asishana A; Castleberry, Anthony W; Yerokun, Babatunde A; Mulvihill, Michael S; Rucker, Justin; Snyder, Laurie D; Davis, Robert D; Hartwig, Matthew G

2017-05-01

The purpose of this study was to identify risk factors and outcome implications for 30-day hospital readmission in lung transplant recipients. We conducted a retrospective cohort study of lung transplant cases from a single, high-volume lung transplant program between January 2000 and March 2012. Demographic and health data were reviewed for all patients. Risk factors for 30-day readmission (defined as readmission within 30 days of discharge from index lung transplant hospitalization) were modeled using logistic regression, with selection of parameters by backward elimination. The sample comprised 795 patients after excluding scheduled readmissions and in-hospital deaths. Overall 30-day readmission rate was 45.4% (n = 361). Readmission rates were similar across different diagnosis categories and procedure types. By univariate analysis, post-operative complications that predisposed to 30-day readmission included pneumonia, any infection, and atrial fibrillation (all p < 0.05). In the final multivariate model, occurrence of any post-transplant complication was the most significant risk factor for 30-day readmission (odds ratio = 1.764; 95% confidence interval, 1.259-2.470). Even for patients with no documented perioperative complication, readmission rates were still >35%. Kaplan-Meier analysis and multi-variate regression modeling to assess readmission as a predictor of long-term outcomes showed that 30-day readmission was not a significant predictor of worse survival in lung recipients. Occurrence of at least 1 post-transplant complication increases risk for 30-day readmission in lung transplant recipients. In this patient population, 30-day readmission does not predispose to adverse long-term survival. Quality indicators other than 30-day readmission may be needed to assess hospitals that perform lung transplantation. Copyright © 2017 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Illness Representations, Treatment Beliefs, Medication Adherence, and 30-Day Hospital Readmission in Adults With Chronic Heart Failure: A Prospective Correlational Study.

PubMed

Turrise, Stephanie

2016-01-01

An estimated 5.1 million Americans have chronic heart failure, yet despite advances in its treatment, there has been no improvement in hospital readmissions among aging adult patients with chronic heart failure. The purpose of this study is to investigate the relationships among illness representations, treatment beliefs, medication adherence, and 30-day hospital readmission for heart failure exacerbation in aging adults with chronic heart failure. Using a prospective, correlational design, 96 older adults with a primary or secondary diagnosis of heart failure discharged to home from a hospital in the Southeastern United States participated in telephone surveys and follow-up telephone calls. Data analysis included correlation and logistic regression analyses. Participants were highly adherent to their medications. Individuals who did not believe their treatment was effective in controlling their HF were readmitted within 30 days of hospital discharge for HF exacerbation; that is, treatment control was inversely related to 30-day hospital readmission. In post hoc analyses, personal control was inversely related to dichotomized medication adherence and necessity-concern differential was directly related to dichotomized medication adherence. The necessity-concern differential, or the belief that medication necessity outweighed the concerns they had about their medicines, was a significant predictor of medication adherence. Nurses can use these study findings to help identify individuals who may be at risk of being nonadherent to their medications and hospital readmission. Recommendations for future research include replication with multiple sites, the addition of objective measures of medication adherence, investigation of both the cognitive and emotional pathways, and qualitative exploration of personal control in the context of medication adherence in HF.

Inpatient Palliative Care Consultation and 30-Day Readmissions in Oncology.

PubMed

DiMartino, Lisa D; Weiner, Bryan J; Hanson, Laura C; Weinberger, Morris; Birken, Sarah A; Reeder-Hayes, Katherine; Trogdon, Justin G

2018-01-01

Prior research indicates that hospice and palliative care delivered in outpatient settings are associated with reduced hospital readmissions for cancer patients. However, little is known about how inpatient palliative care affects readmissions in oncology. To examine associations among inpatient palliative care consultation, hospice use (discharge), and 30-day readmissions among patients with solid tumor cancers. We identified all live discharges from a large tertiary cancer hospital between 2010 and 2016. Palliative care consult data were abstracted from medical charts and linked to hospital encounter data. Propensity scores were used to match palliative care consult to usual care encounters. Modified Poisson regression models estimated adjusted relative risk (aRR) and 95% confidence intervals (CI) of 30-day readmissions and hospice discharge. We compared predicted probabilities of readmission for palliative care consultation with hospice discharge, without hospice discharge, and usual care. Of 8085 eligible encounters, 753 involved a palliative care consult. The likelihood of having a 30-day readmission did not differ between palliative care consult and usual care groups (p > 0.05). However, the palliative care consult group was more likely than usual care to have a hospice discharge (aRR = 4.09, 95% CI: 3.07-5.44). The predicted probability of 30-day readmission was lower when palliative care consultation was combined with hospice discharge compared to usual care or consultation with discharge to nonhospice postacute care (p < 0.001). The effect of inpatient palliative care on readmissions in oncology is largely driven by hospice enrollment. Strategies that combine palliative care consultation with hospice discharge may decrease hospital readmissions and improve cancer care quality.

Ethnic variations in unplanned readmissions and excess length of hospital stay: a nationwide record-linked cohort study

PubMed Central

van Rosse, Floor; Uiters, Ellen; Droomers, Mariël; Suurmond, Jeanine; Stronks, Karien; Essink-Bot, Marie-Louise

