Evidence map›Paper›PMID 40513030›Full record

ArticleJournal of medical Internet research2025

Telehealth Modality Preferences for Video and Voice-Only Visits Among US Clinicians and the Public: Cross-Sectional, Web-Based Survey Study.

Rachel C Forcino, Julie K Johnson, Glyn Elwyn

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Rachel C ForcinoDepartment of Population Health, University of Kansas School of Medicine, 3901 Rainbow Blvd, Mail Stop 1008, Kansas City, KS, 66160, United States, 1 913-588-4742.ORCID http://orcid.org/0000-0001-9938-4830
Julie K JohnsonDepartment of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, United States.ORCID http://orcid.org/0000-0002-7757-5529
Glyn ElwynThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, United States.ORCID http://orcid.org/0000-0002-0917-6286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The onset of the COVID-19 pandemic led US health systems to rapidly implement telehealth services to connect patients and clinicians. This rapid expansion of telehealth allowed us to explore how a telehealth experience may be best delivered across populations and contexts. Objective: We aimed to identify telehealth modality preferences (voice vs video) among clinicians and the populations they serve and explore the barriers to telehealth use from clinician and public perspectives. Methods: We conducted 2 independent, cross-sectional, web-based surveys. US physicians specializing in internal medicine, psychiatry, urology, orthopedic surgery, or obstetrics and gynecology completed a 23-item survey through Sermo's research panel. Quotas ensured equal representation across the selected clinical specialties. Adult members of the US general public completed a 26-item survey through Qualtrics' research panel. Quotas ensured the general public sample approximated the US population on educational attainment, gender, and rural residence. Results: We recruited 253 clinician participants and 418 general public participants in September 2020, with survey completion rates of 22% (253/1139) and 93% (418/451), respectively. For the initial encounter, 85% (216/253; 95% CI 80%-89%) of clinicians and 51% (215/418; 95% CI 47%-56%) of public participants preferred video over voice only. In multiple logistic regression analyses, members of the public with broadband internet at home were more likely than those without broadband to prefer video over voice only for a first visit with a new clinician (57% vs 40%; odds ratio 2.09, 95% CI 1.25-3.49). In an established clinical relationship, 63% (160/253; 95% CI 57%-69%) of clinicians and 33% (137/418; 95% CI 28%-38%) of the general public preferred video over voice only when discussing a new clinical problem. For a follow-up visit, only 26% (65/253; 95% CI 20%-32%) of clinicians and 28% (117/418; 95% CI 24%-33%) of the general public preferred video over voice only. Clinicians and the general public agree that technology not working properly is their main source of telehealth frustration (86/249, 35% of clinicians; 62/220, 28% of public with telehealth experience). Other major frustrations include limitations on what content can be included in the visit (main frustration for 83/249, 33% of clinicians; 54/220, 25% of the public) and downloading new technology (52/220, 24% of the public). Conclusions: Although telehealth connections with video are increasingly common, important factors are associated with a preference for voice-only telehealth connections. Clinicians prefer video over voice-only connections more than patients do for new clinical relationships and new clinical problems. For follow-up care, both clinicians and the public prefer voice-only telephone visits over video. Barriers to video-enabled telehealth experiences include technology failures, varied technology platforms across providers, and a need for more reliable high-speed internet connection. Voice-only telephone-mediated services can potentially improve health care access and experiences in light of these barriers to video-based care.

Indexed as

TelemedicineAdultCOVID-19Cross-Sectional StudiesFemaleHumansInternetMaleMiddle AgedSARS-CoV-2Surveys and QuestionnairesUnited Statesacceptabilitypatient-centered carepreferencessurvey researchtelehealth

Identifiers

PMID40513030
PMCPMC12180677

What OpenQuestion holds

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LicenceCC BY
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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.