决策支持技术用于确定工人的健康问题与他们的工作活动之间的因果关系
Douglas de Almeida Martins1,2, Dalessandro Soares Vianna2, Marcilene de Fatima Dianin Vianna2
1Division of Health Forensics, Universidade Federal Fluminense (UFF), Rio das Ostras, RJ, Brazil.
概括
确定工人健康问题与工作活动之间的联系是复杂的. 一项审查发现,很少有文章详细介绍因果关系技术,没有文章使用多标准决策分析.
科学领域:
- 职业健康 职业健康 职业健康
- 流行病学 流行病学
- 图书统计学 图书统计学
背景情况:
- 在职业活动和工人健康问题之间建立因果关系是具有挑战性的.
- 现有的科学文献缺乏全面的方法来确定这一点.
- 在这种情况下,多标准决策分析 (MCDA) 的实用性尚未被探索.
研究的目的:
- 量化用于确定工人健康问题与工作活动之间的因果关系的技术.
- 确定详细介绍确定职业因果关系的方法的科学文章.
- 评估这个研究领域是否存在多标准决策分析.
主要方法:
- 在多个数据库 (部委期刊门户网站,盖尔学术一档,SciVerse Scopus,SciELO,PubMed Central) 进行了文献计量分析.
- 搜索用葡萄牙语,西班牙语和英语进行.
- 总共有150篇相关文章被选中进行内容分析.
主要成果:
- 只有一篇文章 (0.66%) 描述了一种特定的技术 (瘤疾病的因果关系概率) 用于确定职业因果关系.
- 33.33%的文章涉及疾病与工作之间的一般因果关系.
- 没有文章使用多标准决策分析来确定职业因果关系.
结论:
- 关于确定工作和疾病之间的因果关系的方法,科学文献中存在很大的差距.
- 需要进一步研究和传播方法来帮助确定职业因果关系.
- 目前为此目的没有采用多标准决策分析,这表明了未来研究的潜在领域.
相关概念视频
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Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
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Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
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