Evidence map›Paper›PMID 33279151›Full record

ArticleNursing outlook

Why patients stop using their home telehealth technologies over time: Predictors of discontinuation in Veterans with heart failure.

Jenice Guzman-Clark, Melissa M Farmer, Bonnie J Wakefield, Benjamin Viernes, Maria Yefimova, Martin L Lee, Theodore J Hahn

Open access · greenAbstract read
In one paragraph

Article in Nursing outlook. 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
0.7field-weighted citation impact, top 24% 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, 10 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Observational
  8. 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

7 authors at 5 institutions in 1 country.

Jenice Guzman-ClarkVA Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, North Hills, CA; Southern Arizona VA Healthcare System, Tucson, AZ. Electronic address: JeniceRia.Guzman@va.gov.
Melissa M FarmerVA Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, North Hills, CA.
Bonnie J WakefieldVA Center for Comprehensive Access & Delivery Research and Evaluation (CADRE), Iowa City VA Health Care System, Iowa City, IA; University of Missouri Sinclair School of Nursing, S235 School of Nursing University of Missouri, Columbia, MO.
Benjamin ViernesVA Salt Lake City Health Care System, Salt Lake City, UT; University of Utah School of Medicine, Salt Lake City, UT.
Maria YefimovaUCLA/VA National Clinician Scholar, Los Angeles, CA.
Martin L LeeVA Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, North Hills, CA; UCLA Fielding School of Public Health, Los Angeles, CA.
Theodore J HahnVA Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, North Hills, CA; UCLA School of Medicine, Los Angeles, CA; VA Geriatric Research, Education & Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, CA.
Center for the Study of Healthcare Provider Behavior · USGeriatric Research Education and Clinical Center · USIowa City VA Health Care System · USSouthern Arizona VA Health Care System · USUniversity of Utah · US

Funding

Adherence to the Use of Home Telehealth Devices by Veterans with Heart FailureIK3HX001608 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI GUZMAN, JENICE RIA SANTIAGO · 2015 to 2015
–
HSRD VA IK3 HX001608
6 · The paper itself

Abstract

backgroundDaily use of home telehealth (HT) technologies decreases over time. Barriers to continued use are unclear. PURPOSE: To examine predictors of drop-out from HT in Veterans with heart failure.

methodsData for Veterans with heart failure enrolled in the Veterans Affairs HT Program were analyzed using a mixed effects Cox regression model to determine risk of dropping-out over a 1-year period.

findingsOlder (hazard ratio [HR] 1.01), sicker (prior hospital readmission [HR 1.39]), higher probability of hospital admission/death [HR 1.23], functional impairments [1.14]) and white Veterans (compared to black; HR 1.41) had higher risk of drop-out in HT Programs. Users of VA's online patient portal (HR 0.90) had lower risk of drop-out. DISCUSSION: Older and sicker patients are at most risk of stopping HT use, yet use of a patient portal shows promise in improving continued use. Interventions targeting patients at high risk for HT discontinuation are needed to promote ongoing engagement.

Indexed as

AgedAged, 80 and overCohort StudiesFemaleHeart FailureHospitalizationHumansMaleMiddle AgedRetrospective StudiesTelemedicineTreatment Adherence and ComplianceUnited StatesUnited States Department of Veterans AffairsDrop-outHeart failureHome telehealthRemote patient monitoringVeterans

Identifiers

PMID33279151
PMCPMC8005439
OpenAlexW3108193735

What OpenQuestion holds

Textmetadata
LicenceTDM
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.