Evidence map›Paper›PMID 39256464›Full record

ArticleScientific reports2024

A qualitative study on apparent and latent contributing factors to driving errors in Iran.

Seyed Meysam Mortazavi, Homayoun Sadeghi-Bazargani, Soheyla Ahmadi Charkhabi, Yahya Rasoulzadeha, Haidar Nadrian

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Seyed Meysam MortazaviDepartment of Occupational Health and Ergonomics, Faculty of Health, Tabriz University of Medical Sciences, University Street, P.O. Box: 5165665931, Tabriz, Iran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran.
Soheyla Ahmadi CharkhabiStudent Research Committee, Department of Ergonomics, Faculty of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Yahya RasoulzadehaDepartment of Occupational Health and Ergonomics, Faculty of Health, Tabriz University of Medical Sciences, University Street, P.O. Box: 5165665931, Tabriz, Iran. rasoulzadehy@tbzmed.ac.ir.
Haidar NadrianSocial Determinants of Health Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

Tabriz University of Medical Sciences IR.TBZMED.REC.1399.1112
6 · The paper itself

Abstract

Road traffic crashes (RTCs) disproportionately impact low and middle-income countries (LMICs). Current interventions in LMICs primarily target road user behavior, neglecting systemic issues and casting drivers as mere contributors. Given Iran's unique cultural, financial, and social intricacies, this study aims to explore the latent causes of RTCs, prioritizing drivers' experiences and encompassing insights from various traffic system components. Applying a qualitative approach, data were collected through 46 semi-structured interviews with 38 participants, including drivers and experts from traffic-related organizations. Content analysis identified ten themes as contributing to driving errors. Direct factors included fatigue influenced by economic and occupational conditions, distraction from internal and external sources, reckless behaviors influenced by traffic culture and environment, and Inadequate driving skills due to training. Macro-scale challenges in road infrastructure, vehicle quality, education, and accident investigations were highlighted. The lack of a centralized traffic safety authority and a predominant focus on penalizing drivers overshadowed systemic issues. The study offers valuable insights into the complex interplay of factors contributing to driving errors in LMICs, advocating for a paradigm shift towards holistic, systemic interventions beyond individual driver behavior and challenging the conventional blame-centric view associated with driving errors.

Indexed as

Accidents, TrafficAutomobile DrivingQualitative ResearchAdultFemaleHumansIranMaleMiddle AgedDriver errorsLow and middle-income countries (LMICs)Road traffic crashes (RTCs)Road usersTraffic injuriesTraffic safety

Identifiers

PMID39256464
PMCPMC11387806

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LicenceCC BY-NC-ND
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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.