Evidence map›Paper›PMID 39637412›Full record

ArticleJMIR cardio2024

Association Between Video-Based Telemedicine Visits and Medication Adherence Among Patients With Heart Failure: Retrospective Cross-Sectional Study.

Yaguang Zheng, Samrachana Adhikari, Xiyue Li, Yunan Zhao, Amrita Mukhopadhyay, Carine E Hamo, Tyrel Stokes, Saul Blecker

Abstract read
In one paragraph

Article in JMIR cardio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

8 authors.

Yaguang ZhengNew York University Rory Meyers College of Nursing, 433 1st Avenue, New York, NY, 10010, United States, 1 212-998-5170.ORCID http://orcid.org/0000-0002-8400-1398
Samrachana AdhikariDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0001-9954-5999
Xiyue LiDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0001-7331-8544
Yunan ZhaoDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0009-0004-0943-9156
Amrita MukhopadhyayDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0002-7768-459X
Carine E HamoLeon H. Charney Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0002-7063-1727
Tyrel StokesDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0001-9305-1859
Saul BleckerDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, United States.ORCID http://orcid.org/0000-0003-4460-1046

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Training Program in Cardiovascular SciencesT32HL098129 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Glenn I Fishman, Ira J Goldberg · 2009 to 2026
$5.9M
Generalizable prediction of medication adherence in heart failureR01HL155149 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADHIKARI, SAMRACHANA, BLECKER, SAUL B. · 2021 to 2025
$3.9M
Impact of Restrictive Drug Coverage Policies on Heart Failure CareK23HL171636 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Amrita Mukhopadhyay · 2024 to 2026
$597k
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS K23 HL171636NHLBI NIH HHS R01 HL155149NHLBI NIH HHS T32 HL098129
6 · The paper itself

Abstract

Background: Despite the exponential growth in telemedicine visits in clinical practice due to the COVID-19 pandemic, it remains unknown if telemedicine visits achieved similar adherence to prescribed medications as in-person office visits for patients with heart failure. Objective: Our study examined the association between telemedicine visits (vs in-person visits) and medication adherence in patients with heart failure. Methods: This was a retrospective cross-sectional study of adult patients with a diagnosis of heart failure or an ejection fraction of ≤40% using data between April 1 and October 1, 2020. This period was used because New York University approved telemedicine visits for both established and new patients by April 1, 2020. The time zero window was between April 1 and October 1, 2020, then each identified patient was monitored for up to 180 days. Medication adherence was measured by the mean proportion of days covered (PDC) within 180 days, and categorized as adherent if the PDC was ≥0.8. Patients were included in the telemedicine exposure group or in-person group if all encounters were video visits or in-person office visits, respectively. Poisson regression and logistic regression models were used for the analyses. Results: A total of 9521 individuals were included in this analysis (telemedicine visits only: n=830 in-person office visits only: n=8691). Overall, the mean age was 76.7 (SD 12.4) years. Most of the patients were White (n=6996, 73.5%), followed by Black (n=1060, 11.1%) and Asian (n=290, 3%). Over half of the patients were male (n=5383, 56.5%) and over half were married or living with partners (n=4914, 51.6%). Most patients' health insurance was covered by Medicare (n=7163, 75.2%), followed by commercial insurance (n=1687, 17.7%) and Medicaid (n=639, 6.7%). Overall, the average PDC was 0.81 (SD 0.286) and 71.3% (6793/9521) of patients had a PDC≥0.8. There was no significant difference in mean PDC between the telemedicine and in-person office groups (mean 0.794, SD 0.294 vs mean 0.812, SD 0.285) with a rate ratio of 0.99 (95% CI 0.96-1.02; P=.09). Similarly, there was no significant difference in adherence rates between the telemedicine and in-person office groups (573/830, 69% vs 6220/8691, 71.6%), with an odds ratio of 0.94 (95% CI 0.81-1.11; P=.12). The conclusion remained the same after adjusting for covariates (eg, age, sex, race, marriage, language, and insurance). Conclusions: We found similar rates of medication adherence among patients with heart failure who were being seen via telemedicine or in-person visits. Our findings are important for clinical practice because we provide real-world evidence that telemedicine can be an approach for outpatient visits for patients with heart failure. As telemedicine is more convenient and avoids transportation issues, it may be an alternative way to maintain the same medication adherence as in-person visits for patients with heart failure.

Indexed as

COVID-19Drug MonitoringHeart FailureTelemedicineAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedOffice VisitsRetrospective Studiesheart failuremedical therapymedication adherenceremote monitoringself-managementsystolic dysfunctiontelehealthtelemedicine

Identifiers

PMID39637412
PMCPMC11637490

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Registered trials

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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.