Water treatment facilities in Rwanda face challenges related to system reliability due to varying levels of investment and maintenance. A DID model was employed to analyse pre- and post-intervention data from selected water treatment plants. The analysis accounted for potential confounders such as socio-economic indicators and geographical variations. The application of the DID model revealed significant improvements in system reliability following intervention periods, with a proportion increase of 25% in operational efficiency across treated facilities. The results suggest that targeted interventions can enhance water treatment facility performance, though variability remains due to local conditions and resource allocation challenges. Investment strategies should prioritise facilities with lower initial reliability scores, alongside continuous monitoring for sustained improvements. Water Treatment Facilities, Difference-in-Differences Model, System Reliability, Rwanda The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Karegera et al. (Sun,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: