{"title":"Reliability and validity of the Turkish version of the digital competence questionnaire for nurses.","authors":"Arzu Bulut, Reyhan İnce Kasap, Nuray Yılmaz","doi":"10.1186/s12912-025-03052-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Digital competence is crucial for nurses adapting to technological advancements and ensuring effective patient care. The purpose of this study was to evaluate the reliability and validity of the Turkish version of the Digital Competence Questionnaire (DCQ), thus providing a scientific basis for its study application among Turkish nurses.</p><p><strong>Methods: </strong>A cross-sectional validation study was conducted with 423 registered nurses from two hospitals in the Black Sea region Turkiye using convenience sampling. Two independent samples were collected: 208 participants for exploratory factor analysis (EFA) and 215 participants for confirmatory factor analysis (CFA). The data were collected through online surveys, assessing demographic characteristics, digital competence, attitudes towards digital technology, and affinity for technology interaction. The Turkish version of DCQ was created by translating and revising the original scale, conducting item and factor analysis, and validating it with validation factor analysis.</p><p><strong>Results: </strong>The Turkish version of the DCQ demonstrated a two-factor structure: Knowledge and Skills, and Attitude. EFA and CFA confirmed the scale's construct validity. The CFA model fit indices indicated an excellent fit with the data. Reliability measures were high, with internal consistency and test-retest reliability. Scores on the Turkish version of the DCQ were significantly associated with technology interaction and attitudes toward digital technology. The Turkish DCQ showed robust psychometric properties, aligning with the theoretical framework of digital competence.</p><p><strong>Conclusions: </strong>The Turkish adaptation of the DCQ is a valid and reliable instrument for assessing nurses' digital competence. It provides a valuable resource for identifying gaps in digital skills and designing targeted interventions in clinical practice. The tool also supports efforts to enhance digital literacy and integration of digital technologies within nursing education and practice in Turkiye.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"24 1","pages":"1225"},"PeriodicalIF":3.9000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486577/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12912-025-03052-6","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Digital competence is crucial for nurses adapting to technological advancements and ensuring effective patient care. The purpose of this study was to evaluate the reliability and validity of the Turkish version of the Digital Competence Questionnaire (DCQ), thus providing a scientific basis for its study application among Turkish nurses.
Methods: A cross-sectional validation study was conducted with 423 registered nurses from two hospitals in the Black Sea region Turkiye using convenience sampling. Two independent samples were collected: 208 participants for exploratory factor analysis (EFA) and 215 participants for confirmatory factor analysis (CFA). The data were collected through online surveys, assessing demographic characteristics, digital competence, attitudes towards digital technology, and affinity for technology interaction. The Turkish version of DCQ was created by translating and revising the original scale, conducting item and factor analysis, and validating it with validation factor analysis.
Results: The Turkish version of the DCQ demonstrated a two-factor structure: Knowledge and Skills, and Attitude. EFA and CFA confirmed the scale's construct validity. The CFA model fit indices indicated an excellent fit with the data. Reliability measures were high, with internal consistency and test-retest reliability. Scores on the Turkish version of the DCQ were significantly associated with technology interaction and attitudes toward digital technology. The Turkish DCQ showed robust psychometric properties, aligning with the theoretical framework of digital competence.
Conclusions: The Turkish adaptation of the DCQ is a valid and reliable instrument for assessing nurses' digital competence. It provides a valuable resource for identifying gaps in digital skills and designing targeted interventions in clinical practice. The tool also supports efforts to enhance digital literacy and integration of digital technologies within nursing education and practice in Turkiye.
期刊介绍：
BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.
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