The Prevalence and Predictors of Burnout Among Resident Doctors in Enugu State, South East Nigeria: A Mixed Method Study.

Pub Date : 2024-09-01 Epub Date: 2024-09-30 DOI:10.4103/njcp.njcp_164_24
T A Okeke, C W Kassy, O H Chime, I J Ogugua, E N Shu
{"title":"The Prevalence and Predictors of Burnout Among Resident Doctors in Enugu State, South East Nigeria: A Mixed Method Study.","authors":"T A Okeke, C W Kassy, O H Chime, I J Ogugua, E N Shu","doi":"10.4103/njcp.njcp_164_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Burnout in the health care industry is a potential hazard that has reached epidemic proportions mostly among doctors in practice and training. Burnout has enormous consequences on doctors, patients, and health care institutions.</p><p><strong>Aim: </strong>This study aimed to determine the prevalence and predictors of burnout among resident doctors in Enugu State, Nigeria.</p><p><strong>Methods: </strong>This was a mixed-method study of 420 resident doctors in tertiary hospitals in Enugu State, Nigeria. Data were collected using Oldenburg Burnout Inventory and in-depth interviews of chief resident doctors of selected departments. Data were analyzed using IBM statistical package 23.0 and Nvivo 11. Test of significance was set at 0.05.</p><p><strong>Results: </strong>The mean age of participants was 34.11 ± 5.08 years. The prevalence of burnout groups among resident doctors was 84.3% in the burnout group, 4.8% in the disengagement group, 6.9% in the exhaustion group, and 4.0% in the non-burnout group. Gender (OR = 1.861, C.I = 1.079-3.212), duration of training (OR = 1.740, C.I = 1.008-3.005), and working hours (OR = 2.982, C.I = 1.621-5.487) were the predictors of burnout; only working hours (OR = 0.279, C.I = 0.091-0.0862) was the predictor of disengagement; and gender (OR = 0.248, C.I = 0.107-0.579) was the predictor of exhaustion. Heavy workloads, long working hours, migration, poor working environment, job insecurity, poor remuneration, and management style were identified factors of burnout.</p><p><strong>Conclusion: </strong>There was high prevalence of burnout among resident doctors, predicted by gender, duration of training, and working hours. Interventions are needed to reduce burnout, prevent the \"brain drain\", and improve resident doctors' overall well-being.</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/njcp.njcp_164_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/30 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Burnout in the health care industry is a potential hazard that has reached epidemic proportions mostly among doctors in practice and training. Burnout has enormous consequences on doctors, patients, and health care institutions.

Aim: This study aimed to determine the prevalence and predictors of burnout among resident doctors in Enugu State, Nigeria.

Methods: This was a mixed-method study of 420 resident doctors in tertiary hospitals in Enugu State, Nigeria. Data were collected using Oldenburg Burnout Inventory and in-depth interviews of chief resident doctors of selected departments. Data were analyzed using IBM statistical package 23.0 and Nvivo 11. Test of significance was set at 0.05.

Results: The mean age of participants was 34.11 ± 5.08 years. The prevalence of burnout groups among resident doctors was 84.3% in the burnout group, 4.8% in the disengagement group, 6.9% in the exhaustion group, and 4.0% in the non-burnout group. Gender (OR = 1.861, C.I = 1.079-3.212), duration of training (OR = 1.740, C.I = 1.008-3.005), and working hours (OR = 2.982, C.I = 1.621-5.487) were the predictors of burnout; only working hours (OR = 0.279, C.I = 0.091-0.0862) was the predictor of disengagement; and gender (OR = 0.248, C.I = 0.107-0.579) was the predictor of exhaustion. Heavy workloads, long working hours, migration, poor working environment, job insecurity, poor remuneration, and management style were identified factors of burnout.

Conclusion: There was high prevalence of burnout among resident doctors, predicted by gender, duration of training, and working hours. Interventions are needed to reduce burnout, prevent the "brain drain", and improve resident doctors' overall well-being.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
尼日利亚东南部埃努古州住院医生职业倦怠的普遍性和预测因素:混合方法研究。
背景:医疗保健行业中的职业倦怠是一种潜在的危害,主要在执业和受训医生中流行。目的:本研究旨在确定尼日利亚埃努古州住院医生职业倦怠的发生率和预测因素:这是一项混合方法研究,对象是尼日利亚埃努古州三级医院的 420 名住院医生。使用奥尔登堡职业倦怠量表收集数据,并对选定科室的住院总医师进行深入访谈。数据使用 IBM 统计软件包 23.0 和 Nvivo 11 进行分析。显著性检验设为 0.05:参与者的平均年龄为(34.11 ± 5.08)岁。倦怠组中,住院医生的倦怠发生率为 84.3%;脱离组中,倦怠发生率为 4.8%;精疲力竭组中,倦怠发生率为 6.9%;非倦怠组中,倦怠发生率为 4.0%。性别(OR = 1.861,C.I = 1.079-3.212)、培训时间(OR = 1.740,C.I = 1.008-3.005)和工作时间(OR = 2.982,C.I = 1.621-5.只有工作时间(OR = 0.279,C.I = 0.091-0.0862)可以预测脱离;性别(OR = 0.248,C.I = 0.107-0.579)可以预测疲惫。工作量大、工作时间长、迁移、工作环境差、工作不稳定、报酬低和管理风格是导致职业倦怠的因素:结论:住院医生的职业倦怠发生率很高,性别、培训时间和工作时间均可预测职业倦怠。需要采取干预措施来减少职业倦怠,防止 "人才流失",并改善住院医生的整体福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1