主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2023, Vol. 23 ›› Issue (5): 739-743.doi: 10.3969/j.issn.1672-1756.2023.05.020

• Digital Intelligence in Nursing • Previous Articles     Next Articles

Construction and application of cardiopulmonary resuscitation registration database based on Utstein model

LI Ying, KE Jian, YUAN Mengmei, HUANG Sufang, JIANG Min   

  1. Department of Emergency, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
  • Online:2023-05-15 Published:2023-05-15
  • Contact: E-mail:1710863116@qq.com

Abstract: Objective: To explore the application effects of cardiopulmonary resuscitation registration database based on Utstein model in emergency department. Methods: A research and development team was established to build a CPR registration database based on the guidelines and the actual clinical situation of our hospital. We described the framework design, functional modules, data entry and quality control measures of the database in detail. We compared the quality of data filling and the recovery of spontaneous circulation of patients with cardiac arrest before and after the application of the database, and counted the satisfaction of medical staffs after the application of the database. Results: After the application of the database, the rate of missing data reporting decreased from 41.77% to 27.42%. The five core data including the cause of cardiac arrest, the first monitored heart rhythm, the first defibrillation time, the recovery of self-help circulation and the termination time of cardiopulmonary resuscitation were significantly lower than those before the database was launched (P<0.05). The overall satisfaction of medical staff to the database reached more than 80%. Conclusion: The cardiopulmonary resuscitation registration database based on Utstein model can reduce the under-reporting rate of cardiopulmonary resuscitation and the missing rate of core data records in patients with cardiac arrest, and improve the quality of data filling. It provide references for the construction of a unified national cardiac arrest registration database.

Key words: Utstein model; cardiac arrest; cardiopulmonary resuscitation; database

CLC Number: R47;R197