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Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission.
- Source :
-
Annals of internal medicine [Ann Intern Med] 2014 Nov 18; Vol. 161 (10 Suppl), pp. S66-75. - Publication Year :
- 2014
-
Abstract
- Background: Existing publicly reported readmission measures are condition-specific, representing less than 20% of adult hospitalizations. An all-condition measure may better measure quality and promote innovation.<br />Objective: To develop an all-condition, hospital-wide readmission measure.<br />Design: Measure development study.<br />Setting: 4821 U.S. hospitals.<br />Patients: Medicare fee-for-service beneficiaries aged 65 years or older.<br />Measurements: Hospital-level, risk-standardized unplanned readmissions within 30 days of discharge. The measure uses Medicare fee-for-service claims and is a composite of 5 specialty-based, risk-standardized rates for medicine, surgery/gynecology, cardiorespiratory, cardiovascular, and neurology cohorts. The 2007-2008 admissions were randomly split for development and validation. Models were adjusted for age, principal diagnosis, and comorbid conditions. Calibration in Medicare and all-payer data was examined, and hospital rankings in the development and validation samples were compared.<br />Results: The development data set contained 8 018 949 admissions associated with 1 276 165 unplanned readmissions (15.9%). The median hospital risk-standardized unplanned readmission rate was 15.8 (range, 11.6 to 21.9). The 5 specialty cohort models accurately predicted readmission risk in both Medicare and all-payer data sets for average-risk patients but slightly overestimated readmission risk at the extremes. Overall hospital risk-standardized readmission rates did not differ statistically in the split samples (P = 0.71 for difference in rank), and 76% of hospitals' validation-set rankings were within 2 deciles of the development rank (24% were more than 2 deciles). Of hospitals ranking in the top or bottom deciles, 90% remained within 2 deciles (10% were more than 2 deciles) and 82% remained within 1 decile (18% were more than 1 decile).<br />Limitation: Risk adjustment was limited to that available in claims data.<br />Conclusion: A claims-based, hospital-wide unplanned readmission measure for profiling hospitals produced reasonably consistent results in different data sets and was similarly calibrated in both Medicare and all-payer data.<br />Primary Funding Source: Centers for Medicare & Medicaid Services.
Details
- Language :
- English
- ISSN :
- 1539-3704
- Volume :
- 161
- Issue :
- 10 Suppl
- Database :
- MEDLINE
- Journal :
- Annals of internal medicine
- Publication Type :
- Academic Journal
- Accession number :
- 25402406
- Full Text :
- https://doi.org/10.7326/M13-3000