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Can data-driven benchmarks be used to set the goals of Healthy People 2010?

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  • Allison, J.
  • Kiefe, C.I.
  • Weissman, N.W.

Abstract

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.

Suggested Citation

  • Allison, J. & Kiefe, C.I. & Weissman, N.W., 1999. "Can data-driven benchmarks be used to set the goals of Healthy People 2010?," American Journal of Public Health, American Public Health Association, vol. 89(1), pages 61-65.
    • Handle: RePEc:aph:ajpbhl:1999:89:1:61-65_7
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    Cited by:

    1. Fukuda, Yoshiharu & Nakamura, Keiko & Takano, Takehito, 2002. "A combination of an extrapolation method and a benchmark method to develop quantitative health targets for Japan," Health Policy, Elsevier, vol. 61(2), pages 201-212, August.
    2. Fukuda, Yoshiharu & Nakamura, Keiko & Takano, Takehito, 2004. "Increased excess deaths in urban areas: quantification of geographical variation in mortality in Japan, 1973-1998," Health Policy, Elsevier, vol. 68(2), pages 233-244, May.

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