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An Automated Text-Messaging Platform for Enhanced Retention and Data Collection in a Longitudinal Birth Cohort: Cohort Management Platform Analysis.
Barry, Caroline M; Sabhlok, Aditi; Saba, Victoria C; Majors, Alesha D; Schechter, Julia C; Levine, Erica L; Streicher, Martin; Bennett, Gary G; Kollins, Scott H; Fuemmeler, Bernard F.
Afiliación
  • Barry CM; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Sabhlok A; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Saba VC; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Majors AD; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Schechter JC; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Levine EL; Global Digital Health Science Center, Global Health Institute, Duke University, Durham, NC, United States.
  • Streicher M; Global Digital Health Science Center, Global Health Institute, Duke University, Durham, NC, United States.
  • Bennett GG; Global Digital Health Science Center, Global Health Institute, Duke University, Durham, NC, United States.
  • Kollins SH; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Duke University, Durham, NC, United States.
  • Fuemmeler BF; Cancer Prevention and Control, Department of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA, United States.
JMIR Public Health Surveill ; 5(2): e11666, 2019 Apr 02.
Article en En | MEDLINE | ID: mdl-30938689
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 engagement of study participants in cohort studies, and facilitate data collection on a range of outcomes.

OBJECTIVE:

This paper 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 message service (SMS) text messaging to facilitate interactive communication with participants; it also semiautomatically performs many recruitment and retention procedures typically completed by research assistants over the course of multiple study follow-up visits.

RESULTS:

Since February 2016, 302 participants have consented to enrollment in the platform and 162 have enrolled with active engagement in the system. Daily reminders are being used to help improve adherence to the study's accelerometer wear protocol. At the time of this report, 213 participants in our follow-up study who were also registered to use the CMP were eligible for the accelerometer protocol. Preliminary data show that texters (138/213, 64.8%), when compared to nontexters (75/213, 35.2%), had significantly longer average accelerometer-wearing hours (165.6 hours, SD 56.5, vs 145.3 hours, SD 58.5, P=.01) when instructed to wear the devices for 1 full week.

CONCLUSIONS:

This platform can serve as a model for enhancing communication and engagement with longitudinal study cohorts, especially those involved in studies assessing environmental exposures.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: JMIR Public Health Surveill Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: JMIR Public Health Surveill Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos