African Medical Laboratory Immunology | 13 October 2000
Multilevel Regression Analysis to Evaluate Adoption Rates of Community Health Centre Systems in Senegal: An Assessment from an African Perspective
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Abstract
Community health centres (CHCs) in Senegal have been established to improve access to healthcare services, particularly in rural and underserved areas. However, adoption rates of these systems vary widely across different regions. A multilevel regression analysis was employed to explore the impact of various predictors on CHC adoption rates at both the district (administrative unit) and individual centre levels. Data were sourced from Senegalese health records, collected over a five-year period. The multilevel model revealed significant differences in CHC adoption rates across districts, with urban areas exhibiting higher adoption compared to rural regions. Factors such as socioeconomic status and infrastructure availability significantly influenced the likelihood of CHC implementation at both levels. This study provides a robust framework for understanding the factors affecting CHC adoption in Senegal, offering insights that can guide policy interventions aimed at improving healthcare access. Policy-makers should prioritise investments in rural areas and infrastructure development to enhance the effectiveness of CHCs. Additionally, targeted training programmes for health workers are recommended to maximise service delivery within these facilities. Community Health Centres, Senegal, Multilevel Regression Analysis, Adoption Rates Treatment effect was estimated with $\text{logit}(p<em>i)=\beta</em>0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.