ArticleBMC nursing2025
Unraveling research self-efficacy and concerns as factors associated with psychological distress among nursing scholars in the era of artificial intelligence: a multi-campus survey.
Article in BMC nursing, 2025. 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe relentless march of artificial intelligence (AI) has emerged as a formidable catalyst, offering a toolbox of novel tools and methodologies with the potential to revolutionize the very essence of research practices.
objectivesTo explore the association of levels of research self-efficacy and concerns related to artificial intelligence with psychological distress among nursing scholars.
methodsA descriptive, multi-campus survey, cross-sectional design was adopted in this study. The study employed a clustered sampling technique to ensure representation from different regions. A sample of 1494 nursing scholars completed the nursing scholars' concerns toward the artificial intelligence questionnaire, Kessler psychological distress, and the research self-efficacy scale.
resultsPsychological distress is negatively correlated with researchers' self-efficacy while positively correlated with concerns regarding AI. Concerns about AI contributed to increased psychological distress. In addition, female academic staff reported significantly higher psychological distress compared to males, and those younger staff members experienced more distress than older colleagues, and lower research self-efficacy was associated with higher psychological distress, and those with less experience in publishing and fewer published articles tended to report more distress.
conclusionThis study underscores the critical role of research self-efficacy in the era of artificial intelligence in mitigating psychological distress, highlighting its significance as a key protective factor. These insights contribute to a deeper understanding of the factors influencing psychological well-being in academic and research settings, guiding future strategies to foster resilience and mental well-being. CLINICAL
trial registrationNot applicable.
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.