Health trends, inequalities and opportunities in South Africa's provinces, 1990-2019: findings from the Global Burden of Disease 2019 Study

Background Over the last 30 years, South Africa has experienced four ‘colliding epidemics’ of HIV and tuberculosis, chronic illness and mental health, injury and violence, and maternal, neonatal, and child mortality, which have had substantial effects on health and well-being. Using data from the 2019 Global Burden of Diseases, Injuries and Risk Factors Study (GBD 2019), we evaluated national and provincial health trends and progress towards important Sustainable Development Goal targets from 1990 to 2019. Methods We analysed GBD 2019 estimates of mortality, non-fatal health loss, summary health measures and risk factor burden, comparing trends over 1990–2007 and 2007–2019. Additionally, we decomposed changes in life expectancy by cause of death and assessed healthcare system performance. Results Across the nine provinces, inequalities in mortality and life expectancy increased over 1990–2007, largely due to differences in HIV/AIDS, then decreased over 2007–2019. Demographic change and increases in non-communicable diseases nearly doubled the number of years lived with disability between 1990 and 2019. From 1990 to 2019, risk factor burdens generally shifted from communicable and nutritional disease risks to non-communicable disease and injury risks; unsafe sex remained the top risk factor. Despite widespread improvements in healthcare system performance, the greatest gains were generally in economically advantaged provinces. Conclusions Reductions in HIV/AIDS and related conditions have led to improved health since 2007, though most provinces still lag in key areas. To achieve health targets, provincial governments should enhance health investments and exchange of knowledge, resources and best practices alongside populations that have been left behind, especially following the COVID-19 pandemic

Health trends, inequalities and opportunities in South Africa's provinces, 1990-2019: findings from the Global Burden of Disease 2019 Study.

BACKGROUND: Over the last 30 years, South Africa has experienced four 'colliding epidemics' of HIV and tuberculosis, chronic illness and mental health, injury and violence, and maternal, neonatal, and child mortality, which have had substantial effects on health and well-being. Using data from the 2019 Global Burden of Diseases, Injuries and Risk Factors Study (GBD 2019), we evaluated national and provincial health trends and progress towards important Sustainable Development Goal targets from 1990 to 2019. METHODS: We analysed GBD 2019 estimates of mortality, non-fatal health loss, summary health measures and risk factor burden, comparing trends over 1990-2007 and 2007-2019. Additionally, we decomposed changes in life expectancy by cause of death and assessed healthcare system performance. RESULTS: Across the nine provinces, inequalities in mortality and life expectancy increased over 1990-2007, largely due to differences in HIV/AIDS, then decreased over 2007-2019. Demographic change and increases in non-communicable diseases nearly doubled the number of years lived with disability between 1990 and 2019. From 1990 to 2019, risk factor burdens generally shifted from communicable and nutritional disease risks to non-communicable disease and injury risks; unsafe sex remained the top risk factor. Despite widespread improvements in healthcare system performance, the greatest gains were generally in economically advantaged provinces. CONCLUSIONS: Reductions in HIV/AIDS and related conditions have led to improved health since 2007, though most provinces still lag in key areas. To achieve health targets, provincial governments should enhance health investments and exchange of knowledge, resources and best practices alongside populations that have been left behind, especially following the COVID-19 pandemic

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings: Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4–40·7) to 50·3% (50·0–50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1–46·5) in 2017, compared with 28·7% (28·5–29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2–89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664–711) of the 1830 (1797–1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6–80·7) of countries from 2000 to 2017, and in 53·9% (50·6–59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpretation: Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019 : A systematic analysis for the Global Burden of Disease Study 2019

Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC

Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (≥65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0–100 based on the 2·5th and 97·5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45·8 (95% uncertainty interval 44·2–47·5) in 1990 to 60·3 (58·7–61·9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2·6% [1·9–3·3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010–2019 relative to 1990–2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0·79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388·9 million (358·6–421·3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3·1 billion (3·0–3·2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968·1 million [903·5–1040·3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people—the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close—or how far—all populations are in benefiting from UHC

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019 : a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods: GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings: Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation: As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and developm nt investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding: Bill & Melinda Gates Foundation. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licens

Development of a roadmap for mainstreaming nutrition-sensitive interventions in Anambra and Kebbi States, Nigeria

