Na Nakorn Seeda, Srisintorn Wisarut, Youravong Nattaporn
Department of Preventive Dentistry, Faculty of Dentistry, Prince of Songkla University, Hatyai, Songkhla, Thailand.
Department of Family Medicine and Preventive Medicine: FMPM, Faculty of Medicine, Prince of Songkla University, Hatyai, Songkhla, Thailand.
J Dent Sci. 2022 Oct;17(4):1656-1664. doi: 10.1016/j.jds.2022.03.001. Epub 2022 Mar 25.
BACKGROUND/PURPOSE: Physician burnout is now a public health crisis and dentist is a stressful professional health occupation. The purpose of this cross-sectional study was to determine the level of burnout and related factors among 423 Thai dentists working in public hospitals, southern Thailand.
A self-administered questionnaire was collected through an online platform and included 5 parts: general information, work information, 22-item Maslach Burnout Inventory-Human Services Survey (MBI-HSS), 23-item Thai Effort-Reward Imbalance Questionnaire (Thai ERIQ), and the Utrecht Work Engagement Scale-9 (UWES-9). The data were analyzed for descriptive statistics - frequency, percentage, mean, standard deviation - and inferential statistics using binary logistic regression.
The prevalence of medium to high level of burnout were 45.8%, 44.3%, 4.0% for emotional exhaustion, depersonalization, and low personal accomplishment, respectively. Regarding to the multivariate analysis, the statistically significant factors associated with emotional exhaustion were age, work engagement, workplace relationship, work effort, work reward, grade point average, and workplace consultant. The factors associated with depersonalization were age, work engagement, workplace relationship, work effort, and job reselection. The factors associated with personal accomplishment were age, work engagement, work reward, and level of workplace.
In this study, we identified several factors that can be modified to reduce the risk of burnout among dentists in Thailand.
背景/目的：医生职业倦怠如今已成为一场公共卫生危机，而牙医是压力较大的职业健康领域。这项横断面研究的目的是确定泰国南部公立医院工作的423名牙医的职业倦怠水平及相关因素。
通过在线平台收集一份自填式问卷，问卷包括5个部分：一般信息、工作信息、22项的马氏职业倦怠量表-人类服务调查（MBI-HSS）、23项的泰国付出-回报失衡问卷（泰国ERIQ）以及乌得勒支工作投入量表-9（UWES-9）。对数据进行描述性统计分析——频率、百分比、均值、标准差——并使用二元逻辑回归进行推断性统计分析。
情绪耗竭、去个性化和低个人成就感的中高水平职业倦怠患病率分别为45.8%、44.3%和4.0%。在多变量分析中，与情绪耗竭相关的具有统计学意义的因素包括年龄、工作投入、工作场所关系、工作努力、工作回报、平均绩点和工作场所顾问。与去个性化相关的因素包括年龄、工作投入、工作场所关系、工作努力和重新选择工作。与个人成就感相关的因素包括年龄、工作投入、工作回报和工作场所级别。
在本研究中，我们确定了几个可以改变的因素，以降低泰国牙医职业倦怠的风险。
