Department of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
PDS Institute of Physiotherapy, Kaloji Narayana Rao University of Health Sciences, Purani Haveli, Hyderabad, India.
PeerJ. 2024 Sep 9;12:e18039. doi: 10.7717/peerj.18039. eCollection 2024.
The pandemic exacerbated burnout experienced by healthcare personnel, whose mental health had long been a public health concern before COVID-19. This study used the Copenhagen burnout inventory (CBI) tool to assess burnout and identify predictors among Indian healthcare workers managing COVID-19.
A cross-sectional study was conducted from June to December 2022, after the third pandemic wave. A web-based, fillable Google form was used to recruit COVID-19 management professionals from multiple Jaipur district hospitals. Healthcare professionals provided socio-demographic, work-related, and CBI scores. Multiple linear regression was used to control for model covariant independent variables.
We evaluated the responses of a total of 578 participants with a mean age of 36.59 ± 9.1 years. Based on the CBI cut-off score of 50, 68.1% reported burnout. A total of 67.5%, 56.4%, and 48.6% of healthcare workers reported work-related, personal, and patient-related burnout, respectively. High burnout scores were significantly associated with the nursing profession ( = 7.89, 95% CI; 3.66, 12.11, < 0.0001). The -value indicates the probability of observing the data if the null hypothesis is true, and the confidence interval shows the range within which we can be 95% confident that the true effect lies. An independent relationship exists between male gender and higher personal-related burnout scores ( = 4.45, 95% CI 1.9-6.9).
This study identified key indicators that need further emphasis and the need for organizational and individual-level burnout monitoring in healthcare delivery sectors. Health workers continue to experience burnout due to a combination of personal, professional, and patient-related factors. This underscores the need for targeted organizational and individual interventions. The findings also suggest that the CBI tool could identify healthcare worker burnout risk groups.
大流行加剧了医疗保健人员的 burnout 现象，他们的心理健康在 COVID-19 之前一直是公共卫生关注的焦点。本研究使用哥本哈根 burnout 量表（CBI）工具评估 burnout 并确定管理 COVID-19 的印度医疗保健工作者中的预测因素。
这是一项横断面研究，于 2022 年 6 月至 12 月第三波大流行后进行。使用基于网络的可填写 Google 表单从多个斋浦尔地区医院招募 COVID-19 管理专业人员。医疗保健专业人员提供社会人口统计学、工作相关和 CBI 评分。使用多元线性回归来控制模型协变量的独立变量。
我们评估了总共 578 名参与者的反应，平均年龄为 36.59 ± 9.1 岁。根据 CBI 的 50 分截止值，68.1%报告 burnout。分别有 67.5%、56.4%和 48.6%的医护人员报告工作相关、个人相关和患者相关的 burnout。高 burnout 评分与护理专业显著相关（β=7.89，95%CI；3.66，12.11，<0.0001）。β 值表示如果零假设为真，则观察到数据的概率，置信区间表示我们有 95%的信心认为真实效果所在的范围。男性性别与更高的个人相关 burnout 评分之间存在独立关系（β=4.45，95%CI 1.9-6.9）。
本研究确定了需要进一步强调的关键指标，并需要在医疗保健服务部门进行组织和个人层面的 burnout 监测。由于个人、专业和患者相关因素的综合作用，卫生工作者继续经历 burnout。这突显出需要有针对性的组织和个人干预措施。研究结果还表明，CBI 工具可以识别医疗保健工作者 burnout 风险群体。
