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首页> 外文期刊>American journal of disaster medicine >Validation of a novel irritant gas syndrome triage algorithm.
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Validation of a novel irritant gas syndrome triage algorithm.

机译:一种新型刺激性气体综合征分类算法的验证。

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摘要

Our objective was to validate a novel irritant gas syndrome agent (IGSA) triage algorithm for use in an emergency department (ED). We assessed efficiency, accuracy, and precision of our IGSA triage algorithm based on signs/symptoms of actual patients. After characterizing the signs/symptoms of an actual IGSA exposure event, we developed and validated the IGSA triage algorithm using a simulated computer exercise to compare the IGSA triage algorithm to the preferred hospital triage algorithm, the Emergency Severity Index (ESI). This study was a simulated computer exercise using surveys developed in Research Electronic Data Capture software. Nurse volunteers simulated triaging 298 patients. Patient data included 146 patients treated during the disaster as well as 152 unexposed patients. Twenty-six nurse volunteers were assigned to triage the patients using one of the algorithms in the simulated computer exercise. The precision of the IGSA triage algorithm was 0.82 (confidence interval [CI] 0.78-0.85) and ESI 0.73 (CI 0.69-0.77). Weighted κ for ESI and IGSA accuracy for exposed patients was 0.32 (95% CI 0.26-0.37) and 0.81 (95% CI 0.77-0.85), respectively. The IGSA triage algorithm was more accurate and precise than the ESI algorithm for triaging patients exposed to an irritant gas. This study validates the IGSA triage algorithm as the basis for the development of a prototype software application to quickly identify victims of a chemical disaster and triage patients efficiently and accurately with the potential to dramatically improve the processing of patients in EDs.
机译:我们的目标是验证用于急诊部(ED)的新型刺激性气体综合征代理(IGSA)分类算法。我们根据实际患者的迹象/症状评估了我们的IGSA分类算法的效率,准确性和精确度。在表征实际IGSA曝光事件的迹象/症状之后,我们使用模拟计算机练习开发并验证了IGSA分类算法,将IGSA分类算法与首选医院分类算法,紧急严重性指数(ESI)进行比较。本研究是使用研究电子数据捕获软件中开发的调查的模拟计算机练习。护士志愿者模拟了三环298名患者。患者数据包括在灾难期间治疗的146名患者以及152名未曝光患者。使用模拟计算机锻炼中的一个算法分配二十六名护士志愿者。 IGSA分类算法的精度为0.82(置信区间[CI] 0.78-0.85)和ESI 0.73(CI 0.69-0.77)。对于暴露患者的ESI和IGSA精度的加权κ分别为0.32(95%CI 0.26-0.37)和0.81(95%CI 0.77-0.85)。 IGSA分类算法比暴露于刺激性气体的三环患者的ESI算法更准确和精确。本研究验证了IGSA分类算法作为开发原型软件应用的基础,以便有效,准确地识别化学灾害和分类患者的受害者,以便显着改善EDS中患者的处理。

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    College of Nursing University of South Carolina Columbia South Carolina;

    College of Nursing University of South Carolina Columbia South Carolina;

    Database Architect Honest Broker Office of Biomedical Informatics Center Medical University of;

    College of Nursing University of South Carolina Columbia South Carolina;

    College of Nursing University of South Carolina Columbia South Carolina;

    Department of Public Health Sciences Medical University of South Carolina Charleston South;

    College of Nursing University of South Carolina Columbia South Carolina;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 灾害及其防治;
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