ArticleBMC nursing2025
Psychometrics of the Attitude Scale towards the use of Artificial Intelligence Technologies in Nursing.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Validity and Reliability of the Medical Artificial Intelligence Readiness Scale, Korean Version: A Methodological and Cross-Sectional Study.Nursing & health sciences · 2026Article
- Chinese version of the Nurses' AI Ethical Awareness Scale: translation, cross-cultural adaptation, and psychometric evaluation among hospital nurses.BMC nursing · 2026Article
- Latent profiles of nurses' attitudes toward artificial intelligence in nursing and associated factors: a cross-sectional study.BMC nursing · 2026Article
- Cross-cultural adaptation and psychometric evaluation of the Shinners Artificial Intelligence Perception Scale (SAIP): evidence from Turkish nursing students.BMC nursing · 2026Article
- Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability in nursing interns.BMC nursing · 2026Article
- Artificial intelligence literacy and influencing factors among clinical nurses in southeastern China: a latent profile analysis.BMC nursing · 2026Article
- The effect of artificial intelligence-assisted applications on the perception of nursing values and the mediating role of resilience.BMC nursing · 2026Article
- Are surgical nurses ready for artificial intelligence? Attitudes toward artificial intelligence technologies in surgical units.BMC nursing · 2026Article
- Mapping factors associated with nurses' attitudes toward artificial intelligence: a scoping review.BMC nursing · 2026Article
- Research on artificial intelligence literacy among nursing professionals: a scoping review.BMC nursing · 2026Article
- The impact of innovativeness on Chinese nurses' attitudes toward artificial intelligence: a cross-sectional study based on the technology acceptance model.BMC nursing · 2026Article
- Artificial intelligence readiness and its relationship with thriving at work among Chinese nurses: a latent profile analysis.Frontiers in public health · 2026Article
- Measuring Positive and Negative Attitudes Associated With the Use of Artificial Intelligence in Nursing Profession: Cross-Cultural Adaptation and Psychometric Analysis of ASUAITIN.Journal of nursing management · 2026Article
- Assessing nurses' attitudes toward artificial intelligence in Kazakhstan: psychometric validation of a nine-item scale.Frontiers in digital health · 2026Article
- Cross-cultural validation of the Chinese version of the lean management scale for nursing services in hospitals.Frontiers in public health · 2026Article
- Analysis of latent profiles and influencing factors of artificial intelligence anxiety among newly recruited nurses: a cross-sectional study.Frontiers in public health · 2026Article
- Change Fatigue and Attitudes Toward AI in County-Level Nurses: The Mediating Role of AI Literacy.Journal of nursing management · 2026Article
- The Mediating and Moderating Roles of Innovation Climate in the Relationship Between Nurses' Attitudes Toward Artificial Intelligence, Creative Self-Efficacy, and Clinical Competence.Journal of nursing management · 2026Article
- A cross-sectional analysis of AI readiness and attitudes among nurses in resource-limited Chinese county hospitals.Frontiers in digital health · 2026Article
- Impact of Hospital Hierarchy on Nurses' Attitudes Toward Artificial Intelligence: Mediating Roles of Artificial Intelligence Literacy and Anxiety.Journal of nursing management · 2026Article
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Abstract
backgroundIt is clear that nursing practice is directly affected by artificial intelligence (AI), and in this regard, a need is felt for more information on the knowledge and attitudes of nurses to the use of AI technology in nursing care practice. However, no inclusive measurement instrument tested for validity and reliability evaluating the attitudes of nurses to the use of AI technology was found. The aim of this research was to develop and test the validity of the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) in the Turkish language.
methodsThe research was a methodological and cross-sectional study, designed to develop and test the validity of the ASUAITIN. STROBE guidelines were followed in the study. In order to create the starting materials, the researchers made a scan of the literature. Two hundred nurses working in the internal medicine, surgical and intensive care departments of a university hospital in the Marmara Region of Turkey were included in the study. Items were assessed for content validity. ASUAITIN was tested for construct validity and internal consistency reliability.
resultsASUAITIN consists of 15 items. It has two dimensions, positive attitude, and negative attitude to AI technology in nursing practice, and practice and explains 67.762% of total variance. Item loads were between 0.529 and 0.866. Cronbach alpha values were calculated to be 0.910 for the total scale, 0.933 for Factor 1, and 0.917 for Factor 2.
conclusionsThe results of this study show that the ASUAITIN scale are validated and reliable measurement tool. ASUAITIN can be used as an instrument to assess the attitudes to AI technology in practice among nurses working in the clinical field. CLINICAL TRIAL NUMBER: Not applicable.
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