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Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan

BACKGROUND: Antibiotic treatment for dengue is likely considerable and potentially avoidable but has not been well characterized. This study aimed to assess antibiotic prescribing for confirmed dengue cases in outpatient and inpatient settings and to identify associated patient, physician and contex...

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Autores principales: Lien, Chia-En, Chou, Yiing-Jenq, Shen, Yi-Jung, Tsai, Theodore, Huang, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884547/
https://www.ncbi.nlm.nih.gov/pubmed/35226674
http://dx.doi.org/10.1371/journal.pntd.0010198
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author Lien, Chia-En
Chou, Yiing-Jenq
Shen, Yi-Jung
Tsai, Theodore
Huang, Nicole
author_facet Lien, Chia-En
Chou, Yiing-Jenq
Shen, Yi-Jung
Tsai, Theodore
Huang, Nicole
author_sort Lien, Chia-En
collection PubMed
description BACKGROUND: Antibiotic treatment for dengue is likely considerable and potentially avoidable but has not been well characterized. This study aimed to assess antibiotic prescribing for confirmed dengue cases in outpatient and inpatient settings and to identify associated patient, physician and contextual factors. METHODS: 57,301 adult dengue cases reported in Taiwan between 2008–2015 were analyzed. We assessed both outpatient and inpatient claims data of dengue patients from a week before to a week after their dengue infections were confirmed under Taiwan’s National Health Insurance program. A multivariable logistic regression with generalized estimating equations was used to estimate the probability of antibiotic prescribing in dengue patients. RESULTS: Overall, 24.6% of dengue patients were prescribed an antibiotic during the 14 day-assessment period. Antibiotics were prescribed in 6.1% and 30.1% of outpatient visits and inpatient admissions, respectively. Antibiotic prescriptions were reduced by ~50% in epidemic years. Among inpatients, advanced age, females, and major comorbidities were risk factors for receipt of an antibiotic; antibiotics were used in 26.0% of inpatients after dengue was diagnosed. Significant differences in antibiotic prescribing practices were observed among physicians in outpatient settings but not in inpatient settings. CONCLUSIONS: In addition to patient and physician demographic characteristics, contextual factors such as care setting and during epidemics significantly influenced prescription of antibiotics. Characterization of prescribing patterns should help direct programs to curb antibiotic prescribing.
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spelling pubmed-88845472022-03-01 Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan Lien, Chia-En Chou, Yiing-Jenq Shen, Yi-Jung Tsai, Theodore Huang, Nicole PLoS Negl Trop Dis Research Article BACKGROUND: Antibiotic treatment for dengue is likely considerable and potentially avoidable but has not been well characterized. This study aimed to assess antibiotic prescribing for confirmed dengue cases in outpatient and inpatient settings and to identify associated patient, physician and contextual factors. METHODS: 57,301 adult dengue cases reported in Taiwan between 2008–2015 were analyzed. We assessed both outpatient and inpatient claims data of dengue patients from a week before to a week after their dengue infections were confirmed under Taiwan’s National Health Insurance program. A multivariable logistic regression with generalized estimating equations was used to estimate the probability of antibiotic prescribing in dengue patients. RESULTS: Overall, 24.6% of dengue patients were prescribed an antibiotic during the 14 day-assessment period. Antibiotics were prescribed in 6.1% and 30.1% of outpatient visits and inpatient admissions, respectively. Antibiotic prescriptions were reduced by ~50% in epidemic years. Among inpatients, advanced age, females, and major comorbidities were risk factors for receipt of an antibiotic; antibiotics were used in 26.0% of inpatients after dengue was diagnosed. Significant differences in antibiotic prescribing practices were observed among physicians in outpatient settings but not in inpatient settings. CONCLUSIONS: In addition to patient and physician demographic characteristics, contextual factors such as care setting and during epidemics significantly influenced prescription of antibiotics. Characterization of prescribing patterns should help direct programs to curb antibiotic prescribing. Public Library of Science 2022-02-28 /pmc/articles/PMC8884547/ /pubmed/35226674 http://dx.doi.org/10.1371/journal.pntd.0010198 Text en © 2022 Lien et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lien, Chia-En
Chou, Yiing-Jenq
Shen, Yi-Jung
Tsai, Theodore
Huang, Nicole
Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title_full Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title_fullStr Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title_full_unstemmed Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title_short Population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in Taiwan
title_sort population-based assessment of factors influencing antibiotic prescribing for adults with dengue infection in taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884547/
https://www.ncbi.nlm.nih.gov/pubmed/35226674
http://dx.doi.org/10.1371/journal.pntd.0010198
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