Optimal Design of Digital Early Childhood Development Interventions: A Multifactorial Randomized Control Trial

Last registered on June 07, 2024

Pre-Trial

Trial Information

General Information

Title
Optimal Design of Digital Early Childhood Development Interventions: A Multifactorial Randomized Control Trial
RCT ID
AEARCTR-0008419
Initial registration date
May 05, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 12, 2023, 5:24 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
June 07, 2024, 2:36 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
Harvard Graduate School of Education

Other Primary Investigator(s)

PI Affiliation
Harvard Graduate School of Education
PI Affiliation
World Bank
PI Affiliation
IPECE - Instituto de Pesquisa e Estratégia Econômica do Ceará
PI Affiliation
Harvard Graduate School of Education & CESED, Universidad de los Andes

Additional Trial Information

Status
On going
Start date
2023-01-20
End date
2024-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The COVID-19 pandemic has increased demand for virtual early learning programs in low- and middle-income countries. However, little is known about these programs’ effectiveness or how they may address post-pandemic opportunity gaps for marginalized populations at scale. This study will examine the sustained impacts of Afini, a technology-based, interactive chatbot that uses artificial intelligence to recommend customized, culturally-sensitive activities that parents complete with young children (0- to 3-year-olds) to promote early learning and development. To do so, we will follow families participating in the national parenting program that aims to provide child stimulation for children living in poverty in the State of Ceará, Brazil. Using a multifactorial randomized controlled trial, we will (1) estimate the sustained impacts of Afini on parental behavior, mental health, and child development outcomes, (2) explore whether these impacts vary across different dimensions (e.g., child gender, maternal education, child development at baseline), (3) identify the components of Afini (e.g., delivery platform) that maximize cost-effectiveness. We will also conduct a qualitative assessment to gather participants’ feedback, regarding program benefits and drawbacks. This research will inform policymakers on whether and how to implement digital learning programs for low-income families in a scalable setting. In doing so, we aim to promote more positive and equitable trajectories of life-long learning at scale for children in low- and middle-income countries.
External Link(s)

Registration Citation

Citation
Cuartas, Jorge et al. 2024. "Optimal Design of Digital Early Childhood Development Interventions: A Multifactorial Randomized Control Trial." AEA RCT Registry. June 07. https://doi.org/10.1257/rct.8419-2.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Afini (i.e., the intervention) is an interactive “virtual assistant” that uses a chatbot to recommend simple, fun, age-appropriate activities that parents and other caregivers can complete with young children to support child development. Afini includes 1,500 activities that have been delivered to 70,000 users in Latin America. Afini’s activity recommendations are evidence-based and reflect principles of behavioral economics (e.g., by providing scientific rationale for the activities). Although they are designed to be “culturally neutral,” Afini activities can be adapted to reflect materials, games, and concepts that are most relevant to a given context or program. Activities focus largely on supporting children’s language, cognitive, motor, and social-emotional development.

We will test the benefits of Afini as an add-on to the Criança Feliz national home visiting program (relative to a control group that will keep receiving the Criança Feliz program as usual) and the relative benefits of specific Afini features, focusing on tradeoffs for cost-effectiveness. Specifically, we will examine:
1. delivery through a standalone app (a lower-cost alternative that does not rely on third-party fees) vs. WhatsApp messenger (an existing provider trusted by families, which may improve engagement);
2. sending alerts (i.e., unsolicited activity recommendations) once (less expensive) vs. twice (more intensive) per week;
3. customizing content to caregiver preference (may improve engagement) vs. children’s developmental needs (may lead to greater child-level impact).

Afini seeks to promote young children’s healthy development by supporting these day-to-day interactions that serve as the basis of nurturing care. Our theory of change is that parents (or other caregivers in the home) will engage with Afini and complete recommended activities with children. These processes will lead to improvements in parents’ knowledge, provision of stimulation, and mental health, which will improve the quality of their interactions with children as well as children’s ECD outcomes (i.e., motor, cognitive, language, and social-emotional skills). We hypothesize that Afini will benefit families already receiving home visiting because, unlike Criança Feliz (which does not currently have a defined curriculum), Afini provides concrete, specific, and customized activity recommendations designed specifically for vulnerable families (e.g., minimal text, few required materials). Furthermore, Afini can be used at families’ convenience, improving accessibility.
Intervention (Hidden)
Afini (i.e., the intervention) is an interactive “virtual assistant” that uses a chatbot to recommend simple, fun, age-appropriate activities that parents and other caregivers can complete with young children to support child development. Afini includes 1,500 activities that have been delivered to 70,000 users in Latin America. Afini’s activity recommendations are evidence-based and reflect principles of behavioral economics (e.g., by providing scientific rationale for the activities). Although they are designed to be “culturally neutral,” Afini activities can be adapted to reflect materials, games, and concepts that are most relevant to a given context or program. Activities focus largely on supporting children’s language, cognitive, motor, and social-emotional development.

