Evidence map›Paper›PMID 41697270›Full record

ArticleCirculation. Population health and outcomes2026

Changes in Clinician Telemedicine Use and Care Patterns for Patients With Heart Failure in the United States.

Mugdha Joshi, Harrison Koos, Alexander T Sandhu, Vijaya Parameswaran, Rebecca L Tisdale, Paul Heidenreich, David Scheinker, Fatima Rodriguez, Neil M Kalwani

Abstract read
In one paragraph

Article in Circulation. Population health and outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Mugdha Joshi *Duke University School of Medicine, Durham, NC (M.J.).ORCID 0000-0003-4625-9176
Harrison Koos *Stanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0003-3051-5948
Alexander T SandhuStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0003-3208-1143
Vijaya ParameswaranStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0002-0984-9938
Rebecca L TisdaleStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0003-2749-6889
Paul HeidenreichStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0001-7730-8490
David ScheinkerStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0001-5885-8024
Fatima RodriguezStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0002-5226-0723
Neil M KalwaniStanford University School of Medicine, Palo Alto, CA (H.K., A. T. S., V.P., R.L.T., P.H., D.S., F.R., N. M. K.).ORCID 0000-0003-0075-6206

Funding

Intramural VA VA999999
6 · The paper itself

Abstract

backgroundThe impact of telemedicine use on heart failure (HF) care is unknown. We assessed the association between telemedicine use and rates of diagnostic testing and prescribing for patients with HF.

methodsWe extracted electronic health record data for patients with HF at an academic cardiovascular center in Northern California. We assigned patients to the cardiologist providing >50% of their visits from March 2019 to May 2023. This interval was divided into 8 nonoverlapping 6-month periods, excluding March through May of 2020. All patients seen and orders placed in each period were included. Orders of interest included diagnostic tests (Holter monitors, electrocardiograms, echocardiograms, natriuretic peptide tests, chemistry panels) and new prescriptions (beta blockers, aldosterone antagonists, renin angiotensin inhibitors, hydralazine, nitrates, total guideline-directed medical therapy, diuretics). We assessed the association between clinician-period ordering rates and telemedicine use (proportion of visits via video/phone) using negative binomial regression with adjustment for the period, number of patients, and clinician random intercepts. We report incident rate ratios of per-patient ordering associated with a 50-percentage-point increase in telemedicine use. Subgroup analyses were conducted for patients with reduced/preserved ejection fraction.

resultsThere were 7741 patients seen by 44 clinicians (1941 patients with HF with reduced ejection fraction seen by 28 clinicians). Mean age was 65 years (SD, 16.8) with 41% female. A 50-percentage-point increase in telemedicine use was associated with significantly reduced ordering of electrocardiograms (incident rate ratio, 0.30, [95% CI 0.25-0.35]), echocardiograms (0.70 [0.59-0.82]), natriuretic peptide tests (0.66 [0.49-0.88]), and chemistry panels (0.66 [0.56-0.76]). For the HF with reduced ejection fraction subgroup, this increase in telemedicine use was associated with reduced ordering of aldosterone antagonists (0.72 [0.52-0.99]) and total guideline-directed medical therapy (0.80 [0.69-0.94]).

conclusionsGreater clinician telemedicine use was associated with decreased diagnostic testing for patients with HF and reduced guideline-directed medical therapy initiation for patients with HF with reduced ejection fraction. Novel interventions are needed to ensure guideline-concordant care regardless of care modality.

Indexed as

CardiologistsHeart FailurePractice Patterns, Physicians'TelemedicineAgedCaliforniaDigital HealthElectronic Health RecordsFemaleHumansMaleMiddle AgedUnited Statesheart failuremineralocorticoid receptor antagonistnatriuretic peptidepractice patternsquality improvementtelemedicine

Identifiers

PMID41697270
PMCPMC13253097

What OpenQuestion holds

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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.