Abstract
Background:
Since the COVID-19 pandemic, psychosocial therapies have been provided in varying formats, including remote, in-person, and hybrid services. It is unclear whether varying formats are similarly efficacious in improving psychiatric symptoms and functioning, lead to similar rates of treatment retention, and are equally acceptable to patients. This study compared youth with mood disorders and/or psychosis-risk syndromes who participated in a group cognitive behavioral therapy (CBT) in-person prior to COVID-19, to youth in the same treatment given remotely during the pandemic.
Methods:
Adolescents ages 13–17 years participated in 9 sessions of group-based CBT given in-person (2018–2019) or remotely (2020–2021). Youth participants provided self-report ratings of psychiatric symptoms, psychosocial functioning, and emotional regulation at the study baseline and post-treatment and ratings of treatment satisfaction and burden at post-treatment.
Results:
There were no differences between in-person and remote treatment improvements in psychiatric symptoms, psychosocial functioning or emotional regulation. However, youth in remote treatment had increased retention compared to youth who received treatment in person. Youth in the remote treatment reported similar levels of satisfaction but reported lower burden compared to those who received in-person treatment.
Limitations:
Participants were not randomized into remote or in-person treatment. Participants prior to COVID did not have the same frame of reference for alternative treatment delivery options as those during or post-COVID.
Conclusions:
Remote group treatment can provide similar levels of psychiatric benefit but less burden than in-person treatment for youth with mood disorders and/or psychosis-risk syndromes.
Keywords: Unified Protocol, Transdiagnostic, Depression, High risk, Cognitive behavioral therapy
The recent COVID-19 pandemic has underlined the importance of treatments that are not only flexible but also can be delivered remotely. Preliminary evidence suggests that individual and group therapy given remotely is comparable in efficacy, acceptability, and retention to the same therapy given in person among adults with depression and psychosis (Giovanetti et al., 2022; Mendelson et al., 2022). It is unclear, however, whether the same is true for group treatments for youth. We have adapted and begun testing the Unified Protocol for Adolescents, a transdiagnostic cognitive behavioral therapy for youth with mood and/or anxiety disorders, in a group format for adolescents with mood disorders and/or psychosis-risk syndromes (Ehrenreich et al., 2009; Weintraub et al., 2020). In a 9-week open trial, the group CBT was associated with improvements in psychiatric symptoms, emotion regulation, and psychosocial functioning (Weintraub et al., 2022). However, we did not examine whether there were differences in the treatment's psychiatric benefit, retention, and acceptability between adolescents who participated in the treatment in person versus remotely.
In this non-randomized trial of the group CBT for adolescents with mood disorders and/or psychosis-risk syndromes, we compared cohorts that were conducted in-person (prior to the COVID-19 pandemic) to cohorts that were held remotely during the pandemic. We hypothesized that the two treatments would show similar improvements in psychiatric symptoms and functioning. Given the convenience and reduced barrier to access associated with telehealth, we hypothesized that the remote format would be reviewed more favorably by youth in terms of treatment satisfaction and that rates of participant would be accordingly higher.
We recruited adolescents ages 13–17 years from two specialty outpatient programs within the UCLA Semel Institute – the Child and Adolescent Mood Disorders Program (CHAMP) and the Center for the Assessment and Prevention of Prodromal States (CAPPS). Youth had to meet Diagnostic and Statistical Manual of Mental Disorders 5 criteria for a lifetime unipolar or bipolar mood disorder using the MINI International Neuropsychiatric Interview (Sheehan, 2014) and/or current criteria for a psychosis-risk syndrome based on the Structured Interview for Psychosis-Risk Syndromes (Miller et al., 2003). Participants were excluded if they were too acutely ill to participate in outpatient treatment and/or who would be disruptive to the other group participants (e. g., significant behavioral issues).
The treatment was a modified version of the Unified Protocol (UP) for Adolescents (Weintraub et al., 2020). The treatment was administered in a group format across nine, 90-min sessions. Treatment content included psychoeducation (e.g., emotions and their function), cognitive skills (e.g., identifying cognitive distortions, cognitive reappraisal), and behavioral skills (e.g., scheduling pleasant activities, opposite action). A total of eight group cohorts were included, which were consecutive entries into the same study protocol. However, the first four cohorts took place between 2018 and 2019 prior to the COVID pandemic, whereas the final four cohorts took place between 2020 and 21 during the pandemic, which necessitated transferring the treatment to a telehealth format.
