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      Ending malnutrition in all its forms requires scaling up proven nutrition interventions and much more: a 129-country analysis

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          Abstract

          Background

          Sustainable Development Goal (SDG) 2.2 calls for an end to all forms of malnutrition, with 2025 targets of a 40% reduction in stunting (relative to 2012), for wasting to occur in less than 5% of children, and for a 50% reduction in anaemia in women (15–49 years). We assessed the likelihood of countries reaching these targets by scaling up proven interventions and identified priority interventions, based on cost-effectiveness.

          Methods

          For 129 countries, the Optima Nutrition model was used to compare 2019–2030 nutrition outcomes between a status quo (maintained intervention coverage) scenario and a scenario where outcome-specific interventions were scaled up to 95% coverage over 5 years. The average cost-effectiveness of each intervention was calculated as it was added to an expanding package of interventions.

          Results

          Of the 129 countries modelled, 46 (36%), 66 (51%) and 0 (0%) were on track to achieve the stunting, wasting and anaemia targets respectively. Scaling up 18 nutrition interventions increased the number of countries reaching the SDG 2.2 targets to 50 (39%), 83 (64%) and 7 (5%) respectively. Intermittent preventative treatment of malaria during pregnancy (IPTp), infant and young child feeding education, vitamin A supplementation and lipid-based nutrition supplements for children produced 88% of the total impact on stunting, with average costs per case averted of US$103, US$267, US$556 and US$1795 when interventions were consecutively scaled up, respectively. Vitamin A supplementation and cash transfers produced 100% of the total global impact on prevention of wasting, with average costs per case averted of US$1989 and US$19,427, respectively. IPTp, iron and folic acid supplementation for non-pregnant women, and multiple micronutrient supplementation for pregnant women produced 85% of the total impact on anaemia prevalence, with average costs per case averted of US$9, US$35 and US$47, respectively.

          Conclusions

          Prioritising nutrition investment to the most cost-effective interventions within the country context can maximise the impact of funding. A greater focus on complementing nutrition-specific interventions with nutrition-sensitive ones that address the social determinants of health is critical to reach the SDG targets.

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          Most cited references80

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Global causes of maternal death: a WHO systematic analysis.

            Data for the causes of maternal deaths are needed to inform policies to improve maternal health. We developed and analysed global, regional, and subregional estimates of the causes of maternal death during 2003-09, with a novel method, updating the previous WHO systematic review. We searched specialised and general bibliographic databases for articles published between between Jan 1, 2003, and Dec 31, 2012, for research data, with no language restrictions, and the WHO mortality database for vital registration data. On the basis of prespecified inclusion criteria, we analysed causes of maternal death from datasets. We aggregated country level estimates to report estimates of causes of death by Millennium Development Goal regions and worldwide, for main and subcauses of death categories with a Bayesian hierarchical model. We identified 23 eligible studies (published 2003-12). We included 417 datasets from 115 countries comprising 60 799 deaths in the analysis. About 73% (1 771 000 of 2 443 000) of all maternal deaths between 2003 and 2009 were due to direct obstetric causes and deaths due to indirect causes accounted for 27·5% (672 000, 95% UI 19·7-37·5) of all deaths. Haemorrhage accounted for 27·1% (661 000, 19·9-36·2), hypertensive disorders 14·0% (343 000, 11·1-17·4), and sepsis 10·7% (261 000, 5·9-18·6) of maternal deaths. The rest of deaths were due to abortion (7·9% [193 000], 4·7-13·2), embolism (3·2% [78 000], 1·8-5·5), and all other direct causes of death (9·6% [235 000], 6·5-14·3). Regional estimates varied substantially. Between 2003 and 2009, haemorrhage, hypertensive disorders, and sepsis were responsible for more than half of maternal deaths worldwide. More than a quarter of deaths were attributable to indirect causes. These analyses should inform the prioritisation of health policies, programmes, and funding to reduce maternal deaths at regional and global levels. Further efforts are needed to improve the availability and quality of data related to maternal mortality. © 2014 World Health Organization; licensee Elsevier. This is an Open Access article published without any waiver of WHO's privileges and immunities under international law, convention, or agreement. This article should not be reproduced for use in association with the promotion of commercial products, services, or any legal entity. There should be no suggestion that WHO endorses any specific organisation or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
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              Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost?

              The Lancet, 382(9890), 452-477
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                Author and article information

                Contributors
                nick.scott@burnet.edu.au
                dominic.delport@burnet.edu.au
                swwhains@gmail.com
                ruth.pearson8@gmail.com
                chris.morgan@honorary.burnet.edu.au
                shan.huang@burnet.edu.au
                jakuoku@worldbank.org
                ellen.piwoz@gmail.com
                mshekar@worldbank.org
                clevin@uw.edu
                mike.toole@burnet.edu.au
                caroline.homer@burnet.edu.au
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                13 November 2020
                13 November 2020
                2020
                : 18
                : 356
                Affiliations
                [1 ]GRID grid.1056.2, ISNI 0000 0001 2224 8486, Maternal, Child and Adolescent Health Program, Burnet Institute, ; Melbourne, Australia
                [2 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, School of Public Health and Preventative Medicine, , Monash University, ; Melbourne, Australia
                [3 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, School of Population and Global Health, , University of Melbourne, ; Melbourne, Australia
                [4 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Jhpiego, ; Baltimore, MD USA
                [5 ]GRID grid.484609.7, ISNI 0000 0004 0403 163X, World Bank Group, ; Washington DC, USA
                [6 ]GRID grid.418309.7, ISNI 0000 0000 8990 8592, Nutrition Global Development Program, Bill and Melinda Gates Foundation, ; Seattle, USA
                [7 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Global Health, , University of Washington, ; Seattle, USA
                Article
                1786
                10.1186/s12916-020-01786-5
                7661178
                33183301
                208563f0-3df6-43c0-b9fe-4892d31c4a79
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 15 July 2020
                : 16 September 2020
                Funding
                Funded by: National Health and Medical Research Council of Australia
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Medicine
                economic analysis,mathematical model,nutrition,optima nutrition,sustainable development goals

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