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Predictive models for the assessment of bodily harm

The Spanish scale to quantify or qualify bodily harm resulting from any unintentional traffic accident prior to 1 January 2016 is established by Royal Legislative Decree (RDL) 8/2004. This scale assigns points to the sequelae, which are converted into Euros using a table that is updated annually. Th...

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Autores principales: Ordóñez Mayán, Lucía, Martínez Silva, Isabel, Represas Vázquez, Carlos, Muñoz Barús, José Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197112/
https://www.ncbi.nlm.nih.gov/pubmed/30483640
http://dx.doi.org/10.1080/20961790.2017.1379122
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author Ordóñez Mayán, Lucía
Martínez Silva, Isabel
Represas Vázquez, Carlos
Muñoz Barús, José Ignacio
author_facet Ordóñez Mayán, Lucía
Martínez Silva, Isabel
Represas Vázquez, Carlos
Muñoz Barús, José Ignacio
author_sort Ordóñez Mayán, Lucía
collection PubMed
description The Spanish scale to quantify or qualify bodily harm resulting from any unintentional traffic accident prior to 1 January 2016 is established by Royal Legislative Decree (RDL) 8/2004. This scale assigns points to the sequelae, which are converted into Euros using a table that is updated annually. The objective of this study is to develop a predictive model of sequelae points that will enable the estimation of compensation a short time after the accident. This will facilitate the calculation of the money reserve and rapid access to compensation for the injured party. To conduct this study, we developed a database with information from 999 individuals who had suffered car crash injuries which were evaluated according to the scale contained in RDL 8/2004 for medical experts. Predictive models based on logistic regression models were designed on this database. To choose the best model, we calculated Mallow's Cp. The use of hurdle models made it possible to predict the points received by an injured party within a relatively short period of time after the accident. Once these points are known, it is a simple matter to calculate the corresponding compensation. The prediction models developed provide an easy way to predict the compensation to be awarded to the injured party. These models use days of hospitalization, sex, age and the results of international scales based on the Abbreviated Injury Scale. These variables can be used soon after the occurrence of the crash.
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spelling pubmed-61971122018-11-27 Predictive models for the assessment of bodily harm Ordóñez Mayán, Lucía Martínez Silva, Isabel Represas Vázquez, Carlos Muñoz Barús, José Ignacio Forensic Sci Res Original Article The Spanish scale to quantify or qualify bodily harm resulting from any unintentional traffic accident prior to 1 January 2016 is established by Royal Legislative Decree (RDL) 8/2004. This scale assigns points to the sequelae, which are converted into Euros using a table that is updated annually. The objective of this study is to develop a predictive model of sequelae points that will enable the estimation of compensation a short time after the accident. This will facilitate the calculation of the money reserve and rapid access to compensation for the injured party. To conduct this study, we developed a database with information from 999 individuals who had suffered car crash injuries which were evaluated according to the scale contained in RDL 8/2004 for medical experts. Predictive models based on logistic regression models were designed on this database. To choose the best model, we calculated Mallow's Cp. The use of hurdle models made it possible to predict the points received by an injured party within a relatively short period of time after the accident. Once these points are known, it is a simple matter to calculate the corresponding compensation. The prediction models developed provide an easy way to predict the compensation to be awarded to the injured party. These models use days of hospitalization, sex, age and the results of international scales based on the Abbreviated Injury Scale. These variables can be used soon after the occurrence of the crash. Taylor & Francis 2017-09-27 /pmc/articles/PMC6197112/ /pubmed/30483640 http://dx.doi.org/10.1080/20961790.2017.1379122 Text en © 2017 The Author(s). Published by Taylor & Francis Group on behalf of the Institute of Forensic Science, Ministry of Justice, People's Republic of China. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article 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 Original Article
Ordóñez Mayán, Lucía
Martínez Silva, Isabel
Represas Vázquez, Carlos
Muñoz Barús, José Ignacio
Predictive models for the assessment of bodily harm
title Predictive models for the assessment of bodily harm
title_full Predictive models for the assessment of bodily harm
title_fullStr Predictive models for the assessment of bodily harm
title_full_unstemmed Predictive models for the assessment of bodily harm
title_short Predictive models for the assessment of bodily harm
title_sort predictive models for the assessment of bodily harm
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197112/
https://www.ncbi.nlm.nih.gov/pubmed/30483640
http://dx.doi.org/10.1080/20961790.2017.1379122
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