Latent Profiles of Attitudes Toward Artificial Intelligence Applications Among Traditional Chinese Medicine Nurses and Associated Factors: A Multicenter Cross‐Sectional Study
- 1Department of Nursing Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian) Shenzhen Guangdong China
- 2The Sixth Clinical College of Guangzhou University of Chinese Medicine Guangzhou Guangdong China
- 3Maternal and Child Health Hospital of Futian District Shenzhen Guangdong China
Abstract
Background: Artificial intelligence (AI) technologies are increasingly being integrated into clinical nursing practice. However, nurses with different professional backgrounds may differ in their attitudes toward AI applications. Traditional Chinese medicine (TCM) nurses, whose practice integrates traditional Chinese nursing techniques, may have distinct perceptions and levels of acceptance of AI compared with general clinical nurses.
Methods: A multicenter cross‐sectional survey was conducted from 10 January to 7 April 2026 in three hospitals and 30 community health service centers in South China. A total of 590 TCM nurses were included. Data were collected using a self‐designed general information questionnaire and standardized scales. Latent profile analysis was performed using the 15‐item scores of the Attitude Scale Toward the Use of Artificial Intelligence Technologies in Nursing as observed indicators. Associations with profile membership were examined using R3STEP to account for classification uncertainty, with simultaneous adjustment for 13 covariates.
Results: The mean total score for attitudes toward AI applications among TCM nurses was 48.13 ± 13.49. Three latent profiles were identified: the low AI acceptance profile (25.14%), the moderate AI acceptance profile (39.68%), and the high AI acceptance profile (35.18%). R3STEP analyses identified profile‐specific associations of TCM specialist nursing experience, education, professional title, TCM nursing professional level, intelligent‐device use, self‐rated familiarity with AI, AI‐related training, and technology anxiety with profile membership.
Conclusions: TCM nurses demonstrated three latent profiles of attitudes toward AI applications: low, moderate, and high AI acceptance. Profile membership was associated with several occupational and technology‐related characteristics, with patterns varying across profile comparisons. These findings may inform AI training and implementation that take differences in nurses’ acceptance into account.
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BibTeX
@article{lu2026latent,
title = {{Latent Profiles of Attitudes Toward Artificial Intelligence Applications Among Traditional Chinese Medicine Nurses and Associated Factors: A Multicenter Cross‐Sectional Study}},
author = {Shuang Lu and Xian Liu and Longxian Liu and Xinrong Tan and Guo Yu and Wenxia Hu and Meigui Peng and Ziyi Yuan and Shaoyang Cui and Meng Wu and Zining Guo},
journal = {Journal of Nursing Management},
year = {2026},
month = nov,
doi = {10.1155/jonm/6814652},
url = {https://doi.org/10.1155/jonm/6814652},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Latent Profiles of Attitudes Toward Artificial Intelligence Applications Among Traditional Chinese Medicine Nurses and Associated Factors: A Multicenter Cross‐Sectional Study
AU - Shuang Lu
AU - Xian Liu
AU - Longxian Liu
AU - Xinrong Tan
AU - Guo Yu
AU - Wenxia Hu
AU - Meigui Peng
AU - Ziyi Yuan
AU - Shaoyang Cui
AU - Meng Wu
AU - Zining Guo
PY - 2026
DA - 2026/11/04
JO - Journal of Nursing Management
DO - 10.1155/jonm/6814652
UR - https://doi.org/10.1155/jonm/6814652
AB - Background: Artificial intelligence (AI) technologies are increasingly being integrated into clinical nursing practice. However, nurses with different professional backgrounds may differ in their attitudes toward AI applications. Traditional Chinese medicine (TCM) nurses, whose practice integrates traditional Chinese nursing techniques, may have distinct perceptions and levels of acceptance of AI compared with general clinical nurses. Methods: A multicenter cross‐sectional survey was conducted from 10 January to 7 April 2026 in three hospitals and 30 community health service centers in South China. A total of 590 TCM nurses were included. Data were collected using a self‐designed general information questionnaire and standardized scales. Latent profile analysis was performed using the 15‐item scores of the Attitude Scale Toward the Use of Artificial Intelligence Technologies in Nursing as observed indicators. Associations with profile membership were examined using R3STEP to account for classification uncertainty, with simultaneous adjustment for 13 covariates. Results: The mean total score for attitudes toward AI applications among TCM nurses was 48.13 ± 13.49. Three latent profiles were identified: the low AI acceptance profile (25.14%), the moderate AI acceptance profile (39.68%), and the high AI acceptance profile (35.18%). R3STEP analyses identified profile‐specific associations of TCM specialist nursing experience, education, professional title, TCM nursing professional level, intelligent‐device use, self‐rated familiarity with AI, AI‐related training, and technology anxiety with profile membership. Conclusions: TCM nurses demonstrated three latent profiles of attitudes toward AI applications: low, moderate, and high AI acceptance. Profile membership was associated with several occupational and technology‐related characteristics, with patterns varying across profile comparisons. These findings may inform AI training and implementation that take differences in nurses’ acceptance into account.
SN - 0966-0429
SN - 1365-2834
ER -