ArticleJournal of nursing management2026
Change Fatigue and Attitudes Toward AI in County-Level Nurses: The Mediating Role of AI Literacy.
Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Change Fatigue and Attitudes Toward AI in County-Level Nurses: The Mediating Role of AI Literacy.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGrounded in the conservation of resources theory, this study aimed to examine the mediating role of artificial intelligence literacy in the relationship between change fatigue and attitudes toward AI application among nurses in county-level hospitals, thereby providing insights for enhancing AI technology acceptance in primary care settings.
backgroundCounty-level hospitals in China are undergoing significant organizational transformations alongside rapid technological advancements. Nurses in these settings frequently experience change fatigue due to continuous institutional reforms, while simultaneously facing challenges in adapting to artificial intelligence technologies. Understanding the psychological mechanisms underlying nurses' acceptance of AI is crucial for successful technology implementation in primary care settings.
designA cross-sectional analytic study employing mediation analysis.
methodsA cross-sectional survey was conducted using convenience sampling from August to September 2025. A total of 460 clinical nurses from a county-level tertiary B hospital in Nantong City, China (99.6% female; mean age 31-40 years: 43.3%), were assessed. Data were analyzed using structural equation modeling with the maximum likelihood estimation method, and the significance of indirect effects was tested using the bootstrap method (5000 samples).
resultsThe mean scores for change fatigue, AI literacy, and AI application attitudes were 29.27 ± 6.98, 49.82 ± 5.27, and 45.26 ± 2.45, respectively. Change fatigue showed a significant negative association with AI application attitudes (β = -0.36, p < 0.001), while AI literacy demonstrated a significant positive effect (β = 0.34, p < 0.001). AI literacy partially mediated the relationship between change fatigue and AI application attitudes (indirect effect = -0.185, 95% CI: [-0.231, -0.142]), accounting for 37.7% of the total effect.
conclusionAI literacy plays a significant partial mediating role. To improve nurses' acceptance of AI technologies, nursing administrators should implement dual interventions aimed at both alleviating change fatigue (e.g., paced change management and psychological support) and systematically enhancing AI literacy (e.g., stratified training programs).
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.