Emergency care units (ECUs) in Nigeria are critical for patient management during acute events. However, their effectiveness and efficiency vary significantly across different regions. A comprehensive search strategy was employed, including electronic databases and grey literature. Studies were selected based on predefined inclusion criteria, focusing on quantitative evaluation methods for clinical outcomes. The analysis revealed that the use of difference-in-differences model improved the assessment of ECU performance by accounting for potential confounders. A notable trend indicated a 20% improvement in patient survival rates attributed to standardised care protocols implemented in ECUs. This review underscores the importance of robust methodological approaches, particularly the difference-in-differences model, in evaluating ECU effectiveness and suggests further research with longitudinal data. Researchers should prioritise using validated statistical models like difference-in-differences to enhance the reliability of their findings. Policy makers are advised to implement standardised care protocols based on evidence from this review. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.
Ibrahim et al. (Wed,) studied this question.
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