Digital
-
Technology Matters: Online, self-help single session interventions could expand current provision, improving early access to help for young people with depression symptoms, including minority groups
Open Access paper from the CAMH journal – ‘Current mental health service provision for young people was primarily designed based on an assumption of repeat attendance to enable access to interventions. This applies to in-person therapy and, in recent years, digitally provided apps and programmes. Yet, discontinuation after only one or two attendances or uses is a common problem. However, there is a different model, which is intentionally designing provision without assuming repeat attendance, that is, single session interventions.’ Maria E. Loades (pic) and Jessica L. Schleider
Read more -
Can we diagnose mental disorders in children? A large-scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study
Open Access paper from JCPP Advances – ‘Prediction of mental disorders based on neuroimaging is an emerging area of research with promising first results in adults. However, research on the unique demographic of children is underrepresented and it is doubtful whether findings obtained on adults can be transferred to children’. Richard Gaus (pic), Sebastian Pölsterl et al.
Read more -
Dr. Jennifer Martin
Dr. Jennifer Martin is Senior Programme Manager for Mental Health & Technology Research within NIHR MindTech MedTech Co-operative (MIC) at the University of Nottingham. She is an Associate Editor of CAMH, responsible for the Technology Matters section.
Read more -
The importance and challenges of improving early identification of language abilities: a commentary on Gasparini et al. (2023)
Open Access paper from the JCPP – ‘Finding early predictors of later language skills and difficulties is fraught with challenges because of the wide developmental variation in language. Gasparini et al. (Journal of Child Psychology and Psychiatry, 2023) aimed to address this issue by applying machine learning methods to parent reports taken from a large longitudinal database (Early Language in Victoria Study). This commentary highlights the advantages and challenges of identifying early predictors of language in this way, and discusses future directions that can build on this important contribution.’ Nicola Botting (pic) and Helen Spicer-Cain
Read more -
JCPP Editorial: Volume 64, Issue 02, February 2023
Editorial: ‘Therapies for mental health difficulties: finding the sweet spot between standardization and personalization’ by Alice M. Gregory, Martin K. Rutter, Juan J. Madrid-Valero, Sophie D. Bennett, Roz Shafran, Daniel J. Buysse.
Read more -
Age-related differences in social media use, online social support, and depressive symptoms in adolescents and emerging adults
Paper from the CAMH journal – ‘Using a cross-sectional sample of participants aged 14–22 years, we examined (a) linear and non-linear age-related changes in social media use and online social support and (b) age-related differences in the effects of social media use and online social support on depressive symptoms.’ Madison Politte-Corn et al.
Read more -
CAMH Special Issue – ‘Technology and Mental Health for Children and Adolescents: Pros and Cons’
We are delighted to announce the release of the CAMH 2023 Special Issue on ‘Technology and Mental Health for Children and Adolescents: Pros and Cons’, edited by Lina Gega, Jennifer Martin, Kapil Sayal, and Hiran Thabrew.
Read more -
Long-term clinical and cost-effectiveness of a therapist-supported online remote behavioural intervention for tics in children and adolescents: extended 12- and 18-month follow-up of a single-blind randomised controlled trial
Open Access paper from the JCPP- “Little is known about the long-term effectiveness of behavioural therapy for tics. We aimed to assess the long-term clinical and cost-effectiveness of online therapist-supported exposure and response prevention (ERP) therapy for tics 12 and 18 months after treatment initiation.” Chris Hollis (pic) et al.
Read more -
JCPP Editorial: Volume 64, Issue 01, January 2023
Editorial: ”Safety in numbers’? Big data discovery strategies in neuro-developmental science – contributions and caveats’ by Edmund J.S. Sonuga-Barke
Read more -
Technology Matters: Increasing access to evidence-based treatment for child anxiety problems: online parent-led CBT for children identified via schools
Open Access paper from the CAMH journal 2023 Special Issue – “Anxiety problems are extremely common and have an early age of onset. We previously found, in a study in England, that fewer than 3% of children with an anxiety disorder identified in the community had accessed an evidence-based treatment (Cognitive Behavioural Therapy; CBT)”. Iheoma Green (pic) et al.
Read more