Kitson Alison L
Green Templeton College, University of Oxford, UK.
J Adv Nurs. 2009 Jan;65(1):217-28. doi: 10.1111/j.1365-2648.2008.04864.x. Epub 2008 Nov 14.
Despite over 40 years' work on general systems theory, informed by critical social science, there is a mismatch between the theories used to explain and influence clinical practice in nursing and the way in which transferring new knowledge into practice is articulated.
The analysis and emerging propositions were based on a critique of seminal texts published in English up to 2008 covering critical social science, action science, diffusion of innovations, practice development and the management of innovations.
There is an implicit adherence to the world view that healthcare systems operate like machines, and much of the science generated around knowledge translation research tends to be logico-deductive. This is in direct contrast to the prevailing arguments of general systems theorists, who view the system more as an organism. Five propositions are posited: knowledge translation is a necessary but not sufficient mechanism to transform systems; the 'system-as-machine' metaphor is profoundly unhelpful to knowledge translation; the healthcare system is best viewed as a complex entity; successful innovation is a function of the level of local autonomy experienced by individuals, teams and the unit involved; innovation is most effective when it involves key stakeholders.
The purposeful integration of systems theory with knowledge translation theories and models may enable the application of research and new knowledge to practice to be speeded up.
尽管在批判社会科学的指导下,针对一般系统理论已开展了40多年的研究,但用于解释和影响护理临床实践的理论与将新知识转化为实践的阐述方式之间仍存在不匹配。
分析及新提出的观点基于对截至2008年以英文发表的涵盖批判社会科学、行动科学、创新扩散、实践发展及创新管理的重要文本的批判。
有一种隐含的对世界观的坚持,即医疗保健系统像机器一样运作,并且围绕知识转化研究产生的许多科学往往是逻辑演绎的。这与一般系统理论家的主流观点形成直接对比,后者更多地将系统视为一个有机体。提出了五个观点:知识转化是变革系统的必要但不充分机制;“系统即机器”的隐喻对知识转化极为不利;医疗保健系统最好被视为一个复杂的实体;成功的创新是个体、团队及相关单位所体验到的地方自主权水平的函数;当创新涉及关键利益相关者时最为有效。
将系统理论与知识转化理论及模型进行有目的的整合,可能会加快研究及新知识在实践中的应用。