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首页> 外文期刊>Health promotion international >Making sense in a complex landscape: How the cynefin framework from complex adaptive systems theory can inform health promotion practice
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Making sense in a complex landscape: How the cynefin framework from complex adaptive systems theory can inform health promotion practice

机译：在复杂环境中有意义：来自复杂自适应系统理论的塞恩芬框架如何为健康促进实践提供信息

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Health promotion addresses issues from the simple (with well-known cause/effect links) to the highly complex (webs and loops of cause/effect with unpredictable, emergent properties). Yet there is no conceptual framework within its theory base to help identify approaches appropriate to the level of complexity. The default approach favours reductionism-the assumption that reducing a system to its parts will inform whole system behaviour. Such an approach can yield useful knowledge, yet is inadequate where issues have multiple interacting causes, such as social determinants of health. To address complex issues, there is a need for a conceptual framework that helps choose action that is appropriate to context. This paper presents the Cynefin Framework, informed by complexity science-the study of Complex Adaptive Systems (CAS). It introduces key CAS concepts and reviews the emergence and implications of 'complex' approaches within health promotion. It explains the framework and its use with examples from contemporary practice, and sets it within the context of related bodies of health promotion theory. The Cynefin Framework, especially when used as a sense-making tool, can help practitioners understand the complexity of issues, identify appropriate strategies and avoid the pitfalls of applying reductionist approaches to complex situations. The urgency to address critical issues such as climate change and the social determinants of health calls for us to engage with complexity science. The Cynefin Framework helps practitioners make the shift, and enables those already engaged in complex approaches to communicate the value and meaning of their work in a system that privileges reductionist approaches.
机译：健康促进解决的问题从简单的（具有众所周知的因果关系）到高度复杂的（因果网络和回路具有不可预测的紧急特性）。然而，在其理论基础内没有概念框架可帮助确定适合于复杂程度的方法。默认方法支持简化主义-一种假设，即将一个系统缩减为一部分将通知整个系统行为。这种方法可以产生有用的知识，但是在问题具有多种相互作用的原因（例如健康的社会决定因素）的情况下还不够。为了解决复杂的问题，需要一个概念框架来帮助选择适合上下文的动作。本文介绍了基于复杂性科学的Cynefin框架-复杂自适应系统（CAS）的研究。它介绍了CAS的关键概念，并回顾了健康促进中“复杂”方法的出现及其含义。它以当代实践为例来解释该框架及其使用，并在相关的健康促进理论体系中进行设置。 Cynefin框架，特别是当用作一种有意义的工具时，可以帮助从业者理解问题的复杂性，确定适当的策略并避免在复杂情况下采用还原论方法的陷阱。解决诸如气候变化和健康的社会决定因素等关键问题的紧迫性要求我们参与复杂性科学。 Cynefin框架可帮助从业者做出改变，并使已经从事复杂方法的人们能够在减少主义者方法特权的系统中交流其工作的价值和意义。

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