Thesis (PhD)--Stellenbosch University, 2019.ENGLISH SUMMARY : Malnutrition, though on a slight decline, has continued to be a problem in developing countries. The role of nutrition-sensitivity sectors as a linkage between immediate causes and basic causes of malnutrition has been increasingly recognised in recent years as positively associated with malnutrition reduction. Considering the accumulating evidence pointing to a strong relationship between malnutrition reduction and nutrition-sensitive sectors, including agriculture, education, water, sanitation and hygiene (WASH), and social protection, mainstreaming nutrition into these sectors has been widely discussed, designed and implemented in programmes and policies. Large-scale government programmes in nutrition-sensitive sectors are important elements of delivering nutrition-sensitive malnutrition-preventive benefits to the population. Mainstreaming nutrition into these cross-cutting sectors becomes imperative in the fight for malnutrition reduction. The Mainstreaming Nutrition Initiative Assessment (MNIA) is a framework developed for the assessment of mainstreaming nutrition (Menon et al, 2011), which measures the domains of epidemiology, operational and political commitment. However, there has been little attempt to explore its application in mainstreaming nutrition. The aim of the study was to develop a roadmap for mainstreaming nutrition-sensitivity in Anambra and Kebbi States, Nigeria. The study used a four-phased convergent parallel mixed methods design. In Phase 1, small area estimation methodology was employed to estimate local government prevalence of stunting in Nigeria. Phase 2 was carried out in two stages, first, a nutrition-sensitivity and potential checklist were used to determine the current nutrition-sensitivity and possible potential of programme execution in the various sectors in both states. Subsequently, a theory-based process evaluation that employed key informant interviews, document reviews, and site observations were used to determine the operational factors influencing the implementation of the programmes. In Phase 3, a political commitment rapid assessment test was administered in a workshop to explore the political realities regarding nutrition and nutrition-sensitivity in the states. In Phase 4, the data and information from the previous phases were employed to develop a roadmap for mainstreaming nutrition-sensitivity in both states, which was also validated by the stakeholders. Data were analysed using qualitative thematic analysis and MAXQDA software. LGA stunting prevalence estimations varied across the states. Kebbi State had high state average accompanied by very high LGA stunting estimates. Stunting prevalence in Kebbi State ranged from 54 percent to 67 percent. While in Anambra State, the stunting prevalence ranged from 17 percent to 25 percent, both states were in WHO category of medium to high stunting prevalence. The programmes assessed were averagely nutrition-sensitive but most of them had excellent potential to be highly nutrition-sensitive. The agricultural programmes have the best implementation while programmes in the WASH sector were the weakest in terms of implementation. The process evaluation showed that the programmes’ theory was validly nutrition-sensitive. The programmes had varied implementation dimensions, while the Agricultural Transformation Agenda Programme had a very high dose, the programmes reach was minimal. Programmes such as the Environmental Sanitation and Early Childhood Development Education has wide reach but lower dose and implementation. With regards to political commitment, while Kebbi had high expressed commitment, this was supported with the poor institutional commitment, unlike Anambra where strong institutional commitment existed but lacked financial support. From these findings, a roadmap for mainstreaming nutrition-sensitivity was developed and most stakeholders agreed that the roadmap was implementable and feasible. Future investigation is needed to replicate the study in other states. In addition, following-up Anambra and Kebbi states with the implementation of the roadmap may shed more light on the dynamics and role of the various domains in nutrition-sensitive mainstreaming.AFRIKAANSE OPSOMMING : Wanvoeding, alhoewel daar ‘n effense afname gesien word, bly steeds 'n probleem in ontwikkelende lande. Verskeie staatsektore wat aktief is by die bewusmaking van voedingsgevoeligheid word as 'n skakel tussen die onmiddellike oorsake en basiese oorsake van wanvoeding erken. Hierdie rol hou positief verband met die vermindering van wanvoeding. Met die inagneming van verskeie bewyse wat dui op 'n sterk verhouding tussen wanvoedingvermindering en voedingsgevoelige sektore, insluitend landbou, opvoeding, water, sanitasie en higiëne, en sosiale beskerming, is die integrasie van voeding in hierdie sektore wyd bespreek, ontwerp en geïmplementeer in programme en beleide. Grootskaalse regerings programme in voedingsgevoelige sektore is belangrike elemente vir die lewering van voedingsgevoelige, wanvoeding-voorkomende voordele aan die bevolking. Die integrasie van voeding in hierdie sektore word noodsaaklik in die stryd teen wanvoeding. Die integrasie-voedingsinisiatief-assessering is 'n raamwerk wat ontwikkel is vir die assessering van integrasie voeding (Menon et al, 2011), wat die gebiede van epidemiologie, operasionele en politieke verbintenis meet. Daar is egter min pogings om die toepassing daarvan in die integrasie van voeding te ondersoek. Die doel van die studie was om 'n raamwerk te ontwikkel vir die integrasie van voedingsgevoeligheid in die Anambra en Kebbi state van Nigerië. Die gemengde metodes benadering is gebruik tydens die navorsings ontwerp. In Fase 1 is klein area beramingsmetodologie gebruik om die plaaslike regering se voorkoms van verdwerging in Nigerië te skat. Fase 2 is in twee fases uitgevoer. Eerstens is 'n voedingsgevoeligheid en potensiële voedingsgevoeligheid kontrolelys gebruik om die huidige voedingsgevoeligheid en die potensiaal van programuitvoering in die verskillende sektore in beide state te bepaal. Vervolgens is 'n teoriegebaseerde prosesevaluering gedoen, met die hulp van sleutel-informantonderhoude, dokumentresensies en besoeke, om die operasionele faktore wat die implementering van die programme beïnvloed, te bepaal. In Fase 3 is 'n politieke toewydings assesseringstoets toegepas om die politieke realiteite rakende voedings- en voedingsgevoeligheid in die state te ondersoek. In Fase 4 is die data en inligting van die vorige fases aangewend om 'n raamwerk te ontwikkel vir die integrasie van voedingsgevoeligheid in beide state, wat ook deur die belanghebbendes bekragtig is. Data is geanaliseer met behulp van kwalitatiewe tematiese analise en MAXQDA sagteware. Skattings van die voorkoms van verdwerging wissel tussen die state. Kebbi het 'n hoë staatsgemiddeld, vergesel met baie hoë plaaslike regerings area-ramings. Voorvalle van verdwerging in Kebbi wissel tussen 54 persent en 67 persent. In Anambra het die voorvalle tussen 17 en 25 persent gewissel. Albei lande was in die Wereld Gesondheid Organisasie se medium tot hoë kategorie van verdwerging voorkoms. Die beoordeelde programme was gemiddeld voedingsgevoelig, maar die meeste van hulle het uitstekende potensiaal om hoogs voedingsgevoelig te wees. Die landbouprogramme het die beste implementering getoon, terwyl programme in die WASH-sektor (water, sanitasie en higiëne) die swakste gevaar het in terme van implementering. Die prosesevaluering het getoon dat die programme teoreties voedingsgevoelig was. Die programme het uiteenlopende implementeringsdimensies gehad, terwyl die Program vir Landbou Transformasie Agenda 'n groot impak gehad het, was die omvang van die programme minimaal. Programme soos die Omgewings Sanitasie- en Vroeë kinderontwikkelings programme het wye omvang, maar laer impak en implementering getoon. Met betrekking tot politieke verbintenis het Kebbi groot betrokkenheid uitgespreek, maar is ondersteun deur swak institusionele toewyding. In Anambra was daar weer sterk institusionele toewyding, maar geen finansiële ondersteuning nie. Uit hierdie bevindings is 'n raamwerk vir die integrasie van voedingsgevoeligheid ontwikkel en die meeste belanghebbendes het ooreengekom dat die raamwerk implementeerbaar en haalbaar is. Verdere navorsing is nodig om die studie in ander lande te herhaal. Daarbenewens kan die opvolg van Anambra en Kebbi-state, na die implementering van die raamwerk, meer lig werp op die dinamika en rol van die verskillende sektore in voedingsgevoelige integrasie.Doctora

