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Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial.
Trinquart, Ludovic; Liu, Chunyu; McManus, David D; Nowak, Christopher; Lin, Honghuang; Spartano, Nicole L; Borrelli, Belinda; Benjamin, Emelia J; Murabito, Joanne M.
Afiliação
  • Trinquart L; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
  • Liu C; Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States.
  • McManus DD; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, United States.
  • Nowak C; Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States.
  • Lin H; Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, United States.
  • Spartano NL; Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.
  • Borrelli B; Cardiology Division, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.
  • Benjamin EJ; Department of Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.
  • Murabito JM; CareEvolution, Ann Arbor, MI, United States.
J Med Internet Res ; 25: e40784, 2023 01 20.
Article em En | MEDLINE | ID: mdl-36662544
ABSTRACT

BACKGROUND:

Smartphone apps and mobile health devices offer innovative ways to collect longitudinal cardiovascular data. Randomized evidence regarding effective strategies to maintain longitudinal engagement is limited.

OBJECTIVE:

This study aimed to evaluate smartphone messaging interventions on remote transmission of blood pressure (BP) and heart rate (HR) data.

METHODS:

We conducted a 2 × 2 × 2 factorial blinded randomized trial with randomization implemented centrally to ensure allocation concealment. We invited participants from the Electronic Framingham Heart Study (eFHS), an e-cohort embedded in the FHS, and asked participants to measure their BP (Withings digital cuff) weekly and wear their smartwatch daily. We assessed 3 weekly notification strategies to promote adherence personalized versus standard; weekend versus weekday; and morning versus evening. Personalized notifications included the participant's name and were tailored to whether or not data from the prior week were transmitted to the research team. Intervention notification messages were delivered weekly automatically via the eFHS app. We assessed if participants transmitted at least one BP or HR measurement within 7 days of each notification after randomization. Outcomes were adherence to BP and HR transmission at 3 months (primary) and 6 months (secondary).

RESULTS:

Of the 791 FHS participants, 655 (82.8%) were eligible and randomized (mean age 53, SD 9 years; 392/655, 59.8% women; 596/655, 91% White). For the personalized versus standard notifications, 38.9% (126/324) versus 28.8% (94/327) participants sent BP data at 3 months (difference=10.1%, 95% CI 2.9%-17.4%; P=.006), but no significant differences were observed for HR data transmission (212/324, 65.4% vs 209/327, 63.9%; P=.69). Personalized notifications were associated with increased BP and HR data transmission versus standard at 6 months (BP 107/291, 36.8% vs 66/295, 22.4%; difference=14.4%, 95% CI 7.1- 21.7%; P<.001; HR 186/281, 66.2% vs 158/281, 56.2%; difference=10%, 95% CI 2%-18%; P=.02). For BP and HR primary or secondary outcomes, there was no evidence of differences in data transmission for notifications sent on weekend versus weekday or morning versus evening.

CONCLUSIONS:

Personalized notifications increased longitudinal adherence to BP and HR transmission from mobile and digital devices among eFHS participants. Our results suggest that personalized messaging is a powerful tool to promote adherence to mobile health systems in cardiovascular research. TRIAL REGISTRATION ClinicalTrials.gov NCT03516019; https//clinicaltrials.gov/ct2/show/NCT03516019.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Smartphone Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aplicativos Móveis / Smartphone Idioma: En Ano de publicação: 2023 Tipo de documento: Article