American Journal of Preventive Medicine
Volume 21, Issue 1 , Pages 10-19, July 2001

Methods for priority setting among clinical preventive services1

  • Michael V Maciosek, PhD

      Affiliations

    • HealthPartners Research Foundation (Maciosek), Minneapolis, Minnesota, USA
    • ,
  • Ashley B Coffield, MPA

      Affiliations

    • Partnership for Prevention (Coffield), Washington, DC, USA
    • Corresponding Author InformationAddress correspondence and reprint requests to: Ashley B. Coffield, MPA, Partnership for Prevention, 1233 20th Street, NW, Washington, DC 20036
    • ,
  • J.Michael McGinnis, MD (MPP)

      Affiliations

    • Robert Wood Johnson Foundation (McGinnis), Princeton, New Jersey, USA
    • ,
  • Jeffrey R Harris, MD, MPH

      Affiliations

    • Centers for Disease Control and Prevention (Harris, Caldwell), Atlanta, Georgia, USA
    • ,
  • M.Blake Caldwell, MD

      Affiliations

    • Centers for Disease Control and Prevention (Harris, Caldwell), Atlanta, Georgia, USA
    • ,
  • Steven M Teutsch, MD, MPH

      Affiliations

    • Merck & Co., Inc. (Teutsch), West Point, Pennsylvania, USA
    • ,
  • David Atkins, MD, MPH

      Affiliations

    • Agency for Healthcare Research and Quality (Atkins), Rockville, Maryland, USA
    • ,
  • Jordan H Richland, MPA, MPH

      Affiliations

    • American College of Preventive Medicine (Richland), Washington, DC, USA
    • ,
  • Anne Haddix, PhD

      Affiliations

    • Emory University (Haddix), Atlanta, Georgia, USA

Abstract 

Overview: Methods used to compare the value of clinical preventive services based on two criteria—clinically preventable burden (CPB) and cost effectiveness (CE)—are described. A companion article provides rankings of clinical preventive services and discusses its uses for decision-makers; this article focuses on the methods, challenges faced, and solutions. The authors considered all types of data essential to measuring CPB and CE for services recommended by the U.S. Preventive Services Task Force and developed methods essential to ensuring valid comparisons of different services’ relative value.

Keywords:  cost-benefit analysis, data collection, delivery of health care, economics, healthcare quality, access and evaluation, health priorities, preventive health services, preventive medicine, quality-adjusted life years

 
  • 1 The full text of this article is available via AJPM Online at www.elsevier.com/locate/ajpmonline.

PII: S0749-3797(01)00309-9

American Journal of Preventive Medicine
Volume 21, Issue 1 , Pages 10-19, July 2001

Article Tools