关联规则法用于护士给药错误的数据挖掘分析
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女,本科,主管护师

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上海市卫生计生系统重要薄弱学科建设计划项目(2015ZB0301 );复旦大学-复星护理科研基金项目(FNF201934)


Data mining of the related factors of drug administration errors made by clinical nurses based on association rules
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    摘要:

    目的 了解临床护士发生给药错误的特征,通过关联规则找寻给药错误发生的相关因素各特征之间的联系,为预防给药错误提供参考依据。 方法 收集2016年1月至2020年10月上海市3所综合性医院发生的136例给药错误案例的相关信息,采用关联规则的Apriori算法进行数据分析。 结果 从给药错误发生人员特征、发生时间、给药途径、错误类型和错误项目总结用药差错发生的特征,其中136例给药错误事件中共125例护士给药错误,共发现706条强关联规则,最终筛选出12条具有临床实际意义的关联规则,规则1~3揭示了护士未用PDA的相关因素,规则4~8揭示了护士未依照标准操作流程操作的相关因素,规则9~12揭示了人员疏忽的相关因素。 结论 护理人员工作年限、职称、学历、给药错误发生时间、科室、给药途径与未用PDA、未依照标准操作流程操作和人员疏忽的之间的关联规则,为临床护士识别给药中的危险因素提供了指导意见,临床管理者可从加强护理人员正确用药观念,注重各阶段护士培训,推行人力资源配置适时性,完善信息化建设等方面预防给药错误的发生。

    Abstract:

    Objective To explore the attributes of medication administration errors, to mine the significant association rules between the medication administration errors and the factors influencing the occurrence of the errors , and to provide references for prevention of such errors. Methods The relevant information of 136 cases of medication administration errors occurred in 3 tertiary hospitals in Shanghai from January 2016 to October 2020 were collected retrospectively.The association rules between all characteristics were mined and analyzed using the Apriori algorithm. Results The characteristics of medication administration errors were described from 4 aspects of nurse trait, time distribution of events, administration route, type of errors and error elements.Among the 136 cases of medication administration errors, 125 were made by nurses.A total of 706 strong association rules were found, and 12 association rules with clinical significance between errors and factors were finally extracted.The rule 1 to 3 revealed the attribute of not using PDA while administering drugs, rule 4 to 8 disclosed the attribute of not following standard medication administration process, rule 9 to 12 exposed negligence associated attribute. Conclusion The association rules between such factors as nurses′ length of service, professional titles, education levels, time distribution of events, departments, administration route and the 3 attributes of events(not using PDA while administering drugs, not following standard medication administration process, and negligence) could guide clinical nurses to identify the risk factors of medication administration errors.Clinical managers and nurses are recommended to seek such measures, as strengthening the concept of correct drug use, ramping up training for nurses at all levels, pushing forward timely human resource allocation, improving information construction, etc., in an effort to prevent the occurrence of medication administration errors.

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李曙光,赵敏,张秀英,赵琦,蒋红.关联规则法用于护士给药错误的数据挖掘分析[J].护理学杂志,2021,36(13):104-107

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  • 收稿日期:2021-02-01
  • 最后修改日期:2021-04-14
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  • 在线发布日期: 2022-12-13