African Neurosurgery Journal

Advancing Scholarship Across the Continent

Vol. 2006 No. 1 (2006)

View Issue TOC

Methodological Assessment of District Hospitals Systems in Tanzania Using Quasi-Experimental Design to Gauge System Reliability

Simba Mwita, Department of Surgery, Ardhi University, Dar es Salaam Waweru Kibua, Department of Pediatrics, Catholic University of Health and Allied Sciences (CUHAS) Kamasi Sitianguka, Mkwawa University College of Education
DOI: 10.5281/zenodo.18822326
Published: May 20, 2006

Abstract

District hospitals in Tanzania play a crucial role in healthcare delivery but face challenges in maintaining consistent service quality. A mixed-methods approach combining quantitative data analysis with qualitative interviews was employed to assess the operational efficiency and reliability of district hospitals in Tanzania. The study used a difference-in-differences (DID) regression model to measure changes over time. Data revealed significant variability in service delivery, with an average improvement rate of 15% in critical healthcare services post-intervention compared to baseline. The quasi-experimental design effectively highlighted areas needing attention, such as staff training and resource allocation, leading to improved system reliability. Implementing targeted interventions based on the findings is recommended for enhancing district hospital systems in Tanzania. District hospitals, reliability assessment, quasie-xperimental design, healthcare delivery Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.

How to Cite

Simba Mwita, Waweru Kibua, Kamasi Sitianguka (2006). Methodological Assessment of District Hospitals Systems in Tanzania Using Quasi-Experimental Design to Gauge System Reliability. African Neurosurgery Journal, Vol. 2006 No. 1 (2006). https://doi.org/10.5281/zenodo.18822326

Keywords

Sub-Saharanhealthcare systemsevaluation methodologiesquasi-experimental designservice deliveryreliability analysisgeographical diffusion

References