Estimated number of seriously injured road users admitted to hospital in France between 2010 and 2017, based on medico-administrative data
| Autor: | Emmanuelle Amoros, Jean-Louis Martin, Maxime Large, Anthony Zullo |
|---|---|
| Přispěvatelé: | Unité Mixte de Recherche Epidémiologique et de Surveillance Transport Travail Environnement (UMRESTTE UMR_T9405), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Gustave Eiffel |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Logistic regression
ACCIDENTS 0302 clinical medicine Epidemiology 030212 general & internal medicine Road accident Abbreviated Injury Scale lcsh:Public aspects of medicine 05 social sciences Accidents Traffic Under-recording GRAVITE (ACCID Hospitals 3. Good health Europe France Medical emergency Developed country HOPITAL Research Article ACCIDENT medicine.medical_specialty ACCIDENT DE LA ROUTE BLESSURE) GRAVITE DES BLESSURES 03 medical and health sciences Serious injury External cause 0502 economics and business medicine Humans DONNEES D&apos ICD classification Estimation 050210 logistics & transportation business.industry ENREGISTREMENT DES DONNEES Public Health Environmental and Occupational Health lcsh:RA1-1270 medicine.disease External cause of morbidity/mortality MORTALITE Accidental Hospital discharge registry Wounds and Injuries AIS CLASSIFICATION [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie Biostatistics business human activities |
| Zdroj: | BMC Public Health, Vol 21, Iss 1, Pp 1-10 (2021) BMC Public Health BMC Public Health, BioMed Central, 2021, 21 ((1)), p469. ⟨10.1186/s12889-021-10437-0⟩ |
| ISSN: | 1471-2458 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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