Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults:a protocol of the StayFine RCT

INTRODUCTION: Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience. METHOD AND ANALYSIS: In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13–21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes. ETHICS, FUNDING AND DISSEMINATION: The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05551468; NL8237

Congruency of multimodal data-driven personalization with shared decision-making for StayFine:individualized app-based relapse prevention for anxiety and depression in young people

Tailoring interventions to the individual has been hypothesized to improve treatment efficacy. Personalization of target-specific underlying mechanisms might improve treatment effects as well as adherence. Data-driven personalization of treatment, however, is still in its infancy, especially concerning the integration of multiple sources of data-driven advice with shared decision-making. This study describes an innovative type of data-driven personalization in the context of StayFine, a guided app-based relapse prevention intervention for 13- to 21-year-olds in remission of anxiety or depressive disorders ( n = 74). Participants receive six modules, of which three are chosen from five optional modules. Optional modules are Enhancing Positive Affect, Behavioral Activation, Exposure, Sleep, and Wellness. All participants receive Psycho-Education, Cognitive Restructuring, and a Relapse Prevention Plan. The personalization approach is based on four sources: (1) prior diagnoses (diagnostic interview), (2) transdiagnostic psychological factors (online self-report questionnaires), (3) individual symptom networks (ecological momentary assessment, based on a two-week diary with six time points per day), and subsequently, (4) patient preference based on shared decision-making with a trained expert by experience. This study details and evaluates this innovative type of personalization approach, comparing the congruency of advised modules between the data-driven sources (1-3) with one another and with the chosen modules during the shared decision-making process (4). The results show that sources of data-driven personalization provide complementary advice rather than a confirmatory one. The indications of the modules Exposure and Behavioral Activation were mostly based on the diagnostic interview, Sleep on the questionnaires, and Enhancing Positive Affect on the network model. Shared decision-making showed a preference for modules improving positive concepts rather than combating negative ones, as an addition to the data-driven advice. Future studies need to test whether treatment outcomes and dropout rates are improved through personalization. </p

Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: A protocol of the StayFine RCT

Introduction Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience. Method and analysis In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13-21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes. Ethics, funding and dissemination The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences. Trial registration number NCT05551468; NL8237

Meta-Analysis: Relapse Prevention Strategies for Depression and Anxiety in Remitted Adolescents and Young Adults

Objective: Depression and anxiety cause a high burden of disease and have high relapse rates (39%-72%). This meta-analysis systematically examined effectiveness of relapse prevention strategies on risk of and time to relapse in youth who remitted. Method: PubMed, PsycInfo, Embase, Cochrane, and ERIC databases were searched up to June 15, 2021. Eligible studies compared relapse prevention strategies to control conditions among youth (mean age 13-25 years) who were previously depressed or anxious or with ≥30% improvement in symptoms. Two reviewers independently assessed titles, abstracts, and full texts; extracted study data; and assessed risk of bias and overall strength of evidence. Random-effects models were used to pool results, and mixed-effects models were used for subgroup analyses. Main outcome was relapse rate at last follow-up (PROSPERO ID: CRD42020149326). Results: Of 10 randomized controlled trials (RCTs) that examined depression, 9 were eligible for analysis: 4 included psychological interventions (n = 370), 3 included antidepressants (n = 80), and 2 included combinations (n = 132). No RCTs for anxiety were identified. Over 6 to 75 months, relapse was half as likely following psychological treatment compared with care as usual conditions (k = 6; odds ratio 0.56, 95% CI 0.31 to 1.00). Sensitivity analyses including only studies with ≥50 participants (k = 3), showed similar results. Over 6 to 12 months, relapse was less likely in youth receiving antidepressants compared with youth receiving pill placebo (k = 3; OR 0.29, 95% CI 0.10 to 0.82). Quality of studies was suboptimal. Conclusion: Relapse prevention strategies for youth depression reduce risk of relapse, although adequately powered, high-quality RCTs are needed. This finding, together with the lack of RCTs on anxiety, underscores the need to examine relapse prevention in youth facing these common mental health conditions

Accounting for financial sustainability. Different local governments choices in different governance settings

The chapter discusses Financial Sustainability (FS) in relation with governance setting for service delivery adopted by Local Governments (LGs). The changing corporate governance setting in public entities and their relationships with other entities that are co-makers in service delivery requires a wider vision of FS, encompassing all entities involved. The chapter aims to analyze how specific accounting tools and techniques can assist in the control of a LG’s FS based on the governance setting adopted for service delivery. More precisely, a standard accounting tool or technique to detect fiscal distress would not be effective for all LGs. Through the analysis of five case studies, the chapter demonstrates that promoting FS requires the adoption of accounting tools and techniques consistent with the governance model adopte