Latent class analysis of the Epidemic‐Pandemic Impacts Inventory on mental health outcomes in Siyan Clinical patients

BACKGROUND AND AIMS: The COVID‐19 pandemic has made an outsized negative impact on mental health worldwide. However, research indicates that this impact was not uniform. This study aimed to determine how mental health patients experienced the COVID‐19 pandemic to characterize mental health disparities and identify underlying factors. METHODS: We used the Epidemic‐Pandemic Impacts Inventory (EPII) and latent class analysis to determine the impacts of epidemics and pandemics across several life domains in 245 survey respondents, all of whom were mental health patients at Siyan Clinical. Respondents were predominately White (84.5%) and female (76.3%), with the majority being diagnosed with anxiety or mood disorders (76.3%). RESULTS: In the work life domain, respondents in the higher‐impact class were more likely to be employed and/or working in healthcare. In both the home life and emotional/physical health and infection domain, respondents with mood disorders, substance use disorders, or children under 18 living at home were more likely to be in the higher‐impact class. In the home life and positive change domains, respondents that were married were more likely to be in the higher‐impact class, indicating that this group experiences more impacts from the pandemic, both positive and negative. Finally, some groups stood out as having fewer impacts from the pandemic: respondents that were male, over age 55, White, and/or have anxiety disorders were more likely to experience fewer impacts from the pandemic in the work life and home life domains. CONCLUSIONS: This study provides evidence that certain groups may experience greater or fewer impacts from the pandemic.