Perceptions of male partners on maternal near-miss events experienced by their female partners in Rwanda.

Background: Maternal near-miss refers to women who survive death from life-threatening obstetric complications and has various social, financial, physical, and psychological impacts on families.

Objective: To explore male partners' perceptions of maternal near-miss experienced by their female partners and the associated psychosocial impacts on their families in Rwanda.

Methods: This was a qualitative study involving 27 semi-structured in-depth interviews with male partners whose spouses experienced a maternal near-miss event.

Women's experiences and perceptions on the impacts of maternal near miss and related complications in Rwanda: A qualitative study.

Maternal morbidity and mortality continue to emerge across the globe especially in lower-income countries. This study aimed at exploring in-depth perceptions of near-miss experiences among Rwandan women and how these experiences can be used to develop strategies for health policy implementation. Using qualitative inductive research based on grounded theory, we analyzed 27 in-depth interviews that were conducted with women with documented records of maternal near-miss events.

Effect of pregnancy intention on the timing and sustained use of antenatal care services in Rwanda.

We investigated the relationship between intended pregnancy and utilization of antenatal care services in Rwanda. Using Demographic and Health Survey 2014/2015, secondary data was obtained on maternal health services utilization. We performed stepwise logistic regression analysis to examine the effect of independent variables on women's early and late utilization, as well as their sustained use of antenatal services.

Spatio-temporal disparities in maternal health service utilization in Rwanda: What next for SDGs?

The Sustainable Development Goals (SDGs) in part aim to further improve maternal health outcomes by reducing spatial disparities in utilization of critical services such as antenatal and assisted delivery, with emphasis on decentralization and integration of strategies. Yet, our understanding of within country spatial disparities in maternal health services (MHS) utilization over time has been scant. By fitting multiple regression models to a pooled dataset of the 2010/11 and 2014/15 Rwanda Demographic and Health Surveys (n = 12,273), and employing post-estimation margins analysis, we examined spatial differentiation of MHS trends prior to the SDGs in Rwanda.