Evidence map›Paper›PMID 32235768›Full record

ArticleInternational journal of environmental research and public health2020

Boda Bodas and Road Traffic Injuries in Uganda: An Overview of Traffic Safety Trends from 2009 to 2017.

Silvia D Vaca, Austin Y Feng, Seul Ku, Michael C Jin, Bina W Kakusa, Allen L Ho, Michael Zhang, Anthony Fuller, Michael M Haglund, Gerald Grant

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06491173 (Assessment of Accuracy, Precision, and Feasibility of a Handheld Near-Infrared Light Device), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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.

NCT06491173 nacompletednot on this mapstarted 2024, after this paper: background citation

Assessment of Accuracy, Precision, and Feasibility of a Handheld Near-Infrared Light Device (InfraScanner 2500™) in Detecting Traumatic Intracranial Hemorrhage in Uganda

TypeinterventionalSponsorDuke UniversityRan2024 to 2025Enrolled180ConditionsHead Trauma, Crushing Skull Injury, Head Injury, Head Injuries, MultipleArmsInfraScanner 2500™
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

10 authors.

Silvia D VacaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Austin Y FengDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Seul KuDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-3494-2955
Michael C JinDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Bina W KakusaDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-0907-2505
Allen L HoDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Michael ZhangDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.
Anthony FullerDivision of Global Neurosurgery and Neurology, Department of Neurosurgery, Duke University, Durham, NC 27710, USA.ORCID 0000-0001-8841-6948
Michael M HaglundDivision of Global Neurosurgery and Neurology, Department of Neurosurgery, Duke University, Durham, NC 27710, USA.
Gerald GrantDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA.

Funding

STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
NCI NIH HHS T32 CA009695
6 · The paper itself

Abstract

introductionRoad traffic injuries (RTIs) are an important contributor to the morbidity and mortality of developing countries. In Uganda, motorcycle taxis, known as boda bodas, are responsible for a growing proportion of RTIs. This study seeks to evaluate and comment on traffic safety trends from the past decade.

methodsTraffic reports from the Ugandan police force (2009 to 2017) were analyzed for RTI characteristics. Furthermore, one month of casualty ward data in 2015 and 2018 was collected from the Mulago National Referral Hospital and reviewed for casualty demographics and trauma type.

resultsRTI motorcycle contribution rose steadily from 2009 to 2017 (24.5% to 33.9%). While the total number of crashes dropped from 22,461 to 13,244 between 2010 and 2017, the proportion of fatal RTIs increased from 14.7% to 22.2%. In the casualty ward, RTIs accounted for a greater proportion of patients and traumas in 2018 compared to 2015 (10%/41% and 36%/64%, respectively).

conclusionsAlthough RTIs have seen a gross reduction in Uganda, they have become more deadly, with greater motorcycle involvement. Hospital data demonstrate a rising need for trauma and neurosurgical care to manage greater RTI patient burden. Combining RTI prevention and care pathway improvements may mitigate current RTI trends.

Indexed as

Accidents, TrafficWounds and InjuriesAdultFemaleHospitalsHumansMaleMotorcyclesPoliceUgandaAfricamotorcycleroad safetyroad traffic injurytraumatraumatic brain injuryUganda

Identifiers

PMID32235768
PMCPMC7143574

What OpenQuestion holds

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Registered trials

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.