Increasing access to sanitation and hygiene through the community hygiene clubs approach in Rwanda

The national averages for access to safe water supply, improved sanitation and hygiene practice in Rwanda are 74.2%, 74.5% and 34% respectively. The government of Rwanda has established a roadmap, known as the “Community Based Environmental Health Promotion Program”, CBEHPP, which is a model followed by the communities to find solutions to their own problems in the area of safe water, sanitation and hygiene (WASH). The results obtained by World Vision after one year of implementing CBEHPP, reveal full potential of communities to solve their problems with limited assistance. Because of this important progress, World Vision Rwanda (WVR) is investing a lot of efforts in strengthening the Community Hygiene Clubs (CHCs) as well as increasing their skills to respond efficiently to sanitation problems in their villages

Synthesizing postpartum care pathways, facilitators, and barriers for women after cesarean section: a qualitative analysis from rural Rwanda

# Background In low- and middle-income countries (LMICs), c-section is the most commonly performed operation, and surgical site infection (SSI) is the most common post-operative complication following all surgical procedures performed. Whilst multiple interventions have been rolled out to address high SSI rates, strategies for optimal care of patients at risk of developing SSIs need to include an understanding of the general care seeking behaviors, facilitators, and barriers among high-risk groups, including mothers delivering via c-section. This study explores the healthcare experiences of women who delivered by c-section section, from giving birth through recovery, and their associated decision-making, perceptions of care, and social and financial supports. # Methods We conducted protocol-guided interviews in rural Kirehe District, Rwanda with twenty-five mothers who delivered by c-section at Kirehe District Hospital between February-April 2018, exploring their experience with delivery, hospitalization, recovery, and complications. Coded interviews were analyzed using the Grounded Theory approach to identify emergent themes. Thematic saturation was achieved. # Results Overall, women largely followed the tiered referral system, as it was designed. A majority faced financial barriers to returning to care, and a majority were not able to describe the reason for their c-section, the complications experienced, or the treatment prescribed. We constructed a process map to summarize key steps where interventions should be designed to promote facilitators, to reduce barriers, and to identify and target the women being diverted from this designated path. # Conclusions Understanding the existing healthcare pathway and the associated facilitators and barriers among postpartum women is critical to designing appropriate interventions that properly serve their needs. Our findings strongly suggest that moving or complimenting post-operative wound assessments from the health center into home-based care, and ensuring unified messaging around c-section indications, care, and complications at the community-level are two of the areas that may improve utilization of existing healthcare infrastructure for women who deliver by c-section in rural districts in Rwanda

Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol

Introduction: Surgical site infections (SSIs) are a significant cause of morbidity and mortality in low-income and middle-income countries, where rates of SSIs can reach 30%. Due to limited access, there is minimal follow-up postoperatively. Community health workers (CHWs) have not yet been used for surgical patients in most settings. Advancements in telecommunication create an opportunity for mobile health (mHealth) tools to support CHWs. We aim to evaluate the use of mHealth technology to aid CHWs in identification of SSIs and promote referral of patients back to healthcare facilities. Methods and analysis Prospective randomised controlled trial conducted at Kirehe District Hospital, Rwanda, from November 2017 to November 2018. Patients ≥18 years who undergo caesarean section are eligible. Non-residents of Kirehe District or patients who remain in hospital >10 days postoperatively will be excluded. Patients will be randomised to one of three arms. For arm 1, a CHW will visit the patient’s home on postoperative day 10 (±3 days) to administer an SSI screening protocol (fever, pain or purulent drainage) using an electronic tablet. For arm 2, the CHW will administer the screening protocol over the phone. For both arms 1 and 2, the CHW will refer patients who respond ‘yes’ to any of the questions to a health facility. For arm 3, patients will not receive follow-up care. Our primary outcome will be the impact of the mHealth-CHW intervention on the rate of return to care for patients with an SSI. Ethics and dissemination The study has received ethical approval from the Rwandan National Ethics Committee and Partners Healthcare. Results will be disseminated to Kirehe District Hospital, Rwanda Ministry of Health, Rwanda Surgical Society, Partners In Health, through conferences and peer-reviewed publications. Trial registration number NCT03311399

