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Optima Nutrition: A Tool for Enhancing the Efficiency of Nutrition Spending

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Meera Shekar
IFPRI-FAO conference side event, "Accelerating the End of Hunger and Malnutrition"
November 28–30, 2018
Bangkok, Thailand

Published in: Government & Nonprofit
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Optima Nutrition: A Tool for Enhancing the Efficiency of Nutrition Spending

  1. 1. A Tool for Enhancing the Efficiency of Nutrition Spending Side Event: Nov 28, 2018: 1630-1800 Room: President 1&2 Intercontinental Bangkok 0
  2. 2. Optima Nutrition ….. ….Within the wider ecosystem of advanced analytics brought on by the advent of big data and advanced analytics ….Within the architecture of a global movement from cost effectiveness analyses in health to the use of mathematical models to improve decision making …. Within the context of other decision science tools in health
  3. 3. LiST One Health PROFILES Single intervention FANTA CMAM MINIMOD WBCi Existing Nutrition tools for impact & economic analyses Multiple interventions Investment Coverage Health impact Economic impact Optimizatio n Budget impact 2
  4. 4. What is Optima Nutrition? • Mathematical model and a decision support tool • Focuses on child and maternal nutrition: stunting, wasting, anemia • Core interventions are nutrition-specific, albeit some nutrition- sensitive interventions added on 3 • Part of a larger effort and a suite of products for allocative efficiency analysis in different areas of health • Collaboration between the Bill and Melinda Gates Foundation, the Burnett Institute, and the World Bank
  5. 5. $ Overall budget available for nutrition Which combination of investments leads to maximum impacts? Balanced energy protein supplementation Infant and young child feeding education Vitamin A supplements Iron and folic acid supplementation Treatment of SAM Prophylactic Zinc supplements IPTp 4 Key question: how should a budget be allocated across different nutrition interventions to maximize impacts?
  6. 6. Linking Investments with Impacts • Combines information on cost, coverage, and impact of interventions • Identifies the best/highest impact allocations of resources across different interventions and/or… $ 5
  7. 7. Questions addressed by Optima Nutrition • For different funding levels, how should resources be allocated across a mix of nutrition interventions and what impact is achievable? • Optimal outcomes can be measured as: • minimised stunting cases • minimised stunting prevalence • minimised wasting prevalence • minimised anaemia prevalence • minimised deaths or • A combination of the above, e.g. maximising the number of alive non-stunted children (“alive and thrive”). 6
  8. 8. Applications to Date, and Next Steps • Initial test applications using Tanzania and Bangladesh data • Optimization across different interventions • Optimization across different regions • Optima Nutrition studies launched in DRC, Tajikistan and Burundi • Further requests received for country-level analyses from Myanmar, Indonesia, Benin, Togo, Bangladesh, Rwanda, Pakistan, Zimbabwe, Sierra Leone, Burkina Faso 7
  9. 9. Capacity Building for Optima Nutrition to Date • Three regional trainings in 2018: • Bucharest, Bangkok, Pretoria • 52 staff from national health and nutrition programs trained from 15 countries (Bangladesh, Benin, Burkina Faso, Djibouti, India, Madagascar, Myanmar, Nepal, Pakistan, Sierra Leone, Tajikistan, Tanzania, Ukraine, Zambia, Zimbabwe) • 28 additional participants from development organizations (BMGF, DFID, FAO, Power of Nutrition, USAID, WFP and World Bank) and academic institutions (University of California Davis, University of Pretoria, Johns Hopkins University, the Sackler Institute) • Overwhelmingly positive feedback; interest in country-level trainings in: India, Nigeria • Bellagio consultation: Nov 2018: 20 participants form countries, development partners 8
  10. 10. Tanzania Application: Linking Investments with Impacts 9 $0 $10 $20 $30 $40 $50 $60 $70 Estimated 2016 spending Estimated NMNAP planned spending Optimised spending Spendingoninterventions(millionUS$) National optimisation results (Tanzania Example) To maximise the number of alive and non-stunted children 2017-2030 Vitamin A supplementation Public provision of complementary foods IYCF Balanced energy-protein supplementation Multiple micronutrient supplementation
  11. 11. Linking Investments with Impacts: Tanzania • … the best/highest impact allocations across different geographies (regions, provinces) 10
  12. 12. Bangladesh Application: Optimal allocation of additional resources across regions 11 0 2 4 6 8 10 12 $m Dhaka Optima l 2014 spend 0 2 4 6 8 10 12 $m Barisal 0 2 4 6 8 10 12 $m Chittagong 0 2 4 6 8 10 12 $m Khulna 0 2 4 6 8 10 12 $m Rajshahi 0 2 4 6 8 10 12 $m Rangpur 0 2 4 6 8 10 12 $m Sylhet 0 25 50 75 100 100% 150% 200% 300% 400% Spending(millionUSD) Breastfeeding promotion Public provision of complementary foods Balanced energy-protein supplementation Vitamin A supplementation Complementary feeding education Antenatal micronutrient supplementation Estimated spending Optimized spending 2014 budget • Prioritizing regions for allocation of additional resources could yield greatest impact • With additional $10m, prioritizing scale-up in Dhaka and Chittagong divisions achieve greatest reductions in stunting
  13. 13. Thank You! 12

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