Evidence map›Paper›PMID 35500792›Full record

ArticleHeart rhythm2022

Factors associated with remote monitoring adherence for cardiovascular implantable electronic devices.

Anoop N Muniyappa, Merritt H Raitt, Gregory L Judson, Hui Shen, Gary Tarasovsky, Mary A Whooley, Sanket S Dhruva

Abstract read
In one paragraph

Article in Heart rhythm, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 2023 HRS/EHRA/APHRS/LAHRS Expert Consensus Statement on Practical Management of the Remote Device Clinic.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    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 3 institutions in 1 country.

Anoop N MuniyappaDepartment of Medicine, University of California, San Francisco, San Francisco, California.
Merritt H RaittKnight Cardiovascular Institute, Oregon Health and Sciences University, Portland, Oregon; Portland Veterans Affairs Health Care System, Portland, Oregon.
Gregory L JudsonDepartment of Medicine, University of California, San Francisco, San Francisco, California.
Hui ShenSan Francisco Veterans Affairs Health Care System, San Francisco, California.
Gary TarasovskySan Francisco Veterans Affairs Health Care System, San Francisco, California.
Mary A WhooleyDepartment of Medicine, University of California, San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California.
Sanket S DhruvaDepartment of Medicine, University of California, San Francisco, San Francisco, California; San Francisco Veterans Affairs Health Care System, San Francisco, California. Electronic address: Sanket.Dhruva@ucsf.edu.
San Francisco VA Health Care System · USUniversity of California, San Francisco · USVA Portland Health Care System · US

Funding

UCSF Career Development Program in Implementation Research in Heart and Lung DiseasesK12HL138046 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN, CATTAMANCHI, ADITHYA · 2017 to 2021
$2.9M
Improving Safety of Cardiovascular Implantable Electronic Devices in VeteransIK2HX003357 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Sanket S Dhruva · 2022 to 2026
–
HSRD VA I50 HX003266HSRD VA IK2 HX003357NHLBI NIH HHS K12 HL138046
6 · The paper itself

Abstract

backgroundProfessional societies strongly recommend remote monitoring (RM) of all cardiac implantable electronic devices, and higher RM adherence is associated with improved patient outcomes. However, adherence with RM is suboptimal.

objectiveThe purpose of this study was to better understand factors associated with RM adherence.

methodsWe linked RM data from the Veterans Affairs National Cardiac Device Surveillance Program to clinical data for patients monitored between October 25, 2018, and October 24, 2020. RM adherence was defined as the percentage of days covered by an RM transmission during the study period. Patients were classified into 3 categories: complete (100% of days covered by an RM transmission), intermediate (above median in patients with <100% adherence), and low (below median in patients with <100% adherence) adherence. We used multivariable logistic regression to examine patient, device, and facility characteristics associated with adherence.

resultsIn 52,574 patients, average RM adherence was 71.9%. Only 30.9% (16,224) of patients had complete RM adherence. Black or African American patients had a lower odds of complete RM adherence than white patients (odds ratio 0.88; 95% confidence interval 0.82-0.94), and Hispanic or Latino patients had a lower odds of complete RM adherence (odds ratio 0.79; 95% confidence interval 0.70-0.89) than non-Hispanic or Latino patients. Dementia, depression, and posttraumatic stress disorder were associated with a lower odds of RM adherence.

conclusionThere are significant disparities in RM adherence by race, ethnicity, and neuropsychiatric comorbidities. These findings can inform strategies to improve health equity and ensure that all patients with cardiac implantable electronic devices receive the evidence-based clinical benefits of RM.

Indexed as

Defibrillators, ImplantableElectronicsHumansMonitoring, PhysiologicRemote Sensing TechnologyAdherenceCardiovascular implantable electronic devicesImplantable cardioverter-defibrillatorsPacemakersRemote monitoring

Identifiers

PMID35500792
PMCPMC12664735
OpenAlexW4225121914

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.