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The introduction of new policies and strategies to reduce inequities and improve child health in Kenya: A country case study on progress in child survival, 2000-2013.

ABSTRACT: As of 2015, only 12 countries in the World Health Organization's AFRO region had met Millennium Development Goal #4 (MDG#4) to reduce under-five mortality by two-thirds by 2015. Given the variability across the African region, a four-country study was undertaken to examine barriers and facilitators of child survival prior to 2015. Kenya was one of the countries selected for an in-depth case study due to its insufficient progress in reducing under-five mortality, with only a 28% reduction between 1990 and 2013. This paper presents indicators, national documents, and qualitative data describing the factors that have both facilitated and hindered Kenya's efforts in reducing child mortality. Key barriers identified in the data were widespread socioeconomic and geographic inequities in access and utilization of maternal, neonatal, and child health (MNCH) care. To reduce these inequities, Kenya implemented three major policies/strategies during the study period: removal of user fees, the Kenya Essential Package for Health, and the Community Health Strategy. This paper uses qualitative data and a policy review to explore the early impacts of these efforts. The removal of user fees has been unevenly implemented as patients still face hidden expenses. The Kenya Essential Package for Health has enabled construction and/or expansion of healthcare facilities in many areas, but facilities struggle to provide Emergency Obstetric and Neonatal Care (EmONC), neonatal care, and many essential medicines and commodities. The Community Health Strategy appears to have had the most impact, improving referrals from the community and provision of immunizations, malaria prevention, and Prevention of Mother-to-Child Transmission of HIV. However, the Community Health Strategy is limited by resources and thus also unevenly implemented in many areas. Although insufficient progress was made pre-2015, with additional resources and further scale-up of new policies and strategies Kenya can make further progress in child survival.

SUBMITTER: Brault MA

PROVIDER: S-EPMC5538680 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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The introduction of new policies and strategies to reduce inequities and improve child health in Kenya: A country case study on progress in child survival, 2000-2013.

Brault Marie A MA Ngure Kenneth K Haley Connie A CA Kabaka Stewart S Sergon Kibet K Desta Teshome T Mwinga Kasonde K Vermund Sten H SH Kipp Aaron M AM

PloS one 20170801 8

As of 2015, only 12 countries in the World Health Organization's AFRO region had met Millennium Development Goal #4 (MDG#4) to reduce under-five mortality by two-thirds by 2015. Given the variability across the African region, a four-country study was undertaken to examine barriers and facilitators of child survival prior to 2015. Kenya was one of the countries selected for an in-depth case study due to its insufficient progress in reducing under-five mortality, with only a 28% reduction between ...[more]

PMID: 28763454

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Project description:OBJECTIVES:Only 12 countries in the WHO's African region met Millennium Development Goal 4 (MDG 4) to reduce under-five mortality by two-thirds by 2015. Given the variability across the African region, a four-country mixed methods study was undertaken to examine barriers and facilitators of child survival prior to 2015. Liberia was selected for an in-depth case study due to its success in reducing under-five mortality by 73% and thus successfully meeting MDG 4. Liberia's success was particularly notable given the civil war that ended in 2003. We examined some factors contributing to their reductions in under-five mortality. DESIGN:A case study mixed methods approach drawing on data from quantitative indicators, national documents and qualitative interviews was used to describe factors that enabled Liberia to rebuild their maternal, neonatal and child health (MNCH) programmes and reduce under-five mortality following the country's civil war. SETTING:The interviews were conducted in Monrovia (Montserrado County) and the areas in and around Gbarnga, Liberia (Bong County, North Central region). PARTICIPANTS:Key informant interviews were conducted with Ministry of Health officials, donor organisations, community-based organisations involved in MNCH and healthcare workers. Focus group discussions were conducted with women who have experience accessing MNCH services. RESULTS:Three prominent factors contributed to the reduction in under-five mortality: national prioritisation of MNCH after the civil war; implementation of integrated packages of services that expanded access to key interventions and promoted intersectoral collaborations; and use of outreach campaigns, community health workers and trained traditional midwives to expand access to care and improve referrals. CONCLUSIONS:Although Liberia experiences continued challenges related to limited resources, Liberia's effective strategies and rapid progress may provide insights for reducing under-five mortality in other post-conflict settings.

