Drivers of stunting reduction in Nepal: a country case study

Exploring methods for assessing stakeholder perspectives in Scaling-Up Nutrition (SUN) countries: a scoping review

OBJECTIVES

The scaling-up nutrition (SUN) initiative, which was launched in 2010 to eradicate malnutrition in all its forms by 2030, collaborates with a diverse range of stakeholders, such as governments, non-governmental organisations (NGOs), donors, businesses and academia. Given the widespread adoption of this multisectoral approach, it is crucial to explore methods for evaluating the perspectives of multiple stakeholders in child undernutrition topics.

DESIGN

This scoping review was carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist.

DATA SOURCES

Six peer-reviewed databases, including PubMed, Web of Science, Cochrane, Embase, CINAHL and PROQUEST ASSIA, were systematically searched.

ELIGIBILITY CRITERIA

Original English studies published between 1 January 2010 and 1 June 2023, focusing on undernutrition in SUN countries.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently screened titles, abstracts and full texts for inclusion and extracted data using Rayyan.

RESULTS

Out of the 4533 articles, 19 met the inclusion criteria for the review, and 5 more were added through manual searches. These studies were conducted in 14 SUN countries, with 62% using mixed methods and the remaining using qualitative methods. Six methods were used to gather stakeholder perspectives, including in-depth interviews, focus group discussions, Net-Map, organisational network analysis and Q methodology. Most studies focused on government, development partners and NGOs, while only two studies involved the business network.

CONCLUSIONS

Our study indicates that study on stakeholder perspectives in SUN countries focuses mainly on those showing progress in malnutrition/undernutrition reduction. Future research should explore countries with less progress to improve partnership frameworks. The SUN movement should establish a standard method for evaluating stakeholder perspectives, considering both outcomes and processes.

TRIAL REGISTRATION NUMBER

The final protocol was registered prospectively with the Open Science Framework in July 2023 (https://osf.io/te7cb).

What works for reducing stunting in low-income and middle-income countries? Cumulative learnings from the Global Stunting Exemplars Project

BACKGROUND

Impaired linear growth and stunting in children under 5 y is a marker of multiple deprivations in low-income and middle-income countries.

OBJECTIVES

We aimed to assess drivers and policies influencing improvements in linear growth and stunting reduction in 10 countries with annual rates of reduction in childhood stunting averaging 1.1% (range: 0.4%-1.7%) at national-level or subnational-level, and to improve a framework of action for other countries to follow.

METHODS

We used mixed methods to assess trends and patterns of improvement in linear growth in children under 5 y using available household-level data and in-depth analysis of programs and their implementation. We assessed patterns of change with multivariate regression analyses of risk factors driving stunting and affecting change. We compared results from the Oaxaca-Blinder decomposition analyses using a hierarchical approach and retrospectively assessed the appropriateness of a previously proposed 10-step process for country-level planning and implementation processes. Limited data precluded robust serial assessment of dietary intake at individual level for children and mothers.

RESULTS

Rapid reduction in childhood stunting is possible and findings across exemplar countries underscore the benefits of indirect and direct interventions in health and other social sectors. These include programs focusing on poverty alleviation; water, sanitation, and hygiene; promotion of girls' education and empowerment; and maternal nutrition. The potential benefits of family planning programs and factors contributing to gains in maternal nutrition were noted. In malarial endemic areas, malaria control programs were associated with improved childhood growth, and patterns of growth indicated continued benefits of childhood disease prevention and management strategies.

CONCLUSIONS

A systematic, evidence-informed approach to improve maternal and child health and nutrition is feasible and, with targeting, can accelerate reduction in linear growth faltering in childhood.

A mixed-methods study of the drivers of stunting reduction among children under-5 in Sierra Leone, 2005-2017

BACKGROUND

Childhood stunting prevalence declined dramatically in Sierra Leone after the end of the civil war in 2002, despite major challenges of postwar recovery and the West Africa Ebola epidemic in 2014-2016.

OBJECTIVES

This study aims to identify the factors associated with declining stunting prevalence among children under-5 in Sierra Leone between 2005 and 2017.

METHODS

Mixed methods including literature review, primary qualitative research, narrative policy and program review, and secondary analysis of household survey data on children under-5 with valid height-for-age z-scores (HAZ) (n = 4915 in 2005, n = 7736 in 2010, and n = 11,447 in 2017), including Oaxaca-Blinder decomposition analysis.

RESULTS

Under-5 stunting prevalence declined from 46.9% in 2005 to 26.4% in 2017 and mean HAZ increased from -1.75 to -1.13, with some narrowing of inequalities in child growth by wealth, maternal education, and sex, but not between urban and rural children. Stakeholders highlighted several policies and programs that evidenced government commitment to improving maternal and child health and nutrition and likely contributed to improved child growth over time, including the Free Health Care Initiative introduced in 2010. Our quantitative modeling predicted only 29% of the observed 0.62 HAZ increase over the study period but highlighted expanded coverage of antenatal care, increased urbanization, and increased household wealth as key drivers of nutritional change over time.

CONCLUSIONS

Rapid reduction in under-5 stunting in Sierra Leone coincided with strong economic growth and declining urban poverty, along with high-profile health and development policies supported by external partners that targeted and/or benefited poorer and rural populations especially. Had the Ebola and COVID-19 epidemics not occurred, positive pre-2014 trajectories in child growth and other maternal and child health and nutrition outcomes in Sierra Leone may well have continued, yielding gains even larger than those observed over the study period.

A mixed-methods study of the drivers of stunting reduction among children under five in Nigeria, 2008-2018

BACKGROUND

Although stunting reduction at the national level in Nigeria has been modest in recent decades, especially considering the country's rapid economic growth, there is much subnational variation.

