Evidence map›Paper›PMID 42175619›Full record

ArticleJournal of nursing management2026

Impact of Hospital Hierarchy on Nurses' Attitudes Toward Artificial Intelligence: Mediating Roles of Artificial Intelligence Literacy and Anxiety.

Ding Xu, Yimeng Zheng, Yongtian Yin, Cuixia Lin, Linlin Yang, Beibei Liang, Jielong Du

Abstract read
In one paragraph

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.

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

7 authors.

Ding XuSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.ORCID https://orcid.org/0009-0006-2870-1521
Yimeng ZhengSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.
Yongtian YinSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.ORCID https://orcid.org/0000-0002-6235-2867
Cuixia LinSchool of Health, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.ORCID https://orcid.org/0000-0002-9018-4127
Linlin YangJinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Beibei LiangSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.
Jielong DuSchool of Nursing, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China, sdutcm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid development of science and technology, the application of artificial intelligence in the field of healthcare is becoming increasingly widespread. As the executors and responsible persons of nursing work, nurses' understanding and attitude toward AI technology determine whether AI can be deeply integrated and successfully applied in the field of nursing.

aimsTo investigate nurses' negative and positive attitudes toward the use of artificial intelligence and influencing factors, explore the mediating effect of artificial intelligence literacy and anxiety between hospital hierarchy differences and negative and positive attitudes toward the use of artificial intelligence, and provide basis for improving nurses' attitudes toward the use of artificial intelligence.

methodsIn November 2025, the convenience sample of 436 nurses from different hospitals in Shandong Province was surveyed. Data were collected using the general information questionnaire, the attitude scale toward the use of artificial intelligence technologies in nursing, the artificial intelligence anxiety scale, and the artificial intelligence literacy scale. Multiple linear regression analyzed the influencing factors of nurses' negative and positive attitudes toward the use of artificial intelligence. Mediation analyses explored the mediating effect of artificial intelligence literacy and anxiety between the hospital hierarchy differences of nurses and their negative and positive attitudes toward the use of artificial intelligence.

resultsThe score of negative attitude was 14.55 ± 6.63, and the score of positive attitude was 38.21 ± 3.87. Artificial intelligence literacy and anxiety partially mediated the relationship between hospital hierarchy differences and the negative and positive attitudes toward the use of artificial intelligence, with the total mediating effects being 3.067 and -1.011, respectively.

conclusionHospital hierarchy differences could directly positively predict the negative and positive attitudes toward the use of artificial intelligence and could also indirectly positively predict the negative attitude toward the use of artificial intelligence through mediation by artificial intelligence literacy and anxiety and negatively predict the positive attitude toward the use of artificial intelligence. IMPLICATIONS FOR NURSING MANAGEMENT: Providing personalized artificial intelligence training based on the needs of hospitals could improve nurses' attitudes toward the use of artificial intelligence, increase their artificial intelligence literacy, and reduce their anxiety.

Indexed as

AnxietyArtificial IntelligenceAttitude of Health PersonnelNursesAdultChinaFemaleHumansMaleSurveys and Questionnairesartificial intelligence anxietyartificial intelligence literacyattitude toward the use of artificial intelligencehospital hierarchymediation effect

Identifiers

PMID42175619
PMCPMC13197620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.