CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours
ABSTRACT Objectives In Wales suicide accounts for 20% of deaths among men aged 15-24 years and almost 10% of deaths among women of that age. Up to 2% of suicides in young people are thought to occur in clusters. Yet, our understanding of the social and psychological determinants of suicide clusters...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2017-04-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/247 |
| _version_ | 1797431284402749440 |
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| author | Marcos Delpozo-Banos Keith Hawton David Gunnel Keith Lloyd Jonathan Scourfield Michael Dennis Ann John |
| author_facet | Marcos Delpozo-Banos Keith Hawton David Gunnel Keith Lloyd Jonathan Scourfield Michael Dennis Ann John |
| author_sort | Marcos Delpozo-Banos |
| collection | DOAJ |
| description | ABSTRACT
Objectives
In Wales suicide accounts for 20% of deaths among men aged 15-24 years and almost 10% of deaths among women of that age. Up to 2% of suicides in young people are thought to occur in clusters. Yet, our understanding of the social and psychological determinants of suicide clusters is limited, with none of the cross-discipline theories proposed having been tested via in-depth research on an actual cluster. This HCRW funded mixed methods study had qualitative and quantitative data linkage work packages to explore here the factors that trigger a suicide cluster, cause it to continue and then eventually subside.
Approach
The data of 1866 individuals’ who attended the Princes of Wales Hospital emergency department (ED) with self harm between 1st January 2006 and 31st December 2013 was anonymously linked within the Secure Anonymised Information Linkage (SAIL) databank. We had a matching rate of 99.7. We performed both time-trend analysis on this data around the apparant suicide cluster in 2007-08, and a comparison across three defined populations: those attending ED at the time of the cluster; those attending during the same period, one year before; and those attending one year after.
Results
We are able to present the characteristics of those who attend ED during a cluster with self harm compared to those who attend at other times and their long term outcomes.
Conclusion
To inform the development of appropriate policy to respond to suicide clusters at an early stage. |
| first_indexed | 2024-03-09T09:42:40Z |
| format | Article |
| id | doaj.art-6fafc169114c4afaa63c30267545e5b5 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:42:40Z |
| publishDate | 2017-04-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-6fafc169114c4afaa63c30267545e5b52023-12-02T00:48:10ZengSwansea UniversityInternational Journal of Population Data Science2399-49082017-04-011110.23889/ijpds.v1i1.247247CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behavioursMarcos Delpozo-Banos0Keith Hawton1David Gunnel2Keith Lloyd3Jonathan Scourfield4Michael Dennis5Ann John6College of Medicine, Swansea UniveristyDepartment of Psychiatry, University of OxfordSchool for Social and Community Medicine, Bristol UniversityCollege of Medicine, Swansea UniversityCardiff School of Social SciencesCollege of Medicine, Swansea UniversityCollege of Medicine, Swansea UniversityABSTRACT Objectives In Wales suicide accounts for 20% of deaths among men aged 15-24 years and almost 10% of deaths among women of that age. Up to 2% of suicides in young people are thought to occur in clusters. Yet, our understanding of the social and psychological determinants of suicide clusters is limited, with none of the cross-discipline theories proposed having been tested via in-depth research on an actual cluster. This HCRW funded mixed methods study had qualitative and quantitative data linkage work packages to explore here the factors that trigger a suicide cluster, cause it to continue and then eventually subside. Approach The data of 1866 individuals’ who attended the Princes of Wales Hospital emergency department (ED) with self harm between 1st January 2006 and 31st December 2013 was anonymously linked within the Secure Anonymised Information Linkage (SAIL) databank. We had a matching rate of 99.7. We performed both time-trend analysis on this data around the apparant suicide cluster in 2007-08, and a comparison across three defined populations: those attending ED at the time of the cluster; those attending during the same period, one year before; and those attending one year after. Results We are able to present the characteristics of those who attend ED during a cluster with self harm compared to those who attend at other times and their long term outcomes. Conclusion To inform the development of appropriate policy to respond to suicide clusters at an early stage.https://ijpds.org/article/view/247 |
| spellingShingle | Marcos Delpozo-Banos Keith Hawton David Gunnel Keith Lloyd Jonathan Scourfield Michael Dennis Ann John CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours International Journal of Population Data Science |
| title | CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours |
| title_full | CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours |
| title_fullStr | CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours |
| title_full_unstemmed | CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours |
| title_short | CHERISH: Understanding Suicide Clusters tHrough ExploRIng Self Harm behaviours |
| title_sort | cherish understanding suicide clusters through exploring self harm behaviours |
| url | https://ijpds.org/article/view/247 |
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