工作环境与住院医生的工作幸福感和职业倦怠。

Megan E Warner, Ali A Weinstein, Chalapathy Venkatesan, Leyla de Avila, Maansi Taori, Zobair M Younossi
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引用次数: 0

摘要

背景:医院医学是美国增长最快的专科。了解与职业倦怠和工作幸福感(WWB)相关的因素非常重要,这两者都是留住员工的预测因素:研究工作环境因素与住院医生职业倦怠和工作幸福感之间的关系:2020 年 7 月至 10 月,住院医师完成了一项在线横断面调查。使用 Mini-Z 职业倦怠量表和简易马斯拉赫职业倦怠量表评估职业倦怠。WWB 采用工作幸福感量表进行评估。工作结构变量包括每周工作时数、工作挫败感、临床工作量的安全级别、无法控制日程安排、无法控制日常工作、患者护理的连续性以及优化许可证的能力。此外,还对目前的行医意愿进行了调查:结果:共有 88 名医院医生参加了调查。工作量安全性(F(2,85) = 9.70,p = 2 = 8.167,p = .017)、工作挫败感(χ2 = 15.29,p = .005)、对日常工作的控制(χ2 = 12.48,p = .002)和行医愿望(χ2 = 7.12,p = .03)的水平之间存在统计学差异。WWB与从事医院医生工作的年限呈正相关(r = .249,p = .02)):结论:工作环境因素与 WWB 和职业倦怠有关。可改变的工作环境因素可为减少医院医生的职业倦怠和提高WWB提供一个干预点。
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The work environment and hospitalist work well-being and burnout.

Background: Hospital medicine is the largest growing specialty in the United States. It is important to understand factors that are related to burnout and work well-being (WWB), both predictors of workforce retention.

Objective: To examine the relationship between work environment factors and hospitalist burnout and WWB.

Methods: An online cross-sectional survey was completed by hospitalists in July-October 2020. Burnout was assessed using the Mini-Z burnout scale and the Abbreviated Maslach Burnout Inventory. WWB was assessed using the Work Well-Being Scale. Work structure variables included hours worked per week, frustration at work, safety level of clinical workload, lack of control over schedule, lack of control over daily work, continuity of patient care, and ability to optimize license. The current desire to practice medicine was also examined.

Results: Eight-eight hospitalists participated. There were statistically significant differences between levels of safety of workload (F(2,85) = 9.70, p = <.005), frustration at work (F(2,85) = 12.29, p = <.005), control over schedule (F(2,85) = 3.17, p = .04), control over daily work (F(2,85) = 6.17, p = .003), and desire to practice medicine (F(2,85) = 42.34, p = <.005) with WWB. There were statistically significant associations between the presence of burnout and the safety of workload (χ2 = 8.167, p = .017), frustration at work (χ2 = 15.29, p = .005), control over daily work (χ2 = 12.48, p = .002), and desire to practice medicine (χ2 = 7.12, p = .03). WWB was positively associated with years as a hospitalist (r = .249, p = .02)).

Conclusion: Work environment factors are associated with WWB and burnout. Modifiable work environment factors may offer a point of intervention for reducing burnout and enhancing WWB among hospitalists.

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