Published in:
Open Access 01-12-2019 | Suicide | Research article
Quality of assistance provided by members of the Australian public to a person at risk of suicide: associations with training experiences and sociodemographic factors in a national survey
Published in: BMC Psychiatry | Issue 1/2019
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Background
Members of the public can potentially take action to assist someone in their social network who is distressed and at risk of suicide. The present study used data from a community survey to examine training experiences and sociodemographic factors associated with the quality of assistance provided in such situations.
Methods
A national telephone survey using random digit dialing was carried out with Australian adults on attitudes and intentions toward helping someone in severe distress or at risk of suicide, as well as actions taken. Participants were asked open-ended questions about their intentions to assist a hypothetical person in a vignette and about any actions they took to assist a family member or friend in distress over the previous 12 months. Each participant randomly received 1 of 6 vignettes which varied by gender and degree of suicidality portrayed. 3002 participants provided data on intentions and 932 on actions taken. Quality of Intentions and Quality of Actions were scored on 12-point scales.
Results
Quality of Intentions and Quality of Actions correlated 0.28. Quality of Intentions was associated with more overt suicidality in the vignette, age 31–59 years, female gender, university education, speaking English at home, being non-Indigenous and all forms of suicide training (professional, Mental Health First Aid and other). Quality of Actions was associated with female gender, university education and other suicide training.
Conclusions
Training on suicide prevention is associated with better quality of intentions and actions to help a person at risk of suicide. There are sub-groups in the population who are in greater need of such training because they have poorer quality of intentions to help and are less likely to have received training. These include males, less educated people and people from non-English speaking backgrounds.