Varieties of uncertainty in health care: a conceptual taxonomy.

Varieties of uncertainty in health care: a conceptual taxonomy.
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DOI:
10.1177/0272989x11393976
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发表时间:
2011-11
期刊:
Medical decision making : an international journal of the Society for Medical Decision Making
影响因子:
--
通讯作者:
Arora NK
Arora NK
中科院分区:
其他
文献类型:
--
作者:
Han PK;Klein WM;Arora NK

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鉴于循证医学、共享决策和以患者为中心的护理日益受到重视,不确定性是一个普遍而重要的问题,在卫生保健中引起了越来越多的关注。然而,我们对这一问题的理解是有限的,部分原因是缺乏一个统一的、连贯的不确定性概念。医疗保健中的不确定性有多种含义和种类,虽然每一种都可能有独特的影响或需要采取不同的行动方案,但它们往往不被区分或承认。因此,关于卫生保健中不确定性的文献是支离破碎的,现有的见解已经完全转化为临床实践。本文试图通过综合来自传播学、决策科学、工程学、卫生服务研究和心理学等领域的各种理论和实证文献来解决这一问题,并发展一种新的关于不确定性的综合概念分类。我们提出了一个三维分类法,根据医疗保健的基本来源、问题和地点来表征医疗保健中的不确定性。我们展示了这种新的分类法如何通过澄清其性质和预后,并为其分析和管理提出适当的策略,从而促进对卫生保健中的不确定性问题的有组织的方法。
Uncertainty is a pervasive and important problem that has attracted increasing attention in health care, given the growing emphasis on evidence-based medicine, shared decision making, and patient-centered care. However, our understanding of this problem is limited, due in part to the absence of a unified, coherent concept of uncertainty. There are multiple meanings and varieties of uncertainty in health care, which are not often distinguished or acknowledged although each may have unique effects or warrant different courses of action. The literature on uncertainty in health care is thus fragmented, and existing insights have been incompletely translated to clinical practice. In this paper we attempt to address this problem by synthesizing diverse theoretical and empirical literature from the fields of communication, decision science, engineering, health services research, and psychology, and developing a new integrative conceptual taxonomy of uncertainty. We propose a three-dimensional taxonomy that characterizes uncertainty in health care according to its fundamental sources, issues, and locus. We show how this new taxonomy facilitates an organized approach to the problem of uncertainty in health care by clarifying its nature and prognosis, and suggesting appropriate strategies for its analysis and management.
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