OBJECTIVES

The objective of this study was to identify the factors associated with declining stunting prevalence in those states in Nigeria where the most progress was made between 2008 and 2018.

METHODS

This mixed-methods study included quantitative analysis of household survey data using regression-based Oaxaca-Blinder decomposition analysis to identify factors associated with a change in mean height-for-age z-score (HAZ) over time; deductive thematic analysis of qualitative data collected through key informant interviews and focus group discussions; and policy and program review.

RESULTS

Improvement in child linear growth over the past decade is evident in exemplar states in both the north and south of Nigeria, driven largely by the same factors. Our modeling predicted 66% of the observed +0.25 increase in mean HAZ over time in exemplar states, with nearly 60% of the predicted increase associated with improvements in non-health sector factors: parental education (43%), household wealth (8%), and household sanitation (3%). Malaria prevention was associated with an additional 29% of the predicted HAZ change. Qualitative participants highlighted insecurity, poverty, and lower education levels in some parts of the country as barriers to improving child health and nutritional status, along with insufficient human resources for health despite an increase in the number of healthcare facilities in the country. Participants identified a range of policies and programs across multiple sectors as having likely contributed to the decline in stunting prevalence.

CONCLUSIONS

A multisectoral approach to stunting reduction in Nigeria appears to have been key, with progress having been driven by both the health sector and, especially, non-health sector action.

Correlations between family characteristics and childcare in optimizing the growth of children under six years

BACKGROUND

Families have a the primary influence on children. In particular, excellent childcare in the family is assumed to correlate with children's health status, growth, and development. Hence, some family factors contribute to the optimization of childcare. This study aims to analyze family characteristics that correlate with childcare for children under six in Indonesia.

METHODS

The data collection instrument used was a Performance and Accountability Survey Program (SKAP) questionnaire of the National Population and Family Planning Board for Indonesia to assess family function in children's health development in a sample of 7,651 parents, mothers, and/or fathers of children under six years of age. Childcare was the outcome variable. In addition, the chi-square test and logistic regression were used for statistical analysis.

RESULTS

The results showed a significant correlation between parents' education, family health insurance ownership, number of toddlers, preschool age children and media exposure to health with family parenting patterns that influence children's health. Meanwhile, parental age and parents occupation did not significantly contribute to childcare quality. Multivariate analysis showed that older age (particularly 20-34 years), exposure to media about health, family without health insurance, and parents with more than two toddlers and pre-school age were associated with better childcare.

CONCLUSIONS

Several family characteristics were significantly associated with childcare for children under six, including health media exposure, older parental age (particularly 20-34 years), do not have family health insurance and have more than two toddlers and pre-school age children. These things contribute to the fulfilment of nutrition and exclusive breastfeeding, parenting patterns, and providing access to health services for children in the family.

ETHICS APPLICATION NUMBER

The data were approved by the National Population and Family Planning Board for Indonesia Ethical Review Institutions number 454/LB.02/H4/2019.

The role of national nutrition programs on stunting reduction in Rwanda using machine learning classifiers: a retrospective study

BACKGROUND

In Rwanda, the prevalence of childhood stunting has slightly decreased over the past five years, from 38% in 2015 to about 33% in 2020. It is evident whether Rwanda's multi-sectorial approach to reducing child stunting is consistent with the available scientific knowledge. The study was to examine the benefits of national nutrition programs on stunting reduction under two years in Rwanda using machine learning classifiers.

METHODS

Data from the Rwanda DHS 2015-2020, MEIS and LODA household survey were used. By evaluating the best method for predicting the stunting reduction status of children under two years old, the five machine learning algorithms were modelled: Support Vector Machine, Logistic Regression, K-Near Neighbor, Random Forest, and Decision Tree. The study estimated the hazard ratio for the Cox Proportional Hazard Model and drew the Kaplan-Meier curve to compare the survivor risk of being stunted between program beneficiaries and non-beneficiaries. Logistic regression was used to identify the nutrition programs related to stunting reduction. Precision, recall, F1 score, accuracy, and Area under the Curve (AUC) are the metrics that were used to evaluate each classifier's performance to find the best one.

RESULTS

Based on the provided data, the study revealed that the early childhood development (ECD) program (p-value = 0.041), nutrition sensitive direct support (NSDS) program (p-value = 0.03), ubudehe category (p-value = 0.000), toilet facility (p-value = 0.000), antenatal care (ANC) 4 visits (p-value = 0.002), fortified blended food (FBF) program (p-value = 0.038) and vaccination (p-value = 0.04) were found to be significant predictors of stunting reduction among under two children in Rwanda. Additionally, beneficiaries of early childhood development (p  < .0001), nutrition sensitive direct support (p = 0.0055), antenatal care (p = 0.0343), Fortified Blended Food (p = 0.0136) and vaccination (p = 0.0355) had a lower risk of stunting than non-beneficiaries. Finally, Random Forest performed better than other classifiers, with precision scores of 83.7%, recall scores of 90.7%, F1 scores of 87.1%, accuracy scores of 83.9%, and AUC scores of 82.4%.

CONCLUSION

The early childhood development (ECD) program, receiving the nutrition sensitive direct support (NSDS) program, focusing on households with the lowest wealth quintile (ubudehe category), sanitation facilities, visiting health care providers four times, receiving fortified blended food (FBF), and receiving all necessary vaccines are what determine the stunting reduction under two among the 17 districts of Rwanda. Finally, when compared to other models, Random Forest was shown to be the best machine learning (ML) classifier. Random forest is the best classifier for predicting the stunting reduction status of children under two years old.

