Evidence map›Paper›PMID 39991644›Full record

ArticleTelemedicine reports2025

Knowledge, Readiness, Willingness-to-Use, and Willingness-to-Pay for Telehealth in Nonlife-Threatening Emergency Department Visits.

Vahé Heboyan, Phillip Coule, Davide Mariotti, Gianluca De Leo

Abstract read
In one paragraph

Article in Telemedicine reports, 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

4 authors.

Vahé HeboyanAugusta University, Augusta, GA, USA.
Phillip CouleAugusta University, Augusta, GA, USA.
Davide MariottiWalden University, Minneapolis, MN, USA.
Gianluca De LeoAugusta University, Augusta, GA, USA.ORCID https://orcid.org/0000-0001-6836-8360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The emergency department (ED) provides a significant portion of health care services in the United States, and its utilization has increased over the past decade. ED overcrowding remains a considerable challenge to many EDs. The objectives of this study were (1) to evaluate the knowledge of telehealth and readiness to use it among patients who visit EDs in a nonurgent triage category and (2) to estimate their willingness-to-use and willingness-to-pay for telehealth consultations. Methods: A structured questionnaire was administered using a tablet to adult patients who visited the ED of a large medical center and who were triaged into a nonurgent category. Respondents were asked about their sociodemographic and ED visit characteristics and health and telehealth utilization history. Then, we presented them with a hypothetical scenario for visiting a board-certified ED doctor through telehealth instead of in-person visits, and, using a double-bound dichotomous choice iterative bidding algorithm, we solicited their willingness-to-pay for such a telehealth visit. Results: A total of 171 patients agreed to participate in the study. More than half of the respondents ( Conclusions: Hospitals should consider investigating telehealth services that can be provided to their communities as an option instead of visiting their EDs. While technology does not seem to be a barrier to telehealth, more educational initiatives to inform the public about telehealth are desirable. A targeted advertisement campaign to recommend telehealth for nonlife-threatening ED visits could be developed once more user characteristics are collected.

Indexed as

emergency medicinepatient perceptiontelehealthwillingness-to-pay

Identifiers

PMID39991644
PMCPMC11839518

What OpenQuestion holds

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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.