Computerised Cognitive Behavioural Therapy for Common Mental Health Disorders, What Works, for Whom Under What Circumstances? A Systematic Review and Meta-analysis

2013 ◽  
Vol 43 (4) ◽  
pp. 243-251 ◽  
Author(s):  
Rebecca Grist ◽  
Kate Cavanagh

2018 ◽  
Vol 8 (2) ◽  
pp. 145-163 ◽  
Author(s):  
Melita Sogomonjan ◽  
Tanel Kerikmäe ◽  
Pille Ööpik

AbstractIn the context of the EU’s Digital Single Market (eHealth) Strategy, the deployment of digital tools for patients’ empowerment and person-centred care is of high demand and importance. Shifting from treatment to health promotion and disease prevention, a variety of internet-based cognitive behavioural therapy programmes have been proven to be effective for managing common mental health disorders in secondary care even hough the effectiveness and the clinical use of internet-based cognitive behavioural therapy programmes alone in primary care have not been approved yet. Additionally, such interventions are neither included in the international clinical guidelines for treating common mental health disorders nor regulated by Member States as a healthcare service. Despite that, the UK National Health Service and the Swedish National Board of Health and Welfare endorse the use of internet-based cognitive behavioural therapy as a first treatment option. The aim of this research is to investigate the global experience of internet-based cognitive behavioural therapy programmes in controlled and real-life conditions in general practice and to evaluate the reliability of the results and concomitantly their compliance with the European Commission’s eHealth Strategy. A systematic review of quantitative studies was conducted from January 2007 to December 2017. The results indicated that unsupported internet-based cognitive behavioural therapy programmes alone are less effective than combined therapy options for treatment purposes, if no additional therapy is prescribed. Guided internet-based cognitive behavioural therapy may supplement traditional treatment methods resulting in improving the control of mental disorders, but are unable to demonstrate consistent quality or replace face-to-face therapy.



Author(s):  
Harry Banyard ◽  
Alex J. Behn ◽  
Jaime Delgadillo

Abstract Background Previous reviews indicate that depressed patients with a comorbid personality disorder (PD) tend to benefit less from psychotherapies for depression and thus personality pathology needs to be the primary focus of treatment. This review specifically focused on studies of Cognitive Behavioural Therapy (CBT) for depression examining the influence of comorbid PD on post-treatment depression outcomes. Methods This was a systematic review and meta-analysis of studies identified through PubMed, PsychINFO, Web of Science, and Scopus. A review protocol was pre-registered in the PROSPERO database (CRD42019128590). Results Eleven eligible studies (N = 769) were included in a narrative synthesis, and ten (N = 690) provided sufficient data for inclusion in random effects meta-analysis. All studies were rated as having “low” or “moderate” risk of bias and there was no significant evidence of publication bias. A small pooled effect size indicated that patients with PD had marginally higher depression severity after CBT compared to patients without PD (g = 0.26, [95% CI: 0.10, 0.43], p = .002), but the effect was not significant in controlled trials (p = .075), studies with low risk of bias (p = .107) and studies that adjusted for intake severity (p = .827). Furthermore, PD cases showed symptomatic improvements across studies, particularly those with longer treatment durations (16–20 sessions). Conclusions The apparent effect of PD on depression outcomes is likely explained by higher intake severity rather than treatment resistance. Excluding these patients from evidence-based care for depression is unjustified, and adequately lengthy CBT should be routinely offered.







2018 ◽  
Vol 7 (12) ◽  
pp. 543 ◽  
Author(s):  
Sarvenaz Esmaeelzadeh ◽  
John Moraros ◽  
Lilian Thorpe ◽  
Yelena Bird

Background: The purpose of this systematic review was to examine the association and directionality between mental health disorders and substance use among adolescents and young adults in the U.S. and Canada. Methods: The following databases were used: Medline, PubMed, Embase, PsycINFO, and Cochrane Library. Meta-analysis used odds ratios as the pooled measure of effect. Results: A total of 3656 studies were screened and 36 were selected. Pooled results showed a positive association between depression and use of alcohol (odds ratio (OR) = 1.50, 95% confidence interval (CI): 1.24–1.83), cannabis (OR = 1.29, 95% CI: 1.10–1.51), and tobacco (OR = 1.65, 95% CI: 1.43–1.92). Significant associations were also found between anxiety and use of alcohol (OR = 1.54, 95% CI: 1.19–2.00), cannabis (OR = 1.36, 95% CI: 1.02–1.81), and tobacco (OR = 2.21, 95% CI: 1.54–3.17). A bidirectional relationship was observed with tobacco use at baseline leading to depression at follow-up (OR = 1.87, CI = 1.23–2.85) and depression at baseline leading to tobacco use at follow-up (OR = 1.22, CI = 1.09–1.37). A unidirectional relationship was also observed with cannabis use leading to depression (OR = 1.33, CI = 1.19–1.49). Conclusion: This study offers insights into the association and directionality between mental health disorders and substance use among adolescents and young adults. Our findings can help guide key stakeholders in making recommendations for interventions, policy and programming.



2019 ◽  
Vol 47 ◽  
pp. 90-102 ◽  
Author(s):  
Laura J. Mitchell ◽  
Lampros Bisdounis ◽  
Andrea Ballesio ◽  
Ximena Omlin ◽  
Simon D. Kyle


Sign in / Sign up

Export Citation Format

Share Document