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Blended Care-Cognitive Behavioral Therapy for Depression and Anxiety in Real-World Settings: Pragmatic Retrospective Study
- Source :
- Journal of Medical Internet Research, Vol 22, Iss 7, p e18723 (2020)
- Publication Year :
- 2020
- Publisher :
- JMIR Publications, 2020.
-
Abstract
- BackgroundThe past few decades saw considerable advances in research and dissemination of evidence-based psychotherapies, yet available treatment resources are not able to meet the high need for care for individuals suffering from depression or anxiety. Blended care psychotherapy, which combines the strengths of therapist-led and internet interventions, can narrow this gap and be clinically effective and efficient, but has rarely been evaluated outside of controlled research settings. ObjectiveThis study evaluated the effectiveness of a blended care intervention (video-based cognitive behavior therapy and internet intervention) under real-world conditions. MethodsThis is a pragmatic retrospective cohort analysis of 385 participants with clinical range depression and/or anxiety symptoms at baseline, measured using Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), who enrolled in blended care psychotherapy treatment. Participants resided in the United States and had access to the blended care intervention as a mental health benefit offered through their employers. Levels of depression and anxiety were tracked throughout treatment. Hierarchical linear modeling was used to examine the change in symptoms over time. The effects of age, gender, and providers on participants’ symptom change trajectories were also evaluated. Paired sample t-tests were also conducted, and rates of positive clinical change and clinically significant improvement were calculated. ResultsThe average depression and anxiety symptoms at 6 weeks after the start of treatment were 5.94 and 6.57, respectively. There were significant linear effects of time on both symptoms of depression and anxiety (β=–.49, P
Details
- Language :
- English
- ISSN :
- 14388871
- Volume :
- 22
- Issue :
- 7
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Medical Internet Research
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.46a218c5b66e4be1a402cef41aee912c
- Document Type :
- article
- Full Text :
- https://doi.org/10.2196/18723