Development and validation of a mass casualty conceptual model.
Development and validation of a mass casualty conceptual model.
复制标题
大规模伤亡概念模型的开发和验证。
DOI：
10.1111/j.1547-5069.2009.01320.x
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Effken,JudithA
中科院分区：
文献类型：
--
作者：
Culley,JoanM;Effken,JudithA
目的：要开发和验证一个概念模型，提供了一个框架，为大规模伤亡事件的信息系统的开发和评估。设计：该模型的设计是基于现存的文献和现有的理论模型。一个有目的的18名专家样本验证了该模型。开放式的问题，以及一个7点李克特量表，被用来衡量专家共识的重要性，每个结构及其关系的模型和有用的模型，以未来research.Methods：计算机为媒介的应用程序被用来促进修改后的德尔菲技术，通过该技术的专家小组提供验证的概念模型。一轮的问题继续，直到达成共识，作为衡量的四分位数范围（不超过1个量表点，每个项目）;稳定性（变化的分布之间的反应小于15%的回合）;和百分比协议（70%或更高）的指标questions.Findings：两轮的德尔菲过程中需要满足的标准，共识或稳定性相关的结构，关系，和指标的模型。该小组达成共识或足够的稳定性，以保留所有10个结构，9个关系和44个指标中的39个。专家认为该模型是有用的（平均值为5.3的7分制）。结论：该模型的验证提供了第一步，在理解的背景下，大规模伤亡事件发生，并确定变量的影响outcomes.Clinical相关性：这项研究提供了一个基础，了解大规模伤亡护理的复杂性，护士在大规模伤亡事件中发挥的作用，以及必须考虑的因素，在设计和评估信息沟通系统，以支持在这些条件下有效的分诊。
Purpose:To develop and validate a conceptual model that provides a framework for the development and evaluation of information systems for mass casualty events.Design:The model was designed based on extant literature and existing theoretical models. A purposeful sample of 18 experts validated the model. Open‐ended questions, as well as a 7‐point Likert scale, were used to measure expert consensus on the importance of each construct and its relationship in the model and the usefulness of the model to future research.Methods:Computer‐mediated applications were used to facilitate a modified Delphi technique through which a panel of experts provided validation for the conceptual model. Rounds of questions continued until consensus was reached, as measured by an interquartile range (no more than 1 scale point for each item); stability (change in the distribution of responses less than 15% between rounds); and percent agreement (70% or greater) for indicator questions.Findings:Two rounds of the Delphi process were needed to satisfy the criteria for consensus or stability related to the constructs, relationships, and indicators in the model. The panel reached consensus or sufficient stability to retain all 10 constructs, 9 relationships, and 39 of 44 indicators. Experts viewed the model as useful (mean of 5.3 on a 7‐point scale).Conclusions:Validation of the model provides the first step in understanding the context in which mass casualty events take place and identifying variables that impact outcomes of care.Clinical Relevance:This study provides a foundation for understanding the complexity of mass casualty care, the roles that nurses play in mass casualty events, and factors that must be considered in designing and evaluating information‐communication systems to support effective triage under these conditions.