Influence of summer tourist flows on occurrence of out-of-hospital cardiac arrest in an Italian tourist-intensive area.

INTRODUCTION: The study aims to evaluate the seasonal variation of out-of hospital cardiac arrest (OHCA) in a tourist-intensive area. METHODS: Data of all OHCA treated by the Emergency Medical Service of Lecce (LE-EMS), Italy, between 2013 and 2017, were retrospectively analyzed and complemented with information about tourist flows, in order to determine the influence of the seasonal variation of population on incidence and outcome. RESULTS: Tourist arrivals were around 1,700,000 per year, mostly in summer, adding up to 803,161 residents. The occurrence of OHCA did not show a monthly variation when referring to the resident population (p = 0.90). When taking into account the tourist flows, a difference in occurrence of OHCA across months was found, with the highest rate of arrests in December and the lowest in August (10.3 vs 3.4 per 100,000 persons, p < 0.01). No difference was found in terms of EMS arrival time and event survival rate between summer and the rest of the year (13.6 vs 13.8 min, p = 0.55, and 4.4% vs 4.5%, p = 0.86, respectively). CONCLUSION: In summer tourism areas, the occurrence of OHCA is unchanged throughout the year, while the actual population presents seasonal increases. Summer enhancement of provincial EMS may contribute to maintain the performance of emergency care.

Advanced life support provider course in Italy: A 5-year nationwide study to identify the determinants of course success.

INTRODUCTION: The advanced life support (ALS) provider course is the gold standard for teaching and assessing competence in advanced resuscitation. Outcomes over a 5-year period of European Resuscitation (ERC)/IRC ALS provider courses in Italy were investigated, and the factors associated with course success are described. METHODS: In 2008, the Italian Resuscitation Council (IRC) created a database in which every ERC/IRC ALS course was recorded. Data from courses organized from 2008 to 2012 were analysed. The data included: candidate's age and degree (medical doctor (MD) or nurse), medical specialty of MD candidates, course outcomes, duration and reference guidelines, number of instructors and course director. Relationships between the course outcomes and the courses and candidates' characteristics were analysed using logistic regression. RESULTS: A total of 13,624 candidates were evaluated from 871 courses. Among the candidates, 55% were MDs and 45% were nurses. Ninety-seven percent of candidates passed the final evaluation, while 3% failed. Candidates who passed were younger (37 [31-44] vs. 43 [37-50] years, p<0.0001) and had a greater pre-course resuscitation knowledge (multiple choice quiz (MCQ) score: 88 [83-93] vs. 80 [73-87], p<0.0001) compared to those who failed. The course pass rate was higher for MDs compared to nurses (98% vs. 95%, p<0.0001) and participants in emergency disciplines were most significantly associated with course success (χ(2) 71, p<0.0001). In the multivariate analysis, an older age (OR 0.926, 95%CI [0.915-0.937]) was independently associated with course failure, while being a MD (OR 3.021, 95%CI [2.212-4.132]), having a higher pre-course MCQ score (OR 1.033, 95%CI [1.026-1.040]) together with a higher candidate/instructor ratio (OR 1.314, 95%CI [1.067-1.618]), and having a longer course duration (OR 1.717, 95%CI [1.090-2.703]), were independently associated with success. CONCLUSIONS: Younger age, professional background, and pre-course resuscitation knowledge are the most important predictors of ALS provider course success, together with higher candidate/instructor ratios and longer course durations.

Motion detection technology as a tool for cardiopulmonary resuscitation (CPR) quality training: a randomised crossover mannequin pilot study.

INTRODUCTION: Outcome after cardiac arrest is dependent on the quality of chest compressions (CC). A great number of devices have been developed to provide guidance during CPR. The present study evaluates a new CPR feedback system (Mini-VREM: Mini-Virtual Reality Enhanced Mannequin) designed to improve CC during training. METHODS: Mini-VREM system consists of a Kinect(®) (Microsoft, Redmond, WA, USA) motion sensing device and specifically developed software to provide audio-visual feedback. Mini-VREM was connected to a commercially available mannequin (Laerdal Medical, Stavanger, Norway). Eighty trainees (healthcare professionals and lay people) volunteered in this randomised crossover pilot study. All subjects performed a 2 min CC trial, 1h pause and a second 2 min CC trial. The first group (FB/NFB, n=40) performed CC with Mini-VREM feedback (FB) followed by CC without feedback (NFB). The second group (NFB/FB, n=40) performed vice versa. Primary endpoints: adequate compression (compression rate between 100 and 120 min(-1) and compression depth between 50 and 60mm); compressions rate within 100-120 min(-1); compressions depth within 50-60mm. RESULTS: When compared to the performance without feedback, with Mini-VREM feedback compressions were more adequate (FB 35.78% vs. NFB 7.27%, p<0.001) and more compressions achieved target rate (FB 72.04% vs. 31.42%, p<0.001) and target depth (FB 47.34% vs. 24.87%, p=0.002). The participants perceived the system to be easy to use with effective feedback. CONCLUSIONS: The Mini-VREM system was able to improve significantly the CC performance by healthcare professionals and by lay people in a simulated CA scenario, in terms of compression rate and depth.

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

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.