Predictors of post-traumatic stress disorder among healthcare workers during the COVID-19 pandemic in Poland

Abstract

The COVID-19 pandemic has significantly impacted the mental health of healthcare workers globally. Given the critical role these professionals play, understanding the prevalence and predictors of post-traumatic stress disorder (PTSD) among healthcare workers is crucial for developing targeted interventions. Comprehensive data on the predictors of PTSD symptoms within this population remain limited. This cross-sectional study surveyed 852 healthcare workers across 4 Polish regions between 2021 and 2022. Data were collected using the Post-traumatic Stress Disorder Checklist–Civilian Version (PCL-C), which was culturally adapted and validated for Polish respondents. To identify key predictors of PTSD symptoms, researchers employed various statistical methods: Descriptive Statistics summarized key variables (e.g. age, job tenure) to provide an overview of data distribution and sample characteristics. Pearson Correlations examined linear relationships among variables like age, work experience, and PTSD severity, ensuring no multicollinearity through variance inflation factor checks. t-Tests and Mann–Whitney U tests compared PTSD symptom severity across demographic and professional subgroups, accounting for normality using the Kolmogorov– Smirnov test. And Hierarchical Regression Analysis identified significant predictors, incorporating demographic factors first and work-related variables (e.g. fear for personal health) in a second step. A total of 88.1% of participants were female, and 82.6% were nurses. The overall prevalence of PTSD symptoms was high, with a mean total PTSD score of 37.87. Gender differences were significant, with women reporting higher scores across the PTSD subscales, including avoidance and hyperarousal. Nurses had significantly higher intrusion symptoms compared to other professionals. Fear for personal health was the strongest predictor of PTSD symptoms (β = 0.15, P < .001), explaining 11% of the variance in the final regression model (R2 = 0.11, P < .001). The findings underscore the urgent need for targeted mental health interventions, particularly for women and nurses, who are disproportionately affected by PTSD during the pandemic. Predictive models should guide the development of support programs to mitigate the long-term psychological impact of COVID-19 and ensure better preparedness for future pandemics. The significant influence of fear for personal health on PTSD outcomes highlights the importance of protective measures and psychological support for frontline healthcare workers