
Maternal mortality remains a significant public health issue in many African countries, including Rwanda. In Kigali, community-based healthcare programmes have been implemented to address this challenge. A mixed-methods approach was employed, combining quantitative survey data from CHWs with qualitative interviews and observations. Statistical modelling using logistic regression was conducted to assess programme impact. The study found that the proportion of women who received antenatal care increased by 30% post-programme implementation, contributing to a reduction in maternal mortality rates. CHW programmes proved effective in improving access to healthcare services for pregnant women and reducing maternal deaths. Further research should focus on scaling up successful CHW models while addressing potential barriers such as financial constraints and inadequate infrastructure. Maternal Mortality, Community Health Workers, Longitudinal Analysis, Rwanda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
research, evaluation, Sub-Saharan, African, qualitative, community intervention, GIS
research, evaluation, Sub-Saharan, African, qualitative, community intervention, GIS
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
