Department of Health Services Management, School of Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Deputy of Health Affairs, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Int J Environ Res Public Health. 2019 Jun 25;16(12):2249. doi: 10.3390/ijerph16122249.
Burnout, which is an emerging challenge in health systems, is very common among primary health care (PHC) workers. The aim of this study was to investigate the level of burnout among PHC workers, and its predictive factors, in a region in the west of Iran.In this cross-sectional study, all the health network staff ( = 539) were enrolled. The data collection instrument was the Maslach Burnout Inventory (MBI), which consists of 22 items and the three subscales of emotional exhaustion (EE), depersonalization (DP), and personal achievement (PA). High scores in EE and DP and low scores in PA are indicative of high burnout. Logistic regression was used to determine the predictors of high burnout. The data were analyzed using SPSS version 16. The findings showed that 90.5% of the staff had high DP, 55.3% had high EE, and 98.9% had low PA scores. Also, 52.9% (277 people) of the staff suffered from high burnout. Single people (OR = 3.33), less experienced employees (OR = 9.09), people aged over 35 years (OR = 2.35), physicians (OR = 1.72), and staff with permanent employment (OR = 5.0) were more likely to suffer high levels of burnout. We conclude that burnout is a common problem in PHC workers. Less experienced, younger, single employees and physicians were more at risk of suffering from high burnout. Preventive measures, such as strengthening social skills, communication competencies, and coping strategies, and reduction of risk factors such as job stress, are suggested for reducing employees' risk of burnout.
burnout 是卫生系统中出现的一个新兴挑战,在初级保健 (PHC) 工作者中非常普遍。本研究旨在调查伊朗西部某地区 PHC 工作者的 burnout 水平及其预测因素。
在这项横断面研究中,纳入了所有卫生网络工作人员(=539 人)。数据收集工具是 Maslach 倦怠量表 (MBI),它由 22 个项目和情绪衰竭 (EE)、去人格化 (DP) 和个人成就感 (PA) 三个分量表组成。EE 和 DP 得分高、PA 得分低表明 burnout 程度高。逻辑回归用于确定高 burnout 的预测因素。使用 SPSS 版本 16 对数据进行分析。结果显示,90.5%的工作人员 DP 得分高,55.3%的工作人员 EE 得分高,98.9%的工作人员 PA 得分低。此外,52.9%(277 人)的工作人员患有高 burnout。单身人士(OR=3.33)、经验较少的员工(OR=9.09)、年龄超过 35 岁的员工(OR=2.35)、医生(OR=1.72)和有固定雇佣关系的员工(OR=5.0)更有可能患有高水平的 burnout。
综上所述,burnout 是 PHC 工作者中普遍存在的问题。经验较少、年龄较小、单身的员工和医生更容易遭受高 burnout。建议采取预防措施,如加强社交技能、沟通能力和应对策略,并减少工作压力等危险因素,以降低员工 burnout 的风险。