Research in the Suicide Prevention stream is focused on building an evidence base for effective suicide prevention strategies at the whole-of-population level.
Research leader: Scientia Professor Helen Christensen
Led by Scientia Professor Helen Christensen, the team specialises in e-mental health interventions and the development of multi-level frameworks for community-wide suicide prevention initiatives.
Research in this stream targets people who have attempted suicide or have suicidal thoughts; a small body of work in early-stage intervention is also in development.
Key initiatives include:
- Lifespan, the largest suicide prevention project in Australia which is led by Senior Research Fellow Dr Fiona Shand, which is delivering nine evidence-based prevention strategies across four NSW regions
- iBobbly, a trial app that aims to stimulate help-seeking behaviours in at-risk Aboriginal and Torres Strait Islander young people.
Suicide and suicidal thoughts remain a leading health concern for people of all ages in Australia. Developing a robust evidence base for effective suicide prevention strategies will ultimately lead to better mental health outcomes for individuals at risk of suicide, their friends, families and the wider community.
An innovative, evidence-based, world-class approach to suicide prevention currently being trialed in select sites in NSW, Australia.
Bringing key researchers together to focus on projects and trials that aim to lower suicide rates.
The world’s first suicide prevention app designed for and developed alongside Indigenous Australian communities, delivering therapy in a culturally relevant way.
This project explores the use of innovative arts-based translational methods to understand and communicate the experience of young women’s suicidality.
An investigation into what motivates young people to attempt suicide by capturing and analysing the qualitative responses of those with lived experience.
Testing the effectiveness of the Sources of Strength program to promote help-seeking for suicidal ideation in adolescents within the high school setting.
With a focus on blogging, this project harnesses novel machine learning to see if social media can be leveraged detect those prone to mental illness, suicidal ideation or people at risk of relapse.
Completed project that aimed to implement and test online self-help programs designed to reduce suicidal ideation.