Evidence map›Paper›PMID 40639939›Full record

ArticleJournal of medical Internet research2025

Factors Affecting Patients' Use of Telehealth Services: Cross-Sectional Survey Study.

Jiajia Qu

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

1 author.

Jiajia QuComputer Information Systems and Business Analytics, James Madison University, 800 South Main Street, Harrisonburg, VA, 22807, United States, 1 7164586270.ORCID 0000-0002-9799-3007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increased integration of telehealth services into health care systems, especially during the COVID-19 pandemic, transformed patient-provider interactions. Despite numerous benefits that promote health equity and resource allocation, patients' acceptance and use of telehealth have declined post pandemic. To enhance health care delivery and patient satisfaction, we study the factors of this decline from the perspective of patient characteristics that influence the adoption and use of telehealth services. Objective: This study examines the direct impact of patient trust, social determinants of health, and health self-efficacy on telehealth usage, the indirect effect of confidence in health information seeking, patient-centered communication, and health literacy barriers on telehealth usage through trust. Methods: This paper uses secondary data from cycle 6 of the Health Information National Trends Survey, a nationally representative dataset collected by the National Cancer Institute. This dataset used a mixed-mode experimental design, with data collected between March and November 2022. The survey included 2 experimental conditions: concurrent (web and paper surveys offered simultaneously) and sequential (web survey offered first, followed by paper). A total of 6252 respondents participated, with a household response rate of 28.1% (6252/22,471). Respondents were randomly assigned to 1 of 3 web-based survey groups to address data quality issues such as speeding and straight lining. We use structural equation modeling to test our research questions, evaluating both direct and indirect pathways influencing telehealth usage. Common method bias is addressed through Harman's single-factor test, and robustness checks ensure the validity and reliability of our results. Results: Out of 5554 participants who had at least 1 doctor visit within the past 12 months, 44.89% used telehealth services in the past year. Trust has an inverted U-shaped relationship with confidence in health information seeking (β=-.031; P=.002); we find trust positively influenced by patient-centered communication (β=.156; P<.001) and negatively affected by health literacy barriers (β=-.063; P<.001). Trust enhances telehealth usage (β=.025; P<.001), with social determinants of health exerting a positive impact (β=.105; P<.001) and health self-efficacy having a negative impact (β=-.019; P=.007). Conclusions: This study finds that trust, social determinants of health, and health self-efficacy directly impact telehealth usage. Additionally, telehealth usage is indirectly influenced by patient characteristics, such as confidence in health information seeking and health literacy barriers, as well as by a patient-centered communication environment. The findings emphasize the need for targeted interventions to improve patient health literacy and engagement, thereby promoting the telehealth services usage.

Indexed as

COVID-19Patient Acceptance of Health CareTelemedicineAdultAgedCross-Sectional StudiesFemaleHealth LiteracyHumansMaleMiddle AgedPatient SatisfactionSelf EfficacySocial Determinants of HealthSurveys and QuestionnairesTrustconfidence in health information seekinghealth literacyhealth self-efficacyHINTS datasetpatient-centered communicationsocial determinants of healthstructural equation modelingtelehealth utilizationtrust

Identifiers

PMID40639939
PMCPMC12270633

What OpenQuestion holds

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LicenceCC BY
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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.