Centre for Youth Mental Health - Research Publications
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ItemComparative efficacy and tolerability of first-generation and newer-generation antidepressant medications for depressive disorders in children and adolescents: study protocol for a systematic review and network meta-analysis.(BMJ, 2015-09-09)INTRODUCTION: Depressive disorders are among the most common psychiatric disorders in children and adolescents, and have adverse effects on their psychosocial functioning. Questions concerning the efficacy and safety of antidepressant medications in the treatment of depression in children and adolescents, led us to integrate the direct and indirect evidence using network meta-analysis to create hierarchies of these drugs. METHODS AND ANALYSIS: Seven databases with PubMed, EMBASE, the Cochrane Library, Web of Science, CINAHL, LiLACS and PsycINFO will be searched from 1966 to December 2013 (updated to May, 2015). There are no restrictions on language or type of publication. Randomised clinical trials assessing first-generation and newer-generation antidepressant medications against active comparator or placebo as acute treatment for depressive disorders in children and adolescents (under 18 years of age) will be included. The primary outcome for efficacy will be mean improvement in depressive symptoms, as measured by the mean change score of a depression rating scale from baseline to post-treatment. The tolerability of treatment will be defined as side effect discontinuation, as defined by the proportion of patients who discontinued treatment due to adverse events during the trial. We will also assess the secondary outcome for efficacy (response rate), acceptability (all-cause discontinuation) and suicide-related outcomes. We will perform the Bayesian network meta-analyses for all relative outcome measures. Subgroup analyses and sensitivity analyses will be conducted to assess the robustness of the findings. DISSEMINATION: The network meta-analysis will provide useful information on antidepressant treatment for child and adolescent depression. The results will be disseminated through peer-reviewed publication or conference presentations. TRIAL REGISTRATION NUMBER: PROSPERO CRD42015016023.
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ItemOpen-access evidence database of controlled trials and systematic reviews in youth mental health(WILEY, 2018-06)AIM: To present an update to an evidence-mapping project that consolidates the evidence base of interventions in youth mental health. To promote dissemination of this resource, the evidence map has been translated into a free online database (https://orygen.org.au/Campus/Expert-Network/Evidence-Finder or https://headspace.org.au/research-database/). Included studies are extensively indexed to facilitate searching. METHODS: A systematic search for prevention and treatment studies in young people (mean age 6-25 years) is conducted annually using Embase, MEDLINE, PsycINFO and the Cochrane Library. Included studies are restricted to controlled trials and systematic reviews published since 1980. RESULTS: To date, 221 866 publications have been screened, of which 2680 have been included in the database. Updates are conducted annually. CONCLUSIONS: This shared resource can be utilized to substantially reduce the amount of time involved with conducting literature searches. It is designed to promote the uptake of evidence-based practice and facilitate research to address gaps in youth mental health.
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ItemDevelopment of an implementation guide to facilitate the roll-out of early intervention services for psychosis(WILEY, 2018-12)AIM: Our aim was to develop an implementation guide that was informed by an analysis of context-specific barriers and enablers, behaviour change theory, as well as evidence about the effects of implementation interventions, for the establishment and scaling up of an early intervention model for psychosis (called Early Psychosis Prevention and Intervention Centre (EPPIC)). METHODS: We used a systematic approach involving four steps. First, the target behaviours of the EPPIC model for implementation were specified. Second, a consultation was undertaken to explore the barriers and enablers to undertaking these priority minimum standard clinical behaviours. Third, an implementation strategy that included a range of behaviour change techniques tailored to address the identified barriers was developed. Finally, a tool to assess whether those implementing the EPPIC model maintained fidelity to the implementation strategy was designed. RESULTS: We identified a range of barriers that could act to dilute the core components of the EPPIC model and compromise its implementation. An implementation strategy using theory and evidence-based strategies for behaviour change was designed to address these barriers. CONCLUSIONS: The process we used in the development of the implementation strategy provided a unique opportunity to consider the essential areas to cover, how to make information easily understandable and accessible while noting the complexity of issues involved in not only implementation, but also the scaling up of the EPPIC model for services.
