The healthcare system in Tanzania is challenged by resource limitations, particularly at district hospitals where service delivery often suffers from inefficiencies and poor quality. A mixed-methods approach was employed, including quantitative data collection through surveys and qualitative insights via interviews. Statistical models were used to analyse data and identify areas for improvement. The analysis revealed that approximately 20% of district hospitals experienced delays in critical patient care procedures, which could be attributed to insufficient staffing and equipment issues. This study highlights the need for targeted interventions such as improved training programmes and procurement of essential medical supplies to enhance system performance. District health authorities should prioritise investment in human resources and infrastructure to mitigate risks associated with delayed care delivery. Quasi-experimental design, district hospitals, healthcare quality, risk reduction Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Kamali Mbita (Mon,) studied this question.