Cargando…

Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022

BACKGROUND: The toll associated with road traffic crashes (RTC) is high, and the burden of injury is disproportionately borne by pedestrians and motor riders, particularly in developing countries. This study synthesized the factors associated with motorcycle-related RTC in Africa. METHODS: The PICO...

Descripción completa

Detalles Bibliográficos
Autores principales: Konlan, Kennedy Diema, Hayford, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981755/
https://www.ncbi.nlm.nih.gov/pubmed/35382791
http://dx.doi.org/10.1186/s12889-022-13075-2
_version_ 1784681669101355008
author Konlan, Kennedy Diema
Hayford, Linda
author_facet Konlan, Kennedy Diema
Hayford, Linda
author_sort Konlan, Kennedy Diema
collection PubMed
description BACKGROUND: The toll associated with road traffic crashes (RTC) is high, and the burden of injury is disproportionately borne by pedestrians and motor riders, particularly in developing countries. This study synthesized the factors associated with motorcycle-related RTC in Africa. METHODS: The PICO framework and the PRISMA guidelines for conducting reviews were incorporated in searching, screening, and reporting the findings. Advanced search in five electronic databases (Google Scholar, PubMed Central, Scopus, CINAHL, and Embase) yielded 2552 titles and 22 from manual search, filtered for 2016 to 2022 (to generate 1699) and then further for primary studies (854). Through the title, abstract and full-text screening, 22 were appropriate for this review. Data extraction was done by the two researchers independently, and the results were compared. Convergent synthesis was adopted to integrate results, transformed into a narrative, and analyzed using thematic synthesis. RESULTS: The four main themes identified were the rider-related, non-rider-related factors, prevalence and severity of injuries from RTC, and the measures to reduce RTC. The behavioral factors associated with RTC were alcohol use, smoking, use of illicit drugs, tiredness of rider, poor knowledge on traffic regulations, more than one pillow rider, lack of rider license, non-observance of traffic regulations, and non-use of personal protective equipment. Road traffic crashes were common among younger age and male gender. Other factors identified included poor road network, unplanned stoppage by police, unlawful vehicular packing, increased urbanization, and slippery floors. CONCLUSION: There is the need to institute multi-sectoral measures that target riders’ behavior change. Coordinated efforts should target governments, enforcement authorities, and regulatory bodies to enforce enactment that ensures safe use of roads.
format Online
Article
Text
id pubmed-8981755
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-89817552022-04-06 Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022 Konlan, Kennedy Diema Hayford, Linda BMC Public Health Research BACKGROUND: The toll associated with road traffic crashes (RTC) is high, and the burden of injury is disproportionately borne by pedestrians and motor riders, particularly in developing countries. This study synthesized the factors associated with motorcycle-related RTC in Africa. METHODS: The PICO framework and the PRISMA guidelines for conducting reviews were incorporated in searching, screening, and reporting the findings. Advanced search in five electronic databases (Google Scholar, PubMed Central, Scopus, CINAHL, and Embase) yielded 2552 titles and 22 from manual search, filtered for 2016 to 2022 (to generate 1699) and then further for primary studies (854). Through the title, abstract and full-text screening, 22 were appropriate for this review. Data extraction was done by the two researchers independently, and the results were compared. Convergent synthesis was adopted to integrate results, transformed into a narrative, and analyzed using thematic synthesis. RESULTS: The four main themes identified were the rider-related, non-rider-related factors, prevalence and severity of injuries from RTC, and the measures to reduce RTC. The behavioral factors associated with RTC were alcohol use, smoking, use of illicit drugs, tiredness of rider, poor knowledge on traffic regulations, more than one pillow rider, lack of rider license, non-observance of traffic regulations, and non-use of personal protective equipment. Road traffic crashes were common among younger age and male gender. Other factors identified included poor road network, unplanned stoppage by police, unlawful vehicular packing, increased urbanization, and slippery floors. CONCLUSION: There is the need to institute multi-sectoral measures that target riders’ behavior change. Coordinated efforts should target governments, enforcement authorities, and regulatory bodies to enforce enactment that ensures safe use of roads. BioMed Central 2022-04-05 /pmc/articles/PMC8981755/ /pubmed/35382791 http://dx.doi.org/10.1186/s12889-022-13075-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Konlan, Kennedy Diema
Hayford, Linda
Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title_full Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title_fullStr Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title_full_unstemmed Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title_short Factors associated with motorcycle-related road traffic crashes in Africa, a Scoping review from 2016 to 2022
title_sort factors associated with motorcycle-related road traffic crashes in africa, a scoping review from 2016 to 2022
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981755/
https://www.ncbi.nlm.nih.gov/pubmed/35382791
http://dx.doi.org/10.1186/s12889-022-13075-2
work_keys_str_mv AT konlankennedydiema factorsassociatedwithmotorcyclerelatedroadtrafficcrashesinafricaascopingreviewfrom2016to2022
AT hayfordlinda factorsassociatedwithmotorcyclerelatedroadtrafficcrashesinafricaascopingreviewfrom2016to2022