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Regular Growth Monitoring (RGM) of Young Children in Guinea-Bissau

Pilot Study to Assess the Benefits and Sustainability of Regular Growth Monitoring (RGM) of Young Children in Villages in Guinea-Bissau

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07584395
Enrollment
400
Registered
2026-05-13
Start date
2026-05-05
Completion date
2026-12-01
Last updated
2026-07-15

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

Conditions

Moderate Acute Malnutrition (MAM), Severe Acute Malnutrition

Keywords

Childhood malnutrition, Growth monitoring, Guinea-Bissau, Wasting, Mid-upper arm circumference

Brief summary

Wasting (severe thinness) is a common and serious problem among young children in rural Guinea-Bissau. Community Health Agents (CHAs) can help prevent malnutrition by regularly measuring children's growth and advising families on nutritious local foods. However, this practice is not consistently implemented. This pilot study will test whether implementing Regular Growth Monitoring (RGM) by CHAs every month is feasible and effective in reducing malnutrition among children aged 6 months to 5 years in two rural villages. Investigators will also compare three methods for measuring mid-upper arm circumference (MUAC), which is used to detect malnutrition: the standard WHO tape measure, a photograph of the arm, and a simple bracelet. The goal is to identify which method is easiest for CHAs to use reliably. Baseline and final measurements will be taken in both villages. One village will receive the monthly RGM intervention first, followed by the second village. Families will also be asked about their experiences with the program through brief questionnaires.

Detailed description

Wasting is prevalent in rural Guinea-Bissau villages and adversely affects child health and cognitive development long-term. Prior work by this team of investigators suggests that regular feedback from Community Health Agents (CHAs) to caregivers, including recommendations of locally available nutritious recipes for at-risk children, may reduce the incidence of moderate acute malnutrition (MAM) and severe acute malnutrition (SAM). However, routine growth monitoring (RGM) has been largely unfeasible at the village level due to measurement complexity and limited training resources. Modern technology and artificial intelligence may help make this more scalable. This is a proof-of-concept, sequential pilot study conducted in two villages in Guinea-Bissau with which the team has an established relationship. Baseline anthropometric measurements will be collected on all eligible children (aged 6 months to 5 years, without SAM at enrollment) in both villages. Children identified with SAM at baseline will be referred to the local malnutrition clinic and excluded from the study. One village will begin the RGM intervention immediately after baseline data collection. The second village will begin the intervention after final data collection in the first village. Assignment order will be by PI decision rather than randomization, as required by the collaborating UCSF team members. During the RGM period, CHAs will screen each child monthly using all three mid-upper arm circumference (MUAC) methods: (1) WHO tape measure (reference standard), (2) arm photograph, and (3) bracelet. Data will be entered into a secure REDCap database. Children meeting SAM criteria (by tape measure) will be referred to tertiary care; children with MAM will receive weekly CHA nutrition education on local recipes. Measurements collected at baseline and end-of-study include: weight, height, MUAC by all three methods, skinfold thicknesses (biceps and triceps), and family demographics. After study completion, brief questionnaires will be administered to parents, CHAs, and Ministry of Health staff to assess perceived effects, acceptability, feasibility, and preferences among the monitoring methods. This study has been approved by both the Dartmouth College CPHS and the Ministry of Health in Guinea-Bissau.

Interventions

BEHAVIORALRegular Growth Monitoring (RGM) by Community Health Agents

Monthly malnutrition screening by Community Health Agents (CHAs) using three MUAC methods: (1) WHO standard tape measure, (2) arm photograph for remote review, and (3) a solid bracelet device. The tape measure is the reference standard. Children identified with SAM are referred to a tertiary malnutrition clinic; children with MAM have their caregivers provided with weekly education on using local nutritious recipes to support recovery. Data are entered into REDCap and reviewed remotely by the US research team.

Sponsors

Trustees of Dartmouth College
Lead SponsorOTHER
University of California, San Francisco
CollaboratorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

In this interventional study model, one village begins RGM first. The second village will begin RGM immediately after final data collection in the first village.

Eligibility

Sex/Gender
ALL
Age
6 Months to 5 Years
Healthy volunteers
Yes

Inclusion criteria

* Children aged 6 months to 5 years residing in one of the two selected villages in Guinea-Bissau * Caregiver willing to enroll the child in the study (verbal consent provided) * Caregiver can provide birth certificate or documentation of child's age * Child does not have severe acute malnutrition (SAM) at the baseline assessment

Exclusion criteria

* Children diagnosed with severe acute malnutrition (SAM) at baseline (these children will be referred to the local malnutrition clinic) * Children whose caregivers do not wish to participate

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of severe acute malnutrition (SAM)Baseline to study completion (~4 months)Proportion of enrolled children meeting SAM criteria (by WHO tape measure MUAC) at study completion, compared between early-start and delayed-start villages.

Secondary

MeasureTime frameDescription
Prevalence of moderate acute malnutrition (MAM)Baseline to study completion (~4 months)Proportion of enrolled children meeting MAM criteria (by WHO tape measure MUAC) at study completion, compared between early-start and delayed-start villages.
Weight-for-length z-scoreBaseline to study completion (~4 months)Change in weight-for-length z-score between baseline and final assessment, compared between early-start and delayed-start villages
Weight-for-age z-scoreBaseline to study completion (~4 months)Change in weight-for-age z-score between baseline and final assessment, compared between early-start and delayed-start villages.
Length-for-age z-scoreBaseline and study completion (~4 months)Change in length-for-age z-score between baseline and final assessment, compared between early-start and delayed-start villages

Countries

Guinea-Bissau

Contacts

PRINCIPAL_INVESTIGATORSusan B. Roberts, Ph.D.

Dartmouth College

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 16, 2026