Evidence map›Paper›PMID 42316140›Full record

ArticleBMC nursing2026

Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability in nursing interns.

Mengjia Yi, Yanmei Gan, Tingting Liao, Lan Luo, Yunxu Huang, Gaoye Li

Abstract read
In one paragraph

Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mengjia YiCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yanmei GanCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Tingting LiaoCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lan LuoCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yunxu HuangCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Gaoye LiCardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. gxnnlgy@126.com.

Funding

the Undergraduate Education and Teaching Reform Project of Guangxi Medical University 2025XJGYC49
6 · The paper itself

Abstract

backgroundTo determine the levels of attitudes toward artificial intelligence(AI), creative self-efficacy, and problem-solving ability among nursing interns enrolled in diploma and bachelor's nursing programs who were in the final stage of their clinical training in Guangxi, China, and to explore the relationships among these variables as well as the factors associated with attitudes toward artificial intelligence.

methodsA cross-sectional survey design was conducted among 259 nursing interns undertaking their final-year clinical internships across seven hospitals. Data were collected between July and August 2025 using an online questionnaire assessing sociodemographic characteristics, AI attitudes, creative self-efficacy, and problem-solving ability. Correlation and multiple linear regression analyses were performed. The study followed ethical principles and STROBE reporting guidelines.

resultsThe mean score for nursing interns' attitudes toward artificial intelligence (AIA) was 47.70 ± 8.75, the mean score for creative self-efficacy (CSE) was 28.56 ± 6.20, and the mean score for problem-solving ability (PSA) was 79.83 ± 17.53. Spearman correlation analysis showed that AIA was positively correlated with PSA (p < 0.05) and CSE (p < 0.05), and that CSE was positively correlated with PSA (p < 0.05). Multiple linear regression analysis further indicated that gender, educational program, CSE, and PSA were independently associated with AIA after adjustment.

conclusionPositive correlations were observed among attitudes toward artificial intelligence, creative self-efficacy, and problem-solving ability in nursing interns. Educational program, gender, creative self-efficacy, and problem-solving ability were significantly associated with AI attitudes; however, these findings reflect associations rather than causal relationships.

Indexed as

AI attitudesCreative self-efficacyNursing internsProblem-solving ability

Identifiers

PMID42316140
PMCPMC13528145

What OpenQuestion holds

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Registered trials

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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.