mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.
Theoneste NkurunzizaWendy WilliamsFredrick KateeraRobert RivielloAnne NiyigenaElizabeth MirandaLaban BikorimanaJonathan NkurunzizaLotta VelinAndrea S GoodmanAlex MatousekStefanie J KlugErick GajuBethany L Hedt-GauthierPublished in: BMJ global health (2022)
Implementation of an mHealth-CHW home-based intervention in rural Rwanda and similar settings is feasible. Patients' acceptance of the intervention was key to its success. The telemedicine-based SSI diagnosis had a high negative predictive value but a low sensitivity. Further studies must explore strategies to improve accuracy, such as accompanying wound images with clinical data or developing algorithms using machine learning.
Keyphrases
- surgical site infection
- randomized controlled trial
- south africa
- deep learning
- ejection fraction
- newly diagnosed
- machine learning
- primary care
- prognostic factors
- polycystic ovary syndrome
- electronic health record
- optical coherence tomography
- type diabetes
- quality improvement
- metabolic syndrome
- big data
- insulin resistance