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Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables

BACKGROUND: To estimate the economic loss due to road traffic injuries (RTIs) of the World Health Organization (WHO) member countries and to explore the relationship between the economic loss and relevant health system factors. METHODS: Data from the World Bank and the WHO were applied to set up the...

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Autores principales: Dalal, Koustuv, Lin, Zhiquin, Gifford, Mervyn, Svanström, Leif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898451/
https://www.ncbi.nlm.nih.gov/pubmed/24498501
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author Dalal, Koustuv
Lin, Zhiquin
Gifford, Mervyn
Svanström, Leif
author_facet Dalal, Koustuv
Lin, Zhiquin
Gifford, Mervyn
Svanström, Leif
author_sort Dalal, Koustuv
collection PubMed
description BACKGROUND: To estimate the economic loss due to road traffic injuries (RTIs) of the World Health Organization (WHO) member countries and to explore the relationship between the economic loss and relevant health system factors. METHODS: Data from the World Bank and the WHO were applied to set up the databases. Disability-adjusted life year (DALY) and gross domestic product per capita were used to estimate the economic loss relating to RTIs. Regression analysis was used. Data were analyzed by IBM SPSS Statistics, Versions 20.0. RESULTS: In 2005, the total economic loss of RTIs was estimated to be 167,752.4 million United States Dollars. High income countries (HIC) showed the greatest economic losses. The majority (96%) of the top 25 countries with the greatest DALY losses are low and middle income countries while 48% of the top 25 countries with the highest economic losses are HIC. The linear regression model indicates an inverse relationship between nurse density in the health system and economic loss due to RTI. CONCLUSIONS: RTIs cause enormous death and DALYs loss in low-middle income countries and enormous economic loss in HIC. More road traffic prevention programs should be promoted in these areas to reduce both incidence and economic burden of RTIs.
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spelling pubmed-38984512014-02-04 Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables Dalal, Koustuv Lin, Zhiquin Gifford, Mervyn Svanström, Leif Int J Prev Med Original Article BACKGROUND: To estimate the economic loss due to road traffic injuries (RTIs) of the World Health Organization (WHO) member countries and to explore the relationship between the economic loss and relevant health system factors. METHODS: Data from the World Bank and the WHO were applied to set up the databases. Disability-adjusted life year (DALY) and gross domestic product per capita were used to estimate the economic loss relating to RTIs. Regression analysis was used. Data were analyzed by IBM SPSS Statistics, Versions 20.0. RESULTS: In 2005, the total economic loss of RTIs was estimated to be 167,752.4 million United States Dollars. High income countries (HIC) showed the greatest economic losses. The majority (96%) of the top 25 countries with the greatest DALY losses are low and middle income countries while 48% of the top 25 countries with the highest economic losses are HIC. The linear regression model indicates an inverse relationship between nurse density in the health system and economic loss due to RTI. CONCLUSIONS: RTIs cause enormous death and DALYs loss in low-middle income countries and enormous economic loss in HIC. More road traffic prevention programs should be promoted in these areas to reduce both incidence and economic burden of RTIs. Medknow Publications & Media Pvt Ltd 2013-12 /pmc/articles/PMC3898451/ /pubmed/24498501 Text en Copyright: © International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Dalal, Koustuv
Lin, Zhiquin
Gifford, Mervyn
Svanström, Leif
Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title_full Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title_fullStr Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title_full_unstemmed Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title_short Economics of Global Burden of Road Traffic Injuries and Their Relationship with Health System Variables
title_sort economics of global burden of road traffic injuries and their relationship with health system variables
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898451/
https://www.ncbi.nlm.nih.gov/pubmed/24498501
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