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Health science reports · 2024

Exploration of cardiopulmonary resuscitation teamwork training for maternal cardiac arrest using the SimMan intelligent simulation platform: A simulation teaching study.

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Zhang Ruirui, Liu Yu, Zhang Mingming, Ning Kejuan, Bai Hongliang, Guo Litao

Аннотация

BACKGROUND AND AIMS: Maternal cardiac arrest is the most urgent clinical event in obstetrics and can lead to serious consequences, such as maternal or fetal death. Therefore, the training of team cardiopulmonary resuscitation (CPR) skills for obstetricians is essential. The aim of this study was to investigate the effect of applying intelligent simulation to CPR in maternal cardiac arrest teamwork training for obstetricians.

METHODS: Twenty-four obstetricians who participated in the "Maternal First Aid Workshop," organized by our hospital in 2018, were selected as training participants. The SimMan intelligent comprehensive patient simulator was used to train the CPR team collaboration with first-aid skills. Each team participating in the training was assessed before and after the training using a questionnaire survey.

RESULTS: The evaluation of the results after the training showed that all four teams were qualified and that the timing of the cesarean section was 100% correct. The mean score, team collaboration score, and chest compression fraction were significantly higher than before training. Teamwork CPR assessment time, interruption time of chest compressions, and artificial airway establishment time were significantly shorter than before training. The questionnaire survey showed that 95.8% of the physicians reported that the training was rewarding and helpful to their clinical work, and 100% of the physicians believed that obstetricians require similar training.

CONCLUSION: Using the SimMan intelligent comprehensive patient simulator to train obstetricians for CPR of maternal cardiac arrest teamwork first-aid skills can significantly improve the training effect, clinical first-aid skills, and teamwork awareness.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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