Evidence map›Paper›PMID 40795329›Full record

ArticleJournal of medical Internet research2025

Frequency and Predictors of Virtual Visits in Patients With Heart Failure Within a Large Health System: Retrospective Cohort Study.

Anna M Maw, Garth C Wright, Meagan R Bean, Larry A Allen, Daniel D Matlock, Lilia Cervantes, Russell E Glasgow, Amy G Huebschmann, Kathryn L Colborn, Thomas K Houston and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2025. 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

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

11 authors.

Anna M MawDivision of Hospital Medicine, University of Colorado Anschutz Medical Campus, 12605 E 16th Ave, Aurora, CO, 80045, United States, 1 917-246-0702.ORCID http://orcid.org/0000-0002-2829-7331
Garth C WrightSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0002-9617-2792
Meagan R BeanAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0009-0006-9255-4124
Larry A AllenAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0003-2540-3095
Daniel D MatlockDivision of Hospital Medicine, University of Colorado Anschutz Medical Campus, 12605 E 16th Ave, Aurora, CO, 80045, United States, 1 917-246-0702.ORCID http://orcid.org/0000-0001-9597-9642
Lilia CervantesAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0002-9912-5684
Russell E GlasgowAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0003-4218-3231
Amy G HuebschmannAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0002-9329-3142
Kathryn L ColbornAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0001-8399-6330
Thomas K HoustonSchool of Medicine, Wake Forest University, Winston-Salem, United States.ORCID http://orcid.org/0000-0002-2909-4018
Katie E TrinkleyAdult and Child Center for Outcomes Research and Delivery Science Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.ORCID http://orcid.org/0000-0003-2041-7404

Funding

TRANSLATIONAL RESEARCH COREP30DK092923 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Angela Gwen Brega · 2011 to 2026
$10.2M
NAVIGATE-Kidney: Reducing Type 1 Error Rate by Modifying Methods to Individually Randomized Group Treatment TrialU01DK137272 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Lilia Cervantes, Larissa Myaskovsky · 2023 to 2026
$4.1M
Reducing Asthma Attacks in Disadvantaged School Children with AsthmaUH3HL151297 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Lisa Cicutto, Amy Grotelueschen Huebschmann · 2023 to 2026
$4.1M
Elucidating the Mechanisms of Racial and Ethnic Disparities in Dialysis QualityR01DK137223 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Eugene Lin · 2023 to 2026
$2.0M
Partnering with primary care to address Whole Person Health goals for cancer prevention - representative health benefits to patients and value and sustainment for clinicsR01CA282292 · NCI · UNIVERSITY OF COLORADO DENVER · PI RUSSELL E GLASGOW, Amy Grotelueschen Huebschmann · 2024 to 2026
$2.0M
Personalizing Clinical Decision Support for Heart Failure Treatment to Clinicians' NeedsK23HL161352 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Katy E Trinkley · 2022 to 2026
$869k
NCI NIH HHS R01 CA282292NHLBI NIH HHS K23 HL161352NHLBI NIH HHS UH3 HL151297NIDDK NIH HHS P30 DK092923NIDDK NIH HHS R01 DK137223NIDDK NIH HHS U01 DK137272
6 · The paper itself

Abstract

Background: Virtual care interventions have the potential to improve access to care and serial medication intensification for patients with chronic heart failure with reduced ejection fraction (HFrEF). However, concerns remain that these interventions might unintentionally create or widen existing disparities in care delivery and patient outcomes. Objective: This study aimed to characterize the health care use patterns of patients who have HFrEF, including specialty type and frequency of in-person and virtual visits. Methods: We conducted a retrospective cohort study of patients with HFrEF within a large health system. Inclusion criteria were patients alive with an ejection fraction ≤40% as of September 1, 2021, and at least one virtual or in-person outpatient visit to a primary care or cardiology clinician in the prior year. Descriptive statistics were used to evaluate baseline patient demographics and clinical use data and outcomes. Univariate analyses were performed both with virtual visits as a variable (received or did not receive) using the chi-square test for association and as a discrete outcome using the Wilcoxon rank-sum test to capture potentially important predictor variables that could influence use or frequency of using virtual visits. The primary outcome of interest was the odds of at least one virtual visit during the 1-year evaluation period from 2021 to 2022. Descriptive statistics were used to evaluate baseline patient demographics and care use. A logistic regression model was used to model at least one primary care or cardiology virtual visit. Results: A total of 8481 patients were included in the analysis. The mean age was 65.9 years (SD 15.1), 5672 (66.9%) patients were male and 6608 (77.9%) patients were non-Hispanic White. The majority of patients had no cardiology (7938/8481, 93.6%) or primary care (7955/8481, 93.8%) virtual visits during the evaluation period. Multivariable logistic regression showed significantly higher odds of having at least one virtual visit for patients with certain digital access-for example, email on file (odds ratio [OR] 9.3, P≤.001), cell phone on file (OR 2.9, P≤.001), and active electronic health record patient portal (OR 2.8, P≤.001)-than those without. Age, race, ethnicity, rurality, and Social Vulnerability Index were not associated with virtual visits. Conclusions: Only a minority of patients with HFrEF were seen via virtual visits. Patients who regularly used digital technology were more likely to have virtual visits. Patients were more likely to be seen in a cardiology clinic than by a primary care provider. Although there was no evidence of an association between social determinants of health factors like race, ethnicity, or rurality with digital divide indicators, these findings should be interpreted with caution given the limitations of these data. Future studies should aim to replicate the findings of this study and explore ways to enhance the effective and equitable use of virtual visits.

Indexed as

Ambulatory CareHeart FailurePatient Acceptance of Health CareTelemedicineAgedCardiologyColoradoElectronic Health RecordsFemaleHealthcare DisparitiesHumansMaleMiddle AgedNebraskaPrimary Health CareRetrospective Studiesdigital technologyhealth equityheart failuretelehealthvirtual care

Identifiers

PMID40795329
PMCPMC12501900

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.