Participants were assessed at the study baseline and within two weeks following treatment termination. Adolescents rated their psychiatric symptoms using the Symptom Checklist 90 – Revised (SCL-90; Derogatis, 1979). Emotion regulation was rated by youth using the Difficulties with Emotion Regulation Scale (DERS; Gratz and Roemer, 2004). Psychosocial functioning was measured by youth self-report on the KINDL (Ravens-Sieberer et al., 2000). Treatment satisfaction and treatment burden were measured at treatment termination by adolescents on a 10-point scale, with 1 being ‘not at all’ satisfying/burdensome to 10 being ‘very much’ satisfying/burdensome, respectively. Using paired samples t-tests, we examined changes in the SCL-90 and the DERS from pre-to-post treatment. We used analyses of variance (ANOVA) to compare differences between in-person and remote cohorts on psychiatric symptom severity, difficulties in emotion regulation, and treatment satisfaction and burden.
A total of 61 adolescents enrolled in the study, with 30 receiving treatment in person and 31 receiving remote treatment. Youth in the study had an average age of 15.4 years (SD = 1.4) and were predominantly Caucasian and biologically female (both ns = 35; 57.4 %). There were no statistically significant differences on baseline demographic or clinical study variables between the youth who received in-person compared to remote treatment. Thirty-eight youth (62.3 %) were deemed treatment completers based on the previously published threshold of 6 sessions signifying treatment completion (Weintraub et al., 2022). More details regarding the study population can be found in Table 1.
Table 1.
Demographics | In-Person (n = 30) |
Remote (n = 31) |
Total (N = 61) |
---|---|---|---|
Mean (SD) | Mean (SD) | Mean (SD) | |
Youth age (years) | 15.2 (1.4) | 15.1 (1.5) | 15.2 (1.4) |
Youth academic grade | 10th (1.4) | 10th (1.5) | 10th (1.4) |
n (%) | n (%) | n (%) | |
Youth sex, female | 16 (53.3) | 19 (61.3) | 35 (57.4) |
Youth race | |||
Non-Hispanic White/Caucasian | 15 (50.0) | 20 (64.5) | 35 (57.4) |
Hispanic White/Caucasian | 8 (26.7) | 4 (12.9) | 12 (19.7) |
Black or African American | 3 (10.0) | 1 (3.2) | 4 (6.6) |
Asian or Asian-American | 0 (0.0) | 4 (12.9) | 4 (6.6) |
Mixed race | 4 (13.3) | 1 (3.2) | 5 (8.2) |
Other race | 0 (0.0) | 1 (3.2) | 1 (1.6) |
Youth baseline illness characteristics | |||
n (%) | n (%) | n (%) | |
Mood and/or psychosis spectrum diagnoses | |||
Attenuated psychosis syndrome + mood disorder | 9 (30.0) | 7 (22.6) | 16 (26.2) |
Attenuated psychosis syndrome only | 1 (3.3) | 1 (3.2) | 2 (3.3) |
Bipolar spectrum disorder only | 2 (6.7) | 5 (16.1) | 7 (11.5) |
Depressive spectrum disorder only | 18 (60.0) | 18 (58.1) | 36 (59.0) |
Mean (SD) | Mean (SD) | Mean (SD) | |
Symptom Severity Rating Scales | |||
Symptom Checklist 90 – Revised (SCL-90) | 108.7 (75.0) | 107.3 (77.3) | 108.0 (75.6) |
Difficulties with Emotion Regulation Scale (DERS) | 104.8 (25.2) | 103.0 (27.0) | 104.0 (25.7) |
KINDL | 87.2 (18.9) | 90.6 (18.2) | 88.9 (18.5) |
Youth in the remote format group attended marginally more sessions than those in person (Remote M = 6.7 [SD = 2.8], In-person M = 5.2 [SD = 3.1]; F(1, 59) = 3.52, p = 0.07). Youth in the remote groups were more likely to complete the treatment compared to their in-person counterparts (X2(1) = 6.14, p = 0.02). The youth in the remote format reported less treatment burden at treatment termination (F(1, 39) = 4.36, p = 0.04) but similar levels of treatment satisfaction (F(1,39) = 1.41, p = 0.24) compared to the youth receiving the in-person format. There were no differences between in-person vs. remote treatment delivery in pre-to-post treatment changes in symptom severity (SCL-90; F(1, 39) = 0.34, p = 0.56), emotion regulation (DERS; F(1, 39) = 0.05, p = 0.82), or psychosocial functioning (KINDL; F(1, 39) = 2.41, p = 0.13).
Since the onset of the COVID pandemic, the administration of psychosocial treatments has widely varied between in-person, remote, and hybrid formats. Thus, it is important to ensure that these various delivery modalities have comparable levels of efficacy and acceptability. Additionally, it is important to understand the benefits and drawbacks of these various modalities. The present study suggests that remote and in-person delivery of GroupUP have similar levels of psychiatric and functional benefit for youth with mood disorders and psychosis risk syndromes. It also appears that remote delivery of this group therapy is less burdensome but equally satisfying to consumers compared to in-person treatment among youth. The in-person and remote group differences in treatment completion and self-reported burden of participation may be confounded by a cohort effect. Additionally, we did not measure the impact of the pandemic on baseline distress levels in the remote groups, although it is notable that there were no statistical differences on baseline clinical variables between the in-person and remote groups. Overall, we cannot be certain that the results would have been the same had we randomly assigned two identical groups to remote vs. in-person treatment. Future research should examine whether there are subgroups (e.g., youth with mood disorders versus psychosis risk syndromes) or individual factors (e.g., level of symptom severity) that respond best to one format over the other.
