Implications of estimating road traffic serious injuries from hospital data.

Autor: Pérez K; Agència de Salut Pública de Barcelona (ASPB), Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Institut d'Investigació Biomédica (IIB Sant Pau), Spain. Electronic address: cperez@aspb.cat., Weijermars W; Institute for Road Safety Research (SWOV), Netherlands., Bos N; Institute for Road Safety Research (SWOV), Netherlands., Filtness AJ; Transport Safety Research Centre, Loughborough University (LOUGH), United Kingdom., Bauer R; Austrian Road Safety Board (KFV), Austria., Johannsen H; Medical University of Hannover (MHH), Germany., Nuyttens N; Vias institute, Belgium., Pascal L; French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), France., Thomas P; Transport Safety Research Centre, Loughborough University (LOUGH), United Kingdom., Olabarria M; Agència de Salut Pública de Barcelona (ASPB), Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Institut d'Investigació Biomédica (IIB Sant Pau), Spain.
Jazyk: angličtina
Zdroj: Accident; analysis and prevention [Accid Anal Prev] 2019 Sep; Vol. 130, pp. 125-135. Date of Electronic Publication: 2018 Apr 19.
DOI: 10.1016/j.aap.2018.04.005
Abstrakt: To determine accurately the number of serious injuries at EU level and to compare serious injury rates between different countries it is essential to use a common definition. In January 2013, the High Level Group on Road Safety established the definition of serious injuries as patients with an injury level of MAIS3+(Maximum Abbreviated Injury Scale). Whatever the method used for estimating the number or serious injuries, at some point it is always necessary to use hospital records. The aim of this paper is to understand the implications for (1) in/exclusion criteria applied to case selection and (2) a methodological approach for converting ICD (International Classification of Diseases/Injuries) to MAIS codes, when estimating the number of road traffic serious injuries from hospital data. A descriptive analysis with hospital data from Spain and the Netherlands was carried out to examine the effect of certain choices concerning in- and exclusion criteria based on codes of the ICD9-CM and ICD10. The main parameters explored were: deaths before and after 30 days, readmissions, and external injury causes. Additionally, an analysis was done to explore the impact of using different conversion tools to derive MAIS3 + using data from Austria, Belgium, France, Germany, Netherlands, and Spain. Recommendations are given regarding the in/exclusion criteria and when there is incomplete data to ascertain a road injury, weighting factors could be used to correct data deviations and make more real estimations.
(Copyright © 2018. Published by Elsevier Ltd.)
Databáze: MEDLINE
Externí odkaz: