Evidence map›Paper›PMID 36350836›Full record

ArticlePloS one2022

Factors affecting bus accident severity in Thailand: A multinomial logit model.

Wiriya Mahikul, Ongvisit Aiyasuwan, Pashanun Thanartthanaboon, Wares Chancharoen, Paniti Achararit, Thakdanai Sirisombat, Phathai Singkham

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Wiriya MahikulPrincess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.ORCID 0000-0001-5834-5173
Ongvisit AiyasuwanDivision of Innovation and Research, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Pashanun ThanartthanaboonDivision of Innovation and Research, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Wares ChancharoenPrincess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.ORCID 0000-0002-5223-4867
Paniti AchararitPrincess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand.ORCID 0000-0003-2753-7580
Thakdanai SirisombatInstitute of Field Robotics, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.ORCID 0000-0003-4360-3525
Phathai SingkhamDivision of Innovation and Research, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-8945-9640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bus accidents are a serious issue, with high rates of injury and fatality in Thailand. However, no studies have been conducted on the factors affecting bus accident severity in Thailand. A cross-sectional study was conducted by the Department of Highways, Thailand over the 2010-2019 period. A multinomial logit model was used to evaluate the factors associated with bus accident severity. This model divided accidents into three categories: non-injury, injury, and fatality. The risk factors consisted of three major categories: the bus driver, characteristics of the crash, and environmental characteristics. The results showed that characteristics of the bus driver, the crash, and the environment where the crash occurred all increased the probability of bus accidents causing injury. These three main factors included driving on sloped roads (relative risk ratio [RRR] 3.03, 95% confidence level [CI] 1.73 to 5.30), drowsy driving (RRR 2.60, 95% CI 1.71 to 3.96), and driving in the wrong direction (RRR 2.37, 95% CI 1.77 to 3.19). Moreover, the factors that increased the probability of the accidents causing fatality were drowsy driving (RRR 3.40, 95% CI 2.07 to 5.57) and drivers not obeying or following traffic rules (RRR 3.02, 95% CI 1.95 to 4.67), especially in the northern part of Thailand (RRR 3.01, 95% CI 1.98 to 4.62). The results can provide a valuable resource to help road authorities in development targeting road safety programs at sloped roads in the northern part of Thailand. Stakeholders should increase road safety efforts and implement campaigns, such as raising public awareness of the risks of not obeying or following traffic rules and drowsy driving which could possibly reduce the risk of both injury and fatality.

Indexed as

Accidents, TrafficAutomobile DrivingCross-Sectional StudiesLogistic ModelsRisk FactorsThailand

Identifiers

PMID36350836
PMCPMC9645622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.