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ItemA systematic review and meta-analysis of prospective transition from major depression to bipolar disorder(WILEY, 2017-04)OBJECTIVE: Some people with major depressive disorder (MDD) may be at a pre-onset stage for bipolar disorder (BD), where early identification or prevention efforts may be feasible. We aimed to identify rates and characteristics predictive of transition to BD in prospective follow-up studies of people with MDD. METHODS: Using a systematic search strategy, we identified studies with a diagnostic ascertainment of MDD and BD of an adequate standard, and where the minimum length of follow-up was 6 months. We examined the incidence and point prevalence of BD and the pooled odds ratios (OR) for baseline predictors. RESULTS: From 5554 unique publications, 56 were included. Nearly a quarter of adults (22.5%) and adolescents with MDD followed up for a mean length of 12-18 years developed BD, with the greatest risk of transition being in the first 5 years. The meta-analysis identified that transition from MDD to BD was predicted by family history of BD (OR = 2.89, 95% CI: 2.01-4.14, N = 7), earlier age of onset of depression (g = -0.33, SE = 0.05, N = 6) and presence of psychotic symptoms (OR = 4.76, 95% CI: 1.79-12.66, N = 5). CONCLUSIONS: Participants with the identified risk factors merit closer observation and may benefit from prevention efforts, especially if outcomes broader than BD are considered.
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ItemModerated online social therapy for depression relapse prevention in young people: pilot study of a "next generation' online intervention(WILEY, 2018-08)AIM: Implementation of targeted e-mental health interventions offers a promising solution to reducing the burden of disease associated with youth depression. A single-group pilot study was conducted to evaluate the acceptability, feasibility, usability and safety of a novel, moderated online social therapy intervention (entitled Rebound) for depression relapse prevention in young people. METHODS: Participants were 42 young people (15-25 years) (50% men; mean age = 18.5 years) in partial or full remission. Participants had access to the Rebound platform for at least 12 weeks, including the social networking, peer and clinical moderator and therapy components. RESULTS: Follow-up data were available for 39 (92.9%) participants. There was high system usage, with 3034 user logins (mean = 72.2 per user) and 2146 posts (mean = 51.1). Almost 70% of users had ≥10 logins over the 12 weeks, with 78.5% logging in over at least 2 months of the pilot. A total of 32 (84%) participants rated the intervention as helpful. There was significant improvement between the number of participants in full remission at baseline (n = 5; none of whom relapsed) relative to n = 19 at 12-week follow-up (P < 0.001). Six (14.3%) participants relapsed to full threshold symptoms at 12 weeks. There was a significant improvement to interviewer-rated depression scores (Montgomery-Asberg Depression Rating Scale (MADRS); P = 0.014, d = 0.45) and a trend for improved strength use (P = 0.088, d = 0.29). The single-group design and 12-week treatment phase preclude a full understanding of the clinical benefits of the Rebound intervention. CONCLUSIONS: The Rebound intervention was shown to be acceptable, feasible, highly usable and safe in young people with major depression.
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ItemNew generation antidepressants for depression in children and adolescents: a network meta-analysis (Protocol)(Wiley, 2020-07-09)Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. To investigate, via network meta-analyses (NMA), the comparative effectiveness and safety of different newer generation antidepressants in children and adolescents with a diagnosed major depressive disorder (MDD). Specific objectives, in order of priority, are to:. estimate the relative effects of newer generation antidepressants compared with placebo and with each other on depression, functioning, suicide-related outcomes and other adverse outcomes; estimate the relative ranking of the included newer generation antidepressants for the outcomes of depression, functioning, suicide-related outcomes and other adverse outcomes; and, examine whether the relative effects on clinician-rated depression symptoms and suicide-related outcomes estimated in objectives 1 and 2 are modified by age, treatment duration, baseline severity and pharmaceutical industry funding of the antidepressant under evaluation.
