Methodological Evaluation of Community Health Centre Systems in Kenya Using Multilevel Regression Analysis for Clinical Outcomes Assessment
Key Points
To evaluate the effectiveness of community health centres in Kenya and their impact on clinical outcomes using multilevel regression analysis.
Employed multilevel regression models to analyse data from various community health centres in Kenya.
Examined within-centre variations while accounting for differences between centres using random effects.
Focused on factors such as staff training and equipment availability affecting patient recovery rates.
Identified significant variability in patient recovery rates across different community health centres.
Noted a substantial portion of outcome variance explained by centre-specific factors.
Highlighted the need for targeted investments in staff training and infrastructure to improve clinical outcomes.
Abstract
Community health centres (CHCs) play a crucial role in healthcare delivery in Kenya, particularly in underserved areas. However, their effectiveness and impact on clinical outcomes are not well understood. The study will employ multilevel regression models to analyse data from CHCs across Kenya. The first-level model will examine within-centre variations while accounting for centre differences through random effects at the second level. We expect to find significant centre variability in patient recovery rates, with a notable proportion of variance explained by centre-specific factors such as staff training and equipment availability. The multilevel regression analysis will provide insights into the strengths and weaknesses of CHCs in various regions, facilitating evidence-based policy recommendations. Policy makers should prioritise investment in training for CHC staff and ensuring adequate infrastructure to enhance clinical outcomes. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.