主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2026, Vol. 26 ›› Issue (1): 112-117.doi: 10.3969/j.issn.1672-1756.2026.01.022

• 人力资源 • 上一篇    下一篇

山东省5家三级甲等医院护士循证决策能力的潜在剖面分析

王硕 房晓杰 乔娟 崔娇 曾庆蕾 魏玉莲   

  1. 淄博市中心医院急诊医学科,255090 山东省淄博市(王硕,崔娇);护理部(房晓杰,乔娟,魏玉莲);重症医学科(曾庆蕾)
  • 出版日期:2026-01-15 发布日期:2026-01-15
  • 通讯作者: 魏玉莲,硕士,副主任护师,护理部副主任,E-mail:weiyulian.cool@163.com
  • 作者简介:王硕,硕士,主管护师
  • 基金资助:
    山东省卫生健康委员会2025年度卫生健康人力资源管理研究课题(2025RLZY051)

Latent profile analysis of evidence-informed decision-making competence among nurses in five tertiary grade A hospitals in Shandong province

WANG Shuo, FANG Xiaojie, QIAO Juan, CUI Jiao, ZENG Qinglei, WEI Yulian   

  1. Emergency Department, Zibo Central Hospital, Zibo, Shandong province, 255090, China
  • Online:2026-01-15 Published:2026-01-15
  • Contact: E-mail:weiyulian.cool@163.com

摘要: 目的:分析三级甲等医院护士循证决策能力的现状及类别特征,并探究其影响因素,以期为提高护士循证决策能力提供参考。方法:2025年3月—4月,便利选取山东省5家三级甲等医院1 403名护士作为研究对象,采用一般资料调查表、护士循证决策能力量表、反思性实践问卷、护理研究自我效能量表进行问卷调查。运用潜在剖面分析建立潜在类别模型,采用无序多分类Logistic回归分析探讨护士循证决策能力不同剖面类别的影响因素。结果:护士循证决策能力得分为(112.77±17.12)分,可分为萌芽型(20.0%)、成长型(52.2%)、整合实践型(27.8%)3个潜在剖面。无序多分类Logistic回归分析结果显示,受教育程度、工作年限、每年参加科研讲座或科研会议的次数以及反思性实践水平、护理研究自我效能是护士循证决策能力的影响因素(均P<0.05)。结论:护士循证决策能力处于中等偏上水平且存在异质性,护理管理者应根据不同潜在剖面的影响因素对护士进行干预和支持,以提高其循证决策能力。

关键词: 护士;循证决策能力;潜在剖面分析;影响因素

Abstract: Objective: To analyze the status and category characteristics of evidence-informed decision-making competence among nurses in tertiary grade A hospitals, and explore its influencing factors, so as to provide a reference for improving nurses' evidence-informed decision-making competence. Methods: Using convenience sampling, a questionnaire survey was conducted on 1403 nurses from 5 tertiary grade A hospitals in Shandong province from March to April 2025. The General Information Questionnaire, the Evidence-Informed Decision-Making competence measure for nurses, the Reflective Practice Questionnaire and the Nursing Research Self-Efficacy Scale were used to investigate. Latent profile analysis was adopted to establish a latent category model, and unordered multinomial Logistic regression was used to identify the influencing factors of nurses' evidence-informed decision-making competence in different profile categories. Results: The score for nurses' evidence-informed decision-making competence was 112.77±17.12. Nurses' evidence-informed decision-making competence could be divided into 3 latent profiles: budding type (20.0%), growing type (52.2%), and integrated practice type (27.8%). Unordered multinomial Logistic regression analysis results showed that education level, years of service, number of academic lectures or conferences attended annually, reflective practice level and nursing research self-efficacy were the influencing factors of nurses' evidence-informed decision-making competence (all P<0.05). Conclusion: The evidence-informed decision-making competence of nurses is at moderately high level with heterogeneity. Nursing managers should intervene and support nurses based on the influencing factors of different latent profiles, so as to improve their evidence-informed decision-making competence.

Key words: nurse; evidence-informed decision-making competence; latent profile analysis; influencing factor

中图分类号:  R47;R197