African Veterinary Surgery | 05 April 2001
Enhancing Early Detection Rates in Community-Based Child Health Surveillance Through Remote Monitoring Technologies: A One-Year Evaluation in Southern Nigeria
C, h, i, n, e, d, u, O, k, o, c, h, a
Abstract
Community-based child health surveillance programmes are essential for early detection of health issues in children. Remote monitoring technologies offer a promising solution to enhance these surveillance efforts. Remote monitoring devices were deployed to track vital signs and developmental milestones. Data was collected bi-weekly from randomly selected communities, analysed using logistic regression models with robust standard errors. Early detection rate improved by 20% compared to baseline data, indicating a significant increase in timely interventions for health issues. Remote monitoring technologies show promise in enhancing early detection rates in child health surveillance programmes. Further studies should investigate scalability and cost-effectiveness of these technologies across different regions. Child Health Surveillance, Remote Monitoring, Early Detection, Logistic Regression 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.