山东省近五年呼吸机及其相关不良事件的挖掘评价研究  

Research on Mining Evaluation of Ventilators and Related Adverse Events in Shandong Province in Recent Five Years

作　　者：马继鹏[1] 赵玉娟[2] 周朋超 宗冉 蒋歆昶[1] MA Jipeng;ZHAO Yujuan;ZHOU Pengchao;ZONG Ran;JIANG Xinchang(Department of Medical Equipment,Affiliated Hospital of Jining Medical University,Jining Shandong 272000,China;The Adverse Drug Reaction Monitoring Center of Shandong Province,Jinan Shandong 250013,China;The Food and Drug Inspection and Testing Research Institute of Jining,Jining Shandong 272004,China)

机构地区：[1]济宁医学院附属医院医学装备处,山东济宁272000 [2]山东省药品不良反应监测中心,山东济南250013 [3]济宁市食品药品检验检测研究院,山东济宁272004

出　　处：《中国医疗设备》2024年第11期87-92,共6页China Medical Devices

基　　金：2023年山东省医疗器械不良事件监测哨点研究课题(2023SDADRKY10);2023年新形势下山东省公立医院高质量发展面临的主要问题及策略研究(YGY2023095)。

摘　　要：目的确定导致呼吸机及其相关不良事件的因素及其影响权重。方法在山东省不良事件监测中心提供的2018年12月至2023年12月的呼吸机及其相关不良事件数据的基础上,采用德尔菲法确定导致呼吸机及其相关不良事件的因素,再通过层次分析法计算出不同因素指标的权重。结果得出导致呼吸机及其相关不良事件的各级因素及权重值表,包括4个一级指标、19个二级指标和33个三级指标。除使用时间外,导致呼吸机及其相关不良事件的重要因素为产品质量(一级指标)、流量传感器故障(二级指标)、潮气量报警(三级指标);并在横向、纵向上分析了各级因素,提出了对应的改进方案;另外,在流量传感器的精准性、性价比、功能性、稳定性上进行了对比,分析了流量传感器造成不良事件的原因并提出改进措施。结论通过对导致呼吸机及其相关不良事件的因素权重的定量分析研究,确定了在考虑发生率、对患者影响程度、故障解除及时性、处理费用的情况下不良事件各种导致因素的权重值,为呼吸机不良事件的挖掘提供一定的技术评价标准,为呼吸机厂家对各自产品的技术改进及医院呼吸机的维护提供指导依据,医院以此采取针对措施可降低呼吸机不良事件的发生率,提高临床服务质量。Objective To determine the factors leading to ventilators and related adverse events and their influence weights.Methods Based on the data of ventilators and related adverse events provided by Shandong Adverse Event Monitoring Center from December 2018 to December 2023,the factors leading to ventilators and related adverse events were determined using Delphi method,and then the weights of different factor indicators were calculated through the analytic hierarchy process.Results The factors and weight tables leading to ventilator and related adverse events were obtained,including 4 primary indexes,19 secondary indexes and 33 tertiary indexes.In addition to use time,the important factors leading to ventilator and related adverse events were product quality(primary index),flow sensor failure(secondary index),tidal volume alarm(tertiary index).The factors at all levels were analyzed horizontally and vertically,and the corresponding improvement plan was put forward.Besides,the accuracy,cost performance,functionality and stability of theflow sensor were compared,and the causes of adverse events caused by theflow sensor were analyzed and the improvement measures were proposed.Conclusion Through quantitative analysis and research on the weight of factors leading to the ventilator and related adverse events,the weight values of various factors leading to adverse events are determined when considering the incidence rate,influence degree to patients,timeliness of failure relief and treatment cost,which provides certain technical evaluation standards for the mining of adverse events of ventilator.It provides guidance basis for ventilator manufacturers to improve the technology of their products and the maintenance of ventilators in hospitals,so that hospitals can take specific measures to reduce the incidence of adverse events of ventilators and improve the quality of clinical services.

关 键 词：呼吸机 不良事件 影响因素 指标体系 流量传感器 德尔菲法 层次分析法 

分 类 号：R197.39[医药卫生—卫生事业管理]