Projecting stunting and wasting under alternative scenarios in Odisha, India, 2015-2030: a Lives Saved Tool (LiST)-based approach

Predicting the potential impact of scaling up four pneumonia interventions on under-five pneumonia mortality: A prospective Lives Saved Tool (LiST) analysis for Bangladesh, Chad, and Ethiopia

Background

Pneumonia remains the leading cause of mortality in under-five children outside the neonatal period. Progress has slowed down in the last decade, necessitating increased efforts to scale up effective pneumonia interventions.

Methods

We used the Lives Saved Tool (LiST), a modelling software for child mortality in low- and middle-income settings, to prospectively analyse the potential impact of upscaling pneumonia interventions in Bangladesh, Chad, and Ethiopia from 2023 to 2030. We included Haemophilus influenzae type B (Hib) vaccination, pneumococcal conjugate vaccine (PCV), oral antibiotics, pulse oximetry, and oxygen as pneumonia interventions in our analysis. Outcomes of interest were the number of pneumonia deaths averted, the proportion of deaths averted by intervention, and changes in the under-five mortality rate.

Findings

We found that 19 775 lives of children under-five could be saved in Bangladesh, 76 470 in Chad, and 97 343 in Ethiopia by scaling intervention coverages to ≥90% by 2030. Our estimated reductions in pneumonia deaths among children under five range from 44.61% to 57.91% in the respective countries. Increased coverage of oral antibiotics, pulse oximetry, and oxygen show similar effects in all three countries, averting between 18.80% and 23.65% of expected pneumonia deaths. Scaling-up PCV has a prominent effect, especially in Chad, where it could avert 14.04% of expected pneumonia deaths. Under-five mortality could be reduced by 1.42 per 1000 live births in Bangladesh, 22.52 per 1000 live births in Chad, and 5.48 per 1000 live births in Ethiopia.

Conclusions

This analysis shows the high impact of upscaling pneumonia interventions. The lack of data regarding coverage indicators is a barrier for further research, policy, and implementation, all requiring increased attention.

Determinants of minimum acceptable diet feeding among children aged 6-23 months in Odisha, India

OBJECTIVE

To assess the level, pattern and determinants of minimum acceptable diet (MAD) feeding in Odisha, India.

DESIGN

Utilising cross-sectional data, the MAD was estimated through a dietary assessment method wherein the child's mother was asked to recall all the food intake of the youngest child the previous day and night of the surveyed date.

SETTING

National Family Health Survey 2015-2016.

PARTICIPANTS

Children aged 6-23 months, living with mother and for whom complete information on MAD was available (n 3073).

RESULTS

Only 8·4 % of the children aged 6-23 months were fed MAD, and the MAD feeding varies considerably by socio-demographic characteristics. Children aged 12-17 months had two times (OR: 2·51, 95 % CI (1·48, 4·26)) and those aged 18-23 months had three times (OR: 3·77, 95 % CI (2·25, 6·30)) higher odds of having a MAD than their counterparts aged 6-8 months. Children whose mother was exposed to any mass media had a higher chance of MAD feeding (OR: 1·46, 95 % CI (1·01, 2·11)).

CONCLUSIONS

The children of higher age, second or higher-order births, with mother exposed to mass media are significantly more likely to be fed with a MAD. At the same time, children from scheduled caste (SC) households have a lower probability of MAD feeding. The lower MAD feeding among the SC households suggests strengthening the ongoing programmes with a higher emphasis on the inclusion of this disadvantaged and marginalised group. Findings from the current study would assist policymakers, and public health managers improve MAD feeding practices in Odisha, India, in a targeted manner.

Pro-poor policies and improvements in maternal health outcomes in India

BACKGROUND

Since 2005, India has experienced an impressive 77% reduction in maternal mortality compared to the global average of 43%. What explains this impressive performance in terms of reduction in maternal mortality and improvement in maternal health outcomes? This paper evaluates the effect of household wealth status on maternal mortality in India, and also separates out the performance of the Empowered Action Group (EAG) states and the Southern states of India. The results are discussed in the light of various pro-poor programmes and policies designed to reduce maternal mortality and the existing supply side gaps in the healthcare system of India. Using multiple sources of data, this study aims to understand the trends in maternal mortality (1997-2017) between EAG and non EAG states in India and explore various household, economic and policy factors that may explain reduction in maternal mortality and improvement in maternal health outcomes in India.