Drivers of success in global health outcomes: A content analysis of Exemplar studies

Applying a positive outlier lens is one effective approach for generating evidence to inform global health policy, program, and funding decisions. Exemplars in Global Health (EGH) is a program that studies positive outlier countries that have made extraordinary progress in health outcomes (despite limited resources) and disseminates their successes through multiple types of outputs. To date, EGH has studied, or is studying, 14 global health topics in 28 countries. This paper aims to identify findings, summarized as themes and sub-themes, that appear among all completed EGH studies. We developed a conceptual framework and used a content analysis approach to identify the top thematic areas that appear as drivers for programmatic success across EGH studies that were completed between June 2020-May 2023. The EGH studies (N = 31) spanned six topics including under-five child mortality (n = 6), childhood stunting (n = 5), community health workers (CHW) (n = 4), vaccine delivery (n = 3), COVID-19 response (n = 6), and newborn and maternal mortality reduction (n = 7) across 19 countries in sub-Saharan Africa, Latin America, South and Central Asia, and the Caribbean regions. Top drivers of success were defined as those critical or catalytic in achieving the intended outcome. Eight key drivers were identified: (1) efficient data collection and use for decision-making, (2) strong political commitment and health leadership, (3) effective stakeholder coordination, (4) a local, connected, and capacitated workforce, (5) intentional women's empowerment and engagement, (6) effective adoption and implementation of national policies, (7) effective and sustainable financing, and (8) equitable, efficient outreach and targeting. These cross-cutting drivers span a broad range of development outcomes, sectors, and populations, and indicate a need to effectively integrate people, systems, and sectors to improve global health outcomes. Findings from this study aim to support peer learning among countries and support evidence-based decision-making for funders, policymakers, and other key stakeholders.

Increased utilisation and quality: a focus on inequality and a learning health system approach-explaining Nepal's success in reducing maternal and newborn mortality 2000-2020

INTRODUCTION

Maternal mortality in Nepal dropped from 553 to 186 per 100 000 live births during 2000-2017 (66% decline). Neonatal mortality dropped from 40 to 21 per 1000 live births during 2000-2018 (48% decline). Stillbirths dropped from 28 to 18 per 1000 births during 2000-2019 (34% decline). Nepal outperformed other countries in these mortality improvements when adjusted for economic growth, making Nepal a 'success'. Our study describes mechanisms which contributed to these achievements.

METHODS

A mixed-method case study was used to identify drivers of mortality decline. Methods used included a literature review, key-informant interviews, focus-group discussions, secondary analysis of datasets, and validation workshops.

RESULTS

Despite geographical challenges and periods of political instability, Nepal massively increased the percentage of women delivering in health facilities with skilled birth attendance between 2000 and 2019. Although challenges remain, there was also evidence in improved quality and equity-of-access to antenatal care and childbirth services. The study found policymaking and implementation processes were adaptive, evidence-informed, made use of data and research, and involved participants inside and outside government. There was a consistent focus on reducing inequalities.

CONCLUSION

Policies and programmes Nepal implemented between 2000 and 2020 to improve maternal and newborn health outcomes were not unique. In this paper, we argue that Nepal was able to move rapidly from stage 2 to stage 3 in the mortality transition framework not because of what they did, but how they did it. Despite its achievements, Nepal still faces many challenges in ensuring equal access to quality-care for all women and newborns.

Learning from Ethiopia's success in reducing maternal and neonatal mortality through a health systems lens

BACKGROUND

This study aimed to enhance insights into the key characteristics of maternal and neonatal mortality declines in Ethiopia, conducted as part of a seven-country study on Maternal and Newborn Health (MNH) Exemplars.

METHODS

We synthesised key indicators for 2000, 2010 and 2020 and contextualised those with typical country values in a global five-phase model for a maternal, stillbirth and neonatal mortality transition. We reviewed health system changes relevant to MNH over the period 2000-2020, focusing on governance, financing, workforce and infrastructure, and assessed trends in mortality, service coverage and systems by region. We analysed data from five national surveys, health facility assessments, global estimates and government databases and reports on health policies, infrastructure and workforce.

RESULTS

Ethiopia progressed from the highest mortality phase to the third phase, accompanied by typical changes in terms of fertility decline and health system strengthening, especially health infrastructure and workforce. For health coverage and financing indicators, Ethiopia progressed but remained lower than typical in the transition model. Maternal and neonatal mortality declines and intervention coverage increases were greater after 2010 than during 2000-2010. Similar patterns were observed in most regions of Ethiopia, though regional gaps persisted for many indicators. Ethiopia's progress is characterised by a well-coordinated and government-led system prioritising first maternal and later neonatal health, resulting major increases in access to services by improving infrastructure and workforce from 2008, combined with widespread community actions to generate service demand.

CONCLUSION

Ethiopia has achieved one of the fastest declines in mortality in sub-Saharan Africa, with major intervention coverage increases, especially from 2010. Starting from a weak health infrastructure and low coverage, Ethiopia's comprehensive approach provides valuable lessons for other low-income countries. Major increases towards universal coverage of interventions, including emergency care, are critical to further reduce mortality and advance the mortality transition.

The costs of Suaahara II, a complex scaled-up multisectoral nutrition programme in Nepal

Limited evidence exists on the costs of scaled-up multisectoral nutrition programmes. Such evidence is crucial to assess intervention value and affordability. Evidence is also lacking on the opportunity costs of implementers and participants engaging in community-level interventions. We help to fill this gap by estimating the full financial and economic costs of the United States Agency for International Development-funded Suaahara II (SII) programme, a scaled-up multisectoral nutrition programme in Nepal (2016-2023). We applied a standardized mixed methods costing approach to estimate total and unit costs over a 3.7-year implementation period. Financial expenditure data from national and subnational levels were combined with economic cost estimates assessed using in-depth interviews and focus group discussions with staff, volunteers, community members, and government partners in four representative districts. The average annual total cost was US$908,948 per district, with economic costs accounting for 47% of the costs. The annual unit cost was US$132 per programme participant (mother in the 1000-day period between conception and a child's second birthday) reached. Annual costs ranged from US$152 (mountains) to US$118 (plains) per programme participant. Personnel (63%) were the largest input cost driver, followed by supplies (11%). Community events (29%) and household counselling visits (17%) were the largest activity cost drivers. Volunteer cadres contributed significant time to the programme, with female community health volunteers spending a substantial amount of time (27 h per month) on SII activities. Multisectoral nutrition programmes can be costly, especially when taking into consideration volunteer and participant opportunity costs. This study provides much-needed evidence of the costs of scaled-up multisectoral nutrition programmes for future comparison against benefits.

