METHODS: A content analysis of 54 published post-event medical case reports, including a comparison of the features of published data models for MG health outcomes.
RESULTS: A layered model of essential conceptual components for post-event medical reporting is presented as the Data Reporting, Evaluation, & Analysis for Mass-Gathering Medicine (DREAM) model. This model is relational and embeds data domains, organized operationally, into \"inputs,\" \"modifiers,\" \"actuals,\" and \"outputs\" and organized temporally into pre-, during, post-event, and reporting phases.
CONCLUSIONS: Situating the DREAM model in relation to existing models for data collection vis a vis health outcomes, the authors provide a detailed discussion on similarities and points of difference.
CONCLUSIONS: Currently, data collection and analysis related to understanding health outcomes arising from MGs is not informed by robust conceptual models. This paper is part of a series of nested papers focused on the future state of post-event medical reporting.
方法:对54份已发表的事件后医学病例报告进行内容分析,包括已发布的MG健康结果数据模型的特征比较。
结果:事件后医疗报告的基本概念组成部分的分层模型作为数据报告,评价,质量聚集医学(DREAM)模型分析。此模型是关系模型,并嵌入数据域,有组织的操作,进入“输入,\"\"修饰符,\"\"实际值,\"和\"输出\",并按时间组织到前,during,事后,报告阶段。
结论:将DREAM模型与现有的数据收集模型相对于健康结果,作者对相同点和不同点进行了详细的讨论。
结论:目前,与了解MGs产生的健康结果相关的数据收集和分析不能通过稳健的概念模型获得。本文是一系列嵌套论文的一部分,重点是事件后医学报告的未来状态。