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The meta-analysis of 372 randomised controlled trials conducted by Stone et al 7 included an analysis of suicidality risk (suicide, attempted suicide, preparatory acts, or ideation) for 18 individual drugs compared with placebo.
The purpose of the current study was to examine differences in suicidal ideation, clinician-rated suicide risk, suicide attempts, and family history of suicide in a sample of outpatients diagnosed with various forms of depressive illness.
Depression and its worst risk, suicide, are serious and common problems in children and teens.
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Thus it is difficult to find the cluster of high risk suicides in SEQ.
Our final aim was to use predictive models applied to data from the EMR to derive predictive models for high-risk suicide behaviour.
We hypothesize that similar results may be found in Kentucky as in Glasgow, UK, and Queensland, Australia, where socioeconomic deprivation has been associated with high-risk suicide clusters [ 10, 11].
Further, when the purely spatial cluster analysis, SEB map, and cumulative incidence rates are jointly examined, they bolster the evidence of the existence of a high-risk suicide cluster in western Kentucky.
This study also guides future small area analysis research: i.e., given that two high-risk suicide clusters have been identified, we recommend a spatial analysis limited to each cluster, with those high-risk counties divided into smaller census-tracts to identify those tracts within high-risk counties that are at greatest risk for suicide.
In conclusion, the risk of suicide and suicide attempt is elevated in patients with hematological malignancies.
Various interventions have been implemented to reduce the risk of suicide at suicide hotspots.
The impact of coexistent psychiatric morbidity on risk of suicide after suicide attempts is largely unknown.
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