Associations between Psychosocial Work Environment Factors with Work Engagement and Burnout in Nursing

Arūnas Žiedelis
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引用次数: 1

Abstract

The psychosocial work environment (i.e., job demands and resources) is a significant determinant of nurses’ health and motivation; yet, despite the close associations between specific work environment factors, various frameworks suggest different aspects as the most important among the rest. Having in mind the assumption that a more abstract level of analysis might be equally relevant for understanding the work environment and predicting significant outcomes, the aim of this study was to discern the latent factors of nursing work environment and to evaluate their significance in predicting nurses’ work engagement and exhaustion. Two hundred eleven nurses participated in a two-wave time-lagged survey (ΔT = 8 months). In this survey, 1 Expanded Nursing Stress Scale and several subscales of the Work Design Questionnaire were used to measure main job demands and resources in nursing. At that time, 2 participants were asked to fill out an Utrecht Work Engagement Scale and Copenhagen Burnout Inventory. Exploratory factor analysis (EFA) and hierarchical regression analysis were used for analyzing the data. The EFA results revealed that two factors can be discerned, each related to main job demands and resources accordingly. Based on these results, the aggregated indexes of job demands and resources were calculated. A linear regression analysis showed that these indexes predicted nurses’ work engagement and exhaustion no worse than specific factors, despite the loss of variance due to aggregation. Practical implications of such conclusions are also discussed in the article.
心理社会工作环境因素与护理人员工作投入和职业倦怠的关系
心理社会工作环境(即工作需求和资源)是护士健康和动机的重要决定因素;然而,尽管具体的工作环境因素之间有着密切的联系,但各种框架表明,在其他因素中,最重要的是不同的方面。考虑到更抽象的分析水平可能与理解工作环境和预测重要结果同样相关的假设,本研究的目的是识别护理工作环境的潜在因素,并评估其在预测护士工作投入和疲惫方面的意义。211名护士参加了两波滞后调查(ΔT = 8个月)。本调查采用《护理压力扩展量表》和《工作设计问卷》的几个子量表对护理工作的主要工作需求和资源进行测量。当时,两名参与者被要求填写乌得勒支工作投入量表和哥本哈根倦怠量表。采用探索性因子分析(EFA)和层次回归分析对数据进行分析。全民教育结果显示,可以识别两个因素,每个因素都与主要工作需求和相应的资源有关。在此基础上,计算了岗位需求和资源的综合指标。线性回归分析显示,这些指标对护士工作敬业度和工作倦怠的预测效果并不差于具体因素,但由于汇总导致方差丢失。本文还讨论了这些结论的实际含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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24 weeks
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