Interpersonal violence against women and maternity care in Migori County, Kenya: evidence from a cross-sectional survey.

Background: Interpersonal violence (IPV) is an issue of major public health concern, with 24% of Kenyan women reporting physical violence perpetrated by a current husband or partner. IPV has profound impacts on physical and mental health outcomes, particularly for pregnant women; it has been found to increase the risk of perinatal mortality, low birth weight, and preterm birth. This study aims to identify variables associated with IPV and assess the effects of IPV experience on prenatal and peripartum maternal healthcare in Migori County, Kenya. Findings build on a previous study that investigated a smaller region of Migori County. Methods: Responses to cross-sectional household surveys conducted in six wards of Migori County, Kenya in 2021 from female respondents aged 18 and older were analyzed. The survey contained validated screening tools for interpersonal violence. Group-wise comparisons, and bivariate and multivariate logistic regression analyses were performed to describe community prevalence, factors associated with IPV against women, and the effect of IPV exposure on prenatal and peripartum health care. Results: This study finds that 2,306 (36.7%) of the 6,290 respondents had experienced lifetime IPV. IPV experience was associated with the age group 25-49 (adjusted odds ratio (aOR) 1.208; 95%CI: [1.045-1.397]; p = 0.011), monogamous marriage [aOR 2.152; 95%CI: (1.426-3.248); p < 0.001], polygamous marriage [aOR 2.924; 95%CI: (1.826-4.683); p < 0.001], being widowed/divorced/separated [aOR 1.745; 95%CI: (1.094-2.786); p < 0.001], feeling an attitude of "sometimes okay" toward wife beating [aOR 2.002 95%CI: (1.651, 2.428); p < 0.001], having been exposed to IPV in girlhood [aOR 2.525; 95%CI: (2.202-2.896); p < 0.001] and feeling safe in the current relationship [aOR 0.722; 95%CI: (0.609, 0.855); p < 0.001]. A depression score of mild [aOR 1.482; 95%CI: (1.269, 1.73); p < 0.001] and severe [aOR 2.403; 95%CI: (1.429, 4.039); p = 0.001] was also associated with IPV experience, and women who experienced emotional abuse were much more likely to have experienced IPV [aOR 10.462; 95% CI: (9.037, 12.112); p < 0.001]. Adjusted analyses showed that having experienced IPV was negatively associated with attending at least four antenatal care visits during the most recent pregnancy (OR 0.849, p = 0.044) and with having a skilled birth attendant (OR 0.638, p = 0.007). Conclusions: IPV is prevalent in Migori County, Kenya, with increased prevalence among women aged 25-49, those residing in West Kanyamkago, those in a monogamous or polygamous marriage, those who have been widowed/divorced/separated, and those with severe depressive symptoms. Further, IPV exposure is associated with lower use of maternal care services and may lead to worse maternal health outcomes. There is need for enhanced effort in addressing social and gender norms that perpetuate IPV, and this study can contribute to guiding policy interventions and community responses towards IPV.

Childhood mortality and associated factors in Migori County, Kenya: evidence from a cross-sectional survey.

OBJECTIVES: The under-five mortality (U5M) rate in Kenya (41 per 1000 live births) remains significantly above international goals (25 per 1000 live births). This is further exacerbated by regional inequalities in mortality. We aimed to describe U5M in Migori County, Kenya, and identify associated factors that can serve as programming targets. DESIGN: Cross-sectional observational survey. SETTING: Areas served by the Lwala Community Alliance and control areas in Migori County, Kenya. PARTICIPANTS: This study included 15 199 children born to respondents during the 18 years preceding the survey. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was mortality in the first 5 years of life. The survey was powered to detect a 10% change in various health metrics over time with 80% power. RESULTS: A total of 15 199 children were included in the primary analyses, and 230 (1.5%) were deceased before the fifth birthday. The U5M rate from 2016 to 2021 was 32.2 per 1000 live births. Factors associated with U5M included year of birth (HR 0.926, p<0.001), female sex (HR 0.702, p=0.01), parental marriage (HR 0.642, p=0.036), multiple gestation pregnancy (HR 2.776, p<0.001), birth spacing less than 18 months (HR 1.894, p=0.005), indoor smoke exposure (HR 1.916, p=0.027) and previous familial contribution to the National Hospital Insurance Fund (HR 0.553, p=0.009). The most common cause of death was malaria. CONCLUSIONS: We describe factors associated with childhood mortality in a Kenyan community using survival analyses of complete birth histories. Mortality rates will serve as the baseline for future programme evaluation as a part of a 10-year study design. This provides both the hyperlocal information needed to improve programming and generalisable conclusions for other organisations working in similar environments.

Training and experience outperform literacy and formal education as predictors of community health worker knowledge and performance, results from Rongo sub-county, Kenya.

Introduction: There is a growing recognition that Community Health Workers are effective at improving health outcomes and expanding health access. However, the design elements that lead to high-quality Community Health Worker programing are relatively understudied. We looked at the predictors of Community Health Worker knowledge of obstetric and early infant danger signs as well as performance in achieving antenatal care and immunization uptake among their clients. Methods: The study takes place in the context of an intervention implemented jointly by Lwala Community Alliance and the Kenya Ministry of Health which sought to professionalize Community Health Worker cadres through enhanced training, payment, and supervision. There were four cohorts included in the study. Two cohorts started receiving the intervention prior to the baseline, one cohort received the intervention between the baseline and endline, and a final cohort did not receive the intervention. Data on Community Health Worker demographics, knowledge tests, and key performance indicators were collected for 234 Community Health Workers. Regression analyses were used to explore education, literacy, experience, training, and gender as potential predictors of CHW performance. Results: We found that clients of Community Health Workers trained through the intervention were 15% more likely to be fully immunized and 14% more likely to have completed four or more antenatal care visits. Additionally, recency of training and experience caring for pregnant women were associated with increased Community Health Worker knowledge. Finally, we found no association between gender and CHW competency and tenuous associations between education/literacy and Community Health Worker competency. Discussion: We conclude that the intervention was predictive of increased Community Health Worker performance and that recency of training and experience were predictive of increased knowledge. Though education and literacy are often used in the selection processes of Community Health Workers globally, the link between these characteristics and Community Health Worker knowledge and performance are mixed. Thus, we encourage further research into the predictive value of common Community Health Worker screening and selection tools. Further, we encourage policymakers and practitioners to reconsider the use of education and literacy as means of Community Health Worker selection.

Population-based socio-demographic household assessment of livelihoods and health among communities in Migori County, Kenya over multiple timepoints (2021, 2024, 2027): A study protocol.

Migori County is located in western Kenya bordering Lake Victoria and has traditionally performed poorly on important health metrics, including child mortality and HIV prevalence. The Lwala Community Alliance is a non-governmental organization that serves to promote the health and well-being of communities in Migori County through an innovative model utilizing community health workers, community committees, and high-quality facility-based care. This has led to improved outcomes in areas served, including improvements in childhood mortality. As the Lwala Community Alliance expands to new programming areas, it has partnered with multiple academic institutions to rigorously evaluate outcomes. We describe a repeated cross-sectional survey study to evaluate key health metrics in both areas served by the Lwala Community Alliance and comparison areas. This will allow for longitudinal evaluation of changes in metrics over time. Surveys will be administered by trained enumerators on a tablet-based platform to maintain high data quality.