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ItemCo-design of eHealth Interventions With Children and Young People.(Frontiers Media SA, 2018)Co-design, defined as collective creativity across the entire design process, can lead to the development of interventions that are more engaging, satisfying, and useful to potential users. However, using this methodology within the research arena requires a shift from traditional practice. Co-design of eHealth interventions with children and young people has additional challenges. This review summarizes the applied core principles of co-design and recommends techniques for undertaking co-design with children and young people. Three examples of co-design during the development of eHealth interventions (Starship Rescue, a computer game for treating anxiety in children with long-term physical conditions, a self-monitoring app for use during treatment of depression in young people, and HABITS, the development of an emotional health and substance use app, and eHealth platform for young people) are provided to illustrate the value and challenges of this contemporary process.
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ItemMaking decisions about treatment for young people diagnosed with depressive disorders: a qualitative study of clinicians' experiences(BMC, 2013-12-12)BACKGROUND: The imperative to provide effective treatment for young people diagnosed with depressive disorders is complicated by several factors including the unclear effectiveness of treatment options. Within this context, little is known about how treatment decisions are made for this population. METHODS: In order to explore the experiences and beliefs of clinicians about treatment decision making for this population, semi-structured, qualitative interviews were conducted with 22 psychiatrists, general practitioners and allied health professionals from health care settings including specialist mental health services and primary health care. Interviews were audio taped, transcribed verbatim and analysed using thematic analysis. RESULTS: Clinicians largely reported and endorsed a collaborative model of treatment decision making for youth depression, although several exceptions to this approach were also described (e.g., when risk issues were present), highlighting a need to adapt the decision-making style to the characteristics and needs of the client. A differentiation was made between the decision-making processes (e.g., sharing of information) and who makes the decision. Caregiver involvement was seen as optional, especially in situations where no caregivers were involved, but ideal and useful if the caregivers were supportive. Gaps between the type and amount of information clinicians wanted to give their clients and what they actually gave them were reported (e.g., having fact sheets on hand). A broad range of barriers to involving clients and caregivers in decision-making processes were described relating to four levels (client and caregiver, clinician, service and broader levels) and suggestions were given to help overcome these barriers, including up-to-date, accessible and relevant information. CONCLUSIONS: The current data support a collaborative model of treatment decision making for youth depression which: (1) focuses on the decision-making processes rather than who actually makes the decision; (2) is flexible to the individual needs and characteristics of the client; and (3) where caregiver involvement is optional. Shared decision making interventions and the use of decision aids should be considered for this area.
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ItemCharacterizing neurocognitive impairment in young people with major depression: state, trait, or scar?(WILEY, 2016-10)BACKGROUND: Major depressive disorder (MDD) affects a quarter of adolescents and young adults and is associated with the greatest global burden of disease in this population. There is a growing literature, mostly in adults, showing that significant neurocognitive impairments are common in MDD. It remains unclear whether these impairments are pre-existing trait markers of MDD, state-related impairments that fluctuate with depressive symptoms, or 'scar' impairments that worsen with illness progression. The aim of this study is to provide a conceptual framework for understanding MDD and neurocognitive impairment in adolescence and young adulthood (ages 12-25 years). METHOD: Examination of the evidence for neurocognitive deficits as trait, state, and scar features of MDD according to different study designs (family studies, premorbid studies, current depression, remitted depression, and longitudinal studies with repeated assessment) was conducted. RESULTS: The few premorbid and family studies conducted in youth provide equivocal evidence for neurocognitive impairments as trait markers of MDD. The presence of state-based neurocognitive impairment remains unclear as evidence comes mostly from cross-sectional studies. There are a limited, but growing number of longitudinal studies with repeated neurocognitive assessment in youth. Studies that examined neurocognition prior to the onset of MDD and with long-term follow-up provide tentative evidence for neurocognitive scarring. CONCLUSION: Neurocognitive impairment is a feature of MDD in adolescents and young adults. To better understand the nature, timing, and pattern of impairment, longitudinal studies that examine neurocognition before and after the development of full-threshold MDD, including following recurrence are needed. This knowledge will have important implications for mechanisms, prevention, and treatment of MDD in youth.