Acknowledgements
We would like to thank Linda Sepulveda, Psy.D., Ravreet Cheema, Psy.D., Alexa Connors, Psy.D., Bernalyn Ruiz, Ph.D., Roseta Patatanian, Psy.D., Hillary Schiltz, PhD, Emily Hanna, Psy.D., and Sheena Salonga, Psy.D., for their help in facilitating the groups.
Funding
Financial support for this study was provided by the National Institute of Mental Health (NIMH) grants K23MH124015, AIM for Mental Health, the American Psychological Foundation, and the Shear Family Foundation. The funding sources had no role in the design or conduct of the study; collection, management, analysis and interpretation of data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.
Footnotes
Declaration of competing interest
The author(s) declare that there were no conflicts of interest with respect to the authorship or the publication of this article. Dr. Weintraub reports research support from NIMH, Friends of Semel, the American Psychological Foundation, and AIM for Youth Mental Health. Dr. Bearden receives research support from the NIMH, the Foundation for the National Institutes of Health, the Shear Family Foundation, and the Don Levin Trust, and is on the scientific advisory board for One Mind. Dr. Miklowitz has received research support from NIMH, the Danny Alberts Foundation, the Attias Family Foundation, the Carl and Roberta Deutsch Foundation, the Kayne Family Foundation, and the Max Gray Fund; and book royalties from Guilford Press and John Wiley and Sons. Dr. Ichinose and Ms. Zinberg have reported no financial interests or potential conflicts of interest.
CRediT authorship contribution statement
Marc J. Weintraub: Writing – review & editing, Supervision, Methodology, Project administration, Investigation, Formal analysis. Jamie Zinberg: Writing – review & editing, Supervision, Methodology, Investigation, Conceptualization. Megan C. Ichinose: Writing – review & editing, Supervision, Methodology, Investigation. Carrie E. Bearden: Writing – review & editing, Methodology, Funding acquisition, Conceptualization. David J. Miklowitz: Writing – review & editing, Supervision, Methodology, Funding acquisition, Conceptualization.
References
- Derogatis LR, 1979. Symptom Checklist-90-Revised (SCL-90-R). NCS Pearson, Lyndhurst, NJ. [Google Scholar]
- Ehrenreich JT, Goldstein CR, Wright LR, Barlow DH, 2009. Development of a unified protocol for the treatment of emotional disorders in youth. Child Fam. Behav. Ther 31, 20–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giovanetti AK, Punt SE, Nelson E-L, Ilardi SS, 2022. Teletherapy versus in-person psychotherapy for depression: a meta-analysis of randomized controlled trials. Telemed. e-Health 28, 1077–1089. [DOI] [PubMed] [Google Scholar]
- Gratz KL, Roemer L, 2004. Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J. Psychopathol. Behav. Assess 26, 41–54. [Google Scholar]
- Mendelson D, Thibaudeau É, Sauvé G, Lavigne KM, Bowie CR, Menon M, Woodward TS, Lepage M, Raucher-Chéné D, 2022. Remote group therapies for cognitive health in schizophrenia-spectrum disorders: feasible, acceptable, engaging. Schizophr. Res.: Cogn 28, 100230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miller TJ, McGlashan TH, Rosen JL, Cadenhead K, Ventura J, McFarlane W, Perkins DO, Pearlson GD, Woods SW, 2003. Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. Schizophr. Bull 29, 703. [DOI] [PubMed] [Google Scholar]
- Ravens-Sieberer U, Görtler E, Bullinger M, 2000. Subjective health and health behavior of children and adolescents–a survey of Hamburg students within the scope of school medical examination. Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) 62 (3), 148–155. [DOI] [PubMed] [Google Scholar]
- Sheehan D, 2014. The Mini-International Neuropsychiatric Interview, Version 7.0 for DSM-5 (MINI 7.0) Medical Outcomes Systems, Jacksonville, FL. [Google Scholar]
- Weintraub MJ, Zinberg JL, Bearden CE, Miklowitz DJ, 2020. Applying a transdiagnostic unified treatment to adolescents at high risk for serious mental illness: rationale and preliminary findings. Cogn. Behav. Pract 27, 202–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weintraub MJ, Ichinose MC, Zinberg J, Done M, Morgan-Fleming GM, Wilkerson CA, Brown RD, Bearden CE, Miklowitz DJ, 2022. App-enhanced transdiagnostic CBT for adolescents with mood or psychotic spectrum disorders. J. Affect. Disord 311, 319–326. [DOI] [PMC free article] [PubMed] [Google Scholar]