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Sampling for evaluation. Issues and strategies for community-based HIV prevention programs.

A A O'Connell1

  • 1University of Connecticut, USA.

Evaluation & the Health Professions
|August 18, 2000
PubMed
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Responsible sampling methods are crucial for evaluating community-based HIV prevention programs. This guide helps community-based organizations (CBOs) select appropriate sampling designs for accurate behavior change estimates.

Area of Science:

  • Public Health
  • Epidemiology
  • Community Health

Background:

  • Evaluating community-based HIV prevention initiatives relies heavily on sound sampling procedures.
  • Accurate sampling ensures reliable estimates of population behavior change.
  • Community-based organizations (CBOs) require guidance on effective sampling strategies.

Purpose of the Study:

  • To provide an overview of sampling methods tailored for community-based organizations (CBOs) involved in HIV prevention.
  • To enhance the capacity of CBOs in sampling and program evaluation.
  • To facilitate more rigorous comparisons across CBOs for collective insights into HIV prevention effectiveness.

Main Methods:

  • Review of various probability and non-probability sampling designs.

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  • Discussion of critical factors in design selection: bias, cost, and feasibility.
  • Presentation of six practical guidelines for CBOs regarding sampling in program evaluations.

    • Main Results:

    • Sampling procedures directly impact the validity of population models and behavior change estimates in HIV prevention.
    • Understanding different sampling designs (probability and non-probability) is essential for CBOs.
    • Considering bias, cost, and feasibility aids in selecting appropriate sampling strategies.

    Conclusions:

    • Effective sampling is fundamental for robust evaluation of community-based HIV prevention initiatives.
    • Adopting recommended sampling guidelines can improve the rigor and comparability of CBO evaluations.
    • Enhanced sampling capacity within CBOs leads to more reliable data on HIV prevention effectiveness.