Evidence map›Paper›PMID 42135760›Full record

ArticleBMC medical education2026

Cross-cultural adaptation and psychometric validation of the interdisciplinary digital literacy scale for medical students: the Turkish version (DLAD-TR).

Yıldız Büyükdereli Atadağ, Tuba Saygılı, Aslıhan Çelik Çoban

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Article in BMC medical education, 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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5 · Who and what money

Authors and funding

3 authors.

Yıldız Büyükdereli AtadağDepartment of Family Medicine, Medical Faculty, Gaziantep University, Gaziantep, TR-27310, Turkey. yildizatadag@gmail.com.
Tuba SaygılıŞehitkamil District Health Directorate, Gaziantep, Turkey.
Aslıhan Çelik ÇobanŞehitkamil District Health Directorate, Gaziantep, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs digital technologies increasingly shape healthcare delivery and education, Turkish medical education still lacks a culturally equivalent and psychometrically validated instrument to assess these skills among clinical-year students. The aim of this study is to adapt the Digital Literacy Across Disciplines Scale (DLAD) into Turkish culture and evaluate the psychometric properties of the DLAD-TR.

methodsThis methodological validation study was conducted with clinical-year medical students (n = 480) at Gaziantep University Faculty of Medicine. The cross-cultural adaptation process included forward-backward translation, expert panel review, and pilot testing. Construct validity was examined using exploratory factor analysis (principal axis factoring with Promax rotation) and confirmatory factor analysis (maximum likelihood estimation). Internal consistency was assessed using Cronbach's alpha, McDonald's omega, and composite reliability, and temporal stability was evaluated using the intraclass correlation coefficient (ICC; two-way mixed-effects, absolute agreement) based on a two-week test-retest interval.

resultsSuitability for factor analysis was confirmed by the Kaiser-Meyer-Olkin value (0.843) and a significant Bartlett's test of sphericity. In the final EFA solution, one item (Q10) with cross-loadings was removed, resulting in a 23-item, three-factor structure. CFA (n = 240) indicated that the model demonstrated acceptable fit indices. In the test-retest subsample (n = 16), intraclass correlation coefficients ranged from 0.52 to 0.78 for the subscales and 0.72 for the total score, indicating acceptable but imprecise temporal stability due to the small subsample size.

conclusionThe DLAD-TR appears to be a valid and reliable instrument for assessing digital literacy in clinical-year medical students using three factors and 23 items. The scale may facilitate needs assessment of digital literacy in medical education, support the planning of targeted educational interventions, and enable pre-post evaluation of such interventions.

trial registrationNot applicable. This study did not involve a healthcare intervention or a clinical trial.

Indexed as

Computer LiteracyStudents, MedicalCross-Cultural ComparisonFactor Analysis, StatisticalFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesTranslatingTurkeyDigital literacyMedical educationMedical studentsNeeds assessmentScale adaptationValidity and reliability

Identifiers

PMID42135760
PMCPMC13343997

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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.