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Can data-driven benchmarks be used to set the goals of healthy people 2010
Quantitative Health Sciences Publications and Presentations
  • Jeroan J. Allison, University of Massachusetts Medical School
  • Catarina I. Kiefe, University of Massachusetts Medical School
  • Norman W. Weissman, University of Alabama
UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
Document Type
Benchmarking; *Data Interpretation, Statistical; *Evidence-Based Medicine; Female; Forecasting; *Health Planning Guidelines; Health Priorities; Humans; Mammography; Mass Screening; Middle Aged; Reproducibility of Results; United States

OBJECTIVES: Expert panels determined the public health goals of Healthy People 2000 subjectively. The present study examined whether data-driven benchmarks provide a better alternative.

METHODS: We developed the "pared-mean" method to define from data the best achievable health care practices. We calculated the pared-mean benchmark for screening mammography from the 1994 National Health Interview Survey, using the metropolitan statistical area as the "provider" unit. Beginning with the best-performing provider and adding providers in descending sequence, we established the minimum provider subset that included at least 10% of all women surveyed on this question. The pared-mean benchmark is then the proportion of women in this subset who received mammography.

RESULTS: The pared-mean benchmark for screening mammography was 71%, compared with the Healthy People 2000 goal of 60%.

CONCLUSIONS: For Healthy People 2010, benchmarks derived from data reflecting the best available care provide viable alternatives to consensus-derived targets. We are currently pursuing additional refinements to the data-driven pared-mean benchmark approach.

Am J Public Health. 1999 Jan;89(1):61-5.
PubMed ID
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Citation Information
Jeroan J. Allison, Catarina I. Kiefe and Norman W. Weissman. "Can data-driven benchmarks be used to set the goals of healthy people 2010" Vol. 89 Iss. 1 (1999) ISSN: 0090-0036 (Linking)
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