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Related Experiment Videos

Alcoholism treatment demand estimation.

J J Ingram

    Health Marketing Quarterly
    |December 11, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Accurately assessing alcoholism treatment needs requires focusing on actual need, not just service demand. This study proposes a framework to classify different assessment models for better resource allocation.

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    Area of Science:

    • Public Health
    • Health Services Research
    • Addiction Medicine

    Background:

    • Effective allocation of alcoholism treatment resources is crucial.
    • Current methods often rely on service utilization (demand), which overlooks individuals not accessing care.
    • A shift towards need-based assessment is preferred for accurate resource planning.

    Purpose of the Study:

    • To differentiate between need and demand assessment models for alcoholism treatment.
    • To propose a framework for classifying various alcoholism treatment assessment models.
    • To guide more accurate determination of alcoholism treatment needs.

    Main Methods:

    • Differentiating between demand and need assessment models.
    • Classifying need assessment models into four subgroups: survey-based, mortality-based, treatment and mortality-based, and multi-factor statistical models.

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  • Classifying demand-based models into simple utilization and utilization with demographic models.

    • Main Results:

    • A clear distinction is made between need and demand for alcoholism treatment.
    • A hierarchical framework is presented for understanding and categorizing different assessment approaches.
    • The proposed framework aids in evaluating the suitability of various models for resource allocation.

    Conclusions:

    • Need assessment, rather than demand measurement, is essential for effective alcoholism treatment resource allocation.
    • The proposed classification framework simplifies the understanding of diverse assessment methodologies.
    • Implementing a need-based approach ensures that underserved populations are considered in treatment planning.