Literature DB >> 21227560

iCPR: a new application of high-quality cardiopulmonary resuscitation training.

Federico Semeraro1, Floriana Taggi, Gaetano Tammaro, Guglielmo Imbriaco, Luca Marchetti, Erga L Cerchiari.   

Abstract

OBJECTIVES: The present study evaluates a new CPR feedback application for the iPhone (iCPR) designed to improve chest compression performance tested in a cardiac arrest simulation to evaluate performance and acceptance by healthcare professionals and lay people.
METHODS: We built an application specifically dedicated to self-directed CPR training through a tutorial that includes a simple feedback module to guide training in order to improve the quality of chest compressions. We tested it in a sample of 50 users to evaluate the effect of iCPR on performance and it is acceptance. The participants were randomly assigned to one of the study groups and were asked to perform a trial of 2 min of chest compressions (CC), to answer a predefined set of questions and then to perform two more minutes of CC. The first group performing the sequence of CC with iCPR - questions - CC without feedback, and the second the sequence CC without feedback - questions CC with iCPR.
RESULTS: The mean compression rate was 101±2.8 min(-1) when CC were performed with iCPR and 107.8±20.5 min(-1) when performed without iCPR (p<0.01). Overall, the participants considered iCPR useful to maintain CC at the desired rate of 100 compressions per minute.
CONCLUSIONS: The iCPR feedback tool was able to significantly improve the performance of chest compressions in terms of the compression rate in a simulated cardiac arrest scenario. The participants also believed that iCPR helped them to achieve the correct chest compression rate and most users found this device easy to use.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21227560     DOI: 10.1016/j.resuscitation.2010.11.023

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


  14 in total

1.  A new chest compression depth feedback algorithm for high-quality CPR based on smartphone.

Authors:  Yeongtak Song; Jaehoon Oh; Youngjoon Chee
Journal:  Telemed J E Health       Date:  2014-11-17       Impact factor: 3.536

Review 2.  Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature.

Authors:  Andrew Bastawrous; Matthew J Armstrong
Journal:  J R Soc Med       Date:  2013-04       Impact factor: 5.344

Review 3.  The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review.

Authors:  Caroline Free; Gemma Phillips; Leandro Galli; Louise Watson; Lambert Felix; Phil Edwards; Vikram Patel; Andy Haines
Journal:  PLoS Med       Date:  2013-01-15       Impact factor: 11.069

4.  Dissemination of CPR video self-instruction materials to secondary trainees: Results from a hospital-based CPR education trial.

Authors:  Daniel J Ikeda; David G Buckler; Jiaqi Li; Amit K Agarwal; Laura J Di Taranti; James Kurtz; Ryan Dos Reis; Marion Leary; Benjamin S Abella; Audrey L Blewer
Journal:  Resuscitation       Date:  2016-01-14       Impact factor: 5.262

Review 5.  A systematic review of healthcare applications for smartphones.

Authors:  Abu Saleh Mohammad Mosa; Illhoi Yoo; Lincoln Sheets
Journal:  BMC Med Inform Decis Mak       Date:  2012-07-10       Impact factor: 2.796

6.  Real-Time Chest Compression Quality Measurements by Smartphone Camera.

Authors:  Øyvind Meinich-Bache; Kjersti Engan; Tonje Søraas Birkenes; Helge Myklebust
Journal:  J Healthc Eng       Date:  2018-10-28       Impact factor: 2.682

7.  Impact of a Smart-Ring-Based Feedback System on the Quality of Chest Compressions in Adult Cardiac Arrest: A Randomized Preliminary Study.

Authors:  Chiwon Ahn; Seungjae Lee; Jongshill Lee; Jaehoon Oh; Yeongtak Song; In Young Kim; Hyunggoo Kang
Journal:  Int J Environ Res Public Health       Date:  2021-05-19       Impact factor: 3.390

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.  Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea.

Authors:  Chiwon Ahn; Yongtak Cho; Jaehoon Oh; Yeongtak Song; Tae Ho Lim; Hyunggoo Kang; Juncheol Lee
Journal:  Biomed Res Int       Date:  2016-09-07       Impact factor: 3.411

10.  Effect of a feedback system on the quality of 2-minute chest compression-only cardiopulmonary resuscitation: a randomised crossover simulation study.

Authors:  Chunshuang Wu; Jingyu You; Shaoyun Liu; Lan Ying; Yuzhi Gao; Yulin Li; Xiao Lu; Anyu Qian; Mao Zhang; Guangju Zhou
Journal:  J Int Med Res       Date:  2019-12-29       Impact factor: 1.671

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