Evidence map›Paper›PMID 42179824›Full record

ArticleFrontiers in digital health2026

Health literacy and attitudes toward clinical AI: a cross-sectional study in Istanbul.

Kadriye Sönmez

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. 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

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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

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

1 author.

Kadriye SönmezDepartment of Medical Documentation and Secretarial Program, Istanbul Topkapı University, Plato Vocational School, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine whether health literacy is associated with attitudes toward clinical artificial intelligence (AI) and to describe subgroup differences in this association. Methods: We used two samples. A validation sample ( Results: In the validation sample, a four-factor, second-order structure of the AI-KUAS was supported (CFI = .955, TLI = .943, SRMR = .037, RMSEA = .092), with high internal consistency ( Conclusion: Health literacy was positively and independently associated with more favorable attitudes toward clinical AI. Psychometric results suggested that perceived benefit and intention to use were closely related yet distinct dimensions within a four-factor structure. The findings align with literacy-aligned explanations, clear disclosure of AI use, and visible human oversight as practical implementation levers. Given the cross-sectional design and self-reported outcomes, longitudinal studies and measurement-invariance testing are warranted to support stronger causal and cross-group inference in future work.

Indexed as

artificial intelligencedigital healthhealth literacyhuman-AI interactionpublic attitudestechnology acceptance

Identifiers

PMID42179824
PMCPMC13190160

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.