2013-01-01

Background: Studies in the USA have shown ethnic inequalities in quality of hospital care, but in Europe, this has never been analysed. We explored variations in indicators of quality of hospital care by ethnicity in the Netherlands. Methods: We analysed unplanned readmissions and excess length of stay (LOS) across ethnic groups in a large population of hospitalized patients over an 11-year period by linking information from the national hospital discharge register, the Dutch population register and socio-economic data. Data were analysed with stepwise logistic regression. Results: Ethnic differences were most pronounced in older patients: all non-Western ethnic groups > 45 years had an increased risk for excess LOS compared with ethnic Dutch patients, with odds ratios (ORs) (adjusted for case mix) varying from 1.05 [95% confidence intervals (95% CI) 1.02–1.08] for other non-Western patients to 1.14 (95% CI 1.07–1.22) for Moroccan patients. The risk for unplanned readmission in patients >45 years was increased for Turkish (OR 1.24, 95% CI 1.18–1.30) and Surinamese patients (OR 1.11, 95% CI 1.07–1.16). These differences were explained partially, although not substantially, by differences in socio-economic status. Conclusion: We found significant ethnic variations in unplanned readmissions and excess LOS. These differences may be interpretable as shortcomings in the quality of hospital care delivered to ethnic minority patients, but exclusion of alternative explanations (such as differences in patient- and community-level factors, which are outside hospitals’ control) requires further research. To quantify potential ethnic inequities in hospital care in Europe, we need empirical prospective cohort studies with solid quality outcomes such as adverse event rates. PMID:23388242

Impact of Frontloading of Skilled Nursing Visits on the Incidence of 30-day Hospital Readmission

PubMed Central

O'Connor, Melissa; Hanlon, Alexandra; Bowles, Kathryn H.

2014-01-01

Hospitalization among older adults receiving skilled home health services continues to be prevalent. Frontloading of skilled nursing visits, defined as providing 60% of the planned skilled nursing visits within the first two weeks of home health episode, is one way home health agencies have attempted to reduce the need for readmission among this chronically ill population. This was a retrospective observational study using data from five Medicare-owned, national assessment and claim databases from 2009. An independent randomized sample of 4,500 Medicare-reimbursed home health beneficiaries was included in the analyses. Propensity score analysis was used to reduce known confounding among covariates prior to the application of logistic analysis. Although whether skilled nursing visits were frontloaded or not was not a significant predictor of 30-day hospital readmission (p=0.977), additional research is needed to refine frontloading and determine the type of patients who are most likely to benefit from it. PMID:24702719

Design and Rationale for a Randomized Controlled Trial to Reduce Readmissions among Patients with Depressive Symptoms

PubMed Central

Mitchell, Suzanne E.; Martin, Jessica M.; Krizman, Katherine; Sadikova, Ekaterina; Culpepper, Larry; Stewart, Sabrina K.; Brown, Jennifer Rose; Jack, Brian W.

2016-01-01

Background The Re-Engineered Discharge (Project RED) reduces 30-day readmission rates by 30 percent. However, our data indicates that for patients displaying depressive symptoms during hospitalization, Project RED is less effective in preventing unplanned readmission. We aim to examine the effectiveness of RED-D, a modified brief Cognitive behavioral therapy (CBT) protocol delivered as a post-discharge extension of the Re-Engineered Discharge, in reducing 30-day readmissions rates and emergency department (ED) use as well as depressive symptoms for medical patients with comorbid depressive symptoms. Methods This paper details the study design and implementation of an ongoing, federally funded randomized controlled trial of our post-discharge mental health intervention, RED-D, compared to the RED plus usual care. This research has two primary objectives: (1) to determine whether RED-D delivered telephonically by a mental health professional immediately following discharge is effective in reducing hospital readmission and emergency department use for patients displaying depressive symptoms during their inpatient stay, and (2) to examine whether this approach yields a clinically significant reduction in depressive symptoms. We intend to recruit 1200 participants randomized to our intervention, RED-D (n=600), and to RED plus usual care (n=600). Conclusions Hospitalized patients with depressive symptoms are at increased risk for 30-day readmission. We aim to conduct a randomized clinical trial to evaluate the comparative effectiveness of RED-D, our post-discharge modified brief CBT intervention compared to RED alone in reducing readmissions and depressive symptoms for this at-risk population. PMID:26343332

Design and rationale for a randomized controlled trial to reduce readmissions among patients with depressive symptoms.

PubMed

Mitchell, Suzanne E; Martin, Jessica M; Krizman, Katherine; Sadikova, Ekaterina; Culpepper, Larry; Stewart, Sabrina K; Brown, Jennifer Rose; Jack, Brian W

2015-11-01

The Re-Engineered Discharge (Project RED) reduces 30-day readmission rates by 30%. However, our data indicates that for patients displaying depressive symptoms during hospitalization, Project RED is less effective in preventing unplanned readmission. We aim to examine the effectiveness of RED-D, a modified brief Cognitive behavioral therapy (CBT) protocol delivered as a post-discharge extension of the Re-Engineered Discharge, in reducing 30-day readmissions rates and emergency department (ED) use as well as depressive symptoms for medical patients with comorbid depressive symptoms. This paper details the study design and implementation of an ongoing, federally funded randomized controlled trial of our post-discharge mental health intervention, RED-D, compared to the RED plus usual care. This research has two primary objectives: (1) to determine whether RED-D delivered telephonically by a mental health professional immediately following discharge is effective in reducing hospital readmission and emergency department use for patients displaying depressive symptoms during their inpatient stay, and (2) to examine whether this approach yields a clinically significant reduction in depressive symptoms. We intend to recruit 1200 participants randomized to our intervention, RED-D (n=600), and to RED plus usual care (n=600). Hospitalized patients with depressive symptoms are at increased risk for 30-day readmission. We aim to conduct a randomized clinical trial to evaluate the comparative effectiveness of RED-D, our post-discharge modified brief CBT intervention compared to RED alone in reducing readmissions and depressive symptoms for this at-risk population. Copyright © 2015 Elsevier Inc. All rights reserved.

Medicare Readmissions Policies and Racial and Ethnic Health Disparities: A Cautionary Tale

PubMed Central

McHugh, Matthew D.; Carthon, J. Margo Brooks; Kang, Xiao L.

2011-01-01

Beginning in 2009, the Centers for Medicare & Medicaid Services started publicly reporting hospital readmission rates as part of the Hospital Compare website. Hospitals will begin having payments reduced if their readmission rates are higher than expected starting in fiscal year 2013. Value-based purchasing initiatives including public reporting and pay-for-performance incentives have the potential to increase quality of care. There is concern, however, that hospitals providing service to minority communities may be disproportionately penalized as a result of these policies due to higher rates of readmissions among racial and ethnic minority groups. Using 2008 Medicare data, we assess the risk for readmission for minorities and discuss implications for minority-serving institutions. PMID:21531966

Early Infectious Diseases Specialty Intervention Is Associated with Shorter Hospital Stays and Lower Readmission Rates: A Retrospective Cohort Study.

