Determinants of modern contraceptive prevalence and unplanned pregnancies in Migori County, Kenya: results of a cross-sectional household survey.

Family planning and contraceptive utilization can have significant effects in reducing unplanned pregnancies and improving maternal and child health indicators. We conducted a retrospective cross-sectional study analyzing survey response data within six sub-locations of Migori County, Kenya in 2018 and 2019. We utilize this survey data to estimate both the prevalence of contraceptive uptake and unwanted pregnancies in the study populations, and to examine the potential role that different factors play in meeting related family planning targets. Descriptive statistics were calculated, and multivariable logistic regression was used to model determinants of contraceptive use and reported unplanned pregnancy. A total of 3,642 female heads of household were included. 63% of respondents reported that they currently use some form of contraception, and the prevalence of unplanned pregnancy was 36.7%. Our findings reflect the need for family planning programs to focus interventions on those at highest risk. There is a need for additional research and investigation into community and individual beliefs surrounding family planning in order to ensure that interventions are culturally sensitive and locally responsive.

Knowledge of Obstetric and Neonatal Danger Signs among Community Health Workers in the Rongo Sub-County of Migori County, Kenya: Results of a Community-based Cross-Sectional Survey.

In efforts to reduce maternal and neonatal mortality, it is recommended that all pregnant women be counseled on signs of pregnancy related complications and neonatal illness. In resource limited settings, such counselling may be task-shifted to lay health workers. We conducted a community-based cross-sectional survey of community health workers/volunteers in North and East Kamagambo of the Rongo Sub- County of Migori County, Kenya, between January-April 2018. A survey tool was administered through face-to-face interviews to investigate the level of knowledge of obstetric and neonatal danger signs among community health workers in North Kamagambo after one year of participation in the Lwala program, as well as to evaluate baseline knowledge of community health volunteers in East Kamagambo at the beginning of Lwala's expansion and prior to their receiving training from Lwala. The North Kamagambo group identified more danger signs in each category. The percentage of participants with adequate knowledge in the pregnancy, postpartum, and neonatal categories was significantly higher in North Kamagambo than in East Kamagambo. Sixty percent of participants in North Kamagambo knew 3 or more danger signs in 3 or more categories, compared to 24% of participants in East Kamagambo. Location in North Kamagambo (OR 2.526, p=0.03) and a shorter time since most recent training (OR 2.291, p=0.025) were associated with increased knowledge. Our study revealed varying levels of knowledge among two populations of lay health workers. This study highlights the benefit of frequent trainings and placing greater emphasis on identified gaps in knowledge of the labor and postpartum periods.

Analysis of user interactions with a digital health wallet for enabling care continuity in the context of an ongoing pandemic.

BACKGROUND: The onset of COVID-19 and related policy responses made it difficult to study interactive health informatics solutions in clinical study settings. Instrumented log and event data from interactive systems capture temporal details that can be used to generate insights about care continuity during ongoing pandemics. OBJECTIVE: To investigate user interactions with a digital health wallet (DHW) system for addressing care continuity challenges in chronic disease management in the context of an ongoing pandemic. MATERIALS AND METHODS: We analyzed user interaction log data generated by clinicians, nurses, and patients from the deployment of a DHW in a feasibility study conducted during the COVID-19 pandemic in Kenya. We used the Hamming distance from Information Theory to quantify deviations of usage patterns extracted from the events data from predetermined workflow sequences supported by the platform. RESULTS: Nurses interacted with all the user interface elements relevant to triage. Clinicians interacted with only 43% of elements relevant to consultation, while patients interacted with 67% of the relevant user interface elements. Nurses and clinicians deviated from the predetermined workflow sequences by 42% and 36%, respectively. Most deviations pertained to users going back to previous steps in their usage workflow. CONCLUSIONS: User interaction log analysis is a valuable alternative method for generating and quantifying user experiences in the context of ongoing pandemics. However, researchers should mitigate the potential disruptions of the actual use of the studied technologies as well as use multiple approaches to investigate user experiences of health technology during pandemics.

The Prevalence of Interpersonal Violence (IPV) Against Women and its Associated Variables: An Exploratory Study in the Rongo Sub-County of Migori County, Kenya.

Interpersonal violence (IPV) within intimate partner relationships and gender-based violence remain major public health problems worldwide; 44.8% of Kenyan women have reported experiencing IPV beginning after the age of 15 years (National Bureau of Statistics Nairobi, Kenya, 2015). Combatting IPV and its sequelae is integral to promoting gender equality, a key target of the Sustainable Development Goals. We quantify the lifetime prevalence of IPV among women in two rural Kenyan communities, as well as factors associated with IPV in this area, such as educational attainment and severe depression. We conducted a cross-sectional population-based survey of households in the North and East Kamagambo wards of Migori County, Kenya in May 2018. A questionnaire regarding IPV was given to female respondents. Group-wise comparisons and multiple logistic regression analyses were performed to describe community prevalence and factors associated with IPV against women. A total of 873 women completed questions about IPV, representing a population estimate of 11,252 women in the study area. Lifetime IPV prevalence in the study area was 60.3%. Variables associated with IPV included involvement in a polygamous marriage (adjusted odds ratio [aOR]: 1.81; 95% confidence interval [CI]: [1.13, 2.88]; p = .013), attaining six or fewer years of education (aOR: 1.84; 95% CI: [1.27, 2.66]; p = .001), and IPV exposure in girlhood (aOR: 1.59; 95% CI: [1.12, 2.28]; p = .011). IPV was independently associated with experience of emotional abuse (OR: 11.22; 95% CI: [7.02, 17.95]; p < .001) and severe depression (OR: 3.51; 95% CI: [1.03, 11.97]; p = .045). Violence against women is a public health emergency in Migori County, Kenya. Low educational attainment, IPV exposure in girlhood, and polygamy were significantly associated with experience of IPV. Our results provide hyper-local data necessary for targeted interventions and generalizable data with sampling methods for use by other implementing organizations in sub-Saharan Africa.