Evaluating preschool linear growth velocities: an interim reference illustrated in Nepal

OBJECTIVE

An annualised linear growth velocity (LGV) reference can identify groups of children at risk of growing poorly. As a single velocity reference for all preschool ages does not exist, we present an interim tool, derived from published, normative growth studies, for detecting growth faltering, illustrating its use in Nepali preschoolers.

DESIGN

The WHO Child Growth Velocity Standard was adapted to derive 12-month increments and conjoined to the Tanner-Whitehouse Height Velocity Reference data yielding contiguous preschool linear growth annualised velocities. Linear restricted cubic spline regressions were fit to generate sex-specific median and standard normal deviate velocities for ages 0 through 59 months. LGV Z-scores (LGVZ) were constructed, and growth faltering was defined as LGVZ < –2.

SETTING

Use of the reference was illustrated with data from Nepal’s Tarai region.

PARTICIPANTS

Children contributing the existing growth references and a cohort of 4276 Nepali children assessed from 2013 to 2016.

RESULTS

Fitted, smoothed LGV reference curves displayed monotonically decreasing 12-month LGV, exemplified by male/female annual medians of 26·4/25·3, 12·1/12·7, 9·1/9·4, 7·7/7·8 and 7/7 cm/years, starting at 0, 12, 24, 36 and 48 months, respectively. Applying the referent, 31·1 %, 28·6 % and 29·3 % of Nepali children <6, 6–11 and 12–23 months of age, and ∼6 % of children 24–59 months, exhibited growth faltering. Under 24 months, faltering velocities were more prevalent in girls (34·4 %) than boys (25·3 %) (P < 0·05) but comparable (∼6 %) in older preschoolers.

CONCLUSIONS

A LGV reference, concatenated from extant data, can identify preschool groups at-risk of growth faltering. Application and limitations are discussed.

Spatial distribution of stunting and wasting in 6-59 months children in Nepal: analysis using a Bayesian distributional bivariate probit model

The combined burden of stunting and wasting in children under five years is a serious public health concern. The present study aimed to estimate the joint burden of stunting and wasting among children aged 6-59 months and explore its spatial variation across Nepal. The 2016 Nepal Demographic and Health Survey data was used to study acute and chronic childhood malnutrition. A Bayesian distributional bivariate probit geoadditive model was designed to study the linear association and geographical variation of stunting and wasting among 6-59 months, children. Child-related factors such as low birth weight, fever in the last 2 weeks preceding the survey and fourth or greater birth order were associated with a higher likelihood of stunting. The likelihood of a child being stunted was significantly less in the wealthiest households, having improved toilet facilities, and if mothers were overweight. Children from severely food insecure households were significantly more likely, and children from poorer households were significantly less likely to suffer both acute and chronic malnutrition simultaneously. Results from spatial effect showed that children from Lumbini and Karnali had a higher burden of stunting, and the likelihood that achild would have been wasted was significantly higher in Madhesh and Province 1. Immediate nutritional efforts are vital in low-income and severely food insecure households to lessen the risk of stunting and wasting in under children. Disproportionate geographic variations in stunting and wasting warrant sub-regional-specific nutrition intervention to achieve nutrition targets and reduce the burden of childhood malnutrition across the country.

Improving the precision of maternal, newborn, and child health impact through geospatial analysis of the association of contextual and programmatic factors with health trends in Bihar, India

Background

There is a scarcity of research that comprehensively examines programme impact from a context-specific perspective. We aimed to determine the conditions under which the Bihar Technical Support Programme led to more favourable outcomes for maternal and child health in Bihar.

Methods

We obtained block-level data on maternal and child health indicators during the state-wide scale-up of the pilot Ananya programme and data on health facility readiness, along with geographical and sociodemographic variables. We examined the associations of these factors with increases in the levels of indicators using multilevel logistic regression, and the associations with rates of change in the indicators using Bayesian Hierarchical modelling.

Results

Frontline worker (FLW) visits between 2014-2017 were more likely to increase in blocks with better night lighting (odds ratio (OR) = 1.23, 95% confidence interval (CI) = 1.01-1.51). Birth preparedness increased in blocks with increasing FLW visits (OR = 3.43, 95% CI = 1.15-10.21), while dry cord care practice increased in blocks where satisfaction with FLW visits was increasing (OR = 1.52, 95% CI = 1.10-2.11). Age-appropriate frequency of complementary feeding increased in blocks with higher development index (OR = 1.55, 95% CI = 1.16-2.06) and a higher percentage of scheduled caste or tribe (OR = 3.21, 95% CI = 1.13-9.09). An increase in most outcomes was more likely in areas with lower baseline levels.

Conclusions

Contextual factors (eg, night lighting and development) not targeted by the programme and FLW visits were associated with favourable programme outcomes. Intervention design, including intervention selection for a particular geography, should be modified to fit the local context in the short term. Expanding collaborations beyond the health sector to influence modifiable contextual factors in the long term can result in a higher magnitude and more sustainable impact.

Registration

ClinicalTrials.gov: NCT02726230.

