Evidence map›Paper›PMID 35265906›Full record

ArticleCardiovascular digital health journal2021

Design, deployment, and usability of a mobile system for cardiovascular health monitoring within the electronic Framingham Heart Study.

Eric Y Ding, Chathurangi H Pathiravasan, Eric Schramm, Belinda Borrelli, Chunyu Liu, Ludovic Trinquart, Jelena Kornej, Emelia J Benjamin, Joanne M Murabito, David D McManus

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular digital health journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Self-Reported Mobile Health-Based Risk Factor and CHAFrontiers in cardiovascular medicine · 2021
    Article
  8. Review
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

10 authors at 5 institutions in 1 country.

Eric Y DingDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Chathurangi H PathiravasanDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Eric SchrammCareEvolution, Inc., Ann Arbor, Michigan.
Belinda BorrelliDepartment of Health Policy & Health Services Research, Boston University School of Dental Medicine, Boston, Massachusetts.
Chunyu LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Ludovic TrinquartDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Jelena KornejDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts.
Emelia J BenjaminBoston University and National Heart, Lung, and Blood Institute, Framingham Heart Study, Boston, Massachusetts.
Joanne M MurabitoDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts.
David D McManusDepartment of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
Boston University · USUniversity of Massachusetts Chan Medical School · USCareEvolution (United States) · USFramingham Heart Study · USNational Heart Lung and Blood Institute · US

Funding

FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
NHLBI NIH HHS R01 HL141434
6 · The paper itself

Abstract

Background: The electronic Framingham Heart Study (eFHS) is an ongoing nested study, which includes FHS study participants, examining associations between health data from mobile devices with cardiovascular risk factors and disease. Objective: To describe application (app) design, report user characteristics, and describe usability and survey response rates. Methods: Eligible FHS participants were consented and offered a smartwatch (Apple Watch), a digital blood pressure (BP) cuff, and the eFHS smartphone app for administering surveys remotely. We assessed usability of the new app using 2 domains (functionality, aesthetics) of the Mobile App Rating Scale (MARS) and assessed survey completion rates at baseline and 3 months. Results: A total of 196 participants were recruited using the enhanced eFHS app. Of these, 97 (49.5%) completed the MARS instrument. Average age of participants was 53 ± 9 years, 51.5% were women, and 93.8% were white. Eighty-six percent of participants completed at least 1 measure on the baseline survey, and 50% completed the 3-month assessment. Overall subjective score of the app was 4.2 ± 0.7 on a scale from 1 to 5 stars. Of those who shared their health data with others, 46% shared their BP and 7.7% shared their physical activity with a health care provider. Conclusion: Participants rated the new, enhanced eFHS app positively overall. Mobile app survey completion rates were high, consistent with positive in-app ratings from participants. These mobile data collection modalities offer clinicians new opportunities to engage in conversations about health behaviors.

Indexed as

App adherenceApp usabilityDigital medicineRemote survey administrationWearable device

Identifiers

PMID35265906
PMCPMC8890046
OpenAlexW3153694648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.