Evidence map›Paper›PMID 39379952›Full record

ArticleBMC public health2024

Assessing public trust in road traffic injuries prevention policies in Iran: a cross-sectional study.

Esmail Ezzati, Mohammad Saadati, Deniz Naghibi, Mehran Sardareh, Reza Ali Akbari Khoei, Saber Azami-Aghdash

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Esmail EzzatiDepartment of Epidemiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran.
Mohammad SaadatiRoad Traffic Injury Research center, Tabriz University of Medical Sciences, Tabriz, Iran.
Deniz NaghibiDepartment of Public Health Sciences, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
Mehran SardarehStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza Ali Akbari KhoeiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Saber Azami-AghdashTabriz Health Services Management Research Center, Department of Health Management and Policy, Faculty of Medical Information and Management, Tabriz University of Medical Sciences, Tabriz, Iran. s.azami.a90@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectiveRoad Traffic Injuries (RTIs) represent the predominant cause of morbidity and mortality globally. Thus, impactful interventions and trustworthy authorities are imperative to mitigate traffic accidents. The present study seeks to assess public trust in traffic accident diminution policies and measures within the country of Iran.

methodThis cross-sectional study utilized a questionnaire comprising 31 questions distributed across eight dimensions. The questionnaire's design was informed by a literature review and semi-structured interviews with experts specializing in traffic accidents. The target population consisted of Tabriz city residents, who were selected via convenience sampling. The collected data were then analyzed using SPSS-16 software, employing the T-test, One-way ANOVA, and Pearson correlation coefficient to present the study's results. structural equation modeling (SEM) was conducted using R 4-4-2 programming language.

resultsA total of 681 participants completed the questionnaire, yielding a commendable response rate of 88.6%. The majority of participants were male (60.8%), and 86.2% identified as drivers, with 61.8% having experienced driving accidents. The overall score for public trust in RTIs policies was calculated to be 46.9%. The individual scores for specific domains of trust in traffic safety were as follows: safer roads (43.1%), safe vehicle (43.3%), safety laws (48.8%), safe user (51.1%), safe technology (51.5%), road safety management (46.8%). All the latent variables except education are significantly effective on public trust.

conclusionThe study findings indicate relatively low levels of public trust in RTIs policies among the Iranian population. These results emphasize the need for targeted interventions to enhance public confidence in specific aspects of traffic safety. Policymakers can use these insights to implement effective measures, thus contributing to the RTIs and the promotion of road safety in the country.

Indexed as

Accidents, TrafficTrustWounds and InjuriesAdolescentAdultCross-Sectional StudiesFemaleHealth PolicyHumansIranMaleMiddle AgedPublic OpinionSurveys and QuestionnairesYoung AdultAssessmentPolicyPreventionPublic trustRoad traffic injuries

Identifiers

PMID39379952
PMCPMC11462903

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.