Innovation Frontiers for Agriculture-Nutrition Linkages Patrick - - PowerPoint PPT Presentation

innovation frontiers for agriculture nutrition linkages
SMART_READER_LITE
LIVE PREVIEW

Innovation Frontiers for Agriculture-Nutrition Linkages Patrick - - PowerPoint PPT Presentation

Innovation Frontiers for Agriculture-Nutrition Linkages Patrick Webb Director of Feed the Future Nutrition Innovation Lab - Asia AAAS Chicago February 2014 1 Disclaimer The Results presented here are preliminary and not final. Main


slide-1
SLIDE 1

1

Innovation Frontiers for Agriculture-Nutrition Linkages

Patrick Webb Director of Feed the Future Nutrition Innovation Lab - Asia AAAS Chicago February 2014

slide-2
SLIDE 2

Disclaimer

  • The Results presented here are preliminary

and not final.

slide-3
SLIDE 3

3

Main messages

  • 1. Undernutrition remains a major challenge to science,

not just to politics.

  • 2. Study of the ‘politics’ of nutrition is a neglected domain

(understanding process of policy implementation, policymaker motivation, commitment to collaboration across sectors, willingness to act, capacity to act – researchable questions).

  • 3. Measuring the quality of governance relating to nutrition

policy and programming key to scaling impact.

slide-4
SLIDE 4

4

  • Stunting underpins almost 20% child deaths globally
  • Severely stunted child c.5 times more likely to die of diarrhea

Today, >160 million children stunted (short for age) If we change nothing, 127 million children still stunted in 2025.

slide-5
SLIDE 5

5

Analysis of how policies are put into practice is “still in its infancy.” (Gilson and Raphaely 2008). Gillespie et al (2013): “We call for more research on what defines enabling environments for nutrition. We also call for more systematic ways to capture [lessons from] policy and programme operations.”

Frontier research on policy processes and program implementation

slide-6
SLIDE 6

6

Source: WHO (2013) Global Nutrition Policy Review

slide-7
SLIDE 7

7

Source: Swart et al. (2008) Nutrition: Primary Health Care Perspective (Durban)

slide-8
SLIDE 8

Hill sites Mountain sites Valley sites

Map of Nepal research sites 2012-15

21 sites, stratified random sample; panel data (4,500 children); birth cohort; linked to aflatoxin, gut microbiome work.

slide-9
SLIDE 9

9

32 Questions posed to the >700 policymakers/implementers: Incentives for collaboration

  • What incentives exist for x-sector collaboration?
  • What hurdles are thereto effective collaboration?

Perceptions/attitudes

  • Are beneficiaries able to express own needs?
  • Main frustrations in doing more for nutrition

Knowledge/training

  • Knowledge of national nutrition policy/strategy
  • Had training in nutrition

Effectiveness/resources

  • Financial or administrative hurdles to action
  • Rewards to working within/across sectors
slide-10
SLIDE 10

10

Source: Survey data 2013

Level Institution/Individual National Policy makers, donors, international non-governmental

  • rganizations (NGOs), academics

Regional Regional Administrator, Ministries of Health, Agriculture, Livestock, Education, Local Development, Water Supply, District Departments of Health, Agriculture, Livestock, Education, Local Development, Social Development, implementing NGOs Ilaka Offices of Health, Agriculture, Livestock, Education, Local Development Village Development Committee VDC Secretaries of Health, Agriculture, Livestock, Education, implementing NGOs Ward FCHV, Representative – Ward Citizen Forum, Representative MG, Representative Cooperative/Groups N = 708 26 29 278 79 97 199

Nepal research

slide-11
SLIDE 11

11

Source: Survey data 2013

Perceptions of causes of malnutrition varies by governance level Disease Low food production Poor breastfeeding practices Lack of education Region 55% 56% 90% District 42% 48% 5% 94% Sub-District 47% 44% 10% 96% Village cluster 45% 49% 9% 93% Ward 42% 40% 14% 86%

slide-12
SLIDE 12

12

“Do you feel that your department is sufficiently consulted on nutrition problems and solutions?”

