Community health centres (CHCs) in Tanzania play a crucial role in healthcare delivery, yet their effectiveness varies significantly across different regions and contexts. Multilevel regression analysis was employed, incorporating data from two distinct levels: patient-level (utilization rates) and district-level (structural resources). Robust standard errors were used to estimate the uncertainty in model coefficients. Findings indicate a significant improvement in CHC utilization when community engagement initiatives are implemented at the district level, with an increase of 15% in patient visits per month. The multilevel regression analysis confirms the importance of addressing both individual and contextual factors to optimise CHC performance. Efforts should focus on strengthening community participation and enhancing infrastructure support within districts to further enhance healthcare delivery efficiency. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kamasi Mbalayu (Fri,) studied this question.
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