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FMECA FRAMEWORK FOR RANKING DOWN SYNDROME TESTS

机译：FMECA框架下的综合症测试

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Good quality healthcare includes involvement of patients in decisions about their care. In the case of genetic consultation women make decisions that also concern the next generation. Over the last decades, tests have been developed for detection of fetal Down Syndrome (DS). These tests can be divided into two groups: diagnostic and screening. The result of a diagnostic test is certain; however, it involves the risk of hurting the fetus. The results of a screening test are less certain but there is no risk to the fetus. Pregnant women have their own preferences concerning possible losses based their own beliefs. We developed an FMECA model to support the pregnant woman's decision making process. The model takes into account the prior information about DS statistics, the risk of hurting the fetus, false diagnostic rates, and possible losses. AHP is used for scaling the subjective scores of the losses. A case study demonstrates the model.
机译：高质量的医疗保健包括让患者参与有关其护理的决策。在基因咨询的情况下，妇女做出的决定也与下一代有关。在过去的几十年中，已经开发出用于检测胎儿唐氏综合症（DS）的测试。这些测试可以分为两组：诊断和筛选。诊断测试的结果是确定的；但是，这有伤害胎儿的风险。筛查测试的结果不确定，但对胎儿没有风险。孕妇对基于自己的信念可能造成的损失有自己的偏好。我们开发了FMECA模型来支持孕妇的决策过程。该模型考虑了有关DS统计信息的先验信息，伤害胎儿的风险，错误的诊断率以及可能造成的损失。 AHP用于缩放损失的主观评分。案例研究证明了该模型。

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