Literature DB >> 21652136

Early cardiopulmonary resuscitation and use of Automated External Defibrillators by laypersons in out-of-hospital cardiac arrest using an SMS alert service.

Annemieke C Scholten1, Jeannette G van Manen, Wim E van der Worp, Maarten J Ijzerman, Carine J M Doggen.   

Abstract

AIM: To evaluate an SMS service (SMS=short message service=text message) with which laypersons are alerted to go to patients with suspected out-of-hospital cardiac arrest and perform early cardiopulmonary resuscitation (CPR) and use an Automated External Defibrillator (AED). This study is the first to report on a program in which an emergency medical service (EMS) is able to alert citizens by sending them SMS messages on their mobile phone.
METHODS: Web-based questionnaires were completed by laypersons who were sent an alert by the AED-Alert system between February 1, 2010 and April 30, 2010. Questions concerned the process of training, receiving alerts, actions taken and follow-up care.
RESULTS: AED-Alert was activated for 52 patients suspected of cardiac arrest, sending 3227 alerts to 2287 laypersons. Out of 2168 eligible laypersons 1679 (77%) completed 2098 questionnaires, one for each alert. Action was taken in only 579 alerts. Laypersons were not in the patient's vicinity (41%), noticed alerts too late (35%), or other reasons (24%). In 298 alerts laypersons faced problems with retrieving AEDs (51%), finding addresses (29%), traffic (5%), or other (15%). Aid was provided in 75 alerts, involving 47 patients. Laypersons started early CPR and defibrillation (49%), assisted EMS personnel (52%), or took care of family (39%). Laypersons arrived before EMS personnel in 21 patients, started CPR and defibrillation in 18, and assisted EMS personnel in 9 patients.
CONCLUSION: Improvements of the SMS alert service by laypersons, the EMS, and through technical adjustments, could increase the number of laypersons who provide early aid.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21652136     DOI: 10.1016/j.resuscitation.2011.05.008

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


  5 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.  Recruiting Medical Students for a First Responder Project in the Social Age: Direct Contact Still Outperforms Social Media.

Authors:  David Marx; Robert Greif; Mike Egloff; Yves Balmer; Sabine Nabecker
Journal:  Emerg Med Int       Date:  2020-06-01       Impact factor: 1.112

Review 3.  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

4.  The effect of the GoodSAM volunteer first-responder app on survival to hospital discharge following out-of-hospital cardiac arrest.

Authors:  Christopher M Smith; Ranjit Lall; Rachael T Fothergill; Robert Spaight; Gavin D Perkins
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2022-01-12

Review 5.  Crowdsourcing in health and medical research: a systematic review.

Authors:  Cheng Wang; Larry Han; Gabriella Stein; Suzanne Day; Cedric Bien-Gund; Allison Mathews; Jason J Ong; Pei-Zhen Zhao; Shu-Fang Wei; Jennifer Walker; Roger Chou; Amy Lee; Angela Chen; Barry Bayus; Joseph D Tucker
Journal:  Infect Dis Poverty       Date:  2020-01-20       Impact factor: 4.520

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.