Literature DB >> 33515511

Appropriateness of antibiotic prescriptions in ambulatory care in China: a nationwide descriptive database study.

Houyu Zhao1, Li Wei2, Hui Li3, Mei Zhang4, Bin Cao3, Jiaming Bian5, Siyan Zhan6.   

Abstract

BACKGROUND: Inappropriate antibiotic use greatly accelerates antimicrobial resistance. The appropriateness of antibiotic prescriptions is well evaluated, using big observational data, in some high-income countries, whereas the evidence of this appropriateness is scarce in China. We aimed to assess the appropriateness of antibiotic prescriptions in ambulatory care settings in China to inform future antimicrobial stewardship.
METHODS: We used data from the Beijing Data Center for Rational Use of Drugs, which was a national database designed for monitoring rationality of drug use. 139 hospitals that uploaded diagnosis and prescription information were included from 28 provincial-level regions of mainland China. Outpatient prescriptions were classified as appropriate, potentially appropriate, inappropriate, or not linked to any diagnosis for antibiotic use by following a published classification scheme. Antibiotic prescription rates for various diagnosis categories and proportions of inappropriate antibiotic prescriptions for different subgroups were estimated. Antibiotic prescribing patterns and proportions of individual antibiotics prescribed for different diagnosis categories were analysed and reported.
FINDINGS: Between Oct 1, 2014, and April 30, 2018, 18 848 864 (10·9%) of 172 704 117 outpatient visits ended with antibiotic prescriptions. For conditions for which antibiotic use was appropriate, potentially appropriate, and inappropriate, 42·2%, 30·6%, and 7·6% of visits were associated with antibiotic prescriptions, respectively. Of all 18 848 864 antibiotic prescriptions, 9 689 937 (51·4%) were inappropriate, 5 354 224 (28·4%) were potentially appropriate, 2 893 102 (15·3%) were appropriate, and 911 601 (4·8%) could not be linked to any diagnosis. A total of 23 266 494 individual antibiotics were prescribed, of which 18 620 086 (80·0%) were broad-spectrum and the top four most prescribed antibiotics were third-generation cephalosporins (5 056 058 [21·7%]), second-generation cephalosporins (3 823 410 [16·4%]), macrolides (3 554 348 [15·3%]), and fluoroquinolones (3 285 765 [14·1%]).
INTERPRETATION: Inappropriate antibiotic prescribing was highly prevalent nationwide in China. Over half of the antibiotic prescriptions were inappropriate in secondary-level and tertiary-level hospitals, suggesting an urgent need for outpatient antibiotic stewardship aimed at optimising antibiotic prescribing to achieve the goals set in China's 2016 national action plan to contain antimicrobial resistance. FUNDING: The National Natural Science Foundation of China.
Copyright © 2021 Elsevier Ltd. All rights reserved.

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Year:  2021        PMID: 33515511     DOI: 10.1016/S1473-3099(20)30596-X

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  15 in total

Review 1.  Effectiveness of Educational Interventions for Health Workers on Antibiotic Prescribing in Outpatient Settings in China: A Systematic Review and Meta-Analysis.

Authors:  Kunhua Zheng; Ying Xie; Lintao Dan; Meixian Mao; Jie Chen; Ran Li; Xuanding Wang; Therese Hesketh
Journal:  Antibiotics (Basel)       Date:  2022-06-10

Review 2.  Interventions to optimize the use of antibiotics in China: A scoping review of evidence from humans, animals, and the environment from a One Health perspective.

Authors:  Liyan Shen; Xiaolin Wei; Jia Yin; D Rob Haley; Qiang Sun; Cecilia Stålsby Lundborg
Journal:  One Health       Date:  2022-04-06

Review 3.  The General Population's Inappropriate Behaviors and Misunderstanding of Antibiotic Use in China: A Systematic Review and Meta-Analysis.

Authors:  Lixia Duan; Chenxi Liu; Dan Wang
Journal:  Antibiotics (Basel)       Date:  2021-04-26

4.  Impact of the Expert Consensus on Carbapenem Consumption Trends and Patterns in Public Healthcare Institutes: An Interrupted Time Series Analysis, 2017-2020.

Authors:  Dan Ye; Caijun Yang; Wenjing Ji; Jie Zheng; Jingyi Zhang; Runqing Xue; Jianli Gu; Minchun Chen; Kangkang Yan; Yongzhong Liu
Journal:  Front Pharmacol       Date:  2022-01-13       Impact factor: 5.810

Review 5.  Appropriate Use of Ceftriaxone in Sub-Saharan Africa: A Systematic Review.

Authors:  Birhanu Meresa Bishaw; Gobezie T Tegegne; Alemseged Beyene Berha
Journal:  Infect Drug Resist       Date:  2021-08-28       Impact factor: 4.003

6.  Outpatient Antibiotic Prescribing Patterns and Appropriateness for Children in Primary Healthcare Settings in Beijing City, China, 2017-2019.

Authors:  Haishaerjiang Wushouer; Kexin Du; Shicai Chen; Yue Zhou; Bo Zheng; Xiaodong Guan; Luwen Shi
Journal:  Antibiotics (Basel)       Date:  2021-10-14

7.  Prescribing Patterns for Upper Respiratory Tract Infections: A Prescription-Review of Primary Care Practice in Quetta, Pakistan and the Implications.

Authors:  Hania Hashmi; Nazeer Ahmad Sasoli; Abdul Sadiq; Abdul Raziq; Fakhra Batool; Shanaz Raza; Qaiser Iqbal; Sajjad Haider; Syed Umer Jan; Muhammad Alam Mengal; Abdul Malik Tareen; Adnan Khalid; Fahad Saleem
Journal:  Front Public Health       Date:  2021-11-19

8.  Antibiotic Use in China's Public Healthcare Institutions During the COVID-19 Pandemic: An Analysis of Nationwide Procurement Data, 2018-2020.

Authors:  Ying Yang; Xin Geng; Xiaojun Liu; Xiaotong Wen; Ruonan Wu; Dan Cui; Zongfu Mao
Journal:  Front Pharmacol       Date:  2022-02-14       Impact factor: 5.810

9.  Antibiotic Prescriptions among China Ambulatory Care Visits of Pregnant Women: A Nationwide Cross-Sectional Study.

Authors:  Houyu Zhao; Mei Zhang; Jiaming Bian; Siyan Zhan
Journal:  Antibiotics (Basel)       Date:  2021-05-19

10.  The impacts of Chinese drug volume-based procurement policy on the use of policy-related antibiotic drugs in Shenzhen, 2018-2019: an interrupted time-series analysis.

Authors:  Ying Yang; Lei Chen; Xinfeng Ke; Zongfu Mao; Bo Zheng
Journal:  BMC Health Serv Res       Date:  2021-07-08       Impact factor: 2.655

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