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护士职业倦怠的危险因素:一项调查研究。

The risk factors for burnout among nurses: An investigation study.

机构信息

Nursing Department, Wuhan University of Science and Technology Affiliated Tianyou Hospital, Wuhan, China.

Hemodialysis Center, Taikang Tongji (Wuhan) Hospital, Wuhan, China.

出版信息

Medicine (Baltimore). 2024 Aug 23;103(34):e39320. doi: 10.1097/MD.0000000000039320.

Abstract

The objective of this investigation study is to examine the levels of burnout and work engagement among nurses working on the front lines of the COVID-19 pandemic. Additionally, we aim to analyze the risk factors associated with nurse burnout. This investigation study included a sample of 1764 registered nurses from 6 tertiary comprehensive hospitals in Wuhan. A total of 1800 questionnaires were distributed via email between January 2021 and July 2021, and 1764 completed questionnaires were returned. Nurses who had been on the front lines of the COVID-19 fight for more than six months were included in the study. The Maslach Burnout Inventory-General Survey (MBI-GS) scale was utilized to assess burnout levels among all nurses. Work engagement was measured using the Utrecht Work Engagement Scale (UWES). The general health of the nurses was evaluated using the General Health Questionnaire-12 (GHQ-12) score. Demographic and clinical data, including age, sex, hospital, department, education, years of experience, daily overtime, weekly rest time, number of night shifts per month, smoking or drinking habits, marital status, etc, were also collected. Statistical analyses were performed using SPSS 25.0. The GHQ-12 scores in the FC group were significantly higher than those in the non-frontline COVID-19 (NFC) group. Compared to the average value of the 2 groups, we found that the dimension 2 average value of UWES in NFC group (3.52 ± 1.07) were remarkably higher than that in FC group (3.40 ± 1.08, P < .05). Furthermore, the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. Spearman rank correlation showed that negative correlation among the average value of each dimension and the overall average values between MBI-GS and UWES. Logistic regression analysis showed that daily Overtime, fight against COVID-19, GHQ-12 score and dimension 2 of UWES were the risk factors for nurse burnout. In summary, this study showed that the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. This study may provide some basis for addressing nurse burnout.

摘要

本研究旨在调查奋战在新冠肺炎疫情一线护士的 burnout 和工作投入水平,并分析护士 burnout 的相关风险因素。本研究选取了武汉市 6 家三甲综合医院的 1764 名注册护士作为研究对象。2021 年 1 月至 7 月,通过电子邮件发放问卷 1800 份,回收有效问卷 1764 份。纳入标准为:参与新冠肺炎一线抗疫工作时间超过 6 个月的护士。采用 Maslach 职业倦怠量表(MBI-GS)评估护士 burnout 水平,采用 Utrecht 工作投入量表(UWES)测量工作投入,采用一般健康问卷-12(GHQ-12)评估护士一般健康状况。收集护士的人口学和临床资料,包括年龄、性别、医院、科室、教育程度、工作年限、日加班时间、周休息时间、月夜班数、吸烟饮酒史、婚姻状况等。采用 SPSS 25.0 进行统计学分析。FC 组的 GHQ-12 评分显著高于非一线 COVID-19(NFC)组。与 2 组的平均值相比,我们发现 NFC 组 UWES 的维度 2 平均值(3.52±1.07)显著高于 FC 组(3.40±1.08,P<.05)。此外,NFC 组 MBI-GS 的维度 1(情感耗竭)和维度 2(去人性化)的平均值显著低于 FC 组。Spearman 秩相关分析显示,MBI-GS 和 UWES 的各维度平均值和总体平均值之间存在负相关。Logistic 回归分析显示,日加班、抗击新冠肺炎、GHQ-12 评分和 UWES 的维度 2 是护士 burnout 的危险因素。总之,本研究表明,NFC 组 MBI-GS 的维度 1(情感耗竭)和维度 2(去人性化)的平均值显著低于 FC 组。本研究可能为解决护士 burnout 提供一定依据。

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