国际生殖健康/计划生育 ›› 2017, Vol. 36 ›› Issue (6): 470-473.

• 论著 • 上一篇    下一篇

避孕药具不良事件报告计算机自动审核效果的评估与探讨

陈颖,张敏,林洁,周健,徐宁,许豪勤   

  1. 210036 南京,国家人口和计划生育委员会计划生育药具不良反应监测中心,江苏省计划生育科学技术研究所
  • 收稿日期:2017-08-15 修回日期:2017-10-16 出版日期:2017-11-15 发布日期:2017-11-15
  • 通讯作者: 许豪勤,E-mail:1325825613@qq.com E-mail:1325825613@qq.com
  • 基金资助:
    江苏省科技基础设施建设计划(BM2015020-5);江苏省青年医学重点人才培养项目(QNRC2016556)

Evaluation of Computer-Based Auto-Verification System in Adverse Event Reports of Intrauterine Device

CHEN Ying, ZHANG Min, LIN Jie, ZHOU Jian, XU Ning, XU Hao-qin   

  1.  State Contraceptives Adverse Reaction Surveillance Center, Jiangsu Institute of Planned Parenthood Research, Jiangsu 210036, China
  • Received:2017-08-15 Revised:2017-10-16 Published:2017-11-15 Online:2017-11-15
  • Contact: XU Hao-qin,E-mail:1325825613@qq.com E-mail:1325825613@qq.com

摘要: 目的:对避孕药具不良事件报告的计算机自动审核效果进行评估,并提出改进建议。方法:从本中心2017年1—5月收集并由计算机自动审核的6 520例避孕药具不良事件报告表中抽取5%进行评分。结果:本次评估工作中,由系统自动审核的报告数占总报告数的45.83%。被抽取纳入评估的各种类型的不良事件报告表有339例,平均得分为(97.01±4.20)分,其中不良事件评价部分失分的报告表最多。结论:针对日益增多的避孕药具不良事件报告表开发并应用系统自动审核功能是必要的,运行效果良好,功能完善后可推广使用。

关键词: 避孕, 避孕药, 宫内避孕器, 不良事件报告, 自动数据处理

Abstract: Objective:To evaluate the effectiveness of the computer-based auto-verification system in the adverse event reports of intrauterine device (IUD), so as to provide suggestion and improve this system. Methods: 5% samples from 6 520 adverse event reports of intrauterine device collected by SCARS from January to May of 2017 were selected and scored. Results: In this assessment, the reports auto-verificated by computer were 45.83% of the total reports. 339 cases including various types of adverse events were collected and evaluated, with an average score of (97.01±4.20). Most of the reports lost scores in the part of adverse event evaluation. Conclusions: It is necessary to develop a computer-based auto-verification system for the increasing number of intrauterine device adverse event reports. It could be widely applied with improved and perfect function.

Key words: Contraception; , Contraceptive agents, Intrauterine devices, Adverse event report, Automatic data processing

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