Özçevik Subaşi Damla, Akça Sümengen Aylin, Semerci Remziye, Şimşek Enes, Çakır Gökçe Naz, Temizsoy Ebru
Ozsubasi Architecture and Engineering Company, Aydın, Turkey.
Capstone College of Nursing, The University of Alabama, Tuscaloosa, Alabama, USA.
J Adv Nurs. 2025 Mar;81(3):1353-1363. doi: 10.1111/jan.16335. Epub 2024 Jul 14.
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.
A descriptive, correlational and cross-sectional research.
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.
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.
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.
The study results were critically reported using STROBE criteria.
No patient or public contribution.
本研究旨在探讨儿科护士的人工智能素养、人工智能焦虑与人工智能态度之间的相关性，并确定影响儿科护士人工智能态度的因素。
一项描述性、相关性横断面研究。
本研究于2024年1月至2月进行，研究对象为土耳其儿科诊所的170名在职护士。数据收集工具包括护士信息表、人工智能总体态度量表（GAAIS）、人工智能素养量表（AILS）和人工智能焦虑量表（AIAS）。为了确定变量之间的关联，使用IBM SPSS 28对数据进行分析，包括线性回归和Pearson相关性分析。
研究表明，儿科护士的年龄与AIAS得分之间存在显著正相关（r = 0.226；p < 0.01），儿科护士的年龄与AILS得分（r = -0.192；p < 0.05）和GAAIS得分（r = -0.152；p < ）之间存在显著负相关。GAAIS具有显著预测性（p < 0.000），并解释了AIAS和AILS得分变异的50%。
儿科护士对人工智能的态度显著预测了人工智能素养和人工智能焦虑。研究证明了儿科护士年龄与焦虑、人工智能素养以及对人工智能态度之间的关系。由于儿科护士对人工智能的态度因年龄存在显著差异，医疗保健和教育机构应为年长护士制定定制化培训计划和提高认识活动。
对专业和/或患者护理的启示：提供在职人工智能培训有助于医疗保健机构改善儿科护士对人工智能的态度，提高他们的人工智能素养并减轻焦虑。这种培训有可能对他们的态度产生积极影响并减轻焦虑。
使用STROBE标准对研究结果进行严格报告。
无患者或公众参与。
