Evidence map›Paper›PMID 42733482›Full record

ArticleDigital health

Willingness to participate in telehealth visits among US adults: Findings from the 2024 health information national trends survey.

Navreet K Singh, Nancy Buderer, Aisha T Langford

Abstract read
In one paragraph

Article in Digital health. 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

3 authors.

Navreet K SinghDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, USA.ORCID https://orcid.org/0009-0004-2157-3497
Nancy BudererNancy Buderer Consulting, LLC, Oak Harbor, OH, USA.
Aisha T LangfordDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Telehealth visits offer flexibility and convenience, and remain an important care delivery option. Understanding patient willingness to engage in telehealth is critical for equitable expansion of these services. Methods: Secondary analysis of the 2024 Health Information National Trends Survey (HINTS) 7 completed by US adults. Participants were asked, "How willing are you to do a telehealth visit in the future if one is offered to you?" We compared "very willing" vs. all other levels of willingness. Univariable and multivariable logistic regression models assessed the association between telehealth visit willingness and various patient characteristics. After excluding participants with missing data for any study variable, 5,759 participants were included in analyses. Odds ratios and 95% confidence intervals are reported. Results: In this sample, 39% were very willing to do a telehealth visit. Higher odds of being very willing to do a telehealth visit were found in those who were: 35-49 years old (vs. 18-34), very confident in filling out medical forms (vs. not), had anxiety or depression (vs. not), or had a prior telehealth visit. Participants who were 75 years or older (vs. 18-34), who agreed that learning new technology is frustrating (vs. disagreed), or who had diabetes (vs. not) had lower odds of being very willing to do a telehealth visit. Conclusion: Although most participants were not "very willing" to do a telehealth visit, certain subgroups, including those with anxiety or depression, reported greater willingness. Efforts to improve platform usability and provide digital support may help increase participation among those less willing.

Indexed as

digital healtheHealthgeneralpatient preferencetelehealthtelemedicinewillingness

Identifiers

PMID42733482
PMCPMC13571015

What Socratic 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 Socratic graph.