CRESP recognises research excellence
Published: 6 March, 2017
A/Prof Matthew Spittal and Dr Bridianne O'Dea win the annual Centre of Research Excellence in Suicide Prevention (CRESP) Best Research Paper awards.
Established on World Suicide Prevention Day 2013, the awards support outstanding suicide prevention research and aim to encourage new and established researchers in the field. There are two $2,500 awards, one for Early Career Research and the other for Senior Research.
This year, publications examining community mental health care after self-harm, and the linguistic content of suicide-related twitter posts have taken out the honours.
Best Research Paper - Senior Research
Winner: Associate Professor Matthew Spittal, University of Melbourne.
A/Prof Spittal’s paper, ‘Community mental health care after self-harm: A retrospective cohort study’ was published in the Australian and New Zealand Journal of Psychiatry. The paper reports on the use of community mental health services within 30 days of discharge for people admitted to hospital across NSW for self-harm. Authors found that only 40% of patients get follow-up care, with this number being lower among people who are not yet receiving community mental health. The study has the potential to change clinical practice and highlights potential opportunities to improve patient care at a system-level. The study demonstrates that it is possible to reduce the risk of suicide and self-harm by improving the management of self-harm in the hospital and the community setting.
Spittal, M. J., Shand, F., Christensen, H., Brophy, L., & Pirkis, J. (2016). Community mental health care after self-harm: A retrospective cohort study. Australian and New Zealand Journal of Psychiatry, 0004867416676366
Best Research Paper - Early Career Research
Winner: Dr Bridianne O’Dea, Black Dog Institute.
Dr O’Dea’s paper ‘A linguistic analysis of suicide-related Twitter posts’ has just been published in Crisis. Dr O’Dea’s study demonstrates the possibility of using Twitter data to identify those at risk of suicide. While suicide is a leading cause of death worldwide and is largely preventable, identifying those at risk and delivering timely interventions remains a challenge. The study found that strongly concerning suicide-related Twitter posts have unique linguistic profiles and the examination of Twitter data for the presence of such features may help to validate online risk assessments and determine those in need of further support or intervention. This innovative approach illustrates the potential opportunities and importance in cross-disciplinary approaches to routinely collected and big data sources in health, social science, and computer science.
O'Dea, B., Larsen, M. E., Batterham, P. J., Calear, A. L., & Christensen, H. (2017). A Linguistic Analysis of Suicide-Related Twitter Posts. Crisis.
Nominations were judged on the potential of their research to contribute to improving suicide prevention, scientific excellence and the potential for public impact.
Judges for the 2016 awards were Professor Harvey Whiteford (UQ), Professor Andrew Page (UWS) and A/Professor Frances Kay-Lambkin (UoN), who kindly volunteered their time.