Testing Content Delivery Models for MomConnect

NCT ID: NCT05505760

Last Updated: 2023-10-27

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

8867 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-05-30

Study Completion Date

2024-02-29

Brief Summary

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The case for mobile health (mHealth) has been gaining traction as a source to improve health outcomes of individuals. mHealth refers to the use of Information and Communication Technologies (ICT) to support health care. The ubiquity and penetration of mobile phones presents the opportunity to deliver health care services directly to citizens, with the greatest potential gains in under-resourced health ecosystems. Operating for 8 years and currently supporting 1.28 million mothers through their pregnancies and early childhood care, MomConnect represents one of the largest maternal health messaging platforms in the world. Implemented at the national level, MomConnect has been credited with being the first national-scale mHealth program of its kind and has won numerous international awards. As a WhatsApp-delivered service, MomConnect has been limited by WhatsApp's historical terms of service. In its current form, MomConnect can only start a conversation with mothers once a week by alerting them of their upcoming antenatal care (ANC) appointment. Recent changes to WhatsApp's terms of service have removed the restriction around push messages for certain programs, including MomConnect. Messages have historically been restricted to weekly conversation starters and carry only generic administrative reminder-style information. As a result, it is possible that many mothers are failing to engage with the content as much as they could. If mothers were more engaged, it could greatly increase exposure and knowledge of reducing the total number of mothers exposed to critical maternal and infant health content. With the updated terms of service, there is an opportunity to test different ways of engaging mothers. This study proposes to evaluate, through a randomized controlled trial (RCT), the relative effect of three new behaviorally-informed program models on key knowledge of and adoption of healthy behaviors.

Detailed Description

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Conditions

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Immunization Coverage Breastfeeding Hematological Diseases

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Participants

Study Groups

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Appointment Reminder Model

This is the current MomConnect WhatsApp model (control). Mothers receive weekly conversation starter messages reminding them about their upcoming clinic appointments, providing more comprehensive and relevant maternal health information only after mothers respond to the appointment reminder.

Group Type EXPERIMENTAL

Quality-Based Digital Messaging

Intervention Type BEHAVIORAL

The impact of MomConnect's models will be evaluated using a randomized controlled trial (RCT). Randomization will be at the individual level, where an individual refers to the "unique user", which is defined by the unique phone number used at the time of registration to MomConnect at health facilities. Randomizing control and treatment allocations ensures that the study groups will be comparable in terms of observable and unobservable characteristics in expectation. Therefore, statistical inference can shed light on the likelihood that any differences in outcome variables at the end of the intervention were caused by the intervention as compared to chance. We will also study the treatment effects on different outcomes between the different arms of the experiment - comparing outcomes across different treatment arms or outcomes in the control to outcomes in treatment arms will help us answer the aforementioned research questions.

Relevant Content Model (WhatsApp)

Mothers receive weekly conversation starter messages on WhatsApp, which carry both clinic appointment reminders along with some maternal and infant health information relevant to their pregnancy/postpartum stage. In addition, a list of "frequently asked questions" (FAQs) relevant to the week of pregnancy the mother is in are provided so that mothers can engage further with maternal health information topics relevant to them.

Group Type EXPERIMENTAL

Quality-Based Digital Messaging

Intervention Type BEHAVIORAL

The impact of MomConnect's models will be evaluated using a randomized controlled trial (RCT). Randomization will be at the individual level, where an individual refers to the "unique user", which is defined by the unique phone number used at the time of registration to MomConnect at health facilities. Randomizing control and treatment allocations ensures that the study groups will be comparable in terms of observable and unobservable characteristics in expectation. Therefore, statistical inference can shed light on the likelihood that any differences in outcome variables at the end of the intervention were caused by the intervention as compared to chance. We will also study the treatment effects on different outcomes between the different arms of the experiment - comparing outcomes across different treatment arms or outcomes in the control to outcomes in treatment arms will help us answer the aforementioned research questions.

Relevant Content Model (SMS)

Mothers receive twice weekly conversation starter messages of 160 characters each per SMS, which carry both clinic appointment reminders as well as maternal and infant health information, relevant to their stage of pregnancy or the age of their baby. Mothers can access the list of frequently asked questions relevant to their week of pregnancy via USSD.

Group Type EXPERIMENTAL

Quality-Based Digital Messaging

Intervention Type BEHAVIORAL

The impact of MomConnect's models will be evaluated using a randomized controlled trial (RCT). Randomization will be at the individual level, where an individual refers to the "unique user", which is defined by the unique phone number used at the time of registration to MomConnect at health facilities. Randomizing control and treatment allocations ensures that the study groups will be comparable in terms of observable and unobservable characteristics in expectation. Therefore, statistical inference can shed light on the likelihood that any differences in outcome variables at the end of the intervention were caused by the intervention as compared to chance. We will also study the treatment effects on different outcomes between the different arms of the experiment - comparing outcomes across different treatment arms or outcomes in the control to outcomes in treatment arms will help us answer the aforementioned research questions.

Relevant Content + Browsable Content Model

This is a combination of the Relevant Content and Browsable Content Models on WhatsApp (RCM+BCM), including appointment reminders, clinical information, a browsable menu and prompts to relevant stage-based topics. Mothers receive weekly conversation starter messages.

Group Type EXPERIMENTAL

Quality-Based Digital Messaging

Intervention Type BEHAVIORAL

The impact of MomConnect's models will be evaluated using a randomized controlled trial (RCT). Randomization will be at the individual level, where an individual refers to the "unique user", which is defined by the unique phone number used at the time of registration to MomConnect at health facilities. Randomizing control and treatment allocations ensures that the study groups will be comparable in terms of observable and unobservable characteristics in expectation. Therefore, statistical inference can shed light on the likelihood that any differences in outcome variables at the end of the intervention were caused by the intervention as compared to chance. We will also study the treatment effects on different outcomes between the different arms of the experiment - comparing outcomes across different treatment arms or outcomes in the control to outcomes in treatment arms will help us answer the aforementioned research questions.

Interventions

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Quality-Based Digital Messaging

The impact of MomConnect's models will be evaluated using a randomized controlled trial (RCT). Randomization will be at the individual level, where an individual refers to the "unique user", which is defined by the unique phone number used at the time of registration to MomConnect at health facilities. Randomizing control and treatment allocations ensures that the study groups will be comparable in terms of observable and unobservable characteristics in expectation. Therefore, statistical inference can shed light on the likelihood that any differences in outcome variables at the end of the intervention were caused by the intervention as compared to chance. We will also study the treatment effects on different outcomes between the different arms of the experiment - comparing outcomes across different treatment arms or outcomes in the control to outcomes in treatment arms will help us answer the aforementioned research questions.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* Pregnant women above the age of 18 signing up for MomConnect when being between 16-30 weeks pregnant

Exclusion Criteria

* All others
Minimum Eligible Age

18 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Reach Digital Health (formerly Praekelt.org)

UNKNOWN

Sponsor Role collaborator

IDinsight

OTHER

Sponsor Role lead

Responsible Party

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Haijing Huang

Associate Director, Economist

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Reach Digital Health (formerly Praekelt.org)

Cape Town, , South Africa

Site Status RECRUITING

Countries

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South Africa

Central Contacts

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Philipp M Kastrau, PhD

Role: CONTACT

+254746649552

Crystal H Huang, PhD

Role: CONTACT

Facility Contacts

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Jane Passmore

Role: primary

+27114829775

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

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008

Identifier Type: -

Identifier Source: org_study_id

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