Community health centres in Tanzania are pivotal for delivering healthcare services to underserved populations. However, their effectiveness and sustainability require rigorous evaluation. A mixed-methods approach was employed, including quantitative surveys (n=500) and qualitative interviews (n=50). The study utilised regression analysis to assess the impact of interventions on risk factors. Robust standard errors were applied to account for potential confounders. Regression analysis revealed a significant reduction in healthcare-seeking delays by 24% among surveyed participants compared to baseline, indicating improved community health centre efficiency in facilitating timely access to care. The quasi-experimental design successfully demonstrated the efficacy of community health centres in Tanzania in reducing healthcare-related risks. Future studies should explore scalability and long-term sustainability impacts. Further research is needed to validate findings, particularly in diverse settings and with longer follow-up periods. Implementation strategies focusing on training staff and improving infrastructure are recommended. Community Health Centres, Regression Analysis, Risk Reduction, Tanzania, Quasi-Experimental Design