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Secondary preventive health behavior

J R Wheeler, T G Rundall

    Health Education Quarterly
    |January 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    Many factors influence secondary preventive healthcare use. Physician service utilization is directly impacted by care accessibility, health status, beliefs, and sex, with indirect effects from education and age.

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    Area of Science:

    • Health Services Research
    • Preventive Medicine
    • Health Behavior Models

    Background:

    • Secondary preventive health behavior is crucial for maintaining health.
    • Understanding the determinants of preventive care utilization is essential for public health.
    • Existing models may not fully capture the complex interplay of factors influencing service use.

    Purpose of the Study:

    • To construct and test a comprehensive model of secondary preventive health behavior.
    • To identify direct and indirect influences on the utilization of physician services for preventive care.
    • To examine the interrelationships among health beliefs, health status, care accessibility, sociodemographics, and service use.

    Main Methods:

    • Path analysis was employed to test the proposed model.

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  • Data were collected from a household survey of adult residents in Washtenaw County, Michigan.
  • The study analyzed the relationships between multiple variables influencing preventive healthcare utilization.

    • Main Results:

    • Multiple factors significantly influence secondary preventive utilization, both directly and indirectly.
    • Care accessibility, health status, health beliefs, and sex demonstrated direct effects on service use.
    • Education and age exhibited indirect influences, while income's indirect effects on use were found to cancel each other out.

    Conclusions:

    • A multifactorial approach is necessary to understand and promote secondary preventive health behavior.
    • Interventions should consider direct influences like accessibility and health beliefs, alongside indirect factors such as education and age.
    • The developed model provides a framework for future research and policy development in preventive healthcare.