PubMed

Schmitt, Steven; MacIntyre, Ann T; Bleasdale, Susan C; Ritter, J Trees; Nelson, Sandra B; Berbari, Elie F; Burdette, Steven D; Hewlett, Angela; Miles, Matthew; Robinson, Philip A; Siddiqui, Javeed; Trotman, Robin; Martinelli, Lawrence; Zeitlin, Gary; Rodriguez, Andrés; Smith, Mark W; McQuillen, Daniel P

2018-06-13

Intervention by infectious diseases (ID) physicians improves outcomes for inpatients in Medicare, but patients with other insurance types could fare differently. We assessed whether ID involvement leads to better outcomes among privately insured patients under age 65 hospitalized with common infections. We performed a retrospective analysis of administrative claims data from community hospital and post-discharge ambulatory care. Patients were privately insured individuals under 65 years old with an acute-care stay in 2014 for selected infections, classed as having early (by day 3) or late (after day 3) ID intervention, or none. Key outcomes were mortality, cost, length of the index stay; readmission rate, mortality and total cost of care over the first 30 days after discharge. Patients managed with early ID involvement had shorter length of stay, lower spending, and lower mortality in the index stay than those patients managed without ID involvement. Relative to late, early ID involvement was associated with shorter length of stay and lower cost. Individuals with early ID intervention during hospitalization had fewer readmissions and lower healthcare payments after discharge. Relative to late, those with early ID intervention experienced lower readmission, lower spending, and lower mortality. Among privately insured patients under 65 years old, treated in a hospital, early intervention with an ID physician was associated with lower mortality rate and shorter length of stay. Patients who received early ID intervention during their hospital stay were less likely to be readmitted after discharge and had lower total healthcare spending.

Postoperative Care Fragmentation and 30-Day Unplanned Readmissions After Head and Neck Cancer Surgery

PubMed Central

Graboyes, Evan M.; Kallogjeri, Dorina; Saeed, Mohammed J.; Olsen, Margaret A.; Nussenbaum, Brian

2017-01-01

Objectives Post-discharge care fragmentation, readmission to a hospital other than the one performing the surgery, hasn’t been described in head and neck cancer patients. We sought to determine the frequency, risk factors, and outcomes for head and neck cancer patients experiencing post-discharge care fragmentation. Design Retrospective cohort study Methods We analyzed patients in the 2008–2010 California State Inpatient Database with a 30-day unplanned readmission following head and neck cancer surgery. The frequency of post-discharge care fragmentation, patient- and hospital-level risk factors for care fragmentation, readmission diagnosis, and readmission outcomes were determined. Results Of 561 patients with a 30-day unplanned readmission, 210 (37.4%) were readmitted to a hospital other than the one performing the surgery. Surgical hospitalization length of stay ≥ 15 days (OR 1.87; 95% CI 1.13–3.10) and discharge to a care facility (OR 2.85; 95% CI 1.77–4.58) were associated with care fragmentation. Overall, 39.8% of unplanned 30-day readmissions (223/561) were treatment complications and 30.9% of treatment complication readmissions (69/223) occurred at a non-index hospital. Patients with post-discharge care fragmentation had a 2.1-fold increased risk of in-hospital mortality within 30 days of readmission compared to patients readmitted to the index hospital (95% CI 1.04–4.26). Conclusions Post-discharge care fragmentation following head and neck cancer surgery is common, as 37% of readmitted patients, and 31% of patients readmitted with a treatment complication, are readmitted to a hospital other than the surgical hospital. Head and neck cancer patients experiencing care fragmentation are at increased risk of in-hospital mortality within 30 days of readmission. PMID:27740687

Postoperative care fragmentation and thirty-day unplanned readmissions after head and neck cancer surgery.

PubMed

Graboyes, Evan M; Kallogjeri, Dorina; Saeed, Mohammed J; Olsen, Margaret A; Nussenbaum, Brian

2017-04-01

Postdischarge care fragmentation, readmission to a hospital other than the one performing the surgery, has not been described in head and neck cancer patients. We sought to determine the frequency, risk factors, and outcomes for head and neck cancer patients experiencing postdischarge care fragmentation. Retrospective cohort study. We analyzed patients in the 2008 to 2010 California State Inpatient Database with a 30-day unplanned readmission following head and neck cancer surgery. The frequency of postdischarge care fragmentation, patient- and hospital-level risk factors for care fragmentation, readmission diagnosis, and readmission outcomes were determined. Of 561 patients with a 30-day unplanned readmission, 210 (37.4%) were readmitted to a hospital other than the one performing the surgery. Surgical hospitalization length of stay ≥15 days (odds ratio [OR]: 1.87, 95% confidence interval [CI]: 1.13-3.10) and discharge to a care facility (OR: 2.85, 95% CI: 1.77-4.58) were associated with care fragmentation. Overall, 39.8% of unplanned 30-day readmissions (223/561) were treatment complications, and 30.9% of treatment complication readmissions (69/223) occurred at a nonindex hospital. Patients with postdischarge care fragmentation had a 2.1-fold increased risk of in-hospital mortality within 30 days of readmission compared to patients readmitted to the index hospital (95% CI: 1.04-4.26). Postdischarge care fragmentation following head an neck cancer surgery is common, as 37% of readmitted patients and 31% of patients readmitted with a treatment complication are readmitted to a hospital other than the surgical hospital. Head and neck cancer patients experiencing care fragmentation are at increased risk of in-hospital mortality within 30 days of readmission. 4. Laryngoscope, 127:868-874, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

The effectiveness of disease management programmes in reducing hospital re-admission in older patients with heart failure: a systematic review and meta-analysis of published reports.

