From Office-Based Treatment to Telehealth: Comparing Clinical Outcomes and Patient Participation in a Psychiatric Intensive Outpatient Program with a Large Transdiagnostic Sample

Demystifying treatment disposition patterns for psychiatrically high-risk youth referred for intensive outpatient psychiatric services: The role of demographics and telehealth

Intensive outpatient (IOP) psychiatric treatment is increasingly deployed to meet the needs of psychiatrically high-risk youth; however, documentation of treatment disposition for in-person and/or telehealth modalities following treatment referral is largely unknown. The current study examined psychiatrically high-risk youth baseline treatment disposition patterns and explored variations according to treatment modality (telehealth vs. in-person). Using archival records of 744 adolescents (Mage = 14.91, SD = 1.60) admitted to a psychiatric IOP, multinomial logistic regressions revealed that commercially insured youth fared better than non-commercially insured youth with respect to treatment completion. When treatment modality was accounted for, youth treated on telehealth were no more likely to be psychiatrically hospitalized compared to youth treated with in-person services. However, youth treated on telehealth dropped out due to excessive absences or withdrawal/refusal to a greater extent than those treated in person. Future studies should examine clinical outcomes in addition to treatment disposition patterns to further understand youth's course of treatment at intermediate level of care settings (e.g., IOP).

Decreased inpatient psychiatric admissions with telepsychiatry use during the COVID-19 pandemic

Objective

This study examines the quality of care provided through telepsychiatry by comparing psychiatric hospitalization rates among patients receiving in-person psychiatric care prior to the COVID-19 pandemic with rates among patients receiving virtual psychiatric care during the COVID-19 pandemic.

Methods

Mental health-related hospitalization rates among patients enrolled in a large academic hospital's outpatient psychiatry programs between March 1, 2018 and February 28, 2022 were retrospectively analyzed. Four time periods were created, spanning March 1 to February 28 of the following year. Demographic and clinical data were collected from the electronic health record, and descriptive statistics were calculated. Change in hospitalization rate between time periods was evaluated using McNemar's test.

Results

In the 2018 time period, 7.38% of all enrolled patients were hospitalized, compared to 7.70% hospitalized in the 2019 period, 5.74% in the 2020 period, and 5.38% in the 2021 period. Patients enrolled in both the 2018 and the 2019 periods saw no difference in hospitalization rate between the 2 years (2.93% in 2018, 2.83% in 2019; p = 0.830); patients enrolled in both 2019 and 2020 saw significantly lower hospitalization rates in 2020 (5.47% in 2019, 4.58% in 2020; p = 0.022); and patients enrolled in both 2020 and 2021 saw no difference (3.34% in 2020, 3.23% in 2021; p = 0.777).

Conclusion

Psychiatric hospitalization rates significantly decreased between the 2019 and the 2020 periods, suggesting a decrease in admissions associated with adoption of telepsychiatry. Future research should differentiate the roles played by telepsychiatry and COVID-19-related factors in reducing hospitalization rates during the pandemic.