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.

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

10.2196/21304 ◽  
2020 ◽  
Vol 7 (8) ◽  
pp. e21304
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, 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.

Neuroscience-Informed Cognitive-Behavior Therapy in Clinical Practice: A Preliminary Study

2016 ◽  
Vol 38 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Thomas A. Field ◽  
Eric T. Beeson ◽  
Laura K. Jones
Keyword(s):  
Mental Health ◽  
Clinical Practice ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Depressive Disorders ◽  
Behavioral Therapy ◽  
Mental Health Counseling ◽  
Cognitive Behavior ◽  
Health Counseling ◽  
Conventional Models

The field of neuroscience has influenced revisions to conventional models of cognitive behavioral therapy (CBT). In the mental health counseling field, a conceptual model of neuroscience-informed cognitive-behavior therapy (n-CBT) was first published in the Journal of Mental Health Counseling in 2015. The present article reviews findings from the first six months of a year-long pilot study that examined counselor and client use and perceptions of n-CBT following application in clinical practice settings. Counselors reported successful alleviation of client symptomatology with n-CBT, particularly anxiety and depressive disorders. Counselors and clients also held similar and consistently high perceptions of n-CBT's credibility and the likelihood of improvement when using the model.

Randomized controlled trial of digital cognitive behavior therapy for prenatal insomnia symptoms: Effects on postpartum insomnia and mental health

SLEEP ◽  
2021 ◽  
Author(s):  
Jennifer N Felder ◽  
Elissa S Epel ◽  
John Neuhaus ◽  
Andrew D Krystal ◽  
Aric A Prather
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Symptom Severity ◽  
Standard Care ◽  
Anxiety Symptom ◽  
Controlled Trial ◽  
Cognitive Behavior ◽  
Insomnia Symptom

Abstract Study objectives To evaluate the effects of digital cognitive behavior therapy for insomnia (dCBT-I) delivered during pregnancy on subjective sleep outcomes, depressive symptoms, and anxiety symptoms through six months postpartum. Methods People up to 28 weeks gestation (N=208) with insomnia were randomized to six weekly sessions of dCBT-I or standard care. We report follow-up data at three and six months postpartum. The primary outcome was insomnia symptom severity. Secondary sleep outcomes included global sleep quality and insomnia caseness. Mental health outcomes included depressive and anxiety symptom severity. We evaluated between-condition differences in change from baseline for each postpartum timepoint and categorical outcomes. Results dCBT-I participants did not experience significantly greater improvements in insomnia symptom severity relative to standard care participants, but they did experience higher rates of insomnia remission and lower rates of insomnia caseness at six months postpartum. dCBT-I participants experienced greater improvements in depressive symptom severity from baseline to both postpartum timepoints, and in anxiety symptom severity from baseline to three months postpartum. The proportion of participants with probable major depression at three months postpartum was significantly higher among standard care (18%) than dCBT-I (4%, p=.006) participants; this between-condition difference was pronounced among the subset (n=143) with minimal depressive symptoms at baseline (18% vs 0%). Conclusion dCBT-I use during pregnancy leads to enduring benefits for postpartum insomnia remission. Findings provide strong preliminary evidence that dCBT-I use during pregnancy may prevent postpartum depression and anxiety, which is notable when considering the high frequency and importance of these problems.

scholarly journals Comparison between the efficiency of pharmacotherapy and cognitive behavioral therapy in reducing captagon (fenethylline) dependence and relapse prevention

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S164-S164
Author(s):  
Mohammed Binnwejim ◽  
Atheer Alhumade ◽  
Deiaaeldin Hosny ◽  
Mohamed Alhabib
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Relapse Prevention ◽  
Behavioral Therapy ◽  
Automatic Thoughts ◽  
Cognitive Behavioral ◽  
Cognitive Behavior ◽  
Significant Discrepancy

AimsTo examine the therapeutic efficacy and effectiveness of cognitive behavior therapy and pharmacotherapy in the treatment of Major Captagon (Fenethylline) Dependence.MethodA 41 outpatients males selected for the study, diagnosed as they are suffering from Captagon Dependence according to the DSM-5, with mean age 34.58 ± 5.11. The sample was divided into three experimental groups, (A) (N = 14) treated by cognitive behavior therapy (CBT) and pharmacotherapy in combination. (B) (N = 13) treated by CBT alone. (C) (N = 14) treated by pharmacotherapy alone. All groups were assigned to four measurements, one for the baseline before any treatment interventions, one post-treatment evaluation and two for follow-up within a short and long time. Non-parametric statistics were used to analyze the data collected by SPSS.ResultThere is no significant intra-group differences were found in terms of baseline assessment. There was no significant discrepancy between the first and the second group except in the term of reducing Captagon craving, as it was clearer in the first group in comparison with other groups. There was a clear significant discrepancy between the first and third groups, for all the study variables and it is phases of assessment especially follow-up. There was a clear degree of differences among the second and the third group, through the different phases of post-assessment, which refers to the great efficacy and effectiveness of CBT in Treating Captagon Dependence CBT was proved to be more effective than pharmacotherapy in the treatment of Captagon Dependence. The combination of CBT and pharmacotherapy was more effective than each other alone in the treatment of Captagon Dependence and Relapse Prevention.ConclusionAvailable evidence suggests that cognitive–behavioral therapy is an effective intervention method for psychological aspects of automatic thoughts, depression, negative health beliefs, craving, and relapse prevention, although its efficacy in reducing Captagon (Fenethylline) dependence.

scholarly journals The Effect of Cognitive Behavioral Therapy on Self-Management and Self-Care Behaviors of Type 2 Diabetes Mellitus Patients

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jenny Marlindawani Purba ◽  
Hanna Ester Empraninta
Keyword(s):  
Diabetes Mellitus ◽  
Cognitive Behavioral Therapy ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Behavioral Therapy ◽  
Self Care ◽  
Self Management ◽  
Cognitive Behavior ◽  
Type 2 Dm

<p><em>Diabetes mellitus (DM) is the condition of metabolism affected by chronic hyperglycemia (the increase of glucose levels in the blood) caused by insulin secretion defect. One of the non-pharmacological therapies used to decrease the type 2 DM is cognitive behavioral therapy. The objective of the research was to identify the effect of Cognitive Behavior Therapy (CBT) on self management and self-care behaviors of type 2 DM patients. The research used a quasi-experimental method with a two</em><em>-</em><em>group pretest-posttest design. The samples were 70 respondents with 35 of them were in the intervention group and the other 35 were in the control group, taken by using a consecutive sampling technique. The data were gathered using the Diabetes Self-Management Questionnaires (DSMQ) and the Summary of Diabetes Self-Care Activities (SDSCA) questionnaires. The gathered data were analyzed by using paired t-test, and independent t-test. The results of the study showed that there were significantly differences of mean scores of self management and self care behaviors between intervention and control groups </em>(<em>t</em>=13.24; <em>p</em>=0.00) and<em>(t=14.63,</em><em></em><em>p=0.00), respectively. It is recommended that cognitive behavior therapy can be used as one of the non-pharmacological therapies</em><em></em><em>to change self-care behaviors in type 2 DM patients.</em></p>

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