2018
DOI: 10.1016/j.jcot.2017.11.012
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Grouping of body areas affected in traffic accidents. A cohort study

Abstract: Exploring the cluster patterns of injuries and body areas affected in traffic accidents allow to establish anatomical groups defined by the type of accident and the type of vehicle. This classification system will accelerate and prioritize ER-care for these population groups, helping to provide better health care services and to rationalize available resources.

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Cited by 8 publications
(7 citation statements)
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“…El sistema musculoesquelético prevaleció en los registros de ocurrencia. Estos datos corroboran los resultados presentes en otra investigación sobre el tema, en la que la mayoría de los TTA implican complicaciones musculoesqueléticas resultantes del evento traumático (25) .…”
Section: Discussionunclassified
“…El sistema musculoesquelético prevaleció en los registros de ocurrencia. Estos datos corroboran los resultados presentes en otra investigación sobre el tema, en la que la mayoría de los TTA implican complicaciones musculoesqueléticas resultantes del evento traumático (25) .…”
Section: Discussionunclassified
“…An international study identified that the most affected body parts as well as their severity depended on the vehicle and the victim’s condition and classification at the time of admission. The importance of this knowledge provides improvement in the quality of care provided ( Leon et al., 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…The incidence of fractures is higher in developing countries with over 90% of road accident related incidents reported worldwide [4], while the cost of healthcare per patient is a large component of the country's GDP [5]. According to the World Health Organization the highest portion of road traffic accident victims are in the age group between 15 to 29 years, and sustain some sort of a long-standing disability [6]; motorcycle accidents being a key reason [7][8][9]. This is an important age group of individuals, especially for a developing country as it contains the bulk of its workforce.…”
Section: Introductionmentioning
confidence: 99%