Section of EMS, Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Prehosp Emerg Care. 2012 Oct-Dec;16(4):505-12. doi: 10.3109/10903127.2012.689929. Epub 2012 Jun 12.
This paper describes the methodology of a large emergency medical services (EMS) data linkage research project currently under way in the statewide EMS system of New South Wales, Australia. The paper is intended to provide the reader with an understanding of how linkage techniques can be used to facilitate EMS research. This project, the Australian Prehospital Outcomes Study of Longitudinal Epidemiology (APOStLE) Project, links data from six statewide sources (computer-assisted dispatch, EMS patient health care reports, emergency department data, inpatient data, and two death registries) to enable researchers to examine the patient's entire journey through the health care system, from the emergency 0-0-0 call to the emergency department and inpatient setting, through to discharge or death, for approximately 2.6 million patients transported by the Ambulance Service of New South Wales to emergency departments between June 2006 and July 2009. Manual, deterministic, and probabilistic data linkages are described, and potential applications of linked data in EMS research are outlined.
本文介绍了目前正在澳大利亚新南威尔士州全州范围内的紧急医疗服务（EMS）数据链接研究项目的方法学。本文旨在为读者提供对链接技术如何用于促进 EMS 研究的理解。该项目，即澳大利亚院前结局研究的纵向流行病学（APOStLE）项目，链接了来自六个全州范围数据源（计算机辅助调度、EMS 患者医疗报告、急诊部数据、住院数据和两个死亡登记处）的数据，使研究人员能够检查患者在医疗保健系统中的整个就医过程，从急救 0-0-0 呼叫到急诊部和住院部，直至出院或死亡，涉及到 260 万新南威尔士州救护车服务机构在 2006 年 6 月至 2009 年 7 月间转运到急诊部的患者。描述了手动、确定性和概率性的数据链接，并概述了链接数据在 EMS 研究中的潜在应用。
