INTRODUCTION Pharmacogenetic (PGx) testing can be useful for providing information about a patient's drug response by increasing drug efficacy and decreasing the incidence of adverse drug events. While PGx tests were previously only offered to patients under healthcare provider supervision, they are now available as direct to consumer (DTC) tests. This study aimed to assess how accurately individuals from the general population were able to interpret a sample PGx test report and if accuracy differed based on individuals' numeracy or prior genetic counseling (GC). METHODS We surveyed 293 individuals from the general population, ascertained through ResearchMatch. The survey included questions about PGx test interpretation, numeracy, and genetic literacy. RESULTS In our cohort, numeracy level impacted PGx result interpretation, with those of high numeracy performing statistically significantly better on both the table format and graphical format (p value = 0.002 and p value <0.001, respectively) and genetic knowledge questions (p value <0.001) than those with low/average numeracy. In addition, previous GC did not impact test interpretation or genetic knowledge, but the number of individuals with prior GC was small (n = 26). DISCUSSION/CONCLUSION We found that numeracy had a significant impact on correct interpretation of PGx test reports. Because many individuals in the USA have low numeracy levels, it is extremely important that patients do not make their own medication management decision based on the test results and that they consult with their physicians about their PGx testing. The importance of consultation and discussion with providers about results should be emphasized on the test report.

中文翻译：

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以前的遗传咨询和客观计算对药物遗传学检测报告准确解读的影响

引言 药物遗传学 (PGx) 测试可用于通过提高药物疗效和降低药物不良事件的发生率来提供有关患者药物反应的信息。虽然 PGx 测试以前只在医疗保健提供者的监督下提供给患者，但现在它们可以作为直接面向消费者 (DTC) 的测试提供。本研究旨在评估来自普通人群的个体能够如何准确地解释样本 PGx 测试报告，以及准确性是否因个人的算术或先前的遗传咨询 (GC) 而不同。方法 我们调查了来自普通人群的 293 个人，通过 ResearchMatch 确定。该调查包括有关 PGx 测试解释、计算能力和遗传素养的问题。结果 在我们的队列中，计算水平影响 PGx 结果解释，在表格格式和图形格式（分别为 p 值 = 0.002 和 p 值 <0.001）和遗传知识问题（p 值 <0.001）上，计算能力高的人比计算能力低/平均的人在统计上表现得更好。此外，以前的 GC 不影响测试解释或遗传知识，但以前 GC 的人数很少（n = 26）。讨论/结论 我们发现计算能力对正确解释 PGx 测试报告有重大影响。由于美国的许多人的计算水平较低，因此患者不要根据测试结果做出自己的药物管理决定，并就他们的 PGx 测试咨询医生，这一点非常重要。