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J Korean Soc Emerg Med > Volume 31(4); 2020 > Article
Journal of The Korean Society of Emergency Medicine 2020;31(4): 339-345.
영상전화를 이용한 응급의료 전화상담원의 심정지 인지에 관한 시뮬레이션 연구
권대혁1, 조영석1, 이진혁1, 조규종1 , 이창희2
1한림대학교 의과대학 강동성심병원 응급의학과
2남서울대학교 응급구조학과
Simulation study about cardiac arrest recognition of emergency medical dispatcher using video call
Taehyuk Kwon1, Youngsuk Cho1, Jinhyuck Lee1, Gyu Chong Cho1 , Changhee Lee2
1Department of Emergency Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
2Department of Emergency Medical Technician, Namseoul University, Cheonan, Korea
Correspondence  Gyu Chong Cho ,Tel: 02-2224-2595, Fax: 02-488-0119, Email: emdrcho@naver.com,
Received: July 23, 2019; Revised: October 29, 2019   Accepted: October 29, 2019.  Published online: August 31, 2020.
ABSTRACT
Objective:
Bystander cardiopulmonary resuscitation is important for the survival of cardiac arrest patients. The rapid recognition of cardiac arrest by dispatchers leads to quicker initiation of bystander cardiopulmonary resuscitation. This study examines the use of video phone by dispatchers in recognizing cardiac arrest.
Method:
Between June to October 2018, 227 participants were recruited (114 lay people and 113 dispatchers) for this study. Lay people participants answered prepared questionnaires after watching 6 scenario video clips of a collapsed virtual patient with unresponsiveness. Dispatchers were divided into two groups: audio call group and video call group. The audio call group judged for occurrence of a cardiac arrest in the 6 scenarios, referring only to questionnaires of the lay people. The video call group judged the same scenarios referring to questionnaires and scenario video clips. The score of correct answers of each scenario was subsequently analyzed.
Results:
Significant difference was obtained for the total score among the audio call group and the video call group (3.67 ±1.3 vs. 4.66±1.11, respectively; P<0.001). In 2 scenarios concerning cardiac arrest with gasping, the correct answer rate was higher in the video call group (63.9% vs. 85.2%, P<0.001; 59.5% vs. 74.8%, P=0.014). In 2 other scenarios showing non-cardiac arrest with normal breathing, the correct answer rate was also higher in the video call group (52.7% vs. 71.4, P=0.010; 38.2% vs. 63.6%, P<0.001).
Conclusion:
This study determined that compared to the audio call group, dispatchers of the video call group were more accurate in recognizing cardiac arrest. This indicates that video phones are more helpful in determining gasping and in discerning cardiac arrest with syncope or seizure.
Key words: Cardiopulmonary resuscitation; Cardiac arrest; Recognition; Dispatcher
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