The University of Southampton
University of Southampton Institutional Repository

Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records—REDUCE Trial study original protocol

Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records—REDUCE Trial study original protocol
Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records—REDUCE Trial study original protocol
Introduction Respiratory tract infections (RTIs) account for about 60% of antibiotics prescribed in primary care. This study aims to test the effectiveness, in a cluster randomised controlled trial, of electronically delivered, multicomponent interventions to reduce unnecessary antibiotic prescribing when patients consult for RTIs in primary care. The research will specifically evaluate the effectiveness of feeding back electronic health records (EHRs) data to general practices.

Methods and analysis 2-arm cluster randomised trial using the EHRs of the Clinical Practice Research Datalink (CPRD). General practices in England, Scotland, Wales and Northern Ireland are being recruited and the general population of all ages represents the target population. Control trial arm practices will continue with usual care. Practices in the intervention arm will receive complex multicomponent interventions, delivered remotely to information systems, including (1) feedback of each practice's antibiotic prescribing through monthly antibiotic prescribing reports estimated from CPRD data; (2) delivery of educational and decision support tools; (3) a webinar to explain and promote effective usage of the intervention. The intervention will continue for 12?months. Outcomes will be evaluated from CPRD EHRs. The primary outcome will be the number of antibiotic prescriptions for RTIs per 1000 patient years. Secondary outcomes will be: the RTI consultation rate; the proportion of consultations for RTI with an antibiotic prescribed; subgroups of age; different categories of RTI and quartiles of intervention usage. There will be more than 80% power to detect an absolute reduction in antibiotic prescription for RTI of 12 per 1000 registered patient years. Total healthcare usage will be estimated from CPRD data and compared between trial arms.


Ethics and dissemination Trial protocol was approved by the National Research Ethics Service Committee (14/LO/1730). The pragmatic design of the trial will enable subsequent translation of effective interventions at scale in order to achieve population impact.
e010892
Juszczyk, Dorota
c9c7c039-5bae-4c5f-8df7-75f30e7a9c53
Charlton, Judith
27682a6d-c126-45fb-a8a1-dbde57ccb4e9
McDermott, Lisa
10aa4fe3-7260-4080-8f8b-7c14b3ca409e
Soames, Jamie
7e6dccf8-a923-4161-a2b6-b1fdd2c7e85c
Sultana, Kirin
1d88fbae-5f1a-4fbd-82d8-3973262ea671
Ashworth, Mark
51302b16-d1e8-4221-a192-04aebdd16f77
Fox, Robin
df22d09d-ede6-42c8-99d7-563a14173c0c
Hay, Alastair D.
bfae9e44-ae9b-473c-923f-1dea50747023
Little, Paul
1bf2d1f7-200c-47a5-ab16-fe5a8756a777
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Yardley, Lucy
64be42c4-511d-484d-abaa-f8813452a22e
Prevost, A. Toby
5fd7066c-e170-46f6-8d3e-501532dc7810
Gulliford, Martin C.
5c557aa2-db12-43a2-8778-eac74cf42138
Juszczyk, Dorota
c9c7c039-5bae-4c5f-8df7-75f30e7a9c53
Charlton, Judith
27682a6d-c126-45fb-a8a1-dbde57ccb4e9
McDermott, Lisa
10aa4fe3-7260-4080-8f8b-7c14b3ca409e
Soames, Jamie
7e6dccf8-a923-4161-a2b6-b1fdd2c7e85c
Sultana, Kirin
1d88fbae-5f1a-4fbd-82d8-3973262ea671
Ashworth, Mark
51302b16-d1e8-4221-a192-04aebdd16f77
Fox, Robin
df22d09d-ede6-42c8-99d7-563a14173c0c
Hay, Alastair D.
bfae9e44-ae9b-473c-923f-1dea50747023
Little, Paul
1bf2d1f7-200c-47a5-ab16-fe5a8756a777
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Yardley, Lucy
64be42c4-511d-484d-abaa-f8813452a22e
Prevost, A. Toby
5fd7066c-e170-46f6-8d3e-501532dc7810
Gulliford, Martin C.
5c557aa2-db12-43a2-8778-eac74cf42138

Juszczyk, Dorota, Charlton, Judith, McDermott, Lisa, Soames, Jamie, Sultana, Kirin, Ashworth, Mark, Fox, Robin, Hay, Alastair D., Little, Paul, Moore, Michael, Yardley, Lucy, Prevost, A. Toby and Gulliford, Martin C. (2016) Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records—REDUCE Trial study original protocol. BMJ Open, 6 (8), e010892. (doi:10.1136/bmjopen-2015-010892).

Record type: Article

Abstract

Introduction Respiratory tract infections (RTIs) account for about 60% of antibiotics prescribed in primary care. This study aims to test the effectiveness, in a cluster randomised controlled trial, of electronically delivered, multicomponent interventions to reduce unnecessary antibiotic prescribing when patients consult for RTIs in primary care. The research will specifically evaluate the effectiveness of feeding back electronic health records (EHRs) data to general practices.

Methods and analysis 2-arm cluster randomised trial using the EHRs of the Clinical Practice Research Datalink (CPRD). General practices in England, Scotland, Wales and Northern Ireland are being recruited and the general population of all ages represents the target population. Control trial arm practices will continue with usual care. Practices in the intervention arm will receive complex multicomponent interventions, delivered remotely to information systems, including (1) feedback of each practice's antibiotic prescribing through monthly antibiotic prescribing reports estimated from CPRD data; (2) delivery of educational and decision support tools; (3) a webinar to explain and promote effective usage of the intervention. The intervention will continue for 12?months. Outcomes will be evaluated from CPRD EHRs. The primary outcome will be the number of antibiotic prescriptions for RTIs per 1000 patient years. Secondary outcomes will be: the RTI consultation rate; the proportion of consultations for RTI with an antibiotic prescribed; subgroups of age; different categories of RTI and quartiles of intervention usage. There will be more than 80% power to detect an absolute reduction in antibiotic prescription for RTI of 12 per 1000 registered patient years. Total healthcare usage will be estimated from CPRD data and compared between trial arms.


Ethics and dissemination Trial protocol was approved by the National Research Ethics Service Committee (14/LO/1730). The pragmatic design of the trial will enable subsequent translation of effective interventions at scale in order to achieve population impact.

Text
REDUCETrialProtocolPaper_FINAL_PUBLISHED_NO_COPYRIGHT.pdf - Author's Original
Download (400kB)

More information

Accepted/In Press date: 14 June 2016
e-pub ahead of print date: 4 August 2016
Organisations: Primary Care & Population Sciences

Identifiers

Local EPrints ID: 399230
URI: http://eprints.soton.ac.uk/id/eprint/399230
PURE UUID: 4e0542b2-8b52-4549-8239-043987c6f322
ORCID for Michael Moore: ORCID iD orcid.org/0000-0002-5127-4509
ORCID for Lucy Yardley: ORCID iD orcid.org/0000-0002-3853-883X

Catalogue record

Date deposited: 10 Aug 2016 10:57
Last modified: 15 Mar 2024 03:22

Export record

Altmetrics

Contributors

Author: Dorota Juszczyk
Author: Judith Charlton
Author: Lisa McDermott
Author: Jamie Soames
Author: Kirin Sultana
Author: Mark Ashworth
Author: Robin Fox
Author: Alastair D. Hay
Author: Paul Little
Author: Michael Moore ORCID iD
Author: Lucy Yardley ORCID iD
Author: A. Toby Prevost
Author: Martin C. Gulliford

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×