Project description:Despite notable progress reducing global under-five mortality rates, insufficient progress in most sub-Saharan African nations has prevented the achievement of Millennium Development Goal four (MDG#4) to reduce under-five mortality by two-thirds between 1990 and 2015. Country-level assessments of factors underlying why some African countries have not been able to achieve MDG#4 have not been published. Zimbabwe was included in a four-country study examining barriers and facilitators of under-five survival between 2000 and 2013 due to its comparatively slow progress towards MDG#4. A review of national health policy and strategy documents and analysis of qualitative data identified Zimbabwe's critical shortage of health workers and diminished opportunities for professional training and education as an overarching challenge. Moreover, this insufficient health workforce severely limited the availability, quality, and utilization of life-saving health services for pregnant women and children during the study period. The impact of these challenges was most evident in Zimbabwe's persistently high neonatal mortality rate, and was likely compounded by policy gaps failing to authorize midwives to deliver life-saving interventions and to ensure health staff make home post-natal care visits soon after birth. Similarly, the lack of a national policy authorizing lower-level cadres of health workers to provide community-based treatment of pneumonia contributed to low coverage of this effective intervention and high child mortality. Zimbabwe has recently begun to address these challenges through comprehensive policies and strategies targeting improved recruitment and retention of experienced senior providers and by shifting responsibility of basic maternal, neonatal and child health services to lower-level cadres and community health workers that require less training, are geographically broadly distributed, and are more cost-effective, however the impact of these interventions could not be assessed within the scope and timeframe of the current study.

Project description:BackgroundProgress in reproductive, maternal, newborn, and child health (RMNCH) in Kenya has been inconsistent over the past two decades, despite the global push to foster accountability, reduce child mortality, and improve maternal health in an equitable manner. Although several cross-sectional assessments have been done, a systematic analysis of RMNCH in Kenya was needed to better understand the push and pull factors that govern intervention coverage and influence mortality trends. As such, we aimed to determine coverage and impact of key RMNCH interventions between 1990 and 2015.MethodsWe did a comprehensive, systematic assessment of RMNCH in Kenya from 1990 to 2015, using data from nationally representative Demographic Health Surveys done between 1989 and 2014. For comparison, we used modelled mortality estimates from the UN Inter-Agency Groups for Child and Maternal Mortality Estimation. We estimated time trends for key RMNCH indicators, as defined by Countdown to 2015, at both the national and the subnational level, and used linear regression methods to understand the determinants of change in intervention coverage during the past decade. Finally, we used the Lives Saved Tool (LiST) to model the effect of intervention scale-up by 2030.FindingsAfter an increase in mortality between 1990 and 2003, there was a reversal in all mortality trends from 2003 onwards, although progress was not substantial enough for Kenya to achieve Millennium Development Goal targets 4 or 5. Between 1990 and 2015, maternal mortality declined at half the rate of under-5 mortality, and changes in neonatal mortality were even slower. National-level trends in intervention coverage have improved, although some geographical inequities remain, especially for counties comprising the northeastern, eastern, and northern Rift Valley regions. Disaggregation of intervention coverage by wealth quintile also revealed wide inequities for several health-systems-based interventions, such as skilled birth assistance. Multivariable analyses of predictors of change in family planning, skilled birth assistance, and full vaccination suggested that maternal literacy and family size are important drivers of positive change in key interventions across the continuum of care. LiST analyses clearly showed the importance of quality of care around birth for maternal and newborn survival.InterpretationIntensified and focused efforts are needed for Kenya to achieve the RMNCH targets for 2030. Kenya must build on its previous progress to further reduce mortality through the widespread implementation of key preventive and curative interventions, especially those pertaining to labour, delivery, and the first day of life. Deliberate targeting of the poor, least educated, and rural women, through the scale-up of community-level interventions, is needed to improve equity and accelerate progress.FundingUS Fund for UNICEF, Bill & Melinda Gates Foundation.

