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基于流行特征与专家调研构建手术相关感染暴发调查表单

曹煜隆 高燕 单娇 王斌 王琰 王艳槟 怀伟 包小源 金梦 匡季秋

中国全科医学2026,Vol.29Issue(13):1776-1783,8.
中国全科医学2026,Vol.29Issue(13):1776-1783,8.DOI:10.12114/j.issn.1007-9572.2023.0630

基于流行特征与专家调研构建手术相关感染暴发调查表单

Construction of an Investigation Form for Postoperative Infection Outbreak Based on Epidemiological Characteristics and Specialist Research

曹煜隆 1高燕 1单娇 2王斌 3王琰 4王艳槟 5怀伟 6包小源 7金梦 7匡季秋1

作者信息

  • 1. 100044 北京市,北京大学人民医院感染管理-疾病预防控制处
  • 2. 100035 北京市,首都医科大学附属北京积水潭医院医院感染管理处
  • 3. 100044 北京市,北京大学人民医院神经外科
  • 4. 100044 北京市,北京大学人民医院肾内科
  • 5. 100044 北京市,北京大学人民医院妇产科
  • 6. 100191 北京市,北京大学第三医院急诊科
  • 7. 100191 北京市,北京大学临床医学高等研究院医学信息学中心
  • 折叠

摘要

Abstract

Background Postoperative infection outbreak(PIO)is a concentrated manifestation of the harmfulness of hospital-acquired infections,and how to effectively control the occurrence of PIO promptly is currently the focus of infection control.At present,some infection prevention personnel lack emergency response experience and ability to investigate suspected sources of infection in the face of infection clusters.Objective To develop an investigation form for PIO,and identify the sources of infection in the early stage to prevent outbreaks.Methods From January to May 2023,Worldwide Database for Nosocomial Outbreaks(WDNO),PubMed,CNKI,and other databases were searched for studies related to PIO.Data extraction and annotation were performed.After cleaning the title and abstract text information of infection control literature downloaded from the PubMed database,a large-scale training set was constructed to build a word vector model based on the Skip-Gram method.Preliminary identification of risk factors for PIO was summarized based on the classification results of the word vector model constructed.Subsequently,15 consulting experts were invited to evaluate the importance of PIO risk factors using a modified Delphi method.The Analytic Hierarchy Process(AHP)was adopted to calculate weight and combined weight for the primary and secondary indicators to determine the possible sources of infection outbreaks.Based on this,an investigation form for PIO was constructed.Results A total of 203 PIO-related studies were finally included.A total of 15 experts were consulted by the modified Delphi method,and all the questionnaires for the two rounds of expert consultation were returned with a positive coefficient of 100.00%.The average authoritative coefficient(Cr)of 15 experts was(0.86±0.10),the average familiarity(Cs)was(0.81±0.10),and the average judgment(Ca)was(0.92±0.10).Kendall's W coefficient(Kendall's W)of concordance after two rounds of expert consultation was 0.351(P<0.005),which showed that the consensus of expert opinion was good,indicating a good consensus among expert opinions.After two rounds of the modified Delphi method,4 primary indicators and 19 secondary indicators were constructed.Within the indicator system,the weights of the 7 primary indicators ranged from 22.23%to 27.50%,and the combined weights of the secondary indicators ranged from 3.32%to 6.29%.Based on this,the PIO investigation questionnaire was developed,primarily including five aspects of patient basic information,infection status,perioperative factors,personnel,and environment.Conclusion Based on epidemiological characteristics and expert consultation,a form used for PIO investigation was constructed.The content covers the main risk factors and critical points that may lead to outbreaks,providing a reference for identifying potential sources of PIO.

关键词

围手术期医学/术后感染暴发/调查表单/感染来源/德尔菲技术

Key words

Perioperative medicine/Postoperative infection outbreak/Investigation form/Source of infection/Delphi technique

分类

医药卫生

引用本文复制引用

曹煜隆,高燕,单娇,王斌,王琰,王艳槟,怀伟,包小源,金梦,匡季秋..基于流行特征与专家调研构建手术相关感染暴发调查表单[J].中国全科医学,2026,29(13):1776-1783,8.

基金项目

国家卫生健康委医院管理研究所医疗人工智能临床应用研究项目(YLXX24AID001) (YLXX24AID001)

北京高层次创新创业人才支持计划春蕾项目(G202533208) (G202533208)

北京大学人民医院研究与发展基金管理研究项目(RDM2023-05) (RDM2023-05)

中国全科医学

1007-9572

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