Methodological Evaluation of Quasi-Experimental Designs in Ethiopian District Hospitals Systems

Quasi-experimental designs are increasingly used in healthcare research to evaluate interventions without randomization. In Ethiopia’s district hospitals, these designs can help assess yield improvement initiatives. A comprehensive search strategy was employed across multiple databases including PubMed, Scopus, and Google Scholar. Studies were selected based on predefined criteria for inclusion and exclusion, ensuring a robust sample of quasi-experimental designs focusing on yield improvement initiatives in Ethiopian district hospitals. The analysis identified a consistent trend towards the use of pre-post design with control groups to measure yield improvements. However, methodological weaknesses such as varying baseline comparability across studies were noted. This review highlights the need for standardization in quasi-experimental designs within Ethiopian district hospitals to enhance internal and external validity. Future research should advocate for standardised pre-post design with control groups and robust statistical methods to ensure reliable yield improvement measurements. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.