Project description:The U.S. is the main country in the world that delivers its food assistance primarily via transoceanic shipments of commodity-based in-kind food. This approach is costlier and less timely than cash-based assistance, which includes cash transfers, food vouchers, and local and regional procurement, where food is bought in or nearby the recipient country. The U.S.'s approach is exacerbated by a requirement that half of its transoceanic food shipments need to be sent on U.S.-flag vessels. We estimate the effect of these U.S. food assistance distribution policies on child mortality in northern Kenya by formulating and optimizing a supply chain model. In our model, monthly orders of transoceanic shipments and cash-based interventions are chosen to minimize child mortality subject to an annual budget constraint and to policy constraints on the allowable proportions of cash-based interventions and non-US-flag shipments. By varying the restrictiveness of these policy constraints, we assess the impact of possible changes in U.S. food aid policies on child mortality. The model includes an existing regression model that uses household survey data and geospatial data to forecast the mean mid-upper-arm circumference Z scores among children in a community, and allows food assistance to increase Z scores, and Z scores to influence mortality rates. We find that cash-based interventions are a much more powerful policy lever than the U.S.-flag vessel requirement: switching to cash-based interventions reduces child mortality from 4.4% to 3.7% (a 16.2% relative reduction) in our model, whereas eliminating the U.S.-flag vessel restriction without increasing the use of cash-based interventions generates a relative reduction in child mortality of only 1.1%. The great majority of the gains achieved by cash-based interventions are due to their reduced cost, not their reduced delivery lead times; i.e., the reduction of shipping expenses allows for more food to be delivered, which reduces child mortality.

Project description:BackgroundThe global Immunisation Agenda 2030 highlights coverage and equity as a strategic priority goal to reach high equitable immunisation coverage at national levels and in all districts. We estimated inequities in full immunisation coverage associated with socioeconomic, geographic, maternal, child, and place of birth characteristics among children aged 12-23 months in Kenya.MethodsWe analysed full immunisation coverage (1-dose BCG, 3-dose DTP-HepB-Hib (diphtheria, tetanus, pertussis, hepatitis B and Haemophilus influenzae type B), 3-dose polio, 1-dose measles, and 3-dose pneumococcal vaccines) of 3943 children aged 12-23 months from the 2014 Kenya Demographic and Health Survey. We disaggregated mean coverage by socioeconomic (household wealth, religion, ethnicity), geographic (place of residence, province), maternal (maternal age at birth, maternal education, maternal marital status, maternal household head status), child (sex of child, birth order), and place of birth characteristics, and estimated inequities in full immunisation coverage using bivariate and multivariate logistic regression.ResultsImmunisation coverage ranged from 82% [81-84] for the third dose of polio to 97.4% [96.7-98.2] for the first dose of DTP-HepB-Hib, while full immunisation coverage was 68% [66-71] in 2014. After controlling for other background characteristics through multivariate logistic regression, children of mothers with primary school education or higher have at least 54% higher odds of being fully immunised compared to children of mothers with no education. Children born in clinical settings had 41% higher odds of being fully immunised compared to children born in home settings. Children in the Coast, Western, Central, and Eastern regions had at least 74% higher odds of being fully immunised compared to children in the North Eastern region, while children in urban areas had 26% lower odds of full immunisation compared to children in rural areas. Children in the middle and richer wealth quintile households were 43-57% more likely to have full immunisation coverage compared to children in the poorest wealth quintile households. Children who were sixth born or higher had 37% lower odds of full immunisation compared to first-born children.ConclusionsChildren of mothers with no education, born in home settings, in regions with limited health infrastructure, living in poorer households, and of higher birth order are associated with lower rates of full immunisation. Targeted programmes to reach under-immunised children in these subpopulations will lower the inequities in childhood immunisation coverage in Kenya.

