Evidence map›Paper›PMID 33009004›Full record

ArticleJournal of injury & violence research2021

Risk factors associated with road traffic injuries at the prone-areas in Kampala city: a retrospective cross-sectional study.

Joseph Kimuli Balikuddembe, Ali Ardalan, Kasiima M Stephen, Owais Raza, Davoud Khorasani-Zavareh

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In one paragraph

Article in Journal of injury & violence research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joseph Kimuli BalikuddembeInstitute for Disaster Management and Reconstruction, Sichuan University, Chengdu, China and Hong Kong Polytechnic University.
Ali ArdalanDepartment of Disaster Public Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; T. H. Chan Harvard School of Public Health, Cambridge, USA.
Kasiima M StephenDirectorate of Road Traffic and Road Safety, Uganda Police Force, Kampala, Uganda.
Owais RazaPresident's Primary Healthcare Initiative (PPHI) Sindh, Karachi, Pakistan.
Davoud Khorasani-ZavarehWorkplace Health Promotion Research Center (WHPRC), Department of Health in Emergencies and Disasters, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: davoud.khorasani@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoad traffic injuries (RTIs) pose a disproportionate public health burden in the low and middle-income countries (LMICs) like Uganda, with 85% of all the fatalities and 90% of all disability-adjusted life years lost reported worldwide. Of all RTIs which are recorded in Uganda, 50% of cases happen in Kampala -the capital city of Uganda and the nearby cities. Identifying the RTI prone-areas and their associated risk factors can help to inform road safety and prevention measures aimed at reducing RTIs, particularly in emerging cities such as Kampala.

methodsThis study was based on a retrospective cross-sectional design to analyze a five year (2011 - 2015) traffic crash data of the Uganda Police Force.

resultsAccordingly, 60 RTI prone-areas were identified to exist across the Kampala. They were ranked as low and high risk areas; 41 and 19, respectively and with the majority of the latter based in the main city center. The bivariate analysis showed a significant association between identified prone-areas and population flow (OR: 4.89, P-value: 0.01) and traffic flow time (OR: 9.06, P-value: 0.01). On the other hand, the multivariate regression analysis only showed traffic flow time as the significant predictor (OR: 6.27, P-value: 0.02) at identified RTI prone-areas.

conclusionsThe measures devised to mitigate RTI in an emerging city like Kampala should study thoroughly the patterns of traffic and population flow to help to optimize the use of available resources for effective road safety planning, injury prevention and sustainable transport systems.

Indexed as

Accidents, TrafficWounds and InjuriesCitiesCross-Sectional StudiesHumansRetrospective StudiesRisk FactorsUganda

Identifiers

PMID33009004
PMCPMC8142341

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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.