Implementation Outcomes of National Convergence Action Policy to Accelerate Stunting Prevention and Reduction at the Local Level in Indonesia: A Qualitative Study

The study aims to explore the implementation outcome variables of Indonesia's national policy convergence action in the stunting reduction intervention at district, sub-district, and village levels. The study design was qualitative with an implementation research approach at District Cirebon, Indonesia. Data were collected through in-depth interviews, focus group discussions, study documents, and 6 months of participant observation. We recruited 172 respondents. The assessment instrument used was formed on was implementation outcomes variables. Data were analyzed through coding, categorizing and thematic content analysis based on a predetermined theme. Comparative cross district activity-site analysis was applied between sub-districts and villages. The implementation outcome variables for the convergence action policy were performed well at the district level, in line with the central government's adequate regulation, control, and budget. Meanwhile, the sub-district and village levels only performed aspects of acceptability, appropriateness, and coverage for specific interventions. The acceptability level in the village was only partially running. The barriers at the sub-district and village levels were issues of commitment, staff capacity, and poor coordination. Superficial understanding and capacity weaknesses drove the convergence of the stunting reduction responsibility back into the burden of the health sector at the forefront. Local politics also colored the implementation in the village.

Poor and non-poor gap in under-five child nutrition: a case from Nepal using Blinder-Oaxaca decomposition approach

INTRODUCTION

Many low-and middle-income countries (LMICs) have improved health indicators in the past decades, however, there is a differential in outcomes between socioeconomic groups. Systematic analysis of drivers of child nutrition gap between non-poor and poor groups has a policy relevance in Nepal and other countries to make progress towards universal health coverage (UHC). The objective of this paper was to estimate the mean height-for-age z scores (HAZ) gap between under-five children belonging to non-poor and poor groups, divide the gap into components (endowments, coefficients and interaction), and identify the factors that contributed most to each of the component.

METHODS

Information about 6277 under-five children was extracted from the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. HAZ was used to assess nutritional status of children. Wealth index was used to categorize children into non-poor and poor. Mean HAZ gap between groups was decomposed using Blinder-Oaxaca technique into components: endowments (group difference in levels of predictors), coefficients (group difference in effects of predictors), and interaction (group difference due to interaction between levels and effects of predictors). Detailed decomposition was carried out to identify the factors that contributed most to each component.

RESULTS

There was a significant non-poor and poor gap in nutrition outcome measured in HAZ (0.447; p < 0.001) among under-five children in Nepal. The between-group mean differences in the predictors of study participants (endowments) contributed 0.210 (47%) to the gap. Similarly, the between-group differences in effects of the predictors (coefficients) contributed 0.308 (68.8%) towards the gap. The interaction contributed -0.071 (15.8%) towards minimizing the gap. The predictors/variables that contributed most towards the gap due to (i) endowments were: maternal education, province (Karnali, Sudurpaschim, Madhesh), residence (rural/urban), type of toilet facility and ethnic group (Dalit and Muslim); (ii) coefficients were: number of under-five children in family, ethnic group (Dalit and Muslim), type of toilet facility, maternal age and education.

CONCLUSION

Decomposition of the child nutrition gap revealed that narrowing the inequality between wealth groups depends not only on improving the level of the predictors (endowments) in the poor group but also on reducing differential effects of the predictors (coefficients).

Enhancing the resilience of food production systems for food and nutritional security under climate change in Nepal

Background

Climate change in Nepal has posed a considerable challenge to agricultural productivity and has threatened food and nutritional security at multiple levels. This study aims to assess the impacts of climate change on national food production and food and nutritional security as well as document issue-based prioritized adaptation options for a resilient food production system.

Methods

This study considers temperature, precipitation, and their anomalies as the key factors affecting food production in Nepal. Nationwide precipitation trends along with their association with the annual production of major cereal crops in Nepal were assessed using data from the last three decades (1990–2018). The annual productions of the major cereal crops were summed and normalized to calculate the production index scores in the districts. Scores were plotted and visualized into maps using the Geographical Information System. In three ecological regions, the distribution of flood and extreme rainfall events and cases of malnutrition from 2005 to 2018 were plotted. The effects of climate change and highest priority adaptation options at the district level were documented through a review of national policies and literature studies and qualitative research based on Focus Group Discussions (FGDs).

Results

Between 1990 and 2018, the overall average production of major cereal crops in Nepal was increased by around 2,245 MT annually. In the district level index analysis, the highest production score was found for Jhapa and Morang while the lowest production score was found for Humla. Cases of malnutrition in some districts coincided with flood and heavy rainfall events, indicating that climate change and extreme climatic events have a role to play in food production and security. Growing drought-tolerant crops, changes in crop cycle, riverbed farming practices, developing short-term strategies, such as contingency crop planning, changing planting dates, planting short duration varieties, schemes evacuation, and long-term strategies, such as encouraging out-migration of population to safer locations, resettlement programs with transformative livelihood options, and sustainable agricultural practices were found to be key prioritized adaptation measures for a resilient food production system.

Conclusion

In Nepal, climate change and the increasing frequency and magnitude of extreme climatic events adversely affect the food production system, which has become a serious threat to food and nutritional security. The implementation of evidence-based practices to build a resilient food system specific to climate-vulnerable hotspots at the district and local levels is the nation's current need.

Stunting among children under two years in Indonesia: Does maternal education matter?

BACKGROUND

Measuring height for age is one of the essential indicators for evaluating children's growth. The study analyzes the association between maternal education and stunting among children under two years in Indonesia.

METHODS

The study employed secondary data from the 2017 Indonesia Nutritional Status Monitoring Survey. The unit of analysis was children under two years, and the study obtained weighted samples of 70,293 children. Besides maternal education, other independent variables analyzed in this study were residence, maternal age, maternal marital status, maternal employment, children's age, and gender. In the final stage, the study occupied a multivariate test by binary logistic regression test.

