The efficacy of using Google Maps in accessing nearby public automated external defibrillators in Thailand
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Keywords

Automated External Defibrillators
Google Maps
mobile application

How to Cite

1.
Trainarongsakul T, Yuksen C, Nakasint P, Jenpanitpong C, Laksanamapune T. The efficacy of using Google Maps in accessing nearby public automated external defibrillators in Thailand. Australasian Journal of Paramedicine [Internet]. 2021Jun.16 [cited 2023Jan.31];18. Available from: https://ajp.paramedics.org/index.php/ajp/article/view/899

Abstract

Introduction

Early defibrillation remains the highest priority in the chain of survival for out-of-hospital cardiac arrest. Shock delivery should be performed within 5 minutes of collapse to achieve a 50% survival rate. Google Maps has been one of the most popular mobile navigation applications worldwide. Our primary objective was to assess the efficacy of Google Maps in locating nearby public automated external defibrillators (AEDs).

Methods

Local and non-local populations were enrolled. Participants were randomly assigned to locate AEDs with or without the assistance of Google Maps. Participants used Google Maps on the same smartphone and cellular data network, an activity tracker recorded data for distance covered and time required to retrieve the AED. AEDs were located within 150 seconds of the starting point.

Results

Out of 100 recruited participants there was no difference in baseline characteristics. In the local population group, Google Maps assistance did not show statistical significance in successfully locating the AED within 150 seconds. Correspondingly, the travel time also showed no difference (173.52 ± 50.99 seconds for Google Maps vs. 206.20 ± 159.53 seconds for control group). The result in the non-local population group revealed no significant difference in successfully locating AEDs within 150 seconds: Google Maps (18.52%) vs. control group (39.13%); p=0.126. The recorded travel time between the Google Maps group and control group were similar (307.59 ± 220.10 seconds vs. 284.0 ± 222.37 seconds; p=0.709).

Conclusion

In Thailand, using Google Maps mobile assistance was found to be unhelpful in accessing nearby public AEDs.

https://doi.org/10.33151/ajp.18.899
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References

Link MS, Berkow LC, Kudenchuk PJ, et al. Part 7: adult advanced cardiovascular life support: 2015 American Heart Association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 2015;132(18 Suppl 2):S444-64.

Kleinman ME, Brennan EE, Goldberger ZD, et al. Part 5: adult basic life support and cardiopulmonary resuscitation quality: 2015 American Heart Association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care. ibid. 2015;132(18 Suppl 2):S414-35.

European Resuscitation Council. Part 4: the automated external defibrillator: key link in the chain of survival. Resuscitation 2000;46:73-91.

Berdowski J, Blom MT, Bardai A, et al. Impact of onsite or dispatched automated external defibrillator use on survival after out-of-hospital cardiac arrest. Circulation 2011;124:2225-32.

Sondergaard KB, Hansen SM, Pallisgaard JL, et al. Out-of-hospital cardiac arrest: probability of bystander defibrillation relative to distance to nearest automated external defibrillator. Resuscitation 2018;124:138-44.

Larsen MP, Eisenberg MS, Cummins RO, Hallstrom AP. Predicting survival from out-of-hospital cardiac arrest: a graphic model. Ann Emerg Med 1993;22:1652-8.

Sakai T, Iwami T, Kitamura T, et al. Effectiveness of the new 'Mobile AED Map' to find and retrieve an AED: a randomised controlled trial. ibid. 2011;82:69-73.

Briard JN, Grou-Boileau F, El Bashtaly A, et al Automated external defibrillator geolocalization with a mobile application, verbal assistance or no assistance: a pilot randomized simulation (AED G-MAP). Prehosp Emerg Care 2019;23:420-9.

Brooks SC, Simmons G, Worthington H, Bobrow BJ, Morrison LJ. The PulsePoint Respond mobile device application to crowdsource basic life support for patients with out-of-hospital cardiac arrest: challenges for optimal implementation. Resuscitation 2016;98:20-6.

Hatakeyama T, Nishiyama C, Shimamoto T, et al. A smartphone application to reduce the time to automated external defibrillator delivery after a witnessed out-of-hospital cardiac arrest: a randomized simulation-based study. Simul Healthc 2018;13:387-93.

Berglund E, Claesson A, Nordberg P, et al. A smartphone application for dispatch of lay responders to out-of-hospital cardiac arrests. Resuscitation 2018;126:160-5.

Ringh M, Rosenqvist M, Hollenberg J, et al. Mobile-phone dispatch of laypersons for CPR in out-of-hospital cardiac arrest. N Engl J Med 2015;372:2316-25.