Work

Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study

Year: 2025

Type: article

Abstract: AIM: This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture. METHODS: A convenience sampling method was employed to recruit 499 clinical nurses from Sichuan Province, China. Following the Brislin model, the ASUAITIN scale underwent forward translation, synthesis, and back-translation. Cultural adaptation and revisions were conducted through expert consultation and pilot testing, resulting in the finalized ASUAITIN-C. The structural validity of the scale was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed through internal consistency and test-retest reliability. RESULTS: The ASUAITIN-C consists of 15 items and two factors, which account for 73.278% of the total variance. The overall Cronbach's α coefficient of the ASUAITIN-C is 0.785, while the Cronbach's α values for the two subdimensions are 0.920 and 0.948, respectively. The test-retest reliability over two months, measured by the intraclass correlation coefficient (ICC), is 0.91. CONCLUSION: Studies have shown that this questionnaire is a valid and reliable tool for assessing nurses' attitudes toward using artificial intelligence in the nursing field.

Source: BMC Nursing

DOI: 10.1186/s12912-025-03322-3

Authors: Rong Hu, Yan-fei Ma, Chun-yan Wang, Xiao-ya Li, Hua-ping Huang

Institutions: University of Electronic Science and Technology of China, Mianyang Central Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,090