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    Med Care. 2005 Mar;43(3):282-92.

    Quality improvement efforts and hospital performance: rates of beta-blocker prescription after acute myocardial infarction.

    Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM.

    Section of Health Policy and Administration, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06520-8025, USA.

    BACKGROUND: Hospitals are under increasing pressure to measure and improve quality of care, and substantial resources are being directed at a variety of quality improvement strategies; however, the evidence base supporting these strategies is limited. OBJECTIVE: We sought to identify quality improvement efforts that were associated with hospitals' beta-blocker prescription rates after acute myocardial infarction (AMI). RESEARCH DESIGN: This was a cross-sectional study using data from a telephone survey of quality management directors at participating hospitals linked with patient-level data from the National Registry of Myocardial Infarction (NRMI) during the study period, October 1997 to September 1999. SUBJECTS: A total of 60,363 patients discharged with a confirmed AMI from 234 US hospitals were included. MEASURES: Hospital performance based on beta-blocker rates characterized as the top 20%, lower 20%, and middle 40% of hospitals; reported quality improvement efforts, including system interventions, physician leadership, administrative support for quality improvement efforts, and data feedback; hospital teaching status, AMI volume, geographic location, and ownership type. RESULTS: The mean hospital-specific beta-blocker rate was 60.2%; however, the variation in beta-blocker use across hospitals was marked (range, 19.4-89.3%, standard deviation, 12.7% points), and quality improvement efforts used varied greatly. None of the quality improvement efforts distinguished higher from medium performers; the higher and the medium performers together were distinguished from the lower performers in organizational support for quality improvement efforts (fully adjusted odds ratio [OR] 1.89, 95% confidence interval [CI] 1.17-3.06) and physician leadership (fully adjusted OR 9.88, 95% CI 2.64-37.02). Among the specific quality improvement interventions, only standing orders were associated with having higher/medium versus lower performance, and their effect had borderline significance (fully adjusted OR 2.26, 95% CI 0.97-5.30, P = 0.07). CONCLUSIONS: Our findings highlight the organizational environment, specifically the absence of administrative support or physician leadership for quality improvement, as an important correlate of poor beta-blocker rates after AMI. Future studies are needed to isolate hospital quality improvement efforts that are associated with superior performance.

    PMID: 15725985 [PubMed - indexed for MEDLINE]

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