We will test the benefits of Afini as an add-on to the Criança Feliz home visiting program (relative to a control group that will keep receiving the Criança Feliz program as usual) and the relative benefits of specific Afini features, focusing on tradeoffs for cost-effectiveness. Specifically, we will examine:
1. delivery through a standalone app (a lower-cost alternative that does not rely on third-party fees) vs. WhatsApp messenger (an existing provider trusted by families, which may improve engagement);
2. sending alerts (i.e., unsolicited activity recommendations) once (less expensive) vs. twice (more intensive) per week;
3. customizing content to caregiver preference (may improve engagement) vs. children’s developmental needs (may lead to greater child-level impact).

Afini seeks to promote young children’s healthy development by supporting these day-to-day interactions that serve as the basis of nurturing care. Our theory of change is that parents (or other caregivers in the home) will engage with Afini and complete recommended activities with children. These processes will lead to improvements in parents’ knowledge, provision of stimulation, and mental health, which will improve the quality of their interactions with children as well as children’s ECD outcomes (i.e., motor, cognitive, language, and social-emotional skills). We hypothesize that Afini will benefit families already receiving home visiting because, unlike Criança Feliz (which does not currently have a defined curriculum), Afini provides concrete, specific, and customized activity recommendations designed specifically for vulnerable families (e.g., minimal text, few required materials). Furthermore, Afini can be used at families’ convenience, improving accessibility.
Intervention Start Date
2023-04-15
Intervention End Date
2024-05-31

Primary Outcomes

Primary Outcomes (end points)
1. Child Development: We will use the Caregiver-Reported Early Development Instruments - Long Form (CREDI-LF) with a full sample and the Global Scales of Early Development - Long Form (GSED-LF) with a subsample.
Primary Outcomes (explanation)
The CREDI-LF is a parent-reported tool to measure child development using simple yes/no questions that has been used and validated in multiple countries, including Brazil, and demonstrates adequate psychometric properties to measure with precision motor, cognitive, language, and social-emotional development.

The GSED-LF is a direct assessment of child development, and we use it to complement the parent-report approach of the CREDI. The GSED was developed by a large team of researchers led by the WHO (including Dr. McCoy), designed to be culturally-neutral, and validity evidence has been collected from multiple countries. While it covers multiple domains, it produces a single overall development score.

Secondary Outcomes

Secondary Outcomes (end points)
1. Caregiver mental health: The Depression, Anxiety and Stress Scale - 21 Items (DASS-21)
2. Parents’ early stimulation: Family Care Indicators (FCI) and Parenting Styles and Dimensions Questionnaire (PSDQ)
3. Parents’ discipline behaviors: Conflict Tactics Scales: Parent-child Version (CTSPC)
4. Parent self-efficacy: Self-efficacy for Parenting Tasks Index-Toddler Scale (SEPTI-TS)
Secondary Outcomes (explanation)
1. Caregiver mental health: The Depression, Anxiety and Stress Scale - 21 Items (DASS-21) is a self-reported measure to capture common symptoms of depression, anxiety, and overall stress for parents. The DASS-21 has been implemented in Latin America & the Caribbean and exhibits adequate validity and psychometric properties. We will use the Depression and Stress scales

2. Parents’ early stimulation: The Family Care Indicators (FCI) have been used extensively across low- and- middle-income countries and South America, particularly in impact evaluations and large-scale household surveys (such as UNICEF’s Multiple Indicators Cluster Survey). The FCI will allow us to characterize caregivers’ engagement in stimulation and learning activities, such as playing, singing, or telling stories. To complement the FCI, specifically focusing on positive stimulation related to the non-cognitive development of the child, we add a few items from the Warmth and Support domain of the PSDQ (Oliveira et al., 2018).

3. Parents’ discipline behaviors: The CTSPC is a parent report measure of their discipline behaviors, originally developed and validated in the US (Straus et al., 1998) and also validated in Brazilian (Bonfim et al., 2011; Reichenheim & Moraes, 2006). Specifically, we will use a subset of the CTSPC, including some items in the Minor Physical Assault and Psychological Aggression domains, which are related to physical and psychological discipline behaviors relatively common in Brazil.


4. Parenting self-efficacy: The SEPTI-TS was originally developed in the U.S. (Coleman & Karraker, 2003) and has undergone validation for diverse populations, including the Dutch population (van Rijen et al., 2014) and the French-speaking population (Meunier & Roskam, 2009). We decided to use a subset of the Self-efficacy for Parenting Tasks Index-Toddler Scale (SEPTI-TS; Coleman & Karraker, 2003). Specifically, we use items from the Nurturance/Valuing/Empathetic Responsiveness, Play, and Teaching domains.

