护理领域人工智能技术应用态度量表的汉化及信效度检验

Objective] To translate and adapt the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) into Chinese, and to test its reliability and validity, so as to provide an evaluation tool for assessing the attitudes of clinical nurses towards the application of artificial intelligence technologies in their work. [Methods] Using the Brislin translation model, the scale was translated, back-translated, culturally adapted, and pre-investigated to form the Chinese version of ASUAITIN. By convenience sampling, a questionnaire survey was conducted among 396 nurses in a tertiary first-class hospital in Beijing in March 2025 to test the reliability and validity of the scale. [Results] The Chinese version of ASUAITIN consisted of 15 items in 2 dimensions. The Cronbachs coefficient of the scale was 0.939, the split-half reliability was 0.738, the Cronbachs coefficients of each dimension were 0.945 and 0.956 respectively, and the test-retest reliability was 0.935. The content validity index at the scale level was 0.981, and the content validity index at the item level ranged from 0.875 to 1.000. Through exploratory factor analysis, 2 common factors were extracted, with a cumulative variance contribution rate of 77.402%. The results of confirmatory factor analysis (CFA) showed that the chi-square to degrees of freedom ratio (/df) was 2.242, the Comparative Fit Index (CFI) was 0.966, the Goodness-of-Fit Index (GFI) was 0.882, the Adjusted Goodness-of-Fit Index (AGFI) was 0.941, the Incremental Fit Index (IFI) was 0.967, the Tucker-Lewis Index (TLI) was 0.959, the Relative Fit Index (RFI) was 0.929, and the Root Mean Square Error of Approximation (RMSEA) was 0.079. [Conclusion] The Chinese version of ASUAITIN has good reliability and validity, and can be used to evaluate the attitudes of Chinese clinical nursing staff towards the application of artificial intelligence technologies.