The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Who Has Higher Readmission Rates for Heart Failure, and Why?: Implications for Efforts to Improve Care Using Financial Incentives
Open accessAbstract
Background—: Reducing readmissions for heart failure is an important goal for policymakers. Current national policies financially penalize hospitals with high readmission rates, which may have unintended consequences if these institutions are resource-poor, either financially or clinically. Methods and Results—: We analyzed national claims data for Medicare patients with heart failure discharged from US hospitals in 2006 to 2007. We used multivariable models to examine hospital characteristics, 30-day all-cause readmission rates, and likelihood of performing in the worst quartile of readmission rates nationally. Among 905 764 discharges in our sample, patients discharged from public hospitals (27.9%) had higher readmission rates than nonprofit hospitals (25.7%, P <0.001), as did patients discharged from hospitals in counties with low median income (29.4%) compared with counties with high median income (25.7%, P <0.001). Patients discharged from hospitals without cardiac services (27.2%) had higher readmission rates than those from hospitals with full cardiac services (25.1%, P <0.001); patients discharged from hospitals in the lowest quartile of nurse staffing (28.5%) had higher readmission rates than those from hospitals in the highest quartile (25.4%, P <0.001). Patients discharged from small hospitals (28.4%) had higher readmission rates than those discharged from large hospitals (25.2%, P <0.001). These same characteristics identified hospitals that were likely to perform in the worst quartile nationally. Conclusions—: Given that many poor-performing hospitals also have fewer resources, they may suffer disproportionately from financial penalties for high readmission rates. As we seek to improve care for patients with heart failure, we should ensure that penalties for poor performance do not worsen disparities in quality of care.
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Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
Cited by
Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital
Hu, J., Kind, A. J. H., & Nerenz, D. (2018) · American Journal of Medical Quality · doi:10.1177/1062860617753063 · Cited by 389
Van Spall, H. G. C., Rahman, T., Mytton, O., Ramasundarahettige, C., Ibrahim, Q., Kabali, C., Coppens, M., Brian Haynes, R., & Connolly, S. (2017) · European Journal of Heart Failure · doi:10.1002/ejhf.765 · Cited by 381
Hospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure
Bradley, E. H., Curry, L., Horwitz, L. I., Sipsma, H., Wang, Y., Walsh, M. N., Goldmann, D., White, N., Piña, I. L., & Krumholz, H. M. (2013) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.111.000101 · Cited by 346
Quality of Care and Patient Outcomes in Critical Access Rural Hospitals
Joynt, K. E., Harris, Y., Orav, E. J., & Jha, A. K. (2011) · JAMA · doi:10.1001/jama.2011.902 · Cited by 289
Self-citationJoynt Maddox, K. E., Reidhead, M., Hu, J., Kind, A. J. H., Zaslavsky, A. M., Nagasako, E. M., & Nerenz, D. R. (2019) · Health Services Research · doi:10.1111/1475-6773.13133 · Cited by 214
Metadata
- Authors
- Joynt, K. E., & Jha, A. K.
- Venue
- Circulation: Cardiovascular Quality and Outcomes
- Published
- 2011-01
- Volume
- 4
- Issue
- 1
- Pages
- 53-59
- ISSN
- 1941-7705 (ISSN-L)
- 1941-7713
- OpenAlex
- W2885813120
- Cited by
- 231
- References
- 1
- FWCI
- 8.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Joynt, K. E., & Jha, A. K. (2011). Who Has Higher Readmission Rates for Heart Failure, and Why?: Implications for Efforts to Improve Care Using Financial Incentives. Circulation: Cardiovascular Quality and Outcomes. https://doi.org/10.1161/circoutcomes.110.950964
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