Yes No Region 38% 62% District 42% 58% Sub-District 48% 52% Village cluster 38% 62% Ward 52% 48% Mean 43% 57%

Source: Survey data 2013

slide-13
SLIDE 13

13

Source: Survey data 2013

Lack Resources Political interference Time burden Region 66% 35% 3% District 48% 12% 2% Sub-District 53% 8% 4% Village Cluster 43% 16% 16% Ward 38% 2% 19% Mean 47% 12% 5% Major constraints to effective nutrition action

slide-14
SLIDE 14

14

Source: Survey data 2013

Local Development Ministry Health Ministry Agriculture and Livestock Ministries Education Ministry Water Supply Ministry Non- Govern ment Yes 33% 59% 34% 50% 65% 70% Yes, but need refreshers 21% 22% 27% 24% 23% 11% No 46% 20% 39% 26% 12% 20%

p=0.000

Responses also vary by sector “Are your own colleagues sufficiently trained to work across sectors on nutrition actions?”

slide-15
SLIDE 15

15

Own colleagues adequately

trained for role?

45% 49% 36%

Mountains Hills Valleys

Own department able to

respond to expressed needs?

37% 35% 11%

Awareness of nutrition

programming in your region? 96% 79% 76%

Knowledge of national

nutrition policy/strategy? 9% 3% 3%

Source: Survey data 2013

Surprises

slide-16
SLIDE 16

16

Governance Quality (GQ) Score

Commitment to Action [16 points] Incentives for collaboration [8 points] Perceptions/attitudes [8 points] Capacity to Act [16 points] Knowledge/training [8 points] Effectiveness/resources [8 points] 32 points total possible per respondent (N=708)

slide-17
SLIDE 17

Stunting GQ score

Stunting (46) Gscore (17)

>37% <16 >16.1 <36.9%

Stunting (52) Gscore (17) Stunting (32) Gscore (16) Stunting (46) Gscore (18) Stunting (62) Gscore (17) Stunting (45) Gscore (17) Stunting (41) Gscore (16) Stunting (20) Gscore (18) Stunting (33) Gscore (18) Stunting (50) Gscore (16) Stunting (17) Gscore (18) Stunting (38) Gscore (18) Stunting (30) Gscore (16) Stunting (35) Gscore (17) Stunting (38) Gscore (15) Stunting (26) Gscore (15) Stunting (22) Gscore (16) Stunting (33) Gscore (16) Stunting (30) Gscore (17) Stunting (55) Gscore (15) Stunting (18) Gscore (18)

slide-18
SLIDE 18

Stunting 55% Governance

Low crop diversity

Stunting 46% Governance

Low crop diversity

Stunting 17% Governance

Crop Diversity

>50% households growing <5 crops

Stunting 33% Governance

Crop Diversity

slide-19
SLIDE 19

19

Preliminary findings/conclusions

  • Good governance matters for nutrition! Well-known at national

level; first quantified approach at sub-national level.

  • Directions of causality must be explored. ‘What drives what?’

Key to targeting capacity-building and incentives.

  • New tools needed to assess commitment and capacity gaps

that can make or break national policies and programs. Same tools can apply to implementing agriculture or health actions.

slide-20
SLIDE 20

Many collaborators (Asia and Africa):

slide-21
SLIDE 21
slide-22
SLIDE 22

22

Mean Standard deviation Agriculture 15.73 1.42 Health 17.73 1.18 Education 15.53 1.56 Local development 15.09 1.16 Livestock 15.93 1.38 Administration 15.65 1.27 Water Supply Department 15.38 1.33 Women’s Development Committees 15.07 1.48 Commerce & industry 14.78 0.94 Non-Governmental Organizations 16.43 1.22 Quality of Nutrition Governance Scores by Sector

Source: Survey data 2013

slide-23
SLIDE 23

Low BMI Governance

Low BMI(26) Gscore (17)

>25% <16 >16.1 <24%

Low BMI (36) Gscore (17)

Low BMI(24) Gscore (16)

Low BMI (20) Gscore (18) Low BMI (48) Gscore (17)

Low BMI (9) Gscore (17)

Low BMI (15.6) Gscore (16) Low BMI (10) Gscore (18) Low BMI (28) Gscore (18)

Low BMI (3) Gscore (16)

Low BMI (10) Gscore (18)

Low BMI (0) Gscore (18)

Low BMI(15) Gscore (16)

Low BMI (25) Gscore (17)

Low BMI (9) Gscore (15)

Low BMI (26) Gscore (15) Low BMI (53) Gscore (16) Low BMI (40) Gscore (16) Low BMI (36) Gscore (17) Low BMI (43) Gscore (15)

