Factors Influencing Traffic Accidents Among the Elderly in Northern Iran: A Qualitative Content Analysis
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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Shiraz University of Medical Sciences
2025-04-01
|
Series: | Bulletin of Emergency and Trauma |
Subjects: | |
Online Access: | https://beat.sums.ac.ir/article_50956_d39a6e14f16e480ba5fe900f76d296c1.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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. |
---|---|
ISSN: | 2322-2522 2322-3960 |