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Modeling Multidimensional Transitions in Health Care

Author

Listed:
  • XIAN LIU

    (University of Michigan)

  • JERSEY LIANG

    (University of Michigan)

  • EDWARD JOW-CHING TU

    (Hong Kong University of Science and Technology)

  • NANCY WHITELAW

    (Henry Ford Health System)

Abstract

Conventional multistate life table accounting procedures are based on theoretical assumptions that are appropriate primarily for demographic events. Applying these approaches to the area of health care, however, may lead to serious biases given the frequent turnovers of events such as hospitalization and institutionalization. In addition, traditional approaches have been criticized for failing to capture population heterogeneity. This research introduces a new algorithm to estimate multistate life table indicators regarding health care use, taking advantage of the availability of information on average lengths of stay in hospitals and nursing homes. The survival analysis approach is used to estimate age-specific transition probabilities in order to address the issue of population heterogeneity.

Suggested Citation

  • Xian Liu & Jersey Liang & Edward Jow-Ching Tu & Nancy Whitelaw, 1997. "Modeling Multidimensional Transitions in Health Care," Sociological Methods & Research, , vol. 25(3), pages 284-317, February.
    • Handle: RePEc:sae:somere:v:25:y:1997:i:3:p:284-317
    DOI: 10.1177/0049124197025003002
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    References listed on IDEAS

    as
    1. Robert Schoen, 1975. "Erratum to: Constructing Increment-Decrement Life Tables," Demography, Springer;Population Association of America (PAA), vol. 12(3), pages 571-571, August.
    2. Kenneth Land & Jack Guralnik & Dan Blazer, 1994. "Estimating Increment-Decrement Life Tables with Multiple Covariates from Panel Data: The Case of Active Life Expectancy," Demography, Springer;Population Association of America (PAA), vol. 31(2), pages 297-319, May.
    3. Robert Schoen, 1975. "Constructing increment-decrement life tables," Demography, Springer;Population Association of America (PAA), vol. 12(2), pages 313-324, May.
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