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Article
Optimal reporting of health care process measures: inferential statistics as help or hindrance
Quantitative Health Sciences Publications and Presentations
  • Jeroan J. Allison, University of Massachusetts Medical School
  • Jaimee Calhoun, University of Alabama
  • Terry C. Wall, University of Alabama
  • Claire M. Spettell
  • Crayton A. Fargason, Jr.
  • Norman W. Weissman, University of Alabama
  • Catarina I. Kiefe, University of Massachusetts Medical School
UMMS Affiliation
Department of Quantitative Health Sciences
Date
1-13-2001
Document Type
Article
Medical Subject Headings
Health Services Research; Humans; Models, Statistical; Process Assessment (Health Care); *Quality Indicators, Health Care; Risk Adjustment
Abstract
In this paper we discuss the appropriate application of inferential statistics to practice profiles and other measures of care. To accomplish our objectives, we first describe the relative merits of measuring three well-recognized domains of medical quality: structure, process, and outcome. Next, we discuss inferential statistics as used in quality improvement. We then describe several common circumstances that arise in the measurement of medical care, giving attention to the application of inferential statistics to each situation. We end with a brief discussion of statistical techniques commonly used in the measurement of quality and challenges that arise with their use.
Rights and Permissions
Citation: Manag Care Q. 2000 Autumn;8(4):1-10.
Related Resources
Link to Article in PubMed
Citation Information
Jeroan J. Allison, Jaimee Calhoun, Terry C. Wall, Claire M. Spettell, et al.. "Optimal reporting of health care process measures: inferential statistics as help or hindrance" Vol. 8 Iss. 4 (2001) ISSN: 1064-5454 (Linking)
Available at: http://works.bepress.com/catarina_kiefe/107/