Evidence map›Paper›PMID 41000264›Full record

ArticleInfection and drug resistance2025

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

Lizhen Xu, Qiufang Tang, Yuxiang Guo, Dan Liu

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lizhen XuDepartment of Hospital Infection Management, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, People's Republic of China.
Qiufang TangDepartment of Hospital Infection Management, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, People's Republic of China.
Yuxiang GuoDepartment of Hospital Infection Management, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, People's Republic of China.
Dan LiuDepartment of Hospital Infection Management, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ( 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.

Indexed as

antimicrobial stewardshipdetection rateinformation technologypathogen submissionplan-do-check-act

Identifiers

PMID41000264
PMCPMC12459385

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.