4.4 Article

Understanding cost-utility analysis studies in the trauma and orthopaedic surgery literature

Journal

EFORT OPEN REVIEWS
Volume 6, Issue 5, Pages 305-315

Publisher

BRITISH EDITORIAL SOC BONE & JOINT SURGERY
DOI: 10.1302/2058-5241.6.200115

Keywords

cost-utility analysis; decision tree; incremental cost-utility ratio; quality-adjusted life years; quality of health economic studies; sensitivity analysis

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With the increasing importance of cost-utility analysis studies in reducing healthcare spending, particularly in trauma and orthopaedics, it is crucial for surgeons in this field to understand economic evaluations to make informed cost-effective decisions. Different methods are employed to assess health outcomes and calculate costs, and various model designs can be used for conducting a CUA, with a focus on real-life clinical studies and computer-simulated modeling. Sensitivity analysis is used to quantify uncertainty, and instruments are employed to assess the quality of CUAs, while recognizing important limitations that need to be considered.
Cost-utility analysis (CUA) studies are becoming increasingly important due to the need to reduce healthcare spending, especially in the field of trauma and orthopaedics. There is an increasing need for trauma and orthopaedic surgeons to understand these economic evaluations to ensure informed cost-effective decisions can be made to benefit the patient and funding body. This review discusses the fundamental principles required to understand CUA studies in the literature, including a discussion of the different methods employed to assess the health outcomes associated with different management options and the various approaches used to calculate the costs involved. Different types of model design may be used to conduct a CUA which can be broadly categorized into real-life clinical studies and computer-simulated modelling. We discuss the main types of study designs used within each category. We also cover the different types of sensitivity analysis used to quantify uncertainty in these studies and the commonly employed instruments used to assess the quality of CUAs. Finally, we discuss some of the important limitations of CUAs that need to be considered. This review outlines the main concepts required to understand the CUA literature and provides a basic framework for their future conduct.

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