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肿瘤学中的多标准决策分析。

Multicriteria decision analysis in oncology.

作者信息

Adunlin Georges, Diaby Vakaramoko, Montero Alberto J, Xiao Hong

机构信息

Division of Economic, Social and Administrative Pharmacy, College of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.

Cleveland Clinic, Taussig Cancer Institute, Cleveland, OH, USA.

出版信息

Health Expect. 2015 Dec;18(6):1812-26. doi: 10.1111/hex.12178. Epub 2014 Mar 17.

Abstract

BACKGROUND

There has been a growing interest in the development and application of alternative decision-making frameworks within health care, including multicriteria decision analysis (MCDA). Even though the literature includes several reviews on MCDA methods, applications of MCDA in oncology are lacking.

AIM

The aim of this paper is to discuss a rationale for the use of MCDA in oncology. In this context, the following research question emerged: How can MCDA be used to develop a clinical decision support tool in oncology?

METHODS

In this paper, a brief background on decision making is presented, followed by an overview of MCDA methods and process. The paper discusses some applications of MCDA, proposes research opportunities in the context of oncology and presents an illustrative example of how MCDA can be applied to oncology.

FINDINGS

Decisions in oncology involve trade-offs between possible benefits and harms. MCDA can help analyse trade-off preferences. A wide range of MCDA methods exist. Each method has its strengths and weaknesses. Choosing the appropriate method varies depending on the source and nature of information used to inform decision making. The literature review identified eight studies. The analytical hierarchy process (AHP) was the most often used method in the identified studies.

CONCLUSION

Overall, MCDA appears to be a promising tool that can be used to assist clinical decision making in oncology. Nonetheless, field testing is desirable before MCDA becomes an established decision-making tool in this field.

摘要

背景

医疗保健领域对包括多标准决策分析(MCDA)在内的替代决策框架的开发和应用的兴趣日益浓厚。尽管文献中有几篇关于MCDA方法的综述,但MCDA在肿瘤学中的应用却很缺乏。

目的

本文旨在探讨在肿瘤学中使用MCDA的基本原理。在此背景下,出现了以下研究问题:如何使用MCDA来开发肿瘤学临床决策支持工具?

方法

本文介绍了决策的简要背景,随后概述了MCDA方法和过程。本文讨论了MCDA的一些应用,提出了肿瘤学背景下的研究机会,并给出了一个MCDA如何应用于肿瘤学的示例。

研究结果

肿瘤学中的决策涉及可能的益处和危害之间的权衡。MCDA有助于分析权衡偏好。存在多种MCDA方法。每种方法都有其优缺点。选择合适的方法取决于用于决策的信息的来源和性质。文献综述确定了八项研究。层次分析法(AHP)是已确定研究中最常用的方法。

结论

总体而言,MCDA似乎是一种很有前景的工具,可用于协助肿瘤学中的临床决策。尽管如此,在MCDA成为该领域既定的决策工具之前,进行实地测试是很有必要的。

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