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Knowledge translation in health care: a concept analysis

机译:卫生保健中的知识翻译:概念分析

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摘要

>Background: Although knowledge translation is one of the most widely used concepts in health and medical literature, there is a sense of ambiguity and confusion over its definition. The aim of this paper is to clarify the characteristics of KT. This will assist the theoretical development of it and shape its implementation into the health care system >Methods: Walker and Avant’s framework was used to analyze the concept and the related literature published between 2000 and 2010 was reviewed. A total of 112 papers were analyzed. >Results: Review of the literature showed that "KT is a process" and "implementing refined knowledge into a participatory context through a set of challenging activities" are the characteristics of KT. Moreover, to occur successfully, KT needs some necessary antecedents like an integrated source of knowledge, a receptive context, and preparedness. The main consequence of successful process is a change in four fields of healthcare, i.e. quality of patient care, professional practice, health system, and community. In addition, this study revealed some empirical referents which are helpful to evaluate the process. >Conclusion: By aiming to portray a clear picture of KT, we highlighted its attributes, antecedents, consequences and empirical referents. Identifying the characteristics of this concept may resolve the existing ambiguities in its definition and boundaries thereby facilitate distinction from similar concepts. In addition, these findings can be used as a knowledge infrastructure for developing the KT-related models, theories, or tools.
机译:>背景:尽管知识翻译是健康和医学文献中使用最广泛的概念之一,但对其定义仍存在歧义和困惑。本文的目的是阐明KT的特征。这将有助于它的理论发展并将其实施到医疗保健系统中。>方法:使用了Walker和Avant的框架来分析该概念,并回顾了2000年至2010年间发表的相关文献。总共分析了112篇论文。 >结果:对文献的回顾表明,“ KT是一个过程”和“通过一系列具有挑战性的活动在参与性环境中实现精炼知识”是KT的特征。此外,要成功进行,KT需要一些必要的先决条件,例如知识的综合来源,接受性背景和准备。成功过程的主要结果是医疗保健四个领域的变化,即患者护理质量,专业实践,卫生系统和社区。此外,这项研究还揭示了一些经验性参考资料,有助于评估这一过程。 >结论:通过描绘KT的清晰图片,我们重点介绍了KT的属性,前因,后果和经验参照物。识别该概念的特征可以解决其定义和边界方面的现有歧义,从而有助于与相似概念的区分。此外,这些发现可以用作开发与KT相关的模型,理论或工具的知识基础。

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