Community health centres in Tanzania are pivotal for delivering healthcare services to underserved populations. However, their effectiveness and efficiency require rigorous evaluation. The research employs a Difference-in-Differences approach, a quasi-experimental design that compares changes within and between treatment groups. Data on service utilization rates and patient outcomes were collected from community health centers in Tanzania using cross-sectional surveys conducted in and. A preliminary analysis indicated an average 15% increase in service utilization among patients who accessed services post-implementation of new health centre protocols. However, variability across regions necessitates further detailed examination. The Difference-in-Differences model provided a robust framework for evaluating the impact of healthcare interventions but highlighted the need for localized data and contextual analysis. Future studies should incorporate additional variables to enhance model accuracy and consider regional disparities in health centre performance. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Sabateri et al. (Sat,) studied this question.