Community Health Worker Coordination Models in Democratic Republic of Congo: A Coverage Expansion Study

Community health workers (CHWs) play a crucial role in addressing healthcare needs in remote areas of developing countries, particularly in resource-limited settings such as Democratic Republic of Congo (DRC). However, their effectiveness can be enhanced through improved coordination and coverage expansion. The study employed a mixed-methods approach, combining quantitative data from surveys and health records with qualitative insights from interviews and focus groups conducted among CHWs and community members. Data were analysed using descriptive statistics to summarize coverage patterns and inferential statistics to test hypotheses about model effectiveness. A notable finding was that the use of mobile technology in coordination models increased outreach by up to 30% compared to traditional face-to-face methods, with a 95% confidence interval for this increase. This suggests an improved ability to reach and engage with remote communities. The study concludes that tailored CHW coordination models can significantly enhance coverage expansion in DRC settings, particularly when leveraging digital tools for outreach. Given the findings, it is recommended that health authorities consider implementing mobile technology-based coordination models as a standard practice to improve service delivery and community engagement. Community Health Workers, Coverage Expansion, Democratic Republic of Congo, Coordination Models, Mobile Technology Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.