Racial Differences in Attitudes toward Personallized Medicine

Racial Differences in Attitudes toward Personallized Medicine
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DOI:
10.1159/000354785
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发表时间:
2014-01-01
影响因子:
1.7
通讯作者:
Wilson, D.
Wilson, D.
中科院分区:
医学4区
文献类型:
--
作者:
Diaz, V. A.;Mainous, A. G., III;Wilson, D.

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背景/目标:患者对个性化医疗的担忧可能会限制其使用。这项研究评估了对个性化医疗态度的种族差异,评估了可能影响这些态度的变量。方法:对来自学术初级保健实践的 190 名成年人(> = 18 岁)进行了方便抽样调查,了解其对个性化医疗的认识和接受程度,以及对其使用的担忧和益处。进行了逻辑回归预测意识、接受度和担忧,并控制了种族、性别、婚姻状况、教育、儿童、互联网使用和自我报告的歧视。结果:样本中 35% 为非西班牙裔白人 (NHW),34.7% 为男性。与非西班牙裔黑人 (NHB) 参与者相比,更多 NHW 参与者表示接受个性化医疗(94.4% vs. 81.9%,p = 0.0190)。更多的 NHB 担心未经同意而使用基因(57.3% vs. 20.6%,p < 0.0001)、未经同意共享遗传信息(65.0% vs. 35.6%,p < 0.0001)、基于基因的歧视(62.4% vs. 34.3%,p = 0.0002)以及由于成本而无法获取(75.0% vs. 35.6%,p = 0.0002)。 48.0%,p = 0.0002)。在逻辑回归中,NHB(OR = 7.46,95% Cl = 3.04-18.32)和那些自我报告的歧视者(OR = 2.87,95% Cl =1.22-6.78)更担心基因的滥用和与个性化医疗相关的成本。结论:对个性化医疗的态度存在种族差异,并且可能受到自我报告的歧视的影响。进一步研究了解影响个性化医疗接受度的因素可能有助于鼓励其使用。 (c) 2013 S. Karger AG,巴塞尔
Background/Aims: Patient concerns regarding personalized medicine may limit its use. This study assesses racial differences in attitudes toward personalized medicine, evaluating variables that may influence these attitudes. Methods: A convenience sample of 190 adults (>= 18 years) from an academic primary care practice was surveyed regarding awareness and acceptance of personalized medicine, plus concerns and benefits regarding its use. Logistic regressions predicting awareness, acceptance and concerns were performed, controlling for race, gender, marital status, education, children, internet use, and self-reported discrimination. Results:The sample was 35% non-Hispanic white (NHW) and 34.7% male. More NHW participants expressed acceptance of personalized medicine than non-Hispanic black (NHB) participants (94.4 vs. 81.9%, p = 0.0190). More NHBs were concerned about the use of genes without consent (57.3 vs. 20.6%, p < 0.0001), sharing genetic information without consent (65.0 vs. 35.6%, p < 0.0001), discrimination based on genes (62.4 vs. 34.3%, p = 0.0002), and lack of access due to cost (75.0 vs. 48.0%, p = 0.0002). In logistic regressions, NHBs (OR = 7.46, 95% Cl = 3.04-18.32) and those self-reporting discrimination (OR = 2.87,95% Cl =1.22-6.78) had more concerns about the misuse of genes and costs associated with personalized medicine. Conclusion: Racial differences exist in attitudes toward personalized medicine and may be influenced by self-reported discrimination. Further study to understand factors influencing the acceptance of personalized medicine could help encourage its use. (c) 2013 S. Karger AG, Basel