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Volumn 25, Issue 6, 2006, Pages

U.S. health system performance: A national scorecard

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; HEALTH CARE DELIVERY; HEALTH CARE POLICY; HEALTH CARE QUALITY; HEALTH SERVICES RESEARCH; HUMAN; INTERNATIONAL COOPERATION; ORGANIZATION AND MANAGEMENT; OUTCOME ASSESSMENT; PATIENT CARE; QUALITY CONTROL; REIMBURSEMENT; SOCIAL BEHAVIOR; SOCIAL JUSTICE; UNITED STATES;

EID: 33845286511     PISSN: 02782715     EISSN: 02782715     Source Type: Journal    
DOI: 10.1377/hlthaff.25.w457     Document Type: Article
Times cited : (139)

References (33)
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    • Care Coordination
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  • 6
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    • The appendix is available online at
    • An online technical appendix lists experts contributing to the scorecard, details data sources, and describes indicators and composites developed for the scorecard. Throughout the discussion of the scorecard results in the text,many factual statements aremade that are not directly attributed to specific sources using traditional endnotes, because of space constraints. Unless otherwise specified, sources for these statements are included in the indicator source notes for each exhibit. The appendix is available online at http://content. healthaffairs.org/cgi/content/full/hlthaff.25.w457/DC2.
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    • note
    • Indicators with 100 percent targets include adults with adequate coverage, adults with no medical bills/debt, families spending no more than 10 percent of income on out-of-pocket medical costs and premiums, and population under age sixty-five in states where premiums are less than 15 percent of median household income.
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    • note
    • Indicator includes seven key preventive care services: blood pressure check, cholesterol screening, pap smear, mammogram, fecal occult blood test or sigmoidoscopy/colonoscopy, and flu shot. See Note 6 for online technical appendix, p. 11.
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    • note
    • For the list of ten hospital clinical indicators, see the online technical appendix (Note 6), p. 11.
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    • (published online 30 November 2004; 10.1377/hlthaff.w4.534)
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    • note
    • Data analysis by Sir Brian Jarman, Imperial College, England. Jarman calculated ratios and potential reductions in mortality. See online technical appendix (Note 6), pp. 12-13.
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    • note
    • For hospitals providing 2005 data to HCAHPS benchmarking database. Data analysis provided by AHRQ.
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    • note
    • Calculation by authors based on 2003 variations in Medicare ACS rates and reimbursement per discharge.
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    • note
    • Data analysis by Gerard Anderson, Johns Hopkins University. See online technical appendix (Note 6), p. 15.
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    • note
    • Calculation by authors based on 2003 variations in Medicare readmission rates and costs per readmission.
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    • Improving the Efficiency of U.S. Healthcare: Can Pay-for-Performance Help?
    • Presentation at the, 25 May
    • Data analysis by Elliott Fisher, Dartmouth Medical School. See online technical appendix (Note 6), p. 16; and E. Fisher, "Improving the Efficiency of U.S. Healthcare: Can Pay-for-Performance Help?" (Presentation at the Thirteenth Princeton Conference: Reinventing Health Care Delivery in the Twenty-first Century, 25 May 2006).
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    • See also, (published online 7 October 2004; 10.1377/hlthaff.VAR.19)
    • See also E.S. Fisher et al., "Variations in the Longitudinal Efficiency of Academic Medical Centers," Health Affairs 23 (2004): VAR19-VAR32 (published online 7 October 2004; 10.1377/hlthaff.VAR.19).
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    • (2006) Unlocking Secrets to Better Health Care


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