{"title":"Prescribing antibiotics for children with dengue infection in Taiwan: who are at risk and who are high prescribers?","authors":"Yi-Jung Shen, Chia-En Lien, Yiing-Jenq Chou, Theodore Tsai, Nicole Huang","doi":"10.1093/intqhc/mzae052","DOIUrl":null,"url":null,"abstract":"<p><p>Inappropriate antibiotic use contributes to antimicrobial resistance, a global public health threat. The non-specific manifestations of dengue, itself a growing public health threat, lead to avoidable empiric antibiotic prescription, particularly in children. In this national pooled population-based cross-sectional study, we evaluated child and physician characteristics associated with antibiotics prescription in confirmed dengue cases in Taiwan. Linking national health care insurance claims and reports of confirmed dengue cases from 2008 to 2015, there were 7086 children with confirmed dengue with 21 744 outpatient visits and 2520 inpatient admissions. We assessed the presence of antibiotic prescription in outpatient and inpatient settings separately a week before or after the confirmation date. Logistic regression models with generalized estimating equations were applied to identify patient, practitioner, and other factors associated with antibiotic prescription. A total of 29.4% of children <18 years old with dengue who did not have a concomitant bacterial infection were prescribed antibiotics during the 14-day assessment period. Antibiotics prescription was reduced from 13.5% to 6.3% and from 43.2% to 19.3% in outpatient and inpatient settings, respectively, after dengue was confirmed. Young children were more likely to receive antibiotics. Significant variations in antibiotic prescribing across physicians were observed only in outpatient settings: physicians ≥60 years old and physicians practicing at clinics and in non-urban facilities were more likely to prescribe antibiotics. Antibiotics were less likely to be prescribed during an exceptional 2-year epidemic than in other years. Antibiotic prescribing for dengue, an arboviral infection affecting half of the global population, was shown to occur in 29% of paediatric cases in Taiwan. That potentially avoidable antibiotic consumption could be reduced by improving antibiotic stewardship, informed by understanding the conditions under which antibiotics are prescribed and the availability of prevention strategies for viral diseases, including dengue. We identified a number of such factors in this national population-based study.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11197962/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Quality in Health Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/intqhc/mzae052","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Inappropriate antibiotic use contributes to antimicrobial resistance, a global public health threat. The non-specific manifestations of dengue, itself a growing public health threat, lead to avoidable empiric antibiotic prescription, particularly in children. In this national pooled population-based cross-sectional study, we evaluated child and physician characteristics associated with antibiotics prescription in confirmed dengue cases in Taiwan. Linking national health care insurance claims and reports of confirmed dengue cases from 2008 to 2015, there were 7086 children with confirmed dengue with 21 744 outpatient visits and 2520 inpatient admissions. We assessed the presence of antibiotic prescription in outpatient and inpatient settings separately a week before or after the confirmation date. Logistic regression models with generalized estimating equations were applied to identify patient, practitioner, and other factors associated with antibiotic prescription. A total of 29.4% of children <18 years old with dengue who did not have a concomitant bacterial infection were prescribed antibiotics during the 14-day assessment period. Antibiotics prescription was reduced from 13.5% to 6.3% and from 43.2% to 19.3% in outpatient and inpatient settings, respectively, after dengue was confirmed. Young children were more likely to receive antibiotics. Significant variations in antibiotic prescribing across physicians were observed only in outpatient settings: physicians ≥60 years old and physicians practicing at clinics and in non-urban facilities were more likely to prescribe antibiotics. Antibiotics were less likely to be prescribed during an exceptional 2-year epidemic than in other years. Antibiotic prescribing for dengue, an arboviral infection affecting half of the global population, was shown to occur in 29% of paediatric cases in Taiwan. That potentially avoidable antibiotic consumption could be reduced by improving antibiotic stewardship, informed by understanding the conditions under which antibiotics are prescribed and the availability of prevention strategies for viral diseases, including dengue. We identified a number of such factors in this national population-based study.
期刊介绍:
The International Journal for Quality in Health Care makes activities and research related to quality and safety in health care available to a worldwide readership. The Journal publishes papers in all disciplines related to the quality and safety of health care, including health services research, health care evaluation, technology assessment, health economics, utilization review, cost containment, and nursing care research, as well as clinical research related to quality of care.
This peer-reviewed journal is truly interdisciplinary and includes contributions from representatives of all health professions such as doctors, nurses, quality assurance professionals, managers, politicians, social workers, and therapists, as well as researchers from health-related backgrounds.