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An integer programming model to limit hospital selection in studies with repeated sampling

M Shwartz1, R K Klimberg, M Karp

  • 1Operations Management Department, School of Management, Boston University, MA 02215, USA.

Health Services Research
|June 1, 1995
PubMed
Summary
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This study presents an integer programming model to efficiently select a subset of hospitals for medical record review in studies with repeated sampling. The model aids in concentrating reviews for cost-effectiveness.

Area of Science:

  • Health Services Research
  • Operations Research
  • Medical Informatics

Background:

  • Studies requiring repeated sampling from hospitals often face budgetary and logistical constraints.
  • Efficient selection of hospitals for medical record review is crucial for resource optimization.
  • Existing methods may not adequately address the complexities of repeated sampling and classification.

Purpose of the Study:

  • To introduce an integer programming model for selecting a limited set of hospitals for medical record review.
  • To demonstrate the model's utility in studies involving repeated hospital classifications and sampling.
  • To aid in concentrating intensive reviews in a manageable subset of hospitals.

Main Methods:

  • Development of an integer programming model for hospital selection.

Related Experiment Videos

  • Application of the model in two distinct studies: (1) analyzing hospital admission rates and inappropriate admissions, and (2) validating computerized algorithms for hospital-acquired complications.
  • Hospitals were ranked using hospital discharge abstract data and classified into categories for repeated analysis.

    • Main Results:

    • The integer programming model effectively identifies a subset of hospitals for focused medical record review.
    • The model's applicability was demonstrated across different study designs and data types.
    • Efficient selection of hospitals is achievable even with repeated classifications and sampling iterations.

    Conclusions:

    • The proposed integer programming model is a valuable tool for optimizing hospital selection in complex research studies.
    • It enables targeted, intensive reviews in a limited number of hospitals, enhancing efficiency and cost-effectiveness.
    • The model supports data-driven decisions for resource allocation in healthcare research.