Comprehensive Evaluation of Occupational Accidents in a Hospital Setting: Insights from L-Type Matrix and Fine-Kinney Risk Assessment Methods

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Muhammed Furkan Özden
Furkan Yıldız
Fahriye Naz Erdil
Sarper Yılmaz


Objective: The objective of this study was to comprehensively evaluate occupational accidents in a hospital setting using the L-Type matrix and Fine-Kinney risk assessment methods. The aim was to assess the frequency, severity, and associated risks of different types of accidents.

Methods: This single-center observational study analyzed occupational injuries that occurred to hospital employees between January 2018 and December 2022 in Arnavutköy State Hospital. Data were obtained from hospital records using a hospital information management system. Demographic characteristics, accident types, previous accident history, incapacity reports, L-Type matrix scores, and Fine-Kinney method scores were recorded. Risk scores were categorized based on predefined criteria.

Results: The study included 249 occupational accidents, with a mean age of 30.94±9.69 years. Needle stick injuries in the hand were the most common type of accident (72.7%), followed by falls and bumps (16.1%). The L-Type matrix assessment showed that 90% of accidents were mild, and none were severe. According to the Fine-Kinney method, 0.8% of accidents were in the very high-risk group. Multiple accidents were observed among 23.7% of employees, and 11.6% resulted in work disability reports.

Conclusion: Occupational accidents pose a significant risk to the safety and well-being of healthcare workers in hospitals. Needle stick injuries and falls or collisions were the most prevalent accidents. The use of risk assessment methods such as the L-Type matrix and Fine-Kinney approach allows for a comprehensive evaluation of occupational risks.


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How to Cite
Özden, M. F. ., Yıldız, F. ., Erdil, F. N. ., & Yılmaz, S. (2023). Comprehensive Evaluation of Occupational Accidents in a Hospital Setting: Insights from L-Type Matrix and Fine-Kinney Risk Assessment Methods. Medical Science and Discovery, 10(5), 348–352.
Research Article
Received 2023-05-19
Accepted 2023-05-26
Published 2023-05-26


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