Literature DB >> 31041467

Data-informed targets for suicide prevention: a small-area analysis of high-risk suicide regions in Australia.

Michelle Torok1, F Shand2, M Phillips2, N Meteoro2, D Martin2, M Larsen2.   

Abstract

PURPOSE: To investigate small-area variation in risks associated with suicide deaths across four regional communities in New South Wales, Australia, and to determine whether these areas have unique demographic and socioeconomic risk profiles that could inform targeted means restriction suicide prevention efforts.
METHODS: Archival data on suicide mortality for all deaths in New South Wales, Australia, over the period 2006-2015 were geospatially attributed to four high-risk priority regions. Deaths in the four regions were compared to each other, and to NSW, on demographic factors, indicators of economic deprivation, and suicide means.
RESULTS: Priority means restriction targets were identified for all sites. In Murrumbidgee, suicide deaths were significantly more likely to involve firearms and older males (p < 0.001). The Central Coast had a greater proportion of overdose deaths (p < 0.001), which were associated with being female and unemployed. Suicide deaths in Newcastle were associated with being younger (p = 0.001) and involving 'jumping from a height' (p < 0.001), while economic deprivation was a major risk for suicide death in Illawarra Shoalhaven (p < 0.001).
CONCLUSIONS: Local regions were significantly differentiated from each other, and from the State, in terms of priority populations and means of suicide, demonstrating the need for locally based, targeted interventions. There were, however, also some risk constancies across all sites (males, hanging, economic deprivation), suggesting that prevention initiatives should, optimally, be delivered within multilevel models that target risk commonalities and provide tailored initiatives that address risk specific to a region.

Entities:  

Keywords:  Epidemiology; Prevention; Suicide

Year:  2019        PMID: 31041467     DOI: 10.1007/s00127-019-01716-8

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


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