Evaluation of the Making Proud Choices! Teen Pregnancy Prevention Program
Evaluation of the Making Proud Choices! Teen Pregnancy Prevention Program
Under contract to the Office of Population Affairs (OPA), Mathematica is conducting an impact study of the Making Proud Choices! (MPC) teen pregnancy prevention program. The impact study is designed to estimate the impact of MPC, compared to the business-as-usual condition, on risk and protective factors, sexual behaviors, and longer term health goals including pregnancy and sexually transmitted infections.
This evaluation used a cluster randomized controlled trial (RCT) design to assess the effectiveness of MPC, with schools within districts randomly assigned to one of two conditions: (1) MPC implemented by health educators, or (2) business as usual. In total, 31 school clusters were randomly assigned to condition, including roughly 2800 students, in four geographic areas across the U.S.
The study was implemented over the course of three school years (2016-17, 2017-18 and 2018-19), with youth in each year considered a separate evaluation cohort, and with participating schools (and new cohorts of eligible youth) randomized to condition each year.
There are two main sources of data for this study: outcome and implementation data. Youth in the study completed two waves of self-report surveys: (1) a baseline survey administered before programming began, and (2) a follow-up outcome survey administered approximately six months after the end of programming (approximately 9 months after baseline, on average). The surveys measured antecedents to sexual behavior (risk and protective factors), sexual behaviors, and ultimately, MPC's health goals of reducing sexually transmitted infections and teen pregnancies. Program implementation data included fidelity and attendance logs, observations, interviews, study youth focus groups, staff surveys, and technical assistance logs.
The benchmark analytic approach for estimating program impacts focuses on individuals with observed (non-missing) outcome data, and will statistically adjust for several baseline and location variables to produce credible and precise estimates of program effectiveness. Several sensitivity analyses will be conducted to understand the robustness of the findings across alternative specifications, and to understand the effect of MPC across a variety of subgroups.
Inclusion Criteria:
Exclusion Criteria: