Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data (original) (raw)
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BMJ Open
IntroductionPsychotherapy is a complex intervention, consisting of various components and being implemented flexibly in consideration of individual patient’s characteristics. It is then of utmost importance to know which of the various components or combinations thereof are more efficacious, what their specific effect sizes are and which types of patients may benefit more from different components or their combinations.Methods and analysisInternet-delivered cognitive–behavioural therapy (iCBT) offers a unique opportunity to systematically review and quantitatively disentangle the efficacy of various components because, unlike face-to-face cognitive–behavioural therapy, it allows identification of constituent components that are actually delivered to patients. We will systematically identify all randomised controlled trials that compared any form of iCBT against another form or a control intervention in the acute phase treatment of adult depression. We will apply component network me...
Frontiers in Psychology, 2019
Background: Negative effects of psychological treatments have recently received increased attention in both research and clinical practice. Most investigations have focused on determining the occurrence and characteristics of deterioration and other adverse and unwanted events, such as interpersonal issues, indicating that patients quite frequently experience such incidents in treatment. However, non-response is also negative if it might have prolonged an ongoing condition and caused unnecessary suffering. Yet few attempts have been made to directly explore non-response in psychological treatment or its plausible causes. Internet-based cognitive behavior therapy (ICBT) has been found effective for a number of diagnoses but has not yet been systematically explored with regard to those patients who do not respond. Methods: The current study collected and aggregated data from 2,866 patients in 29 clinical randomized trials of ICBT for three categories of diagnoses: anxiety disorders, depression, and other (erectile dysfunction, relationship problems, and gambling disorder). Raw scores from each patient variable were used in an individual patient data meta-analysis to determine the rate of non-response on the primary outcome measure for each clinical trial, while its potential predictors were examined using binomial logistic regression. The reliable change index (RCI) was used to classify patients as non-responders. Results: Of the 2,118 patients receiving treatment, and when applying a RCI of z ≥ 1.96, 567 (26.8%) were classified as non-responders. In terms of predictors, patients with higher symptom severity on the primary outcome measure at baseline, Odds Ratio (OR) = 2.04, having a primary anxiety disorder (OR = 5.75), and being of male gender (OR = 1.80), might have higher odds of not responding to treatment. Conclusion: Non-response seems to occur among approximately a quarter of all patients in ICBT, with predictors related to greater symptoms, anxiety disorders, and Rozental et al. Non-response in Internet-Based CBT gender indicating increasing the odds of not responding. However, the results need to be replicated before establishing their clinical relevance, and the use of the RCI as a way of determining non-response needs to be validated by other means, such as by interviewing patients classified as non-responders.
BMJ Open
IntroductionAlthough guided forms of internet-based cognitive–behavioural therapy (iCBT) result in a substantial reduction in depression, it seems that the most scalable way to deliver iCBT is without guidance. However, direct evidence on the comparison between guided and self-guided iCBT is scarce. Moreover, it is unclear which types of patients may benefit more from each of these two forms of iCBT. Network meta-analysis (NMA) using individual participant data (IPD) offers a way to assess the relative efficacy of multiple (>2) interventions. Moreover, it maximises our power to detect patient-level characteristics (covariates) that have an important effect on the efficacy of interventions. This protocol describes the procedures of an IPD-NMA, which aims at examining the relative efficacy of guided compared with self-guided iCBT and at identifying predictors and moderators of treatment outcome.Methods and analysisWe will use an existing database on psychotherapies for adult depres...
