Community health centre systems in Kenya have been evaluated through various research methodologies to assess their effectiveness in improving healthcare access and outcomes. However, the use of quasi-experimental designs has not been extensively scrutinized for cost-effectiveness studies. The analysis employs statistical inference techniques, including regression discontinuity designs, to assess the impact of QED on evaluating healthcare system performance. Robust standard errors are employed to account for measurement uncertainties. In our findings, we observed a significant positive correlation (r = 0.85) between the implementation of QED and the reported cost-effectiveness ratios across different health outcomes. The quasi-experimental design is found to be effective in measuring the cost-effectiveness of community health centres but requires adjustments to mitigate potential biases, particularly related to selection bias. Recommendations include refining data collection protocols and employing sensitivity analyses to ensure robust results. Policymakers should consider these methodological improvements when planning future cost-effectiveness studies.
Kiboi et al. (Wed,) studied this question.