Evidence map›Paper›PMID 28039687›Full record

ArticleJournal of injury & violence research2017

Road traffic incidents in Uganda: a systematic review study of a five-year trend.

Joseph Kimuli Balikuddembe, Ali Ardalan, Davoud Khorasani-Zavareh, Amir Nejati, Kasiima Stephen Munanura

Abstract read
In one paragraph

Article in Journal of injury & violence research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

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

18 citing papers in PubMed.

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  15. Boda Bodas and Road Traffic Injuries in Uganda: An Overview of Traffic Safety Trends from 2009 to 2017.International journal of environmental research and public health · 2020
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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

5 authors.

Joseph Kimuli Balikuddembe
Ali ArdalanDepartment of Disaster Public Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. Email: aardalan@tums.ac.ir.
Davoud Khorasani-Zavareh
Amir Nejati
Kasiima Stephen Munanura

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the years, Uganda has been one of the low and middle-income countries bearing the heaviest burden of road traffic incidents (RTI). Since the proclamation of the United Nations Decade of Action for Road Safety 2011 - 2020, a number of measures have been taken to reduce the burden. However, they ought to be premised on existing evidence-based research; therefore, the present review ventures to report the most recent five-year trend of RTI in Uganda.

methodsBased on Preferred Reporting Items for Systematic Reviews and Meta-Data Analysis (PRISMA) guidelines, a systematic review was employed. Using a thematic analysis, the articles were grouped into: trauma etiology, trauma care, mortality, cost, trauma registry and communication, intervention and treatment for final analysis.

resultsOf the nineteen articles that were identified to be relevant to the study, the etiology of RTI was inevitably observed to be an important cause of injuries in Uganda. The risk factors cut across: the crash type, injury physiology, cause, victims, setting, age, economic status, and gender. All studies that were reviewed have advanced varying recommendations aimed at responding to the trend of RTIs in Uganda, of which some are in tandem with the five pillars of the United Nations Decade of Action for Road Safety 2011 - 2020.

conclusionsPeripheral measures of the burden of RTIs in Uganda were undertaken within afive-year timeframe (2011-2015) of implementing the United Nations Decade of Action for Road Safety. The measures however, ought to be scaled-up on robust evidence based research available from all the concerned stakeholders beyond Kampala or central region to other parts of Uganda.

Identifiers

PMID28039687
PMCPMC5279989

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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.