RESULTS

The results show the proportion of stunted children under two years in Indonesia nationally is 20.1%. Mothers in primary school and under education categories are 1.587 times more likely than mothers with a college education to have stunted children under two years (95% CI 1.576-1.598). Meanwhile, mothers with a junior high school education have a chance of 1.430 times more than mothers with a college education to have stunted children under two years (95% CI 1.420-1.440). Moreover, mothers with education in the senior high school category have 1.230 times more chances than mothers with a college education to have stunted children under two years (95% CI 1.222-1.238).

CONCLUSION

The study concluded that the maternal education level was associated with stunting children under two years in Indonesia. The lower the mother's level of education, the higher the chances of a mother having stunted children under two years.

Women's extreme seclusion during menstruation and children's health in Nepal

There is limited empirical evidence from low-income countries on the effects of women's seclusion during menstruation on children's health. The objective of the current study was to examine the association between women's extreme seclusion during menstruation and their children's nutritional status and health in Nepal. Using nationally representative data from the 2019 Multiple Indicator Cluster Survey, we examined the relationship between mother's exposure to extreme forms of seclusion during menstruation and anthropometric measures of nutritional status and health outcomes among children ages 5-59 months (n = 6,301). We analyzed the data in a regression framework, controlling for potential confounders, including province fixed effects. We assessed extreme seclusion during menstruation based on women's exposure to chhaupadi, a practice in which women are forced to stay away from home-in separate huts or animal sheds-during menstruation and childbirth. Mothers' exposure to extreme seclusion during menstruation was associated with 0.18 standard deviation lower height-for-age z-scores (HAZ) (p = 0.046) and 0.20 standard deviation lower weight-for-age z-scores (WAZ) (p = 0.007) among children. Analysis by the place of seclusion showed that the negative association was stronger when women stayed in animal sheds-0.28 SD for HAZ (p = 0.007) and 0.32 SD for WAZ (p<0.001)-than when they stayed in separate huts. Extreme seclusion was associated with higher incidence of acute respiratory symptoms but not with incidence of diarrhea, irrespective of the place of seclusion. Women's extreme seclusion during menstruation in Nepal has profound implications on the physical health of their children. Additional research is needed to ascertain potential mechanisms.

High coverage but low quality of maternal and newborn health services in the coverage cascade: who is benefitted and left behind in accessing better quality health services in Nepal?

BACKGROUND

Antenatal care (ANC) visits, institutional delivery, and postnatal care (PNC) visits are vital to improve the health of mothers and newborns. Despite improved access to these routine maternal and newborn health (MNH) services in Nepal, little is known about the cascade of health service coverage, particularly contact coverage, intervention-specific coverage, and quality-adjusted coverage of MNH services. This study examined the cascade of MNH services coverage, as well as social determinants associated with uptake of quality MNH services in Nepal.

METHODS

We conducted a secondary analysis of data derived from the Nepal Demographic and Health Survey (NDHS) 2016, taking 1978 women aged 15-49 years who had a live birth in the 2 years preceding the survey. Three outcome variables were (i) four or more (4⁺) ANC visits, (ii) institutional delivery, and (iii) first PNC visit for mothers and newborns within 48 h of childbirth. We applied a cascade of health services coverage, including contact coverage, intervention-specific and quality-adjusted coverage, using a list of specific intervention components for each outcome variable. Several social determinants of health were included as independent variables to identify determinants of uptake of quality MNH services. We generated a quality score for each outcome variable and dichotomised the scores into two categories of "poor" and "optimal" quality, considering > 0.8 as a cut-off point. Binomial logistic regression was conducted and odds ratios (OR) were reported with 95% confidence intervals (CIs) at the significance level of p < 0.05 (two-tailed).

RESULTS

Contact coverage was higher than intervention-specific coverage and quality-adjusted coverage across all MNH services. Women with advantaged ethnicities or who had access to bank accounts had higher odds of receiving optimal quality MNH services, while women who speak the Maithili language and who had high birth order (≥ 4) had lower odds of receiving optimal quality ANC services. Women who received better quality ANC services had higher odds of receiving optimal quality institutional delivery. Women received poor quality PNC services if they were from remote provinces, had higher birth order and perceived problems when not having access to female providers.

CONCLUSIONS

Women experiencing ethnic and social disadvantages, and from remote provinces received poor quality MNH services. The quality-adjusted coverage can be estimated using household survey data, such as demographic and health surveys, especially in countries with limited routine data. Policies and programs should focus on increasing quality of MNH services and targeting disadvantaged populations and those living in remote areas. Ensuring access to female health providers and improving the quality of earlier maternity visits could improve the quality of health care during the pregnancy-delivery-postnatal period.

Economic shocks predict increases in child wasting prevalence

In low and middle income countries macroeconomic volatility is common, and severe negative economic shocks can substantially increase poverty and food insecurity. Less well understood are the implications of these contractions for child acute malnutrition (wasting), a major risk factor for under-5 mortality. This study explores the nutritional impacts of economic growth shocks over 1990-2018 by linking wasting outcomes collected for 1.256 million children from 52 countries to lagged annual changes in economic growth. Estimates suggest that a 10% annual decline in national income increases moderate/severe wasting prevalence by 14.4-17.8%. An exploration of possible mechanisms suggests negative economic shocks may increase risks of inadequate dietary diversity among children. Applying these results to the latest economic growth estimates for 2020 suggests that COVID-19 could put an additional 9.4 million preschoolers at risk of wasting, net of the effects of preventative policy actions.

Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Background

Child undernutrition continues to be a major public health problem in many countries, including Nepal. The repercussions of undernutrition are not only limited to the affected children and families but also transcend to the national and global economy. Earlier studies from Nepal have predominantly used either ordinary least squares (OLS) regression or binary regression to analyse the socioeconomic and demographic correlates of the nutritional outcome. In this study, quantile regression was used to understand a complete and more precise estimate of the effects of the covariates on the child nutritional status.

