Evidence map›Paper›PMID 38382633›Full record

ArticleApplied clinical informatics2024

Patients with Heart Failure: Internet Use and Mobile Health Perceptions.

Albert Sohn, Anne M Turner, William Speier, Gregg C Fonarow, Michael K Ong, Corey W Arnold

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. 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

6 authors at 3 institutions in 1 country.

Albert SohnDepartment of Medical Education and Clinical Sciences, Washington State University, Spokane, Washington, United States.
Anne M TurnerDepartment of Health Systems and Population Health, University of Washington, Seattle, Washington, United States.
William SpeierDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, United States.
Gregg C FonarowDivision of Cardiology, Department of Medicine, University of California Los Angeles, Los Angeles, California, United States.
Michael K OngDepartment of Medicine, University of California Los Angeles, Los Angeles, California, United States.
Corey W ArnoldDepartment of Radiological Sciences, University of California Los Angeles, Los Angeles, California, United States.
University of California, Los Angeles · USUniversity of Washington · USVA Greater Los Angeles Healthcare System · US

Funding

mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity TrackersR01HL141773 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, COREY WELLS · 2019 to 2022
$3.0M
mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity TrackersR56HL135425 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, COREY WELLS · 2017 to 2017
$599k
NHLBI NIH HHS R01 HL141773NHLBI NIH HHS R01HL141773,R56HL135425NHLBI NIH HHS R56 HL135425
6 · The paper itself

Abstract

backgroundHeart failure is a complex clinical syndrome noted on approximately one in eight death certificates in the United States. Vital to reducing complications of heart failure and preventing hospital readmissions is adherence to heart failure self-care routines. Mobile health offers promising opportunities for enhancing self-care behaviors by facilitating tracking and timely reminders.

objectivesWe sought to investigate three characteristics of heart failure patients with respect to their heart failure self-care behaviors: (1) internet use to search for heart failure information; (2) familiarity with mobile health apps and devices; and (3) perceptions of using activity trackers or smartwatches to aid in their heart failure self-care.

methodsForty-nine heart failure patients were asked about their internet and mobile health usage. The structured interview included questions adapted from the Health Information National Trends Survey.

resultsOver 50% of the patients had utilized the internet to search for heart failure information in the past 12 months, experience using health-related apps, and thoughts that an activity tracker or smartwatch could help them manage heart failure. Qualitative analysis of the interviews revealed six themes: trust in their physicians, alternatives to mobile health apps, lack of need for mobile health devices, financial barriers to activity tracker and smartwatch ownership, benefits of tracking and reminders, and uncertainty of their potential due to lack of knowledge.

conclusionTrust in their physicians was a major factor for heart failure patients who reported not searching for health information on the internet. While those who used mobile health technologies found them useful, patients who did not use them were generally unaware of or unknowledgeable about them. Considering patients' preferences for recommendations from their physicians and tendency to search for heart failure information including treatment and management options, patient-provider discussions about mobile health may improve patient knowledge and impact their usage.

Indexed as

Heart FailureTelemedicineAdultAgedFemaleHumansInternetMaleMiddle AgedMobile ApplicationsPerceptionSelf Care

Identifiers

PMID38382633
PMCPMC11357730
OpenAlexW4392775072

What OpenQuestion holds

Textmetadata
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.