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遭受护士间横向暴力的护士创伤后成长的现状及影响因素:一项横断面多中心研究

Status quo and influencing factors of posttraumatic growth of nurses exposed to nurse-to-nurse horizontal violence: a cross-sectional multicenter study.

作者信息

Liu Mengqi, Wang Zhiwei, Yan Zeping, Wei Huimin, Wang Yanhua, Wang Yue, Hu Xiaole, Luan Xiaorong

机构信息

School of Nursing and Rehabilitation, Shandong University, Jinan, Shandong Province, China.

Department of Nursing, Jining First People's Hospital, Jining, Shandong Province, China.

出版信息

BMC Nurs. 2024 Dec 20;23(1):937. doi: 10.1186/s12912-024-02609-1.

DOI:10.1186/s12912-024-02609-1
PMID:39707314
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11660454/
Abstract

BACKGROUND

Post-Traumatic Growth (PTG) relieves physical and psychological stress symptoms in nurses who exposed to nurse-to-nurse horizontal violence (HV), has great intervention potential to reverse the negative effects of HV events. Therefore, in-depth exploration of the overall characteristics of PTG in HV-exposed nurses and its influencing factors are of great practical significance to provide them with precise psychological adaptive interventions.

OBJECTIVE

This study aims to describe the current state of PTG of HV-exposed nurses and its influencing factors.

METHODS

The staged cluster sampling method used to recruit nurses. Nurses completed the Chinese version of the nurse-to-nurse Negative Acts Questionnaire (NAQ-R), the Posttraumatic Growth Inventory-Short Form (PTGI-SF), Colquitt's Organizational Justice Measure (OJM), Inclusive Leadership Scale (ILS), 10-item Connor-Davidson Resilience Scale (CD-RISC-10), Dysexecutive Questionnaire (DEX) and provided their sociodemographic characteristics. Data were collected between February, 2023 ~ March, 2024, and were analyzed using correlation analysis, t-test, ANOVA, and multivariate linear stepwise regression analyses.

RESULTS

The prevalence of HV within eight tertiary hospitals in Shandong Province amounted to 45.03%. On average, nurses scored 18.30 ± 14.33 in PTGI-SF. There were significant differences in PTGI-SF score according to departments (F = 2.589, p < 0.01), and educational background (F = 4.587, p < 0.01). The results of correlation analysis showed that there was a significant correlation between score in CD-RISC-10 (r = 0.120, p < 0.01), DEX (r=-0.069, p < 0.05), and PTGI-SF. The results of multivariate linear stepwise regression showed that resilience, dysexecutive, educational background, and type of department might be the influencing factors of PTG in HV-exposed nurses (R = 0.045).

CONCLUSIONS

Exposure to HV posed a moderate risk for nurses, while PTG levels among HV-exposed nurses were low to moderate. Overall, the current study suggests that educational background, department type, resilience, and dysexecutive were the main factors influencing PTG in HV-exposed nurses. The study found that resilience had a positive effect on PTG, while dysexecutive had a slight negative effect. Consolidation of resilience and alleviation of dysexecutive, while dialectically looking at educational background and department type, is necessary to improve PTG in HV-exposed nurses.

摘要

背景

创伤后成长(PTG)可缓解遭受护士间横向暴力(HV)的护士的身心应激症状,对逆转HV事件的负面影响具有巨大的干预潜力。因此,深入探究遭受HV的护士PTG的整体特征及其影响因素,对于为其提供精准的心理适应性干预具有重要的现实意义。

目的

本研究旨在描述遭受HV的护士PTG的现状及其影响因素。

方法

采用分层整群抽样法招募护士。护士完成中文版护士间负面行为问卷(NAQ-R)、创伤后成长问卷简版(PTGI-SF)、科尔奎特组织公正量表(OJM)、包容性领导量表(ILS)、10项康纳-戴维森韧性量表(CD-RISC-10)、执行功能障碍问卷(DEX),并提供其社会人口学特征。数据收集于2023年2月至2024年3月,采用相关性分析、t检验、方差分析和多元线性逐步回归分析进行分析。

结果

山东省8家三级医院中HV的发生率为45.03%。护士在PTGI-SF上的平均得分为18.30±14.33。PTGI-SF得分在科室(F=2.589,p<0.01)和学历(F=4.587,p<0.01)方面存在显著差异。相关性分析结果显示,CD-RISC-10得分(r=0.120,p<0.01)、DEX得分(r=-0.069,p<0.05)与PTGI-SF得分之间存在显著相关性。多元线性逐步回归结果显示,韧性、执行功能障碍、学历和科室类型可能是遭受HV的护士PTG的影响因素(R=0.045)。

结论

遭受HV给护士带来了中度风险,而遭受HV的护士的PTG水平为低到中度。总体而言,当前研究表明学历、科室类型状态、韧性和执行功能障碍是影响遭受HV的护士PTG的主要因素。研究发现韧性对PTG有积极影响,而执行功能障碍有轻微负面影响。巩固韧性并缓解执行功能障碍,同时辩证看待学历和科室类型,对于提高遭受HV的护士的PTG是必要的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727e/11660454/394538189f4a/12912_2024_2609_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727e/11660454/aef1a7003e22/12912_2024_2609_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727e/11660454/394538189f4a/12912_2024_2609_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727e/11660454/aef1a7003e22/12912_2024_2609_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/727e/11660454/394538189f4a/12912_2024_2609_Fig2_HTML.jpg

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