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 (3): 380-385.doi: 10.3969/j.issn.1672-1756.2025.03.012

• 人力资源 • 上一篇    下一篇

河南省专科护士工作旺盛感的潜在剖面分析及影响因素研究

孙枭雄 张红梅 王海播 房紫如 薛慧娟 王敬之   

  1. 郑州大学护理与健康学院,450001 郑州市(孙枭雄,房紫如,薛慧娟);河南省人民医院护理部(张红梅);呼吸与危重症医学科(王海播);河南大学护理与健康学院(王敬之)
  • 出版日期:2025-03-15 发布日期:2025-03-15
  • 通讯作者: 王海播,硕士,副主任护师,护士长,E-mail:haiboqwzx815815@163.com
  • 作者简介:孙枭雄,硕士在读
  • 基金资助:
    河南省护理医学重点实验室2022年度开放课题(HNSYHLKT202207);河南省中医药科学研究专项课题(20-21ZY2305)

Latent profile analysis and influencing factors of thriving at work among specialist nurses in Henan province

SUN Xiaoxiong, ZHANG Hongmei, WANG Haibo, FANG Ziru, XUE Huijuan, WANG Jingzhi   

  1. School of Nursing and Health, Zhengzhou University, Zhengzhou, 450001, China
  • Online:2025-03-15 Published:2025-03-15
  • Contact: E-mail:haiboqwzx815815@163.com

摘要: 目的:分析专科护士工作旺盛感的异质性和影响因素,为提高专科护士工作旺盛感提供参考。方法:采用便利抽样法,于2023年6月—8月对河南省30家不同等级医院共758名专科护士进行问卷调查。对工作旺盛感量表得分进行潜在剖面分析,并通过无序多分类Logistic回归分析研究工作旺盛感不同潜在类别的影响因素。结果:专科护士工作旺盛感可分为4个潜在类别,包括高工作旺盛感组(27.8%)、中学习力低活力组(20.8%)、广泛中等旺盛感组(35.6%)、低工作旺盛感组(15.8%)。无序多分类Logistic回归分析结果显示,组织支持感、工作任务负荷、心理弹性、年龄、子女数量、医院等级、工作年限及月收入水平是工作旺盛感不同潜在类别的影响因素(P<0.05)。结论:专科护士工作旺盛感特征存在异质性,护理管理者可根据专科护士的不同工作旺盛感特征及其影响因素,采取有针对性的措施,以提高专科护士的工作旺盛感和护理服务质量。

关键词: 专科护士;工作旺盛感;潜在剖面分析;影响因素

Abstract: Objective: To explore the heterogeneity and influencing factors of thriving at work among specialist nurses, providing references for nursing managers to take measures to improve the thriving at work of specialist nurses. Methods: A questionnaire survey was conducted from June to August 2023, including 758 specialist nurses from 30 hospitals of varying levels in Henan province. The latent profile analysis was used to explore the characteristics of thriving at work among specialist nurses, and univariate analysis and unordered multinomial Logistic regression analysis were used to investigate the influencing factors of different latent profiles. Results: Thriving at work among specialist nurses was divided into 4 latent profiles, including a high thriving at work group (27.8%), a moderate learning low vitality group (20.8%), a broadly moderate thriving at work group (35.6%), and a low thriving at work group (15.8%). Unordered multinomial Logistic regression analysis showed that organizational support score, task load score, resilience score, age, number of children, hospital grade, years of work experience, and monthly income level were influencing factors of the latent profiles of thriving at work (all P<0.05). Conclusion: There is heterogeneity in the characteristics of thriving at work among specialist nurses. Nursing managers can take targeted measures based on the different thriving at work characteristics and influencing factors of specialist nurses to improve their thriving at work and the quality of nursing services.

Key words: specialist nurse; thriving at work; latent profile analysis; influencing factor

中图分类号:  R47;R197