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Randomised clinical simulation designed to evaluate the effect of telemedicine using Google Glass on cardiopulmonary resuscitation (CPR)
  1. Nuria Pérez Alonso1,
  2. Manuel Pardo Rios1,
  3. Laura Juguera Rodriguez1,
  4. Tomas Vera Catalan2,
  5. Francisca Segura Melgarejo3,
  6. Belen Lopez Ayuso4,
  7. Carolina Martínez Riquelme5,
  8. Joaquin Lasheras Velasco4,6
  1. 1Nursing Faculty, Catholic University of Murcia (UCAM), Nurse in the 061 Emergency Services (112) of Murcia, Murcia, Spain
  2. 2Nursing Faculty, Master's degree in Cardiovascular Risk of the Catholic University of Murcia (UCAM), Murcia, Spain
  3. 3Hospital Virgen de la Arrixaca in Murcia, Murcia, Spain
  4. 4Computer Engineering Faculty, Catholic University of Murcia (UCAM), Murcia, Spain
  5. 5Department of Statistics and Operational Research, University of Murcia, Murcia, Spain
  6. 6Center of Information Technologies and Communications (CENTIC) of Murcia, Murcia, Spain
  1. Correspondence to Dr Joaquin Lasheras Velasco, Computer Engineering Faculty, Catholic University of Murcia, Campus de los Jerónimos, Nº 135 Guadalupe 30107, Murcia, Spain; jlasheras{at}


Aim Through a clinical simulation, this study aims to assess the effect of telematics support through Google Glass (GG) from an expert physician on performance of cardiopulmonary resuscitation (CPR) performed by a group of nurses, as compared with a control group of nurses receiving no assistance.

Methods This was a randomised study carried out at the Catholic University of Murcia (November 2014–February 2015). Nursing professionals from the Emergency Medical Services in Murcia (Spain) were asked to perform in a clinical simulation of cardiac arrest. Half of the nurses were randomly chosen to receive coaching from physicians through GG, while the other half did not receive any coaching (controls). The main outcome of the study expected was successful defibrillation, which restores sinus rhythm.

Results Thirty-six nurses were enrolled in each study group. Statistically significant differences were found in the percentages of successful defibrillation (100% GG vs 78% control; p=0005) and CPR completion times: 213.91 s for GG and 250.31 s for control (average difference=36.39 s (95% CI 12.03 to 60.75), p=0.004).

Conclusions Telematics support by an expert through GG improves success rates and completion times while performing CPR in simulated clinical situations for nurses in simulated scenarios.

  • emergency medical services
  • cardiopulmonary resuscitation
  • telemedicine

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  • Contributors All listed authors meet International Committee of Medical Journal Editor's specific requirements regarding the duties and responsibilities of authorship. All authors have contributed significantly in the design, development and production of this manuscript.

  • Competing interests None declared.

  • Patient consent Obtained.

  • Provenance and peer review Not commissioned; externally peer reviewed.