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一项由医院感染管理部门主导的干预措施,采用FOCUS-PDCA模型提高抗菌治疗前病原体送检率。

A Hospital Infection Management Department-Led Intervention to Improve the Pathogen Submission Rate Before Antimicrobial Therapy Using a FOCUS-PDCA Model.

作者信息

Xu Lizhen, Tang Qiufang, Guo Yuxiang, Liu Dan

机构信息

Department of Hospital Infection Management, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, People's Republic of China.

出版信息

Infect Drug Resist. 2025 Sep 20;18:5043-5055. doi: 10.2147/IDR.S547418. eCollection 2025.

Abstract

BACKGROUND

Antimicrobial resistance (AMR) is a growing global public health threat, which is primarily driven by the irrational use of antibiotics. Enhancing the pathogen submission rate before antimicrobial therapy is crucial for effective antimicrobial management in healthcare institutions. This study aimed to improve this rate using the FOCUS-PDCA (Find, Orgnize, Clarify, Understand, Select, Plan, Do, Check, Act) model in a tertiary hospital.

METHODS

The present study was conducted from 2021 to 2024, applying the FOCUS-PDCA model. Led by the Hospital Infection Management Department, a multi-disciplinary collaboration team was set up, with indicators and problems as the guide. The interventions included improving information monitoring technology, optimizing specimen collection and delivery processes, strengthening regulatory efforts, and establishing a diversified training system. Data were collected from 56 clinical departments and compared before and after intervention.

RESULTS

The pathogen submission rate before antimicrobial therapy was notably increased from 64.99% in 2021 to 76.40% in 2024 ( < 0.001), with a similar increase in the targeted pathogen submission rate from 55.51% to 69.48% ( < 0.001). The pathogen submission rate related to hospital-acquired infections (HAIs) and the pathogen submission rate before the combined use of key antibiotics were also improved. Specimen quality was enhanced, with the proportion of sterile specimens increasing from 38.07% to 43.24% ( < 0.001). Detection rates of multidrug- resistant organisms (MDRO) were decreased overall, with notable declines in MRSA, CRPA, and CRKP.

CONCLUSION

The FOCUS-PDCA model effectively improved pathogen submission rates and specimen quality, reduced the detection rate of MDRO, and promoted rational antimicrobial use. This approach provides valuable experience for other clinical institutions aiming to enhance antimicrobial stewardship.

摘要

背景

抗菌药物耐药性(AMR)是全球日益严重的公共卫生威胁,主要由抗生素的不合理使用驱动。提高抗菌治疗前的病原体送检率对于医疗机构有效的抗菌管理至关重要。本研究旨在使用FOCUS-PDCA(发现、组织、澄清、理解、选择、计划、执行、检查、行动)模型在一家三级医院提高该比率。

方法

本研究于2021年至2024年进行,应用FOCUS-PDCA模型。在医院感染管理部门的领导下,成立了一个多学科协作团队,以指标和问题为导向。干预措施包括改进信息监测技术、优化标本采集和送检流程、加强监管力度以及建立多元化培训体系。从56个临床科室收集数据,并在干预前后进行比较。

结果

抗菌治疗前的病原体送检率从2021年的64.99%显著提高到2024年的76.40%(<0.001),目标病原体送检率也有类似提高,从55.51%提高到69.48%(<0.001)。与医院获得性感染(HAIs)相关的病原体送检率以及关键抗生素联合使用前的病原体送检率也有所提高。标本质量得到改善,无菌标本比例从38.07%增加到43.24%(<0.001)。多重耐药菌(MDRO)的检出率总体下降,耐甲氧西林金黄色葡萄球菌(MRSA)、耐碳青霉烯类肺炎克雷伯菌(CRPA)和耐碳青霉烯类肺炎克雷伯菌(CRKP)显著下降。

结论

FOCUS-PDCA模型有效提高了病原体送检率和标本质量,降低了MDRO的检出率,并促进了抗菌药物的合理使用。该方法为其他旨在加强抗菌药物管理的临床机构提供了宝贵经验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d8b/12459385/5c140ad4900b/IDR-18-5043-g0001.jpg

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