Elsevier

Resuscitation

Volume 82, Issue 12, December 2011, Pages 1514-1518
Resuscitation

Clinical Paper
Mobile phone technology identifies and recruits trained citizens to perform CPR on out-of-hospital cardiac arrest victims prior to ambulance arrival

https://doi.org/10.1016/j.resuscitation.2011.07.033Get rights and content

Abstract

Aim

In a two-parted study, evaluate a new concept were mobile phone technology is used to dispatch lay responders to nearby out-of-hospital cardiac arrests (OHCAs).

Methods

Mobile phone positioning systems (MPS) can geographically locate selected mobile phone users at any given moment. A mobile phone service using MPS was developed and named Mobile Life Saver (MLS). Simulation study: 25 volunteers named mobile responders (MRs) were connected to MLS. Ambulance time intervals from 22 consecutive OHCAs in 2005 were used as controls. The MRs randomly moved in Stockholm city centre and were dispatched to simulated OHCAs (identical to controls) if they were within a 350 m distance. Real life study: during 25 weeks 1271–1801 MRs trained in CPR were connected to MLS. MLS was activated at the dispatch centre in parallel with ambulance dispatch when an OHCA was suspected. The MRs were dispatched if they were within 500 m from the suspected OHCA.

Results

Simulation study: mean response time for the MRs compared to historical ambulance time intervals was reduced by 2 min 20 s (44%), p < 0.001, (95% CI, 1 min 5 s – 3 min 35 s). The MRs reached the simulated OHCA prior to the historical control in 72% of cases. Real life study: the MLS was triggered 92 times. In 45% of all suspected and in 56% of all true OHCAs the MRs arrived prior to ambulance. CPR was performed by MRs in 17% of all true OHCAs and in 30% of all true OHCAs if MRs arrived prior to ambulance.

Conclusion

Mobile phone technology can be used to identify and recruit nearby CPR-trained citizens to OHCAs for bystander CPR prior to ambulance arrival.

Introduction

Survival from out-of-hospital cardiac arrest (OHCA) is generally low, about 5–10%, with the exception of a few controlled settings (casinos, airports and some cities).1, 2 The poor prognosis of OHCA is mainly explained by long time intervals between cardiac arrest, cardiopulmonary resuscitation (CPR) and defibrillation.3 To increase bystander actions and to decrease time to defibrillation substantial resources have been put into CPR educational campaigns and in recent years into the spread of automated external defibrillators (AEDs) in public venues.4 Still, the vast majority of the public with CPR training will never use their skills in real life and most public AEDs will never be deployed.5 Mobile phone technology offers the possibility to locate single mobile phone users at any given moment. If designated lay responders immediately can be identified and recruited to the scene of nearby suspected OHCAs bystander CPR, CPR quality and the use of public access AED might be increased.

The aim of this paper is to describe how mobile phone technology and mobile positioning systems (MPS) can be used to identify lay responders and recruit them to the scene of nearby OHCAs prior to ambulance [emergency medical responders (EMS)] arrival. This paper describes the PILOT-part (focus on technological potentiality and time cuts in cardiac arrest treatment) of the RUMBA (Response to Urgent Mobile Message for Bystander Activation)-project. The RUMBA-project has an overall purpose of increasing survival after OHCA in Stockholm by the activation of CPR-trained citizens and mobilisation of public defibrillators.

Section snippets

Mobile positioning system (MPS)

A mobile phone positioning system (MPS) uses the infrastructure of a mobile phone network to obtain the geographical position of selected mobile phones at any given moment. In urban areas the accuracy varies between 0 and 75 m. In Sweden, where this study was carried out, all major mobile phone service providers use GSM (Global System for Mobile Communications) networks.

Mobile phone positioning and dispatching of lay responders

Tailored mobile phone services that use MPS to locate selected mobile phone users can be developed for different purposes. A

Simulation study

The mobile phone dispatched MRs reached the location for the cardiac arrest before the EMS in 72% (n = 17) of the cases. One cardiac arrest was not found by the MRs due to insufficient address information. The mean difference in response time between the historical controls and the MRs was 2 min 20 s, p > 0.001, (95% CI: 1 min 5 s – 3 min 35 s). The median response time from cardiac arrest to arrival at the scene of OHCA for the mobile phone dispatched MRs were reduced by 56% compared to historical EMS

Discussion

To our knowledge, this paper is the first to present a method where mobile phone technology and mobile positioning system have been used to identify and recruit CPR-trained citizens to the scene of suspected OHCA prior to ambulance arrival. Additionally, we have demonstrated that these CPR-trained lay responders performed CPR in a significant proportion of the OHCAs cases.

Limitations

  • (1)

    MRs response times in the real life study, resuscitation outcome, proportion of bystander CPR performed by others then MRs or survival was not measured in this pilot-phase of the project.

  • (2)

    EMS and mobile phone dispatched responders were alerted to suspected OHCAs and not only to true cardiac arrests.

  • (3)

    Due to legislation or different mobile network infrastructure, the system used in our survey may not be applicable in other countries.

  • (4)

    Baseline EMS service was set as a reference although a dual

Conclusions

Mobile positioning systems can, in an urban setting, be used to identify and recruit nearby CPR-trained citizens to suspected OHCA for bystander CPR prior to ambulance arrival. Further studies are needed to evaluate potential effects on clinical outcome.

Conflict of interest

Tomas Stark has contributed as author to this article with technical design an input regarding the “Mobile Lifesaver Service”. Tomas Stark is employed by LEKAB Communication Systems AB and is also a stockholder in the LEKAB Group. Besides, others did not declare any conflicts of interest.

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A Spanish translated version of the abstract of this article appears as Appendix in the final online version at doi:10.1016/j.resuscitation.2011.07.033.

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