Abstract

The coronavirus disease 2019 (COVID-19) pandemic has negatively impacted the mental health functioning of older adults residing in long-term care (LTC) settings. This study examines the impact of the lockdown on anxiety symptoms over time in LTC residents. Secondary data analysis was conducted on clinical data obtained with permission from a large behavioral health company that provides behavioral health services in long-term care (LTC) and assisted living (AL) facilities. Data were obtained from 1149 adults (mean age 72.37, 70% female) in LTC and AL facilities across the United States who were receiving psychological services 1 year prior, and 1 year after, the COVID-19 pandemic lockdown. Changes in anxiety (measured using a clinician rating scale) over time before and after the pandemic were assessed using latent growth curve modeling with psychiatric diagnosis, psychiatric medication, and demographic factors included as covariates. Anxiety severity decreased over time before and after the onset of the COVID-19 pandemic. Although pandemic-level factors such as facility closure and telehealth availability did not affect anxiety over time, individual treatment factors such as obsessive compulsive disorder diagnosis, initial anxiety severity, bipolar disorder diagnosis, and prescriptions for anxiolytic and antipsychotic medications affected the trajectory of anxiety during the pandemic. These results demonstrate that individual covariates such as diagnosis, symptom severity, and medication use impacted the trajectory of anxiety symptoms before and during the COVID-19 pandemic more strongly than pandemic-related circumstances (facility closure, telehealth availability). The impact of the COVID-19 pandemic may be better observed through treatment-relevant variables, rather than pure symptom severity. In preparation for future pandemics or other large-scale disasters potentially impacting service delivery, facilities should continue to prioritize continuity of care or a timely resumption of services attending to individual treatment factors.

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