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    Paediatric nurses' perspectives on artificial intelligence applications: A cross-sectional study of concerns, literacy levels and attitudes
    (Wiley, 2025) Subasi, Damla Ozcevik; Sumengen, Aylin Akca; Semerci, Remziye; Simsek, Enes; Cakir, Gokce Naz; Temizsoy, Ebru
    Aims: This study aimed to explore the correlation between artificial intelligence (AI) literacy, AI anxiety and AI attitudes among paediatric nurses, as well as identify the influencing factors on paediatric nurses' AI attitudes. Design: A descriptive, correlational and cross-sectional research. Methods: This study was conducted between January and February 2024 with 170 nurses actively working in paediatric clinics in Turkey. The data collection tools included the Nurse Information Form, the General Attitudes Towards Artificial Intelligence Scale (GAAIS), the Artificial Intelligence Literacy Scale (AILS) and the Artificial Intelligence Anxiety Scale (AIAS). To determine the associations between the variables, the data was analysed using IBM SPSS 28, which included linear regression and Pearson correlation analysis. Results: The study indicated significant positive correlations between paediatric nurses' age and their AIAS scores (r =.226; p <.01) and significant negative correlations between paediatric nurses' age and their AILS (r = -.192; p <.05) and GAAIS scores (r = -.152; p <.05). The GAAIS was significantly predictive (p <.000) and accounted for 50% of the variation in AIAS and AILS scores. Conclusion: Paediatric nurses' attitudes towards AI significantly predicted AI literacy and AI anxiety. The relationship between the age of the paediatric nurses and the anxiety, AI literacy and attitudes towards AI was demonstrated. Healthcare and educational institutions should create customized training programs and awareness-raising activities for older nurses, as there are noticeable variations in the attitudes of paediatric nurses towards AI based on their age. Implications for Profession and/or Patient Care: Providing in-service AI training can help healthcare organizations improve paediatric nurses' attitudes towards AI, increase their AI literacy and reduce their anxiety. This training has the potential to impact their attitudes positively and reduce their anxiety. Reporting Method: The study results were critically reported using STROBE criteria. Patient or Public Contribution: No patient or public contribution.
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    Psychometric Properties of a Turkish Version of The Psychosocial Needs Inventory; Sampling from Oncology Patients
    (Elsevier Science Inc, 2024) Guner, Perihan; Yildirim, Nazmiye Kocaman; Inci, Figen; Sanci, Kadriye; Semerci, Remziye
    Objectives: This study aimed to assess the reliability and validity of the Psychosocial Needs Inventory (PNI) among Turkish oncology patients. Methods: A methodological study was conducted with 1,547 oncology patients. This validation study was divided into two phases. Phase 1 included translation of the PNI according to World Health Organization recommendations, investigation of content validity by experts, and a pilot study involving 136 participants. Phase 2 included a validity and reliability analysis of the PNI. Data analysis comprised exploratory (EFA) and confirmatory factor analyses (CFA), Cronbach's alpha, test-retest reliability, Hotelling's T2 test and item-total score correlation, and the Content Validity Index (CVI). Results: For the phase 1, the CVI for items and scale were >.75 and .883, respectively. Cronbach's alpha values of the subdimensions ranged between 0.84 and 0.94. The test-retest analyses of the subdimensions showed correlation coefficients based on the pilot test (p < .001). For the phase 2, based on the fit indices in confirmatory factor analysis, the structures of the dimensions Importance and Satisfaction were acceptable. Cronbach's alpha values of the subdimensions ranged between 0.84 to 0.94 in the Importance dimension and 0.86 to 0.94 in the Satisfaction dimension. As a result of EFA, the Kaiser-Meyer-Olkin, Bartlett's test (p < 0.001) and PNI Importance explained at 68.46% and PNI Satisfaction at 70.15% of the total variance by the six-factor structure. CFA showed that the indices and validity, including content validity, convergent validity were satisfactory. Conclusion: The PNI, which was found to be a valid and reliable measurement tool, can be used to determine the psychosocial needs of cancer patients. Implications for Nursing Practice: Health professionals need to use the PNI to measure their importance to cancer patients' psychosocial needs and assess their satisfaction with meeting them to improve holistic care and support. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.