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Extending Our Understanding of Burnout and Its Associated Factors: Providers and Staff in Primary Care Clinics

机译:扩展我们对职业倦怠及其相关因素的理解:基层医疗诊所的提供者和员工

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Burnout has been identified as an occupational hazard in the helping professions for many years and is often overlooked, as health-care systems strive to improve cost and quality. The Maslach Burnout Inventory (MBI) and the Areas of Worklife Survey (AWS) are tools for assessing burnout prevalence and its associated factors. We describe how we used them in outpatient clinics to assess burnout for multiple job types. Traditional statistical techniques and seemingly unrelated regression were used to describe the sample and evaluate the association between work life domains and burnout. Of 838 eligible participants, 467 (55.7%) were included for analysis. Burnout prevalence varied across three job categories: providers (37.5%), clinical assistants (24.6%), and other staff (28.0%). It was not related to age, gender, or years of tenure but was lower in part-time workers (24.6%) than in full-time workers (33.9%). Analysis of the AWS subscales identified organizational correlates of burnout. Accurately identifying and defining the operative system factors associated with burnout will make it possible to create successful interventions. Using the MBI and the AWS together can highlight the relationship between system work experiences and burnout.
机译:多年以来,倦怠一直被认为是帮助行业中的一种职业危害,随着医疗保健系统努力提高成本和质量,常常被忽视。 Maslach倦怠量表(MBI)和工作寿命调查区域(AWS)是评估倦怠发生率及其相关因素的工具。我们描述了我们如何在门诊诊所使用它们来评估多种工作类型的倦怠。传统的统计技术和看似无关的回归被用来描述样本并评估工作生活领域和倦怠之间的关联。在838名合格参与者中,有467名(55.7%)被纳入分析。倦怠发生率在以下三个工作类别中有所不同:提供者(37.5%),临床助理(24.6%)和其他工作人员(28.0%)。它与年龄,性别或任期无关,但在非全日制工人中占24.6%,低于全日制工人中占33.9%。对AWS分量表的分析确定了倦怠的组织相关性。准确地识别和定义与倦怠相关的操作系统因素将使成功的干预成为可能。一起使用MBI和AWS可以突出系统工作经验和倦怠之间的关系。

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