Factors influencing mothers' decisions regarding obstetrical care in Western Kenya: a mixed-methods study.

BACKGROUND: Siaya County in Western Kenya has one of the highest maternal mortality rates in Kenya. We sought to elucidate factors that influence mothers' decisions regarding where to seek obstetrical care, to inform interventions that seek to promote effective use of obstetric services and reduce maternal mortalities. To guide our research, we used the "Three Delays Model", focusing on the first delay-seeking care. While interventions to reduce maternal mortalities have focused on addressing delays in accessing and receiving care, context-specific data on drivers of the first delay are scarce. METHODS: We used a mixed-method study to assess how maternal decision-making of birth location is influenced by personal, contextual, and cultural factors. We conducted structured interviews with women aged 14 years or older living in Siaya, Bondo, and Yala, rural districts in Western Kenya. We then conducted focus group interviews with a subset of women to elucidate this question: How do drivers of the first delay (i.e., seeking care) affect the decision to seek home versus hospital delivery, potentially negatively influencing maternal mortality. RESULTS: Three hundred and seven women responded to the surveys, and 67 women (22%) from this group participated in focus group interviews. Although we focused on type 1 delays, we discovered that several factors that impact type 2 and type 3 delays directly contribute to type 1 delays. Our findings highlighted that factors influencing women's decisions to seek care are not simply medical or cultural but rather contextual, involving many elements of life, particularly in rural communities. CONCLUSIONS: It is imperative to address multiple-level factors that influence women's decisions to seek care and have in-hospital deliveries. To curtail maternal mortality in rural Western Kenya and comparable settings, targeted interventions must take into consideration these important influencers.

HIV infection and increased food insecurity are associated with adverse body composition changes among pregnant and lactating Kenyan women.

BACKGROUND/OBJECTIVES: Body composition changes markedly during reproduction. In sub-Saharan Africa, impacts of HIV infection on body composition across pregnancy and lactation in the context of Option B+ antiretroviral therapy are unknown. Therefore, we sought to evaluate the role of HIV infection on body composition during pregnancy and lactation among Kenyan women. SUBJECTS/METHODS: A cohort of pregnant women (n = 333; 50.5% HIV+, receiving ART) were enrolled at seven clinics in western Kenya. Two prenatal (mean ± SD: 23.6 ± 4.4 and 33.4 ± 2.0 weeks gestation) and three postpartum (6, 14, and 36 weeks) measurements included: individual-level food insecurity, height, weight, fat mass (FM), and fat-free mass (FFM) by bioimpedance analysis (BIA), mid-upper arm circumference (MUAC), and triceps skinfold (TSF), allowing for AMA (arm muscle area) and AFA (arm fat area) derivation. Multivariable longitudinal regression models were used to relate HIV to body composition changes. RESULTS: In longitudinal models, HIV-infected women had lower weight (ß = -3.0 kg, p = 0.003), fat mass (ß = -1.5 kg, p = 0.02), fat-free mass (ß = -1.5 kg, p = 0.01), TSF (ß = -2.6 mm, p < 0.001), AFA (ß = -3.9 cm3, p < 0.001), and MUAC (ß = -1.0 cm, p = 0.001), but not AMA (p = 0.34), across all observations. Food insecurity was inversely associated with AMA and MUAC postpartum (AMA ß-range = -0.47 to -0.92 cm3; MUAC ß-range = -0.09 to -0.15 cm, all p < 0.05). CONCLUSIONS: HIV infection was associated with lower weight, fat mass, fat-free mass, TSF, AFA, and MUAC values during pregnancy and lactation, while food insecurity was intermittently associated with body composition. This suggests that pregnant and lactating women living with HIV and food insecurity could benefit from nutritional support.