PubMed

Gonseth, Jonás; Guallar-Castillón, Pilar; Banegas, José R; Rodríguez-Artalejo, Fernando

2004-09-01

To systematically evaluate the published evidence regarding the effectiveness of disease management programmes (DMPs) reducing hospital re-admissions among elderly patients with heart failure (HF). Computerised search of MEDLINE (1966 to 31 August 2003) and EMBASE (1966 to 31 August 2003). The Cochrane Library was also searched, and reference lists of review articles on the topic, and of all relevant studies identified, were scanned. Search and selection of studies, data-extraction using standardised forms, and assessment of study quality was performed by two reviewers. The end-point was the proportion of persons who underwent hospital re-admission, and pooled relative risks (RR) were used to summarise the effectiveness of DMPs. The meta-analysis included 54 articles, comprising 27 randomised and 27 non-randomised controlled studies. Randomised studies consistently suggested that, in comparison with usual care, DMP reduced the frequency of re-admission for HF or cardiovascular disease by 30% (pooled RR 0.70; confidence interval (CI) 95% 0.62-0.79), all-cause re-admission by 12% (pooled RR 0.88, 95% CI: 0.79-0.97), and the combined event of re-admission or death by 18% (pooled RR 0.82, 95% CI: 0.72-0.94). The results displayed no substantial variation when only DMPs with home visits, out-patient visits to a clinic, or patient follow-up longer than 6 months were included. For DMPs with out-patient clinical visits, however, the reduction in re-admission for HF or cardiovascular disease, and for all causes, did not attain statistical significance. The magnitude of DMP benefits reported by non-randomised studies was more than double that reported by randomised studies. Practically all the non-randomised studies failed to control for confounding factors, such as severity, co-morbidity and drug therapy. DMPs are effective at reducing re-admissions among elderly patients with HF. Their effectiveness is close to that observed in clinical trials evaluating drugs for HF, such

Readmission after treatment of Grade 3 and 4 renal injuries at a Level I trauma center: Statewide assessment using the Comprehensive Hospital Abstract Reporting System.

PubMed

Winters, Brian; Wessells, Hunter; Voelzke, Bryan B

2016-03-01

One criticism of the existing renal trauma research is the limited outpatient follow-up after index hospitalization. We assessed readmission rates following treatment for American Association for the Surgery of Trauma (AAST) Grade 3 and 4 renal injury using the Comprehensive Hospital Abstract Reporting System (CHARS). We evaluated all patients with AAST Grade 3 and 4 renal injuries admitted to Harborview Medical Center (HMC) between 1998 and 2010, the only Level 1 trauma center in Washington state. Grade 4 renal injuries were stratified by collecting system laceration (CSL) or segmental vascular injury. Data were abstracted from the CHARS database for readmissions to any Washington state hospital within 6 months of renal injury. Clinical variables, diagnoses, and procedures were queried based on DRG International Classification of Diseases-9th Rev. codes. A total of 477 Grade 3 and 159 Grade 4 renal injuries were initially treated at HMC. On admission, 111 patients required intervention: 75 (16%) of 477 Grade 3 and 36 (23%) of 159 Grade 4 injuries. Within 6 months of index hospitalization, 86 (18%) of 477 Grade 3 and 38 (24%) of 159 Grade 4 patients were readmitted to any Washington state hospital. Eighty percent of Grade 3 injuries and 66% of Grade 4 injuries returned to HMC compared with secondary hospitals (p = 0.08). At readmission, 19 (22%) of 86 Grade 3 and 16 (42%) of 38 Grade 4 injuries had a urologic diagnosis. Subsequent procedural intervention was required on readmission in 6 (7%) of 86 Grade 3 and 5 (13%) of 38 Grade 4 renal injuries (all CSL injuries). A subset of patients treated for Grade 3 and 4 renal trauma will be readmitted for further management. While urologic diagnoses and additional procedures may be low overall, readmission to outside hospitals may preclude accurate determination of renal trauma outcomes. Based on these data, patients with Grade 4 CSL injuries seem to be at the highest risk for readmission and to require a subsequent

Investigating the widely held belief that men and women with learning disabilities receive poor quality healthcare when admitted to hospital: a single-site study of 30-day readmission rates.

PubMed

Kelly, C L; Thomson, K; Wagner, A P; Waters, J P; Thompson, A; Jones, S; Holland, A J; Redley, M

2015-09-01

This study aims to use 30-day readmission rates to investigate the presumption that men and women with learning disabilities (LDs, known internationally as intellectual disabilities) receive poorer quality hospital care than their non-disabled peers. A 12-month retrospective audit was conducted using Hospital Episode Statistics (HES) at a single acute hospital in the East of England. This identified all in-patient admissions; admissions where the person concerned was recognised as having a LD; and all emergency readmissions within 30 days of discharge. Additionally, the healthcare records of all patients identified as having a LD and readmitted within 30 days as a medical emergency were examined in order to determine whether or not these readmissions were potentially preventable. Over the study period, a total of 66 870 adults were admitted as in-patients, among whom 7408 were readmitted as medical emergencies within 30 days of discharge: a readmission rate of 11%. Of these 66 870 patients, 256 were identified as having a LD, with 32 of them experiencing at least one emergency readmission within 30 days: a readmission rate of 13%. When examined, the healthcare records pertaining to these 32 patients who had a total of 39 unique 30-day readmissions revealed that 69% (n = 26) of these readmissions were potentially preventable. Although overall readmission rates were similar for patients with LDs and those from the general population, patients with LDs had a much higher rate of potentially preventable readmissions when compared to a general population estimate from van Walraven et al. This suggests that there is still work to be done to ensure that this patient population receives hospital care that is both safe and of high quality. © 2015 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

Future of the PCI Readmission Metric.

