Assessment of the implementation of step-by-step adult basic life support sequence by emergency medical technicians and drivers during regular annual training

Sladjana Andjelić,Zoran Radojicic, Srdjan Stojanovic, Vlada Tamburkovski

SIGNA VITAE(2019)

引用 0|浏览0
暂无评分
摘要
Objective. Evaluation of the efficiency of practicing step-by-step (SBS) BLS/AED (basic life support/automatic external defibrillator) sequence by emergency medical technicians (EMT) and ambulance drivers (AD) working in medical transport teams. Methods. A prospective two-month study was conducted in which EMTs and ADs working in medical transport teams performed their regular 4-hour annual training (1 h of lectures, 1.5 h of practical training and 1.5 h of testing). Each participant performed SBS of BLS/AED sequences in front of a three-member team of instructors. The implementation of BLS/AED sequence was evaluated by scoring from 0 to 2 (0 - not, 1 - partially, 2 - properly), separately for EMI's, ADs and in total. The final analysis compared a properly implemented SBS sequence (S1-S36) of actions: IA initial assessment (S1-S10), BLS (S11-S18), AED (S19-S25), RP - recovery position (S26-532) and FBAO - foreign body airway obstruction (S33-S36) for use by the BLS/AED between EMTs and ADs. The criterion for a completed regular training was at least 47 (65.0%) of the total number of points won for properly implemented procedures. Results. The study involved 31 EMTs and 63 Ads, regardless of gender and average age, with EMTs having slightly longer work experience (p>0.05). The results of our study show that EMTs are more skilled at IA, cardiopulmonary resuscitation (CPR) and AED, whereas ADs were better at implementing RP and performing the Heimlich maneuver (p<0.001). Conclusion. Although EMTs and ADs implement SBS BLS/AED procedures correctly and satisfactorily in more than 65.0%, future research should focus on finding more efficient, shorter and cheaper BLS/AED trainings.
更多
查看译文
关键词
basic life support,step-by-step,sequence,emergency medical technicians,ambulance drivers
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要