Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

2020 ◽  
Vol 88 (4) ◽  
pp. 311-321
Author(s):  
Erik Forsell ◽  
Nils Isacsson ◽  
Kerstin Blom ◽  
Susanna Jernelöv ◽  
Fehmi Ben Abdesslem ◽  
...  
Keyword(s):  
Treatment Failure ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Cognitive Behavior ◽  
Depression And Anxiety ◽  
Regular Care ◽  
Symptom Measures

scholarly journals Digital Cognitive Behavior Therapy Intervention for Depression and Anxiety: Retrospective Study (Preprint)

2020 ◽  
Author(s):  
Aarathi Venkatesan ◽  
Lily Rahimi ◽  
Manpreet Kaur ◽  
Christopher Mosunic
Keyword(s):  
Mental Health ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Behavioral Therapy ◽  
Severe Depression ◽  
Cognitive Behavior ◽  
Depression And Anxiety ◽  
Point Reduction ◽  
Therapy Program ◽  
Patient Health

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, <i>P</i>&lt;.001) and anxiety scores (β=–0.10, <i>P</i>&lt;.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, <i>P</i>&lt;.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, <i>P</i>&lt;.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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