PubMed

Wasfy, Jason H; Yeh, Robert W

2016-03-01

Between 2013 and 2014, the Centers for Medicare and Medicaid Services and the National Cardiovascular Data Registry publically reported risk-adjusted 30-day readmission rates after percutaneous coronary intervention (PCI) as a pilot project. A key strength of this public reporting effort included risk adjustment with clinical rather than administrative data. Furthermore, because readmission after PCI is common, expensive, and preventable, this metric has substantial potential to improve quality and value in American cardiology care. Despite this, concerns about the metric exist. For example, few PCI readmissions are caused by procedural complications, limiting the extent to which improved procedural technique can reduce readmissions. Also, similar to other readmission measures, PCI readmission is associated with socioeconomic status and race. Accordingly, the metric may unfairly penalize hospitals that care for underserved patients. Perhaps in the context of these limitations, Centers for Medicare and Medicaid Services has not yet included PCI readmission among metrics that determine Medicare financial penalties. Nevertheless, provider organizations may still wish to focus on this metric to improve value for cardiology patients. PCI readmission is associated with low-risk chest discomfort and patient anxiety. Therefore, patient education, improved triage mechanisms, and improved care coordination offer opportunities to minimize PCI readmissions. Because PCI readmission is common and costly, reducing PCI readmission offers provider organizations a compelling target to improve the quality of care, and also performance in contracts involve shared financial risk. © 2016 American Heart Association, Inc.

Treating Dehydration at Home Avoids Healthcare Costs Associated With Emergency Department Visits and Hospital Readmissions for Adult Patients Receiving Home Parenteral Support.

PubMed

Konrad, Denise; Roberts, Scott; Corrigan, Mandy L; Hamilton, Cindy; Steiger, Ezra; Kirby, Donald F

2017-06-01

Administration of home parenteral support (HPS) has proven to be cost-effective over hospital care. Avoiding hospital readmissions became more of a focus for healthcare institutions in 2012 with the implementation of the Affordable Care Act. In 2010, our service developed a protocol to treat dehydration at home for HPS patients by ordering additional intravenous fluids to be kept on hand and to focus patient education on the symptoms of dehydration. A retrospective analysis was completed through a clinical management database to identify HPS patients with dehydration. The hospital finance department and homecare pharmacy were utilized to determine potential cost avoidance. In 2009, 64 episodes (77%) of dehydration were successfully treated at home versus 6 emergency department (ED) visits (7.5%) and 13 readmissions (15.5%). In 2010, we successfully treated 170 episodes (84.5%) at home, with 9 episodes (4.5%) requiring ED visits and 22 hospital readmissions (11%). The number of dehydration episodes per patient was significantly higher in 2010 ( P < .001) and may be attributed to a shift in the patient population, with more patients having malabsorption as the indication for therapy in 2010 ( P = .003). There were more than twice as many episodes of dehydration identified and treated at home in 2010 versus 2009. Our protocol helped educate and provide the resources required to resolve dehydration at home when early signs were recognized. By reducing ED visits and hospital readmissions, healthcare costs were avoided by a factor of 29 when home treatment was successful.

All-Cause, 30-Day Readmissions Among Persons With Intellectual and Developmental Disabilities and Mental Illness.

PubMed

Balogh, Robert; Lin, Elizabeth; Dobranowski, Kristin; Selick, Avra; Wilton, Andrew S; Lunsky, Yona

2018-03-01

Early hospital readmissions within 30 days of discharge are common and costly. This research describes predictors of all-cause, 30-day hospital readmissions among persons with intellectual and developmental disabilities (IDD), a group known to experience high rates of hospitalization. A cohort of 66,484 adults with IDD from Ontario, Canada, was used to create two subgroups: individuals with IDD only and those with IDD and mental illness. The rates of hospital readmission were determined and contrasted with a comparison subgroup of people without IDD who have mental illness. Compared with those with mental illness only, individuals with IDD and mental illness were 1.7 times more likely to experience a hospital readmission within 30 days. Predictors of their readmission rates included being a young adult and having high morbidity levels. The high rate of hospital readmission suggests that individuals with IDD and mental illness need attention regarding discharge planning and outpatient follow-up.

Nationwide Estimates of 30-Day Readmission in Patients With Ischemic Stroke.

PubMed

Vahidy, Farhaan S; Donnelly, John P; McCullough, Louise D; Tyson, Jon E; Miller, Charles C; Boehme, Amelia K; Savitz, Sean I; Albright, Karen C

2017-05-01

Readmission within 30 days of hospital discharge for ischemic stroke is an important quality of care metric. We aimed to provide nationwide estimates of 30-day readmission in the United States, describe important reasons for readmission, and sought to explore factors associated with 30-day readmission, particularly the association with recanalization therapy. We conducted a weighted analysis of the 2013 Nationwide Readmission Database to represent all US hospitalizations. Adult patients with acute ischemic stroke including those who received intravenous tissue-type plasminogen activator and intra-arterial therapy were identified using International Classification of Diseases -Ninth Revision codes. Readmissions were defined as any readmission during the 30-day post-index hospitalization discharge period for the eligible patient population. Proportions and 95% confidence intervals for overall 30-day readmissions and for unplanned and potentially preventable readmissions are reported. Survey design logistic regression models were fit for determining crude and adjusted odds ratios and 95% confidence interval for association between recanalization therapy and 30-day readmission. Of the 319 317 patients with acute ischemic stroke, 12.1% (95% confidence interval, 11.9-12.3) were readmitted. Of these, 89.6% were unplanned and 12.9% were potentially preventable. More than 20% of all readmissions were attributable to acute cerebrovascular disease. Readmitted patients were older and had a higher comorbidity burden. After controlling for age, sex, insurance status, and comorbidities, patients who underwent recanalization therapy had significantly lower odds of 30-day readmission (odds ratio, 0.82; 95% confidence interval, 0.77-0.89). Up to 12% of patients with ischemic stroke get readmitted within 30 days post-discharge period, and recanalization therapy is associated with 11% to 23% lower odds of 30-day readmission. © 2017 American Heart Association, Inc.

