Evidence map›Paper›PMID 30821691›Full record

ArticleJournal of medical Internet research2019

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

David D McManus, Ludovic Trinquart, Emelia J Benjamin, Emily S Manders, Kelsey Fusco, Lindsey S Jung, Nicole L Spartano, Vik Kheterpal, Christopher Nowak, Mayank Sardana and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06835959 (Development of a Mobile Health Intervention to Improve Blood Pressure Management in Pregnancy), which is not on this map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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.

NCT06835959 narecruitingnot on this mapstarted 2025, after this paper: background citation

Development of a Mobile Health Intervention to Improve Blood Pressure Management in Pregnancy (Moms@Home)

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2025 to 2027Enrolled100ConditionsHypertension in Pregnancy, Chronic Hypertension, Gestational HypertensionArmsMoms@Home, Enhanced Standard of Care
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Telemonitoring of Real-World Health Data in Cardiology: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Engagement in Cancer Epidemiology Cohorts.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  7. Observational
  8. Innovative Technologies: Optimizing Nursing Practice.Computers, informatics, nursing : CIN · 2026
    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

11 authors.

David D McManusCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0002-9343-6203
Ludovic TrinquartBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-3028-4900
Emelia J BenjaminBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0003-4076-2336
Emily S MandersBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0001-9508-1541
Kelsey FuscoBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-8805-2520
Lindsey S JungDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-7690-2620
Nicole L SpartanoBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0724-8629
Vik KheterpalCare Evolution, Ann Arbor, MI, United States.ORCID 0000-0002-4752-4229
Christopher NowakCare Evolution, Ann Arbor, MI, United States.ORCID 0000-0003-1796-9558
Mayank SardanaCardiology Division, Department of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-9465-1047
Joanne M MurabitoBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States.ORCID 0000-0002-0192-7516

Funding

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
Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI SRIVASTAVA, SANJAY · 2013 to 2017
$20.1M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
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
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434
6 · The paper itself

Abstract

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

objectiveThe 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).

methodsWe 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.

resultsUp 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.

conclusionsWe 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.

Indexed as

Longitudinal StudiesCell PhoneCohort StudiesElectronicsFemaleHumansMaleMiddle AgedSmartphoneSurveys and QuestionnairesTelemedicineambulatoryblood pressure monitoringcohort studiessmartphonetele-medicine

Identifiers

PMID30821691
PMCPMC6418484

What OpenQuestion holds

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Registered trials

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.