Evidence map›Paper›PMID 39967514›Full record

ArticleJournal of injury & violence research2025

National road traffic accident information system in Iran and selected countries.

Mahrokh Anvari, Hassan Emami, Azamossadat Hosseini, Ali Delpisheh, Farkhondeh Asadi

Abstract read
In one paragraph

Article in Journal of injury & violence research, 2025. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mahrokh AnvariDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hassan EmamiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: haemami@sbmu.ac.ir.
Azamossadat HosseiniDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: souhosseini@sbmu.ac.ir.
Ali DelpishehSchool of Health & Safety, Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farkhondeh AsadiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Road Traffic Accident Information System is crucial in enhancing road and traffic safety by providing managers and policymakers with systematic access to and analysis of crash data. Accordingly, the present study aims to review the data collection and exchange processes within these systems and to identify the roles and significance of the participating organizations.

methodsThe current study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Comprehensive literature searches were carried out using Scientific Information Database (SID), Google Scholar, Science Direct, and PubMed with the publication date range restricted to 1995-2024. Screening and selection of the studies retrieved were performed based on predefined inclusion and exclusion criteria. The quality assessment of the studies included in this review was conducted using the Mixed Methods Appraisal Tool (MMAT) and the Critical Appraisal Skills Programme (CASP).

resultsOf the 22 studies included, 10 (45%) focused on data collection and recording within the National Road Traffic Accident Information System. Seven studies (31%) examined the role and significance of the organizations involved with these systems, while five studies (22%) focused on the data exchange process. According to the MMAT evaluation criteria, 13 studies (81%) demonstrated a low risk of bias, indicating a high level of quality. In contrast, two studies (12%) showed a moderate risk of bias, and one study (6%) had a high risk of bias, meeting less than 50% of the assessed criteria. Based on the CASP evaluation of the six review studies, four (66%) showed a low risk of bias, while two (33%) exhibited a moderate risk of bias.

conclusionsThe findings of this review highlight the critical importance of prioritizing a leading organization and delineating a standardized minimum crash dataset. This approach has the potential to streamline the data recording process, foster inter-organizational communication and coordination, mitigate the occurrence of contradictory reports, and enhance the overall effectiveness of decision-making.

Indexed as

Accidents, TrafficInformation SystemsHumansIran

Identifiers

PMID39967514
PMCPMC13184769

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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.