THE APPLICATION OF SOCIAL SUPPORT THEORY IN PREDICTING STRESS, ANXIETY AND JOB BURNOUT OF HEALTH CARE WORKERS IN THE POST PANDEMIC OF COVID-19

Abstract

Background: The COVID-19 epidemic was a major crisis in health, causing health care providers to suffer mental stress as health care providers. On the other hand, social support is effective in mental health, helping people cope with stressful and anxious situations and reducing psychological harm. Objectives: The study aimed to determine the relationship between stress, anxiety, and unemployment after the outbreak of the influenza-19 depression with social support received by health workers in the city of Ardabil in 2023. Methods: This cross-sectional analysis study was conducted with 216 health workers using a stratified random sampling method. Data collection tools include demographic questionnaires, DASS 21, Maslach, and MSPSS 12. The data were analyzed in two sections of descriptive statistics and analysis using SPSS 22 software. Results: The average stress, anxiety and job burnout of health workers were 9.11, 6.44 and 39.30, respectively, and the average social support received was higher than the average. According to Spearman's correlation coefficients, there is a linear inverse correlation between the social support perceived by caregivers and stress, anxiety and job burnout. According to multiple regression models, 25 per cent of changes in stress, 16 per cent in anxiety and 23 per cent in burnout changes of employees are described by perceived social support. The place of work of caregivers affects the perception of social support and mental health. Conclusions: Stress, anxiety, and burnout among healthcare personnel are inversely related to their perceived social support. Furthermore, healthcare personnel in metropolitan areas have poorer perceived social support and more psychological issues. Strategies for increasing social support can help improve mental health and reduce occupational burnout.