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Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore
BACKGROUND: Systematically planning appropriate medical coverage for mass-participation running events is a challenge that has received relatively little attention in the medical literature, despite its potentially severe consequences. In particular, the literature lacks quantitative information on...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232663/ https://www.ncbi.nlm.nih.gov/pubmed/25345356 http://dx.doi.org/10.1186/1471-2458-14-1109 |
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author | Tan, Clive M Tan, Ian Wern Kok, Wai Leong Lee, Melvin C Lee, Vernon J |
author_facet | Tan, Clive M Tan, Ian Wern Kok, Wai Leong Lee, Melvin C Lee, Vernon J |
author_sort | Tan, Clive M |
collection | PubMed |
description | BACKGROUND: Systematically planning appropriate medical coverage for mass-participation running events is a challenge that has received relatively little attention in the medical literature, despite its potentially severe consequences. In particular, the literature lacks quantitative information on running events that medical planners can utilize for decisions on medical resource allocation and deployment. METHODS: Using a case-study approach, this study provides a detailed quantitative medical services utilization profile for the Singapore Army Half-Marathon, constructed from participant and casualty data spanning three years and comprising over 80,000 data points. Casualty rates for participants of varying age and sex in different running events were also estimated using a multivariate logistic regression model. Qualitatively, planning processes and practices were described and discussed. RESULTS: The quantitative profile yielded three main findings. Firstly, the analysis reveals that the gross Medical Usage Rate had remained fairly stable at between 16.9 and 26.0 casualties per 10,000 participants over the three years. Secondly, comparing injury types, musculoskeletal and soft-tissue injuries were the most commonly-presented injuries. Thirdly, more casualties presented at the race end-point as compared to the along the race routes. The regression analysis showed that, of the four modeled variables, the longer event distance (21 km vs. 10 km) had the largest effect on the likelihood that a participant would become a casualty. Conversely, being of an older age, being male, and running in a non-competitive event were each associated with lower casualty risk. CONCLUSIONS: The stable and intuitive casualty patterns detailed in this study provide a strong basis for further quantitative research on the medical aspects of running events, as well as for mass-participation sporting events in general. The qualitative aspects of this report may serve as a useful resource to medical planners for running events. |
format | Online Article Text |
id | pubmed-4232663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42326632014-11-16 Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore Tan, Clive M Tan, Ian Wern Kok, Wai Leong Lee, Melvin C Lee, Vernon J BMC Public Health Research Article BACKGROUND: Systematically planning appropriate medical coverage for mass-participation running events is a challenge that has received relatively little attention in the medical literature, despite its potentially severe consequences. In particular, the literature lacks quantitative information on running events that medical planners can utilize for decisions on medical resource allocation and deployment. METHODS: Using a case-study approach, this study provides a detailed quantitative medical services utilization profile for the Singapore Army Half-Marathon, constructed from participant and casualty data spanning three years and comprising over 80,000 data points. Casualty rates for participants of varying age and sex in different running events were also estimated using a multivariate logistic regression model. Qualitatively, planning processes and practices were described and discussed. RESULTS: The quantitative profile yielded three main findings. Firstly, the analysis reveals that the gross Medical Usage Rate had remained fairly stable at between 16.9 and 26.0 casualties per 10,000 participants over the three years. Secondly, comparing injury types, musculoskeletal and soft-tissue injuries were the most commonly-presented injuries. Thirdly, more casualties presented at the race end-point as compared to the along the race routes. The regression analysis showed that, of the four modeled variables, the longer event distance (21 km vs. 10 km) had the largest effect on the likelihood that a participant would become a casualty. Conversely, being of an older age, being male, and running in a non-competitive event were each associated with lower casualty risk. CONCLUSIONS: The stable and intuitive casualty patterns detailed in this study provide a strong basis for further quantitative research on the medical aspects of running events, as well as for mass-participation sporting events in general. The qualitative aspects of this report may serve as a useful resource to medical planners for running events. BioMed Central 2014-10-27 /pmc/articles/PMC4232663/ /pubmed/25345356 http://dx.doi.org/10.1186/1471-2458-14-1109 Text en © Tan et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tan, Clive M Tan, Ian Wern Kok, Wai Leong Lee, Melvin C Lee, Vernon J Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title | Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title_full | Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title_fullStr | Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title_full_unstemmed | Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title_short | Medical planning for mass-participation running events: a 3-year review of a half-marathon in Singapore |
title_sort | medical planning for mass-participation running events: a 3-year review of a half-marathon in singapore |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4232663/ https://www.ncbi.nlm.nih.gov/pubmed/25345356 http://dx.doi.org/10.1186/1471-2458-14-1109 |
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