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Article
An integer programming model to limit hospital selection in studies with repeated sampling
Quantitative Health Sciences Publications and Presentations
  • Michael Shwartz, Boston University
  • Ronald K. Klimberg, Boston University
  • Melinda Karp, Harvard Community Health Plan
  • Lisa I. Iezzoni, Harvard Medical School
  • Arlene S. Ash, University of Massachusetts Medical School
  • Janelle Heineke, Boston University
  • Susan M. C. Payne, Boston University
  • Joseph D. Restuccia, Boston University
UMMS Affiliation
Department of Quantitative Health Sciences
Date
6-1-1995
Document Type
Article
Medical Subject Headings
Bias (Epidemiology); Data Interpretation, Statistical; Diagnosis-Related Groups; Health Services Misuse; Health Services Research; Hospitals; Medical Records; Models, Statistical; Outcome Assessment (Health Care); Quality of Health Care; *Sampling Studies; Small-Area Analysis; United States
Abstract
OBJECTIVE: We describe an integer programming model that, for studies requiring repeated sampling from hospitals, can aid in selecting a limited set of hospitals from which medical records are reviewed. STUDY SETTING: The model is illustrated in the context of two studies: (1) an analysis of the relationship between variations in hospital admission rates across geographic areas and rates of inappropriate admissions; and (2) a validation of computerized algorithms that screen for complications of hospital care. STUDY DESIGN: Common characteristics of the two studies: (1) hospitals are classified into categories, e.g., high, medium, and low; (2) the classification process is repeated several times, e.g., for different medical conditions; (3) medical records are selected separately for each iteration of the classification; and (4) for budgetary and logistical reasons, reviews must be concentrated in a relatively small subset of hospitals. DATA COLLECTION/EXTRACTION METHODS. In each study, hospitals are ranked based on analysis of hospital discharge abstract data. CONCLUSIONS: The model is useful for identifying a subset of hospitals at which more intensive reviews will be conducted.
Rights and Permissions
Citation: Health Serv Res. 1995 Jun;30(2):359-76. Link to article on publisher's site
Related Resources
Link to Article in PubMed
Citation Information
Michael Shwartz, Ronald K. Klimberg, Melinda Karp, Lisa I. Iezzoni, et al.. "An integer programming model to limit hospital selection in studies with repeated sampling" Vol. 30 Iss. 2 (1995) ISSN: 0017-9124 (Linking)
Available at: http://works.bepress.com/arlene_ash/59/