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Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study

BACKGROUND: Digital mental health interventions offer a scalable solution that reduces barriers to seeking care for clinical depression and anxiety. OBJECTIVE: We aimed to examine the effectiveness of a 12-week therapist supported, app-based cognitive behavioral therapy program in improving symptoms...

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Autores principales: Venkatesan, Aarathi, Rahimi, Lily, Kaur, Manpreet, Mosunic, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481876/
https://www.ncbi.nlm.nih.gov/pubmed/32845246
http://dx.doi.org/10.2196/21304
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author Venkatesan, Aarathi
Rahimi, Lily
Kaur, Manpreet
Mosunic, Christopher
author_facet Venkatesan, Aarathi
Rahimi, Lily
Kaur, Manpreet
Mosunic, Christopher
author_sort Venkatesan, Aarathi
collection PubMed
description BACKGROUND: Digital mental health interventions offer a scalable solution that reduces barriers to seeking care for clinical depression and anxiety. OBJECTIVE: We aimed to examine the effectiveness of a 12-week therapist supported, app-based cognitive behavioral therapy program in improving symptoms of depression and anxiety within 9 months. METHODS: A total of 323 participants with mild to moderately severe depression or anxiety were enrolled in a 12-week digital cognitive behavior therapy program. The analysis was restricted to participants who provided at least one follow-up assessment after baseline. As a result, 146 participants (45.2%) were included in the analysis—74 (50.7%) participants completed assessments at 3 months, 31 participants (21.2%) completed assessments at 6 months, and 21 participants (14.4%) completed assessments at 9 months. The program included structured lessons and tools (ie, exercises and practices) as well as one-on-one weekly video counseling sessions with a licensed therapist for 12 weeks and monthly check-in sessions for 1 year. The clinically validated Patient Health Questionnaire (PHQ-8) and Generalized Anxiety Disorder Scale (GAD-7) were used to assess depression and anxiety, respectively. Linear mixed-effects modeling was employed to examine changes in depression and anxiety over time. RESULTS: We observed a significant positive effect of program time on improvement in depression (β=–0.12, P<.001) and anxiety scores (β=–0.10, P<.001). At the end of the 12-week intervention, we observed an average reduction of 3.76 points (95% CI –4.76 to –2.76) in PHQ-8 scores. Further reductions in depression were seen at program month 6 (4.75-point reduction, 95% CI –6.61 to –2.88) and program month 9 (6.42-point reduction, 95% CI –8.66 to –6.55, P<.001). A similar pattern of improvement emerged for anxiety, with a 3.17-point reduction at the end of the 12-week intervention (95% CI –4.21 to –2.13). These improvements were maintained at program month 6 (4.87-point reduction, 95% CI –6.85 to –2.87) and program month 9 (5.19-point, 95% –6.85 to 4.81). In addition, greater program engagement during the first 12 weeks predicted a greater reduction in depression (β=–0.29, P<.001) CONCLUSIONS: The results suggest that digital interventions can support sustained and clinically meaningful improvements in depression and anxiety. Furthermore, it appears that strong initial digital mental health intervention engagement may facilitate this effect. However, the study was limited by postintervention participant attrition as well as the retrospective observational study design.
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spelling pubmed-74818762020-10-02 Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study Venkatesan, Aarathi Rahimi, Lily Kaur, Manpreet Mosunic, Christopher JMIR Ment Health Original Paper BACKGROUND: Digital mental health interventions offer a scalable solution that reduces barriers to seeking care for clinical depression and anxiety. OBJECTIVE: We aimed to examine the effectiveness of a 12-week therapist supported, app-based cognitive behavioral therapy program in improving symptoms of depression and anxiety within 9 months. METHODS: A total of 323 participants with mild to moderately severe depression or anxiety were enrolled in a 12-week digital cognitive behavior therapy program. The analysis was restricted to participants who provided at least one follow-up assessment after baseline. As a result, 146 participants (45.2%) were included in the analysis—74 (50.7%) participants completed assessments at 3 months, 31 participants (21.2%) completed assessments at 6 months, and 21 participants (14.4%) completed assessments at 9 months. The program included structured lessons and tools (ie, exercises and practices) as well as one-on-one weekly video counseling sessions with a licensed therapist for 12 weeks and monthly check-in sessions for 1 year. The clinically validated Patient Health Questionnaire (PHQ-8) and Generalized Anxiety Disorder Scale (GAD-7) were used to assess depression and anxiety, respectively. Linear mixed-effects modeling was employed to examine changes in depression and anxiety over time. RESULTS: We observed a significant positive effect of program time on improvement in depression (β=–0.12, P<.001) and anxiety scores (β=–0.10, P<.001). At the end of the 12-week intervention, we observed an average reduction of 3.76 points (95% CI –4.76 to –2.76) in PHQ-8 scores. Further reductions in depression were seen at program month 6 (4.75-point reduction, 95% CI –6.61 to –2.88) and program month 9 (6.42-point reduction, 95% CI –8.66 to –6.55, P<.001). A similar pattern of improvement emerged for anxiety, with a 3.17-point reduction at the end of the 12-week intervention (95% CI –4.21 to –2.13). These improvements were maintained at program month 6 (4.87-point reduction, 95% CI –6.85 to –2.87) and program month 9 (5.19-point, 95% –6.85 to 4.81). In addition, greater program engagement during the first 12 weeks predicted a greater reduction in depression (β=–0.29, P<.001) CONCLUSIONS: The results suggest that digital interventions can support sustained and clinically meaningful improvements in depression and anxiety. Furthermore, it appears that strong initial digital mental health intervention engagement may facilitate this effect. However, the study was limited by postintervention participant attrition as well as the retrospective observational study design. JMIR Publications 2020-08-26 /pmc/articles/PMC7481876/ /pubmed/32845246 http://dx.doi.org/10.2196/21304 Text en ©Aarathi Venkatesan, Lily Rahimi, Manpreet Kaur, Christopher Mosunic. Originally published in JMIR Mental Health (http://mental.jmir.org), 26.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on http://mental.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Venkatesan, Aarathi
Rahimi, Lily
Kaur, Manpreet
Mosunic, Christopher
Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title_full Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title_fullStr Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title_full_unstemmed Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title_short Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study
title_sort digital cognitive behavior therapy intervention for depression and anxiety: retrospective study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481876/
https://www.ncbi.nlm.nih.gov/pubmed/32845246
http://dx.doi.org/10.2196/21304
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