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Trauma signature analysis: State of the art and evolving future directions

Trauma signature (TSIG) analysis is an evidence-based method that examines the interrelationship between population exposure to a disaster, extreme event, or complex emergency, and the inter-related physical and psychological consequences for the purpose of providing timely, actionable guidance for...

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Detalles Bibliográficos
Autores principales: Shultz, James M, Neria, Yuval
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314909/
https://www.ncbi.nlm.nih.gov/pubmed/28228981
http://dx.doi.org/10.4161/dish.24011
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author Shultz, James M
Neria, Yuval
author_facet Shultz, James M
Neria, Yuval
author_sort Shultz, James M
collection PubMed
description Trauma signature (TSIG) analysis is an evidence-based method that examines the interrelationship between population exposure to a disaster, extreme event, or complex emergency, and the inter-related physical and psychological consequences for the purpose of providing timely, actionable guidance for effective mental health and psychosocial support that is organically tailored and targeted to the defining features of the event. A series of TSIG case studies has been published since 2011 and TSIG analyses of recent disasters are in process. Disaster Health intends to expedite and feature novel TSIG research focusing on late-breaking disaster events. At the current stage of development, expert consensus is sought for refining the TSIG methodology using a Delphi process. The overarching goal is to create a fully operational system to provide timely guidance for adapting disaster behavioral health support to the salient psychological risk factors in each disaster.
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spelling pubmed-53149092017-02-22 Trauma signature analysis: State of the art and evolving future directions Shultz, James M Neria, Yuval Disaster Health Commentary Trauma signature (TSIG) analysis is an evidence-based method that examines the interrelationship between population exposure to a disaster, extreme event, or complex emergency, and the inter-related physical and psychological consequences for the purpose of providing timely, actionable guidance for effective mental health and psychosocial support that is organically tailored and targeted to the defining features of the event. A series of TSIG case studies has been published since 2011 and TSIG analyses of recent disasters are in process. Disaster Health intends to expedite and feature novel TSIG research focusing on late-breaking disaster events. At the current stage of development, expert consensus is sought for refining the TSIG methodology using a Delphi process. The overarching goal is to create a fully operational system to provide timely guidance for adapting disaster behavioral health support to the salient psychological risk factors in each disaster. Taylor & Francis 2013-01-01 /pmc/articles/PMC5314909/ /pubmed/28228981 http://dx.doi.org/10.4161/dish.24011 Text en Copyright © 2013 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Commentary
Shultz, James M
Neria, Yuval
Trauma signature analysis: State of the art and evolving future directions
title Trauma signature analysis: State of the art and evolving future directions
title_full Trauma signature analysis: State of the art and evolving future directions
title_fullStr Trauma signature analysis: State of the art and evolving future directions
title_full_unstemmed Trauma signature analysis: State of the art and evolving future directions
title_short Trauma signature analysis: State of the art and evolving future directions
title_sort trauma signature analysis: state of the art and evolving future directions
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314909/
https://www.ncbi.nlm.nih.gov/pubmed/28228981
http://dx.doi.org/10.4161/dish.24011
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