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In India, 15 nutrition interventions are delivered and financed through the National Health Mission (NHM). Programmatic know‐how, however, on tracking nutrition budgets in health sector plans is limited. Following the four phases of the budget cycle—planning, allocations, disbursements and expenditure, this paper presents a new method developed by the authors to track nutrition budgets within health sector plans. Using the example of the Anemia Mukt Bharat (AMB) or Anemia Free India strategy, it reports preliminary findings on the application of the first two phases of the method, that is, to track and act for improved planning and allocations, covering 12 states. The paper lists out the budget heads, cost norms and developed tools to plan adequately. Supportive action was undertaken through sharing trends and trainings for AMB's budgeting to create opportunities for improvements. It was observed that the AMB budget increased over 3 years despite the COVID situation. It increased from INR 6184 million in FY 2019–2020 to INR 6293 million, a 2% increase in FY 2020–2021, and to INR 7433 million, an 18% increase in FY 2021–2022. The difference in allocations and planned budgets were low (16%, 4% and 11%, respectively) while the difference in required budgets and planned budgets were significant but reduced consistently (41%, 31% and 22%, respectively). The paper concludes that the methods adopted for tracking and acting for improved nutrition budgets helped in informing national and state governments regarding yearly trends. Such methods can be effective and be developed for other nutrition interventions. Key messages: Tracking budgets and timely action can improve planning and allocation efficiency.Support to states in planning budgets is essential. No major gaps were found in approvals.Technical partners can assist in supporting governments for improving financial efficiency. [ABSTRACT FROM AUTHOR]

Prior research has identified a number of risk factors ranging from inadequate household sanitation to maternal characteristics as important determinants of child malnutrition and health in India. What is less known is the extent to which these individual‐level risk factors are geographically distributed. Assessing the geographic distribution, especially at multiple levels, matters as it can inform where, and at what level, interventions should be targeted. The three levels of significance in the Indian context are villages, districts, and states. Thus, the purpose of this paper was to (a) examine what proportion of the variation in 21 risk factors is attributable to villages, districts, and states in India and (b) elucidate the specific states where these risk factors are clustered within India. Using the fourth National Family Health Survey dataset, from 2015 to 2016, we found that the proportion of variation attributable to villages ranged from 14% to 63%, 10% to 29% for districts and 17% to 62% for states. Furthermore, we found that Bihar, Jharkhand, Madhya Pradesh, and Uttar Pradesh were in the highest risk quintile for more than 10 of the risk factors included in our study. This is an indication of geographic clustering of risk factors. The risk factors that are clustered in states such as Bihar, Jharkhand, Madhya Pradesh and Uttar Pradesh underscore the need for policies and interventions that address a broader set of child malnutrition determinants beyond those that are nutrition specific. [ABSTRACT FROM AUTHOR]

Despite strong policy and program commitment, essential maternal nutrition services are not reaching enough women in many countries. This paper examined multifactorial determinants (personal, family, community, and health services) associated with maternal nutrition practices in Uttar Pradesh, India. Data were from a household survey of pregnant (n = 667) and recently delivered women (n = 1,835). Multivariable regression analyses were conducted to examine the determinants of four outcomes: consumption of diverse diets, consumption of iron folic acid (IFA) and calcium tablets, and weight monitoring during pregnancy. Population attributable risk analysis was used to estimate how much the outcomes can be improved under optimal program implementation. During pregnancy, women consumed 28 IFA and 8 calcium tablets, 18% consumed diverse diet, and 17% were weighed ≥3 times. Nutrition knowledge was associated with consumption of diverse diet (odds ratio [OR] = 2.2 times), IFA (2.3 times), calcium (11.7 times), and weight monitoring (1.3 times). Beliefs and self‐efficacy were associated with IFA (OR = 2.0) and calcium consumption (OR = 4.6). Family support and adequate health services were also associated with better nutrition practices. Under optimal program implementation, we estimate that 51% of women would have adequate diet diversity, an average consumption of 98 IFA, and 106 calcium tablets, and women would be weighed 4.9 times during pregnancy. Strengthening existing program operations and increasing demand for services has the potential to result in large improvements in maternal nutrition practices from current baseline levels but may not be sufficient to meet World Health Organization‐recommended levels without creating an enabling environment including improvements in education and income levels to support behaviour change. [ABSTRACT FROM AUTHOR]

This study reviews the performance of a community‐based nutrition programme in preventing and treating wasting without complications among children under age three in urban informal settlements of India. Implemented by a non‐profit organization, with national (Integrated Child Development Services [ICDS]) and city‐level (Municipal Corporation of Greater Mumbai [MCGM]) government partners, the programme screened 7,759 children between May 2014 and April 2015. During this period, the programme admitted 705 moderately wasted and 189 severely wasted children into the treatment group and 6,820 not wasted children into the prevention group. Both prevention and treatment groups received growth monitoring, referrals to public health facilities, and home‐based counselling (if <6 months) by community health workers. Treatment groups received additional home‐based counselling and access to medical screenings. Severely wasted children also received access to ready‐to‐use therapeutic food. The study assessed default rates, wasting status, and average weight gain 3 months after admission. Factors associated with growth faltering in the prevention group were explored using logistic regression. Default rates for the severely wasted, moderately wasted, and prevention group were 12.7%, 20.4%, and 22.1%, respectively. Recovery rate was 42.4% for the severely wasted and 61.3% for the moderately wasted. For the moderately wasted, mean weight gain was 2.1 g/kg/day, 95% confidence interval (CI) [1.6, 2.6], and 4.5 g/kg/day for the severely wasted, 95% CI [3.1, 5.9]. Among prevention group children, 3.6% faltered into wasting—3.2% into moderate and 0.4% into severe. The paper gives insights into ways in which ICDS and MCGM can successfully integrate large‐scale community‐based acute malnutrition programming. [ABSTRACT FROM AUTHOR]