African Industrial Engineering | 19 July 2001
Biomedical Engineering Innovations in Diagnostic Devices for Resource-Limited Settings in Equatorial Guinea
F, e, l, i, c, i, a, N, d, o, n, g, b, i, y, o, ,, E, m, i, l, i, o, M, b, a, e, b, i, w, a
Abstract
This study examines biomedical engineering innovations in diagnostic devices for resource-limited settings in Equatorial Guinea. A mixed-methods approach was employed, combining quantitative data on diagnostic accuracy and qualitative feedback from end-users. Diagnostic devices demonstrated an average accuracy rate of 95% with a 3% confidence interval for error detection in resource-limited conditions. This innovative approach to diagnostic device design shows promise for improving healthcare accessibility in underserved regions. Further studies should explore cost-effectiveness and scalability before full-scale implementation. The maintenance outcome was modelled as $Y<em>{it}=\beta</em>0+\beta<em>1X</em>{it}+u<em>i+\varepsilon</em>{it}$, with robustness checked using heteroskedasticity-consistent errors.