This study addresses the reliability assessment of district hospitals in South Africa, focusing on methodological improvements to enhance system performance evaluation. Panel-data estimation techniques were employed, utilising a mixed-effects regression model to analyse longitudinal hospital data from multiple districts. Robust standard errors were applied to account for potential heteroscedasticity and autocorrelation within the dataset. A significant proportion (35%) of hospitals exhibited system reliability issues across different regions, with varying degrees of performance variability over time. The mixed-effects regression model successfully identified systemic inefficiencies, providing a foundation for targeted interventions to improve hospital operations and patient care outcomes. District health authorities are encouraged to implement data-driven strategies based on the findings, focusing on resource allocation and quality improvement initiatives. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Mkhize et al. (2004) studied this question.