Centre for Health Economics, University of York, Heslington, York, YO10 5DD, UK.
Public Health Modeling Unit, Yale School of Public Health, New Haven, CT, USA.
Pharmacoeconomics. 2024 Apr;42(4):363-371. doi: 10.1007/s40273-023-01341-z. Epub 2023 Dec 29.
Decision makers frequently face decisions about optimal resource allocation. A model-based economic evaluation can be used to guide decision makers in their choices by systematically evaluating the magnitude of expected health effects and costs of decision options and by making trade-offs explicit. We provide a guide to an iterative approach to the medical decision-making process by following a coherent framework, and outline the overarching iterative steps of model-based decision making. We systematized the framework by performing three steps. First, we compiled the existing guidelines provided by the ISPOR-SMDM Modeling Good Research Practices Task Force, and the ISPOR Value of Information Task Force. Second, we identified other previous work related to frameworks and guidelines for model-based decision analyses through a literature search in PubMed. Third, we assessed the role of the evidence and iterative process in decision making and formalized key steps in a model-based decision-making framework. We provide guidance on an iterative approach to medical decision making by applying the compiled iterative model-based decision-making framework. The framework formally combines the decision problem conceptualization (Part I), the model conceptualization and development (Part II), and the process of model-based decision analysis (Part III). Following the overarching steps of the framework ensures compliance to the principles of evidence-based medicine and regular updates of the evidence, given that value of information analysis represents an essential component of model-based decision analysis in the framework. Following the provided guide and the steps outlined in the framework can help inform various health care decisions, and therefore it has the potential to improve decision making.
决策者经常面临关于最优资源分配的决策。基于模型的经济评估可用于通过系统地评估决策选项的预期健康效果和成本的大小,并明确权衡取舍,从而为决策者的选择提供指导。我们通过遵循一致的框架为医疗决策过程提供了一种迭代方法指南,并概述了基于模型的决策制定的总体迭代步骤。我们通过执行三个步骤来使框架系统化。首先,我们编译了 ISPOR-SMDM 建模良好实践工作组和 ISPOR 信息价值工作组提供的现有指南。其次,我们通过在 PubMed 中进行文献检索,确定了与基于模型的决策分析框架相关的其他先前工作。第三,我们评估了证据和迭代过程在决策中的作用,并在基于模型的决策框架中正式确定了关键步骤。我们通过应用编译的迭代式基于模型的决策制定框架,为医疗决策提供了迭代方法的指导。该框架正式结合了决策问题概念化(第一部分)、模型概念化和开发(第二部分)以及基于模型的决策分析过程(第三部分)。遵循框架的总体步骤可确保符合循证医学的原则和证据的定期更新,因为信息价值分析是框架中基于模型的决策分析的重要组成部分。遵循提供的指南和框架中概述的步骤可以帮助为各种医疗保健决策提供信息,因此有潜力改善决策。