Continuity of community-based healthcare provision during COVID-19: a multicountry interrupted time series analysis.

BACKGROUND: Pandemics often precipitate declines in essential health service utilisation, which can ultimately kill more people than the disease outbreak itself. There is some evidence, however, that the presence of adequately supported community health workers (CHWs), that is, financially remunerated, trained, supplied and supervised in line with WHO guidelines, may blunt the impact of health system shocks. Yet, adequate support for CHWs is often missing or uneven across countries. This study assesses whether adequately supported CHWs can maintain the continuity of essential community-based health service provision during the COVID-19 pandemic. METHODS: Interrupted time series analysis. Monthly routine data from 27 districts across four countries in sub-Saharan Africa were extracted from CHW and facility reports for the period January 2018-June 2021. Descriptive analysis, null hypothesis testing, and segmented regression analysis were used to assess the presence and magnitude of a possible disruption in care utilisation after the earliest reported cases of COVID-19. RESULTS: CHWs across all sites were supported in line with the WHO Guideline and received COVID-19 adapted protocols, training and personal protective equipment within 45 days after the first case in each country. We found no disruptions to the coverage of proactive household visits or integrated community case management (iCCM) assessments provided by these prepared and protected CHWs, as well as no disruptions to the speed with which iCCM was received, pregnancies were registered or postnatal care received. CONCLUSION: CHWs who were equipped and prepared for the pandemic were able to maintain speed and coverage of community-delivered care during the pandemic period. Given that the majority of CHWs globally remain unpaid and largely unsupported, this paper suggests that the opportunity cost of not professionalising CHWs may be larger than previously estimated, particularly in light of the inevitability of future pandemics.

Lessons from an eight-country community health data harmonization collaborative.

BACKGROUND: Community health workers (CHWs) are individuals who are trained and equipped to provide essential health services to their neighbors and have increased access to healthcare in communities worldwide for more than a century. However, the World Health Organization (WHO) Guideline on Health Policy and System Support to Optimize Community Health Worker Programmes reveals important gaps in the evidentiary certainty about which health system design practices lead to quality care. Routine data collection across countries represents an important, yet often untapped, opportunity for exploratory data analysis and comparative implementation science. However, epidemiological indicators must be harmonized and data pooled to better leverage and learn from routine data collection. METHODS: This article describes a data harmonization and pooling Collaborative led by the organizations of the Community Health Impact Coalition, a network of health practitioners delivering community-based healthcare in dozens of countries across four WHO regions. OBJECTIVES: The goals of the Collaborative project are to; (i) enable new opportunities for cross-site learning; (ii) use positive and negative outlier analysis to identify, test, and (if helpful) propagate design practices that lead to quality care; and (iii) create a multi-country 'brain trust' to reinforce data and health information systems across sites. RESULTS: This article outlines the rationale and methods used to establish a data harmonization and pooling Collaborative, early findings, lessons learned, and directions for future research.

Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.

INTRODUCTION: Narrow, unidimensional measures of poverty often fail to measure true poverty and inadequately capture its drivers. Multidimensional indices of poverty more accurately capture the diversity of poverty. There is little research regarding the association between multidimensional poverty and depression. METHODS: A cross-sectional survey was administered in five sub-locations in Migori County, Kenya. A total of 4,765 heads of household were surveyed. Multidimensional poverty indices were used to determine the association of poverty with depression using the Patient Health Questionnaire (PHQ-8) depression screening tool. RESULTS: Across the geographic areas surveyed, the overall prevalence of household poverty (deprivation headcount) was 19.4%, ranging from a low of 13.6% in Central Kamagambo to a high of 24.6% in North Kamagambo. Overall multidimensional poverty index varied from 0.053 in Central Kamagambo to 0.098 in North Kamagambo. Of the 3,939 participants with depression data available, 481 (12.2%) met the criteria for depression based on a PHQ-8 depression score ≥10. Poverty showed a dose-response association with depression. CONCLUSIONS: Multidimensional poverty indices can be used to accurately capture poverty in rural Kenya and to characterize differences in poverty across areas. There is a clear association between multidimensional poverty and depressive symptoms, including a dose effect with increasing poverty intensity. This supports the importance of multifaceted poverty policies and interventions to improve wellbeing and reduce depression.

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.