Martins Douglas de Almeida, Vianna Dalessandro Soares, Vianna Marcilene de Fátima Dianin
Division of Health Expertise, Universidade Federal Fluminense (UFF), Rio das Ostras, RJ, Brazil.
Institute of Science and Technology, UFF, Rio das Ostras, RJ, Brazil.
Rev Bras Med Trab. 2025 Aug 25;23(1):e20241338. doi: 10.47626/1679-4435-2024-1338. eCollection 2025 Jan-Mar.
Establishing a causal relationship between disease and work is a complex cognitive decision-making process whose effectiveness depends on the technical expertise of the physician in charge. A structured method to assist in this process could have significant practical applicability.
To develop an analytical method to support better decision-making regarding the establishment of a causal relationship between health status and occupational activities.
The Design Science Research methodology was employed. In the knowledge exploration phase, the existence of analytical methods for determining a causal relationship between illness and work was investigated, along with multicriteria decision analysis techniques that could support the development of a new method. The ELECTRE TRI classification technique was selected as the basis for the analytical framework. To assess operability of the classification method, 27 simulated problem situations were analyzed. The results were found to be easy to analyze, classified as Certain, Extremely Likely, Very Likely, Likely, Plausible, Slightly Plausible, Slightly Likely, Unlikely, and Impossible. To assess efficiency, 27 case series were distributed across three questionnaires.
The questionnaires were completed by 56 physicians, generating a total of 504 classifications.
By comparing the classifications assigned by the proposed method with those assigned by physicians, it was concluded that the developed method is not only innovative and practical but also an effective tool for assisting in decision-making regarding the establishment of causal relationships in occupational diseases.
确定疾病与工作之间的因果关系是一个复杂的认知决策过程,其有效性取决于主管医生的专业技术水平。一种有助于这一过程的结构化方法可能具有重大的实际应用价值。
开发一种分析方法,以支持在确定健康状况与职业活动之间的因果关系方面做出更好的决策。
采用设计科学研究方法。在知识探索阶段,研究了用于确定疾病与工作之间因果关系的分析方法的存在情况,以及可支持新方法开发的多标准决策分析技术。选择ELECTRE TRI分类技术作为分析框架的基础。为评估分类方法的可操作性,分析了27个模拟问题情境。结果发现易于分析,分为确定、极有可能、很有可能、有可能、似是而非、略有似是而非、略有可能、不太可能和不可能。为评估效率,将27个病例系列分布在三份问卷中。
56名医生完成了问卷,共产生504个分类。
通过将所提出的方法分配的分类与医生分配的分类进行比较,得出结论:所开发的方法不仅具有创新性和实用性,而且是协助在职业病因果关系确定方面进行决策的有效工具。