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Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty

Suicide risk assessment aims to reduce uncertainty in order to focus treatment and supervision on those who are judged to be more likely to die by suicide. In this article we consider recent meta-analytic research that highlights the difference between uncertainty about suicide due to chance factors...

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Detalles Bibliográficos
Autores principales: Large, Matthew, Galletly, Cherrie, Myles, Nicholas, Ryan, Christopher James, Myles, Hannah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of Psychiatrists 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451650/
https://www.ncbi.nlm.nih.gov/pubmed/28584653
http://dx.doi.org/10.1192/pb.bp.116.054940
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author Large, Matthew
Galletly, Cherrie
Myles, Nicholas
Ryan, Christopher James
Myles, Hannah
author_facet Large, Matthew
Galletly, Cherrie
Myles, Nicholas
Ryan, Christopher James
Myles, Hannah
author_sort Large, Matthew
collection PubMed
description Suicide risk assessment aims to reduce uncertainty in order to focus treatment and supervision on those who are judged to be more likely to die by suicide. In this article we consider recent meta-analytic research that highlights the difference between uncertainty about suicide due to chance factors (aleatory uncertainty) and uncertainty that results from lack of knowledge (epistemic uncertainty). We conclude that much of the uncertainty about suicide is aleatory rather than epistemic, and discuss the implications for clinicians.
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spelling pubmed-54516502017-06-05 Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty Large, Matthew Galletly, Cherrie Myles, Nicholas Ryan, Christopher James Myles, Hannah BJPsych Bull Review Article Suicide risk assessment aims to reduce uncertainty in order to focus treatment and supervision on those who are judged to be more likely to die by suicide. In this article we consider recent meta-analytic research that highlights the difference between uncertainty about suicide due to chance factors (aleatory uncertainty) and uncertainty that results from lack of knowledge (epistemic uncertainty). We conclude that much of the uncertainty about suicide is aleatory rather than epistemic, and discuss the implications for clinicians. Royal College of Psychiatrists 2017-06 /pmc/articles/PMC5451650/ /pubmed/28584653 http://dx.doi.org/10.1192/pb.bp.116.054940 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0 This is an open-access article published by the Royal College of Psychiatrists and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Large, Matthew
Galletly, Cherrie
Myles, Nicholas
Ryan, Christopher James
Myles, Hannah
Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title_full Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title_fullStr Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title_full_unstemmed Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title_short Known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
title_sort known unknowns and unknown unknowns in suicide risk assessment: evidence from meta-analyses of aleatory and epistemic uncertainty
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451650/
https://www.ncbi.nlm.nih.gov/pubmed/28584653
http://dx.doi.org/10.1192/pb.bp.116.054940
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