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A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety

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ARTICLE OPEN A pragmatic randomized waitlist-controlled effectiveness and cost-effectiveness trial of digital interventions for depression and anxiety Derek Richards 1,2 ✉ , Angel Enrique 1,2 , Nora Eilert 1,2 , Matthew Franklin 3 , Jorge Palacios 1,2 , Daniel Duffy 1,2 , Caroline Earley 1,2 , Judith Chapman 4 , Grace Jell 4 , Sarah Sollesse 4 and Ladislav Timulak 1 Utilization of internet-delivered cognitive behavioural therapy (iCBT) for treating depression and anxiety disorders in stepped-care models, such as the UK's Improving Access to Psychological Therapies (IAPT), is a potential solution for addressing the treatment gap in mental health. We investigated the effectiveness and cost-effectiveness of iCBT when fully integrated within IAPT stepped- care settings. We conducted an 8-week pragmatic randomized controlled trial with a 2:1 (iCBT intervention: waiting-list) allocation, for participants referred to an IAPT Step 2 service with depression and anxiety symptoms (Trial registration: ISRCTN91967124). The primary outcomes measures were PHQ-9 (depressive symptoms) and GAD-7 (anxiety symptoms) and WSAS (functional impairment) as a secondary outcome. The cost-effectiveness analysis was based on EQ-5D-5L (preference-based health status) to elicit the quality-adjust life year (QALY) and a modified-Client Service Receipt Inventory (care resource-use). Diagnostic interviews were administered at baseline and 3 months. Three-hundred and sixty-one participants were randomized (iCBT, 241; waiting-list, 120). Intention-to-treat analyses showed significant interaction effects for the PHQ-9 (b = −2.75, 95% CI −4.00, −1.50) and GAD-7 (b = −2.79, 95% CI −4.00, −1.58) in favour of iCBT at 8-week and further improvements observed up to 12-months. Over 8-weeks the probability of cost-effectiveness was 46.6% if decision makers are willing to pay £30,000 per QALY, increasing to 91.2% when the control-arm's outcomes and costs were extrapolated over 12-months. Results indicate that iCBT for depression and anxiety is effective and potentially cost-effective in the long-term within IAPT. Upscaling the use of iCBT as part of stepped care could help to enhance IAPT outcomes. The pragmatic trial design supports the ecological validity of the findings. npj Digital Medicine (2020) 3:85 ; https://doi.org/10.1038/s41746-020-0293-8 INTRODUCTION Stepped-care models have been proposed as a potential solution 1 to bridge the substantial gap between the prevalence of common mental health disorders, including depression and anxiety, and the access rates for evidence-based treatments 2,3 . Stepped-care seeks to up-scale treatment initiatives by matching treatment intensity and duration to clients' presenting needs, thereby optimizing outcomes and service capacity utilization. Investing in upscaling initiatives for mental health treatments is projected to produce large returns at a benefit-to-cost ratio of 3.3–5.7 to 1 when accounting for economic benefits and the value of health returns 4 . The Improving Access to Psychological Therapies (IAPT) programme in the UK is one of the first examples of a mental health stepped-care model implemented nationwide 5 . IAPT services offer evidence-based treatments to individuals experiencing depression and/or anxiety, providing low-intensity interventions alongside traditional treatments (e.g. face-to-face therapy) 5 . Specifically, at Step 2, low-intensity interventions are offered to patients presenting with mild to moderate depression and anxiety symptoms, while those with more severe or complex presentations of depression and anxiety are assigned to step 3 high-intensity treatments. Low-intensity interventions include empirically established treatments like guided bibliotherapy and internet-delivered cognitive behavioural therapy (iCBT). Similar multicomponent models of care exist in other countries, such as the collaborative care models in the USA 6 . A key aspect of IAPT is routine outcome monitoring, which is used to improve individual clinical outcomes by aiding ongoing treatment decisions, but also to establish publicly available service-level clinical performance reports 7 . In the period 2018–19, IAPT received 1.6 million new referrals, of which 1.09 million were seen at least once for assessment and guidance and 582,556 received a course of therapy (defined as two or more sessions) 8 . Political and policy initiatives that helped establish IAPT promised significant economic benefits, claiming that making evidence-based psychological treatments available would have no net cost to the Treasury 9 , yet envisioned economical returns from IAPT remain debated 10 . Internet-delivered interventions may be one way to improve IAPT outcomes in a cost-effective way 11 . However, currently iCBT accounts for only 7% of treatments completed within IAPT 8 . Clark et al. found that amongst services that achieve lower treatment rates, engaging more users in treatment could improve recovery and reliable improvement by 33% and 90%, respectively 7 , highlighting the potential for increased use of iCBT within IAPT to help achieve this aim. Generally, iCBT for depression and anxiety has been found to significantly reduce symptoms and produce medium to large effect sizes at post-treatment, with a maintenance of effects at follow-up 12 . As a result, iCBT has established itself as a viable mode of treatment for depression and anxiety. Still, most research has explored iCBT's efficacy under more controlled settings, with effectiveness trials in routine care finding mixed outcomes 12,13 . 1 University of Dublin, Trinity College, School of Psychology, E-mental Health Research Group, Dublin, Ireland. 2 Clinical Research & Innovation, SilverCloud Health, Dublin, Ireland. 3 HEDS, ScHARR, University of Sheffield, Sheffield, England. 4 Berkshire Healthcare NHS Foundation Trust, London, Berkshire, England. ✉ email: derek.richards@tcd.ie www.nature.com/npjdigitalmed Scripps Research Translational Institute 1234567890():,;

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