Are patients willing to incur out-of-pocket costs for pharmacogenomic testing?
Are patients willing to incur out-of-pocket costs for pharmacogenomic testing?
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DOI:
10.1038/tpj.2016.72
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发表时间:
2017-01
期刊:
影响因子:
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通讯作者:
Roger VL
中科院分区:
文献类型:
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作者:
Bielinski SJ;St Sauver JL;Olson JE;Wieland ML;Vitek CR;Bell EJ;Mc Gree ME;Jacobson DJ;McCormick JB;Takahashi PY;Black JL;Caraballo PJ;Sharp RR;Beebe TJ;Weinshilboum RM;Wang L;Roger VL
Genetic modulation of drug response can cause serious, potentially life-threatening adverse drug reactions, can increase susceptibility to drug–drug interactions and can diminish or enhance therapeutic efficacy. As a result, the clinical implementation of pharmacogenomics at the bedside could make it possible to avoid adverse drug reactions and maximize drug efficacy. Ideally, selection of medications based on the genetic profile of individual patients will produce optimal effects for specific indications. Over the past decade, a large number of pharmacogenomic variants with demonstrated clinical utility have been identified and incorporated into drug labels by the US Food and Drug Administration. 1 Recognizing that pharmacogenomics has the potential to immediately impact the care of patients in a clinically meaningful manner, President Obama highlighted the importance of ‘delivering the right treatments, at the right time, every time to the right person’in his Precision Medicine Initiative Remarks. 2 However, the incorporation of pharmacogenomics into clinical practice has proved slow and challenging. Some of those challenges include (1) delay in the initiation of therapy due to the use of traditional reactive, as opposed to preemptive, ordering of pharmacogenomic testing,(2) lack of support for commercial electronic health record systems to integrate genomic data and enable automated clinical decision support at the point of care,(3) limited evidence of the benefit for preemptive testing for efficacy, as opposed to testing to avoid rare toxicities,(4) complexity of interpretation of the genotype data and (5) limited coverage and reimbursement of pharmacogenomic testing by health insurance companies. 3 Given these challenges, early implementation of large-scale preemptive pharmacogenomics has been restricted to large medical centers with substantial institutional support to cover the costs. 4–6 Expansion of these efforts to patient populations willing to pay out of pocket to defray costs could facilitate wider adoption. However, the types of patients willing to pay out of pocket and the amount these patients would be willing to pay for pharmacogenomic testing are unknown. Direct-to-consumer genetic testing companies provide some clues as to what patients might be willing to pay for pharmacogenomic testing. 23andMe is the most widely used direct-to-consumer genetic testing company that provides healthrelated information as well as ancestry information to over1 000 000 customers. 7 Cost of testing was initially $999 in 2007, was lowered to $99 in 2012 and was raised to $199 in 2015 with the introduction of a new Food and Drug Administration compliant report (www. 23andMe. com). Customers have access to their raw genetic data, but the health-related portion of the interpreted report includes only a small set of results for rare disease carrier status. Further limiting the utility of these results is the lack of integration with individual patient’s electronic health record for use in current and future medical care. Clearly, large numbers of consumers are willing to pay for direct-to-consumer genetic testing; however, it remains to be determined what types of patients would be willing to incur out-of-pocket costs to have their health-care provider order genetic testing, and what amount would these patients be willing to pay out of pocket. It may be that in the actual health-care context, patients have the expectation that the costs of genetic testing should be covered by their health insurance plan. To address these questions, we surveyed patients participating in the Mayo Clinic Right Drug, Right Dose, Right Time Protocol (RIGHT Protocol) study. 4 The RIGHT Protocol is …