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

Wenjuan Cong, Jing Chai, Linhai Zhao, Christie Cabral, Lucy Yardley, Guiqing Lily Yao, Tingting Zhang, Jing Cheng, Xing Rong Shen, Rong Liu, Paul Little, Beth Stuart, Xiaowen Hu, Ye Huan Sun, Isabel Oliver, Bo Zheng, Helen Lambert, De Bin Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
16 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article numbere048267
JournalBMJ Open
Volume12
Issue number1
DOIs
Publication statusPublished - 3 Jan 2022

Bibliographical note

Funding Information: The authors acknowledge MRC and Newton Fund through a UK-China AMR Partnership Hub award (MR/S013717/1), and National Natural Science Foundation of China award (81861138049).

Open Access: 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/.

Publisher Copyright: © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.

Citation: Cong W, Chai J, Zhao L, et al. Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol. BMJ Open 2022;12:e048267.

DOI: 10.1136/bmjopen-2020-048267

Keywords

  • General medicine (see internal medicine)
  • Primary care
  • Respiratory infections

Fingerprint

Dive into the research topics of 'Cluster randomised controlled trial to assess a tailored intervention to reduce antibiotic prescribing in rural China: study protocol'. Together they form a unique fingerprint.

Cite this