Evidence map›Paper›PMID 42345517›Full record

ArticleJournal of nursing management2026

Head Nurse Digital Leadership and Staff Nurse-GenAI Collaboration in Chinese Hospitals: The Mediating Role of Digital Self-Efficacy and the Moderating Role of Nurse Perceived Job Autonomy.

Qian Wu

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

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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

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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

1 author.

Qian WuDepartment of Nursing, North Anhui Health Vocational College, Suzhou, Anhui, 234000, China.ORCID https://orcid.org/0009-0008-1547-6390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo examine how head nurse digital leadership is associated with staff nurse-generative artificial intelligence (GenAI) collaboration, specifically exploring the mediating role of digital self-efficacy and the moderating role of nurse perceived job autonomy.

backgroundGenAI is shifting nursing practice from solo task execution to active nurse-AI collaboration. While digital leadership is theorised to facilitate this transition, the specific mechanisms and boundary conditions, particularly in the context of Chinese tertiary hospitals, remain insufficiently explored.

methodsA time-lagged study design was employed, collecting data from 336 frontline nurses across 18 tertiary hospitals in China. The moderated mediation model was tested using PROCESS Model 4 and PROCESS Model 7 with 5000 bootstrap resamples.

resultsDigital leadership was positively associated with nurse-GenAI collaboration. Digital self-efficacy served as a critical mediator in this relationship. Furthermore, perceived job autonomy significantly moderated the relationship between digital leadership and digital self-efficacy. The indirect effect of leadership on collaboration through self-efficacy was also significant when nurses reported higher levels of job autonomy.

conclusionHead nurses who demonstrate strong digital leadership are associated with more effective GenAI collaboration, potentially by nurturing nurses' digital confidence. However, the strength of this association appears contingent upon the structural resource of job autonomy, which may afford nurses greater freedom to experiment with and integrate AI tools into clinical practice. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing leaders should move beyond top-down AI implementation towards distributed leadership models that prioritise the development of nurses' digital self-efficacy. To maximise the benefits of AI adoption, hospital administrators must foster autonomous work environments that empower nurses to act as proactive partners with technology, ultimately enhancing workflow efficiency and clinical resilience in high-workload settings.

Indexed as

Artificial IntelligenceCooperative BehaviorLeadershipNurse AdministratorsPerceptionSelf EfficacyAdultChinaFemaleHumansMaleSurveys and Questionnairesdigital leadershipdigital self-efficacyjob autonomynursenurse–GenAI collaboration

Identifiers

PMID42345517
PMCPMC13295147

What OpenQuestion holds

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LicenceCC BY
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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.