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Synthetic estimates as an approach to needs assessment: issues and experience.

C G Froland

    NIDA Research Monograph
    |February 1, 1979
    PubMed
    Summary
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    Synthetic estimates provide valuable data on substance abuse program clientele in Oregon. Integrating these estimates with other information sources enhances their utility for program planning and policy development.

    Area of Science:

    • Public Health
    • Health Services Research
    • Substance Abuse Treatment

    Background:

    • Substance abuse programs require accurate data on potential clients for effective planning.
    • Estimating the needs for substance abuse services can be challenging due to data limitations.

    Purpose of the Study:

    • To apply the synthetic estimates technique to determine the characteristics of potential clients for substance abuse programs in Oregon.
    • To provide useful information for state and local program planners and administrators.
    • To examine the application and validity of synthetic estimates in needs assessment.

    Main Methods:

    • Utilized the synthetic estimates technique to derive rates, numbers, types, and characteristics of potential clientele.
    • Described methods for obtaining estimates and assessing their validity.

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  • Presented the experience of applying the study's findings in a program and policy context.
  • Main Results:

    • The study successfully derived estimates for potential substance abuse program clientele in Oregon.
    • Several applications highlighted the diverse ways the study's findings were utilized.
    • Issues concerning validity, accuracy, specificity, and the role of synthetic estimates in needs assessment were identified.

    Conclusions:

    • Synthetic estimates can provide useful information for substance abuse program planning.
    • The effectiveness of synthetic estimates is enhanced when integrated with quantitative and subjective data.
    • Further consideration of validity, accuracy, and specificity is crucial for optimal use of synthetic estimates in needs assessment.