Health Economics and Outcomes Research, Medical Affairs, Abbott Laboratories, Wiesbaden, Germany.
Clinical Chemistry Laboratory, Altnagelvin Hospital, Londonderry, UK.
Ann Clin Biochem. 2022 Jan;59(1):23-36. doi: 10.1177/00045632211013852. Epub 2021 May 14.
Health-care providers and funders are focused on identifying value in all their services and that includes laboratories. This means that in order to gain a share of scarce resources, laboratory professionals must also understand and assess the value of tests and that includes their economic impact. This can be assessed using health economic modelling tools which, when used in conjunction with a detailed value proposition for the test, can translate laboratory information into value. While a variety of health economic assessment tools are available, this review will focus on the use of decision analytic models which essentially compare the outcomes from pathways with and without the new test, the value of which is being assessed. A step-by-step framework is provided to guide laboratory professionals through the essential steps of conducting the evaluation. Initial steps include mapping the clinical pathway, understanding the goal of the evaluation, identifying the key stakeholders and their needs and determining a suitable analytical model. Following collection of the actual data, the validity of the model must be checked, and the robustness of the outcomes tested through sensitivity analysis. The last step is to translate the findings into measures of value which can then inform appropriate decisions by the stakeholders. This review of basic health economic modelling should enable laboratory professionals to have an understanding of how modelling can be applied to tests in their own environment and help deliver their potential value.
医疗保健提供者和资助者专注于确定其所有服务的价值,其中包括实验室。这意味着,为了获得稀缺资源的份额,实验室专业人员还必须了解和评估测试的价值,包括其经济影响。可以使用健康经济建模工具来评估这一点,这些工具在与测试的详细价值主张结合使用时,可以将实验室信息转化为价值。虽然有各种各样的健康经济评估工具可用,但本综述将重点介绍决策分析模型的使用,这些模型基本上比较了有和没有新测试的路径的结果,正在评估其价值。提供了一个逐步框架,指导实验室专业人员完成评估的基本步骤。初始步骤包括映射临床路径、了解评估的目标、确定关键利益相关者及其需求以及确定合适的分析模型。在收集实际数据后,必须检查模型的有效性,并通过敏感性分析测试结果的稳健性。最后一步是将研究结果转化为衡量价值的指标,然后为利益相关者提供适当的决策依据。对基本健康经济建模的回顾应使实验室专业人员能够了解如何将建模应用于其自身环境中的测试,并帮助实现其潜在价值。