Evidence map›Paper›PMID 17296693›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2007

The economic cost of road traffic crashes in an urban setting.

A García-Altés, K Pérez

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  3. Article
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  9. Article
  10. Analysis of Hospital Costs in Road Traffic Injuries.Bulletin of emergency and trauma · 2021
    Article
  11. Article
  12. Economic Burden of Road Traffic Injuries in Nepal.International journal of environmental research and public health · 2020
    Article
  13. Article
  14. Article
  15. Public Health Profile of Road Traffic Accidents in Kosovo 2010-2015.Open access Macedonian journal of medical sciences · 2017
    Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
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

2 authors.

A García-AltésAgència de Salut Pública de Barcelona, Barcelona, Spain. agarcia@aspb.es
K Pérez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this article is to assess the total economic costs of road traffic crashes in Barcelona, a metropolitan city located in Southern Europe. A cost-of-illness study was conducted using a prevalence approximation, a societal and healthcare system perspective, and a 1-year time horizon. Results were measured in terms of Euros in 2003. Total costs of road traffic crashes in Barcelona in 2003 were euro367 million. Direct costs equalled euro329 million (89.8% of total costs), including property damage costs, insurance administration costs and hospital costs. Police, emergency costs and transportation costs had a minimum effect on total direct costs. Indirect costs were euro37 million, including lost productivity due to hospitalization and mortality. The results of the sensitivity analysis showed the upper limit of total economic cost of road traffic crashes in Barcelona to be euro782 million. This is the first study to estimate the costs of road traffic crashes for a city in a developed country. The importance of the problem calls for further interventions to reduce road traffic crashes.

Indexed as

CitiesDeveloped CountriesAccidents, TrafficCost of IllnessCosts and Cost AnalysisEmergency TreatmentHealth Care CostsHumansPublic SectorSpain

Identifiers

PMID17296693
PMCPMC2610566

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.