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RecruitingNCT05505760MQRUpdated Oct 27, 2023

Testing Content Delivery Models for MomConnect

An interventional study of Quality-Based Digital Messaging in Immunization Coverage, Breastfeeding and Hematological Diseases, sponsored by IDinsight. Recruiting at 1 site in South Africa. Open to female participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-10-27.

Sponsored by IDinsight · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Primary completion was expected by Feb 2024, 2 years 7 months ago, but the record still lists the study as recruiting.
  • Started May 2023; still recruiting 3 years 4 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
8,867
Allocation
Randomized
Ages
18 Years and older
Sex
Female
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Study summary

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.

02

Conditions studied

  • Immunization Coverage
  • Breastfeeding
  • Hematological Diseases

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03

In context

Hematologic Diseases

460 studies on the registry are indexed under Hematologic Diseases; 105 are open to participants now.

This study's planned enrollment of 8,867 is above the median of 50 across 274 interventional studies indexed under Hematologic Diseases.

Browse Hematologic Diseases studies →

Lead sponsor

IDinsight is the lead sponsor of 7 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
No

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

  • All others
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Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
8,867 participants (estimated)

Study arms

  • 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.

    Behavioral: Quality-Based Digital Messaging

  • 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.

    Behavioral: Quality-Based Digital Messaging

  • 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.

    Behavioral: Quality-Based Digital Messaging

  • 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.

    Behavioral: Quality-Based Digital Messaging

Interventions

  • BehavioralQuality-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.

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What researchers measure

Primary outcomes

  1. ANC visits

    Binary indicator measuring whether women attended at least 8 ANC visits during pregnancy as recommended by the WHO

    Time frame: Based on phone survey conducted 7 weeks after expected delivery

  2. Immunisation coverage

    Binary indicator measuring whether the newborn child received all 6 vaccinations recommended at birth and 6 weeks after birth

    Time frame: Based on phone survey conducted 7 weeks after expected delivery

Secondary outcomes

  1. Knowledge/Attitude Index

    Includes knowledge of/attitudes towards diet, breastfeeding, and anemia

    Time frame: Based on phone survey conducted 7 weeks after expected delivery

  2. Behaviour Index

    Includes behaviour related to ante-natal care visits, diet, pregnancy preparedness, breastfeeding, anemia, and child vaccinations

    Time frame: Based on phone survey conducted 7 weeks after expected delivery

  3. User Experience

    Includes WhatsApp back-end data and survey data on how users interacted with MomConnect platform

    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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Study locations

1 of 1 sites recruiting
  • Reach Digital Health (formerly Praekelt.org)
    Cape Town, South Africa
    Recruiting
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References and documents

Study documents

  • Protocol and statistical analysis plan · Sep 20, 2023

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Undecided

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 27, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05505760
Lead sponsor
IDinsight
Collaborators
Reach Digital Health (formerly Praekelt.org)
Responsible party
Haijing Huang (Associate Director, Economist, IDinsight) — Principal investigator
First posted
Aug 18, 2022
Start date
May 30, 2023
Primary completion
Feb 29, 2024 (estimated)
Completion
Feb 29, 2024 (estimated)
Last update
Oct 27, 2023

Study contacts

Philipp M Kastrau, PhD
Contact
philipp.kastrau@idinsight.org
+254746649552
Crystal H Huang, PhD
Contact
crystal.huang@idinsight.org

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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