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Aims: To culturally adapt the OMS-HC and examine its psychometric properties in a sample of nursing students in Spain.
Design: A cross-sectional validation study design METHODS: The original scale was translated and adapted following the International Test Commission guidelines for translating and adapting tests. The reliability was measured using the ordinal alpha method. The factor structure was determined by Confirmatory Factor Analysis (CFA). A CFA was performed using the Diagonally Weighted Least Squares (DWLS) estimation method for ordinal data with robust standard errors. Convergent validity was assessed using Spearman's rank correlation coefficients between the OMS-HC scale and the Level of Contact Report.
Results: A total of 747 nursing students participated in the study. The Spanish version tested on nursing students included 15 items and the factorial structure was one-dimensional. This model obtained a good fit for both the absolute and the incremental fit indices. Convergent validity results showed a negative correlation between the level of contact report and scores on the one-dimensional version of the OMS-HC-15 items. The reliability was acceptable, as reflected by the ordinal alpha.
Conclusion: The OMS-HC has adequate psychometric properties in Spanish nursing students. This questionnaire may be useful for measuring a single aspect, namely stigma.
Implications For The Profession: Its relevance lies in the possibility for instructors to measure changes in stigma following educational or awareness-raising interventions to ensure that people with mental disorders receive better healthcare.
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http://dx.doi.org/10.1016/j.nepr.2025.104469 | DOI Listing |
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFBackground: The growing use of artificial intelligence (AI) in health care raises concern, as nursing students are not adequately educated on its use in practice. This study evaluated the effect of an AI education module on undergraduate nursing students' AI literacy and anxiety.
Method: Students completed surveys measuring AI literacy and anxiety before and after the module, which included videos, articles, a presentation, and an assignment using ChatGPT.
J Nurs Educ
September 2025
Wolters Kluwer Health, New York, New York; and.
Background: Examinations are used widely in nursing education to evaluate knowledge attainment. New item types were initiated in April 2023 by the National Council of State Boards of Nursing (NCSBN) for use on the Next Generation National Council Licensure Examination for Registered Nurses (NGN NCLEX-RN). Little evidence exists for how much time is needed for exams that use the new item types.
View Article and Find Full Text PDFJ Nurs Educ
September 2025
Background: Ceremonies and symbols have been used to create a professional identity and recognize nursing graduates. This study describes the current use of recognition programs and the relationship between pinning ceremonies and demographic variables.
Method: A researcher-constructed survey, with forced-choice and open-ended questions, was distributed electronically to deans and directors of accredited entry-level nursing programs.