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The ENSAND project has been modified to focus on vegetable consumption in smallholder farmer households rather than egg consumption among children. The revisions are substantial enough to warrant closing this record and creating a new record.
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| Name | Class |
|---|---|
| Datametrics Associates Ltd | UNKNOWN |
| University of Nigeria Nsukka | OTHER |
| University of Abuja | OTHER |
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The Global Alliance for Improved Nutrition (GAIN) is implementing a program in 4 countries to increase consumption of healthy foods by improving supply, increasing demand, and improving the enabling environment for different targeted foods by operating at multiple levels - individuals, households, markets, producers, and policies. In Nigeria, the program is called Enhancing Access to Safe and Nutritious Diets (ENSAND). RTI and local partners propose to conduct impact and process evaluations of GAIN's program tailored to the theory of change and the target food for Nigeria. The evaluation in Nigeria will include a mix of quantitative and qualitative methods and will be guided by the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) evaluation framework.
ENSAND seeks to increase the frequency of egg consumption among students in classes 1-3 in public primary schools and their younger siblings aged 6-59 months in local government areas (LGAs) with a high proportion of bottom of the pyramid (BoP) households. GAIN's intervention is two-pronged in Kaduna State. One component will involve improving the egg value chain supplying the Home-Grown School Feeding Program (HGSFP) for primary school children and the other will involve using a social marketing approach to increase parents' willingness to purchase and feed eggs to their young children aged 6-59 months. In Federal Capital Territory (FCT) and Kebbi States, GAIN's intervention will focus only on supplying eggs to primary school children.
This evaluation of the ENSAND program will use a parallel group mixed-methods quasi-experimental before-after design to assess the effectiveness of the intervention on children's frequency of egg consumption in Kaduna (intervention) and Kano (control) States. The evaluation will be carried out in 3 intervention and 3 control LGAs, with clustering at the level of the school. Data will be collected through household surveys with caregivers and school-aged children (N=1,332 at baseline and endline), egg value chain actor key informant interviews (KIIs, N=3) and semi-structured interviews (N=191) at baseline, midline, and endline, and focus group discussions (FGDs, N=9 FGDs at midline and endline) with caregivers of young children. Households with school- and pre-school aged children will be identified through the sampled public primary schools, and caregivers and school-aged children will be interviewed at baseline and endline in intervention and control LGAs. The same schools will be used at both times points but cross-sectional samples will be drawn at baseline and endline. Egg value chain actors will be identified in the intervention LGAs in Kaduna to participate in KIIs and semi-structured interviews at baseline, midline, and endline to assess changes in the functioning of the value chain over time. FGDs with caregivers of young children will be conducted at midline and endline. The qualitative findings will be used to understand experiences with the interventions and findings will be triangulated with results from the household and egg value chain interviews.
In FCT and Kebbi, the evaluation will be limited to KIIs (N=4) and semi-structured interviews (N=102) with egg value chain actors at baseline, midline, and endline. The findings will be used to validate and triangulate with the monitoring data GAIN will be collecting from value chain actors.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention | Active Comparator |
| |
| Control/No intervention | No Intervention |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Food system and demand generation | Behavioral | The project is focused on improving egg consumption through enhanced availability, accessibility, and improved demand. To achieve this goal, the project intervention mix will work through three pathways: access, enabling environment, and demand. The access pathway aims to sustain availability and consumption of eggs by school children (age 6-9 years) from BoP households through interventions targeted at the Poultry Association of Nigeria (PAN) and state lead egg aggregators for the HGSFP. The enabling environment pathway focuses on the broader institutional, governance, and political factors to support accessibility, availability, improved consumption, and increased consumer demand for eggs. The demand pathway will be addressed by mass media and interpersonal communication to increase the willingness and motivation of parents/caregivers in BoP households to support and sustain egg consumption by pre-school children in Kaduna State. |
| Measure | Description | Time Frame |
|---|---|---|
| Frequency of egg consumption by primary school children | Change in the mean frequency of egg consumption during the last 7 days by children in primary school classes 1-3 in BoP households | Baseline (August 2023), Endline (August 2026) (3 years) |
| Frequency of egg consumption by pre-school children | Change in the mean frequency of egg consumption during the last 7 days by children 6-59 months in BoP households | Baseline (August 2023), Endline (August 2026) (3 years) |
| Measure | Description | Time Frame |
|---|---|---|
| Frequency of egg purchase | Change in frequency of eggs purchased for children | Baseline (August 2023), Endline (August 2026) (3 years) |
| Number of eggs purchased | Change in number of eggs purchased for children |
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Different populations will be targeted for different data collection methods. Eligibility criteria are detailed below for each data collection method.
Household Surveys
Inclusion Criteria:
Egg Value Chain Interviews
Inclusion Criteria:
Focus Group Discussions with Caregivers
Inclusion criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Abiodun F Ipadeola | Datametrics Associates Ltd | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Datametrics Associates Ltd. | Abuja | Nigeria |
Dataset will be shared through Nesstar.
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Data will be collected through household surveys, value chain actor semi-structured interviews, KIIs, and FGDs. The protocol team has selected a subset of the intervention local government areas for the evaluation and identified an equal number of local government areas outside the program coverage area with similar characteristics to serve as the control.
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| Baseline (August 2023), Endline (August 2026) (3 years) |