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Adolescent pregnancy-prevention program. A model for research and evaluation.

L S Zabin, M B Hirsch, E A Smith

    Journal of Adolescent Health Care : Official Publication of the Society for Adolescent Medicine
    |March 1, 1986
    PubMed
    Summary
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    This study introduces a model for evaluating adolescent pregnancy prevention programs by integrating research into program design. It highlights using clinic and survey data to assess changes in sexual knowledge, attitudes, and behaviors.

    Area of Science:

    • Public Health
    • Adolescent Health
    • Program Evaluation

    Background:

    • Most adolescent pregnancy-prevention programs lack rigorous evaluation designs and essential data.
    • Effective interventions require integrated research methodologies for accurate assessment.
    • Evaluating program impact on sexual knowledge, attitudes, and behaviors is crucial.

    Purpose of the Study:

    • To describe a model for incorporating evaluative research into adolescent pregnancy-prevention program design.
    • To demonstrate how clinic and survey data can be combined to assess program effects.
    • To explore the evaluation and timing of changes in sexual knowledge, attitudes, and behaviors.

    Main Methods:

    • Describing a model for integrated evaluative research in program design.

    Related Experiment Videos

  • Utilizing clinic data and aggregate data from three self-administered student surveys.
  • Analyzing changes in sexual knowledge, attitudes, and behaviors (coital, contraceptive, clinic).

    • Main Results:

    • Demonstrates the augmentation of clinic and survey data for assessing program effects.
    • Explores the timing and evaluation of changes in sexual knowledge, attitudes, and behaviors.
    • Provides insights into quantifying and interpreting variables for program assessment.

    Conclusions:

    • The proposed model facilitates the design of measurable and replicable adolescent pregnancy-prevention interventions.
    • Integrated evaluative research is essential for understanding program effectiveness.
    • Combining diverse data sources enhances the assessment of behavioral and attitudinal changes.