Knowledge and practices surrounding outbreaks and COVID-19 among community health workers in rural Rwanda: a cross-sectional mixed-methods study.

Introduction: Community Health Workers (CHW) are a critical resource for outbreak preparedness and response. However, CHWs´ ability to respond to outbreaks depends on their accurate knowledge of the disease and proper adoption of disease prevention practices. We explored knowledge and practices related to outbreaks in general, and COVID-19 among CHWs in Rwanda. Methods: this cross-sectional multimethod study used stratified simple random sampling to recruit three cadres of CHWs (agents de santé maternelle, female Binomes, and male Binomes) from three rural Rwandan districts. We used telephone-based data collection to administer quantitative surveys (N=292) and qualitative interviews (N=24) in September 2020. We calculated descriptive statistics and conducted thematic analysis of qualitative data. We assessed for associations between general outbreak-related knowledge and receipt of training using Chi-square tests and between COVID-19 related knowledge and CHW characteristics and adoption of prevention methods using linear regression models. Results: only 56.2% of CHWs had received training on any health topic in 12 months prior to COVID-19 pandemic and only 19.2% had specifically received training on outbreak preparedness. Almost all CHWs reported preventing COVID-19 by wearing facemasks (98%), washing hands (95%), and social distancing in crowds (89%) with fewer reporting staying at home (50%), sneezing or coughing into an elbow (38%) or using hand sanitizer (18%). Almost all CHWs in our study knew that COVID-19 transmits through respiratory droplets (98%) and by infected surfaces (98%) and that asymptomatic spread is possible (91%). However, fewer than half of community health workers correctly affirmed that children were at low risk of becoming severely ill (48%) and only 32% correctly rejected the misconception that everyone with COVID-19 would become severely ill. There was no association between COVID-19-related knowledge and adoption of COVID-19 preventative practices. Qualitative findings suggested that while CHWs possessed lots of correct information about COVID-19 and reported good adherence to COVID-19 prevention practices, they also commonly held misconceptions that over-exaggerated the dangers of COVID-19. Conclusion: gaps in knowledge, training, and access to information point to a need for additional investment in supervision and credible informational systems to support CHWs.

The prevalence of mental disorders among intimate partner violence exposed and non-exposed Rwandans: Findings from a national cross-sectional survey.

Despite mounting evidence indicating an increased risk of long-term mental disorders in Rwanda's general population, little is still known about the national prevalence of mental disorders among victims of intimate partner violence (IPV) in a post-conflict setting. The aim of this study was to compare the prevalence of mental disorders among IPV exposed and non-exposed individuals in Rwanda. This was a cross-sectional study based on secondary data from the 2018 Rwanda Mental Health Survey. The sample consisted 20,381 participants selected nationwide, from 7,124 households (age range: 14-65 years), of which 3,759 Rwandans were exposed to IPV (18.4%) and 16,622 were non-exposed to IPV (81.6%). Participants were screened for IPV exposure and common mental disorders, and data was analyzed using the SPSS version 25 software. The results showed that the rate of any mental disorder was substantially higher in the group exposed to IPV than the non-exposed, at 32.4% and 11.7% respectively. These results highlight that among Rwandans diagnosed with severe mental disorders, participants with a history of IPV exposure present with increased odds of mental disorders prevalence and severity. Therefore, people seeking mental health care should also be screened for their IPV exposure and offered appropriate interventions.

Availability, Costs and Stock-Outs of Essential NCD Drugs in Three Rural Rwandan Districts.

Background: To reduce the non-communicable diseases (NCDs) burden, the World Health Organization has set a target to reach 80% availability of the affordable essential medicines required to treat NCDs by 2025. Objectives: This study described the availability, costs, and stock-outs of essential NCD drugs in three rural Rwandan districts. Methods: We retrospectively assessed 54 NCD drugs listed for district hospitals or health centers in the Rwanda national essential medicines list. Data were collected from three district hospitals and 17 health centers that host NCD clinics. We extracted data on drug availability, quantity dispensed, costs, stock-outs, and the replenishing supplier for these drugs between January 1 and December 31, 2017. Results: Overall, 71% of essential medicines for health centers and 78% of essential medicines for district hospitals were available at facilities. Only 15% of health centers experienced a stock-out of beclomethasone, while 77% experienced at least one stock-out of amlodipine and metformin. The median length of stock-out ranged from nine to 72 days, and 78% of the stock-outs across all health centers were replenished by a Non-Governmental Organization (NGO) partner. Except for enoxaparin and metformin, all district hospitals experienced at least one stock-out of each drug. The median length of stock-out ranged from 3.5 to 228 days, and 82% of the stock-outs across all district hospitals were replenished by the Rwandan Ministry of Health (RMOH). The least expensive drug was digoxin ($0.02, Interquartile range (IQR): 0.01, 0.10), while the most expensive was beclomethasone ($9.35, IQR: 3.00, 13.20). Conclusions: This study shows the viability of drug-supported NCD care in rural settings of sub-Saharan Africa. Stock-outs are a challenge; our study emphasizes the importance of the MOH/NGO partnerships in this context. Medicine costs are also challenging, though, in these districts, drugs are more affordable through community-based health insurance, government, and NGO partner subsidies.

