Aim: In this study, we aimed to investigate anxiety, depression, and sleep problems in healthcare professionals during the pandemic. Materials and Methods: This descriptive and cross-sectional study was conducted with Diyarbakır Gazi Yaşargil Training and Research Hospital employees. A total of 170 people were reached for the research. The data collected by the on-line survey method consisted of demographic questions, questions about behavior change due to COVID-19, Generalized Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire (PHQ-9), and Insomnia Severity Index (ISI). Results: It was found that 72.9% of the healthcare professionals had anxiety, 83.5% had depression, and 87.1% had sleep problems. The total score of the GAD-7 scale was found to be significantly higher in those who used personal protective equipment (p=0.021) and those who received infection training (p<0.001). The PHQ-9 scale total score was higher in those 35 years of age and older (p=0.019) and college graduates (p=0.023). The total score of the insomnia severity scale (ISI) was significantly higher in those 35 years of age and older (p=0.040), in college graduates (p=0.049), and single/divorced (p=0.009). A significant difference was found between gender, occupation, smoking, fear of infection, burnout status, and total scores of all three scales (p<0.05). Conclusion: Healthcare professionals were found to have high levels of anxiety, depression, and sleep problems. Anxiety, depression, and insomnia problems were higher in women, health technicians, smokers, those with fear of infection, and those with burnout.

Aim: The purpose of this study is to determine the level of attention between shifts and to make recommendations about the regulation of shifts. Methods:The researchers applied the Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), Pittsburgh Sleep Quality Index (PSQI) and Stroop color word interaction test (SCWI) in 72 intensive care workers working in different shifts. Result: The study included a total of 72 participants, including 30 (43.3%) females and 42 (58.3%) males. There were statistically significant differences between the groups in the sub-items of the HAM-D and SCWI test (Table 3). There was a significant elongation in the night shift employees at all times within the SCWI sub-items. A significant height in the number of errors and corrections in the cards applied in the continuation of the test was also determined in the night shift group. Conclusion: This study revealed a significant decrease in the level of attention in the night-shift compared to the day-shift. This increase in attention deficit may also be a preventable cause of increased mortality in the night-shift What is already known about this topic? • Mortality rates in intensive care units are higher than in other clinics. What this paper adds? • Our study reported significantly poor results of the SCWI test in the night-shift compared to the day-shift. The implications of this paper: • This study revealed a significant decrease in the level of attention in the night-shift compared to the day-shift. We believe that it will be beneficial to shorten the shift times, to keep the number of patients per staff at international standards, to set active rest periods and to plan personnel and hours to reduce the lack of attention observed in the night shift. KEYWORDS Attention, healthcare worker, night-shift, intensive care