Evidence map›Paper›PMID 41823242›Full record

Observational studyJournal of the American Heart Association2026

Factors Associated With Telemedicine Use by Cardiologists for Medicare Beneficiaries in 2022 to 2023: An Observational Study.

Samantha Harris, R J Waken, Fengxian Wang, Khavya C Avula, Rishi K Wadhera, Jose F Figueroa, E John Orav, Uchenna Ofoma, Karen E Joynt Maddox

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samantha HarrisCardiovascular Division, Department of Medicine Washington University School of Medicine in St Louis Saint Louis MO USA.ORCID 0000-0002-1778-3537
R J WakenDivision of Biostatistics Washington University School of Medicine Saint Louis MO USA.ORCID 0000-0001-6678-7764
Fengxian WangCardiovascular Division, Department of Medicine Washington University School of Medicine in St Louis Saint Louis MO USA.ORCID 0000-0002-7677-5406
Khavya C AvulaCardiovascular Division, Department of Medicine Washington University School of Medicine in St Louis Saint Louis MO USA.
Rishi K WadheraCardiovascular Division, Department of Medicine Beth Israel Deaconess Medical Center Boston MA USA.ORCID 0000-0003-1089-3896
Jose F FigueroaDepartment of Health Policy and Management Harvard T. H. Chan School of Public Health Boston MA USA.
E John OravDivision of General Internal Medicine, Department of Medicine Brigham and Women's Hospital Boston MA USA.ORCID 0000-0002-8886-7252
Uchenna OfomaCenter for Advancing Health Services, Policy, & Economics Research Washington University School of Medicine Saint Louis MO USA.ORCID 0000-0002-4723-4109
Karen E Joynt MaddoxCardiovascular Division, Department of Medicine Washington University School of Medicine in St Louis Saint Louis MO USA.ORCID 0000-0003-3779-8653

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Cardiovascular Health of Low-Income Working-Age Adults in the US: Health Care Access, Policy, and the PandemicR01HL164561 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Rishi Kumar Wadhera · 2022 to 2026
$3.7M
The Impact of Bundled Payments for Cardiopulmonary Disease on High-Risk PopulationsR01HL143421 · NHLBI · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2019 to 2022
$3.1M
The Impact of the ACO REACH Program on Health Outcomes for Patients with Alzheimer's Disease and Related DementiasR01AG089215 · NIA · WASHINGTON UNIVERSITY · PI Karen Ellen Joynt Maddox · 2024 to 2026
$2.1M
Leveraging SNAP Policies to Improve the Cardiovascular Health of Low-Income Adults in the United StatesR01NR021686 · NINR · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Rishi Kumar Wadhera · 2024 to 2026
$2.0M
Rural-Urban Disparities In Spillover Effects of COVID-19U01NR020555 · NINR · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2022 to 2024
$1.5M
NCATS NIH HHS UL1 TR002345NHLBI NIH HHS R01 HL143421NHLBI NIH HHS R01 HL164561NIA NIH HHS R01 AG089215NINR NIH HHS R01 NR021686NINR NIH HHS U01 NR020555
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, the Centers for Medicare and Medicaid Services created a waiver to reimburse telemedicine services. It is important to understand factors that facilitate incorporation of telemedicine into ongoing cardiovascular practice.

methodsThis was a retrospective cohort study of telemedicine and office visits delivered by cardiologists between January 1, 2022, and December 31, 2023, for Medicare beneficiaries. We calculated the adjusted incidence rate ratio (aIRR) of telemedicine visits, representing the proportion of a physician's visits delivered by telemedicine, to identify factors associated with telemedicine use.

resultsThere were 23 334 physicians in our cohort; they were predominantly men (84.8%) and affiliated with a hospital (93.5%), and the majority were general cardiologists (66.1%). During 2022 and 2023, 3.4% of visits were delivered by telemedicine. In a regression model adjusted for beneficiary and provider characteristics, several physician-level factors were associated with increased telemedicine: female sex (aIRR, 1.48 [95% CI, 1.41-1.57]), electrophysiology specialty (aIRR, 1.57 [95% CI, 1.47-1.67] compared with general cardiology), and caring for a high proportion of beneficiaries living in areas of social vulnerability (quartile 3 aIRR, 1.22 [95% CI, 1.12-1.32]; quartile 4 aIRR, 1.27 [95% CI, 1.16-1.39]). Caring for more beneficiaries residing in a rural area (aIRR, 0.71 [95% CI, 0.66-0.76]) or the South (aIRR, 0.61 [95% CI, 0.55-0.66]) and for beneficiaries aged >85 years (aIRR, 0.77 [95% CI, 0.73-0.81] were associated with lower use of telemedicine).

conclusionsTelemedicine is used relatively sparsely among cardiologists. Physician factors, including sex; specialty; and the vulnerability, rurality, and age of beneficiary panels, impact the degree to which telemedicine is a major part of clinical practice.

Indexed as

CardiologistsCOVID-19MedicareTelemedicineAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesSARS-CoV-2United StatescardiologyMedicaretelemedicine

Identifiers

PMID41823242
PMCPMC13055645

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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.