Universität zu Köln

Ecker, Hannes, Lindacher, Falko, Dressen, Jan, Wingen, Sabine, Hamacher, Stefanie ORCID: 0000-0003-2158-9101, Boettiger, Bernd W. and Wetsch, Wolfgang A. (2020). Accuracy of automatic geolocalization of smartphone location during emergency calls - A pilot study. Resuscitation, 146. S. 5 - 13. CLARE: ELSEVIER IRELAND LTD. ISSN 1873-1570

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Abstract

Introduction: Widespread use of smartphones allows automatic geolocalization (i.e., transmission of location data) in countless apps. Until now, this technology has not been routinely used in connection with an emergency call in which location data play a decisive role This study evaluated a new software automatically providing emergency medical service (EMS) dispatchers with a caller's geolocation. We hypothesized that this technology will provide higher accuracy, faster dispatching of EMS and a faster beginning of thoracic compressions in a cardiac arrest scenario. Material and methods: Approval from the local Ethics Committee was obtained. 108 simulated emergency calls reporting a patient in cardiac arrest were conducted at 54 metropolitan locations, which were chosen according to a realistic pattern. At each location, a conventional emergency call, with an oral description of the location, was given first; subsequently, another call using an app with automatic geolocation was placed. Accuracy of localization, time to location, time to EMS dispatch and time to first thoracic compression were compared between both groups. Results: The conventional emergency call was always successful (n = 54). Emergency call via app worked successfully in n =46 cases (85.2%). Automatic geolocation was provided to EMS in all these n =46 cases (100%). Deviation from estimated position to actual position was 1173.5 +/- 4343.1 m for conventional and 65.6 +/- 320.5 m for automatic geolocalization (p <0.001). In addition, time to localization was significantly shorter using automatic geolocalization (34.7 vs. 71.7 s, p <0.001). Time to first thoracic compression was significantly faster in the geolocalization group (83.0 vs. 122.6 s; p< 0.001). Conclusions: This pilot study showed that automatic geolocalization leads to a significantly shorter duration of the emergency call, significantly shorter times until the beginning of thoracic compressions, and a higher precision in determining the location of an emergency.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ecker, Hannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Lindacher, Falko UNSPECIFIED UNSPECIFIED UNSPECIFIED Dressen, Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Wingen, Sabine UNSPECIFIED UNSPECIFIED UNSPECIFIED Hamacher, Stefanie UNSPECIFIED orcid.org/0000-0003-2158-9101 UNSPECIFIED Boettiger, Bernd W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wetsch, Wolfgang A. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-352313
DOI:	10.1016/j.resuscitation.2019.10.030
Journal or Publication Title:	Resuscitation
Volume:	146
Page Range:	S. 5 - 13
Date:	2020
Publisher:	ELSEVIER IRELAND LTD
Place of Publication:	CLARE
ISSN:	1873-1570
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DISPATCH; CPR Multiple languages Critical Care Medicine; Emergency Medicine Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/35231