Evidence map›Paper›PMID 40279162›Full record

ArticleJournal of medical Internet research2025

Investigating Continuance Intention for Telehealth Visits in Children's Hospitals: Survey-Based Study.

Sara Vannelli, Filippo Visintin, Simone Gitto

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
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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

3 authors.

Sara VannelliDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0002-4383-5572
Filippo VisintinDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0003-3262-6844
Simone GittoDepartment of Information Engineering and Mathematics, University of Siena, Siena, Italy.ORCID 0000-0002-0646-7854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelehealth visits are remote health care consultations conducted using digital technologies, such as video calls, phone calls, or web-based platforms. This type of service offers numerous benefits for both health care users and health care providers. Users save time and money by avoiding traveling to health care facilities. At the same time, health care providers can expand access to care for users in remote areas and enhance the continuity of care. These advantages are even more evident in pediatric settings, where attending in-person services must align with the commitments of the patient (eg, school activities) and the caregiver. Although the potential benefits of telehealth visits for users and health care providers were already known before the COVID-19 pandemic, its widespread adoption only occurred during it. Having experienced its benefits, hospitals are now, in the postpandemic phase, determined to maintain and strengthen their remote service offerings. It has, therefore, become crucial for them to understand the factors influencing users' intention to continue using telehealth visits (or "continuance intention"), even now after the access restrictions to health care facilities imposed during the COVID-19 pandemic have been lifted. However, the literature lacks comprehensive, valid, and reliable models explaining users' continuance intention toward telehealth visit services.

objectiveThis study aims to investigate the variables impacting users' continuance intention toward telehealth visits and identify suggestions for improvement.

methodsTwo models of variables impacting users' continuance intention toward telehealth visits were developed. The first model applied to all users undergoing telehealth visits, while the second one applied only to patients who received a telehealth visit using videoconferencing tools. The models were created based on the literature and a qualitative study comprising interviews with physicians with extensive experience in telehealth visits. The models were then tested using partial least squares structural equation modeling on 477 responses obtained by administering a survey to guardians of patients who had received at least 1 telehealth visit in a major European children's hospital.

resultsBoth models showed that the variable information quality positively influenced the variables continuance intention and perceived usefulness and that perceived usefulness positively influenced continuance intention. The first model was robust to the medical specialty and the channel used to deliver the visit. The second model also showed that systems quality positively influenced information quality.

conclusionsThis study has identified and tested 2 comprehensive, valid, and reliable models on the variables influencing users' continuance intention toward telehealth visits. Moreover, the study's results provide insights for hospitals to improve telehealth visit services.

Indexed as

COVID-19Hospitals, PediatricIntentionTelemedicineChildFemaleHumansMalePandemicsSARS-CoV-2Surveys and Questionnaireschildren’s hospitalcontinuance intentionpartial least squares structural equation modelingPLS-SEMtelehealth visit

Identifiers

PMID40279162
PMCPMC12064977

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.