Methods

This study was based on the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. Height-for-age z scores (HAZ) were used as an indicator for assessing the nutritional status of under-five children. Quantile regression was used to examine the heterogeneous association of covariates with conditional HAZ distribution across the different quantiles (0.10, 0.30, 0.50, 0.85). As a comparison, the effects of covariates at conditional mean of HAZ using OLS regression was also analysed. The graphs were plotted to visualize the changes in the coefficients for each regressor across the entire conditional HAZ distribution.

Results

Age of children, sex of children, province and wealth had a consistent and statistically significant association with HAZ in both OLS and quantile regression. Improved toilet facility was positively correlated with HAZ at the lower tails (tenth and thirtieth percentiles). Ethnicity (Janajati and Newer) was positively correlated with HAZ at the lower tail (thirtieth percentile) and mean (OLS regression). Maternal education was a significant predictor of improved height-for-age across conditional quantiles, except at the tenth percentile. Maternal age, number of under-five children in household, number of household members, and improved source of drinking water showed heterogeneous effects across different quantiles of conditional HAZ distribution.

Conclusion

Use of quantile regression approach showed that the effect of different factors differed across the conditional distribution of HAZ. Policymakers should consider the heterogeneous effect of different factors on HAZ so that the targeted intervention could be implemented to maximize the nutritional benefits to children.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12992-022-00834-4.

Reducing childhood stunting in India: Insights from four subnational success cases

Global success case analyses have identified factors supporting reductions in stunting across countries; less is known about successes at the subnational levels. We studied four states in India, assessing contributors to reductions in stunting between 2006 and 2016. Using public datasets, literature review, policy analyses and stakeholder interviews, we interpreted changes in the context of policies, programs and enabling environment. Primary contributors to stunting reduction were improvements in coverage of health and nutrition interventions (ranged between 11 to 23% among different states), household conditions (22–47%), and maternal factors (15–30%). Political and bureaucratic leadership engaged civil society and development partners facilitated change. Policy and program actions to address the multidimensional determinants of stunting reduction occur in sectors addressing poverty, food security, education, health services and nutrition programs. Therefore, for stunting reduction, focus should be on implementing multisectoral actions with equity, quality, and intensity with assured convergence on the same geographies and households.

The Intervention Service Coverage on Convergence Action to Reduce Stunting in Riau Province Priority Districts, Indonesia

BACKGROUND: The prevalence of stunting in Riau, Indonesia based on the Indonesian Toddler Nutrition Status Survey in 2019 was 23.95%. Efforts to reduce the prevalence of stunting remain challenging to achieve the target of 18% by 2024. One of the pillars in efforts to reduce stunting is convergence action involving multi-stakeholders to ensure the service delivery interventions received by targeted 1000 days of early life households.   OBJECTIVE: This study objective was to describe the intervention service coverage on stunting convergence action to reduce stunting in Riau Province, Indonesia.  METHODS: The intervention service coverage was obtained from web monitoring convergence Action and Reporting System in 2020 and nutritional status was from the Electronic Community-Based Nutrition Recording. Data was taken from 10 priority districts. There were 11 specific interventions and 9 sensitive interventions were analyzed. The data were analysed descriptively by districts and type of intervention.   RESULTS: The specific and sensitive interventions implemented in 161 priority villages in 2021.The results of the study were 6.0% of 392,444 under-five aged children indicated stunting. The average coverage of specific interventions was 78.3% and sensitive intervention was 50.3%. In specific intervention, supplementary feeding for wasted child (92.4%) and chronic energy deficiency pregnant women (91.1%) were the only indicator that reached the set target. All sensitive intervention were not reached the target.  Rokan Hulu (89.5%), Pekanbaru (88.0%), Kampar (84.4%), Pelawan (82.6%) districts had a high specific intervention. The highest sensitive intervention was in Rokan Hulu (74.6%). The budget from regional development for specific intervention was 28.2% and sensitive intervention was 71.8%.   CONCLUSION: The coverage service of sensitive intervention was lower than specific intervention. Only 2 out of 11 specific interventions coverage had reach the target and all of sensitive intervention coverage had not reach the target. The specific and sensitive intervention coverage was varied among priority district. The strengthening of interventions is required to increase coverage service delivery to the targeted household. The local government convergence action and increasing the role of the village authorities were the main keys in accelerating stunting reduction. 

Nutrition in Nepal: Three decades of commitment to children and women

South Asia has made significant progress in reducing child undernutrition. The prevalence of stunting declined by one third between 2000 and 2019; as a result, in 2019, there were 34 million fewer stunted children than in 2000, indicating that progress for child nutrition is possible and is happening at scale. However, no country in South Asia is on track for all nutrition targets of Sustainable Development Goal 2, and the region has the highest prevalence of stunting (33.2%) and wasting (14.8%) in the world. Nepal, the best performing country in the region, narrowly missed the Millennium Development Goal (MDG) target to half the prevalence of child underweight between 1990 and 2015 and achieved the fastest recorded reduction in stunting prevalence in the world between 2001 and 2011. In 2019, UNICEF Nepal completed a series of papers to examine Nepal's progress on maternal and child nutrition during the MDG era. The series explores the trends, distribution and disparities in stunting, micronutrient deficiencies and feeding practices in children under 5 years and anaemia in adolescents and women. Besides, it reviews national micronutrient programmes (vitamin A supplementation, iron and folic acid supplementation and universal salt iodization) and Nepal's first Multi-Sector Nutrition Plan, to illuminate the success factors and enduring challenges in the policy and programme landscape for nutrition. This overview paper summarizes the evidence from these analyses and examines the implications for the direction of future advocacy, policy and programme actions to improve maternal and child nutrition in Nepal and other similar contexts.

