Sailer Anna M, van Zwam Wim H, Wildberger Joachim E, Grutters Janneke P C
Department of Radiology, Maastricht University Medical Center, P.O. Box 5800, P.Debyelaan 25, Maastricht, 6202 AZ, The Netherlands.
Department of Radiology, Stanford University Hospitals and Clinics, Stanford, CA, USA.
Eur Radiol. 2015 Dec;25(12):3629-37. doi: 10.1007/s00330-015-3770-8. Epub 2015 May 24.
Diagnostic imaging (DI) is the fastest growing sector in medical expenditures and takes a central role in medical decision-making. The increasing number of various and new imaging technologies induces a growing demand for cost-effectiveness analysis (CEA) in imaging technology assessment. In this article we provide a comprehensive framework of direct and indirect effects that should be considered for CEA in DI, suitable for all imaging modalities. We describe and explain the methodology of decision analytic modelling in six steps aiming to transfer theory of CEA to clinical research by demonstrating key principles of CEA in a practical approach. We thereby provide radiologists with an introduction to the tools necessary to perform and interpret CEA as part of their research and clinical practice.
• DI influences medical decision making, affecting both costs and health outcome. • This article provides a comprehensive framework for CEA in DI. • A six-step methodology for conducting and interpreting cost-effectiveness modelling is proposed.
诊断成像（DI）是医疗支出中增长最快的领域，在医疗决策中发挥着核心作用。各种新型成像技术的不断增加，使得在成像技术评估中对成本效益分析（CEA）的需求日益增长。在本文中，我们提供了一个全面的直接和间接影响框架，适用于所有成像模式，在DI的CEA中应予以考虑。我们分六个步骤描述并解释了决策分析建模的方法，旨在通过以实际方法展示CEA的关键原则，将CEA理论应用于临床研究。从而为放射科医生提供执行和解释CEA所需工具的介绍，作为其研究和临床实践的一部分。
• DI影响医疗决策，对成本和健康结果均有影响。• 本文为DI中的CEA提供了一个全面的框架。• 提出了进行和解释成本效益建模的六步法。
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