Nutrition Data Value Chain - Moving from Ideas to Action
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T4N Keynote address by Ellen PIWOZ from the Bill & Melinda Gates Foundation (BMGF)
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Nutrition Data Value Chain - Moving from Ideas to Action
- 1. Moving from Ideas to Action Ellen G. Piwoz 11 February 2020 Nutrition Data Value Chain
- 2. 2014: Nutrition Needs A Data Revolution! Global Nutrition Report 2014 “Of the many information gaps, the ones that most need to be filled are those that constrain priority action and impede accountability. In addition to data gaps on WHA progress, intervention coverage, and financial tracking, there are important gaps in data on food consumption, program costs, low birth weight, micronutrient status, capacity to scale up interventions, and impact”. ….IT’S A SUPPLY SIDE ISSUE 26 February 2020
- 3. 2015: SDGs Call for No One Left Behind 26 February 2020 The State of Development Data Funding The aim should not only be to present numerical information, but to help people transform data into information, information into knowledge, and knowledge into action …IT IS AN ACTION AND USE ISSUE Target 17.18 By 2020, enhance capacity- building support to developing countries, including least developed countries,…to increase significantly the availability of high- quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts.
- 4. 2016: The Nutrition Data Value Chain Emerges (MANY VERSIONS, SAME IDEA) 26 February 2020
- 5. Why this Approach? 26 February 2020 • The data value chain provides a horizontal and holistic view of data that stretches from priority setting to collection, analysis, interpretation, and use of information by decision-makers • Viewing data through a value chain lens creates an action focus that demands better data and information that gets used in decisions to improve policies, programs, accountability and outcomes. • Data becomes central to achieving the SDGs and our Global Nutrition Targets – it is not just for reporting purposes. • It requires significant investment, not only in data collection, but in capacity across the entire data value chain (e.g., curation, analysis, translation, use) • And it requires leadership and coordination to prioritize data needs, make information accessible and interoperable (sharable), and to strengthen existing systems (not create parallel structures).
- 6. How has this been Translated into Action? (SOME GLOBAL EXAMPLES) 1. Prioritization: Developing and validating indicators of nutrition coverage measurement and guidance for data collection in administration data systems 2. Creation and Collection: Incorporation of new indicators into DHS and other population based survey platforms and administrative data systems, and support for tools to improve measurement of food intake and adequacy 3. Curation: Updating and improving accessibility of globally managed databases for IYCF, anthropometry, dietary intake 4. Analysis: Supporting development and use of analytic modeling tools and new data visualizations 5. Translation and Dissemination: Synthesis of evidence into actionable guidance for policies and programs, and advocacy 6. Decision-Making: Integrating data, analytics, evidence into National Nutrition Plans, Investment Cases, policies, and programs 26 February 2020
- 7. 1: Prioritizing Coverage Measurement 26 February 2020 • Reviewed 24 recommended nutrition interventions to ascertain availability of data to track progress scaling up • Identified data gaps – very few recommended ‘essential nutrition actions’ have coverage data • Used case studies to identify feasible strategies (including adjustment for quality) • Issued call to action to include measurement guidance for recommended nutrition actions Prioritization
- 8. 2: Creation and Collection of New Data 26 February 2020 https://blog.dhsprogram.com/ New and revised questions in DHS-8 can be used in other survey platforms Creation & Collection
- 9. 3: Making Data More Accessible • UNICEF: www.data.unicef.org/resource/nutrition-data • Disaggregated time series data (residence, wealth, age, sex, etc.) for IYCF, Joint Malnutrition Estimates (JME), Household Iodized Salt, VA, LBW • Global Fortification Data Exchange: https://fortificationdata.org/ • Online tool that enables visualizations and consolidates data for major food fortification vehicles (wheat and maize flour, rice, oil, sugar), national legislation, monitoring protocols, fortification quality, and population coverage for 196 countries. • Global Dietary Database: https://www.globaldietarydatabase.org/ • Compiles data, validates, and disseminates data on dietary intakes of major foods and nutrients for children and adults by age, sex, pregnancy/nursing status, rural vs. urban residence, and level of education. • FAO/WHO GIFT: http://www.fao.org/gift-individual-food-consumption/en/ • Collates and harmonizes existing data from individual-level food consumption surveys and creates data visualizations for food intake and safety – call for all to contribute data 26 February 2020 Curation
- 10. 26 February 2020 4: Data Visualizations are a Call for Action https://vizhub.healthdata.org/lbd/cgf Analysis
- 11. 4: Scorecards to Call for Action https://public.tableau.com/profile/gbc2364#!/vizhome/G BC_Global_Indicators/GLOBALINDICATORS?publish=yes Analysis
- 12. 5: Synthesizing Evidence for Agenda Setting 26 February 2020 Translation & Dissemination
- 13. 5: Synthesizing Evidence for Agenda Setting 26 February 2020 “Its time to hold health systems accountable for their essential role in dealing with malnutrition” Translation & Dissemination
- 14. 5: Synthesizing Evidence for Agenda SettingCountry and regional profiles identify data gaps and regional priorities 26 February 2020 Translation & Dissemination
- 15. 6: Using Data and Evidence for Decision- Making A wide range of tools are available to use nutrition data and evidence to answer programing and policy questions 26 February 2020 https://www.nyas.org/programs/nutrition-modeling-consortium/ Decision Making
- 16. 26 February 2020 A Proposed Blueprint for Action Country Actions
- 17. 26 February 2020 A Proposed Blueprint for Action Global Actions
- 18. Some Concluding Messages 18 Know your data & information ecosystem Leadership and coordination are critical Adopt a Data Value Chain approach to translate evidence to action Develop and Cost National DVC plans Take advantage of global tools and evidence 1 2 3 4 5
- 19. Thank you!
Editor's Notes
- In 2014, the first Global Nutrition Report declared that “Nutrition needs a data revolution”. A text box made the case for what the African Nutrition Community could do the advance this cause and the report’s key messages laid out four actions: (1) identify data priorities and gaps through a consultative process in anticipation of the SDGs; (2) invest in nutrition survey capacity so that consistent and reliable national data would be available every 3-4 years; (3) ensure that high income countries provide comparable data so that they can be included in progress tracking; and (4) invest in national and global, interoperable and accessible, nutrition databases to facilitate accountability. The report promised to analyze investments in relation to need to make this revolution a reality in its second, 2015 edition.
- We hope that our proposed blueprints for action will provide a common base off which we as a community can build on. We need to speak a common language when it comes to discussions around data and information systems, and we believe we need to be more systematic about thinking about what we mean by the “data revolution” for nutrition. We hope that our proposed blueprints for action will provide a common base off which we as a community can build on. We need to speak a common language when it comes to discussions around data and information systems, and we believe we need to be more systematic about thinking about what we mean by the “data revolution” for nutrition. There are a few key takeaways: Know your data & information ecosystem Better coordination within the data & information system is needed globally and at the country level. The call for action goes beyond “more data, more frequently”: A data value chain approach is needed. Priorities matter & prioritization should be country-led. However, there are common requirements everywhere. Articulating these will help us to speak a common language. What gets defined gets measured. What gets measured gets done. What gets costed gets financed. Developing a blueprint for action will aid in resource mobilization, better use of available resources, learning, and advocacy.