Predictors of burnout among resident doctors in a Nigerian teaching hospital

尼日利亚某教学医院住院医师职业倦怠的预测因素

阅读:2

Abstract

BACKGROUND: Burnout is a psychological syndrome resulting from exposure to chronic work-related stress. There are, however, a few works of literature on burnout among trainee doctors in Nigeria. AIM: To determine the prevalence of burnout and its predictors among resident doctors across 16 medical specialties and/or subspecialties. SETTING: The University of Ilorin Teaching Hospital (UITH), Ilorin, Nigeria. METHODS: A cross-sectional study was conducted among 176 resident doctors between October 2020 and January 2021. The survey included the Proforma and Maslach Burnout Inventory-Human Services Survey for Medical Personnel (MBI-HSS MP). RESULTS: The mean age of participants was 35.10 (SD 4.07) years. The prevalence of burnout was 21.6% for high emotional exhaustion (EE), 13.6% for high depersonalization (DP), and 30.7% for low personal accomplishment (PA). Being a younger resident doctor aged 31-35 (OR = 3.715, 95% CI [1.270 - 10.871]) was the only significant predictor for the EE. Predictors of DP included the age group 31-35 years (OR = 7.143, 95% CI [2.297 - 22.216]), duty hours >50 hours per week (OR = 2.984, 95% CI [1.203 - 7.401]), and presence of work-related stress (OR = 3.701, 95% CI [1.315 - 10.421]). A good relationship with colleagues negatively predicted low PA (OR = 0.221, 95% CI [0.086 - 0.572]). CONCLUSION: High levels of burnout are prevalent among resident doctors, comparable to international studies. Therefore, the government and other relevant stakeholders must drive legislation and formulate policies toward addressing the work-related factors associated with burnout in the Nigerian healthcare industry. CONTRIBUTION: This study highlighted the determinants of burnout among Nigerian resident doctors, which necessitates targeted interventions to address them.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。