Using Administrative Data to Screen Hospitals for High Complication Rates
Medicare's Peer Review Organizations (PROs) now are required to work with hospitals to improve patient outcomes. Which hospitals should be targeted? We used 1988 California discharge data to identify hospitals with higher-than-expected rates of complications in six adult, medical-surgical patie...
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| Veröffentlicht in: | Inquiry (Chicago) 1994-04, Vol.31 (1), p.40-55 |
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| creator | Iezzoni, Lisa I. Daley, Jennifer Heeren, Timothy Foley, Susan M. Hughes, John S. Fisher, Elliott S. Duncan, Charles C. Coffman, Gerald A. |
| description | Medicare's Peer Review Organizations (PROs) now are required to work with hospitals to improve patient outcomes. Which hospitals should be targeted? We used 1988 California discharge data to identify hospitals with higher-than-expected rates of complications in six adult, medical-surgical patient populations. Relative hospital complication rates generally were correlated across clinical areas, although correlations were lower between medical and surgical case types. Higher relative rates of complications were associated with larger size, major teaching facilities, and provision of open heart surgery, as well as with coding more diagnoses per case. Complication rates generally were not related significantly to hospital mortality rates as calculated by the Health Care Financing Administration. Different hospitals may be chosen for quality review depending on the method used to identify poor outcomes. |
| format | Article |
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| language | eng |
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| source | MEDLINE; PAIS Index; Jstor Complete Legacy |
| subjects | Aged California - epidemiology Cardiology Centers for Medicare and Medicaid Services (U.S.) Chronic Disease Correlation analysis Data Interpretation, Statistical Diagnosis-Related Groups Endoscopy Female Health outcomes Health Services Research Hospital administration Hospital Bed Capacity Hospital Mortality Hospitals Hospitals - standards Humans Iatrogenic Disease - epidemiology Insurance pools Logistic Models Male Medicare Middle Aged Mortality Nonprofit hospitals Outcome and Process Assessment (Health Care) - statistics & numerical data Ownership Patient Discharge - statistics & numerical data Peer review Postoperative Complications - epidemiology Professional Review Organizations Quality Risk Factors Studies Surgical specialties Teaching hospitals United States |
| title | Using Administrative Data to Screen Hospitals for High Complication Rates |
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