Validation of a roadmap for mainstreaming nutrition-sensitive interventions at state level in Nigeria

Abstract Background National programs are often developed with little consideration to the sub-national local factors that might affect program success. These factors include political support, capacity for implementation of program and variation in malnutrition indices being tackled. State context factors are evident in the distribution of malnutrition (e.g. high prevalence or gap among Local Government Areas), in the implementation of nutrition-sensitive interventions (e.g. access to early childhood education) and in the political economic context (e.g. presence of external funding agencies). Context is shaped by the economy, population, religion, and poverty, which impact everyday lives. Considering these contexts, a roadmap was developed and validated. The aim of this paper is to report expert review and stakeholder validation to determine feasibility of the developed contextualised roadmap for two Nigerian states. Methods A validation tool was developed and reviewed using three experts. The content review occurred in two rounds to obtain recommendation and revisions of the developed roadmap and the validation tool. A pilot test of the roadmap and validation tool was done using two stakeholders in South Africa. The roadmap and the validation tool were then sent to the stakeholders and potential end-users in Nigeria using electronic media. Two research assistants were also engaged to deliver and collect hard copies to those who preferred it. Results Of the ten stakeholders invited, nine responded. All participants showed an adequate understanding of the roadmap as evidenced by the scores given. Responses regarding the translation of the roadmap to implementation varied. The majority (86,6%) either strongly agreed or agreed that the actions were translatable (43.0 and 43.6% respectively). Conclusions The final roadmap comprises of actions that are appropriate for the state’s context. It is recommended that stakeholders or end-users of any programme must be involved in the validation of such contextual programmes to improve chances of success