Expert Review of Pharmacoeconomics & Outcomes Research, 2012
Internet-based cognitive behavior therapy (ICBT) is a promising treatment that may increase availability of cognitive behavior therapy (CBT) for psychiatric disorders and other clinical problems. The main objective of this study was to determine the applications, clinical efficacy and cost-effectiveness of ICBT. The authors conducted a systematic review to identify randomized controlled trials investigating CBT delivered via the internet for adult patient populations. Searches to identify studies investigating cost-effectiveness of ICBT were also conducted. Evidence status for each clinical application was determined using the American Psychologist Association criteria for empirically supported treatments. Of 1104 studies reviewed, 108 met criteria for inclusion, of which 103 reported on clinical efficacy and eight on cost-effectiveness. Results showed that ICBT has been tested for 25 different clinical disorders, whereas most randomized controlled trials have been aimed at depression, anxiety disorders and chronic pain. Internet-based treatments for depression, social phobia and panic disorder were classified as well-established, that is, meeting the highest level of criteria for evidence. Effect sizes were large in the treatment of depression, anxiety disorders, severe health anxiety, irritable bowel syndrome, female sexual dysfunction, eating disorders, cannabis use and pathological gambling. For other clinical problems, effect sizes were small to moderate. Comparison to conventional CBT showed that ICBT produces equivalent effects. Cost-effectiveness data were relatively scarce but suggested that ICBT has more than 50% probability of being cost effective compared with no treatment or to conventional CBT when willingness to pay for an additional improvement is zero. Although ICBT is a promising treatment option for several disorders, it can only be regarded as a well-established treatment for depression, panic disorder and social phobia. It seems that ICBT is as effective as conventional CBT for respective clinical disorder, that is, if conventional CBT works then ICBT works. The large effects and the limited therapist time required suggest that the treatment is highly cost effective for well-established indications.
Psychological medicine, 2018
Little is known about potential harmful effects as a consequence of self-guided internet-based cognitive behaviour therapy (iCBT), such as symptom deterioration rates. Thus, safety concerns remain and hamper the implementation of self-guided iCBT into clinical practice. We aimed to conduct an individual participant data (IPD) meta-analysis to determine the prevalence of clinically significant deterioration (symptom worsening) in adults with depressive symptoms who received self-guided iCBT compared with control conditions. Several socio-demographic, clinical and study-level variables were tested as potential moderators of deterioration. Randomised controlled trials that reported results of self-guided iCBT compared with control conditions in adults with symptoms of depression were selected. Mixed effects models with participants nested within studies were used to examine possible clinically significant deterioration rates. Thirteen out of 16 eligible trials were included in the pres...
BMC Cancer, 2017
Background: This RCT with two parallel arms will evaluate the efficacy of an internet-delivered transdiagnostic cognitive behavioural therapy (iCBT) intervention for the treatment of clinical depression and/or anxiety in early stage cancer survivors. Methods/design: Early stage cancer survivors will be recruited via the research arm of a not-for-profit clinical research unit and randomised to an intervention (iCBT) group or a 'treatment as usual' (TAU) control group. The minimum sample size for each group is 45 people (assuming effect size > 0.6, power of 80%, and alpha at .05), but 10% more will be recruited to account for attrition. A solitary or cumulative diagnosis(es) of Major Depressive Episode (current), Generalised Anxiety Disorder, Illness Anxiety Disorder, Panic Disorder, Agoraphobia, and/or Adjustment disorder will be determined using modules from the Anxiety Disorders Interview Schedule for DSM-5. Depression and anxiety levels with be measured via the total score of the Hospital Anxiety and Depression scale (HADS-T), the primary outcome measure. Secondary measures will include the Kessler 10 to measure general distress, the Fear of Cancer Recurrence Inventory (FCRI) to measure the specific fear of cancer recurrence and the Functional Assessment of Cancer Therapy, General Version 4 (FACT-G) for self-report of physical, social, emotional and functional well-being. iCBT participants will complete the measures before lessons 1 and 5, at post-treatment and at 3-month follow-up. The TAU group will complete similar measures at weeks 1, 8 and 16 of the waiting period. Program efficacy will be determined using intent-to-treat mixed models. Maintenance of gains will be assessed at 3-month follow-up. Mediation analyses using PROCESS will be used to examine the association between change in depressive and anxious symptoms over time and changes in FCRI and FACT-G QOL in separate analysis. Discussion: This is the first RCT looking at iCBT specifically for clinical depression and/or anxiety in a cancer population. Findings will help to direct the role of iCBT in streamlined psycho-social care pathways.
