Evidence map›Paper›PMID 34782357›Full record

ArticleBMJ global health2021

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.

Sudeshna Mitra, Kazuyuki Neki, Leah Watetu Mbugua, Hialy Gutierrez, Leen Bakdash, Mercer Winer, Ramshankar Balasubramaniyan, Jaeda Roberts, Theo Vos, Erin Hamilton and 4 more

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sudeshna MitraWorld Bank Global Road Safety Facility, Washington, District of Columbia, USA.
Kazuyuki NekiWorld Bank Global Road Safety Facility, Washington, District of Columbia, USA.ORCID 0000-0003-4781-0978
Leah Watetu MbuguaWorld Bank Global Road Safety Facility, Washington, District of Columbia, USA.
Hialy GutierrezDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Leen BakdashDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Mercer WinerDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Ramshankar BalasubramaniyanDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.
Jaeda RobertsDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-9241-466X
Theo VosInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Erin HamiltonInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, Seattle, Washington, USA.ORCID 0000-0002-6209-1513
James E HarrisonResearch Center for Injury Studies, Flinders University, Adelaide, South Australia, Australia.
R F Soames JobWorld Bank Global Road Safety Facility, Washington, District of Columbia, USA.
Kavi BhallaDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois, USA kavibhalla@gmail.com.ORCID 0000-0002-6679-7820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTracking 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.

methodsWe 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.

resultsWe 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).

conclusionTraffic 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.

Indexed as

Accidents, TrafficDeveloping CountriesHumansIncidenceInformation Storage and RetrievalPovertyinjury

Identifiers

PMID34782357
PMCPMC8593700

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.