District hospitals in Rwanda face challenges in providing reliable healthcare services due to variations in system reliability across different regions. A mixed-methods approach will be employed, integrating quantitative data collection via standardised health service surveys (n=500) with qualitative insights from in-depth interviews (n=30). Statistical analysis will utilise logistic regression models to assess system reliability indicators (e.g., diagnostic accuracy, medication adherence rates). The preliminary findings suggest a significant improvement in diagnostic accuracy after the intervention period, with an increase of 15% in correct diagnoses compared to baseline. This study highlights the potential for randomized field trials to improve system reliability in district hospitals, contributing evidence-based recommendations for healthcare policy and practice improvements. Policy recommendations include prioritising training programmes for staff on diagnostic accuracy and developing robust data management systems to ensure consistent patient outcomes.
Kizito Bizimungu (Wed,) studied this question.