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Peanut-based School Meals in Rural Ghana to Improve Attendance and Retention

Peanut-based School Meals in Rural Ghana to Improve Attendance and Retention

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06397989
Acronym
PEANUT-SMART
Enrollment
6200
Registered
2024-05-03
Start date
2024-05-07
Completion date
2026-11-01
Last updated
2026-04-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

School Attendance, School Dropouts, School Enrollment, School Feeding Programs, Child Nutrition

Brief summary

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?

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.

Interventions

DIETARY_SUPPLEMENTReady-to-use school food

80 grams of peanut paste-based food containing skim milk powder, cowpea, peanuts, vegetable oil, and multiple micronutrients

DIETARY_SUPPLEMENTStandard meal

300ml of porridge made with rice/millet flour

Sponsors

Washington University School of Medicine
Lead SponsorOTHER
University of Ghana
CollaboratorOTHER
United States Agency for International Development (USAID)
CollaboratorFED

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Investigator)

Masking description

Neither participants nor outcomes assessors (who perform biometric attendance tracking) will be blinded to allocation to PM-RUF vs. rice/millet flour. The trial statistician responsible for final analyses will remain blinded by use of letter assignment to each school. The code linking letter/school to intervention vs. control will remain locked and inaccessible to the trial statistician.

Intervention model description

Cluster-randomized, controlled, investigator-blinded superiority trial. Schools will be randomized to receive PM-RUF or local flour for porridge. Randomization will be stratified / covariate-constrained by primary vs. junior secondary school, school size, and distance from a main road.

Eligibility

Sex/Gender
ALL
Age
5 Years to 17 Years
Healthy volunteers
Yes

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

Design outcomes

Primary

MeasureTime frameDescription
Attendance percentage11-30 months from enrollmentPercent 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% confidence interval (CI) will be reported as well as model-derived median of differences with 95% CI. Higher numbers are better. Maximum is 100%.

Secondary

MeasureTime frameDescription
Dropout from school11-30 monthsDropout 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.
Matriculation11-30 monthsMatriculation 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.
Afternoon attendance percentage11-30 monthsDefined 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%.
New Attendees11-30 monthsNew 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. The outcome will be reported as an OR with 95% CIs. Higher numbers are better.

Countries

Ghana

Contacts

CONTACTMark Manary, MD
manarymj@wustl.edu314-454-2178
CONTACTPeter Kidd, BS
kiddp@wustl.edu3146089141
PRINCIPAL_INVESTIGATORMark Manary, MD

Washington University School of Medicine

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 4, 2026