The Danish helicopter emergency medical service database: high quality data with great potential

Autor: Jens Aage Kølsen Petersen, Charlotte Barfod, Karen Alstrup, Thea Palsgaard Møller, Leif Rognås, Lars Knudsen
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
Emergency Medical Services
Quality management
Aircraft
Critical Care
Databases
Factual
PHYSICIAN-STAFFED HELICOPTER
IMPACT
Denmark
media_common.quotation_subject
Quality indicators
Critical Care and Intensive Care Medicine
computer.software_genre
Field (computer science)
Validity
Danish
03 medical and health sciences
0302 clinical medicine
IMPLEMENTATION
Emergency medical services
Humans
Medicine
Quality (business)
030212 general & internal medicine
Original Research
media_common
Database
business.industry
Data quality
lcsh:Medical emergencies. Critical care. Intensive care. First aid
Emergency Medical Dispatch
030208 emergency & critical care medicine
Air Ambulances
lcsh:RC86-88.9
CARE
Missing data
Quality Improvement
language.human_language
Data Accuracy
Emergency Medicine
language
Emergency medical dispatch
Helicopter EMS
Female
FOLLOW-UP
business
computer
SYSTEM
Zdroj: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 27, Iss 1, Pp 1-10 (2019)
Alstrup, K, Petersen, J A K, Barfod, C, Knudsen, L, Rognås, L & Møller, T P 2019, ' The Danish helicopter emergency medical service database: high quality data with great potential ', Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, vol. 27, 38 . https://doi.org/10.1186/s13049-019-0615-5
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
ISSN: 1757-7241
DOI: 10.1186/s13049-019-0615-5
Popis: Background 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. Method 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. Results 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. Conclusions 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. Electronic supplementary material The online version of this article (10.1186/s13049-019-0615-5) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
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