Evidence map›Paper›PMID 24939316›Full record

ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2014

Is nationwide special campaign on antibiotic stewardship program effective on ameliorating irrational antibiotic use in China? Study on the antibiotic use of specialized hospitals in China in 2011-2012.

Xiao-Xu Zou, Zi Fang, Rui Min, Xue Bai, Yang Zhang, Dong Xu, Peng-Qian Fang

Abstract read
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In one paragraph

Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  11. Effectiveness of Antibiotic Use Management in Tianjin (2011-2013): A Quasi-Experimental Study.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  12. Is there an improvement of antibiotic use in China? Evidence from the usage analysis of combination antibiotic therapy for type I incisions in 244 hospitals.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2016
    Article
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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

7 authors.

Xiao-Xu ZouSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zi FangSchool of Foreign Languages and Literature, Wuhan University, Wuhan, 430072, China.
Rui MinSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xue BaiSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yang ZhangDepartment of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dong XuManagement Research Institute, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Peng-Qian FangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. pfang@mails.tjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With dwindling number of new antibiotics and inappropriate use of antibiotics, the emergence and spread of antibiotics resistance occurs commonly in healthcare institutions worldwide. In China, antibiotics are commonly over prescribed and misused. This study is to assess the effect of the nationwide special campaign on antibiotic stewardship program (ASP) at specialized hospitals in China by investigating prescription information from 2011 to 2012. Data on the hospital consumption and prescription of systemic antibiotics were obtained from four specialized hospitals, including maternity, children's, stomatological and cancer hospitals. Systematic random sampling was used to select outpatient prescriptions and inpatient cases. A total of 105 specialized hospitals in 2011 and 121 specialized hospitals in 2012 were analysed. The defined daily doses (DDDs) per 100 inpatient days, the percentage of antibiotic use in outpatient prescriptions, and the percentage of antibiotic use in inpatient cases were used as measurements of antibiotic use. The overall antibiotic use density in the selected hospitals decreased between 2011 and 2012 from 39.37 to 26.54 DDD/100 inpatient days (P<0.001). The percentage of antibiotic use in outpatient prescriptions (range: 24.12%-18.71%, P=0.109) and inpatient cases (64.85%-60.10%, P=0.006) also decreased within the two years. Significant changes were observed among regions and different hospitals within the two years. And antibiotic consumption was correlated with the type and size of specialized hospital in 2012, but not with the regions. This analysis of antibiotic consumption of specialized hospitals allows relevant comparisons for benchmarking and shows that national ASP has improved antibiotic rational use in China. The data will assist policymakers in formulating effective strategies to decrease antibiotic overuse and identify areas that require further work.

Indexed as

Anti-Bacterial AgentsChinaDrug PrescriptionsDrug UtilizationDrug Utilization ReviewGeographyHospitalsHumansInpatientsOutpatientsAnti-Bacterial Agents

Identifiers

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Registered trials

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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.