LAUSR

Community Healthy Start program evaluations are often limited by a lack of robust data and rigorous study designs. This study describes an enhanced methodological approach using local program data linked with existing population-level datasets for external comparison to evaluate the Enterprise Community Healthy Start (ECHS) program in two rural Georgia counties and presents results from the evaluation. ECHS program data were linked to birth records and the Pregnancy Risk Assessment Monitoring System (PRAMS) for 869 women who delivered a live birth in Burke and McDuffie counties from 2010 to 2011. Multivariate logistic regressions with and without propensity score methods modeled the association between ECHS participation and maternal health indicators and pregnancy outcomes. 107 ECHS participants and 726 non-participants responded to PRAMS and met eligibility criteria. Compared with non-participants, ECHS participants were younger, completed fewer years of education, and were more likely to be non-Hispanic Black, unmarried, insured with Medicaid, participating in WIC, and having an unintended pregnancy. Models with and without propensity score weighting derived similar results: there was a positive association between ECHS participation and receiving adequate or adequate plus prenatal care (p < 0.05); no statistically significant associations were observed between ECHS participation and any other health behaviors, health care access and utilization measures or pregnancy outcomes. Rigorous evaluation of a local Healthy Start program using linked PRAMS and birth records with a population-based external comparison group and propensity score methods is an enhanced and feasible approach that can be applied in other local and state jurisdictions.