Evidence map›Paper›PMID 42512561›Full record

ArticleHealthcare (Basel, Switzerland)2026

Driving Revisit Intentions Through Medical Information and Service Quality in General Hospitals: An Extended Technology Acceptance Model Approach.

Jebum Kim, SangYoon Lim

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 authors.

Jebum KimDepartment of Global Culture and Management, Calvin University, Yongin-si 16911, Republic of Korea.ORCID 0009-0000-0998-2053
SangYoon LimHealthcare Administration Team, Seoul National University Bundang Hospital, Seongnam-si 13620, Republic of Korea.ORCID 0009-0002-9385-0604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs Information and Communication Technology (ICT) advances, the healthcare market is shifting toward a consumer-centered paradigm. This study analyzes the structural relationships between medical information quality, medical service quality, and Technology Acceptance Model (TAM) variables to determine their impact on patient satisfaction and revisit intentions in a general hospital context.

methodsAn online survey was conducted with 376 consumers who had experience using general hospitals in South Korea between June and December 2024. Data were analyzed using structural equation modeling (SEM) with SPSS 29.0 and AMOS 29.0. Ethical measures, including informed consent and anonymity, were strictly followed.

resultsFindings indicate that among medical information quality factors, accuracy significantly enhanced perceived usefulness, while timeliness positively influenced perceived ease of use. Regarding medical service quality, both accessibility and responsiveness significantly improved both usefulness and ease of use, with responsiveness being the most powerful predictor of ease of use (β = 0.655). While both TAM variables significantly increased patient satisfaction, only perceived ease of use and satisfaction directly drove revisit intentions; perceived usefulness influenced revisit intention only through the mediation of satisfaction.

conclusionsPatient satisfaction is a paramount factor directly influencing loyalty. Healthcare administrators should prioritize the accuracy and timeliness of digital health information while improving service responsiveness to enhance long-term hospital competitiveness in the proactive consumer era.

Indexed as

medical information qualitymedical service qualitypatient satisfactionrevisit intentiontechnology acceptance model (TAM)

Identifiers

PMID42512561
PMCPMC13410129

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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.