Evidence map›Paper›PMID 41540475›Full record

ArticleBMC nursing2026

Attitudes of psychiatric nurses towards the integration of artificial intelligence applications to clinical care: a qualitative study in China.

Jiangtao Dong, Xin Chen, Chuanwu Lyu, Mingyue Wu, Chengfei Ruan, Fang Yan, Dongjun Zhang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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.

Jiangtao Dong *School of Nursing, Henan Medical University, Xinxiang, 453003, China.
Xin Chen *School of Nursing, Henan Medical University, Xinxiang, 453003, China.
Chuanwu LyuSchool of Nursing, Henan Medical University, Xinxiang, 453003, China.
Mingyue WuSchool of Psychology, Henan Medical University, Xinxiang, 453003, China.
Chengfei RuanSchool of Psychology, Henan Medical University, Xinxiang, 453003, China.
Fang Yan *Xinxiang Mental Rehabilitan Key Laboratory, Henantio Collaborative Innovation Center of Prevention and Treatment of Mental Disorder, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, China. yf9666@126.com.
Dongjun Zhang *School of Psychology, Henan Medical University, Xinxiang, 453003, China. dongjun0103@126.com.

Funding

Henan Province Higher Education Teaching Reform Research and Practice Project 2023SJGLX235YHenan Provincial Project of Philosophy and Social Sciences for Building an Education-Strong Province 2025JYQS0289
6 · The paper itself

Abstract

backgroundThe application of artificial intelligence in mental health faces unique challenges. Psychiatric nurses provide direct care to patients with mental illness, and their attitudes toward artificial intelligence will directly impact the effectiveness of related technologies in clinical practice.This study aims to explore psychiatric nurses' attitudes toward artificial intelligence applications, identify their needs and expectations, and assess their awareness of potential risks and challenges.

methodsThis qualitative descriptive study employed semi-structured in-depth interviews with 15 psychiatric nurses (each with at least two years of clinical experience) recruited from Henan Mental Health Center. Interview transcripts were coded independently by two researchers and analyzed using inductive thematic analysis with NVivo 12.0; any coding discrepancies were resolved through consensus.

resultsThematic analysis revealed three core themes: Core needs and expectations, Key risks and challenges, and Implementation pathways and policy aspirations. For example, nurses anticipated that AI could alleviate their workload and improve patient safety, but they also voiced concerns about data privacy and the preservation of humanistic care.

conclusionsPsychiatric nurses generally adopt a positive yet cautious stance toward clinical artificial intelligence applications. While they anticipate artificial intelligence to enhance nursing efficiency and patient safety, significant concerns exist regarding ethical issues, compromised humanistic care, and professional role displacement triggered by artificial intelligence.

Indexed as

Artificial intelligenceAttitudesPsychiatric nursingQualitative study

Identifiers

PMID41540475
PMCPMC12892760

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