NCT05202106

Brief Summary

About 250 million children under age five are at risk of not reaching their developmental potential due to continued exposure to ill health, malnutrition and lack of appropriate learning environments. A large number of initiatives have been launched in recent years to support early childhood development, with home visiting programs increasingly being recognized as a key strategy for improving child wellbeing. However, the most effective ways to reach families in low income settings remain unclear due to the large expense associated with personal family visits. This project assesses the effectiveness and equity of a newly developed digital platform designed to deliver evidence-based, individualized parenting support through automated services. The Afinidata platform uses state-of-the art machine learning algorithms to allow caregivers to get answers to questions about child health and development, while also identifying and promoting age- and development-appropriate activities for parents to support their children. The goal of this study is to rigorously assess the reach, impact and cost effectiveness of this digital platform in a poor rural population through a randomized controlled trial. The study is designed as mixed-methods evaluation approach with repeated feedback into the Afinidata system. A total of 2400 newborns will be enrolled in a randomized controlled trial in San Marcos, Peru, and followed up for two years. The primary study outcome will be children's healthy development at 24 months of age assessed through the Bayley Scales of Infant and Toddler Development (BSID-III). Secondary outcomes will be systems utilization, program coverage and cost-effectiveness, as well as caregiver satisfaction. If proven effective, this innovative digital platform may increase global access to low-cost parental support -a widely recognized key strategy for improving child well-being.

Trial Health

80
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,400

participants targeted

Target at P75+ for not_applicable

Timeline
2mo left

Started Sep 2021

Longer than P75 for not_applicable

Geographic Reach
2 countries

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress97%
Sep 2021Jun 2026

Study Start

First participant enrolled

September 1, 2021

Completed
4 months until next milestone

First Submitted

Initial submission to the registry

January 7, 2022

Completed
14 days until next milestone

First Posted

Study publicly available on registry

January 21, 2022

Completed
3.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2025

Completed
1.2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Expected
Last Updated

May 18, 2025

Status Verified

May 1, 2025

Enrollment Period

3.7 years

First QC Date

January 7, 2022

Last Update Submit

May 14, 2025

Conditions

Keywords

child developmentstimulationmobile phonesdigital interventions

Outcome Measures

Primary Outcomes (1)

  • Child Development at age 2 years

    The primary study outcome will be overall child development as measured by the Global Scales for Early Development (GSED). Total scores on the GSED scales will be converted to z-scores for the analysis. Higher scores indicate better outcomes.

    2 years

Secondary Outcomes (4)

  • Caregiver mental health and stress

    2 years after enrollment (child age 2)

  • Caregiver self-efficacy

    2 years after enrollment

  • Home stimulation

    Endline - 2 years after enrollment

  • Caregiver screen time

    Endline - 2 years after enrollment

Study Arms (3)

Control

NO INTERVENTION

Families in the control group will not receive any interventions and will simply complete baseline and endline surveys.

Home visits

EXPERIMENTAL

Families in the home visiting arm will receive visits by trained child development agents every two weeks between enrollment and 2 years of age.

Behavioral: Home visits

Afini

EXPERIMENTAL

Families in the Afini arm will be introduced to the Afini app on Messenger and encouraged to use this platform throughout the study.

Other: Afini App

Interventions

Home visitsBEHAVIORAL

Home visits entail a visit a children's home every two weeks. During this visit, trained child development agents will engage parents in activities with the child and provide basic toys and learning materials.

Home visits

Afini is an app designed to help parents provide nurturing environments and stimulation to their young children. Most caregivers currently connect to the platform via Facebook Messenger; once they sign up, the platforms start engaging the caregiver by recommending age-specific health- and development-promoting activities. Rather than just hoping that caregivers will later engage in these activities, the virtual assistant directly observes whether caregivers access the materials for the recommended activity, and asks caregivers to provide feedback on each task.

Afini

Eligibility Criteria

Age3 Months - 9 Months
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)

You may qualify if:

  • children residing in the study area

You may not qualify if:

  • children with disabilities
  • families planning to leave study area
  • families participating in national Cuna Mas program

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Cayetano Heredia University

Lima, Peru

RECRUITING

Swiss Tropical and Public Health Institute

Basel, Canton of Basel-City, 4051, Switzerland

RECRUITING

Related Publications (1)

  • Hartinger Pena SM, Mausezahl D, Jaggi L, Aguilar L, Alvarado Llatance M, Castellanos A, Huaylinos Bustamante ML, Hinckley K, Charles McCoy D, Zhang C, Fink G. Digital Support Systems to Improve Child Health and Development in Peru: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2023 Dec 14;12:e50371. doi: 10.2196/50371.

MeSH Terms

Interventions

House Calls

Intervention Hierarchy (Ancestors)

Professional PracticeOrganization and AdministrationHealth Services Administration

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
INVESTIGATOR, OUTCOMES ASSESSOR
Masking Details
Outcome assessors will be blinded to treatment, and final data analysis will be conducted using de-identified and blinded data.
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Model Details: This study is designed as an open-label, 3-arm parallel trial
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 7, 2022

First Posted

January 21, 2022

Study Start

September 1, 2021

Primary Completion

April 30, 2025

Study Completion (Estimated)

June 30, 2026

Last Updated

May 18, 2025

Record last verified: 2025-05

Data Sharing

IPD Sharing
Will share

The trial data will be made publicly available after publication of the study.

Shared Documents
STUDY PROTOCOL, ICF, ANALYTIC CODE
Time Frame
After publication

Locations