Dataset Information

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study.

ABSTRACT:

Background

New models of scalable population-based data collection that integrate digital and mobile health (mHealth) data are necessary.

Objective

The aim of this study was to describe a cardiovascular digital and mHealth electronic cohort (e-cohort) embedded in a traditional longitudinal cohort study, the Framingham Heart Study (FHS).

Methods

We invited eligible and consenting FHS Generation 3 and Omni participants to download the electronic Framingham Heart Study (eFHS) app onto their mobile phones and co-deployed a digital blood pressure (BP) cuff. Thereafter, participants were also offered a smartwatch (Apple Watch). Participants are invited to complete surveys through the eFHS app, to perform weekly BP measurements, and to wear the smartwatch daily.

Results

Up to July 2017, we enrolled 790 eFHS participants, representing 76% (790/1044) of potentially eligible FHS participants. eFHS participants were, on average, 53±8 years of age and 57% were women. A total of 85% (675/790) of eFHS participants completed all of the baseline survey and 59% (470/790) completed the 3-month survey. A total of 42% (241/573) and 76% (306/405) of eFHS participants adhered to weekly digital BP and heart rate (HR) uploads, respectively, over 12 weeks.

Conclusions

We have designed an e-cohort focused on identifying novel cardiovascular disease risk factors using a new smartphone app, a digital BP cuff, and a smartwatch. Despite minimal training and support, preliminary findings over a 3-month follow-up period show that uptake is high and adherence to periodic app-based surveys, weekly digital BP assessments, and smartwatch HR measures is acceptable.

SUBMITTER: McManus DD

PROVIDER: S-EPMC6418484 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Publications

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study.

McManus David D DD Trinquart Ludovic L Benjamin Emelia J EJ Manders Emily S ES Fusco Kelsey K Jung Lindsey S LS Spartano Nicole L NL Kheterpal Vik V Nowak Christopher C Sardana Mayank M Murabito Joanne M JM

Journal of medical Internet research 20190301 3

<h4>Background</h4>New models of scalable population-based data collection that integrate digital and mobile health (mHealth) data are necessary.<h4>Objective</h4>The aim of this study was to describe a cardiovascular digital and mHealth electronic cohort (e-cohort) embedded in a traditional longitudinal cohort study, the Framingham Heart Study (FHS).<h4>Methods</h4>We invited eligible and consenting FHS Generation 3 and Omni participants to download the electronic Framingham Heart Study (eFHS) ...[more]

PMID: 30821691

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Dataset Information

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study.

Background

Objective

Methods

Results

Conclusions

Publications

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study.

Similar Datasets

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