Haycox Alan, Pirmohamed Munir, McLeod Claire, Houten Rachel, Richards Sarah
ULMS, University of Liverpool, Room GE14, Chatham Street, Liverpool, L69 7ZH, UK,
Pharmacoeconomics. 2014 Nov;32(11):1055-61. doi: 10.1007/s40273-014-0190-6.
Personalised medicine and pharmacogenetic-test-guided treatment strategies will be of increasing importance in the future, both in terms of healthcare provision and evaluation. It is well recognised that significant variability exists in the response of patients to drugs resulting from genetic or biological variations; however, we are only now gradually becoming aware of the complexities involved. Enormous variability occurs in the risk-benefit ratio that will be experienced by each individual patient as a consequence of their overall genetic make-up. Although not a panacea, enhanced scientific knowledge of the genetic basis for such variability offers the potential for a more 'tailored' approach to prescribing in the future, making it more closely attuned to the needs of the individual patient. Such 'personalised' medicine has the potential to revolutionise care provision in a manner that provides a range of challenges to current structures and processes of 'conventional' healthcare delivery. The aim of this paper is to outline such challenges and analyse potential ways in which they may be addressed in the future. It provides non-expert readers with a non-technical case study of the complexities inherent in the evaluation of a pharmacogenetic-test-guided treatment strategy from a health economic perspective. Wherever possible, technical issues have been minimised; however, references are provided for readers who wish to enhance their knowledge of the pharmacological basis of the case study of cytochrome P450 test-guided treatment. The case study aims simply to illustrate the approach and difficulties encountered in the health economic evaluation of complex pharmacogenetic technologies. Such technologies present a range of new and complex issues which have crucial implications for health economists attempting to obtain an accurate assessment of the 'value' of the technology in clinical practice in an array of patient subgroups. Personalised medicine is the future and this paper highlights how pharmaceutical manufacturers, clinicians, regulators and other stakeholders must all play their part in the inevitable and accelerating move into this complex and uncertain future.
在医疗保健的提供和评估方面,个性化医疗和药物遗传学检测指导的治疗策略在未来将变得越来越重要。人们已经充分认识到,由于基因或生物学变异,患者对药物的反应存在显著差异;然而,我们直到现在才逐渐意识到其中涉及的复杂性。由于个体的整体基因构成,每个患者所经历的风险效益比存在巨大差异。虽然不是万灵药,但对这种变异性的遗传基础有更深入的科学认识,为未来更“量身定制”的处方方法提供了潜力,使其更能贴合个体患者的需求。这种“个性化”医疗有可能彻底改变医疗保健的提供方式,给当前“传统”医疗保健服务的结构和流程带来一系列挑战。本文的目的是概述这些挑战,并分析未来应对这些挑战的潜在方法。它从卫生经济学的角度为非专业读者提供了一个关于评估药物遗传学检测指导的治疗策略所固有的复杂性的非技术性案例研究。只要有可能,技术问题都已降至最低;然而,为希望加深对细胞色素P450检测指导治疗案例研究的药理学基础了解的读者提供了参考文献。该案例研究的目的仅仅是说明在复杂的药物遗传学技术的卫生经济评估中所采用的方法和遇到的困难。这些技术提出了一系列新的复杂问题,对于试图在一系列患者亚组中准确评估该技术在临床实践中的“价值”的卫生经济学家来说具有至关重要的意义。个性化医疗是未来的发展方向,本文强调了制药商、临床医生、监管机构和其他利益相关者在不可避免且加速迈向这个复杂且不确定的未来过程中必须如何发挥各自的作用。