Does community-based health insurance protect women from financial catastrophe after cesarean section? A prospective study from a rural hospital in Rwanda

Background: The implementation of community-based health insurance in (CBHI) in Rwanda has reduced out of pocket (OOP) spending for the > 79% of citizens who enroll in it but the effect for surgical patients is not well described. For all but the poorest citizens who are completely subsidized, the OOP (out of pocket) payment at time of service is 10%. However, 55.5% of the population is below the international poverty line meaning that even this copay can have a significant impact on a family’s financial health. The aim of this study was to estimate the burden of OOP payments for cesarean sections in the context of CBHI and determine if having it reduces catastrophic health expenditure (CHE). Methods: This study is nested in a larger randomized controlled trial of women undergoing cesarean section at a district hospital in Rwanda. Eligible patients were surveyed at discharge to quantify household income and routine monthly expenditures and direct and indirect spending related to the hospitalization. This was used in conjunction with hospital billing records to calculate the rate of catastrophic expenditure by insurance group. Results: About 94% of the 340 women met the World Bank definition of extreme poverty. Of the 330 (97.1%) with any type of health insurance, the majority (n = 310, 91.2%) have CBHI. The average OOP expenditure for a cesarean section and hospitalization was $9.36. The average cost adding transportation to the hospital was$19.29. 164 (48.2%) had to borrow money and 43 (12.7%) had to sell possessions. The hospital bill alone was a CHE for 5.3% of patients. However, when including transportation costs, 15.4% incurred a CHE and including lost wages, 22.6%. Conclusion: To ensure universal health coverage (UHC), essential surgical care must be affordable. Despite enrollment in universal health insurance, cesarean section still impoverishes households in rural Rwanda, the majority of whom already lie below the poverty line. Although CBHI protects against CHE from the cost of healthcare, when adding in the cost of transportation, lost wages and caregivers, cesarean section is still often a catastrophic financial event. Further innovation in financial risk protection is needed to provide equitable UHC

Validating the Global Surgery Geographical Accessibility Indicator : Differences in Modeled Versus Patient-Reported Travel Times

Background: Since long travel times to reach health facilities are associated with worse outcomes, geographic accessibility is one of the six core global surgery indicators; this corresponds to the second of the “Three Delays Framework,” namely “delay in reaching a health facility.” Most attempts to estimate this indicator have been based on geographical information systems (GIS) algorithms. The aim of our study was to compare GIS derived estimates to self-reported travel times for patients traveling to a district hospital in rural Rwanda for emergency obstetric care. Methods: Our study includes 664 women who traveled to undergo a Cesarean delivery in Kirehe, Rwanda. We compared self-reported travel time from home to the hospital (excluding waiting time) with GIS estimated travel times, which were computed using the World Health Organization tool AccessMod, using linear regression. Results: The majority of patients used multiple modes of transportation (walking = 48.5%, public transport = 74.2%, private transport = 2.9%, and ambulance 70.6%). Self-reported times were longer than GIS estimates by a factor of 1.49 (95% CI 1.40–1.57). Concordance was higher when the GIS model took into account that all patients in Rwanda are referred via their health center (β = 1.12; 95% CI 1.05–1.18). Conclusions: To our knowledge, in this largest to date GIS validation study for geographical access to healthcare in low- and middle-income countries, a standard GIS model was found to significantly underestimate real travel time, which likely is in part because it does not model the actual route patients are travelling. Therefore, previous studies of 2-h access to surgery will need to be interpreted with caution, and future studies should take local travelling conditions into account

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.Funding Agencies|National Institutes of Health [NIH R21TW011229]; Partners In Health-Rwanda</p

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\u27 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

Non-Obstetric Surgical Care at Three Rural District Hospitals in Rwanda: More Human Capacity and Surgical Equipment May Increase Operative Care

