What question did this study set out to answer?

To evaluate maternal care facilities in Uganda and assess the quality of care provided using statistical methods.

February 23, 2026Open Access

Methodological Evaluation of Maternal Care Facilities Systems in Uganda Using Multilevel Regression Analysis for Clinical Outcome Measurement

Key Points

To evaluate maternal care facilities in Uganda and assess the quality of care provided using statistical methods.
Conducted a systematic search for relevant studies across multiple databases.
Applied multilevel regression models to analyze patient and facility-level data.
Estimated treatment effect using statistical models with confidence interval analysis.
Found significant variability in quality of care across different maternal health care facilities.
Demonstrated the effectiveness of multilevel regression analysis for clinical outcome measurement.
Identified areas for improvement in maternal care systems and the need for targeted interventions.

Abstract

Uganda faces challenges in maternal health care, particularly in the quality of care provided at facilities. A systematic search identified relevant studies from multiple databases. Multilevel regression models were applied to analyse data, accounting for both individual patient characteristics and facility-level factors. Findings suggest that multilevel regression analysis can effectively measure clinical outcomes in maternal care systems but also highlight variability across facilities, necessitating targeted interventions. Multilevel regression analysis is a robust method for evaluating maternal care systems in Uganda, revealing areas needing improvement to meet clinical standards. Facilities should prioritise standardised protocols and continuous quality improvement based on findings from this review. Treatment effect was estimated with logit (pᵢ) =₀+^ Xᵢ, and uncertainty reported using confidence-interval based inference.

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