Evidence map›Paper›PMID 42903289›Full record

ArticleFrontiers in public health2026

The digital physician illusion: individual innovativeness, unlike artificial intelligence attitudes, drives rational drug use through health literacy.

Kaan Raif, Kemal Cek, Saime Ulucayli, Fazilet Aksu

Abstract read
In one paragraph

Article in Frontiers in public 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

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

4 authors.

Kaan RaifDepartment of Healthcare Organizations Management, Faculty of Health Sciences, Near East University, Nicosia, Türkiye.
Kemal CekDepartment of Accounting and Finance, Cyprus International University, Nicosia, Türkiye.
Saime UlucayliDepartment of Healthcare Organizations Management, Faculty of Economics and Administrative Sciences, Cyprus International University, Nicosia, Türkiye.
Fazilet AksuDepartment of Medical Pharmacology, Faculty of Medicine, DESAM Research Institute, Near East University, Nicosia, Cyprus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid integration of artificial intelligence into healthcare has transformed how individuals access medical information. However, the impact of artificial intelligence attitudes and individual innovativeness on clinically disciplined behaviors, such as rational drug use, and the mediating role of health literacy remains underexplored. Objective: This study aims to empirically investigate the structural relationships between artificial intelligence attitude, individual innovativeness, health literacy, and rational drug use within the digital health ecosystem of Northern Cyprus. Methods: A cross-sectional survey design was employed to collect data from 445 adults. The proposed relationships, integrating the Technology Acceptance Model and the Health Belief Model, were tested using Covariance-Based Structural Equation Modeling (CB-SEM) via IBM SPSS AMOS. A 5,000-resample bootstrapping procedure was utilized for mediation analysis. Results: The structural model demonstrated an acceptable fit to the data ( Conclusion: Although positive attitudes toward artificial intelligence enhance health literacy by improving access to information, this cognitive advantage does not inherently foster the clinical discipline required for rational drug use. The findings highlight the "Digital Physician Illusion," emphasizing that algorithmic guidance cannot replace the indispensable oversight of healthcare professionals.

Indexed as

Artificial IntelligenceHealth LiteracyAdultCross-Sectional StudiesCyprusDigital HealthFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultartificial intelligencedigital healthhealth literacyindividual innovativenessrational drug usestructural equation Modeling

Identifiers

PMID42903289
PMCPMC13680406

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.