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Characteristics of road traffic mortality and distribution of healthcare resources in Thailand

Road traffic mortalities (RTMs), a leading cause of death globally, mostly occur in low- and middle-income countries, and having sufficient healthcare resources could lower the number of these fatalities. Our study aimed to illustrate the incidence of RTMs per 100,000 population and to compare the d...

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Autores principales: Seresirikachorn, Kasem, Singhanetr, Panisa, Soonthornworasiri, Ngamphol, Amornpetchsathaporn, Anyarak, Theeramunkong, Thanaruk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686261/
https://www.ncbi.nlm.nih.gov/pubmed/36424407
http://dx.doi.org/10.1038/s41598-022-24811-4
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author Seresirikachorn, Kasem
Singhanetr, Panisa
Soonthornworasiri, Ngamphol
Amornpetchsathaporn, Anyarak
Theeramunkong, Thanaruk
author_facet Seresirikachorn, Kasem
Singhanetr, Panisa
Soonthornworasiri, Ngamphol
Amornpetchsathaporn, Anyarak
Theeramunkong, Thanaruk
author_sort Seresirikachorn, Kasem
collection PubMed
description Road traffic mortalities (RTMs), a leading cause of death globally, mostly occur in low- and middle-income countries, and having sufficient healthcare resources could lower the number of these fatalities. Our study aimed to illustrate the incidence of RTMs per 100,000 population and to compare the distribution of healthcare resources from 2011 to 2021 with rates of RTMs in the 77 provinces of Thailand. We divided the population into adults (≥ 15 years) and children (0–14 years). Lorenz curve and Gini coefficient were used to measure the level of distribution and equality of hospital resources and in relation to RTMs across the country. The average number of deaths was 30.34 per 100,000 per year, with male predominance. The RTM rates for adults and children were 32.71 and 19.08 per 100,000 respectively, and motorcycle accidents accounted for the largest percentage of deaths across all age groups. The Gini coefficient showed that operating rooms (0.42) were the least equally distributed hospital resource, while physicians were the most equally distributed (0.34). Anomalies were identified between the distribution of RTMs and available hospital resources. We hope our study will be beneficial in reallocating these resources more fairly to reflect the different numbers of traffic accidents in each province with the aim of reducing lower traffic-related deaths.
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spelling pubmed-96862612022-11-26 Characteristics of road traffic mortality and distribution of healthcare resources in Thailand Seresirikachorn, Kasem Singhanetr, Panisa Soonthornworasiri, Ngamphol Amornpetchsathaporn, Anyarak Theeramunkong, Thanaruk Sci Rep Article Road traffic mortalities (RTMs), a leading cause of death globally, mostly occur in low- and middle-income countries, and having sufficient healthcare resources could lower the number of these fatalities. Our study aimed to illustrate the incidence of RTMs per 100,000 population and to compare the distribution of healthcare resources from 2011 to 2021 with rates of RTMs in the 77 provinces of Thailand. We divided the population into adults (≥ 15 years) and children (0–14 years). Lorenz curve and Gini coefficient were used to measure the level of distribution and equality of hospital resources and in relation to RTMs across the country. The average number of deaths was 30.34 per 100,000 per year, with male predominance. The RTM rates for adults and children were 32.71 and 19.08 per 100,000 respectively, and motorcycle accidents accounted for the largest percentage of deaths across all age groups. The Gini coefficient showed that operating rooms (0.42) were the least equally distributed hospital resource, while physicians were the most equally distributed (0.34). Anomalies were identified between the distribution of RTMs and available hospital resources. We hope our study will be beneficial in reallocating these resources more fairly to reflect the different numbers of traffic accidents in each province with the aim of reducing lower traffic-related deaths. Nature Publishing Group UK 2022-11-24 /pmc/articles/PMC9686261/ /pubmed/36424407 http://dx.doi.org/10.1038/s41598-022-24811-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Seresirikachorn, Kasem
Singhanetr, Panisa
Soonthornworasiri, Ngamphol
Amornpetchsathaporn, Anyarak
Theeramunkong, Thanaruk
Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title_full Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title_fullStr Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title_full_unstemmed Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title_short Characteristics of road traffic mortality and distribution of healthcare resources in Thailand
title_sort characteristics of road traffic mortality and distribution of healthcare resources in thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686261/
https://www.ncbi.nlm.nih.gov/pubmed/36424407
http://dx.doi.org/10.1038/s41598-022-24811-4
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