Evidence map›Paper›PMID 41938970›Full record

ArticleFrontiers in public health2026

Classifying nursing roles in critical infectious disease care: a multicenter cross-sectional study using cluster analysis.

Xiao Dang, Lijingzi Wang, Shuyao Wang, Pei Li, Wen Kang

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiao Dang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Lijingzi Wang *Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Shuyao WangDepartment of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Pei LiDepartment of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Wen KangDepartment of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To classify nursing roles in the care of critically ill patients with infectious diseases based on clinical practice patterns and nurse characteristics, and to describe the features of each role type to provide empirical evidence for optimising human resource allocation and enhancing care efficiency. Design: A multicenter cross-sectional survey study. Methods: Between February and March 2025, 275 nurses providing direct care to critically ill patients with infectious diseases were recruited from multiple tertiary hospitals across diverse geographic regions. Data were collected using a self-developed, semi-structured interview-informed questionnaire assessing the frequency of 80 specific nursing activities, alongside demographic and workload information. Hierarchical cluster analysis followed by K-means clustering was applied to identify latent nursing role types. The differences of each type were further compared by univariate analysis and multiple logistic regression analysis. Results: Three core domains of nursing practice were identified: clinical nursing care, advanced clinical specialty skills, and nursing management/professional development. Accordingly, three distinct nursing role types: Comprehensive Development Type -high engagement across all domains; Management and Coordination Type -primarily focused on administrative and coordination tasks with minimal direct patient care; and Clinical Task Execution Type-predominantly delivering routine basic care with limited involvement in advanced or managerial activities. These types differed significantly in age, professional experience, formal position, weekly workload, and intention to leave the role. Multiple regression analysis showed that traditional variables such as age and professional title had no significant independent predictive effect on distinguishing comprehensive development type from clinical task execution type; Age is the qualification threshold of management coordination. Conclusion: Nursing roles in critical infectious diseases care form an informal but functionally stratified hierarchy shaped by career progression and organisational demands, yet lack formal recognition. This empirically derived typology supports precision-based staffing, role clarification, and targeted retention strategies. Aligning job expectations with actual practice can reduce burnout-particularly among early-career nurses performing high-volume basic tasks-and strengthen team resilience during public health emergencies. Findings inform the development of flexible, evidence-based role frameworks that enhance both workforce sustainability and patient safety.

Indexed as

Communicable DiseasesCritical IllnessNurse's RoleNursing Staff, HospitalAdultCluster AnalysisClustering AlgorithmsCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairescluster analysisinfectious diseases carejob contentnursing managementnursing roles

Identifiers

PMID41938970
PMCPMC13047093

What OpenQuestion holds

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LicenceCC BY
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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.