Latent Profile Analysis and Influencing Factors of Clinical Nurses’ Evidence‐Based Practice Implementation: A Cross‐Sectional Study

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Authors: Yilin Chen, Yi-Xiang Wang, Y Zhang, Xiuzhu Cao, Linfang Zhao
Cited by: 1
References: 23

Abstract

AIM: The purpose of this study was to investigate the current status and potential profiles of clinical nurses' implementation of evidence-based practices (EBPs), explore influencing factors across different profiles, and provide a basis for developing strategies to enhance clinical nurses' EBP competence. DESIGN: A cross-sectional study. METHODS: From January to March 2025, a convenience sampling method was used to select 289 clinical nurses from 24 provinces across China. A survey was conducted using a demographic questionnaire and the three EBP scales-short version to assess implementation. Latent profile analysis identified distinct latent profiles of EBP implementation among Chinese clinical nurses, and multivariate logistic regression examined the factors influencing profile membership. RESULTS: The results revealed three latent profiles of EBP implementation among clinical nurses: low participation type (15%), moderate participation type (27%), and high participation type (58%). Multivariate logistic regression analysis indicated that EBP beliefs, EBP organizational culture, and readiness were the primary influencing factors of EBP implementation. CONCLUSION: This study demonstrates that Chinese clinical nurses generally exhibit positive engagement in EBP implementation. EBP beliefs, EBP organizational culture, and readiness are key factors influencing implementation. Efforts should focus on fostering EBP beliefs while simultaneously providing a supportive implementation environment to ensure sustainable EBP.

Fields of Study & Subjects

Health Sciences Research and Education Health Policy Implementation Science Meta-analysis and systematic reviews

Publication details

Journal / source
Journal of Nursing Management
Publisher
Wiley
Volume
2026
Issue
1
Pages
e8783451–e8783451
Publication date
1 January 2026
Language
EN