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硫唑嘌呤的硫嘌呤甲基转移酶检测:是“医疗资源的成本效益利用”吗?

TPMT testing in azathioprine: a 'cost-effective use of healthcare resources'?

作者信息

Payne Katherine, Newman William G, Gurwitz David, Ibarreta Dolores, Phillips Kathryn A

机构信息

Health Economics, Health Methodology Research Group, School of Community Based Medicine, The University of Manchester, 1st floor, University Place, Oxford Road, Manchester, M13 9PL, UK.

University of Manchester, UK.

出版信息

Per Med. 2009 Jan;6(1):103-113. doi: 10.2217/17410541.6.1.103.

Abstract

This study aimed to critically appraise the current level of economic evidence available for thiopurine S-methyltransferase (TPMT) testing of thiopurine drugs, such as azathioprine. Six economic evaluations of testing were identified, which all recommended that TPMT testing is a cost-effective use of healthcare resources. Critical appraisal, using published guidelines, showed potential limitations in model structures, approaches to data analysis and input parameters, which were mainly based on expert opinion. Where data did exist these were from retrospective studies. To conduct economic evaluations with more robust findings, decision analysts need good quality data for the following key parameters: current prevalence of profound neutropenia among patients prescribed thiopurine drugs; mean length of related hospitalization and clinical outcome; impact of introducing the test on clinical pathways in terms of resource use; and clinical effectiveness data in terms of number of cases of neutropenia averted and subsequent impact on mortality and health-related quality of life. An iterative approach may be used to stimulate the production of a sufficient evidence base for innovative technologies, such as pharmacogenetic testing. Such an iterative approach involves starting with simple models using available existing clinical and resource use data, as in the case of TPMT testing. The use of formal value of information methods may guide the decision whether prospective studies are required to address uncertainties in the key parameters driving the model results. The results from well-designed prospective studies can then be used to populate more complex economic models.

摘要

本研究旨在严格评估目前可用于硫唑嘌呤等硫嘌呤类药物的硫嘌呤甲基转移酶(TPMT)检测的经济学证据水平。共识别出六项关于检测的经济学评估,所有评估均建议进行TPMT检测是一种具有成本效益的医疗资源利用方式。使用已发表的指南进行的严格评估显示,模型结构、数据分析方法和输入参数存在潜在局限性,这些主要基于专家意见。有数据的地方均来自回顾性研究。为了进行更具说服力的经济学评估,决策分析人员需要以下关键参数的高质量数据:接受硫嘌呤类药物治疗的患者中严重中性粒细胞减少症的当前患病率;相关住院的平均时长和临床结局;引入该检测对资源利用方面临床路径的影响;以及在避免中性粒细胞减少症病例数方面的临床有效性数据及其对死亡率和健康相关生活质量的后续影响。可以采用迭代方法来促进为创新技术(如药物遗传学检测)生成足够的证据基础。这种迭代方法首先要从使用现有临床和资源利用数据的简单模型入手,就像TPMT检测的情况一样。使用正式的信息价值方法可能有助于决定是否需要进行前瞻性研究以解决驱动模型结果的关键参数中的不确定性。精心设计的前瞻性研究结果随后可用于构建更复杂的经济学模型。

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