Department of Public Health and Community Medicine, Faculty of Medicine, Menoufia University, Shibin El Kom, Egypt.
Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Tanta University, Tanta, Egypt.
Front Public Health. 2022 Apr 26;10:796321. doi: 10.3389/fpubh.2022.796321. eCollection 2022.
This study aimed to investigate the technostress creators and outcomes among University medical and nursing faculties and students as direct effects of the remote working environment during the COVID-19 pandemic.
Due to the current COVID-19 pandemic, shifting to virtual learning that implies utilizing the information and communication technologies (ICTs) is urgent. Technostress is a problem commonly arising in the virtual working environments and it occurs due to misfitting and maladaptation between the individual and the changeable requirements of ICTs.
A multicenter cross-sectional study was conducted in medicine and nursing colleges of 5 Egyptian universities and included both staff members and students. The data were collected through personal interviews, from January to May 2021. All the participants took a four-part questionnaire that asked about personal and demographic data, technostress creators, job or study, and technical characteristics and technostress outcomes (burnout, strain, and work engagement). Furthermore, participants' blood cortisol and co-enzyme Q10 (CoQ10) levels were tested in a random sample of the students and medical staff.
A total of 3,582 respondents participated in the study, 1,056 staff members and 2,526 students where 33.3% of the staff members and 7.6% of students reported high technostress. Among staff members, total technostress score significantly predicted Cortisol level (β = 2.98, CI 95%: 0.13-5.83), CoQ10(β = -6.54, CI 95%: [(-8.52)-(-4.56), strain (β = 1.20, CI 95%: 0.93-1.47), burnout (β = 0.73, CI 95%: 0.48-0.97) and engagement (β = -0.44, CI 95%: [(-0.77)-(-0.11)]) whereas among students, total technostress score significantly predicted cortisol level (β = 6.64, CI 95%: 2.78-10.49), strain (β = 1.25, CI 95%: 0.72-1.77), and burnout (β = 0.70, CI 95%: 0.37-1.04). Among staff members and students, technology characteristics were significantly positive predictors to technostress while job characteristics were significantly negative predictors to technostress.
The Egyptian medical staff members and students reported moderate-to-high technostress which was associated with high burnout, strain, and cortisol level; moreover, high technostress was associated with low-work engagement and low CoQ10 enzyme. This study highlighted the need to establish psychological support programs for staff members and students during the COVID-19 pandemic.
本研究旨在探讨大学医学和护理教师和学生在 COVID-19 大流行期间远程工作环境中的技术压力源和结果，这是直接影响。
由于当前的 COVID-19 大流行，转向虚拟学习意味着迫切需要利用信息和通信技术（ICT）。技术压力是虚拟工作环境中常见的问题，它是由于个人与 ICT 不断变化的要求之间不匹配和不适应而产生的。
在 5 所埃及大学的医学院和护理学院进行了一项多中心横断面研究，包括教职员工和学生。数据通过个人访谈收集，时间为 2021 年 1 月至 5 月。所有参与者都填写了一份四部分问卷，内容涉及个人和人口统计学数据、技术压力源、工作或学习以及技术特征和技术压力结果（倦怠、压力和工作投入）。此外，在学生和医务人员的随机样本中测试了参与者的皮质醇和辅酶 Q10（CoQ10）水平。
共有 3582 名受访者参加了这项研究，其中包括 1056 名教职员工和 2526 名学生，其中 33.3%的教职员工和 7.6%的学生报告技术压力高。在教职员工中，总技术压力评分显著预测皮质醇水平（β=2.98，CI95%：0.13-5.83）、CoQ10（β=-6.54，CI95%：[-8.52）-（-4.56））、应变（β=1.20，CI95%：0.93-1.47）、倦怠（β=0.73，CI95%：0.48-0.97）和投入（β=-0.44，CI95%：[-0.77）-（-0.11）]）而在学生中，总技术压力评分显著预测皮质醇水平（β=6.64，CI95%：2.78-10.49）、应变（β=1.25，CI95%：0.72-1.77）和倦怠（β=0.70，CI95%：0.37-1.04）。在教职员工和学生中，技术特征是技术压力的显著正预测因子，而工作特征是技术压力的显著负预测因子。
埃及医护人员和学生报告了中度至高度的技术压力，这与高倦怠、压力和皮质醇水平有关；此外，高技术压力与低工作投入和低 CoQ10 酶有关。本研究强调了在 COVID-19 大流行期间为员工和学生建立心理支持计划的必要性。