METHODS

This study triangulates data from different rounds of Sample Registration Systems to assess the trend in maternal mortality in India. It further analysed the National Family Health Surveys (NFHS). NFHS-4, 2015-16 has gathered information on maternal mortality and pregnancy-related deaths from 601,509 households. Using logistic regression, we estimate the association of various socio-economic variables on maternal deaths in the various states of India.

RESULTS

On an average, wealth status of the households did not have a statistically significant association with maternal mortality in India. However, our disaggregate analysis reveals, the gains in terms of maternal mortality have been unevenly distributed. Although the rich-poor gap in maternal mortality has reduced in EAG states such as Bihar, Odisha, Assam, Rajasthan, the maternal mortality has remained above the national average for many of these states. The EAG states also experience supply side shortfalls in terms of availability of PHC and PHC doctors; and availability of specialist doctors.

CONCLUSIONS

The novel contribution of the present paper is that the association of household wealth status and place of residence with maternal mortality is statistically not significant implying financial barriers to access maternal health services have been minimised. This result, and India's impressive performance with respect to maternal health outcomes, can be attributed to the various pro-poor policies and cash incentive schemes successfully launched in recent years. Community-level involvement with pivotal role played by community health workers has been one of the major reasons for the success of many ongoing policies. Policy makers need to prioritise the underperforming states and socio-economic groups within the states by addressing both demand-side and supply-side measures simultaneously mediated by contextual factors.

Disparity in childhood stunting in India: Relative importance of community-level nutrition and sanitary practices

Despite rapid macro-economic growth, one-third of the global burden of childhood stunting is contributed by India. This burden is characterized by wide-spread geographical variation within the country. This paper explores two research questions: (i) are the drivers of severe and moderate stunting similar? (ii) differential endowments or policy-effect, how do community-level nutrition and sanitary practices affect inter-state differences? Using data from Indian National Family and Health Survey 4, 2015-16, six states holding different ranks in the stunting continuum are compared to Tamil Nadu, taken as the benchmark state due to its laudable performance in the health care sector. Applying quantile regression approaches, the difference in state-level performance is decomposed into detailed covariate effects (differential endowments) and coefficient effects (differential strength of association between the drivers and outcome). The explanatory variables are not similarly associated with severe and moderate stunting. Decomposition results demonstrate a significant role of community-level sanitation practices compared to child nutrition behaviour in explaining the inter-state disparity. Coefficient effects play a dominant role in the lower tail of HAZ distribution for the poor performing states indicating that the worse outcomes of these states are due to weaker policy effects of the control variables on stunting. Multi-sectoral approach, identification and differentiation between severe and moderate stunting cases can be more instrumental in managing and reducing the scourge. This paper also advocates the potential benefits of customizing centrally-launched policies as per the state's performance and introducing the concept coproduction in the existing nutrition and health policy framework. This will instigate a feeling of ownership of the problem of childhood stunting among the policy consumers and strengthen the influence of policies on the outcomes.

Factors influencing delivery of intersectoral actions to address infant stunting in Bogotá, Colombia - a mixed methods case study

Background

Intersectoral actions (ISA) are a recognized relationship between the health sector and other sectors to improve health outcomes. Although a frequent topic in public health studies, evidence for systematic evaluation of implementation of ISA is scarce. An intersectoral health intervention for infants under one-year-old with, and at risk of, stunting (low height-for-age) was developed by a public-private partnership in Bogotá, Colombia, during 2018 and 2019. Here we report a case study conducted in parallel to the intervention designed to assess factors that influenced implementation of the ISA.

Methods

The case study was developed using a concurrent mixed-methods design, with the qualitative component giving context to the quantitative results. The qualitative component was obtained from four workshops, three focus groups, and 17 semi-structured interviews with actors involved in the intersectoral intervention. The quantitative component was obtained with two questionnaires that evaluated perceptions on improvement and partnership functioning of the ISA.

Results

This study collected information from 122 participants. The intervention demanded intersectoral collaboration. Political will, motivated human resources, and recognition that health improvement results from collaboration, were factors that facilitated intersectoral actions. Intersectoral actions were limited by difficulties in engaging the health sector, communication challenges related to local health service decentralization, and administrative barriers.

Conclusions

Intersectoral actions have recently been discussed in the literature due to challenges in implementation and doubts regarding economic outcomes. The implementation of intersectoral public health interventions can be jeopardized by a lack of coordination and management skills.