Research Library

This study examined longitudinal association between a young person’s self-perceptions of quality of life and mental health difficulties and referral to specialist CAMHS service using a population cohort study (Targeted Mental Health in Schools service data) nested within a large-scale linkage between school (National Pupil Data base) and child mental health service administrative data (South London and Maudsley NHS Foundation Trust children and adolescent mental health services health records). Authors: Yoon, Y., Deighton, J., Wickersham, A., Edbrooke-Childs, J., Osborn, D., Viding, E., Downs, J (2021).

The aim of this study was to develop a self-report measure of practitioner attitudes to ROM in order to better understand the barriers to successful implementation in Child and Adolescent Mental Health Services (CAMHS). Authors: Bear, H., Dalzell, K., Edbrooke-Childs, J. and Wolpert, M. (2021).

This evaluation aims to describe the acceptability, engagement, and preliminary outcomes of using an app (Paradym) designed to promote emotional well-being and positive mental health. Authors: Eisenstadt, A., Liverpool, S., Metaxa, A., Ciuvat, R. M., & Carlsson, C. (2021).

Internationally, there is a wealth of research suggesting that many children and young people experience mental health problems. However, the evidence from low- and middle-income countries and developing nations is generally limited. This scoping review aimed to add to the body of evidence by providing an overview of the available research literature on children and young people’s (CYP’s) mental health in the English-speaking Caribbean region. Authors: Liverpool, S., Pereira, B., Pollard, M., Prescod, J. & Trotman, C. (2021).

Idiographic patient-reported outcome measures (I-PROMs) are a growing set of individualised tools for use in routine outcome monitoring (ROM) in psychological therapies. This paper presents a position statement on their conceptualisation, use and analysis, based on contemporary evidence and clinical practice. Authors: Sales, C. M. D., Ashworth, M., Ayis, S., Barkham, M., Edbrooke‐Childs, J., Faísca, L., Jacob. J, Xu. D, Cooper, M. (2002).

We examined the predictors of treatment outcome or improvement in mental health difficulties for young people accessing child and adolescent mental health services. Authors: Edbrooke-Childs, J., Rashid, A., Ritchie, B., & Deighton, J. (2022).

We investigated special education needs (SEN) as a risk factor for absenteeism. For 418,455 mainstream secondary school students from 151 local authorities in England, multilevel linear regression models were run to investigate the association between SEN, SEN types and absenteeism during their secondary school period from year 7 to year 11. Authors: Lereya, T., Cattan, S, Yoon, Y., Gilbert, R. & Deighton, J. (2022).

Evidence suggests that clinicians are less accurately able to predict patient outcomes using clinical judgement alone, particularly when a patient is veering off a projected track of progress. It is also important to consider the differences between the use of measures and the use of measures with feedback: of incorporating discussion about the measurement questions, and areas of tracking focus, into the work with young people, and families/carers, as relevant. Authors: Jacobs, J. & Edbrooke-Childs, J. (2022).

Ideal-type analysis is a relatively new addition to the family of qualitative research methods, which offers a systematic, rigorous method for constructing typologies from qualitative data. This article is a summary of our approach to conducting ideal-type analysis. We hope that this article will help researchers to consider whether using ideal-type analysis may be a suitable approach for their own studies. Authors: Stapley, E., O'Keefe, S. & Midgley, N. (2022).