INVESTIGATION OF THE EMOTIONS OF HEALTH PERSONNEL DURING THE PANDEMIC PROCESS IN TERMS OF SOME VARIABLES

Abstract

Objective: The aim of this study was to detect the prevalence of stress, insomnia and depression amongst medical personnel during the COVID-19 outbreak. Methods: This study, which uses a quantitative approach, is descriptive research based on the general screening model. The sample of the study consisted of 849 health workers who used social media and agreed to support research online. In the study, a questionnaire containing demographic information, The Hospital Anxiety-Depression Scale (HAD), and the Perceived Stress Scale (ASÖ) were used as a data collection tool. Analysis of the obtained data was performed by performing an independent sample t test and one-way analysis of variance (ANOVA) using the SPSS 20 program. Results: The study recruited 849 participants, of which 59.5.2% were nurse, 11.3 % were doctor and 29.2 % other medical personnel. When the distribution of anxiety (HAD-A), depression (HAD-D), Perceived Stress Scale score averages was examined, the distribution of anxiety (HAD-A), depression (HAD-D), perceived stress score averages of participants was found to have moderate levels of questionnaire and depression, while perceived stress was higher. There are statistically significant differences between depression (HAD-D) and anxiety (HAD-A) scores and participants ' “working or not working in a pandemic clinic” status. Result: As a result of the findings, it can be stated that health workers working in the pandemic clinic have higher stress, anxiety and depression scores It has been concluded that medical staff working as nurses and midwives are under more stress than specialists and general practitioners. During the covid-19 pandemic, measures that can be taken to identify the situations affecting the mental health of medical personnel working at the front line, the psychosocial problems they experience, the protection of the mental health of employees and the Prevention of mental trauma should be taken into account.