Background: Most mortality attributable to surgical emergencies occurs in low- and middle-income countries. District hospitals, which serve as the first-level surgical facility in rural sub-Saharan Africa, are often challenged with limited surgical capacity. This study describes the presentation, management, and outcomes of non-obstetric surgical patients at district hospitals in Rwanda. Methods: This study included patients seeking non-obstetric surgical care at three district hospitals in rural Rwanda in 2013. Demographics, surgical conditions, patient care, and outcomes are described; operative and non-operative management were stratified by hospitals and differences assessed using Fisher’s exact test. Results: Of the 2660 patients who sought surgical care at the three hospitals, most were males (60.7 %). Many (42.6 %) were injured and 34.7 % of injuries were through road traffic crashes. Of presenting patients, 25.3 % had an operation, with patients presenting to Butaro District Hospital significantly more likely to receive surgery (57.0 %, p < 0.001). General practitioners performed nearly all operations at Kirehe and Rwinkwavu District Hospitals (98.0 and 100.0 %, respectively), but surgeons performed 90.6 % of the operations at Butaro District Hospital. For outcomes, 39.5 % of all patients were discharged without an operation, 21.1 % received surgery and were discharged, and 21.1 % were referred to tertiary facilities for surgical care. Conclusion: Significantly more patients in Butaro, the only site with a surgeon on staff and stronger surgical infrastructure, received surgery. Availing more surgeons who can address the most common surgical needs and improving supplies and equipment may improve outcomes at other districts. Surgical task sharing is recommended as a temporary solution

The Effect and Feasibility of mHealth-Supported Surgical Site Infection Diagnosis by Community Health Workers After Cesarean Section in Rural Rwanda: Randomized Controlled Trial

BackgroundThe development of a surgical site infection (SSI) after cesarean section (c-section) is a significant cause of morbidity and mortality in low- and middle-income countries, including Rwanda. Rwanda relies on a robust community health worker (CHW)–led, home-based paradigm for delivering follow-up care for women after childbirth. However, this program does not currently include postoperative care for women after c-section, such as SSI screenings. ObjectiveThis trial assesses whether CHW’s use of a mobile health (mHealth)–facilitated checklist administered in person or via phone call improved rates of return to care among women who develop an SSI following c-section at a rural Rwandan district hospital. A secondary objective was to assess the feasibility of implementing the CHW-led mHealth intervention in this rural district. MethodsA total of 1025 women aged ≥18 years who underwent a c-section between November 2017 and September 2018 at Kirehe District Hospital were randomized into the three following postoperative care arms: (1) home visit intervention (n=335, 32.7%), (2) phone call intervention (n=334, 32.6%), and (3) standard of care (n=356, 34.7%). A CHW-led, mHealth-supported SSI diagnostic protocol was delivered in the two intervention arms, while patients in the standard of care arm were instructed to adhere to routine health center follow-up. We assessed intervention completion in each intervention arm and used logistic regression to assess the odds of returning to care. ResultsThe majority of women in Arm 1 (n=295, 88.1%) and Arm 2 (n=226, 67.7%) returned to care and were assessed for an SSI at their local health clinic. There were no significant differences in the rates of returning to clinic within 30 days (P=.21), with high rates found consistently across all three arms (Arm 1: 99.7%, Arm 2: 98.4%, and Arm 3: 99.7%, respectively). ConclusionsHome-based post–c-section follow-up is feasible in rural Africa when performed by mHealth-supported CHWs. In this study, we found no difference in return to care rates between the intervention arms and standard of care. However, given our previous study findings describing the significant patient-incurred financial burden posed by traveling to a health center, we believe this intervention has the potential to reduce this burden by limiting patient travel to the health center when an SSI is ruled out at home. Further studies are needed (1) to determine the acceptability of this intervention by CHWs and patients as a new standard of care after c-section and (2) to assess whether an app supplementing the mHealth screening checklist with image-based machine learning could improve CHW diagnostic accuracy. Trial RegistrationClinicalTrials.gov NCT03311399; https://clinicaltrials.gov/ct2/show/NCT0331139