Accepted for/Published in: JMIR Pediatrics and Parenting
Date Submitted: Nov 30, 2021
Date Accepted: Feb 2, 2022
Date Submitted to PubMed: Feb 2, 2022
Lessons Learned Recruiting and Retaining Pregnant and Postpartum Individuals in Digital Trials
ABSTRACT
In an increasingly connected world and in the midst of a global pandemic, digital trials offer numerous advantages over traditional trials that rely on physical study sites. Digital trials have the potential to improve access to research and clinical treatments for the most vulnerable and minoritized, including pregnant and postpartum individuals. However, digital trials are underutilized in maternal and child health research, and there is limited evidence to inform the design and conduct of digital trials. Our research collaborative, consisting of five research teams in the U.S. and Australia, aimed to address this gap. We collaborated to share lessons learned from our experiences recruiting and retaining pregnant and postpartum individuals in digital trials of social and behavioral interventions. We first discuss the promise of digital trials in improving participation in research during the perinatal period as well as the unique challenges they pose. Second, we present lessons learned from 12 completed and ongoing digital trials that have used platforms such as Ovia, Facebook, and Instagram to recruitment. Our trials have evaluated interventions for breastfeeding, prenatal and postpartum depression, insomnia, decision-making, and chronic pain. We focus on challenges and lessons learned in three key areas 1) rapid recruitment of large samples with a diversity of minoritized identities; 2) retention of study participants in longitudinal studies; and 3) preventing fraudulent enrollment. We offer concrete strategies that we have pilot tested to address these challenges. Strategies presented in this commentary can be incorporated into as well as formally evaluated in future studies.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.