Christian Mazimpaka

and 14 more

Background: In Rwanda, Community Health Workers (CHWs) serve a crucial function in providing community-based maternal and neonatal health (CBMNH) services. However, limited access to refresher training contributes to knowledge gaps among CHWs, affecting their confidence and ability to execute their roles effectively. This study aimed to evaluate the impact of eLearning on enhancing and maintaining CHWs’ knowledge of CBMNH. Methods: This prospective cohort study, conducted from April-October 2021 in two Rwandan districts, evaluated knowledge acquisition and retention among 36 Community Health Workers (CHWs) participating in an eLearning course. Knowledge scores were measured using a structured questionnaire administered pre-training, post-training, and at a six-month follow-up. Descriptive analysis and paired t-tests were used to assess mean score differences, exploring the effectiveness of this eLearning approach. Results: This study demonstrated an improvement in Community Health Workers’ (CHWs) performance scores following eLearning training, with an average rise from 86.5% to 98.2%. The improvement was sustained at a six-month follow-up. Statistical significance was found between age category and CHWs’ pre and post-test performance (p=0.01, p=0.04 respectively), and between years of experience and pre-test scores (p=0.02), highlighting demographic influences on training outcomes. Conclusions: The results of this study suggest that eLearning is an effective method for enhancing and retaining CHWs’ knowledge of CBMNH. The findings support the use of eLearning as a valuable strategy for strengthening the capacity of CHWs in Rwanda and other countries with similar contexts.

Christian Mazimpaka

and 6 more

Background: The Patient Voice Program and Citizen Voice and Action models use scorecard meetings for community-provider-government dialogue to improve health services. This study evaluates the responsiveness of leaders and providers to concerns voiced by citizens through these scorecard meetings at the health center and district office levels in Rwanda. Methods: We conducted a cross-sectional study from July to September 2022 in 325 Rwandan health centers across 20 districts. Responsiveness was measured by comparing resolved issues to raised issues. Logistic regression identified predictors of issue resolution, with a p-value less than 0.05 considered significant. Median responsiveness turnaround time was also analyzed. Results: In total, 59.4% (1,163) of the identified gaps were resolved. Facility-level issues experienced a higher resolution rate (65.9%) than district-level issues (35.4%). Gaps at the facility level were 3.24 times more likely to be resolved than those at the district level (OR: 3.24, p<0.001, 95% CI: [2.48,4.25]). Integrated gaps had 1.46 times higher odds of resolution compared to issues stemming from reproductive, maternal, newborn, and child health services (OR: 1.46, p<0.05, 95% CI: [1.13,1.88]). The median responsiveness turnaround time for resolving a gap was approximately 15.4 months (IQR: 6.7-25.8). Conclusions: The study shows that Patient Voice Program and Citizen Voice and Action models are effective in addressing healthcare service gaps. By promoting collaboration among communities, healthcare providers, and governments, these models facilitate targeted, locally-supported solutions that significantly improve the resolution of health service delivery issues.