Testing Content Delivery Models for MomConnect (MQR)
Testing the Effectiveness of Quality-Based WhatsApp Messaging on Vaccine Hesitancy and Childhood Immunization in a National Maternal Messaging Program
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Philipp M Kastrau, PhD
- Phone Number: +254746649552
- Email: philipp.kastrau@idinsight.org
Study Contact Backup
- Name: Crystal H Huang, PhD
- Email: crystal.huang@idinsight.org
Study Locations
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Cape Town, South Africa
- Recruiting
- Reach Digital Health (formerly Praekelt.org)
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Contact:
- Jane Passmore
- Phone Number: +27114829775
- Email: jane@reachdigitalhealth.org
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Pregnant women above the age of 18 signing up for MomConnect when being between 16-30 weeks pregnant
Exclusion Criteria:
- All others
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: 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.
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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.
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Experimental: 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.
|
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.
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Experimental: 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.
|
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.
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Experimental: 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.
|
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.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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ANC visits
Time Frame: Based on phone survey conducted 7 weeks after expected delivery
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Binary indicator measuring whether women attended at least 8 ANC visits during pregnancy as recommended by the WHO
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Based on phone survey conducted 7 weeks after expected delivery
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Immunisation coverage
Time Frame: Based on phone survey conducted 7 weeks after expected delivery
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Binary indicator measuring whether the newborn child received all 6 vaccinations recommended at birth and 6 weeks after birth
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Based on phone survey conducted 7 weeks after expected delivery
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Knowledge/Attitude Index
Time Frame: Based on phone survey conducted 7 weeks after expected delivery
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Includes knowledge of/attitudes towards diet, breastfeeding, and anemia
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Based on phone survey conducted 7 weeks after expected delivery
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Behaviour Index
Time Frame: Based on phone survey conducted 7 weeks after expected delivery
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Includes behaviour related to ante-natal care visits, diet, pregnancy preparedness, breastfeeding, anemia, and child vaccinations
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Based on phone survey conducted 7 weeks after expected delivery
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User Experience
Time Frame: Backend data is collected throughout users' usage of the platform; survey data based on phone survey conducted 7 weeks after expected delivery
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Includes WhatsApp back-end data and survey data on how users interacted with MomConnect platform
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Backend data is collected throughout users' usage of the platform; survey data based on phone survey conducted 7 weeks after expected delivery
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 008 (Other Identifier: Nahrain Medical Research Collective (NMRC))
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.