Patients' understanding of and responses to multiplex genetic susceptibility test results.
Patients' understanding of and responses to multiplex genetic susceptibility test results.
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DOI：
10.1038/gim.2012.22
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发表时间：
2012-07
期刊：
影响因子：
--
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中科院分区：
文献类型：
--
作者：
需要检查患者对直接面向消费者的遗传易感性测试的反应，以告知临床实践。本研究检查了患者对直接通过邮件提供的遗传易感性测试结果的回忆、解释和反应。这项观察性研究有3项前瞻性评估（测试前;收到结果后10天; 3个月后）。参与者是199名年龄在25-40岁之间的患者，他们接受了8种常见健康状况的免费遗传易感性测试。超过80%的人正确地回忆了他们在8种健康状况下的结果。患者不太可能将遗传结果解释为健康结局的确定性（平均值=6.0，SD=0.8，1-7量表，1表示强确定性）。在多变量分析中，具有最少确定性解释的患者是白色（p=.0098），受教育程度更高（p=.0093），最少被结果混淆（p=.001）。只有1%的人谈论他们与供应商的结果。研究结果表明，大多数患者会正确地回忆他们的结果，不会将遗传学解释为疾病的唯一原因。那些对结果感到困惑的子集可以从与医疗保健提供者的协商中受益，这可以强调健康习惯目前是风险的最佳预测因素。提供者可以利用患者对基因检测的兴趣来鼓励行为改变，以降低疾病风险。
Examination of patients’ responses to direct-to-consumer genetic susceptibility tests is needed to inform clinical practice. This study examined patients’ recall and interpretation of, and responses to, genetic susceptibility test results provided directly by mail. This observational study had 3 prospective assessments (before testing; 10 days after receiving results; 3 months later). Participants were 199 patients aged 25–40 who received free genetic susceptibility testing for 8 common health conditions. Over 80% correctly recalled their results for the 8 health conditions. Patients were unlikely to interpret genetic results as deterministic of health outcomes (mean=6.0, SD=0.8 on 1–7 scale, 1 indicating strongly deterministic). In multivariate analyses, patients with the least deterministic interpretations were White (p=.0098), more educated (p=.0093), and least confused by results (p=.001). Only 1% talked about their results with a provider. Findings suggest that most patients will correctly recall their results and will not interpret genetics as the sole cause of diseases. The subset of those confused by results could benefit from consultation with a health care provider, which could emphasize that health habits currently are the best predictors of risk. Providers could leverage patients’ interest in genetic tests to encourage behavior changes to reduce disease risk.
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影响因子：
7.4
作者：
Kaphingst KA;McBride CM;Wade C;Alford SH;Brody LC;Baxevanis AD
通讯作者：
Baxevanis AD
影响因子：
5.5
作者：
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影响因子：
120.7
作者：
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通讯作者：
Wilfond, BS
影响因子：
158.5
作者：
Green, Robert C.;Roberts, J. Scott;Farrer, Lindsay A.
通讯作者：
Farrer, Lindsay A.
影响因子：
5.7
作者：
Chew, Lisa D.;Griffin, Joan M.;VanRyn, Michelle
通讯作者：
VanRyn, Michelle