Multilevel regression analysis reveals training investment improves patient outcomes in Senegal's district hospitals, highlighting funding needs.
District hospitals in Senegal face challenges in ensuring cost-effectiveness, necessitating a methodological evaluation to identify best practices and optimise resource allocation. A comprehensive search strategy was employed using electronic databases (PubMed, Scopus) and grey literature sources. Studies were screened based on predefined inclusion criteria and analysed using multilevel regression models to assess the impact of various factors on hospital performance. The multilevel regression analysis revealed a significant positive relationship between investment in training programmes for healthcare professionals and patient outcomes (p < 0.05). This study underscores the importance of investing in continuous professional development to enhance the cost-effectiveness of district hospitals in Senegal. Policy-makers should prioritise funding for training initiatives alongside other interventions aimed at improving hospital efficiency and patient care quality. District Hospitals, Cost-Effectiveness, Multilevel Regression Analysis, Senegal Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Wade et al. (2000) studied this question.
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