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 ›› 2025, Vol. 25 ›› Issue (8): 1235-1240.doi: 10.3969/j.issn.1672-1756.2025.08.021

• 人力资源 • 上一篇    下一篇

济宁市5家三级综合医院护士创新行为的潜在剖面分析

刘洪梅 李晴 时忠丽 高淑红 李玉翠 杨学荣   

  1. 济宁市第一人民医院护理部,272100 山东省济宁市(刘洪梅,高淑红,李玉翠);心内科(李晴);乳甲外科(杨学荣);济宁医学院护理学院精神与心理护理学教研室(时忠丽)
  • 出版日期:2025-08-15 发布日期:2025-08-15
  • 通讯作者: 李晴,硕士,主管护师,护士长,E-mail:liqingky2009@sina.com
  • 作者简介:刘洪梅,硕士在读,主管护师,护士长
  • 基金资助:
    2023年度济宁市重点研发计划(软科学项目)(2023JNZC093)

Latent profile analysis of nurses' innovative behavior in 5 tertiary general hospitals in Jining city

LIU Hongmei, LI Qing, SHI Zhongli, GAO Shuhong, LI Yucui, YANG Xuerong   

  1. Nursing Department, Jining No.1 People's Hospital, Jining, Shandong province, 272100, China
  • Online:2025-08-15 Published:2025-08-15
  • Contact: E-mail:liqingky2009@sina.com

摘要: 目的:分析护士创新行为潜在类别及特征现状,探讨不同类别创新行为的影响因素,以期为护理管理者采取有效激发护士创新行为的措施提供依据。方法:采用方便取样法,于2023年11月—12月选取济宁市5家三级综合医院的1 050名护士作为调查对象,采用一般资料调查表、护士创新行为量表、悖论式领导行为量表、心理授权量表进行问卷调查。采用潜在剖面分析对护士创新行为的潜在类别进行划分,通过单因素分析和多元Logistic回归分析探索各类别的影响因素。结果:护士创新行为得分为(33.12±6.62)分,可分为高创意-积极型(28.86%)、低支持-消极型(16.38%)、中等水平型(54.76%)3个潜在剖面。Logistic回归分析结果显示,年龄、职称、心理授权和悖论式领导是护士创新行为潜在类别的影响因素。结论:护士创新行为水平存在个体异质性,护理管理者可根据不同潜在类别的影响因素对护士进行分类管理,针对性实施干预措施,以提高护士创新行为水平。

关键词: 创新行为;潜在剖面分析;悖论式领导;心理授权

Abstract: Objective: To analyze the latent categories and characteristics of clinical nurses' innovative behaviors and explore the influencing factors of these categories, thereby providing a basis for nursing managers to take interventions to stimulate nurses' innovative behaviors. Methods: Using a convenience sampling method, 1050 nurses from five tertiary general hospitals in Jining city were selected as survey participants from November to December 2023. A questionnaire survey was conducted using General Information Survey, Nurse Innovative Behavior Scale, Paradoxical Leader Behavior Scale, and Psychological Empowerment Scale. Then latent profile analysis was adopted to determine the potential categories of nurses' innovative behaviors, and univariate analysis and Logistic regression analysis were used to identify the influencing factors of the latent categories. Results: The score for nurses' innovative behaviors was 33.12±6.62. Nurses' innovative behaviors could be divided into three latent profiles: high creativity-positive (28.86%), low support-negative (16.38%), and moderate level (54.76%). Logistic regression analysis and model fitting results consistently showed that age, job title, psychological empowerment, and paradoxical leadership were influencing factors of the latent classes of nurses' innovative behaviors. Conclusion: Though individual heterogeneity exists when analyzing nurses' innovative behaviors, nursing managers can classify nurses based on the influencing factors of different latent classes of innovative behaviors to implement targeted interventions to improve their innovative behaviors.

Key words: innovative behavior; latent profile analysis; paradoxical leadership; psychological empowerment

中图分类号:  R47;R197