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Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol

INTRODUCTION: Up to 80% of patients with respiratory tract infections (RTI) attending healthcare facilities in rural areas of China are prescribed antibiotics, many of which are unnecessary. Since 2009, China has implemented several policies to try to reduce inappropriate antibiotic use; however, an...

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Autores principales: Cong, Wenjuan, Chai, Jing, Zhao, Linhai, Cabral, Christie, Yardley, Lucy, Yao, Guiqing Lily, Zhang, Tingting, Cheng, Jing, Shen, XingRong, Liu, Rong, Little, Paul, Stuart, Beth, Hu, Xiaowen, Sun, Ye-Huan, Oliver, Isabel, Zheng, Bo, Lambert, Helen, Wang, DeBin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724711/
https://www.ncbi.nlm.nih.gov/pubmed/34980608
http://dx.doi.org/10.1136/bmjopen-2020-048267
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author Cong, Wenjuan
Chai, Jing
Zhao, Linhai
Cabral, Christie
Yardley, Lucy
Yao, Guiqing Lily
Zhang, Tingting
Cheng, Jing
Shen, XingRong
Liu, Rong
Little, Paul
Stuart, Beth
Hu, Xiaowen
Sun, Ye-Huan
Oliver, Isabel
Zheng, Bo
Lambert, Helen
Wang, DeBin
author_facet Cong, Wenjuan
Chai, Jing
Zhao, Linhai
Cabral, Christie
Yardley, Lucy
Yao, Guiqing Lily
Zhang, Tingting
Cheng, Jing
Shen, XingRong
Liu, Rong
Little, Paul
Stuart, Beth
Hu, Xiaowen
Sun, Ye-Huan
Oliver, Isabel
Zheng, Bo
Lambert, Helen
Wang, DeBin
author_sort Cong, Wenjuan
collection PubMed
description INTRODUCTION: Up to 80% of patients with respiratory tract infections (RTI) attending healthcare facilities in rural areas of China are prescribed antibiotics, many of which are unnecessary. Since 2009, China has implemented several policies to try to reduce inappropriate antibiotic use; however, antibiotic prescribing remains high in rural health facilities. METHODS AND ANALYSIS: A cluster randomised controlled trial will be carried out to estimate the effectiveness and cost effectiveness of a complex intervention in reducing antibiotic prescribing at township health centres in Anhui Province, China. 40 Township health centres will be randomised at a 1:1 ratio to the intervention or usual care arms. In the intervention group, practitioners will receive an intervention comprising: (1) training to support appropriate antibiotic prescribing for RTI, (2) a computer-based treatment decision support system, (3) virtual peer support, (4) a leaflet for patients and (5) a letter of commitment to optimise antibiotic use to display in their clinic. The primary outcome is the percentage of antibiotics (intravenous and oral) prescribed for RTI patients. Secondary outcomes include patient symptom severity and duration, recovery status, satisfaction, antibiotic consumption. A full economic evaluation will be conducted within the trial period. Costs and savings for both clinics and patients will be considered and quality of life will be measured by EuroQoL (EQ-5D-5L). A qualitative process evaluation will explore practitioner and patient views and experiences of trial processes, intervention fidelity and acceptability, and barriers and facilitators to implementation. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Biomedical Research Ethics Committee of Anhui Medical University (Ref: 20180259); the study has undergone due diligence checks and is registered at the University of Bristol (Ref: 2020-3137). Research findings will be disseminated to stakeholders through conferences and peer-reviewed journals in China, the UK and internationally. TRIAL REGISTRATION NUMBER: ISRCTN30652037.
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spelling pubmed-87247112022-01-18 Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol Cong, Wenjuan Chai, Jing Zhao, Linhai Cabral, Christie Yardley, Lucy Yao, Guiqing Lily Zhang, Tingting Cheng, Jing Shen, XingRong Liu, Rong Little, Paul Stuart, Beth Hu, Xiaowen Sun, Ye-Huan Oliver, Isabel Zheng, Bo Lambert, Helen Wang, DeBin BMJ Open Public Health INTRODUCTION: Up to 80% of patients with respiratory tract infections (RTI) attending healthcare facilities in rural areas of China are prescribed antibiotics, many of which are unnecessary. Since 2009, China has implemented several policies to try to reduce inappropriate antibiotic use; however, antibiotic prescribing remains high in rural health facilities. METHODS AND ANALYSIS: A cluster randomised controlled trial will be carried out to estimate the effectiveness and cost effectiveness of a complex intervention in reducing antibiotic prescribing at township health centres in Anhui Province, China. 40 Township health centres will be randomised at a 1:1 ratio to the intervention or usual care arms. In the intervention group, practitioners will receive an intervention comprising: (1) training to support appropriate antibiotic prescribing for RTI, (2) a computer-based treatment decision support system, (3) virtual peer support, (4) a leaflet for patients and (5) a letter of commitment to optimise antibiotic use to display in their clinic. The primary outcome is the percentage of antibiotics (intravenous and oral) prescribed for RTI patients. Secondary outcomes include patient symptom severity and duration, recovery status, satisfaction, antibiotic consumption. A full economic evaluation will be conducted within the trial period. Costs and savings for both clinics and patients will be considered and quality of life will be measured by EuroQoL (EQ-5D-5L). A qualitative process evaluation will explore practitioner and patient views and experiences of trial processes, intervention fidelity and acceptability, and barriers and facilitators to implementation. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Biomedical Research Ethics Committee of Anhui Medical University (Ref: 20180259); the study has undergone due diligence checks and is registered at the University of Bristol (Ref: 2020-3137). Research findings will be disseminated to stakeholders through conferences and peer-reviewed journals in China, the UK and internationally. TRIAL REGISTRATION NUMBER: ISRCTN30652037. BMJ Publishing Group 2022-01-03 /pmc/articles/PMC8724711/ /pubmed/34980608 http://dx.doi.org/10.1136/bmjopen-2020-048267 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Public Health
Cong, Wenjuan
Chai, Jing
Zhao, Linhai
Cabral, Christie
Yardley, Lucy
Yao, Guiqing Lily
Zhang, Tingting
Cheng, Jing
Shen, XingRong
Liu, Rong
Little, Paul
Stuart, Beth
Hu, Xiaowen
Sun, Ye-Huan
Oliver, Isabel
Zheng, Bo
Lambert, Helen
Wang, DeBin
Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title_full Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title_fullStr Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title_full_unstemmed Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title_short Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol
title_sort cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural china: study protocol
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724711/
https://www.ncbi.nlm.nih.gov/pubmed/34980608
http://dx.doi.org/10.1136/bmjopen-2020-048267
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