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

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单位: [1]Department of Epidemiology and Biostatistics, School of Public Health Peking University, Beijing, China [2]Center for Intelligent Public Health, Institute for Artificial Intelligence Peking University, Beijing, China [3]Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK [4]Department of Pulmonary and Critical Care Medicine, Center for Respiratory Diseases, China– Japan Friendship Hospital, Beijing, China [5]Department of Pharmacology, 7th Medical Center of Chinese PLA General Hospital, Beijing, China [6]Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China
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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. Summary 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 center dot 9%) of 172 704 117 outpatient visits ended with antibiotic prescriptions. For conditions for which antibiotic use was appropriate, potentially appropriate, and inappropriate, 42 center dot 2%, 30 center dot 6%, and 7 center dot 6% of visits were associated with antibiotic prescriptions, respectively. Of all 18 848 864 antibiotic prescriptions, 9 689 937 (51 center dot 4%) were inappropriate, 5 354 224 (28 center dot 4%) were potentially appropriate, 2 893 102 (15 center dot 3%) were appropriate, and 911 601 (4 center dot 8%) could not be linked to any diagnosis. A total of 23 266 494 individual antibiotics were prescribed, of which 18 620 086 (80 center dot 0%) were broad-spectrum and the top four most prescribed antibiotics were third-generation cephalosporins (5 056 058 [21 center dot 7%]), second-generation cephalosporins (3 823 410 [16 center dot 4%]), macrolides (3 554 348 [15 center dot 3%]), and fluoroquinolones (3 285 765 [14 center dot 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.

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出版当年[2020]版:
大类 | 1 区 医学
小类 | 1 区 传染病学
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 传染病学
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出版当年[2019]版:
Q1 INFECTIOUS DISEASES
最新[2023]版:
Q1 INFECTIOUS DISEASES

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Department of Epidemiology and Biostatistics, School of Public Health Peking University, Beijing, China
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通讯机构: [1]Department of Epidemiology and Biostatistics, School of Public Health Peking University, Beijing, China [2]Center for Intelligent Public Health, Institute for Artificial Intelligence Peking University, Beijing, China [5]Department of Pharmacology, 7th Medical Center of Chinese PLA General Hospital, Beijing, China [6]Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China [*1]Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China [*2]Department of Pharmacology, 7th Medical Center of Chinese PLA General Hospital, Beijing 100700, China
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