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

中国护理管理 ›› 2023, Vol. 23 ›› Issue (5): 739-743.doi: 10.3969/j.issn.1672-1756.2023.05.020

• 数智化护理 • 上一篇    下一篇

基于乌因斯坦模式的心肺复苏注册数据库的构建与应用

李莹 柯键 袁梦梅 黄素芳 江敏   

  1. 华中科技大学同济医学院附属同济医院急诊科,430030 武汉市(李莹,柯键,黄素芳,江敏);护理部(袁梦梅)
  • 出版日期:2023-05-15 发布日期:2023-05-15
  • 通讯作者: 江敏,本科,副主任护师,护士长,E-mail:1710863116@qq.com
  • 作者简介:李莹,本科,主管护师
  • 基金资助:
    2022年华中科技大学同济医学院附属同济医院科研基金护理专项项目(2022D08)

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

摘要: 目的:评价基于乌因斯坦模式的心肺复苏注册数据库在急诊科的应用效果。方法:成立研发小组,基于指南结合我院临床实际情况构建心肺复苏注册数据库,详细阐述该数据库的框架设计、功能模块、数据录入方法与质量控制措施等。比较数据库应用前后数据填报质量和心搏骤停患者自主循环恢复情况,统计数据库应用后医护人员的满意度。结果:应用该系统后,数据填报漏报率从41.77%下降至27.42%;5项核心数据包括心搏骤停病因、首次监测心律情况(是否为可除颤心律)、第一次除颤时间、是否恢复自主循环、心肺复苏终止时间记录缺失率均显著低于数据库应用前,差异有统计学意义(P<0.05);医护人员对数据库的总体满意程度达到80%以上。结论:基于乌因斯坦模式构建的心肺复苏注册数据库可降低心搏骤停患者数据填报漏报率与核心数据记录缺失率,提高数据填报质量,对于建立全国统一的心搏骤停登记数据库具有一定的参考价值。

关键词: 乌因斯坦模式;心搏骤停;心肺复苏;数据库

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

中图分类号:  R47;R197