Peanut-based School Meals in Rural Ghana to Improve Attendance and Retention (PEANUT-SMART)
The goal of this clinical trial is to test daily provision of peanut paste-based milk-containing ready-to-use school food (PM-RUF) in children 5-17 years of age in Ghana . The main question it aims to answer is:
- Will provision of PM-RUF as a daily school meal improve attendance, improve matriculation, and/or reduce dropouts among Ghanaian schoolchildren 5-17 years of age in Mion District as compared with provision of a common local flour made of rice/millet?
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
School feeding programs offer an opportunity to advance individual and community health and well-being, especially in contexts of poverty and limited diet quality. When compared with no school feeding, school feeding has been shown to improve attendance, reduce dropouts, and strengthen household food security.
In many low- and middle-income countries (LMICs), a model called Home-Grown School Feeding (HGSF) has been employed in an effort to increase the coverage of school feeding programs. This model involves local growing, procurement, and cooking of school meals, thereby aiming to boost local economies and improve sustainability. A potential drawback of this approach is the nutritive quality of the school meals, which will depend on what is typically grown and procured in the program. In areas of higher food insecurity, such a program may largely provide the foods to which children already have access, rather than nutrients their diets may be missing. Additional concerns include costs related to decentralized procurement and cooking, as well as food safety, which is more challenging to monitor in such a program.
Peanut paste-based school meals might offer benefits as an alternative. Local production is possible, as is done for ready-to-use supplementary and therapeutic foods. Local ingredient sourcing could offer similar economic and sustainability advantages. Peanut pastes are food safe with long storage capabilities. They also provide a matrix into which varied ingredients can be added while maintaining organoleptic acceptability to children. Finally, in regions where current government-run HGSF programs suffer from inadequate funds and instability, local production and distribution of RUFs (ready to use foods) might improve reliability and impact school attendance, dropouts, and matriculation.
This study is a cluster-randomized, controlled, investigator-blinded superiority trial. Schools will be randomized to receive PM-RUF or local rice/millet flour for porridge. PM-RUF will contain peanut, palm oil, sugar, fat-free milk powder, and 0.5-1 RDA (recommended dietary allowances) of 14 micronutrients. Attendance will be tracked with the use of fingerprint biometric scanning each day.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Peter Kidd, BS
- Phone Number: 3146089141
- Email: kiddp@wustl.edu
Study Contact Backup
- Name: Mark Manary, MD
- Phone Number: 314-454-2178
- Email: manarymj@wustl.edu
Study Locations
-
-
-
Afayili, Ghana
- Recruiting
- Afayili Islamic primary school
-
Bofoyili, Ghana
- Recruiting
- Bofoyili E/P JHS
-
Bofoyili, Ghana
- Recruiting
- Bofoyili primary school
-
Jimile, Ghana
- Recruiting
- Jimle AME Zion JHS
-
Jimile, Ghana
- Recruiting
- Jimle/Guma R/C primary school
-
Kanimo, Ghana
- Recruiting
- Kanimo R/C JHS
-
Kpabia, Ghana
- Recruiting
- Kpabia Islamic JHS
-
Kpuligini, Ghana
- Recruiting
- Kpuligini Islamic primary school
-
Kusheli, Ghana
- Recruiting
- Kusheli Islamic primary school
-
Mbatinga, Ghana
- Recruiting
- Mbatinga Islamic primary school
-
Mion, Ghana
- Recruiting
- St. Anthony primary school
-
Nadundo, Ghana
- Recruiting
- Nadundo R/C JHS
-
Nalogno, Ghana
- Recruiting
- Nalogno Methodist JHS
-
Salankpang, Ghana
- Recruiting
- Salankpang A.M.E Zion primary school
-
Salwelsi, Ghana
- Recruiting
- Zakpalsi Issawiya E/A primary school
-
Sambu, Ghana
- Recruiting
- Sambu Islamic JHS
-
Sang, Ghana
- Recruiting
- Sang Islamic JHS
-
Sang, Ghana
- Recruiting
- Sang Zakaria Islamic JHS
-
Tuwua, Ghana
- Recruiting
- Tuwua R/C JHS
-
Yabogu, Ghana
- Recruiting
- Yabogu Islamic primary school
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Provision of signed (or thumb-printed) and dated informed consent form by parent/guardian
- Enrolled at level Basic 1 or higher in a participating school
- Parent/guardian stated willingness to comply with all study procedures and availability for the duration of the study, including no plan to move from the catchment area of a participating school
- 5 - 17 years of age
Exclusion Criteria:
- Known allergy to components of intervention or control study food or medications
- Condition requiring immediate hospitalization
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Ready-to-use school food
Provision of peanut paste-based, milk-containing ready-to-use school food (PM-RUF)
|
80 grams of peanut paste-based food containing skim milk powder, cowpea, peanuts, vegetable oil, and multiple micronutrients
|
|
Active Comparator: Standard school meal
Provision of flour made from millet + rice (local food) as school food
|
300ml of porridge made with rice/millet flour
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Attendance percentage
Time Frame: 11-30 months from enrollment
|
Percent attendance will be compared between PM-RUF and rice/millet flour groups using ordinal logistic regression with school as a random effect to account for clustered randomization, and including the covariates used in stratified, covariate-constrained randomization.
Odds ratios with 95% confidence interval (CI) will be reported as well as model-derived median of differences with 95% CI.. Higher numbers are better.
Maximum is 100%.
|
11-30 months from enrollment
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Dropout from school
Time Frame: 11-30 months
|
Dropout is a binary outcome, defined as no attendance for 3 consecutive months, and the time from enrollment to last day of school attended will define time-to-dropout.
Dropouts will be analyzed using time-to-event analysis with Cox proportional hazards regression.
A random effect for school will be included to account for clustered randomization.
The reported effect measure will be a hazard ratio with 95% CI.
Censoring will occur at graduation from the school and moving away from school's catchment area.
|
11-30 months
|
|
Matriculation
Time Frame: 11-30 months
|
Matriculation is a binary outcome defined by attendance at a subsequent grade after completing a school year.
Logistic regression with a random effect for school will be used to analyze matriculation to subsequent school grade.
This will be repeated for each school year included in the study.
The reported effect measure will be an OR with 95% confidence interval.
|
11-30 months
|
|
Afternoon attendance percentage
Time Frame: 11-30 months
|
Defined as attendance registered following lunch break.
Percent afternoon attendance will be compared between PM-RUF and rice/millet flour groups using ordinal logistic regression with school as a random effect to account for clustered randomization.
Odds ratios with 95% CI will be reported as well as model-derived medians of difference with 95% CI.
Higher numbers are better.
Maximum is 100%.
|
11-30 months
|
|
New Attendees
Time Frame: 11-30 months
|
New attendees are defined as new enrollments in school after initiation of school feeding.
The number of new attendees as a percent of the school population they join will be analyzed using ordinal logistic regression with school as random effect, and variables used in stratified, covariate-constrained randomization as covariates.
Higher numbers are better.
|
11-30 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Mark Manary, MD, Washington University School of Medicine
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 202404055
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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