call girls in Mayapuri DELHI 🔝 >༒9540349809 🔝 genuine Escort Service 🔝✔️✔️
Training Session 1 – Olney – How can decision-making indicators be improved in an integrated ag-nutrition program?
1. How can decision-making
indicators be improved in the
context of an integrated
agriculture and nutrition
program?
2. Women’s Empowerment: Decision-making indicators
Component Questions included Response codes Range alpha T1, T2
Purchasing decisions Can you make the decision to purchase the following items? no=0; yes=1 0 to 8 0.89, 0.90
1. Small quantities of food, such as rice, vegetables, and bean
2. Larger quantities of food, such as bags of rice
3. Clothing for yourself
4. Medication for yourself
5. Toiletries such as soap and toothpaste
6. Medication for children?
7. Special foods for your children
8. Can you decide how to spend your money
Healthcare decisions Which household members decide most often about the following
issues?
Woman contributes: no=0; yes=1 0 to 2 0.57, 0.77
1. Consult a doctor or go to a clinic when you are pregnant
2. What to do when a child is sick
Family planning
decisions
Which household members decide most often about the following
issues?
Woman contributes: no=0; yes=1 0 to 2 0.66, 0.64
1. Use a contraceptive method
2. Have another child
IYCF decisions Which household members decide most often about the following
issues?
Woman contributes: no=0; yes=1 0 to 2 0.69, 0.57
1. If you breastfeed a child and when you wean
2. How to feed the child during the first year of his or her life
3. Impact of the E-HFP program on women’s
decision-making and social capital
Purchasing decisions
(0-8)
**
2
1.8
1.6
1.4
1.2
1
0.8
0.6
0.4
0.2
Healthcare decisions (0-2)
**
Impact estimate = 0.9 ** Impact estimate = 0.2 **
8
7
6
5
4
3
2
1
0
Baseline Endline
Control Intervention
0
Baseline Endline
Control Intervention
No impact on family planning decisions or infant and young child feeding decisions.
1Difference-in-difference (DID) impact estimates between control and intervention groups and controlled for age and adjusted for
clustering, and attrition.** p<0.05 for DID estimates.
4. 4 study groups
25 old control villages + 5 new
villages
30 old villages of intervention
EHFP
(15 villages)
EHFP+WASH
(15 villages)
EHFP+WASH
(15 villages)
EHFP+WASH+LNS
(15 villages)
EHFP
Newly
introduced
Newly
introduced
Since 2010 in the
community
Since 2010 in the
community
BCC-ENA
Newly
introduced
Newly
introduced
Since 2010 in the
community
Since 2010 in the
community
BCC-WASH/
malaria
no WASH/malaria WASH/malaria WASH/malaria
SQ-LNS no no no LNS