Utilisation of quality antenatal, delivery and postnatal care services in Nepal: An analysis of Service Provision Assessment

BACKGROUND

Nepal has improved access and utilisation of routine maternal and newborn health (MNH) services. Despite improved access to routine MNH services such as antenatal care (ANC), and delivery and postnatal care (PNC) services, the burden of maternal and neonatal deaths in Nepal remains high. Most of those deaths could be prevented by improving utilisation of evidence-informed clinical MNH interventions. However, little is known on determinants of utilisation of such clinical MNH interventions in health facilities (HFs). This study investigated the determinants of utilisation of technical quality MNH services in Nepal.

METHODS

This study used data from the 2015 Nepal Services Provision Assessment. A total of 523 pregnant and 309 postpartum women were included for the analysis of utilisation of technical quality of ANC, and delivery and PNC services, respectively. Outcome variables were utilisation of better quality i) ANC services, and ii) delivery and PNC services while independent variables included features of HFs and health workers, and demographic characteristics of pregnant and postpartum women. Binomial logistic regression was conducted to identify the determinants associated with utilisation of quality MNH services. The odds ratio with 95% confidence interval (CIs) were reported at the significance level of p < 0.05 (two-tailed).

RESULTS

Women utilised quality ANC services if they attended facilities with better HF capacity (aOR = 2.12;95% CI: 1.03, 4.35). Women utilised better quality delivery and PNC services from private HFs compared to public HFs (aOR = 2.63; 95% CI: 1.14, 6.08). Women utilised better technical quality ANC provided by nursing staff compared to physicians (adjusted odds ratio (aOR) =2.89; 95% CI: 1.33, 6.29), and from staff supervised by a higher authority compared to those not supervised (aOR = 1.71; 95% CI: 1.01, 2.92). However, compared to province one, women utilised poor quality delivery and PNC services from HFs in province two (aOR = 0.15; 95% CI: 0.03, 0.63).

CONCLUSIONS

Women utilised quality MNH services at facilities with better HF capacity, service provided by nursing staff, and attended at supervised HFs/health workers. Provincial and municipal governments require strengthening HF capacities (e.g., supply equipment, medicines, supplies), recruiting trained nurse-midwives, and supervising health workers.

A framework for identifying and learning from countries that demonstrated exemplary performance in improving health outcomes and systems

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.

The prevention of - and first response to - injuries in Nepal: a review of policies and legislation

BACKGROUND

Injuries, the cause of an estimated 4.5 million deaths annually and many more disabilities worldwide each year, are the predictable outcome of particular circumstances. One of the most effective ways to prevent injuries is through policy and legislation. The aim of this research study was to identify and critically review all policy and legislation in Nepal that had the potential to prevent injuries.

METHODS

We identified legislation and policy that met inclusion criteria through a stakeholder meeting, networks and contacts, and websites and electronic resources. Each included document was critically reviewed to identify areas of strength and opportunities for improvement. We compared the included documents against WHO's recommendations of known effective interventions.

RESULTS

Sixty-two documents met the inclusion criteria for this review. Of these, 24 (38.7%) were exclusively related to road injuries, 11 (17.7%) to occupational injuries, 6 (9.7%) to injuries in the home and 5 (8.1%) to injuries at school; 30 (48.4%) documents included text related to the first response to injuries. Of 127 strategic recommendations by WHO that provided an area for policy or legislative focus, 21 (16.5%) were considered adequately met by Nepali policy and legislation, 43 (33.9%) were considered partially met and 63 (49.6%) were not met.

CONCLUSION

We drew five conclusions from this critical policy review, which we have related to recommendations as follows: widening the scope of legislation and policy for injury prevention to emphasize injuries occurring at home or school; addressing the causes of injuries and promoting proven preventive measures; greater clarity on both individual and institutional roles and responsibilities; trustworthy data and quality evidence to inform decision-making; and financial investment and capacity-strengthening for injury prevention and first response. The current system of federal governance in Nepal has potential for strengthening injury prevention and first response at the central, provincial and local levels.

COVID-19 pandemic and mitigation strategies: implications for maternal and child health and nutrition

Coronavirus disease 2019 (COVID-19) continues to ravage health and economic metrics globally, including progress in maternal and child nutrition. Although there has been focus on rising rates of childhood wasting in the short term, maternal and child undernutrition rates are also likely to increase as a consequence of COVID-19 and its impacts on poverty, coverage of essential interventions, and access to appropriate nutritious foods. Key sectors at particular risk of collapse or reduced efficiency in the wake of COVID-19 include food systems, incomes, and social protection, health care services for women and children, and services and access to clean water and sanitation. This review highlights key areas of concern for maternal and child nutrition during and in the aftermath of COVID-19 while providing strategic guidance for countries in their efforts to reduce maternal and child undernutrition. Rooted in learnings from the exemplars in Global Health's Stunting Reduction Exemplars project, we provide a set of recommendations that span investments in sectors that have sustained direct and indirect impact on nutrition. These include interventions to strengthen the food-supply chain and reducing food insecurity to assist those at immediate risk of food shortages. Other strategies could include targeted social safety net programs, payment deferrals, or tax breaks as well as suitable cash-support programs for the most vulnerable. Targeting the most marginalized households in rural populations and urban slums could be achieved through deploying community health workers and supporting women and community members. Community-led sanitation programs could be key to ensuring healthy household environments and reducing undernutrition. Additionally, several COVID-19 response measures such as contact tracing and self-isolation could also be exploited for nutrition protection. Global health and improvements in undernutrition will require governments, donors, and development partners to restrategize and reprioritize investments for the COVID-19 era, and will necessitate data-driven decision making, political will and commitment, and international unity.