评估图像趋势 作为国家EMS数据集协作:与国家EMS信息系统的跨部门比较
Alexander J Ulintz1, Christopher B Gage2,3, Jonathan R Powell2,3
1Department of Emergency Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Prehospital emergency care
|July 7, 2025
概括
图像趋势协作 (ITC) 数据集在很大程度上反映了国家紧急医疗服务 (EMS) 数据,尽管在机构类型和地区存在一些差异. 了解这些变异对于使用ITC进行准确的医院前研究至关重要.
科学领域:
- 紧急医疗服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 医院前护理数据分析数据分析
背景情况:
- 图像趋势协作 (ITC) 数据集为医院前研究提供了一个新的资源.
- 与已建立的数据存储库相比,其国家代表性仍然未被评估.
- 评估ITC的准确性对于其在研究中的可靠使用至关重要.
研究的目的:
- 评估ImageTrend协作 (ITC) 数据集的国家代表性.
- 将ITC数据特征与2022年国家EMS信息系统 (NEMSIS) 研究数据集进行比较.
- 识别ITC捕获的EMS事件特征中的潜在偏差或差异.
主要方法:
- 一项横截面研究,将2022年ITC数据与2022年NEMSIS数据进行比较.
- 分析包括 9-1-1 EMS 激活,比较呼叫,患者和干预特征.
- 使用比例差异 (PD) 和标准化平均差异 (SMD) 量化差异.
主要成果:
- ITC和NEMSIS数据集分别包括超过950万和4190万个EMS事件.
- ITC显示,消防机构和高级紧急医疗技术人员的比例更高,志愿者机构的代表性更低.
- 在人口普查区域分布中观察到关键差异,在西部,东北部和中西部有显著差异.
结论:
- 图像趋势协作通常反映了国家EMS呼叫,患者和干预特征.
- 在ITC中机构类型和区域代表的差异可能是由于自我选择.
- 研究人员必须了解ITC的特定特征,以便进行适当的医院前研究和分析.
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