BackgroundThe measurement of progress in maternal and newborn health often relies on data provided by women in surveys on the quality of care they received. The majority of these indicators, however, including the widely tracked “skilled attendance at birth” indicator, have not been validated. We assess the validity of a large set of maternal and newborn health indicators that are included or have the potential to be included in population–based surveys.MethodsWe compare women’s reports of care received during labor and delivery in two Kenyan hospitals prior to discharge against a reference standard of direct observations by a trained third party (n = 662). We assessed individual–level reporting accuracy by quantifying the area under the receiver operating curve (AUC) and estimated population–level accuracy using the inflation factor (IF) for each indicator with sufficient numbers for analysis.FindingsFour of 41 indicators performed well on both validation criteria (AUC>0.70 and 0.75

BackgroundThe Government of Kenya is making plans to implement a social health insurance program by transforming the National Hospital Insurance Fund (NHIF) into a universal health coverage program. The objective of this study was to examine the determinants associated with health insurance ownership among women in Kenya.MethodsData came from the 2008–09 Kenya Demographic and Health Survey, a nationally representative survey. The sample comprised 8,435 women aged 15–49 years. Descriptive statistics and multivariable logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with health insurance ownership.ResultsBeing employed in the formal sector, being married, exposure to the mass media, having secondary education or higher, residing in households in the middle or rich wealth index categories and residing in a female-headed household were associated with having health insurance. However, region of residence was associated with a lower likelihood of having insurance coverage. Women residing in Central (OR = 0.4; p < 0.01) and North Eastern (OR = 0.1; p < 0.5) provinces were less likely to be insured compared to their counterparts in Nairobi province.ConclusionsAs the Kenyan government transforms the NHIF into a universal health program, it is important to implement a program that will increase equity and access to health care services among the poor and vulnerable groups.

In 2003, the child mortality rate in Kenya was 115/1000 children compared to 88/1000 average for Sub-Saharan African countries. This study sought to determine the effect of maternal education on immunization (n=2,169) and nutritional status (n=5,949) on child's health. Cross-sectional data, Kenya Demographic Health Survey (KDHS)-2003 were used for data analyses. 80% of children were stunted and 49% were immunized. After controlling for confounding, overall, children born to mothers with only a primary education were 2.17 times more likely to be fully immunized compared to those whose mothers lacked any formal education, P<0.001. For nutrition, unadjusted results, children born to mothers with primary education were at 94% lower odds of having stunted growth compared to mothers with no primary education, P<0.01. Policy implications for child health in Kenya should focus on increasing health knowledge among women for better child health outcomes.

BackgroundTracking progress on maternal and newborn survival requires accurate information on the coverage of essential interventions. Despite widespread use, most indicators measuring maternal and newborn intervention coverage have not been validated. This study assessed the ability of women delivering in two Kenyan hospitals to recall critical elements of care received during the intrapartum and immediate postnatal period at two time points: hospital discharge and 13–15 months following delivery.MethodsWomen’s reports of received care were compared against observations by trained third party observers. Indicators selected for validation were either currently in use or have the potential to be included in population–based surveys. We used a mixed–methods approach to validate women’s reporting ability. We calculated individual–reporting accuracy using the area under the receiver operating curve (AUC), population–level accuracy using the inflation factor (IF), and compared the accuracy of women’s reporting at baseline and follow–up. We also assessed the consistency of women’s reporting over time. We used in–depth interviews with a sub–set of women (n = 20) to assess their understanding of key survey terms.ResultsOf 606 women who participated at baseline and agreed to follow–up, 515 were re–interviewed. Thirty–eight indicators had sufficient sample size for validation analysis; ten met criteria for high or moderate reporting accuracy (0.60

BackgroundThe government of Kenya is making plans to implement a social health insurance program by transforming the National Hospital Insurance Fund (NHIF) into a universal health coverage program. This paper examines the determinants associated with participation in the NHIF among residents of urban slums in Nairobi city.MethodsThe study used data from the Nairobi Urban Health and Demographic Surveillance System in two slums in Nairobi city, where a total of about 60,000 individuals living in approximately 23,000 households are under surveillance. Descriptive statistics and multivariate logistic regression analysis were used to describe the characteristics of the sample and to identify factors associated with participation in the NHIF program.ResultsOnly 10% of the respondents were participating in the NHIF program, while less than 1% (0.8%) had private insurance coverage. The majority of the respondents (89%) did not have any type of insurance coverage. Females were more likely to participate in the NHIF program (OR = 2.4; p < 0.001), while respondents who were formerly in a union (OR = 0.5; p < 0.05) and who were never in a union (OR = 0.6; p < 0.05) were less likely to have public insurance coverage. Respondents working in the formal employment sector (OR = 4.1; p < 0.001) were more likely to be enrolled in the NHIF program compared to those in the informal sector. Membership in microfinance institutions such as savings and credit cooperative organizations (SACCOs) and community-based savings and credit groups were important determinants of access to health insurance.ConclusionsThe proportion of slum residents without any type of insurance is high, which underscores the need for a social health insurance program to ensure equitable access to health care among the poor and vulnerable segments of the population. As the Kenyan government moves toward transforming the NHIF into a universal health program, it is important to harness the unique opportunities offered by both the formal and informal microfinance institutions in improving health care capacity by considering them as viable financing options within a comprehensive national health financing policy framework.