Definition of Readmission in 3,041 Patients Undergoing Hepatectomy

PubMed Central

Brudvik, Kristoffer W; Mise, Yoshihiro; Conrad, Claudius; Zimmitti, Giuseppe; Aloia, Thomas A; Vauthey, Jean-Nicolas

2015-01-01

Background Readmission rates of 9.7%–15.5% after hepatectomy have been reported. These rates are difficult to interpret due to variability in the time interval used to monitor readmission. The aim of this study was to refine the definition of readmission after hepatectomy. Study Design A prospectively maintained database of 3041 patients who underwent hepatectomy from 1998 through 2013 was merged with the hospital registry to identify readmissions. Area under the curve (AUC) analysis was used to determine the time interval that best captured unplanned readmission. Results Readmission rates at 30 days, 90 days, and 1 year after discharge were 10.7% (n = 326), 17.3% (n = 526), and 31.9% (n = 971) respectively. The time interval that best accounted for unplanned readmissions was 45 days after discharge (AUC, 0.956; p < 0.001), during which 389 patients (12.8%) were readmitted (unplanned: n = 312 [10.3%]; planned: n = 77 [2.5%]). In comparison, the 30 days after surgery interval (used in the ACS-NSQIP database) omitted 65 (26.3%) unplanned readmissions. Multivariate analysis revealed the following risk factors for unplanned readmission: diabetes (odds ratio [OR], 1.6; p = 0.024), right hepatectomy (OR, 2.1; p = 0.034), bile duct resection (OR, 1.9; p = 0.034), abdominal complication (OR, 1.8; p = 0.010), and a major postoperative complication (OR, 2.4; p < 0.001). Neither index hospitalization > 7 days nor postoperative hepatobiliary complications were independently associated with readmission. Conclusions To accurately assess readmission after hepatectomy, patients should be monitored 45 days after discharge. PMID:26047760

The readmission risk flag: using the electronic health record to automatically identify patients at risk for 30-day readmission.

PubMed

Baillie, Charles A; VanZandbergen, Christine; Tait, Gordon; Hanish, Asaf; Leas, Brian; French, Benjamin; Hanson, C William; Behta, Maryam; Umscheid, Craig A

2013-12-01

Identification of patients at high risk for readmission is a crucial step toward improving care and reducing readmissions. The adoption of electronic health records (EHR) may prove important to strategies designed to risk stratify patients and introduce targeted interventions. To develop and implement an automated prediction model integrated into our health system's EHR that identifies on admission patients at high risk for readmission within 30 days of discharge. Retrospective and prospective cohort. Healthcare system consisting of 3 hospitals. All adult patients admitted from August 2009 to September 2012. An automated readmission risk flag integrated into the EHR. Thirty-day all-cause and 7-day unplanned healthcare system readmissions. Using retrospective data, a single risk factor, ≥ 2 inpatient admissions in the past 12 months, was found to have the best balance of sensitivity (40%), positive predictive value (31%), and proportion of patients flagged (18%), with a C statistic of 0.62. Sensitivity (39%), positive predictive value (30%), proportion of patients flagged (18%), and C statistic (0.61) during the 12-month period after implementation of the risk flag were similar. There was no evidence for an effect of the intervention on 30-day all-cause and 7-day unplanned readmission rates in the 12-month period after implementation. An automated prediction model was effectively integrated into an existing EHR and identified patients on admission who were at risk for readmission within 30 days of discharge. © 2013 Society of Hospital Medicine.

Economic Evaluation of Quality Improvement Interventions Designed to Prevent Hospital Readmission: A Systematic Review and Meta-analysis.

PubMed

Nuckols, Teryl K; Keeler, Emmett; Morton, Sally; Anderson, Laura; Doyle, Brian J; Pevnick, Joshua; Booth, Marika; Shanman, Roberta; Arifkhanova, Aziza; Shekelle, Paul

2017-07-01

Quality improvement (QI) interventions can reduce hospital readmission, but little is known about their economic value. To systematically review economic evaluations of QI interventions designed to reduce readmissions. Databases searched included PubMed, Econlit, the Centre for Reviews & Dissemination Economic Evaluations, New York Academy of Medicine's Grey Literature Report, and Worldcat (January 2004 to July 2016). Dual reviewers selected English-language studies from high-income countries that evaluated organizational or structural changes to reduce hospital readmission, and that reported program and readmission-related costs. Dual reviewers extracted intervention characteristics, study design, clinical effectiveness, study quality, economic perspective, and costs. We calculated the risk difference and net costs to the health system in 2015 US dollars. Weighted least-squares regression analyses tested predictors of the risk difference and net costs. Main outcomes measures included the risk difference in readmission rates and incremental net cost. This systematic review and data analysis is reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Of 5205 articles, 50 unique studies were eligible, including 25 studies in populations limited to heart failure (HF) that included 5768 patients, 21 in general populations that included 10 445 patients, and 4 in unique populations. Fifteen studies lasted up to 30 days while most others lasted 6 to 24 months. Based on regression analyses, readmissions declined by an average of 12.1% among patients with HF (95% CI, 8.3%-15.9%; P < .001; based on 22 studies with complete data) and by 6.3% among general populations (95% CI, 4.0%-8.7%; P < .001; 18 studies). The mean net savings to the health system per patient was $972 among patients with HF (95% CI, -$642 to $2586; P = .23; 24 studies), and the mean net loss was $169 among general populations (95% CI

An Insurer's Care Transition Program Emphasizes Medication Reconciliation, Reduces Readmissions And Costs.

PubMed

Polinski, Jennifer M; Moore, Janice M; Kyrychenko, Pavlo; Gagnon, Michael; Matlin, Olga S; Fredell, Joshua W; Brennan, Troyen A; Shrank, William H

2016-07-01

Adverse drug events and the challenges of clarifying and adhering to complex medication regimens are central drivers of hospital readmissions. Medication reconciliation programs can reduce the incidence of adverse drug events after discharge, but evidence regarding the impact of medication reconciliation on readmission rates and health care costs is less clear. We studied an insurer-initiated care transition program based on medication reconciliation delivered by pharmacists via home visits and telephone and explored its effects on high-risk patients. We examined whether voluntary program participation was associated with improved medication use, reduced readmissions, and savings net of program costs. Program participants had a 50 percent reduced relative risk of readmission within thirty days of discharge and an absolute risk reduction of 11.1 percent. The program saved $2 for every $1 spent. These results represent real-world evidence that insurer-initiated, pharmacist-led care transition programs, focused on but not limited to medication reconciliation, have the potential to both improve clinical outcomes and reduce total costs of care. Project HOPE—The People-to-People Health Foundation, Inc.