Low BMI (7) Gscore (18)

slide-24
SLIDE 24

Stuntin g (46) Commi tment Capacit y Stuntin g (32) Commi tment Capacit y Stuntin g (44) Commi tment Capacit y Stunti ng (50) Com mitm ent Capac ity Stunti ng (17) Com mitm ent Capac ity

Stunting prevalence >45% 25-45% <25%

Stunti ng (38) Com mitm ent Capac ity Stunti ng (30) Com mitm ent Capac ity Stunti ng (52) Comm itmen t Capaci ty Stunti ng (45) Com mitm ent Capac ity Stunting (41) Commit ment Capacit y Stunti ng (38) Com mitm ent Capac ity Stuntin g (20) Commi tment Capacit y Stunting (18) Commit ment Capacity Stunti ng (35) Com mitm ent Capac ity Stunting (62) Commit ment Capacity Stunting (33) Commit ment Capacity Stunting (55) Commit ment Capacity Stunting (29) Commit ment Capacity Stunting (33) Commit ment Capacity Stuntin g (26) Commi tment Capacit y Stunting (22) Commit ment Capacity

Governance Score

High >15 Low <15

slide-25
SLIDE 25

25

Source: Survey data 2013

Region District Ilaka VDC Ward

Income/poverty 28% 49% 39% 46% 43% Education 90% 87% 87% 94% 92% Agriculture 59% 49% 48% 43% 21% Improved inter- sectoral coordination 34% 32% 24% 12% 24%

What programs should be implemented?

slide-26
SLIDE 26

26 Source: Lancet series 2013

slide-27
SLIDE 27

27

Source: Adapted from Pinstrup-Andersen (2011) Logical Framework Linking Food Systems with Health Status

Environmental enteropathy (gut microbiota; shared pathogens) Mycotoxins, cytokines, etc. Sanitation, hygiene

Effective governance

  • f policies

and programs

slide-28
SLIDE 28

“Higher calorie intake has improved nutrition and health.”

CGIAR (1996) Annual Report 1995-96

  • “Merely producing more food does not ensure food

security or improved nutrition.” (Herforth (2012) World Bank)

  • “Agriculture interventions do not always contribute to

positive nutritional outcomes.” (FAO 2012)

slide-29
SLIDE 29

29

10 20 30 40 50 60 70 80 90

Percent of respondents answering ‘yes’

Your dept able to respond to need? Your dept has ability to collaborate more across sectors?

slide-30
SLIDE 30

30

Regional District Sub- district % % % p value Support 13.8 7.2 7.6 0.449 Shared ownership of goals 20.7 33.8 24.1 0.119 Mandatory mechanism 17.2 41.0 15.2 0.000 Training 13.8 15.8 10.1 0.444 Shared resources 62.1 51.1 50.6 0.515 Allowance/fiscal benefits 55.2 20.9 17.7 0.000 No incentive 3.4 1.8 25.3 0.000 Don't know 1.3 0.143

Incentives to collaborate across sectors

Source: Survey data 2013

slide-31
SLIDE 31

Stunting 55% Commitment Capacity

Stunting 46% Commitment Capacity Stunting 17% Commitment Capacity

slide-32
SLIDE 32

32 Source: Lancet series 2013

slide-33
SLIDE 33

33

Source: Survey data 2013

Mountain sites Hill sites Valley sites Disease 51% 43% 35% Lack of food 51% 54% 33% Poor breastfeeding 16% 9% 2% Lack of education 88% 93% 97% Perceptions of underlying causes of malnutrition

slide-34
SLIDE 34

34

3 main messages

  • Undernutrition remains a major challenge to science.

“We know what to do, let’s just do it!”

  • New research frontiers lie in neglected spaces. Some are

biological mechanisms: suggestive key roles in nutrition for water-borne pathogens, diet-borne toxins, and environmental harms.

  • Some are policy based: understanding political motivation,

commitment to action, capacity to act -- researchable questions in their own right. Wrong on 3 counts.

  • 1. Dozen evidence-based nutrition-specific interventions –

but even at 90% coverage only resolves 20% child stunting.

  • 2. Agriculture is big part of solution – but more food/income

not enough. Neglected frontiers of research may yield more for nutrition than a focus on yields or biofortification.

  • 3. Good efficacy evidence – but very little evidence on

how to implement.