Cross-sectional survey evaluates mobile health clinics' effectiveness in identifying malaria in rural populations, suggesting better access to healthcare.
Mobile health clinics have been introduced to improve healthcare access in remote areas of Sudanese villages. A cross-sectional survey was conducted among villagers, collecting data on clinic visits, malaria symptoms, and diagnostic outcomes. Data were analysed using logistic regression models. Mobile health clinics reported a success rate of 85% in identifying malaria cases (95% CI: 72-93%). The findings suggest that mobile health clinics are effective tools for early detection and reporting of malaria, particularly among rural populations. Further research should focus on evaluating the long-term sustainability and cost-effectiveness of these clinics in similar settings. Treatment effect was estimated with logit(pᵢ)=β₀+β^ Xᵢ, and uncertainty reported using confidence-interval based inference.
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Fernando Mendes (2006) studied this question.
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