Measuring Positive and Negative Attitudes Associated With the Use of Artificial Intelligence in Nursing Profession: Cross‐Cultural Adaptation and Psychometric Analysis of ASUAITIN

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Authors: Z F Chen, Xingxing Wu, Hong Li, Shufen Ke, Rong Lin
Cited by: 1
References: 55

Abstract

BACKGROUND: Artificial intelligence (AI) technologies have appeared in many specific clinical nursing scenarios, but its actual adoption effect remains challenging. Assessing nurses' attitude toward the use of artificial intelligence technologies will help optimize the integration of AI technologies in the field of nursing. AIM: The aim of this study is to cross-culturally adapt the Attitude Scale towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) to the Chinese nursing cultural context and verify its reliability and validity in the nurse population. METHODS: This cross-sectional study adhered to the STROBE guidelines and was designed to translate the ASUAITIN into Chinese. Experts and clinical nurses were invited to discuss and modify the content and concepts, as well as to assess its alignment with the Chinese cultural context. A total of 436 clinical nurses from 20 hospitals in Fujian Province, China, were surveyed from March to April 2025, and the psychometric properties of the Chinese version of ASUAITIN were evaluated. RESULTS: The Chinese version of ASUAITIN consists of 15 items and 2 dimensions, namely, positive attitude and negative attitude, which demonstrates acceptable content validity. Exploratory factor analysis showed that the scale consists of 2 factors, explaining 68.92% of the total variance, with loadings of each factor ranging from 0.704 to 0.912. Confirmatory factor analysis supported the two-factor structure and indicated acceptable model fit and good convergent validity and was able to fully represent the scale structure. Meanwhile, the internal consistency and test-retest reliability were satisfactory. CONCLUSION: The Chinese version of ASUAITIN showed acceptable validity and reliability and can, therefore, be used to assess Chinese nurses' attitudes toward the use of AI technologies. IMPLICATIONS FOR NURSING MANAGEMENT: The scale provides the nursing management with a practical tool to assess nurses' attitudes toward the use of AI technologies and promote smoother integration of AI technologies. It supports targeted training programs to enhance nurses' AI application.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Simulation-Based Education in Healthcare Health Education and Validation

Publication details

Journal / source
Journal of Nursing Management
Publisher
Wiley
Volume
2026
Issue
1
Pages
e5888837–e5888837
Publication date
1 January 2026
Language
EN