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1
Patrick Webb
Sept 2013
Science Forum
Understanding the Roles of
Individuals in Institutions
2
Source: WHO (2013) Global Nutrition Policy Review
3
What strategies are effective for enabling multi-sectoral
coordination and coherence for nutrition?
What types of institutional investments and capacity
building yield the best systemic and strategic capacity?
How should resources allocated to nutrition-sensitive
programmes be assigned to nutrition improvement?
Research priorities in 2013 Lancet Series (Paper 4)
4
Programme and Policy Stages and Stakeholders
Source: Leroy J L , Menon P (2008) J. Nutr. 138:628-9
Source: Masset et al. 2011
6
World Bank (2010) What can we learn from nutrition impact evaluations? Washington, D.C.
Nat’l policy makers&
District officials, front-line
workers & program
implementers
Focus
Lead
Collaborators
VaRG, PAHS,
Tribuvan U.
Understand agriculture-to-
nutrition linkages thru
population-based
assessments
Population-based:
Communities, Households,
Mothers and Children<5 yrs
Goal Understand policy and
programming
processes
IOM, NARC, New
Era, NTAG
PoSHAN Study
Policy and Science for Health,
Agriculture and Nutrition Process Community
Legend
Terai
Hill Districts
Mountain Districts
9
Service Delivery Levels
Sector Coordination Levels
Cross-ministry coordination level
Cross-policy and donor coordination
Policy, institutions, governance
10
Source: Own data 2013
Level Institution/Individual
National Policy makers, donors, INGOs, academics
Regional Administrator, RD Health, RD Agriculture, RD Livestock,
RD Education, RD DWS, RDWD
District LDO, DHO/DPHO, Agriculture, Livestock, Education,
DWS, Program Office, Social Dev, Sec DDC, Planning Off,
NGO Federation, implementing NGOs
Ilaka Health, Agriculture, Livestock, Education
VDC VDC Secretary, Health, Agriculture, Livestock, Education,
NGOs
Ward FCHV, Representative – Ward Citizen Forum,
Representative MG, Representative Cooperative/Groups
11
Source: PoSHAN data 2013
Sector Frequency Valid Percent
Local Gov./Social Development 76 19.7
Health 46 11.9
Agriculture and Livestock 89 23.1
Education 46 11.9
Water Supply 26 6.7
NGO/Private 103 26.7
Total 386 100
Sectors Interviewed (386/755)
12
Source: PoSHAN data 2013
Government official 283 73.3
NGO official 97 25.1
INGO official 6 1.6
Total 386 100
Respondent type/function
13
Source: PoSHAN data 2013
Region District Ilaka VDC Ward P value
Worms 20.7 7.9 3.8 0.016
Lack of awareness
of supplementary
foods,
micronutrient
deficiencies 13.8 3.2 0 0.002
High workload and
lack of care of
children 0 15.1 22.8 0.014
N=29 N=278 N=79
Perceptions of underlying causes of malnutrition
N= 369 more
14
Source: Own data 2013
Regional District Ilaka
% % % 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 0 0 1.3 0.143
Incentives to collaborate across sectors
15
Source: PoSHAN data 2013
Lack of fuel/transportation facilities to field
Lack of interest/motivation
Too heavy workload already
Lack of skills and capacity to work across sectors
Bureaucratic constraints to cross-ministry work
Political uncertainty (mixed or no signals)
Reported disincentives to cross-sectoral collaboration
16
Source:PoSHAN data 2013
Local
Development
and Social
Development Health
Agriculture
and Livestock Education
Water
Supply NGOs
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
“Are people in your own department sufficiently trained
to work across sectors on nutrition actions?”
17
Source: Own data 2013
Local
Development
and Social
Development Health
Agriculture
and
Livestock Education
Water
Supply
NGOs
Yes 22% 33% 33% 35% 42% 34%
Yes but need
refreshers 8% 6% 20% 11% 8% 11%
No 54% 26% 29% 26% 23% 43%
P=0.002
“Are people in other department sufficiently trained
to work across sectors on nutrition actions?”
18
Source: PoSHAN data 2013
“Do you feel that your department is sufficiently
consulted on nutrition strategies/solutions?”
Yes No
Region 17% 49%
District 35% 47%
Ilaka 29% 52%
All (mean) 32% 49%
19Source: Swart et al. (2008) Nutrition: Primary Health Care Perspective (Durban)
20
Appropriate sample frames and RCT approach to
policy research?
Analytical approach connecting date on policy
fidelity outcomes at field level?
What is ‘the counterfactual’ in policy and
implementation process enhancement?
Determining ‘significance’ in policy analysis.
So many questions…
Agency Annual Cost Inputs and services provided
World Bank $30 per child Vitamin supplements, deworming, iron fortification of
staples, salt iodization, CMAM
REACH $36 per child Soap, bednets, malaria treatment, home gardens, clean
water
SNRP (EU) $61 per person Nutrition education, water, hygiene, seeds, village
savings banks, extension services
WALA (USAID) $61 per person Seeds, irrigation, nutrition and health education, health
services, microfinance
Millennium
Villages
$120 per
household
Village storage, seeds, clinics and schools, seeds,
internet access, phones
IFSP Mulanje $46 per person Seeds, irrigation, food-for-work (trees, roads),
livelihoods (training, inputs), food technology
Malawi
“How much investment is needed
remains an unanswered question of
fundamental importance.”