Impact Of Care Coaching On Hospital Length Of Stay, Readmission Rates, Post-Discharge Phone Calls, and Patient Satisfaction Post-Bariatric Surgery

PubMed Central

Jalilvand, Anahita; Suzo, Andrew; Hornor, Melissa; Layton, Kristina; Abdel-Rasoul, Mahmoud; Macadam, Luke; Mikami, Dean; Needleman, Bradley; Noria, Sabrena

2016-01-01

BACKGROUND Bariatric surgery is well established as an effective means of treating obesity; however 30-day readmission rates remain high. The Bariatric Care Coaching Program was developed in response to a perceived need for better communication with patients upon discharge from hospital, and prior to being seen at their first post-op visit. The lack of communication was apparent from the number of patient phone calls to clinic and readmissions to hospital. OBJECTIVES The aim of this study was to evaluate the impact of the Care Coach Program on hospital length of stay (LOS), readmission rates, patient phone calls, and patient satisfaction. SETTING The study was conducted at The Ohio State University, Wexner Medical Center. METHODS A retrospective review was conducted on patients who had primary bariatric surgery from July 1, 2013 to June 30, 2015. The control group included patients who underwent surgery from July 1, 2013 – June 30, 2014, before development of the program, and the experimental group was comprised of patients who received care coaching from July 1, 2014 – June 30, 2015. Demographics, post-operative complications, LOS, clinic phone calls and hospital readmissions prior to the first post-operative visit were collected from medical records. Patient satisfaction scores were collected from the Hospital Consumer Assessment of Healthcare Providers and Systems Survey [HCAHPS]. Univariate, bivariate co-efficient analysis, and a conditional logistic regression model were performed utilizing SAS software. RESULTS There were 261 and 264 patients in the care-coach and control groups, respectively. The care-coached group had fewer patients with intractable nausea/vomiting (11.11%; [p=0.0164]), and more patients with a shorter LOS (2.3 + 1.1 days; [p=0.032]), related to laparoscopic sleeve gastrectomy (2 + 0.9 days vs. 2.3 + 0.8 days; [p=0.002]). There was no difference in readmission rates [p=0.841] or phone calls to clinic [p=0.407]. HCAHPS scores

Early inpatient calculation of laboratory-based 30-day readmission risk scores empowers clinical risk modification during index hospitalization.

PubMed

Horne, Benjamin D; Budge, Deborah; Masica, Andrew L; Savitz, Lucy A; Benuzillo, José; Cantu, Gabriela; Bradshaw, Alejandra; McCubrey, Raymond O; Bair, Tami L; Roberts, Colleen A; Rasmusson, Kismet D; Alharethi, Rami; Kfoury, Abdallah G; James, Brent C; Lappé, Donald L

2017-03-01

Improving 30-day readmission continues to be problematic for most hospitals. This study reports the creation and validation of sex-specific inpatient (i) heart failure (HF) risk scores using electronic data from the beginning of inpatient care for effective and efficient prediction of 30-day readmission risk. HF patients hospitalized at Intermountain Healthcare from 2005 to 2012 (derivation: n=6079; validation: n=2663) and Baylor Scott & White Health (North Region) from 2005 to 2013 (validation: n=5162) were studied. Sex-specific iHF scores were derived to predict post-hospitalization 30-day readmission using common HF laboratory measures and age. Risk scores adding social, morbidity, and treatment factors were also evaluated. The iHF model for females utilized potassium, bicarbonate, blood urea nitrogen, red blood cell count, white blood cell count, and mean corpuscular hemoglobin concentration; for males, components were B-type natriuretic peptide, sodium, creatinine, hematocrit, red cell distribution width, and mean platelet volume. Among females, odds ratios (OR) were OR=1.99 for iHF tertile 3 vs. 1 (95% confidence interval [CI]=1.28, 3.08) for Intermountain validation (P-trend across tertiles=0.002) and OR=1.29 (CI=1.01, 1.66) for Baylor patients (P-trend=0.049). Among males, iHF had OR=1.95 (CI=1.33, 2.85) for tertile 3 vs. 1 in Intermountain (P-trend <0.001) and OR=2.03 (CI=1.52, 2.71) in Baylor (P-trend < 0.001). Expanded models using 182-183 variables had predictive abilities similar to iHF. Sex-specific laboratory-based electronic health record-delivered iHF risk scores effectively predicted 30-day readmission among HF patients. Efficient to calculate and deliver to clinicians, recent clinical implementation of iHF scores suggest they are useful and useable for more precise clinical HF treatment. Copyright © 2016 Elsevier Inc. All rights reserved.

Effect of Ambulatory Transitional Care Management on 30-Day Readmission Rates.

PubMed

Ballard, Jonathan; Rankin, Wade; Roper, Karen L; Weatherford, Sarah; Cardarelli, Roberto

2018-05-01

A process improvement initiative for transitional care management (TCM) was evaluated for effectiveness in reducing 30-day readmission rates in a retrospective cohort study. Regression models analyzed the association between level of TCM component implementation and readmission rates among patients discharged from a university medical center hospital. Of the 1884 patients meeting inclusion criteria, only 3.7% (70) experienced a 30-day readmission. Patients receiving the full complement of TCM had 86.6% decreased odds of readmission compared with patients who did not receive TCM ( P < .001). However, the complete package of TCM services under Medicare guidelines may not be essential. A postdischarge telephone call did not reduce readmission odds, provided a TCM office visit occurred. Important for risk assessment models targeting patients for TCM, the number of previous hospital admissions, not age, predicted 30-day readmission risk. This study provides evidence that primary care-based TCM can reduce 30-day readmissions even when overall rates are low.

