risk Factors
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Risk Practices in CAMHS: Exploring Risk Rates and Profiles at Intake
In this Papers Podcast, Dr. Barry Coughlan discusses his JCPP Advances paper ‘Risk rates and profiles at intake in child and adolescent mental health services: A cohort and latent class analyses of 21,688 young people in South London’. Barry is the lead author of the paper. There is an overview of the paper, methodology, key findings, and implications for practice.
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CAMH Editorial: Volume 26, Issue 3, September 2021
With the patchy but increasing roll-out of the COVID-19 vaccine, and as the world begins to emerge in a bumpy fashion from strict lock-downs, the frightening experience of overwhelmed hospitals and alarmingly high mortality rates from COVID-19, we are beginning to take stock of the huge toll from the pandemic.
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A machine learning approach identifies unique predictors of borderline personality disorder
Researchers in the USA have identified critical predictors of borderline personality disorder (BPD) in late adolescence, using a machine learning approach. Joseph Beeney and colleagues harnessed data from a large, prospective, longitudinal dataset of >2,400 girls who were evaluated yearly for various clinical, psychosocial and demographic factors.
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CAMH Editorial: Volume 22, Issue 4, November 2017
“Global child mental health – emerging challenges and opportunities” by Panos Vostanis.
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