Quasi-experimental evaluation shows reliability in community health centres, suggesting quality improvement initiatives can enhance healthcare outcomes.
Community health centers (CHCs) in Tanzania are crucial for delivering healthcare services to underserved populations. However, their reliability and effectiveness remain under scrutiny. A mixed-methods approach combining quantitative data from service utilization surveys and qualitative insights from interviews with stakeholders was employed. The reliability assessment utilised Cronbach's alpha (α) to evaluate internal consistency of the survey instruments. Cronbach's alpha for the CHC performance metrics exceeded 0.7, indicating strong internal consistency among the survey items, suggesting reliable measurement across different regions and contexts in Tanzania. The quasi-experimental design successfully captured variations in CHC system reliability across different geographical areas of Tanzania, providing valuable insights into service delivery effectiveness. Policy makers should prioritise continuous quality improvement initiatives to enhance the reliability of CHCs, thereby improving overall healthcare outcomes for local populations. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Sokoiki et al. (2013) studied this question.
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