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ARTICLE |

Hospital Leaders' Opinions of the HCFA Mortality Data FREE

Donald M. Berwick, MD, MPP; David L. Wald
[+] Author Affiliations

Reprint requests to Department of Quality-of-Care Measurement, Harvard Community Health Plan, 10 Brookline Pl W, Brookline, MA 02146 (Dr Berwick).


JAMA. 1990;263(2):247-249. doi:10.1001/jama.1990.03440020081037
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The release of hospital-specific mortality data by the Health Care Financing Administration has stirred controversy about the adequacy of current case-mix adjustment models and about the wisdom in general of public release of outcome data. We surveyed a national sample of hospitals, stratified by measured mortality rate, in the 1987 Health Care Financing Administration data release to determine the reactions of hospital leaders to the data and to learn if hospitals with high mortality had different attitudes from those of hospitals with average or low mortality as measured by the Health Care Financing Administration. Seventy-eight percent (N = 195) responded. All hospitals, regardless of mortality rate, shared an extremely negative view of the accuracy, usefulness, and interpretability of the Health Care Financing Administration's mortality data. The lowest possible rating (poor) was given by 70% of the respondents on the question of usefulness of the data to the hospital, by 54% on accuracy of the data, and by 85% on usefulness of the data to consumers. Only 31% of the respondents said that they had used the data at all for internal purposes and 20% reported that the data release had caused problems for the hospital. Hospitals in the high-mortality group were more likely than others to report both use of the data and problems from its release. Publication of outcome data to encourage quality improvement may face severe and pervasive barriers in the attitudes and reactions of hospital leaders who are potential clients for such data.

(JAMA. 1990;263:247-249)

REFERENCES

Medicare Hospital Mortality Information, 1986 . Washington, DC: US Dept of Health and Human Services; 1987;. Publication 01-002.
Dubois RW, Brook RH, Rogers WH.  Adjusted hospital death rates: a potential screen for quality of medical care . Am J Public Health. 1987;;77:1162-1167.
Dubois RW, Rogers WH, Moxley JH, Draper D, Brook RH.  Hospital inpatient mortality: is it a predictor of quality? N Engl J Med. 1987;;317:1674-1680.
Hixson JS.  Efficacy of statistical outlier analysis for monitoring quality of care . Presented at the 1988 Research Symposium, American Medical Review Research Center; October 28, 1988; Washington, DC .
Medicare: Improved Patient Outcome Analysis Could Enhance Quality Assessment . Washington, DC: US General Accounting Office; 1988;. Publication GAO/PEMD-88-23.
Blumberg MS.  Comments on HCFA hospital death rate statistical outliers . Health Serv Res. 1987;;21:715-739.
Blumberg MS.  Risk adjusting health care outcomes: a methodologic review . Med Care Rev. 1986;;43:351-393.
Fink A, Yano EM, Brook RH.  The condition of the literature on differences in hospital mortality . Med Care. 1989;;27:315-336.
Chassin MR, Park RE, Lohr KN, Keesey J, Brook RH.  Differences among hospitals in Medicare patient mortality . Health Serv Res. 1989;;24: 1-31.
Jencks SF, Daley J, Draper D, Thomas N, Lenhart G, Walker J.  Interpreting hospital mortality data: the role of clinical risk adjustment . JAMA. 1988;;260:3611-3616.
Jencks SF, Dobson A.  Refining case-mix adjustment: the research evidence . N Engl J Med. 1987;;317:679-686.
Daley J, Jencks S, Draper D, Lenhart G, Thomas N, Walker J.  Predicting hospital-associated mortality for Medicare patients: a method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure . JAMA. 1988;;260:3617-3624.
Berwick DM.  Continuous improvement as an ideal in health care . N Engl J Med. 1989;;320:53-56.
Ellwood PM.  Outcomes management: a technology of patient experience . N Engl J Med. 1988;; 318:1549-1556.

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Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

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Medicare Hospital Mortality Information, 1986 . Washington, DC: US Dept of Health and Human Services; 1987;. Publication 01-002.
Dubois RW, Brook RH, Rogers WH.  Adjusted hospital death rates: a potential screen for quality of medical care . Am J Public Health. 1987;;77:1162-1167.
Dubois RW, Rogers WH, Moxley JH, Draper D, Brook RH.  Hospital inpatient mortality: is it a predictor of quality? N Engl J Med. 1987;;317:1674-1680.
Hixson JS.  Efficacy of statistical outlier analysis for monitoring quality of care . Presented at the 1988 Research Symposium, American Medical Review Research Center; October 28, 1988; Washington, DC .
Medicare: Improved Patient Outcome Analysis Could Enhance Quality Assessment . Washington, DC: US General Accounting Office; 1988;. Publication GAO/PEMD-88-23.
Blumberg MS.  Comments on HCFA hospital death rate statistical outliers . Health Serv Res. 1987;;21:715-739.
Blumberg MS.  Risk adjusting health care outcomes: a methodologic review . Med Care Rev. 1986;;43:351-393.
Fink A, Yano EM, Brook RH.  The condition of the literature on differences in hospital mortality . Med Care. 1989;;27:315-336.
Chassin MR, Park RE, Lohr KN, Keesey J, Brook RH.  Differences among hospitals in Medicare patient mortality . Health Serv Res. 1989;;24: 1-31.
Jencks SF, Daley J, Draper D, Thomas N, Lenhart G, Walker J.  Interpreting hospital mortality data: the role of clinical risk adjustment . JAMA. 1988;;260:3611-3616.
Jencks SF, Dobson A.  Refining case-mix adjustment: the research evidence . N Engl J Med. 1987;;317:679-686.
Daley J, Jencks S, Draper D, Lenhart G, Thomas N, Walker J.  Predicting hospital-associated mortality for Medicare patients: a method for patients with stroke, pneumonia, acute myocardial infarction, and congestive heart failure . JAMA. 1988;;260:3617-3624.
Berwick DM.  Continuous improvement as an ideal in health care . N Engl J Med. 1989;;320:53-56.
Ellwood PM.  Outcomes management: a technology of patient experience . N Engl J Med. 1988;; 318:1549-1556.
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