Literature DB >> 21854731

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

Mattias Ringh1, David Fredman, Per Nordberg, Tomas Stark, Jacob Hollenberg.   

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 20s (44%), p<0.001, (95% CI, 1 min 5s - 3 min 35s). 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.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21854731     DOI: 10.1016/j.resuscitation.2011.07.033

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  15 in total

1.  [Comments on: Layperson warning system for cardiac arrest].

Authors:  S K Beckers; S Bergrath
Journal:  Anaesthesist       Date:  2015-09       Impact factor: 1.041

2.  Factors modifying performance of a novel citizen text message alert system in improving survival of out-of-hospital cardiac arrest.

Authors:  Ruud Wm Pijls; Patty J Nelemans; Braim M Rahel; Anton Pm Gorgels
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2017-03-13

Review 3.  Improving Community Survival Rates from Out-of-Hospital Cardiac Arrest.

Authors:  Prashant Rao; Karl B Kern
Journal:  Curr Cardiol Rev       Date:  2018

Review 4.  Enhancing citizens response to out-of-hospital cardiac arrest: A systematic review of mobile-phone systems to alert citizens as first responders.

Authors:  Tommaso Scquizzato; Ottavia Pallanch; Alessandro Belletti; Antonio Frontera; Luca Cabrini; Alberto Zangrillo; Giovanni Landoni
Journal:  Resuscitation       Date:  2020-05-11       Impact factor: 5.262

5.  Smartphone based alerting of first responders during the corona virus disease-19 pandemic: An observational study.

Authors:  Julian Ganter; Domagoj Damjanovic; Georg Trummer; Hans-Jörg Busch; Klemens Baldas; Mike Hänsel; Michael Patrick Müller
Journal:  Medicine (Baltimore)       Date:  2021-07-09       Impact factor: 1.817

6.  Citizen Responder Activation in Out-of-Hospital Cardiac Arrest by Time of Day and Day of Week.

Authors:  Katarina Høgh Mottlau; Linn Charlotte Andelius; Rasmus Gregersen; Carolina Malta Hansen; Fredrik Folke
Journal:  J Am Heart Assoc       Date:  2022-01-21       Impact factor: 6.106

7.  Home Care Providers to the Rescue: A Novel First-Responder Programme.

Authors:  Steen M Hansen; Stig Brøndum; Grethe Thomas; Susanne R Rasmussen; Birgitte Kvist; Anette Christensen; Charlotte Lyng; Jan Lindberg; Torsten L B Lauritsen; Freddy K Lippert; Christian Torp-Pedersen; Poul A Hansen
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

8.  Smartphone apps for cardiopulmonary resuscitation training and real incident support: a mixed-methods evaluation study.

Authors:  Marco Kalz; Niklas Lenssen; Marc Felzen; Rolf Rossaint; Bernardo Tabuenca; Marcus Specht; Max Skorning
Journal:  J Med Internet Res       Date:  2014-03-19       Impact factor: 5.428

9.  Return of spontaneous circulation and long-term survival according to feedback provided by automated external defibrillators.

Authors:  M Agerskov; M B Hansen; A M Nielsen; T P Møller; M Wissenberg; L S Rasmussen
Journal:  Acta Anaesthesiol Scand       Date:  2017-09-13       Impact factor: 2.105

10.  Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study.

Authors:  David Fredman; Jan Haas; Yifang Ban; Martin Jonsson; Leif Svensson; Therese Djarv; Jacob Hollenberg; Per Nordberg; Mattias Ringh; Andreas Claesson
Journal:  BMJ Open       Date:  2017-06-02       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.