Implementation, Outputs, and Cost of a National Operational Research Training in Rwanda.

Background: Training and mentorship in research skills are essential to developing a critical mass of researchers in low- and middle-income countries (LMICs). However, reporting on the details of such training programs, especially regarding the cost of the training, is limited. Objectives: This paper describes a year-long operational research training and mentorship course in Rwanda, implemented between 2013 and 2017. Approach: We describe motivations for the design of the Intermediate Operational Research Training Course (IORT) across four iterations. We also report outputs, evaluate trainee experiences, and estimate training and mentorship costs. Findings: Of the 132 applicants to the course, 55 (41.7%) were selected, and 53 (96.4%) completed the training. The ratio of female-to-male trainees in the course increased from 1:8 in 2013 to 1:3 in 2017. Trainees developed and co-first-authored 28 research manuscripts, 96.4% (n = 27) of which are published in peer-reviewed journals. For the 15 trainees who completed the post-course evaluation, 93.3% and 86.7% reported improvement in their research and analytical skills, respectively. The median cost per trainee to complete the course was US$908 (Range: US$739-US$1,253) and per research project was US$2,708 (US$1,748-US$6,741). The median annual training delivery and mentorship cost was US$47,170 (US$30,563-US$63,849) for a course with a Rwanda-based senior mentor, junior mentor, and training coordinator. The total essential cost for a year-long IORT course with 16 trainees co-leading eight research projects and mentored by two senior and four junior mentors was US$101,254 (US$73,486-US$157,569). Conclusion: We attribute the high course completion rates, publication rates, and skills acquisition to the learning-by-doing approach and intensive hands-on mentorship provided in the course. IORT was costly and funded through institutional resources and international partnerships. We encourage funders to prioritize comprehensive research capacity-building initiatives that provide intensive mentorship as these are likely to improve the pool of skilled researchers in LMICs.

Maternal predictors of neonatal outcomes after emergency cesarean section: a retrospective study in three rural district hospitals in Rwanda.

BACKGROUND: In sub-Saharan Africa, neonatal mortality post-cesarean delivery is higher than the global average. In this region, most emergency cesarean sections are performed at district hospitals. This study assesses maternal predictors for poor neonatal outcomes post-emergency cesarean delivery in three rural district hospitals in Rwanda. METHODS: This retrospective study includes a random sample of 441 neonates from Butaro, Kirehe and Rwinkwavu District Hospitals, born between 01 January and 31 December 2015. We described the demographic and clinical characteristics of the mothers of these neonates using frequencies and proportions. We assessed the association between maternal characteristics with poor neonatal outcomes, defined as death within 24 h or APGAR < 7 at 5 min after birth, using Fisher's exact test. Factors significant at α = 0.20 significance level were considered for the multivariate logistic regression model, built using a backwards stepwise process. We stopped when all the factors were significant at the α = 0.05 level. RESULTS: For all 441 neonates included in this study, 40 (9.0%) had poor outcomes. In the final model, three factors were significantly associated with poor neonatal outcomes. Neonates born to mothers who had four or more prior pregnancies were more likely to have poor outcomes (OR = 3.01, 95%CI:1.23,7.35, p = 0.015). Neonates whose mothers came from health centers with ambulance travel times of more than 30 min to the district hospital had greater odds of having poor outcomes (for 30-60 min: OR = 3.80, 95%CI:1.07,13.40, p = 0.012; for 60+ minutes: OR = 5.82, 95%CI:1.47,23.05, p = 0.012). Neonates whose mothers presented with very severe indications for cesarean section had twice odds of having a poor outcome (95% CI: 1.11,4.52, p = 0.023). CONCLUSIONS: Longer travel time to the district hospital was a leading predictor of poor neonatal outcomes post cesarean delivery. Improving referral systems, ambulance availability, number of equipped hospitals per district, and road networks may lessen travel delays for women in labor. Boosting the diagnostic capacity of labor conditions at the health center level through facilities and staff training can improve early identification of very severe indications for cesarean delivery for early referral and intervention.