Yamamoto Ryo, Maeshima Katsuya, Asakawa Shoko, Haiden Akina, Nishida Yusho, Yamazaki Noriko, Homma Koichiro, Sasaki Junichi
Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan.
Faculty of Nursing and Medical Care, Keio University, Tokyo, Japan.
Disaster Med Public Health Prep. 2021 Dec 1;17:e66. doi: 10.1017/dmp.2021.329.
At mass-gathering events of the Olympic and Paralympic Games, a well-organized, on-site medical system is essential. This study evaluated the vulnerabilities of the prehospital medical system of the TOKYO 2020 Olympic and Paralympic Games (TOKYO2020) to propose corrections that can be generalized to other mass gatherings. The healthcare failure mode and effect analysis (HFMEA) was adopted to analyze vulnerabilities of the on-site medical system proposed by the organizing committee of TOKYO2020. Processes from detecting a patient on the scene to completing transport to a hospital were analyzed. Ten processes with 47 sub-processes and 122 possible failure modes were identified. HFMEA revealed 9 failure modes as vulnerabilities: misidentification of patient, delayed immediate care at the scene, misjudgment of disposition from the on-site medical suite, and inappropriate care during transportation to hospital. Proposed corrections included surveillance to decrease blind spots, first aid brochures for spectators, and uniform protocol for health care providers at the scene. The on-site medical system amended by HFMEA seemed to work appropriately in TOKYO2020.
在奥运会和残奥会等大型活动中,一个组织有序的现场医疗系统至关重要。本研究评估了2020年东京奥运会和残奥会(东京2020)院前医疗系统的脆弱性,以提出可推广到其他大型活动的改进措施。采用医疗失效模式与效应分析(HFMEA)来分析东京2020组委会提出的现场医疗系统的脆弱性。分析了从现场发现患者到完成转运至医院的过程。确定了10个流程,包含47个子流程和122种可能的失效模式。HFMEA揭示了9种作为脆弱性的失效模式:患者身份识别错误、现场即时护理延迟、现场医疗组对处置的判断错误以及转运至医院途中的护理不当。提出的改进措施包括加强监测以减少盲点、为观众提供急救手册以及为现场医护人员制定统一规程。经HFMEA修正后的现场医疗系统在东京2020似乎运行得当。