Evidence map›Paper›PMID 16798755›Full record

ArticleBMJ (Clinical research ed.)2006

Unsafe driving behaviour and four wheel drive vehicles: observational study.

Lesley Walker, Jonathan Williams, Konrad Jamrozik

Abstract readMulticenter Study
In one paragraph

Article in BMJ (Clinical research ed.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Observational
  3. The Peltzman effect and compensatory markers in medicine.Healthcare (Amsterdam, Netherlands) · 2014
    Article
  4. Review
  5. Article
  6. Death on the roads: article lacks logic.BMJ (Clinical research ed.) · 2006
    Article
  7. Article
  8. Article
  9. Article
  10. Death and injury on roads.BMJ (Clinical research ed.) · 2006
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Lesley WalkerDepartment of Primary Care and Social Medicine, Imperial College, London.
Jonathan Williams
Konrad Jamrozik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the level of compliance with the new law in the United Kingdom mandating penalties for using a hand held mobile phone while driving, to compare compliance with this law with the one on the use of seat belts, and to compare compliance with these laws between drivers of four wheel drive vehicles and drivers of normal cars.

designObservational study with two phases-one within the "grace" period, the other starting one week after penalties were imposed on drivers using such telephones.

settingThree busy sites in London.

participantsDrivers of 38,182 normal cars and 2944 four wheel drive vehicles.

main outcome measuresProportions of drivers seen to be using hand held mobile phones and not using seat belts.

resultsDrivers of four wheel drive vehicles were more likely than drivers of other cars to be seen using hand held mobile phones (8.2% v 2.0%) and not complying with the law on seat belts (19.5% v 15.0%). Levels of non-compliance with both laws were slightly higher in the penalty phase of observation, and breaking one law was associated with increased likelihood of breaking the other.

conclusionsThe level of non-compliance with the law on the use of hand held mobile phones by drivers in London is high, as is non-compliance with the law on seat belts. Drivers of four wheel drive vehicles were four times more likely than drivers of other cars to be seen using hand held mobile phones and slightly more likely not to comply with the law on seat belts.

Indexed as

Automobile DrivingAutomobilesCell PhoneCrimeHumansLondonRisk-TakingSafetySeat Belts

Identifiers

PMID16798755
PMCPMC1489223

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.