Development and validation of a predictive model for 90-day readmission following elective spine surgery.

PubMed

Parker, Scott L; Sivaganesan, Ahilan; Chotai, Silky; McGirt, Matthew J; Asher, Anthony L; Devin, Clinton J

2018-06-15

OBJECTIVE Hospital readmissions lead to a significant increase in the total cost of care in patients undergoing elective spine surgery. Understanding factors associated with an increased risk of postoperative readmission could facilitate a reduction in such occurrences. The aims of this study were to develop and validate a predictive model for 90-day hospital readmission following elective spine surgery. METHODS All patients undergoing elective spine surgery for degenerative disease were enrolled in a prospective longitudinal registry. All 90-day readmissions were prospectively recorded. For predictive modeling, all covariates were selected by choosing those variables that were significantly associated with readmission and by incorporating other relevant variables based on clinical intuition and the Akaike information criterion. Eighty percent of the sample was randomly selected for model development and 20% for model validation. Multiple logistic regression analysis was performed with Bayesian model averaging (BMA) to model the odds of 90-day readmission. Goodness of fit was assessed via the C-statistic, that is, the area under the receiver operating characteristic curve (AUC), using the training data set. Discrimination (predictive performance) was assessed using the C-statistic, as applied to the 20% validation data set. RESULTS A total of 2803 consecutive patients were enrolled in the registry, and their data were analyzed for this study. Of this cohort, 227 (8.1%) patients were readmitted to the hospital (for any cause) within 90 days postoperatively. Variables significantly associated with an increased risk of readmission were as follows (OR [95% CI]): lumbar surgery 1.8 [1.1-2.8], government-issued insurance 2.0 [1.4-3.0], hypertension 2.1 [1.4-3.3], prior myocardial infarction 2.2 [1.2-3.8], diabetes 2.5 [1.7-3.7], and coagulation disorder 3.1 [1.6-5.8]. These variables, in addition to others determined a priori to be clinically relevant, comprised 32

Definition of Readmission in 3,041 Patients Undergoing Hepatectomy.

PubMed

Brudvik, Kristoffer W; Mise, Yoshihiro; Conrad, Claudius; Zimmitti, Giuseppe; Aloia, Thomas A; Vauthey, Jean-Nicolas

2015-07-01

Readmission rates of 9.7% to 15.5% after hepatectomy have been reported. These rates are difficult to interpret due to variability in the time interval used to monitor readmission. The aim of this study was to refine the definition of readmission after hepatectomy. A prospectively maintained database of 3,041 patients who underwent hepatectomy from 1998 through 2013 was merged with the hospital registry to identify readmissions. Area under the curve (AUC) analysis was used to determine the time interval that best captured unplanned readmission. Readmission rates at 30 days, 90 days, and 1 year after discharge were 10.7% (n = 326), 17.3% (n = 526), and 31.9% (n = 971) respectively. The time interval that best accounted for unplanned readmissions was 45 days after discharge (AUC, 0.956; p < 0.001), during which 389 patients (12.8%) were readmitted (unplanned: n = 312 [10.3%]; planned: n = 77 [2.5%]). In comparison, the 30 days after surgery interval (used in the ACS-NSQIP database) omitted 65 (26.3%) unplanned readmissions. Multivariate analysis revealed the following risk factors for unplanned readmission: diabetes (odds ratio [OR] 1.6; p = 0.024), right hepatectomy (OR 2.1; p = 0.034), bile duct resection (OR 1.9; p = 0.034), abdominal complication (OR 1.8; p = 0.010), and a major postoperative complication (OR 2.4; p < 0.001). Neither index hospitalization > 7 days nor postoperative hepatobiliary complications were independently associated with readmission. To accurately assess readmission after hepatectomy, patients should be monitored 45 days after discharge. Copyright © 2015 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

High readmission rates after surgery for chronic pancreatitis.

PubMed

Fisher, Alexander V; Sutton, Jeffrey M; Wilson, Gregory C; Hanseman, Dennis J; Abbott, Daniel E; Smith, Milton T; Schmulewitz, Nathan; Choe, Kyran A; Wang, Jiang; Sussman, Jeffrey J; Ahmad, Syed A

2014-10-01

Readmission after complex gastrointestinal surgery is a frequent occurrence that burdens the health care system and leads to increased cost. Recent studies have demonstrated 30- and 90-day readmission rates of 15% and 19%, respectively, following pancreaticoduodenectomy. Given the psychosocial issues often associated with chronic pancreatitis, we hypothesized that readmission rates following surgery for chronic pancreatitis would be higher than previously reported for pancreaticoduodenectomy. We retrospectively reviewed patients undergoing surgery for chronic pancreatitis at a single institution between 2001 and 2013. Patients in this cohort underwent pancreaticoduodenectomy, Berne, Beger, or Frey procedures. Readmission to a primary or secondary hospital was evaluated at both 30 and 90 days after discharge. Multivariate logistic regression analysis was performed to identify factors associated with readmission. The records of 111 patients were evaluated, of which 69 (62%) underwent duodenal-preserving pancreatic head resection (Berne, Beger, or Frey), while the remaining 42 (38%) underwent pancreaticoduodenectomy. Within the duodenal-preserving pancreatic head resection arm, readmission rates at 30 and 90 days were 30.4% and 43.5%, respectively. Readmission rates following pancreaticoduodenectomy were similar with 33.3% at 30 days and 40.5% at 90 days. The most common reasons for readmission were pain control, infectious complications, and recurrent pancreatitis. On multivariate analysis, wound infection during the initial hospital stay was a predictor of readmission at both 30 and 90 days (P = .02). To our knowledge, our data represent the first report demonstrating very high readmission rates after surgery for chronic pancreatitis, more than double the previous rates reported for pancreaticoduodenectomy. This cohort of patients requires extensive discharge planning focused on pain control, nutritional optimization, and close postoperative monitoring