Infection Control Strategies for MDRO Based on Failure Mode and Effects Analysis: An Empirical Study on Postoperative Infections in Cancer Patients

Author:

Wu Chunlin1,Tian Qingqing1,Wang Hui1,Yang Weiwei1,Liu Anran1,Tang Jiayang1,Nie Xiaoyan1,Pu Ruiying1,Huang Qin1

Affiliation:

1. Sichuan Cancer Hospital

Abstract

Abstract Objective This study aims to comprehensively and systematically evaluate the effectiveness of infection prevention and control for multidrug-resistant organisms (MDROs) in postoperative cancer patients using Failure Mode and Effects Analysis (FMEA). Method This study was conducted in a tertiary A-level cancer specialty hospital in China, employing Failure Mode and Effects Analysis (FMEA) to assess the risks of hospital infections. Intervention measures were implemented for high-risk and medium-high-risk factors. Through the hospital's infection information system, data on patients who underwent surgical treatment from 2017 to 2022 were extracted. Data from 2017 to 2019 served as the control group, and data from 2020 to 2022 as the intervention group, to compare the changes in hospital infection incidence and MDRO infection incidence before and after the intervention. Results Prior to the intervention (2017–2019), the incidence rate of hospital infections was 1.66%, which decreased to 1.22% after the intervention (2020–2022), showing a statistically significant difference (ꭓ2 = 48.83, P < 0.001). The incidence rate of MDRO infections also decreased from 1.808‰ before the intervention to 1.136‰ after the intervention, with a statistically significant difference (ꭓ2 = 11.417, P = 0.001). Conclusion This study confirms the effectiveness of the FMEA method in preventing and controlling MDRO infections in postoperative cancer patients. It highlights the practicality and value of widespread adoption of this method, particularly in the context of the COVID-19 pandemic.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3