Research and Development, Pre-hospital Emergency Medical Services, Central Denmark Region, Olof Palmes Allé 34, 8200, Aarhus N, Denmark.
Department of Anaesthesiology, Aarhus University Hospital, Aarhus, Denmark.
Scand J Trauma Resusc Emerg Med. 2019 Apr 5;27(1):38. doi: 10.1186/s13049-019-0615-5.
The Danish Helicopter Emergency Medical Service (HEMS) is part of the Danish pre-hospital response offering advanced patient care on scene and during rapid transport to definitive care. Monitoring HEMS performance and the quality of critical care has high national as well as international priority underlining the need for research in this field. The data quality of the Danish HEMS database is unknown. Furthermore, a set of quality indicators (QI) developed by an international collaboration group (EQUIPE) potentially for use in physician-staffed EMS, has recently been presented. The aim of the current study was to present the design and data quality of the Danish helicopter database, and to evaluate the coverage of available variables in the database according to the QIs proposed.
The study included all helicopter dispatches between October 1st 2014 and April 30th 2018. The database layout and data entering procedure, as well as the key variables and data completeness were described. Furthermore, missing data and misclassifications were addressed. Lastly, the 26 QIs proposed by the EQUIPE-collaboration were evaluated for coverage in the HEMS database.
A total of 13,392 missions were included in the study. The database includes a broad spectrum of mission- and patient-specific data related to the pre-hospital pathway of acutely ill or injured patients in a national coverage. Missing data for the majority of variables is less than 6.5%. The percentage of completed report forms has increased over time and reached 99.9% in 2018. Misclassification were observed for 294 patients in the study period corresponding to 3,7%. Less than half of the QIs proposed by the EQUIPE-collaboration group were directly available from the database.
Helicopter Emergency Medical Services in Denmark are a new and sparsely investigated health care provider. The database contains nearly all missions dispatched by the five regional Emergency Medical Dispatch Centres. Generally, the data quality is considered high with great potential for future research. Potential quality indicators as proposed by the EQUIPE-collaboration group could inspire the configuration and design of the next version of Hemsfile creating an even more solid basis for research and quality improvement.
丹麦直升机紧急医疗服务（HEMS）是丹麦院前反应的一部分，提供现场高级患者护理，并在快速转运至确定性治疗期间提供护理。监测 HEMS 的绩效和重症监护质量具有国家和国际优先事项，这突显了该领域研究的必要性。丹麦 HEMS 数据库的数据质量尚不清楚。此外，最近一个国际合作小组（EQUIPE）提出了一组质量指标（QI），可能用于配备医师的 EMS。本研究的目的是介绍丹麦直升机数据库的设计和数据质量，并根据提出的 QI 评估数据库中可用变量的覆盖范围。
本研究包括 2014 年 10 月 1 日至 2018 年 4 月 30 日期间的所有直升机派遣。描述了数据库布局和数据输入程序，以及关键变量和数据完整性。此外，还解决了缺失数据和分类错误问题。最后，评估了 EQUIPE 合作提出的 26 个 QI 在 HEMS 数据库中的覆盖范围。
共有 13392 次任务纳入研究。该数据库包含与急性病或受伤患者院前途径相关的广泛的任务和患者特定数据，涵盖了全国范围。大多数变量的缺失数据少于 6.5%。随着时间的推移，填写完整报告的比例有所增加，2018 年达到 99.9%。在研究期间，观察到 294 名患者存在分类错误，占 3.7%。EQUIPE 合作组提出的 QI 中，不到一半可以直接从数据库中获得。
丹麦的直升机紧急医疗服务是一种新的、研究较少的医疗保健提供者。该数据库包含五个地区紧急医疗调度中心派遣的几乎所有任务。总体而言，数据质量被认为很高，具有很大的研究潜力。EQUIPE 合作组提出的潜在质量指标可以为 Hemsfile 的下一个版本的配置和设计提供灵感，为研究和质量改进奠定更坚实的基础。