Experimental Design

Experimental Design
The project will conduct a randomized controlled trial and a multifactorial experiment, gathering two points of data for the evaluation (baseline and follow-up).
Participants will include parents (or primary caregivers) of children under age 30 months who are participating in the national home visiting program for socioeconomically vulnerable families (Criança Feliz) in the state of Ceará. We will recruit families for participation in this study using a government administrative database for vulnerable families with children under age three (i.e., the Cadastro Único). Staff from Criança Feliz will recruit potential participants.
We planned this trial with the objective of assessing impact in real implementation. As such, we randomized in advance to baseline, when informed consent was collected by trained enumerators. We had initially planned to include 3,200 families and 290 home visitors, but we obtained consent from 1,599 families receiving services from 281 home visitors nested in 200 Centros de Referencia de Asistencia Social (CRAS) from 41 municipalities. As such, our sample comprises 1,599 families and 281 home visitors.
We randomized the 290 home visitors to a treatment group (which will receive the Afini intervention plus normal Criança Feliz services; 60%) or a control group (which will receive normal Criança Feliz services only; 40%). The randomization was conducted in Stata 17 MP.
Subsequently, consistent with a multifactorial design, we re-randomized the home visitors in the treatment group according to the following factors (there are 8 unique conditions, reflecting the different combinations of these factors):
1. delivery through a standalone app vs. WhatsApp messenger;
2. sending alerts once vs. twice per week;
3. customizing content to caregiver preference vs. children’s developmental needs.
Experimental Design Details
The project will conduct a randomized controlled trial and a multifactorial experiment, gathering two points of data for the evaluation (baseline and follow-up).
Participants will include parents (or primary caregivers) of children under age 30 months who are participating in the national home visiting program for socioeconomically vulnerable families (Criança Feliz) in the state of Ceará. We will recruit families for participation in this study using a government administrative database for vulnerable families with children under age three (i.e., the Cadastro Único). Staff from Criança Feliz will recruit potential participants.
We planned this trial with the objective of assessing impact in real implementation. As such, we randomized in advance to baseline, when informed consent was collected by trained enumerators. We had initially planned to include 3,200 families and 290 home visitors, but we obtained consent from 1,599 families receiving services from 281 home visitors nested in 200 Centros de Referencia de Asistencia Social (CRAS) from 41 municipalities. As such, our sample comprises 1,599 families and 281 home visitors.
We randomized the 290 home visitors into two groups within municipality strata: a treatment group (which will receive the Afini intervention plus normal Criança Feliz services; 60%) and a control group (which will receive normal Criança Feliz services only; 40%). The randomization was conducted in Stata 17 MP.

Subsequently, consistent with a multifactorial design, we re-randomized the home visitors in the treatment group according to the following factors (there are 8 unique conditions, reflecting the different combinations of these factors):
1. delivery through a standalone app vs. WhatsApp messenger;
2. sending alerts once vs. twice per week;
3. customizing content to caregiver preference vs. children’s developmental needs.
Randomization Method
Randomization done in office by a computer, using Stata 17 MP
Randomization Unit
Home visitor
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
Planned: 290 home visitors. Effective: 281 home visitors
Sample size: planned number of observations
Effective sample: 1,599 caregiver-child dyads. Our sampling frame included 3,200 caregiver-child dyads linked to 290 home visitors. The planned sample assumed that 50% (1600) would provide consent to participate in the study. Our effective sample, after requesting consent is 1,599 caregiver-child dyads
Sample size (or number of clusters) by treatment arms
164 home visitors in the treatment group and 117 home visitors in the control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Planned sample: MDES=0.24 SD, assuming 10% attrition, 50% of families provide consent, 30% takeup, alpha=0.05; power=0.80; ICC=0.04 Effective sample: MDES=0.34 SD, assuming 20% attrition and 30% takeup, alpha=0.05; power=0.80; ICC=0.04
Supporting Documents and Materials

Documents

Document Name
Protocol submitted to the IRB
Document Type
irb_protocol
Document Description
File
Protocol submitted to the IRB

MD5: 2576326cf51752405f25ca400383d5e1

SHA1: 585b2454614cd630cab0084cb98621ed3f855453

Uploaded At: July 20, 2022

Document Name
Parent survey
Document Type
survey_instrument
Document Description
File
Parent survey

MD5: 314901cf38619e65448ffcf5a35979de

SHA1: dba10b809aa85fbff4d3d4c9e085dd0dc3f9bfe9

Uploaded At: July 20, 2022

IRB

Institutional Review Boards (IRBs)

IRB Name
Comissão Nacional de Ética em Pesquisa (CONEP)
IRB Approval Date
2022-07-14
IRB Approval Number
N/A
IRB Name
Committee on the Use of Human Subjects - Harvard University
IRB Approval Date
2022-07-18
IRB Approval Number
IRB22-0683
IRB Name
Committee on the Use of Human Subjects - Harvard University
IRB Approval Date
2022-07-18
IRB Approval Number
IRB21-1644
Analysis Plan

Analysis Plan Documents

Analysis Plan_0607

MD5:

SHA1:

Uploaded At: June 07, 2024

Post-Trial

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

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