START Triage: Improving a "tried-and-true" methodology.

开始分类：改进“经过验证的”方法。

• 批准号: 7172279
• 负责人: Christopher Alan Kahn
• 金额: $ 6.4万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-09 至 2007-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7172279
• 关键词: START; Triage; Improving; tried; true

DESCRIPTION (provided by the applicant): The project aims to measure the accuracy of patient triage at the scene of a disaster or other mass-casualty incident into each of three acuity categories using criteria defined a priori by the literature, and to calculate sensitivity and specificity for each category. This will be measured for an actual mass-casualty incident involving 162 victims, each triaged using the Simple Triage And Rapid Treatment (START) triage methodology (the standard recognized by the Department of Defense and other governmental agencies, and used worldwide). Secondarily, the time on scene for each group of triaged patients and the average distance from scene to hospital for each group will be measured and examined for significant differences. The long-term objective is to determine whether the national standard for disaster patient triage meets acceptable limits for accuracy and performs acceptably in measurable outcomes such as limiting time on scene and transport distance for more severely injured patients. These data will then be used to refine current triage methodology with the intent of improving patient care, survival, and resource utilization during disasters. The pilot project is a chart review at more than a dozen hospitals, as well as local Emergency Medical Services, using a prospectively defined data collection tool.

描述（由申请人提供）：该项目的目的是测量在灾难或其他大规模伤亡事件现场的患者分类的准确性，使用文献先验定义的标准分为三个急性类别，并计算每个类别的灵敏度和特异性。 这将是衡量一个实际的大规模伤亡事件，涉及162名受害者，每一个分流使用简单的分类和快速治疗（START）分流方法（由国防部和其他政府机构认可的标准，并在世界范围内使用）。 其次，将测量每组分流患者的现场时间和每组从现场到医院的平均距离，并检查是否存在显著差异。 长期目标是确定灾难患者分诊的国家标准是否满足可接受的准确性限制，并在可测量的结果中表现可接受，例如限制现场时间和更严重受伤患者的运输距离。 然后，这些数据将用于改进当前的分诊方法，旨在改善灾难期间的患者护理、生存和资源利用。 该试点项目是在十几家医院以及当地紧急医疗服务部门使用前瞻性定义的数据收集工具进行图表审查。