World Bank (2010) Scaling Up Nutrition
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Patrick Webb "Understanding the Roles of Individuals in Institutions"

  • 1. 1 Patrick Webb Sept 2013 Science Forum Understanding the Roles of Individuals in Institutions
  • 2. 2 Source: WHO (2013) Global Nutrition Policy Review
  • 3. 3 What strategies are effective for enabling multi-sectoral coordination and coherence for nutrition? What types of institutional investments and capacity building yield the best systemic and strategic capacity? How should resources allocated to nutrition-sensitive programmes be assigned to nutrition improvement? Research priorities in 2013 Lancet Series (Paper 4)
  • 4. 4 Programme and Policy Stages and Stakeholders Source: Leroy J L , Menon P (2008) J. Nutr. 138:628-9
  • 5. Source: Masset et al. 2011
  • 6. 6 World Bank (2010) What can we learn from nutrition impact evaluations? Washington, D.C.
  • 7. Nat’l policy makers& District officials, front-line workers & program implementers Focus Lead Collaborators VaRG, PAHS, Tribuvan U. Understand agriculture-to- nutrition linkages thru population-based assessments Population-based: Communities, Households, Mothers and Children<5 yrs Goal Understand policy and programming processes IOM, NARC, New Era, NTAG PoSHAN Study Policy and Science for Health, Agriculture and Nutrition Process Community
  • 8.
  • 9. Legend Terai Hill Districts Mountain Districts 9 Service Delivery Levels Sector Coordination Levels Cross-ministry coordination level Cross-policy and donor coordination Policy, institutions, governance
  • 10. 10 Source: Own data 2013 Level Institution/Individual National Policy makers, donors, INGOs, academics Regional Administrator, RD Health, RD Agriculture, RD Livestock, RD Education, RD DWS, RDWD District LDO, DHO/DPHO, Agriculture, Livestock, Education, DWS, Program Office, Social Dev, Sec DDC, Planning Off, NGO Federation, implementing NGOs Ilaka Health, Agriculture, Livestock, Education VDC VDC Secretary, Health, Agriculture, Livestock, Education, NGOs Ward FCHV, Representative – Ward Citizen Forum, Representative MG, Representative Cooperative/Groups
  • 11. 11 Source: PoSHAN data 2013 Sector Frequency Valid Percent Local Gov./Social Development 76 19.7 Health 46 11.9 Agriculture and Livestock 89 23.1 Education 46 11.9 Water Supply 26 6.7 NGO/Private 103 26.7 Total 386 100 Sectors Interviewed (386/755)
  • 12. 12 Source: PoSHAN data 2013 Government official 283 73.3 NGO official 97 25.1 INGO official 6 1.6 Total 386 100 Respondent type/function
  • 13. 13 Source: PoSHAN data 2013 Region District Ilaka VDC Ward P value Worms 20.7 7.9 3.8 0.016 Lack of awareness of supplementary foods, micronutrient deficiencies 13.8 3.2 0 0.002 High workload and lack of care of children 0 15.1 22.8 0.014 N=29 N=278 N=79 Perceptions of underlying causes of malnutrition N= 369 more
  • 14. 14 Source: Own data 2013 Regional District Ilaka % % % 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 0 0 1.3 0.143 Incentives to collaborate across sectors
  • 15. 15 Source: PoSHAN data 2013 Lack of fuel/transportation facilities to field Lack of interest/motivation Too heavy workload already Lack of skills and capacity to work across sectors Bureaucratic constraints to cross-ministry work Political uncertainty (mixed or no signals) Reported disincentives to cross-sectoral collaboration
  • 16. 16 Source:PoSHAN data 2013 Local Development and Social Development Health Agriculture and Livestock Education Water Supply NGOs 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 “Are people in your own department sufficiently trained to work across sectors on nutrition actions?”
  • 17. 17 Source: Own data 2013 Local Development and Social Development Health Agriculture and Livestock Education Water Supply NGOs Yes 22% 33% 33% 35% 42% 34% Yes but need refreshers 8% 6% 20% 11% 8% 11% No 54% 26% 29% 26% 23% 43% P=0.002 “Are people in other department sufficiently trained to work across sectors on nutrition actions?”
  • 18. 18 Source: PoSHAN data 2013 “Do you feel that your department is sufficiently consulted on nutrition strategies/solutions?” Yes No Region 17% 49% District 35% 47% Ilaka 29% 52% All (mean) 32% 49%
  • 19. 19Source: Swart et al. (2008) Nutrition: Primary Health Care Perspective (Durban)
  • 20. 20 Appropriate sample frames and RCT approach to policy research? Analytical approach connecting date on policy fidelity outcomes at field level? What is ‘the counterfactual’ in policy and implementation process enhancement? Determining ‘significance’ in policy analysis. So many questions…
  • 21. Agency Annual Cost Inputs and services provided World Bank $30 per child Vitamin supplements, deworming, iron fortification of staples, salt iodization, CMAM REACH $36 per child Soap, bednets, malaria treatment, home gardens, clean water SNRP (EU) $61 per person Nutrition education, water, hygiene, seeds, village savings banks, extension services WALA (USAID) $61 per person Seeds, irrigation, nutrition and health education, health services, microfinance Millennium Villages $120 per household Village storage, seeds, clinics and schools, seeds, internet access, phones IFSP Mulanje $46 per person Seeds, irrigation, food-for-work (trees, roads), livelihoods (training, inputs), food technology Malawi “How much investment is needed remains an unanswered question of fundamental importance.” World Bank (2010) Scaling Up Nutrition