An integer programming model to limit hospital selection in studies with repeated sampling
Department of Quantitative Health Sciences
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
Biostatistics | Epidemiology | Health Services Research
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.
Health Serv Res. 1995 Jun;30(2):359-76. Link to article on publisher's site
Health services research
Shwartz, Michael; Klimberg, Ronald K.; Karp, Melinda; Iezzoni, Lisa I.; Ash, Arlene S.; Heineke, Janelle; Payne, Susan M. C.; and Restuccia, Joseph D., "An integer programming model to limit hospital selection in studies with repeated sampling" (1995). Quantitative Health Sciences Publications and Presentations. 638.