mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.

BACKGROUND: Surgical site infections (SSIs) cause a significant global public health burden in low and middle-income countries. Most SSIs develop after patient discharge and may go undetected. We assessed the feasibility and diagnostic accuracy of an mHealth-community health worker (CHW) home-based telemedicine intervention to diagnose SSIs in women who delivered via caesarean section in rural Rwanda. METHODS: This prospective cohort study included women who underwent a caesarean section at Kirehe District Hospital between September 2019 and March 2020. At postoperative day 10 (±3 days), a trained CHW visited the woman at home, provided wound care and transmitted a photo of the wound to a remote general practitioner (GP) via WhatsApp. The GP reviewed the photo and made an SSI diagnosis. The next day, the woman returned to the hospital for physical examination by an independent GP, whose SSI diagnosis was considered the gold standard for our analysis. We describe the intervention process indicators and report the sensitivity and specificity of the telemedicine-based diagnosis. RESULTS: Of 787 women included in the study, 91.4% (n=719) were located at their home by the CHW and all of them (n=719, 100%) accepted the intervention. The full intervention was completed, including receipt of GP telemedicine diagnosis within 1 hour, for 79.0% (n=623). The GPs diagnosed 30 SSIs (4.2%) through telemedicine and 38 SSIs (5.4%) through physical examination. The telemedicine sensitivity was 36.8% and specificity was 97.6%. The negative predictive value was 96.4%. CONCLUSIONS: 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.

Harvard Medical School Department of Global Health and Social Medicine COVID-19 seminar series: COVID and surgical, anesthetic and obstetric care.

On May 21, 2020, the Harvard Program in Global Surgery and Social Change (PGSSC) hosted a webinar as part of the Harvard Medical School Department of Global Health and Social Medicine's COVID-19 webinar series. The goal of PGSSC's virtual webinar was to share the experiences of surgical, anesthesia, and obstetric (SAO) providers on the frontlines of the COVID pandemic, from both high-income countries (HICs), such as the United States and the United Kingdom, as well as low- and middle-income countries (LMICs). Providers shared not only their experiences delivering SAO care during this global pandemic, but also solutions and innovations they and their colleagues developed to address these new challenges. Additionally, the seminar explored the relationship between surgery and health system strengthening and pandemic preparedness, and outlined the way forward, including a roadmap for prioritization and investment in surgical system strengthening. Throughout the discussion, other themes emerged as well, such as the definition of elective surgery and its implications during a persistent global pandemic, the safe and ethical reintroduction of surgical services, and the social inequities exposed by the stress placed on health systems by COVID-19. These proceedings document the perspectives shared by participants through their invited lectures as well as through the panel discussion at the end of the seminar.