Evidence map›Paper›PMID 42876734›Full record

ArticleFrontiers in public health2026

Survey of public health education combined with intelligent prescription intervention system on antibiotic use in the county-level hospitals.

Xiaoyan Xie, Lei Yang, Xiaohui Yue, Ailing Ding, Jingjing Zhong

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaoyan XieDepartment of Pharmacy, The People's Hospital of Jianyang City, Jianyang, China.
Lei YangDepartment of Pharmacy, The People's Hospital of Jianyang City, Jianyang, China.
Xiaohui YueDepartment of Pharmacy, The People's Hospital of Jianyang City, Jianyang, China.
Ailing DingSchool of Software Engineering, Chengdu University of Information Technology, Chengdu, China.
Jingjing ZhongDepartment of Pharmacy, The People's Hospital of Jianyang City, Jianyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluated the combined effectiveness of an antibiotic health literacy intervention and a prescription pre-audit intelligent decision system on antibiotic utilization. Thereby providing a reference basis for conducting antibiotic health literacy intervention activities and promoting rational drug use in similar hospitals. Methods: Evidence-based popular science materials, including handbooks, videos, and lectures, were developed as part of a combined intervention that integrated antibiotic education with a prescription pre-audit intelligent decision system. Variations in irrational antibiotic administration, antibiotic use density, and drug cost ratio were compared between the pre-intervention and post-intervention stages. A retrospective analysis was also conducted to summarize the classification and severity of respiratory ward medication events and the compliance of prescriptions recorded in the system from October to December 2025. Results: Multiple forms of health literacy intervention materials concerning rational antimicrobial administration were designed in this research, covering printed leaflets, WeChat posts, promotional videos and face-to-face training sessions. Educational interventions combining online and offline modes were associated with reductions in departmental antibiotic use density and the proportion of antibiotic expenditure relative to total medication costs. Integrated with the prescription pre-audit intelligent decision system, prescription-related risks derived from irrational medication orders were stratified into distinct severity grades in light of clinical realities of the ward. From October to December 2025, the counts of prescriptions with defects in treatment indications, dosing schedules, delivery routes and contraindication violations all declined relative to the baseline period of October to December 2024. Conclusion: This study observed that the multifaceted intervention, including interactive antimicrobial stewardship training for frontline clinicians and nurses, real-time patient-centered health education, and the prescription pre-audit intelligent decision system, has considerable potential to cut antimicrobial consumption. Upgrading health literacy intervention by integrating big data, artificial intelligence and other technologies and extending such comprehensive strategies to the entire hospital represents a promising approach for future implementation.

Indexed as

Anti-Bacterial AgentsHealth EducationHealth LiteracyPublic HealthHumansRetrospective StudiesSurveys and QuestionnairesAnti-Bacterial Agentsantibioticshealth literacy interventionprescriptionprescription pre-audit intelligent decision systemrational drug use

Identifiers

PMID42876734
PMCPMC13661982

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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.