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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
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Texto completo: 1 Base 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
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XML
PubMed Links
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Texto completo: 1 Base 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