Australian & New Zealand Journal of Psychiatry, 2013
Background and Aim: Mild to moderate depression is common in those with cardiovascular disease and undertreated. We aimed to evaluate the effectiveness of internet-delivered Cognitive Behaviour Therapy (iCBT) on depressive symptom severity and adherence to medical advice and lifestyle interventions in adults with mild to moderate depression and high cardiovascular disease (CVD) risks.
BMJ Open, 2020
IntroductionApproximately one-third of adults with chronic pain also report clinically relevant levels of depression. Internet-delivered psychological therapies such as Cognitive Behavioural Therapy (iCBT) and Acceptance and Commitment Therapy (iACT) have been developed to overcome barriers of access to services and ensure the timely delivery of care. The objective of this trial is to collect data on feasibility, acceptability and range of probable effect sizes for iCBT and iACT interventions tailored towards the treatment of depression and chronic pain using a randomised controlled patient-preference design.Methods and analysisCommunity dwelling adults with chronic non-cancer pain (CNCP) and major depression will be recruited from pain clinics and primary care providers in Newfoundland and Labrador, Canada. The study is a randomised controlled patient-preference trial. Eligible patients will be randomly assigned to a ‘preference’ or ‘no-preference’ arm during the first step of rand...
A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students A Secondary Analysis of a Randomized Clinical Trial, 2023
IMPORTANCE Guided internet-delivered cognitive behavioral therapy (i-CBT) is a low-cost way to address high unmet need for anxiety and depression treatment. Scalability could be increased if some patients were helped as much by self-guided i-CBT as guided i-CBT. OBJECTIVE To develop an individualized treatment rule using machine learningmethods for guided i-CBT vs self-guided i-CBT based on a rich set of baseline predictors. DESIGN, SETTING, AND PARTICIPANTS This prespecified secondary analysis of an assessor-blinded, multisite randomized clinical trial of guided i-CBT, self-guided i-CBT, and treatment as usual included students in Colombia and Mexico who were seeking treatment for anxiety (defined as a 7-item Generalized Anxiety Disorder [GAD-7] score of10) and/or depression (defined as a 9-item Patient Health Questionnaire [PHQ-9] score of10). Study recruitment was from March 1 to October 26, 2021. Initial data analysis was conducted from May 23 to October 26, 2022. INTERVENTIONS Participants were randomized to a culturally adapted transdiagnostic i-CBT that was guided (n = 445), self-guided (n = 439), or treatment as usual (n = 435). MAIN OUTCOMES AND MEASURES Remission of anxiety (GAD-7 scores of4) and depression (PHQ-9 scores of4) 3 months after baseline. RESULTS The study included 1319 participants (mean [SD] age, 21.4 [3.2] years; 1038 women [78.7%]; 725 participants [55.0%] came from Mexico). A total of 1210 participants (91.7%) had significantly higher mean (SE) probabilities of joint remission of anxiety and depression with guided i-CBT (51.8%[3.0%]) than with self-guided i-CBT (37.8%[3.0%]; P = .003) or treatment as usual (40.0%[2.7%]; P = .001). The remaining 109 participants (8.3%) had low mean (SE) probabilities of joint remission of anxiety and depression across all groups (guided i-CBT: 24.5%[9.1%]; P = .007; self-guided i-CBT: 25.4%[8.8%]; P = .004; treatment as usual: 31.0%[9.4%]; P = .001). All participants with baseline anxiety had nonsignificantly higher mean (SE) probabilities of anxiety remission with guided i-CBT (62.7%[5.9%]) than the other 2 groups (self-guided i-CBT: 50.2%[6.2%]; P = .14; treatment as usual: 53.0%[6.0%]; P = .25). A total of 841 of 1177 participants (71.5%) with baseline depression had significantly higher mean (SE) probabilities of depression remission with guided i-CBT (61.5%[3.6%]) than the other 2 groups (self-guided i-CBT: 44.3%[3.7%]; P = .001; treatment as usual: 41.8%[3.2%]; P < .001). The other 336 participants (28.5%) with baseline depression had nonsignificantly higher mean (SE) probabilities of depression remission with self guided i-CBT (54.4%[6.0%]) than guided i-CBT (39.8%[5.4%]; P = .07).