Project description:Background: Kenya introduced the monovalent Rotarix® rotavirus group A (RVA) vaccine nationally in mid-2014. Long-term surveillance data is important prior to wide-scale vaccine use to assess the impact on disease and to investigate the occurrence of heterotypic strains arising through immune selection. This report presents baseline data on RVA genotype circulation patterns and intra-genotype genetic diversity over a 7-year period in the pre-vaccine era in Kilifi, Kenya, from 2002 to 2004 and from 2010 to 2013. Methods: A total of 745 RVA strains identified in children admitted with acute gastroenteritis to a referral hospital in Coastal Kenya, were sequenced using the di-deoxy sequencing method in the VP4 and VP7 genomic segments (encoding P and G proteins, respectively). Sequencing successfully generated 569 (76%) and 572 (77%) consensus sequences for the VP4 and VP7 genes respectively. G and P genotypes were determined by use of BLAST and the online RotaC v2 RVA classification tool. Results: The most common GP combination was G1P[8] (51%), similar to the Rotarix® strain, followed by G9P[8] (15%) , G8P[4] (14%) and G2P[4] (5%). Unusual GP combinations-G1P[4], G2P[8], G3P[4,6], G8P[8,14], and G12P[4,6,8]-were observed at frequencies of <5%. Phylogenetic analysis showed that the infections were caused by both locally persistent strains as evidenced by divergence of local strains occurring over multiple seasons from the global ones, and newly introduced strains, which were closely related to global strains. The circulating RVA diversity showed temporal fluctuations both season by season and over the longer-term. None of the unusual strains increased in frequency over the observation period. Conclusions: The circulating RVA diversity showed temporal fluctuations with several unusual strains recorded, which rarely caused major outbreaks. These data will be useful in interpreting genotype patterns observed in the region during the vaccine era.

Project description:BackgroundPoor access to immunisation services remains a major barrier to achieving equity and expanding vaccination coverage in many sub-Saharan African countries. In Kenya, the extent to which spatial access affects immunisation coverage is not well understood. The aim of this study was to quantify spatial accessibility to immunising health facilities and determine its influence on immunisation uptake in Kenya while controlling for potential confounders.MethodsSpatial databases of immunising facilities, road network, land use and elevation were used within a cost friction algorithim to estimate the travel time to immunising health facilities. Two travel scenarios were evaluated; (1) Walking only and (2) Optimistic scenario combining walking and motorized transport. Mean travel time to health facilities and proportions of the total population living within 1-h to the nearest immunising health facility were computed. Data from a nationally representative cross-sectional survey (KDHS 2014), was used to estimate the effect of mean travel time at survey cluster units for both fully immunised status and third dose of diphtheria-tetanus-pertussis (DPT3) vaccine using multi-level logistic regression models.ResultsNationally, the mean travel time to immunising health facilities was 63 and 40 min using the walking and the optimistic travel scenarios respectively. Seventy five percent of the total population were within one-hour of walking to an immunising health facility while 93% were within one-hour considering the optimistic scenario. There were substantial variations across the country with 62%(29/47) and 34%(16/47) of the counties with < 90% of the population within one-hour from an immunising health facility using scenarios 1 and 2 respectively. Travel times > 1-h were significantly associated with low immunisation coverage in the univariate analysis for both fully immunised status and DPT3 vaccine. Children living more than 2-h were significantly less likely to be fully immunised [AOR:0.56(0.33-0.94) and receive DPT3 [AOR:0.51(0.21-0.92) after controlling for household wealth, mother's highest education level, parity and urban/rural residence.ConclusionTravel time to immunising health facilities is a barrier to uptake of childhood vaccines in regions with suboptimal accessibility (> 2-h). Strategies that address access barriers in the hardest to reach communities are needed to enhance equitable access to immunisation services in Kenya.

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The introduction of new policies and strategies to reduce inequities and improve child health in Kenya: A country case study on progress in child survival, 2000-2013.

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The introduction of new policies and strategies to reduce inequities and improve child health in Kenya: A country case study on progress in child survival, 2000-2013.

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