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支持临床决策的患者决策辅助工具:评估决策本身还是决策结果。

Patient decision aids to support clinical decision making: evaluating the decision or the outcomes of the decision.

作者信息

McCaffery Kirsten, Irwig Les, Bossuyt Patrick

机构信息

School of Public Health, University of Sydney, Sydney, Australia.

出版信息

Med Decis Making. 2007 Sep-Oct;27(5):619-25. doi: 10.1177/0272989X07306787. Epub 2007 Sep 14.

Abstract

Decision aids (DAs) are tools to support patients make informed health decisions with their practitioner. They aim to improve patient knowledge of options, incorporate patient preferences and values, and increase patient involvement in health decision making. Increasingly, the debate about DAs concerns how they should be implemented in practice, with the view that DAs are superior to usual clinical care in facilitating health decisions. The authors challenge this view and suggest that DA research has focused on measures of decision process, leaving the effects on the outcome of the decision relatively unknown. It is still unclear in which conditions DAs are better for patient health and well-being than clinician-led decisions. The authors present a new randomized design to examine the effects of DA-supported patient choice on patient-centered outcomes to identify where DAs are best implemented in clinical practice. In this design, patients are randomized to 1 of 4 arms: intervention A, intervention B, choice of either intervention supported by a clinician, or choice of either intervention supported by a decision aid. Health and quality of life measured over the long term are presented as the primary outcomes. The authors propose that this design will allow the proper assessment of different modes of decision making.

摘要

决策辅助工具(DAs)是支持患者与医生共同做出明智健康决策的工具。它们旨在提高患者对各种选择的了解,纳入患者的偏好和价值观,并增强患者在健康决策中的参与度。关于决策辅助工具的争论日益集中在如何在实践中实施它们,人们认为决策辅助工具在促进健康决策方面优于常规临床护理。作者对这一观点提出质疑,并指出决策辅助工具的研究侧重于决策过程的衡量标准,而对决策结果的影响相对了解不足。目前仍不清楚在哪些情况下,决策辅助工具在促进患者健康和福祉方面比临床医生主导的决策更具优势。作者提出了一种新的随机设计,以检验决策辅助工具支持的患者选择对以患者为中心的结果的影响,从而确定决策辅助工具在临床实践中最适合实施的场景。在这种设计中,患者被随机分配到四个组中的一组:干预A、干预B、由临床医生支持的两种干预中的任意一种选择,或由决策辅助工具支持的两种干预中的任意一种选择。长期测量的健康状况和生活质量被作为主要结果呈现。作者认为这种设计将有助于对不同决策模式进行恰当评估。

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