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Population choice and variable selection in the estimation and application of risk models.

R A Dudley1, D J Rennie, H S Luft

  • 1Institute for Health Policy Studies, School of Medicine, University of California, San Francisco, USA.

Inquiry : a Journal of Medical Care Organization, Provision and Financing
|August 25, 1999
PubMed
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Risk adjustment models using demographic and employment data are not universally applicable across different populations. Employment variables have minimal predictive power for medical costs, suggesting caution in cross-population model use.

Area of Science:

  • Health economics
  • Biostatistics
  • Healthcare management

Background:

  • Risk adjustment models are crucial for healthcare policy and resource allocation.
  • Accurate prediction of medical expenditures is essential for health plan management.
  • The transferability of risk models across diverse populations remains a challenge.

Purpose of the Study:

  • To evaluate the transferability of risk adjustment models across different populations.
  • To assess the predictive power of demographic, employment, and administrative variables for medical expenditures.
  • To inform policymakers on the appropriate application of risk models.

Main Methods:

  • Development and comparison of risk adjustment models using demographic and employment variables.

Related Experiment Videos

  • Analysis of models across populations from a single employer in different health plans.
  • Evaluation of models across populations from a single health plan with different employers.
  • Statistical assessment of variable predictive power for medical expenditures.

    • Main Results:

    • Risk adjustment models showed statistically significant differences when applied to different populations.
    • Demographic and employment variables demonstrated limited transferability between populations.
    • Employment-based variables, such as length of employment, had minimal predictive power.
    • Administrative variables were found to be not useful in predicting medical expenditures.

    Conclusions:

    • Risk adjustment models are not easily transferable across populations due to significant variations.
    • Employment-based variables should not be included in future risk models for large employers.
    • Policymakers must exercise caution when applying risk models to different demographic and employment groups.