Health burden of road traffic accidents, an analysis of clinical data on disability and mortality exposure rates in Flanders and Brussels

Dhondt, Stijn; Macharis, Cathy; Terryn, Nathalie; Malderen, Fredriek Van; Putman, Koen

doi:10.1016/j.aap.2012.06.019

Cited by 51 publications

(44 citation statements)

References 19 publications

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“…By combining the YLDs and YLLs predicted in this study with the exposure data we could estimate YLDs per distance travelled. One recent study from Belgium estimated DALYs per km driven for four different transport modes, showing that DALYs per km travelled vary greatly between transport modes [34]. However, the objective of this study was on the severity of injuries.…”

Section: Resultsmentioning

confidence: 99%

Severity of injuries in different modes of transport, expressed with disability-adjusted life years (DALYs)

et al. 2014

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BackgroundHealth impact assessment (HIA) studies are increasingly predicting the health effects of mode shifts in traffic. The challenge for such studies is to combine the health effects, caused by injuries, with the disease driven health effects, and to express the change in the health with a common health indicator. Disability-adjusted life year (DALY) combines years lived disabled or injured (YLD) and years of life lost (YLL) providing practical indicator to combine injuries with diseases. In this study, we estimate the average YLDs for one person injured in a transport crash to allow easy to use methods to predict health effects of transport injuries.MethodsWe calculated YLDs and YLLs for transport fatalities and injuries based on the data from the Swedish Traffic Accident Data Acquisition (STRADA). In STRADA, all the fatalities and most of the injuries in Sweden for 2007–2011 were recorded. The type of injury was recorded with the Abbreviated Injury Scale (AIS) codes. In this study these AIS codes were aggregated to injury types, and YLDs were calculated for each victim by multiplying the type of injury with the disability weight and the average duration of that injury. YLLs were calculated by multiplying the age of the victim with life expectancy of that age and gender. YLDs and YLLs were estimated separately for different gender, mode of transport and location of the crash.ResultsThe average YLDs for injured person was 14.7 for lifelong injuries and 0.012 for temporal injuries. The average YLDs per injured person for lifelong injuries for pedestrians, cyclists and car occupants were 9.4, 12.8 and 18.4, YLDs, respectively. Lifelong injuries sustained in rural areas were on average 31% more serious than injuries in urban areas.ConclusionsThe results show that shifting modes of transport will not only change the likelihood of injuries but also the severity of injuries sustained, if injured. The results of this study can be used to predict DALY changes in HIA studies that take into account mode shifts between different transport modes, and in other studies predicting the health effects of traffic injuries.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2458-14-765) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Severity of injuries in different modes of transport, expressed with disability-adjusted life years (DALYs)

et al. 2014

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“…Confounders were included based on statistical significance in the univariate analysis conducted with this sample and previous literature [2,5,12,[36][37][38]. Confounding variables include: age, gender, income level, education attainment, diabetes, asthma, smoking and insurance status [2,12,36,39].…”

Section: Discussionmentioning

confidence: 99%

Long-term outcomes of individuals injured in motor vehicle crashes: A population-based study

Alghnam¹,

Wegener²,

Bhalla³

et al. 2015

Injury

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“…Las lesiones en segmentos corporales que posteriormente producen algún tipo de limitación motora han sido reportadas como las más frecuentes en varios estudios en distintas regiones del mundo (6,17,18) .…”

Section: Discussionunclassified

Perfil epidemiológico de la discapacidad por accidentes de tránsito en el Perú, 2012

Gutiérrez

Romaní

Wong-Chero

et al. 2014

Rev Peru Med Exp Salud Publica

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Objetivos. Describir el perfil epidemiológico de las personas discapacitadas por accidentes de tránsito (AT) en Perú. Materiales y métodos. Análisis secundario de la Encuesta Nacional Especializada Sobre Discapacidad (ENEDIS) del año 2012. Además, se realizó un análisis ecológico con los registros de AT del Ministerio de Transportes y Comunicaciones. Resultados. 49 036 personas reportaron algún tipo de discapacidad por accidentes de tránsito (DAT); 81,3% de los discapacitados reside en zonas urbanas. La discapacidad reportada más frecuente fue limitación en la locomoción y destreza (77,4%), seguida de la discapacidad visual (22,9%). Se reporta dependencia en 44,7% de las personas con discapacidad. Las regiones con mayor prevalencia de AT presentan mayor prevalencia de discapacidad por accidente de tránsito (Coeficiente de Spearman: 0,426, p=0,034). Conclusiones. La mayor parte de los discapacitados por AT proceden de la zona urbana, son varones y se encuentran en la edad económicamente productiva. La forma más común de limitación es la de locomoción. Gran parte de los afectados no reciben ningún tipo de rehabilitación, lo que acentúa la inequidad en salud relacionada a los accidentes de tránsito. Palabras clave: Accidentes de tránsito; Personas con discapacidad; Prevalencia (fuente: BIREME). EPIDEMIOLOGICAL PROFILE OF TRAFFIC-RELATED DISABILITY IN PERU, 2012 ABSTRACTObjectives. To describe the epidemiological profile of people living with disabilities due to traffic accidents (TA) in Peru. Materials and methods. Secondary analysis of the National Survey Specialized on Disability (ENEDIS) of 2012 and an ecological analysis of TA records of the Ministry of Transportation and Communications was done. Results. Disability by traffic accidents (DAT) was reported by 49,036 persons; 81.3% of whom live in urban areas. The most frequent disability was limited locomotion and skill (77.4%), followed by visual impairment (22.9%). Dependence for activities was reported in 44.7% of persons with disabilities. The regions with the highest prevalence of TA have a higher prevalence of disability by traffic accidents (Spearman coefficient: 0.426, p=0.034). Conclusions. Most of disability due to TA is found in urban areas, correspond to males and consist of persons in economically productive age. The most common form of disability is in locomotion. Most of individuals do not receive any form of rehabilitation, which accentuates health inequity related to traffic accidents.

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Health burden of road traffic accidents, an analysis of clinical data on disability and mortality exposure rates in Flanders and Brussels

Cited by 51 publications

References 19 publications

Severity of injuries in different modes of transport, expressed with disability-adjusted life years (DALYs)

Severity of injuries in different modes of transport, expressed with disability-adjusted life years (DALYs)

Long-term outcomes of individuals injured in motor vehicle crashes: A population-based study

Perfil epidemiológico de la discapacidad por accidentes de tránsito en el Perú, 2012

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