Injury Biomechanics Research - An Essential Analysis of Magnitude of Head Trauma and Impact of Patient Safety Factors in Road Traffic Accidents Involving Two Wheeler Riders

This study aimed to predict injury patterns associated with different types of road traffic accidents involving two-wheeler riders, identify patient safety factors contributing to these injuries, and develop an injury analysis model. A total of 90 patients were divided into two groups: those involved in accidents with low motor vehicles and those with heavy motor vehicles. The study found that 95.6% of patients improved, with the majority managed conservatively, and lateral collisions were the most common type of impact (63.6%). Patients involved in lateral collisions had a higher incidence of severe injuries such as subdural hematoma (SDH), subarachnoid hemorrhage (SAH), diffuse axonal injury (DAI), and pneumocephalus compared to head-on and rear-end collisions. These findings suggest the need for improved patient safety measures, particularly for lateral collisions, to reduce injury severity and improve outcomes. Key words: Road Traffic Accidents (RTA), Two-wheeler Riders, Patient Safety Factors, Injury Patterns, Trauma Outcome, Injury Severity, Injury Analysis Model

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Publication Details

Journal
International Journal of Health Sciences and Research
Published
2024-10-21
DOI
https://doi.org/10.52403/ijhsr.20241046
Citations
1
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.42
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article

Injury Biomechanics Research - An Essential Analysis of Magnitude of Head Trauma and Impact of Patient Safety Factors in Road Traffic Accidents Involving Two Wheeler Riders

N. T. Murali Mohan, Rakshith Bangera K, P V Dhruva
1 citations
International Journal of Health Sciences and Research
Automotive and Human Injury Biomechanics
0.42
article

Injury Biomechanics Research - An Essential Analysis of Magnitude of Head Trauma and Impact of Patient Safety Factors in Road Traffic Accidents Involving Two Wheeler Riders

N. T. Murali Mohan, Rakshith Bangera K, P V Dhruva
article en
1 citations

Abstract

This study aimed to predict injury patterns associated with different types of road traffic accidents involving two-wheeler riders, identify patient safety factors contributing to these injuries, and develop an injury analysis model. A total of 90 patients were divided into two groups: those involved in accidents with low motor vehicles and those with heavy motor vehicles. The study found that 95.6% of patients improved, with the majority managed conservatively, and lateral collisions were the most common type of impact (63.6%). Patients involved in lateral collisions had a higher incidence of severe injuries such as subdural hematoma (SDH), subarachnoid hemorrhage (SAH), diffuse axonal injury (DAI), and pneumocephalus compared to head-on and rear-end collisions. These findings suggest the need for improved patient safety measures, particularly for lateral collisions, to reduce injury severity and improve outcomes. Key words: Road Traffic Accidents (RTA), Two-wheeler Riders, Patient Safety Factors, Injury Patterns, Trauma Outcome, Injury Severity, Injury Analysis Model

International Journal of Health Sciences and ResearchVol. 14(10)
Institute of Medical Sciences (IN)
Good health and well-being
Openalex Percentile: Top 32%
Automotive and Human Injury Biomechanics
0.42
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