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Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries

INTRODUCTION: Tracking progress towards Sustainable Development Goal (SDG) 3·6 of reducing traffic deaths and serious injuries poses a measurement challenge in most low-income and middle-income countries (LMICs) due to large discrepancies between reported official statistics and estimates from globa...

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Autores principales: Mitra, Sudeshna, Neki, Kazuyuki, Mbugua, Leah Watetu, Gutierrez, Hialy, Bakdash, Leen, Winer, Mercer, Balasubramaniyan, Ramshankar, Roberts, Jaeda, Vos, Theo, Hamilton, Erin, Naghavi, Mohsen, Harrison, James E, Job, R F Soames, Bhalla, Kavi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593700/
https://www.ncbi.nlm.nih.gov/pubmed/34782357
http://dx.doi.org/10.1136/bmjgh-2021-007296
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author Mitra, Sudeshna
Neki, Kazuyuki
Mbugua, Leah Watetu
Gutierrez, Hialy
Bakdash, Leen
Winer, Mercer
Balasubramaniyan, Ramshankar
Roberts, Jaeda
Vos, Theo
Hamilton, Erin
Naghavi, Mohsen
Harrison, James E
Job, R F Soames
Bhalla, Kavi
author_facet Mitra, Sudeshna
Neki, Kazuyuki
Mbugua, Leah Watetu
Gutierrez, Hialy
Bakdash, Leen
Winer, Mercer
Balasubramaniyan, Ramshankar
Roberts, Jaeda
Vos, Theo
Hamilton, Erin
Naghavi, Mohsen
Harrison, James E
Job, R F Soames
Bhalla, Kavi
author_sort Mitra, Sudeshna
collection PubMed
description INTRODUCTION: Tracking progress towards Sustainable Development Goal (SDG) 3·6 of reducing traffic deaths and serious injuries poses a measurement challenge in most low-income and middle-income countries (LMICs) due to large discrepancies between reported official statistics and estimates from global health measurement studies. We assess the extent to which national population censuses and health surveys can fill the information gaps. METHODS: We reviewed questionnaires for nationally representative surveys and censuses conducted since 2000 in LMICs. We identified sources that provide estimates of household ownership of vehicles, incidence of traffic deaths and non-fatal injuries, and prevalence of disability. RESULTS: We identified 802 data sources from 132 LMICs. Sub-Saharan African countries accounted for 43% of all measurements. The number of measurements since 2000 was high, with 97% of the current global LMIC population having at least one measurement for vehicle ownership, 77% for deaths, 90% for non-fatal injuries and 50% for disability due to traffic injuries. Recent data (since 2010) on traffic injuries were available from far fewer countries (deaths: 21 countries; non-fatal injuries: 62 and disability: 12). However, there were many more countries with recent data on less-specific questions about unintentional or all injuries (deaths: 41 countries, non-fatal: 87, disability: 32). CONCLUSION: Traffic injuries are substantially underreported in official statistics of most LMICs. National surveys and censuses provide a viable alternative information source, but despite a large increase in their use to monitor SDGs, traffic injury measurements have not increased. We show that relatively small modifications and additions to questions in forthcoming surveys can provide countries with a way to benchmark their existing surveillance systems and result in a substantial increase in data for tracking road traffic injuries globally.
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spelling pubmed-85937002021-11-24 Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries Mitra, Sudeshna Neki, Kazuyuki Mbugua, Leah Watetu Gutierrez, Hialy Bakdash, Leen Winer, Mercer Balasubramaniyan, Ramshankar Roberts, Jaeda Vos, Theo Hamilton, Erin Naghavi, Mohsen Harrison, James E Job, R F Soames Bhalla, Kavi BMJ Glob Health Original Research INTRODUCTION: Tracking progress towards Sustainable Development Goal (SDG) 3·6 of reducing traffic deaths and serious injuries poses a measurement challenge in most low-income and middle-income countries (LMICs) due to large discrepancies between reported official statistics and estimates from global health measurement studies. We assess the extent to which national population censuses and health surveys can fill the information gaps. METHODS: We reviewed questionnaires for nationally representative surveys and censuses conducted since 2000 in LMICs. We identified sources that provide estimates of household ownership of vehicles, incidence of traffic deaths and non-fatal injuries, and prevalence of disability. RESULTS: We identified 802 data sources from 132 LMICs. Sub-Saharan African countries accounted for 43% of all measurements. The number of measurements since 2000 was high, with 97% of the current global LMIC population having at least one measurement for vehicle ownership, 77% for deaths, 90% for non-fatal injuries and 50% for disability due to traffic injuries. Recent data (since 2010) on traffic injuries were available from far fewer countries (deaths: 21 countries; non-fatal injuries: 62 and disability: 12). However, there were many more countries with recent data on less-specific questions about unintentional or all injuries (deaths: 41 countries, non-fatal: 87, disability: 32). CONCLUSION: Traffic injuries are substantially underreported in official statistics of most LMICs. National surveys and censuses provide a viable alternative information source, but despite a large increase in their use to monitor SDGs, traffic injury measurements have not increased. We show that relatively small modifications and additions to questions in forthcoming surveys can provide countries with a way to benchmark their existing surveillance systems and result in a substantial increase in data for tracking road traffic injuries globally. BMJ Publishing Group 2021-11-15 /pmc/articles/PMC8593700/ /pubmed/34782357 http://dx.doi.org/10.1136/bmjgh-2021-007296 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. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Mitra, Sudeshna
Neki, Kazuyuki
Mbugua, Leah Watetu
Gutierrez, Hialy
Bakdash, Leen
Winer, Mercer
Balasubramaniyan, Ramshankar
Roberts, Jaeda
Vos, Theo
Hamilton, Erin
Naghavi, Mohsen
Harrison, James E
Job, R F Soames
Bhalla, Kavi
Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title_full Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title_fullStr Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title_full_unstemmed Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title_short Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
title_sort availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593700/
https://www.ncbi.nlm.nih.gov/pubmed/34782357
http://dx.doi.org/10.1136/bmjgh-2021-007296
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