Evidence map›Paper›PMID 40688805›Full record

ArticleBulletin of emergency and trauma2025

Factors Influencing Traffic Accidents Among the Elderly in Northern Iran: A Qualitative Content Analysis.

Nima Faghirpour, Enayatollah Homaie Rad, Leila Kouchakinejad, Zahra Mohtasham-Amiri

Abstract read
In one paragraph

Article in Bulletin of emergency and trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Nima FaghirpourGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.
Enayatollah Homaie RadSocial Determinants of Health Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.
Leila KouchakinejadGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.
Zahra Mohtasham-AmiriGuilan Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to explore experts' perspectives on the factors contributing to accidents involving the elderly in Guilan, Iran. Methods: This qualitative study employed conventional content analysis with an inductive approach in 2024. Fourteen experts from Guilan (Iran) were purposefully selected. Data were collected through individual face-to-face interviews using a semi-structured interview guide containing open-ended questions, which was developed through an expert panel discussion. All stages of data analysis were performed manually following the Graneheim and Lundman's approach. Results: Three main categories, 10 subcategories, and 29 key codes were identified. The "Individual Factors" category had six subcategories: physical abilities, psychological factors, traffic literacy, cultural attitudes, and Individual needs. The "Environmental Factors" had two subcategories: road and traffic infrastructure, and weather conditions. The "Policy-making" category consisted of three sub-categories: transportation safety, healthcare system, and public education. Conclusion: To reduce damages from elderly-related accidents, preventive measures should focus on improving health services, enhancing traffic education, and addressing specific behavioral and cultural factors. Additionally, enhancing infrastructure, designing age-appropriate vehicles, and implementing targeted policies could significantly mitigate accident risks among this population.

Indexed as

AgedTraffic accidentsVulnerable populations

Identifiers

PMID40688805
PMCPMC12275168

What OpenQuestion holds

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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.