Measuring the Potential Health Impact of Personalized Medicine: Evidence from Ms Treatments

NursingRN eJournal Pub Date : 2017-10-01 DOI:10.3386/W23900

Kristopher J. Hult

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引用次数: 5

Abstract

Individuals respond to pharmaceutical treatments differently due to the heterogeneity of patient populations. This heterogeneity can make it difficult to determine how efficacious or burdensome a treatment is for an individual patient. Personalized medicine involves using patient characteristics, therapeutics, or diagnostic testing to understand how individual patients respond to a given treatment. Personalized medicine increases the health impact of existing treatments by improving the matching process between patients and treatments and by improving a patient's understanding of the risk of serious side effects. In this paper, I compare the health impact of new treatment innovations with the potential health impact of personalized medicine. I find that the impact of personalized medicine depends on the number of treatments, the correlation between treatment effects, and the amount of noise in a patient's individual treatment effect signal. For multiple sclerosis treatments, I find that personalized medicine has the potential to increase the health impact of existing treatments by roughly 50 percent by informing patients of their individual treatment effect and risk of serious side effects.

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测量个性化医疗的潜在健康影响:来自Ms治疗的证据

由于患者群体的异质性，个体对药物治疗的反应不同。这种异质性使得很难确定一种治疗对单个患者的有效性或负担。个性化医疗包括使用患者特征、治疗方法或诊断测试来了解个体患者对特定治疗的反应。个性化医疗通过改善患者与治疗之间的匹配过程以及提高患者对严重副作用风险的理解，增加了现有治疗对健康的影响。在本文中，我比较了新的治疗创新对健康的影响与个性化医疗的潜在健康影响。我发现个性化医疗的影响取决于治疗的次数，治疗效果之间的相关性，以及患者个体治疗效果信号中的噪声量。对于多发性硬化症的治疗，我发现个性化医疗有可能通过告知患者他们的个人治疗效果和严重副作用的风险，将现有治疗对健康的影响提高大约50%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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NursingRN eJournal

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