Prevalence of suicide risk factors in people at ultra-high risk of developing psychosis: a service audit

2011 ◽  
Vol 5 (4) ◽  
pp. 375-380 ◽  
Author(s):  
Paul Hutton ◽  
Samantha Bowe ◽  
Sophie Parker ◽  
Sarah Ford
Author(s):  
Samah Jamal Fodeh ◽  
Edwin D. Boudreaux ◽  
Rixin Wang ◽  
Dennis Silva ◽  
Robert Bossarte ◽  
...  

While many studies have explored the use of social media and behavioral changes of individuals, few examined the utility of using social media for suicide detection and prevention. The study by Jashinsky et al. identified specific language patterns associated with a set of twelve suicide risk factors. The authors extended these methods to assess the significance of the language used on Twitter for suicide detection. This article quantifies the use of Twitter to express suicide related language, and its potential to detect users at high risk of suicide. The authors searched Twitter for tweets indicative of 12 suicide risk factors. This paper divided Twitter users into two groups: “high risk” and “at risk” based on two of the risk factors (“self-harm” and “prior suicide attempts”) and examined language patterns by computing co-occurrences of terms in tweets which helped identify relationships between suicide risk factors in both groups.


2021 ◽  
pp. 103985622098403
Author(s):  
Marianne Wyder ◽  
Manaan Kar Ray ◽  
Samara Russell ◽  
Kieran Kinsella ◽  
David Crompton ◽  
...  

Introduction: Risk assessment tools are routinely used to identify patients at high risk. There is increasing evidence that these tools may not be sufficiently accurate to determine the risk of suicide of people, particularly those being treated in community mental health settings. Methods: An outcome analysis for case serials of people who died by suicide between January 2014 and December 2016 and had contact with a public mental health service within 31 days prior to their death. Results: Of the 68 people who had contact, 70.5% had a formal risk assessment. Seventy-five per cent were classified as low risk of suicide. None were identified as being at high risk. While individual risk factors were identified, these did not allow to differentiate between patients classified as low or medium. Discussion: Risk categorisation contributes little to patient safety. Given the dynamic nature of suicide risk, a risk assessment should focus on modifiable risk factors and safety planning rather than risk prediction. Conclusion: The prediction value of suicide risk assessment tools is limited. The risk classifications of high, medium or low could become the basis of denying necessary treatment to many and delivering unnecessary treatment to some and should not be used for care allocation.


2006 ◽  
Vol 36 (5) ◽  
pp. 539-552 ◽  
Author(s):  
Kanita Dervic ◽  
Madelyn S. Gould ◽  
Gerhard Lenz ◽  
Marjorie Kleinman ◽  
Tuerkan Akkaya-Kalayci ◽  
...  

1992 ◽  
Vol 43 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Randall D. Buzan ◽  
Michael P. Weissberg

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