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Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data
BACKGROUND: In France, like in most developed countries, the number of road accident fatalities is estimated from police data. These estimates are considered to be good-quality, unlike estimates of road injuries admitted to hospital, and especially serious injuries. METHODS: The present study aimed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938523/ https://www.ncbi.nlm.nih.gov/pubmed/33685412 http://dx.doi.org/10.1186/s12889-021-10437-0 |
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author | Zullo, Anthony Large, Maxime Amoros, Emmanuelle Martin, Jean-Louis |
author_facet | Zullo, Anthony Large, Maxime Amoros, Emmanuelle Martin, Jean-Louis |
author_sort | Zullo, Anthony |
collection | PubMed |
description | BACKGROUND: In France, like in most developed countries, the number of road accident fatalities is estimated from police data. These estimates are considered to be good-quality, unlike estimates of road injuries admitted to hospital, and especially serious injuries. METHODS: The present study aimed to supply such data from French hospital medical information data-bases (PMSI). In the PMSI data-bases, road accident victims are identified by external causes of morbidity and mortality, which should be systematically recorded in case of injury, but are often missing. We therefore modeled presence/absence of external cause from the relevant subset of the medicine-surgery-obstetrics PMSI data-base using a logistic regression, and then weighting the results by inverse estimated probability. As ICD-10 coding does not include injury severity, we used the AAAM10 conversion instrument developed by the American Association for Automotive Medicine, originators of the Abbreviated Injury Scale, so as to conform to the European Commission’s definition of serious injury. RESULTS: The number of road-accident related hospital admissions is estimated to be about 100000 per year; serious injuries increased from about 18000 in 2010 to almost 20000 in 2017, with almost 17000 in 2012 and 2013, with a mean of one fatality per 5 serious injury admissions. CONCLUSIONS: These serious injury estimates are close to those obtained by our team from other data and with a different estimation method. The present method has the advantage of using ICD codes for injured people admitted to hospital. This classification and data source (hospital discharge registry) are also used by most european countries reporting serious injury estimates to the Commission. It allows cost estimation of hospital care, and could be applied to other types of accidental injury. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12889-021-10437-0). |
format | Online Article Text |
id | pubmed-7938523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79385232021-03-09 Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data Zullo, Anthony Large, Maxime Amoros, Emmanuelle Martin, Jean-Louis BMC Public Health Research Article BACKGROUND: In France, like in most developed countries, the number of road accident fatalities is estimated from police data. These estimates are considered to be good-quality, unlike estimates of road injuries admitted to hospital, and especially serious injuries. METHODS: The present study aimed to supply such data from French hospital medical information data-bases (PMSI). In the PMSI data-bases, road accident victims are identified by external causes of morbidity and mortality, which should be systematically recorded in case of injury, but are often missing. We therefore modeled presence/absence of external cause from the relevant subset of the medicine-surgery-obstetrics PMSI data-base using a logistic regression, and then weighting the results by inverse estimated probability. As ICD-10 coding does not include injury severity, we used the AAAM10 conversion instrument developed by the American Association for Automotive Medicine, originators of the Abbreviated Injury Scale, so as to conform to the European Commission’s definition of serious injury. RESULTS: The number of road-accident related hospital admissions is estimated to be about 100000 per year; serious injuries increased from about 18000 in 2010 to almost 20000 in 2017, with almost 17000 in 2012 and 2013, with a mean of one fatality per 5 serious injury admissions. CONCLUSIONS: These serious injury estimates are close to those obtained by our team from other data and with a different estimation method. The present method has the advantage of using ICD codes for injured people admitted to hospital. This classification and data source (hospital discharge registry) are also used by most european countries reporting serious injury estimates to the Commission. It allows cost estimation of hospital care, and could be applied to other types of accidental injury. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s12889-021-10437-0). BioMed Central 2021-03-08 /pmc/articles/PMC7938523/ /pubmed/33685412 http://dx.doi.org/10.1186/s12889-021-10437-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zullo, Anthony Large, Maxime Amoros, Emmanuelle Martin, Jean-Louis Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title | Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title_full | Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title_fullStr | Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title_full_unstemmed | Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title_short | Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data |
title_sort | estimated number of seriously injured road users admitted to hospital in france between 2010 and 2017, based on medico-administrative data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938523/ https://www.ncbi.nlm.nih.gov/pubmed/33685412 http://dx.doi.org/10.1186/s12889-021-10437-0 |
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