Investigation of Occupational Health and Safety Levels in Genetic Disease Centers in Istanbul

IF 2.6 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Vedat Caner, Ferdi Tanir
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引用次数: 0

Abstract

Background

Genetic disorders significantly impact public health and quality of life, necessitating precise and timely diagnosis for effective risk management and treatment. Genetic diagnostic centers (GDCs) play a critical role in this process but face numerous occupational health and safety (OHS) challenges. The classification of GDCs based solely on biosafety levels is insufficient for assessing their overall OHS conditions. This study aims to systematically evaluate OHS practices in GDCs and propose a new classification approach based on hazard dimensions.

Methods

This cross-sectional study was conducted in 15 GDCs in Istanbul, including two public and 13 private facilities with 75 employees. Data were collected through a structured survey with 49 statements covering seven hazard dimensions. Regression and correlation analyses were used to assess the impacts and interrelationships of these dimensions on risk management. Principal Component Analysis (PCA) was applied for dimensionality reduction, and the k-Nearest Neighbours (k-NN) algorithm classified laboratories into safety levels.

Results

Personal protective equipment had the highest impact on risk management (56.3%), while physical security had the lowest (34.8%). Among the 21 identified hazard relationships, 18 were very strong and three were strong. PCA reduced the data into three primary components, explaining 81.9% of the variance. The k-NN algorithm achieved a classification accuracy of 93.33%, consolidating six hazard dimensions into three and categorizing centers into three safety levels.

Conclusion

The findings emphasize the need for an updated OHS classification for GDCs beyond biosafety levels. Integrating hazard dimensions into safety assessments can improve risk management and enhance laboratory safety standards.

Abstract Image

伊斯坦布尔遗传疾病中心职业健康和安全水平调查。
背景:遗传性疾病显著影响公众健康和生活质量,需要精确和及时的诊断以进行有效的风险管理和治疗。遗传诊断中心(gdc)在这一过程中发挥着关键作用,但面临着许多职业健康和安全(OHS)挑战。仅根据生物安全水平对gdc进行分类不足以评估其总体OHS状况。本研究旨在系统评估gdc的职业健康安全实践,并提出一种基于危害维度的新分类方法。方法:本横断面研究在伊斯坦布尔的15个gdc中进行,包括两个公共设施和13个私人设施,共有75名员工。数据是通过一项结构化调查收集的,该调查包含49个陈述,涵盖七个危险维度。使用回归和相关分析来评估这些维度对风险管理的影响和相互关系。采用主成分分析(PCA)进行降维,并采用k-最近邻(k-NN)算法将实验室划分为安全级别。结果:个人防护用品对风险管理影响最大(56.3%),实物安全影响最小(34.8%)。在21个确定的危险关系中,18个非常强,3个很强。PCA将数据简化为三个主要成分,解释了81.9%的方差。k-NN算法将6个危险维度合并为3个,并将中心划分为3个安全级别,分类准确率达到93.33%。结论:研究结果强调有必要对生物安全水平以外的GDCs进行更新的OHS分类。将危害维度纳入安全评估可以改善风险管理并提高实验室安全标准。
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来源期刊
Journal of Clinical Laboratory Analysis
Journal of Clinical Laboratory Analysis 医学-医学实验技术
CiteScore
5.60
自引率
7.40%
发文量
584
审稿时长
6-12 weeks
期刊介绍: Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.
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