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Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022

PURPOSE: To explore the prescription patterns and usage trends of antibiotics within primary care institutions located in underdeveloped regions of China from 2017 to 2022. METHODS: A retrospective analysis of antibiotic prescriptions was conducted from 25 primary care institutions in Guizhou Provin...

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Autores principales: Li, Changlan, Cui, Zhezhe, Wei, Du, Zhang, Quan, Yang, Junli, Wang, Wenju, Luo, Xiaobo, Chang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492579/
https://www.ncbi.nlm.nih.gov/pubmed/37692470
http://dx.doi.org/10.2147/IDR.S425787
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author Li, Changlan
Cui, Zhezhe
Wei, Du
Zhang, Quan
Yang, Junli
Wang, Wenju
Luo, Xiaobo
Chang, Yue
author_facet Li, Changlan
Cui, Zhezhe
Wei, Du
Zhang, Quan
Yang, Junli
Wang, Wenju
Luo, Xiaobo
Chang, Yue
author_sort Li, Changlan
collection PubMed
description PURPOSE: To explore the prescription patterns and usage trends of antibiotics within primary care institutions located in underdeveloped regions of China from 2017 to 2022. METHODS: A retrospective analysis of antibiotic prescriptions was conducted from 25 primary care institutions in Guizhou Province during the period of 2017–2022. Antibiotic prescriptions were categorized into appropriate and inappropriate use. Appropriate use is further categorized into preferred medication, and antibiotics can be used or substituted. Inappropriate use is further categorized into unnecessary use, incorrect spectrum of antibiotics and combined use of antibiotics. Factors associated with inappropriate use were investigated using generalized estimation equations. Holt-Winters and SARIMA models were employed to predict the number of inappropriate antibiotic prescriptions as the alternative model. RESULTS: A total of 941,924 prescriptions were included, revealing a decreasing trend in both the number and inappropriate rates of antibiotic prescriptions from 2017 to 2022. Diseases of the respiratory system (70.66%) was the most frequent target of antibiotic use, with acute upper respiratory infections of multiple and unspecified sites representing 52.04% of these cases. The most commonly used antibiotics were penicillins (64.44%). Among all prescriptions, inappropriate antibiotic prescriptions reached 66.19%. Physicians aged over 35, holding the title of associate chief physician and possessing more than 11 years of experience were more likely to prescribe antibiotics inappropriately. The phenomenon of inappropriate antibiotic use was commoner among children aged five or younger. By comparing model parameters, it was determined that the SARIMA model outperforms the Holt-Winters model in predicting the number of inappropriate antibiotic prescriptions among primary care institutions. CONCLUSION: The number and inappropriate rates of antibiotic prescriptions in southwest China exhibited a downward trend from 2017 to 2022, but inappropriate prescription remains a serious problem in primary care institutions. Therefore, future efforts should focus on strengthening physician education, training, and clinical practice. Additionally, physicians’ awareness of common misconceptions about inappropriate antibiotic use must be improved, and the prescribing behavior of physicians who fulfill patients’ expectations by prescribing antibiotics needs to be modified.
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spelling pubmed-104925792023-09-10 Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022 Li, Changlan Cui, Zhezhe Wei, Du Zhang, Quan Yang, Junli Wang, Wenju Luo, Xiaobo Chang, Yue Infect Drug Resist Original Research PURPOSE: To explore the prescription patterns and usage trends of antibiotics within primary care institutions located in underdeveloped regions of China from 2017 to 2022. METHODS: A retrospective analysis of antibiotic prescriptions was conducted from 25 primary care institutions in Guizhou Province during the period of 2017–2022. Antibiotic prescriptions were categorized into appropriate and inappropriate use. Appropriate use is further categorized into preferred medication, and antibiotics can be used or substituted. Inappropriate use is further categorized into unnecessary use, incorrect spectrum of antibiotics and combined use of antibiotics. Factors associated with inappropriate use were investigated using generalized estimation equations. Holt-Winters and SARIMA models were employed to predict the number of inappropriate antibiotic prescriptions as the alternative model. RESULTS: A total of 941,924 prescriptions were included, revealing a decreasing trend in both the number and inappropriate rates of antibiotic prescriptions from 2017 to 2022. Diseases of the respiratory system (70.66%) was the most frequent target of antibiotic use, with acute upper respiratory infections of multiple and unspecified sites representing 52.04% of these cases. The most commonly used antibiotics were penicillins (64.44%). Among all prescriptions, inappropriate antibiotic prescriptions reached 66.19%. Physicians aged over 35, holding the title of associate chief physician and possessing more than 11 years of experience were more likely to prescribe antibiotics inappropriately. The phenomenon of inappropriate antibiotic use was commoner among children aged five or younger. By comparing model parameters, it was determined that the SARIMA model outperforms the Holt-Winters model in predicting the number of inappropriate antibiotic prescriptions among primary care institutions. CONCLUSION: The number and inappropriate rates of antibiotic prescriptions in southwest China exhibited a downward trend from 2017 to 2022, but inappropriate prescription remains a serious problem in primary care institutions. Therefore, future efforts should focus on strengthening physician education, training, and clinical practice. Additionally, physicians’ awareness of common misconceptions about inappropriate antibiotic use must be improved, and the prescribing behavior of physicians who fulfill patients’ expectations by prescribing antibiotics needs to be modified. Dove 2023-09-05 /pmc/articles/PMC10492579/ /pubmed/37692470 http://dx.doi.org/10.2147/IDR.S425787 Text en © 2023 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Li, Changlan
Cui, Zhezhe
Wei, Du
Zhang, Quan
Yang, Junli
Wang, Wenju
Luo, Xiaobo
Chang, Yue
Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title_full Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title_fullStr Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title_full_unstemmed Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title_short Trends and Patterns of Antibiotic Prescriptions in Primary Care Institutions in Southwest China, 2017–2022
title_sort trends and patterns of antibiotic prescriptions in primary care institutions in southwest china, 2017–2022
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492579/
https://www.ncbi.nlm.nih.gov/pubmed/37692470
http://dx.doi.org/10.2147/IDR.S425787
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