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哈萨克斯坦肿瘤学家的职业倦怠。

Occupational burnout in oncologists in Kazakhstan.

机构信息

School of Public Health, al-Farabi Kazakh National University, Almaty, Kazakhstan.

Peoples' Friendship University of Russia (RUDN University), Moscow, Russian Federation.

出版信息

Occup Med (Lond). 2021 Nov 6;71(8):375-380. doi: 10.1093/occmed/kqab121.

Abstract

BACKGROUND

Although burnout levels in oncologists are likely high, its predictors remain poorly understood.

AIMS

This study was aimed to verify the prevalence of occupational burnout in oncology doctors and nurses in the major cancer centre in Kazakhstan and to elucidate its predictors to plan future prevention activities.

METHODS

In the leading tertiary-level cancer centre in Kazakhstan, we recruited 256 subjects (67% doctors and 33% nurses, 62% women, median age 37.5 [interquartile range 15] years) and offered them Maslach Burnout Inventory to quantify emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA). Demographics, fatigue, health-related quality of life with SF-8 and lifestyle were tested as predictors of burnout in multivariate logistic regression models.

RESULTS

Number of subjects with high EE was 121 (47%), high DP was 161 (63%) and high PA was 152 (59%). Fatigue, worse mental component score (MCS), being single and not exercising regularly predicted more burnout in EE. Fatigue, worse physical component score (PCS) and worse MCS predicted more burnout in DP. Finally, more burnout in PA was independently associated with fatigue, worse PCS, being married or divorced and having a university or academic degree.

CONCLUSIONS

The prevalence of occupational burnout in oncologists was high, necessitating early burnout prevention programmes, addressing, among other, fatigue reduction and regular exercise.

摘要

背景

尽管肿瘤学家的倦怠水平可能很高,但其预测因素仍知之甚少。

目的

本研究旨在验证哈萨克斯坦主要癌症中心肿瘤医生和护士的职业倦怠发生率,并阐明其预测因素,以规划未来的预防活动。

方法

在哈萨克斯坦领先的三级癌症中心,我们招募了 256 名受试者(67%为医生,33%为护士,62%为女性,中位年龄 37.5 [四分位间距 15] 岁),并为他们提供了 Maslach 倦怠量表来量化情绪衰竭(EE)、去人格化(DP)和个人成就感(PA)。在多元逻辑回归模型中,测试了人口统计学、疲劳、SF-8 健康相关生活质量和生活方式等因素作为倦怠的预测因素。

结果

有 121 名(47%)受试者 EE 水平较高,161 名(63%)受试者 DP 水平较高,152 名(59%)受试者 PA 水平较高。疲劳、心理健康评分(MCS)较差、单身且不规律运动与 EE 中更多的倦怠相关。疲劳、身体成分评分(PCS)较差和 MCS 较差与 DP 中更多的倦怠相关。最后,PA 中更多的倦怠与疲劳、PCS 较差、已婚或离婚以及拥有大学或学术学位独立相关。

结论

肿瘤学家的职业倦怠发生率很高,需要早期的倦怠预防计划,包括减轻疲劳和定期运动等措施。

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