Msingi Bora: Achieving sustained impacts at scale with a mobile health (mHealth) ECD intervention - a Kenyan RCT

Last registered on January 12, 2024

Pre-Trial

Trial Information

General Information

Title
Msingi Bora: Achieving sustained impacts at scale with a mobile health (mHealth) ECD intervention - a Kenyan RCT
RCT ID
AEARCTR-0012704
Initial registration date
January 10, 2024

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
January 12, 2024, 3:33 PM EST

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

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Primary Investigator

Affiliation
University of Southern California

Other Primary Investigator(s)

PI Affiliation
University of Southern California
PI Affiliation
McGill University
PI Affiliation
Kenyatta University

Additional Trial Information

Status
On going
Start date
2023-10-23
End date
2025-12-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Background
An estimated 43% of children under age 5 in low- and middle-income countries (LMICs) experience compromised development due to poverty, poor nutrition, and inadequate psychosocial stimulation. Numerous early childhood development (ECD) parenting interventions have been shown to be effective at improving ECD outcomes, at least in the short-term, but they are a) still too expensive to implement at scale in low-resource and rural settings, and b) their early impacts tend to fade over time in the absence of continued support. New ways to deliver effective ECD parenting interventions are sorely needed that are both low-cost to be potentially scalable, while also able to sustain impacts long-term.

Methods
Our proposed study experimentally tests a traditional in-person group-based delivery model for an evidence-based ECD parenting intervention against a delivery model that partially substitutes remote (mHealth) delivery for in-person meetings. We will assess the relative effectiveness and costs of this hybrid-delivery model against purely in-person delivery and will extend the interventions over two years to increase their ability to sustain changes in child outcomes longer-term. Our evaluation design is a clustered Randomized Control Trial across 90 villages and 1200 households. We hypothesize that a hybrid-delivery ECD intervention will be lower cost, but remote interactions among participants may be an inferior substitute for in-person visits, leaving open the question of the most cost-effective program.

Discussion:
Our goal is to determine the best model to maximize the intervention’s reach and sustained impacts to improve child outcomes. By integrating delivery into the ongoing operations of local community health workers within Kenya’s rural health care system, and utilizing new low-cost technology, our project has the potential to make important contributions towards discovering potentially scalable, sustainable solutions for resource-limited settings.
External Link(s)

Registration Citation

Citation
Aboud, Frances et al. 2024. "Msingi Bora: Achieving sustained impacts at scale with a mobile health (mHealth) ECD intervention - a Kenyan RCT." AEA RCT Registry. January 12. https://doi.org/10.1257/rct.12704-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-01-22
Intervention End Date
2024-09-13

Primary Outcomes

Primary Outcomes (end points)
Child cognition, Parenting behaviors
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Cluster Randomized Controlled Trial
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer using STATA SE 18
Randomization Unit
Village
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
90 villages
Sample size: planned number of observations
1200 households
Sample size (or number of clusters) by treatment arms
30 control villages, 30 in-person group-delivery treatment villages, 30 hybrid-delivery treatment villages
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Southern California Institutional Review Board
IRB Approval Date
2022-05-05
IRB Approval Number
UP-22-00336
IRB Name
MASENO UNIVERSITY SCIENTIFIC AND ETHICS REVIEW COMMITTEE
IRB Approval Date
2023-03-27
IRB Approval Number
MUSERC/01201/23