"background": "Community health centres are a cornerstone of primary healthcare in South Africa, yet robust quantitative evidence of their impact on population-level health risks is limited. Existing evaluations often lack rigorous counterfactual frameworks, making causal attribution challenging. ", "purpose and objectives": "This study aimed to quantify the causal effect of a national community health centre expansion programme on key health risk factors, specifically hypertension prevalence and smoking rates, using a quasi-experimental design. ", "methodology": "We employed a difference-in-differences model, exploiting the phased rollout of centres across municipalities. The core specification was Y{it = \ + \ (Treati \ Postt) + \ + \ +, where Y₈ₓ is the outcome in municipality i at time t. Treatment effects were estimated using two-way fixed effects with cluster-robust standard errors at the municipal level. Data came from a panel of national household surveys and health facility registries. ", "findings": "The intervention was associated with a statistically significant 4. 2 percentage point reduction in uncontrolled hypertension prevalence (95% CI: -6. 1, -2. 3). No significant effect was observed on smoking rates. The parallel trends assumption was validated using placebo tests in pre-intervention periods. ", "conclusion": "The expansion of community health centres effectively reduced a major cardiovascular risk factor in treated communities. The null finding for smoking suggests behavioural risks may require more targeted, complementary interventions beyond facility-based care. ", "recommendations": "Policy should sustain investment in primary care infrastructure for non-communicable disease management. Programme design must integrate specific behavioural change components to address lifestyle risks. Future evaluations should adopt similar causal inference methods for health systems research. ", "key words": "difference-in-differences, quasi-experimental, primary healthcare, hypertension, health systems evaluation, causal inference", "contribution statement": "This paper provides a novel application of a robust difference-in-differences framework to
Thandiwe Nkosi (Thu,) studied this question.