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Using flawed, uncertain, proximate and sparse (FUPS) data in the context of complexity: learning from the case of child mental health
This paper presents an example of the use of a FUPS dataset in the complex system of child mental healthcare. The paper explores the use of this FUPS dataset to support meaningful dialogue between key stakeholders, including service providers, funders and users, in relation to outcomes of services. The term ‘FUPS’ is proposed to describe these flawed, uncertain, proximate and sparse datasets. Authors: Wolpert, M., Rutter, H. (2018).
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Evaluation of reliable improvement rates in depression and anxiety at the end of treatment in adolescents
The aim of this study was to consider how many adolescents report reliable improvement in anxiety, depression and comorbid depression and anxiety by end of treatment. Authors: Edbrooke-Childs, J., Wolpert, M., Zamperoni, V., Napelone, E., Bear, H. (2018).
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Mental health and wellbeing trends among children and young people in the UK, 1995-2014: Analysis of repeated cross-sectional health surveys
There is a growing concern about the mental health of children and young people (CYP) in the UK, with increasing demand for counselling services, admissions for self-harm and referrals to mental health services. We investigated whether there have been similar recent trends in selected mental health outcomes among CYP in national health surveys from England, Scotland and Wales. Authors: Pitchforth, J., Fahy, K., Ford, T., Wolpert, M., Viner, R. M., & Hargreaves, D. S. (2018).
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Barriers and facilitators to shared decision making in child and youth mental health: clinician perspectives using the Theorectial Domains Framework
Shared decision making (SDM) is increasingly being suggested as an integral part of mental health provision. Yet, there is little research on what clinicians believe the barriers and facilitators around practice to be. Authors: Hayes, D., Edbrooke-Childs, J., Town, R., Wolpert, M., Midgley, N. (2018).
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A qualitative exploration of the role of leadership in service transformation in child and adolescent mental health services
This study aimed to understand the role of local leaders and frontline practitioners in service transformation in child and adolescent mental health services. Authors: Edbrooke-Childs, J., Calderon, A., McDonnell, M., Hirvonen, H., Deighton, J., Wolpert, M. (2018).
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What outcomes count? A review of outcomes measured for adolescent depression between 2007 and 2017
This systematic review explored the extent to which multidimensional and multi-informant outcome measurements have been used in clinical research for adolescent depression in the past decade and how patterns have evolved over time. Authors: Krause, K., Bear, H., Edbrooke-Childs, J., & Wolpert, M. (2018).
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Maternal mental health at 5 years and childhood overweight or obesity at 11 years: evidence from the UK Millennium Cohort Study
We sought to determine whether children's exposure to medium or severe distress at 5 years was associated with increased risks of overweight and obesity when they were aged 11 years. We also investigated whether any association was attenuated after accounting for potential confounding and mediating factors. Authors: Hope, S., Micali, N., Deighton, J., Law, C. (2018).
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Facing Shadows: working with young people to coproduce a short film about depression
Here we describe and reflect on the four-day coproduction workshops in which researchers, young people and film-makers coproduced ‘Facing Shadows’, a short animation about depression and therapy. Authors: Dunn, V., O’Keeffe, S., Stapley, E., & Midgley, N. (2018).
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Strategies not accompanied by a mental health professional to address anxiety and depression in children and young people: a scoping review of range and a systematic review of effectiveness
This Review reports on a scoping review followed by a systematic review to consider interventions designed to address or manage depression or anxiety in children and young people up to the age of 25 years without the need to involve mental health professionals. Authors: Wolpert, M., Dalzell, K., Ullman, R., Garland, L., Cortina, M., Hayes, D., Patalay, P., & Law, D. (2018).