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A sequential criterion analysis for assessing coping with chronic illness

D C Turk, H J Sobel, M J Follick

    Journal of Human Stress
    |January 1, 1980
    PubMed
    Summary
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    This study introduces a three-stage sequential criterion analysis for chronic illness, aiding in understanding patient adaptation and identifying intervention needs. This systematic approach helps tailor treatments and challenges assumptions about chronic patient homogeneity.

    Area of Science:

    • Behavioral Psychology
    • Chronic Illness Management
    • Health Services Research

    Background:

    • Chronic illness presents complex adaptive challenges for patients.
    • Existing models may not fully capture the heterogeneity within chronic patient populations.
    • A systematic approach is needed to understand patient adaptation and guide interventions.

    Purpose of the Study:

    • To present a three-stage sequential criterion analysis heuristic for studying chronic illness.
    • To illustrate the utility of this model in understanding patient adaptive processes.
    • To demonstrate how this approach can identify patients for intervention and inform treatment content.

    Main Methods:

    • The study utilizes the Goldfried-D'Zurilla behavior model as a foundation.

    Related Experiment Videos

  • A three-stage sequential criterion analysis is proposed: problem identification, response enumeration, and response evaluation.
  • The paper discusses the application and utility of this systematic analysis.

    • Main Results:

    • The sequential criterion analysis provides a structured framework for examining chronic illness adaptation.
    • This approach facilitates the identification of individuals who would benefit from specific interventions.
    • The model helps in developing targeted intervention strategies and content.
    • It challenges the notion of homogeneity among individuals with chronic illnesses.

    Conclusions:

    • The three-stage sequential criterion analysis offers a valuable heuristic for chronic illness research and clinical practice.
    • This systematic approach enhances the understanding of patient adaptation and supports personalized intervention.
    • It contributes to a more nuanced view of chronic patient populations, moving beyond simplistic homogeneity assumptions.