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Digital Health Platform for Maternal Health: Design, Recruitment Strategies, and Lessons Learned From the PowerMom
Toluwalase Ajayi1,2, Jacqueline Kueper2, Lauren Ariniello2
1Jacobs Center for Health Innovation, Department of Medicine and Pediatrics, University of California, San Diego, La Jolla, CA, United States.
JMIR Formative Research
|April 7, 2025
Summary
The PowerMom digital platform effectively recruits and engages diverse pregnant individuals for maternal health research, collecting multimodal real-world data. Lessons learned will improve future digital health studies and address health disparities.
Area of Science:
- Digital Health
- Maternal Health Research
- Real-World Data Collection
Background:
- Maternal health research struggles with recruitment, retention, and data collection, especially in underrepresented groups.
- Digital platforms like PowerMom offer scalable, decentralized solutions for real-world data gathering.
- PowerMom utilizes innovative recruitment and multimodal data collection during pregnancy and postpartum.
Purpose of the Study:
- Evaluate the PowerMom platform's design, implementation, and outcomes.
- Assess participant recruitment, engagement, and data collection across diverse populations.
- Identify implementation challenges and derive lessons for future digital maternal health studies.
Main Methods:
- Recruitment via digital ads, pregnancy apps, and a consortium of over 15 organizations.
- Multimodal data collection: self-reported surveys, wearable devices, and electronic health records.
- Anomaly detection for enrollment integrity; analysis of recruitment trends and descriptive statistics.
Main Results:
- Enrolled 5617 participants from 2021-2024, spanning all US states, Puerto Rico, and Guam.
- Achieved significant diversity: 14% Hispanic/Latina, 13.7% Black/African American; 16.4% in disadvantaged neighborhoods.
- Collected extensive data: 17,123 surveys, 378,000+ biometric measurements from wearables, and EHR data.
Conclusions:
- The PowerMom platform demonstrates feasibility for recruiting and engaging diverse maternal health research participants.
- Integration of multimodal data offers potential for comprehensive maternal-fetal health insights.
- Addressing data completeness and attrition is crucial for sustained engagement and scaling digital health platforms.
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