Evidence map›Paper›PMID 31573928›Full record

Observational studyJMIR mHealth and uHealth2019

Comparison of On-Site Versus Remote Mobile Device Support in the Framingham Heart Study Using the Health eHeart Study for Digital Follow-up: Randomized Pilot Study Set Within an Observational Study Design.

Nicole L Spartano, Honghuang Lin, Fangui Sun, Kathryn L Lunetta, Ludovic Trinquart, Maureen Valentino, Emily S Manders, Mark J Pletcher, Gregory M Marcus, David D McManus and 4 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The DCM Project Portal: A direct-to-participant platform of The DCM Research Project.American heart journal plus : cardiology research and practice · 2024
    Article
  4. The DCM Project Portal: A direct-to-participant platform of The DCM Research Project.medRxiv : the preprint server for health sciences · 2023
    Article
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  9. Clustering of Small Territories Based on Axes of Inequality.International journal of environmental research and public health · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Nicole L SpartanoSection of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0002-0724-8629
Honghuang LinSection of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, United States.ORCID 0000-0003-3043-3942
Fangui SunDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0003-3449-147X
Kathryn L LunettaDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-9268-810X
Ludovic TrinquartDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-3028-4900
Maureen ValentinoFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0307-7738
Emily S MandersFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0001-9508-1541
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-6966-1312
Gregory M MarcusDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0001-5197-7696
David D McManusDepartment of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0002-9343-6203
Emelia J BenjaminFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0003-4076-2336
Caroline S FoxFramingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-3992-8557
Jeffrey E Olgin *Division of Hospital Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0003-1684-9327
Joanne M Murabito *Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0192-7516

Funding

THE FRAMINGHAM HEART STUDYN01HC25195 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2007 to 2014
$83.8M
Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
AFGen Consortium: Atrial Fibrillation Genomics to Functional AnalysesR01HL128914 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2015 to 2018
$3.1M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Extracellular RNAs: Biomarkers for Cardiovascular Risk and DiseaseUH2TR000921 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI FREEDMAN, JANE E · 2013 to 2014
$1.0M
Arrhythmia Detection Using a Smart PhoneR15HL121761 · NHLBI · WORCESTER POLYTECHNIC INSTITUTE · PI CHONG, JO WOON · 2014 to 2014
$389k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NCATS NIH HHS UH2 TR000921NCATS NIH HHS UL1 TR001430NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01HC25195NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL128914NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R15 HL121761NHLBI NIH HHS U54 HL120163NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

backgroundNew electronic cohort (e-Cohort) study designs provide resource-effective methods for collecting participant data. It is unclear if implementing an e-Cohort study without direct, in-person participant contact can achieve successful participation rates.

objectiveThe objective of this study was to compare 2 distinct enrollment methods for setting up mobile health (mHealth) devices and to assess the ongoing adherence to device use in an e-Cohort pilot study.

methodsWe coenrolled participants from the Framingham Heart Study (FHS) into the FHS-Health eHeart (HeH) pilot study, a digital cohort with infrastructure for collecting mHealth data. FHS participants who had an email address and smartphone were randomized to our FHS-HeH pilot study into 1 of 2 study arms: remote versus on-site support. We oversampled older adults (age ≥65 years), with a target of enrolling 20% of our sample as older adults. In the remote arm, participants received an email containing a link to enrollment website and, upon enrollment, were sent 4 smartphone-connectable sensor devices. Participants in the on-site arm were invited to visit an in-person FHS facility and were provided in-person support for enrollment and connecting the devices. Device data were tracked for at least 5 months.

resultsCompared with the individuals who declined, individuals who consented to our pilot study (on-site, n=101; remote, n=93) were more likely to be women, highly educated, and younger. In the on-site arm, the connection and initial use of devices was ≥20% higher than the remote arm (mean percent difference was 25% [95% CI 17-35] for activity monitor, 22% [95% CI 12-32] for blood pressure cuff, 20% [95% CI 10-30] for scale, and 43% [95% CI 30-55] for electrocardiogram), with device connection rates in the on-site arm of 99%, 95%, 95%, and 84%. Once connected, continued device use over the 5-month study period was similar between the study arms.

conclusionsOur pilot study demonstrated that the deployment of mobile devices among middle-aged and older adults in the context of an on-site clinic visit was associated with higher initial rates of device use as compared with offering only remote support. Once connected, the device use was similar in both groups.

Indexed as

AdultAftercareFemaleFitness TrackersHumansLongitudinal StudiesMaleMiddle AgedMobile ApplicationsPilot ProjectsSurveys and Questionnairescell phoneelectrocardiographyepidemiologyfitness trackerswearable electronic devices

Identifiers

PMID31573928
PMCPMC6792023

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.