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评估基因易感性测试模拟研究中的假设情景方法:一项定量综述。

Assessing hypothetical scenario methodology in genetic susceptibility testing analog studies: a quantitative review.

作者信息

Persky Susan, Kaphingst Kimberly A, Condit Celeste M, McBride Colleen M

机构信息

National Human Genome Research Institute, Bethesda, Maryland 20892, USA.

出版信息

Genet Med. 2007 Nov;9(11):727-38. doi: 10.1097/gim.0b013e318159a344.

Abstract

Hypothetical scenario methodology is commonly employed in the study of genetic susceptibility testing uptake estimation. The methodology, however, has not been rigorously assessed and sizeable gaps exist between estimated and actual uptake for tests that have recently become available. This quantitative review explores the effect of several theoretically based factors on genetic test uptake accuracy among a sample of 38 articles. These factors include verbal immediacy and temporal proximity of test scenarios, method of decision assessment, content of testing detail provided, processing demand required, and study features related to administration and sample. A number of assessed factors influenced uptake accuracy. Among these, temporal proximity of the genetic susceptibility test appeared to be the most consistent. There was also some evidence for effects of verbal immediacy and decision-assessment method on interest in testing. We recommend strategies for increasing accuracy using hypothetical scenario methodology to examine genetic susceptibility test uptake prediction.

摘要

假设情景方法通常用于遗传易感性检测接受度估计的研究中。然而,该方法尚未经过严格评估,对于最近可用的检测,估计接受度与实际接受度之间存在相当大的差距。这一定量综述探讨了38篇文章样本中几个基于理论的因素对基因检测接受度准确性的影响。这些因素包括检测情景的语言即时性和时间接近性、决策评估方法、提供的检测细节内容、所需的处理需求以及与管理和样本相关的研究特征。许多评估因素影响了接受度准确性。其中,遗传易感性检测的时间接近性似乎最为一致。也有一些证据表明语言即时性和决策评估方法对检测兴趣有影响。我们推荐使用假设情景方法提高准确性的策略,以检验遗传易感性检测接受度预测。

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