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Methods for analyzing health care utilization and costs.

P Diehr1, D Yanez, A Ash

  • 1Department of Biostatistics, University of Washington, Seattle 98195, USA. pdiehr@biostat.washington.edu

Annual Review of Public Health
|June 3, 1999
PubMed
Summary

Analyzing health care utilization is key to answering important health questions. This paper reviews statistical methods, including the two-part model and generalized linear models, for analyzing complex utilization data.

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Area of Science:

  • Health Services Research
  • Biostatistics
  • Econometrics

Background:

  • Health care utilization data are crucial for understanding health care systems.
  • Analyzing these data presents unique statistical challenges due to their characteristics.

Purpose of the Study:

  • To provide a comprehensive overview of statistical methods for analyzing health care utilization data.
  • To discuss challenges and newly available methods for handling such data.

Main Methods:

  • Discussion of data sources and statistical properties of utilization data.
  • Review of common analytic methods, including the two-part model.
  • Introduction to advanced statistical methods like generalized linear models and methods for censored data.

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Main Results:

  • The paper outlines various statistical approaches applicable to health care utilization.
  • It highlights the utility of both traditional and novel analytical techniques.
  • Examples are provided to illustrate the application of discussed methods.

Conclusions:

  • Effective analysis of health care utilization requires understanding data properties and appropriate statistical methods.
  • The paper equips researchers with knowledge of established and emerging techniques for robust analysis.
  • Proper methodology enhances the ability to answer critical health care questions.