The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction
Open accessAbstract
Background—: National attention has increasingly focused on readmission as a target for quality improvement. We present the development and validation of a model approved by the National Quality Forum and used by the Centers for Medicare & Medicaid Services for hospital-level public reporting of risk-standardized readmission rates for patients discharged from the hospital after an acute myocardial infarction. Methods and Results—: We developed a hierarchical logistic regression model to calculate hospital risk-standardized 30-day all-cause readmission rates for patients hospitalized with acute myocardial infarction. The model was derived using Medicare claims data for a 2006 cohort and validated using claims and medical record data. The unadjusted readmission rate was 18.9%. The final model included 31 variables and had discrimination ranging from 8% observed 30-day readmission rate in the lowest predictive decile to 32% in the highest decile and a C statistic of 0.63. The 25th and 75th percentiles of the risk-standardized readmission rates across 3890 hospitals were 18.6% and 19.1%, with fifth and 95th percentiles of 18.0% and 19.9%, respectively. The odds of all-cause readmission for a hospital 1 SD above average were 1.35 times that of a hospital 1 SD below average. Hospital-level adjusted readmission rates developed using the claims model were similar to rates produced for the same cohort using a medical record model (correlation, 0.98; median difference, 0.02 percentage points). Conclusions—: This claims-based model of hospital risk-standardized readmission rates for patients with acute myocardial infarction produces estimates that are excellent surrogates for those produced from a medical record model.
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The Care Transitions Intervention: Results of a Randomized Controlled Trial
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The Patient Protection and Affordable Care Act
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Self-citationKeenan, P. S., Normand, S.-L. T., Lin, Z., Drye, E. E., Bhat, K. R., Ross, J. S., Schuur, J. D., Stauffer, B. D., Bernheim, S. M., Epstein, A. J., et al. (2008) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.108.802686 · Cited by 501
Self-citationMarciniak, T. A., Ellerbeck, E. F., Radford, M. J., Kresowik, T. F., Gold, J. A., Krumholz, H. M., Kiefe, C. I., Allman, R. M., Vogel, R. A., & Jencks, S. F. (1998) · JAMA · doi:10.1001/jama.279.17.1351 · Cited by 496
Self-citationKrumholz, H. M., Radford, M. J., Wang, Y., Chen, J., Heiat, A., & Marciniak, T. A. (1998) · JAMA · doi:10.1001/jama.280.7.623 · Cited by 494
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Hospital Readmission and Social Risk Factors Identified from Physician Notes
Navathe, A. S., Zhong, F., Lei, V. J., Chang, F. Y., Sordo, M., Topaz, M., Navathe, S. B., Rocha, R. A., & Zhou, L. (2018) · Health Services Research · doi:10.1111/1475-6773.12670 · Cited by 161
Temporal relationship of computed and structured diagnoses in electronic health record data
Schulz, W. L., Young, H. P., Coppi, A., Mortazavi, B. J., Lin, Z., Jean, R. A., & Krumholz, H. M. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01416-x · Cited by 20
Self-citationCuller, S. D., Kugelmass, A. D., Cohen, D. J., Reynolds, M. R., Katz, M. R., Brown, P. P., Schlosser, M. L., & Simon, A. W. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.013513 · Cited by 11
Metadata
- Authors
- Krumholz, H. M., Lin, Z., Drye, E. E., Desai, M. M., Han, L. F., Rapp, M. T., Mattera, J. A., & Normand, S.-L. T.
- Venue
- Circulation: Cardiovascular Quality and Outcomes
- Published
- 2011-03
- Volume
- 4
- Issue
- 2
- Pages
- 243-252
- ISSN
- 1941-7705 (ISSN-L)
- 1941-7713
- OpenAlex
- W2042177488
- Cited by
- 320
- References
- 20
- FWCI
- 38.62
- Type
- journal article
- Language
- en
- Open access
- green
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- Krumholz, H. M., Lin, Z., Drye, E. E., Desai, M. M., Han, L. F., Rapp, M. T., Mattera, J. A., & Normand, S.-L. T. (2011). An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction. Circulation: Cardiovascular Quality and Outcomes. https://doi.org/10.1161/circoutcomes.110.957498
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