Zhou Jianlong, Sheppard-Law Suzanne, Xiao Chun, Smith Judith, Lamb Aimee, Axisa Carmen, Chen Fang
Data Science Institute, University of Technology Sydney, Ultimo, Australia.
Faculty of Health, School of Nursing & Midwifery, University of Technology Sydney, Ultimo, Australia.
Health Inf Sci Syst. 2023 Jun 23;11(1):28. doi: 10.1007/s13755-023-00228-9. eCollection 2023 Dec.
The nursing workforce is the largest discipline in healthcare and has been at the forefront of the COVID-19 pandemic response since the outbreak of COVID-19. However, the impact of COVID-19 on the nursing workforce is largely unknown as is the emotional burden experienced by nurses throughout the different waves of the pandemic. Conventional approaches often use survey question-based instruments to learn nurses' emotions, and may not reflect actual everyday emotions but the beliefs specific to survey questions. Social media has been increasingly used to express people's thoughts and feelings. This paper uses Twitter data to describe the emotional dynamics of registered nurse and student nurse groups residing in New South Wales in Australia during the COVID-19 pandemic. A novel analysis framework that considered emotions, talking topics, the unfolding development of COVID-19, as well as government public health actions and significant events was utilised to detect the emotion dynamics of nurses and student nurses. The results found that the emotional dynamics of registered and student nurses were significantly correlated with the development of COVID-19 at different waves. Both groups also showed various emotional changes parallel to the scale of pandemic waves and corresponding public health responses. The results have potential applications such as to adjust the psychological and/or physical support extended to the nursing workforce. However, this study has several limitations that will be considered in the future study such as not validated in a healthcare professional group, small sample size, and possible bias in tweets.
护理人员是医疗保健领域中最大的专业群体，自新冠疫情爆发以来，他们一直处于应对新冠疫情的前沿。然而，新冠疫情对护理人员的影响在很大程度上尚不清楚，护士们在疫情不同阶段所经历的情感负担也是如此。传统方法通常使用基于调查问题的工具来了解护士的情绪，这些工具可能无法反映实际的日常情绪，而只是反映特定于调查问题的信念。社交媒体越来越多地被用于表达人们的想法和感受。本文利用推特数据描述了澳大利亚新南威尔士州注册护士和学生护士群体在新冠疫情期间的情绪动态。我们采用了一个新颖的分析框架，该框架考虑了情绪、讨论话题、新冠疫情的发展态势、政府公共卫生行动以及重大事件，以检测护士和学生护士的情绪动态。结果发现，注册护士和学生护士的情绪动态与新冠疫情不同阶段的发展显著相关。两组人员还随着疫情波次规模和相应公共卫生应对措施出现了各种情绪变化。这些结果具有潜在的应用价值，比如可用于调整给予护理人员的心理和/或身体支持。然而，本研究存在一些局限性，将在未来研究中予以考虑，比如未在医疗专业群体中进行验证、样本量小以及推文可能存在偏差。
