Evidence map›Paper›PMID 31758791›Full record

ArticleJMIR cardio2019

Characteristics Associated With Facebook Use and Interest in Digital Disease Support Among Older Adults With Atrial Fibrillation: Cross-Sectional Analysis of Baseline Data From the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF) Cohort.

Molly E Waring, Mellanie T Hills, Darleen M Lessard, Jane S Saczynski, Brooke A Libby, Marta M Holovatska, Alok Kapoor, Catarina I Kiefe, David D McManus

Abstract read
In one paragraph

Article in JMIR cardio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Social determinants of atrial fibrillation.Nature reviews. Cardiology · 2021
    Review
  6. Article
  7. Article
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

9 authors.

Molly E WaringDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0002-9884-9824
Mellanie T HillsStopAfib.org, American Foundation for Women's Health, Decatur, TX, United States.ORCID https://orcid.org/0000-0001-8298-4418
Darleen M LessardDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9644-2203
Jane S SaczynskiDepartment of Pharmacy and Health System Sciences, Northeastern University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-6411-4774
Brooke A LibbyDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0003-2550-2763
Marta M HolovatskaDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID https://orcid.org/0000-0002-0291-4960
Alok KapoorDivision of Hospital Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-1300-7124
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0001-8719-6963
David D McManusDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-9343-6203

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
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
Community Surveillance of Coronary Heart DiseaseR01HL135219 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GOLDBERG, ROBERT JOEL, YU, HONG · 2017 to 2020
$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
NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL135219NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

backgroundOnline support groups for atrial fibrillation (AF) and apps to detect and manage AF exist, but the scientific literature does not describe which patients are interested in digital disease support.

objectiveThe objective of this study was to describe characteristics associated with Facebook use and interest in digital disease support among older patients with AF who used the internet.

methodsWe used baseline data from the Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF), a prospective cohort of older adults (≥65 years) with AF at high stroke risk. Participants self-reported demographics, clinical characteristics, and Facebook and technology use. Online patients (internet use in the past 4 weeks) were asked whether they would be interested in participating in an online support AF community. Mobile users (owns smartphone and/or tablet) were asked about interest in communicating with their health care team about their AF-related health using a secure app. Logistic regression models identified crude and multivariable predictors of Facebook use and interest in digital disease support.

resultsOnline patients (N=816) were aged 74.2 (SD 6.6) years, 47.8% (390/816) were female, and 91.1% (743/816) were non-Hispanic white. Roughly half (52.5%; 428/816) used Facebook. Facebook use was more common among women (adjusted odds ratio [aOR] 2.21, 95% CI 1.66-2.95) and patients with mild to severe depressive symptoms (aOR 1.50, 95% CI 1.08-2.10) and less common among patients aged ≥85 years (aOR 0.27, 95% CI 0.15-0.48). Forty percent (40.4%; 330/816) reported interest in an online AF patient community. Interest in an online AF patient community was more common among online patients with some college/trade school or Bachelors/graduate school (aOR 1.70, 95% CI 1.10-2.61 and aOR 1.82, 95% CI 1.13-2.92, respectively), obesity (aOR 1.65, 95% CI 1.08-2.52), online health information seeking at most weekly or multiple times per week (aOR 1.84, 95% CI 1.32-2.56 and aOR 2.78, 95% CI 1.86-4.16, respectively), and daily Facebook use (aOR 1.76, 95% CI 1.26-2.46). Among mobile users, 51.8% (324/626) reported interest in communicating with their health care team via a mobile app. Interest in app-mediated communication was less likely among women (aOR 0.48, 95% CI 0.34-0.68) and more common among online patients who had completed trade school/some college versus high school/General Educational Development (aOR 1.95, 95% CI 1.17-3.22), sought online health information at most weekly or multiple times per week (aOR 1.86, 95% CI 1.27-2.74 and aOR 2.24, 95% CI 1.39-3.62, respectively), and had health-related apps (aOR 3.92, 95% CI 2.62-5.86).

conclusionsAmong older adults with AF who use the internet, technology use and demographics are associated with interest in digital disease support. Clinics and health care providers may wish to encourage patients to join an existing online support community for AF and explore opportunities for app-mediated patient-provider communication.

Indexed as

atrial fibrillationinformation seeking behaviorsocial media

Identifiers

PMID31758791
PMCPMC6883367

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.