Utilization of Outpatient Mental Health Services During and After The COVID-19 Pandemic

Main Article Content

Michelle Hayek
Sulki Park
Mark Lawley
Michelle Bovin
Hye-Chung Kum

Abstract

Objective and Approach
This study examines the impact of COVID-19 on outpatient mental health (OP-MH) service use and assesses the role of telehealth on OP-MH service patterns. Using the 5% national sample of Medicare beneficiaries, the intervention group was defined as those newly diagnosed with a MH condition in 2019 (no MH diagnosis 2 years prior) with a 2-year study period of 2020-2021. The comparison group included non-overlapping individuals newly diagnosed in 2017 with a study period of 2018-2019. The OP utilization patterns were examined over the 2 years post-diagnosis and compared across MH diagnostic categories, including schizophrenia, bipolar, depression, anxiety, trauma-related, and substance-use disorders. 


Results
The intervention group observed a significant reduction in MH utilization in March-April 2020 compared to the matched sample. While patients with schizophrenia and bipolar disorders saw a return to normal patterns by May 2020, those with depression, anxiety, trauma-related, and substance-use disorders continued to exhibit significant reductions in MH utilization post-COVID-19. The intervention group demonstrated a significant increase in telehealth usage, transitioning from 1% pre-COVID-19 to a peak of ~60% during the pandemic. This trend gradually decreased, reaching an average of 30% by the end of 2021 across all conditions. 


Conclusions and Implications
This study underscores the impact of the pandemic on OP-MH utilization and emphasizes the potential of telehealth in improving access to care to meet OP-MH needs. Further, the results highlight the differences in OP-MH utilization across diagnostic categories and the relative benefit of telehealth options for these conditions.

Article Details

How to Cite
Hayek, M. (2024) “Utilization of Outpatient Mental Health Services During and After The COVID-19 Pandemic”, International Journal of Population Data Science, 9(5). doi: 10.23889/ijpds.v9i5.2622.