Department of Developmental Disability Neuropsychiatry (3DN)

Using big data to understand the predictors of repeated self-harm in people with mental health and drug and alcohol comorbidity

Project Main Description

Chronic use of alcohol and other drugs is one of the greatest risk factors for repeated self-harm and suicide. Very few studies have specifically focussed on preventing repeated presentation to acute health services and admission for self-harm specifically for people with drug and alcohol comorbidity. To best design such interventions a better understanding of the specific predictors of repeated self-harm in this population is necessary but under-researched. We will use big data to directly address this gap. Our work will facilitate the identification of those at greatest risk of repeated self-harm in people with mental health and drug and alcohol comorbidity, and enable the development of targeted interventions to reduce the risk of future self-harm and suicide.

 

Project Team

Dr Rachael Cvejic, Dr Kate Chitty (USyd), Prof Julian Trollor, Prof Nicholas Buckey (USyd), A/Prof Kirsten Morley (USyd), Dr Preeyaporn Srasuebkul, Prof Andrew Dawson (Sydney LHD), Prof Greg Carter (Hunter New England LHD), Dr Tess Heintze

 

Where the project is at

Data analyses for this project are underway

 

Future deliverables

Specific outcomes of this pilot project will include: pilot data to be included in funding applications to support project expansion; manuscripts targeting the scientific community; summaries for health professionals and services; plain English summaries for people with MH and DA comorbidity, family members and carers.

 

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