WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Article
    The Relationship Between Nurses Anxiety and Attitudes Towards Artificial Intelligence and Examination of Influencing Factors
    (BMC, 2026) Nirgiz, Cansu; Sari, Merve Kiymac; Cayli, Nazan
    Aim to explore the relationships between nurses'anxiety and attitudes toward artificial intelligence (AI) and the factors associated with them. Background Although AI technologies are increasingly integrated into healthcare, research exploring nurses ' psychological readiness and emotional responses to AI remains limited. Existing studies have primarily focused on nursing students or general healthcare professionals, leaving a gap in understanding how practicing nurses perceive and emotionally adapt to AI within real clinical environments-particularly in T & uuml;rkiye, where digital transformation in healthcare is accelerating. Addressing this gap is essential, as nurses play a pivotal role in ensuring the safe and ethical implementation of AI-driven tools in patient care. Methods This descriptive and correlational study included 562 nurses from 14 branches of a private hospital chain across seven Turkish cities between November 2024 and January 2025.This sample was selected because it represents nurses actively engaged in clinical decision-making within healthcare systems that are rapidly adopting AI technologies. According to a power analysis performed in G*Power (rho = 0.25, alpha = 0.05, power = 0.95), the required sample size was 202 participants. Data were collected through an online questionnaire comprising a Descriptive Information Form, the AI Anxiety Scale, and the General Attitudes toward AI Scale. Descriptive statistics, independent samples t-tests, ANOVA (F), Tukey post hoc test, Pearson correlation, and multiple regression analyses were conducted. Ethical approval was obtained from the Fenerbah & ccedil;e University Ethics Committee, and informed consent was obtained digitally. Results Nurses reported moderate anxiety levels and generally positive attitudes toward AI. Male nurses showed an association with lower anxiety levels and higher positive attitude scores than female nurses. Single individuals and those with higher levels of education showed higher positive attitudes toward AI. Those with 0-3 years of experience in the profession were associated with lower anxiety and higher positive attitude scores. Nurses who used AI in practice, were knowledgeable about its use, or perceived it as reliable showed a relationship with lower anxiety and more positive attitudes. Regression analysis showed that each one-unit increase in the learning and AI configuration subscales of the AI Anxiety Scale was associated with a 0.740-and 0.716-point lower score in the total attitude score, respectively. Conclusion The findings suggest that lower levels of anxiety related to learning and AI configuration are associated with more positive attitudes toward AI. Addressing these specific anxiety domains may be related to the successful integration of AI technologies into clinical practice and could be linked to the digital transformation in healthcare.
  • Article
    Nursing Students Thoughts and Knowledge Levels About Global Warming
    (Marmara Univ, inst Health Sciences, 2024) Gür, Kamer; Kolac, Nurcan; Çalık, Kesver Burcu; Nirgiz, Cansu; Doğan, Rıdvan
    Objective: The aim of this study is to determine nursing students’ thoughts and knowledge levels about global warming. Methods: This descriptive study was conducted with 236 nursing students studying at the faculty of health sciences of a state university between May and July 2022. Data were collected using a Sociodemographic Form, the Global Warming Questionnaire. Independent Samples t-test, One-Way ANOVA were used to evaluate the data. Results: Ninety-seven percent of the students stated that global warming was a public health issue. Students’ mean score on the global warming knowledge scale was 90.02±8.76. There was a significant difference between the mean scale score participating in activities on the subject, having received information/education on environment, climate change aside from undergraduate education, wanting to become a member of an environmental non-governmental organization, and school year (p <.05). Conclusion: Participants’ knowledge level about global warming was above the average value of the scale. However, they still needed information, greater sensitivity to participate in environmental non-governmental organizations, global warming activities. For all these reasons, it is recommended that nursing students increase their knowledge and sensitivity during their undergraduate education, learn ways to combat the adverse effects of climate change, put them into practice.