| Medical treatment and traffic fatality reductions in industrialized countries. | |
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MedLine Citation:
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PMID: 12971921 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Reductions in traffic-related fatalities in developed industrialized countries have been substantial in the last 30 years. Most analyses have attributed this reduction to changes in vehicle design, better road design, increased seat-belt use, and reductions in driving under the influence of alcohol. This paper analyses the impact of improvements in medical treatment and technology. Data from the International Road and Traffic Accident Database (IRTAD), which includes all developed countries, was used in combination with Organization for Economic Cooperation and Development (OECD) Health Care data. Using proxy measures to account for improvements in medical treatment and technology it is found that these proxy variables are significant and capture much of the residual time trend in the data when they are omitted. Changes in age cohorts, such as fewer young people, also have contributed to a reduction in fatalities. These results suggest that medical technology improvements are associated with reductions in traffic-related fatalities over time. |
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Authors:
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Robert B Noland |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Accident; analysis and prevention Volume: 35 ISSN: 0001-4575 ISO Abbreviation: Accid Anal Prev Publication Date: 2003 Nov |
Date Detail:
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Created Date: 2003-09-15 Completed Date: 2004-02-04 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 1254476 Medline TA: Accid Anal Prev Country: England |
Other Details:
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Languages: eng Pagination: 877-83 Citation Subset: IM |
Affiliation:
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Department of Civil and Environmental Engineering, Centre for Transport Studies, Imperial College of Science, Technology and Medicine, London SW7 2BU, UK. r.noland@ic.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Accidents, Traffic
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mortality* Developed Countries Europe / epidemiology Humans Infant Infant Mortality Models, Statistical* United States / epidemiology |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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