中华护理杂志 ›› 2023, Vol. 58 ›› Issue (13): 1615-1622.DOI: 10.3761/j.issn.0254-1769.2023.13.013

• 护理管理 • 上一篇    下一篇

临床护士自我关怀现状及潜在剖面分析

常红娟(), 解梦瑶, 陈静, 陶明芬, 张全英, 刘瑞, 李秀敏()   

  1. 430081 武汉市 武汉科技大学医学院(常红娟);新乡医学院护理学院(解梦瑶,刘瑞,李秀敏);贵州医科大学第二附属医院护理部(陈静);皖南医学院第一附属医院血液净化中心(陶明芬);新乡医学院第一附属医院护理部(张全英)
  • 收稿日期:2022-08-22 出版日期:2023-07-10 发布日期:2023-06-29
  • 通讯作者: 李秀敏,E-mail:lxm3029981@126.com
  • 作者简介:常红娟:女,博士,副教授,E-mail:changhj0812@126.com
  • 基金资助:
    河南省科技攻关软科学项目(232400410294);河南省教育科学规划重点项目(2021JKZD08)

Current situation and potential profile analysis of self-compassion behavior of clinical nurses

CHANG Hongjuan(), XIE Mengyao, CHEN Jing, TAO Mingfen, ZHANG Quanying, LIU Rui, LI Xiumin()   

  • Received:2022-08-22 Online:2023-07-10 Published:2023-06-29

摘要:

目的 探讨国内临床护士自我关怀现状,分析不同类别护士自我关怀潜在特征差异,为制订针对性的自我关怀干预方案提供参考。 方法 采用分层整群抽样法,于2022年3月选取临床一线3 779名护士作为调查对象,采用一般资料调查表、自我关怀量表、接纳与行动问卷、认知融合问卷进行调查,以自我关怀量表对护士自我关怀特征进行潜在剖面分析,并通过单因素分析、Logistic回归分析对护士自我关怀特征差异性进行检验。 结果 共纳入3 579名护士,护士自我关怀特征可分为3个类别:自我关怀不均衡组(15.90%)、自我关怀高偏下组(25.12%)、自我关怀中等组(58.98%)。自我关怀中等组与自我关怀高偏下组比较,家庭关系和谐程度越好(OR=0.812,P=0.004)、体育锻炼频率越多(OR=0.817,P<0.001)、睡眠质量越好(OR=0.751,P<0.001)和参加自我关怀培训次数越多(OR=0.874,P=0.019)的护士归入自我关怀高偏下组的概率越高,而接纳与行动问卷得分(OR=1.077,P<0.001)及认知融合问卷得分(OR=1.020,P=0.013)越高归到自我关怀中等组的概率越高;自我关怀不均衡组与自我关怀高偏下组比较,睡眠质量越好(OR=0.777,P<0.001)归入自我关怀高偏下组的概率越高,而接纳与行动问卷得分(OR=1.070,P<0.001)越高归入到自我关怀不均衡组的概率越高。 结论 临床护士自我关怀水平可分为3类,护理管理者可根据不同类型临床护士的心理特征,采取精准化的心理干预措施提高护士的自我关怀水平,进而促进护士群体的心理健康。

关键词: 护士, 自我关怀, 心理灵活性, 潜在剖面分析, 影响因素分析, 护理管理研究

Abstract:

Objective To investigate the current situation of the self-compassion of clinical nurses,and to identify the potential characteristics of different types of nurses’ self-compassion and the relationship with psychological flexibility,so as to provide a reference for the development targeted psychological intervention programs for different types of clinical nurses. Methods Convenience sampling method was adopted to select 3 779 front-line clinical nurses in China in March 2022 as the survey objects. A general data questionnaire,self-compassion scale,Acceptance and Action Questionnaire(2nd edition),and cognitive integration questionnaire were used to conduct the survey. Potential profile analysis of nurses’ self-compassion characteristics was conducted by the self-compassion scale. The relationship between self-compassion characteristics and the psychological flexibility of nurses was discussed by one-way ANOVA and Logistic regression analysis. Results A total of 3 579 nurses were included. The characteristics of nurses’ self-compassion could be divided into 3 categories,including the unbalanced self-compassion group(15.90%),the lower high self-compassion group(25.12%),and the medium self-compassion ability group(58.98%). Compared of the high self-compassion group and the medium self-compassion group,nurses who had more harmonious family relationship(OR=0.812,P=0.004),higher frequency of physical exercise(OR=0.817,P<0.001),better sleep quality(OR=0.751,P<0.001) and higher frequency of participating self-compassion training(OR=0.874,P=0.019) were more likely to be classified into the high self-compassion group,while nurses with high experiential avoidance(OR=1.077,P<0.001) and cognitive integration(OR=1.020,P=0.013) were more likely to be classified into the medium self-compassion group. Compared of the imbalance group and the lower high self-compassion group,nurses who had better sleep quality(OR=0.777,P<0.001) were more likely to be classified into the high self-compassion group,while nurses who had higher experiential avoidance(OR=1.070,P<0.001) were more likely to be classified into the imbalance group. Conclusion The self-compassion of clinical nurses can be divided into 3 categories. Nursing managers can take precise psychological interventions to improve nurses’ self-compassion ability according to the psychological characteristics of different types of nursing staff,so as to promote the overall mental health of clinical nurses.

Key words: Nurses, Self-Compassion, Psychological Flexibility, Latent Profile Analysis, Root Cause Analysis, Nursing Administration Research