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以患者为中心的结局研究的协商式参与方法。

Deliberative Engagement Methods for Patient-Centered Outcomes Research.

机构信息

Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 310D, Houston, TX, 77030, USA.

Patient Centered Outcomes Research Institute, 1919 M Street, NW, Suite 250, Washington, DC, 20036, USA.

出版信息

Patient. 2017 Oct;10(5):545-552. doi: 10.1007/s40271-017-0238-8.

Abstract

There is growing emphasis on eliciting and incorporating stakeholder perspectives into health research and public policy development. The deliberative engagement session (DES) method provides one approach to elicit informed preferences from patients and other stakeholders on policy issues. DES involves day-long interaction with participants, including short plenary presentations followed by small group discussion. While interest in DES methods is expanding, practical guidance for researchers on this method remains limited. In this paper, we describe the DES method and its contemporary relevance for health policy research, illustrate how to conduct a DES using an example of a recent patient-centered outcomes research (PCOR) study with which we were involved, and discuss strengths and challenges of using this approach. DES methods generate rich data, reduce the risk of eliciting uniformed preferences or non-attitudes, and increase the likelihood of eliciting informed, reflective preferences. However, they are resource-intensive, and thus generally require trading away a larger, more representative sample. Despite these limitations, the DES method, when carefully designed, is well-suited for engaging stakeholders in research on complex health policy issues.

摘要

人们越来越重视从利益相关者的角度出发,将其观点纳入健康研究和公共政策制定中。协商参与会议(DES)方法为从患者和其他利益相关者那里获取有关政策问题的知情偏好提供了一种途径。DES 包括与参与者进行为期一天的互动,包括简短的全体会议演讲,随后进行小组讨论。虽然人们对 DES 方法的兴趣日益浓厚,但针对该方法的研究人员实用指南仍然有限。在本文中,我们将描述 DES 方法及其在健康政策研究中的当代相关性,举例说明如何使用我们参与的一项近期以患者为中心的结局研究(PCOR)来进行 DES,并讨论使用这种方法的优势和挑战。DES 方法可以生成丰富的数据,减少获取无根据偏好或非态度的风险,并增加获取知情、反思性偏好的可能性。但是,它们需要大量的资源,因此通常需要放弃更大、更具代表性的样本。尽管存在这些限制,但精心设计的 DES 方法非常适合让利益相关者参与有关复杂健康政策问题的研究。

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