University of California, San Diego, Department of Biomedical Informatics, United States of America.
University of Arizona, College of Nursing, United States of America.
Appl Nurs Res. 2019 Apr;46:20-23. doi: 10.1016/j.apnr.2019.01.003. Epub 2019 Jan 26.
The purpose of this article is to present the derivation of the Practice Primed Decision Model from a naturalistic decision-making framework for use in guiding future nursing decision-making research.
Acute care nurses make decisions in demanding environments under the influence of many factors. The influence of these factors on nurse decision-making is not well understood leading to gaps in understanding how to best support acute care nurse decision-making.
The strategy of theory derivation was used in the development of a new model for use in nursing research. This model incorporates important elements identified in naturalistic decision making, a Recognition Primed Decision Model and an integrative review of nurse decision-making literature.
The new model, Practice Primed Decision Model, provides a new perspective to guide nurse decision-making research. This model includes factors influential to the nurse decision-making process that is more realistic in time limited, high stakes decision-making situations.
本文旨在从自然决策框架推导出实践触发决策模型,用于指导未来的护理决策研究。
在充满挑战的环境中,急症护理护士在多种因素的影响下做出决策。这些因素对护士决策的影响尚不清楚,导致人们对如何最好地支持急症护理护士决策存在理解上的差距。
在开发新的护理研究模型时,使用了理论推导策略。该模型纳入了自然决策、识别触发决策模型以及对护士决策文献综合回顾中确定的重要元素。
新模型——实践触发决策模型,为指导护士决策研究提供了新视角。该模型纳入了对护士决策过程有影响的因素,更符合限时、高风险决策情境的实际情况。