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Methodological considerations in MVC epidemiological research
BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, identifying risk factors and evaluating interventi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005794/ https://www.ncbi.nlm.nih.gov/pubmed/33199349 http://dx.doi.org/10.1136/injuryprev-2020-043987 |
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author | Fridman, Liraz Rothman, Linda Howard, Andrew William Hagel, Brent E Macarthur, Colin |
author_facet | Fridman, Liraz Rothman, Linda Howard, Andrew William Hagel, Brent E Macarthur, Colin |
author_sort | Fridman, Liraz |
collection | PubMed |
description | BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, identifying risk factors and evaluating interventions. There are, however, several methodological considerations in MVC epidemiological research. METHODS: This manuscript collates and describes methodological considerations in MVC epidemiological research, using examples drawn from published studies, with a focus on the vulnerable road user population of children and adolescents. RESULTS: Methodological considerations in MVC epidemiological research include the availability and quality of data to measure counts and calculate event rates and challenges in evaluation related to study design, measurement and statistical analysis. Recommendations include innovative data collection (eg, naturalistic design, stepped-wedge clinical trials), combining data sources for a more comprehensive representation of collision events, and the use of machine learning/artificial intelligence for large data sets. CONCLUSIONS: MVC epidemiological research can be challenging at all levels: data capture and quality, study design, measurement and analysis. Addressing these challenges using innovative data collection and analysis methods is required. |
format | Online Article Text |
id | pubmed-8005794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-80057942021-04-16 Methodological considerations in MVC epidemiological research Fridman, Liraz Rothman, Linda Howard, Andrew William Hagel, Brent E Macarthur, Colin Inj Prev Methodology BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, identifying risk factors and evaluating interventions. There are, however, several methodological considerations in MVC epidemiological research. METHODS: This manuscript collates and describes methodological considerations in MVC epidemiological research, using examples drawn from published studies, with a focus on the vulnerable road user population of children and adolescents. RESULTS: Methodological considerations in MVC epidemiological research include the availability and quality of data to measure counts and calculate event rates and challenges in evaluation related to study design, measurement and statistical analysis. Recommendations include innovative data collection (eg, naturalistic design, stepped-wedge clinical trials), combining data sources for a more comprehensive representation of collision events, and the use of machine learning/artificial intelligence for large data sets. CONCLUSIONS: MVC epidemiological research can be challenging at all levels: data capture and quality, study design, measurement and analysis. Addressing these challenges using innovative data collection and analysis methods is required. BMJ Publishing Group 2021-04 2020-11-16 /pmc/articles/PMC8005794/ /pubmed/33199349 http://dx.doi.org/10.1136/injuryprev-2020-043987 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Methodology Fridman, Liraz Rothman, Linda Howard, Andrew William Hagel, Brent E Macarthur, Colin Methodological considerations in MVC epidemiological research |
title | Methodological considerations in MVC epidemiological research |
title_full | Methodological considerations in MVC epidemiological research |
title_fullStr | Methodological considerations in MVC epidemiological research |
title_full_unstemmed | Methodological considerations in MVC epidemiological research |
title_short | Methodological considerations in MVC epidemiological research |
title_sort | methodological considerations in mvc epidemiological research |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005794/ https://www.ncbi.nlm.nih.gov/pubmed/33199349 http://dx.doi.org/10.1136/injuryprev-2020-043987 |
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