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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 23, 2018
Open Peer Review Period: Jul 24, 2018 - Aug 7, 2018
Date Accepted: Dec 14, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

An Automated Text-Messaging Platform for Enhanced Retention and Data Collection in a Longitudinal Birth Cohort: Cohort Management Platform Analysis

Barry C, Sabhlok A, Saba V, Majors A, Schechter JC, Levine E, Streicher M, Bennett G, Kollins SH, Fuemmeler BF

An Automated Text-Messaging Platform for Enhanced Retention and Data Collection in a Longitudinal Birth Cohort: Cohort Management Platform Analysis

JMIR Public Health Surveill 2019;5(2):e11666

DOI: 10.2196/11666

PMID: 30938689

PMCID: 6465978

Development of an automated text messaging platform to enhance retention and data collection in a longitudinal birth cohort

  • Caroline Barry; 
  • Aditi Sabhlok; 
  • Victoria Saba; 
  • Alesha Majors; 
  • Julia Corwin Schechter; 
  • Erica Levine; 
  • Martin Streicher; 
  • Gary Bennett; 
  • Scott Haden Kollins; 
  • Bernard Frank Fuemmeler

ABSTRACT

Background:

Traditional methods for recruiting and maintaining contact with participants in cohort studies include print-based correspondence, which can be unidirectional, labor-intensive, and slow. Leveraging technology can substantially enhance communication, maintain engagements of study participants in cohort studies, and facilitate data collection on a range of outcomes.

Objective:

This report provides an overview of the development process and design of a cohort management platform (CMP) used in the Newborn Epigenetic STudy (NEST), a large longitudinal birth cohort study.

Methods:

The platform uses short messaging service (SMS) text messaging to facilitate interactive communication with participants and semi-automatically performs many recruitment and retention procedures typically completed by research assistants over the course of multiple study follow-up visits.

Results:

Since February 2016, 305 participants have consented for enrolment in the platform, and 162 have enrolled with active engagement in the system. Daily reminders appear to improve adherence to the study’s accelerometer wear protocol. Preliminary data shows that compared to non-texters (N=75), texters (N=138) have significantly longer average accelerometer wearing hours (165.6 hours vs. 145.3 hours, N=213, P=0.01), though there is no significant difference between the groups regarding wearing days (8.1 days vs. 8.7 days, P=0.08).

Conclusions:

This platform can serve as a model for enhancing communication and engagement with longitudinal study cohorts, especially those assessing environmental exposures.


 Citation

Please cite as:

Barry C, Sabhlok A, Saba V, Majors A, Schechter JC, Levine E, Streicher M, Bennett G, Kollins SH, Fuemmeler BF

An Automated Text-Messaging Platform for Enhanced Retention and Data Collection in a Longitudinal Birth Cohort: Cohort Management Platform Analysis

JMIR Public Health Surveill 2019;5(2):e11666

DOI: 10.2196/11666

PMID: 30938689

PMCID: 6465978

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