ArticleFrontiers in public health2026
Clinical nurses as digital guardians: unlocking the key determinants of digital resilience in the AI era.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As artificial intelligence (AI) integrates into healthcare, clinical nurses need digital resilience to adapt to technological changes. However, little is known about the digital resilience of practicing nurses. This study aimed to investigate the current status and influencing factors of digital resilience among clinical nurses. Design: A quantitative, descriptive, cross-sectional study was conducted in two tertiary hospitals in Nantong City, China. Methods: A convenience sample of 460 clinical nurses completed questionnaires assessing general characteristics, AI literacy, organizational support, self-efficacy, and digital resilience. Multiple linear regression was used to identify influencing factors. Results: The mean digital resilience score was 123.05 ± 11.80 (possible range 39-195), indicating a moderate-to-high level. Monthly income, number of night shifts per month, participation in AI-related training, AI literacy, organizational support, and self-efficacy were significant predictors (all Conclusion: Digital resilience among clinical nurses is influenced by multiple factors. Nursing managers should implement systematic training, optimize shift schedules, enhance organizational support, and foster self-efficacy to improve digital resilience.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.