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首页> 外文期刊>Journal of professional nursing: official journal of the American Association of Colleges of Nursing >Complexity science education for clinical nurse researchers
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Complexity science education for clinical nurse researchers

机译：临床护士研究人员复杂性科学教育

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Nurse researchers-in-training learn that traditional research methods aligning with the positivist paradigm are suitable for evaluating the effects of clinical interventions. Preferred research methods (such as the randomized controlled trial) are based on assumptions that linear cause-and-effect relationships are discoverable through careful manipulation of variables under controlled conditions. Yet clinical intervention trials in practice are much more often done in environments which are in constant states of flux, with dynamic and unpredictable variables rather than settings where uniformity and control are routine. Graduate nursing programs should expose students with interests in clinical research to methods that will enable them to make sense of how to evaluate clinical interventions in real world conditions. In this paper, we discuss the relevance of concepts from the field of Complexity Science-with a focus on Complex Adaptive Systems-to clinical research and examine their potential value to guide nursing research that informs evidence-based nursing interventions. We argue that the introduction of these concepts into graduate nursing curricula is fundamental to the preparation of future nurse scientists who will address the complex healthcare problems of this century.
机译：护士研究人员 - 培训学报了传统的研究方法与实证主义范例对齐适用于评估临床干预的影响。优选的研究方法（例如随机对照试验）基于假设，通过在受控条件下仔细操作变量来发现线性原因和效应关系。然而，在实践中的临床干预试验更常见于持续的助焊状态的环境中，具有动态和不可预测的变量，而不是均匀性和控制是常规的环境。毕业生护理计划应将学生们在临床研究中对学生进行兴趣，以使他们能够理解如何评估现实世界条件的临床干预措施。在本文中，我们讨论了复杂性科学领域的概念的相关性 - 以复杂的自适应系统为重点 - 临床研究，并检查他们的潜在价值，以指导护理研究通知基于证据的护理干预措施。我们认为将这些概念引入毕业生护理课程是制定未来护士科学家的基础，他们将解决本世纪复杂的医疗保健问题。

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