Detecting selection effects in community implementations of family-based substance abuse prevention programs

Area of Science:

• Public Health
• Program Evaluation
• Substance Abuse Prevention

Background:

• Estimating the true costs and benefits of substance abuse prevention programs requires accounting for selection effects.
• Community-based programs often lack supplemental comparison samples, hindering accurate evaluation.
• Existing methods may not adequately address selection bias in real-world program implementations.

Purpose of the Study:

• To present a novel evaluation design and analytic approach for identifying selection effects in substance abuse prevention programs.
• To provide a method applicable to real-world program evaluations where comparison samples are unavailable.
• To improve the accuracy of cost-benefit analyses and inform program recruitment strategies.

Main Methods:

• Development of an evaluation design and analytic strategy to detect selection effects.
• Application of the approach to a multisite implementation of a substance abuse prevention program.
• Statistical analysis to compare program participants with the general population.

Main Results:

• The proposed evaluation design successfully identified significant selection effects.
• Program participants were found to differ significantly from the general population.
• The approach demonstrated utility in refining estimates of program outcomes and cost-benefit.

Conclusions:

• The presented method offers a viable solution for evaluating community-based substance abuse prevention programs without comparison samples.
• Identifying and correcting for selection effects is essential for valid program cost-benefit estimations.
• This approach enhances the understanding of participant characteristics and their influence on program outcomes.