The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Delayed antibiotic prescribing for respiratory tract infections: an individual patient data meta-analysis

Delayed antibiotic prescribing for respiratory tract infections: an individual patient data meta-analysis
Delayed antibiotic prescribing for respiratory tract infections: an individual patient data meta-analysis

Introduction: Delayed prescribing can be a useful strategy to reduce antibiotic prescribing, but it is not clear for whom delayed prescribing might be effective. This protocol outlines an individual patient data (IPD) meta-analysis of randomised controlled trials (RCTs) and observational cohort studies to explore the overall effect of delayed prescribing and identify key patient characteristics that are associated with efficacy of delayed prescribing.
Methods and analysis: A systematic search of the databases Cochrane Central Register of Controlled Trials, Ovid MEDLINE, Ovid Embase, EBSCO CINAHL Plus and Web of Science was conducted to identify relevant studies from inception to October 2017. Outcomes of interest include duration of illness, severity of illness, complication, reconsultation and patient satisfaction. Study authors of eligible papers will be contacted and invited to contribute raw IPD data. IPD data will be checked against published data, harmonised and aggregated to create one large IPD database. Multilevel regression will be performed to explore interaction effects between treatment allocation and patient characteristics. The economic evaluation will be conducted based on IPD from the combined trial and observational studies to estimate the differences in costs and effectiveness for delayed prescribing compared with normal practice. A decision model will be developed to assess potential savings and cost-effectiveness in terms of reduced antibiotic usage of delayed prescribing and quality-adjusted life years.
Ethics and dissemination Ethical approval was obtained from the University of Southampton Faculty of Medicine Research Ethics Committee (Reference number: 30068). Findings of this study will be published in peer-reviewed academic journals as well as General Practice trade journals and will be presented at national and international conferences. The results will have important public health implications, shaping the way in which antibiotics are prescribed in the future and to whom delayed prescriptions are issued.
2044-6055
Stuart, Beth
626862fc-892b-4f6d-9cbb-7a8d7172b209
Hounkpatin, Hilda
5612e5b4-6286-48c8-b81f-e96d1148681d
Becque, Taeko
ecd1b4d5-4db8-4442-81c2-04aa291cf2fd
Yao, Lily
7b003c8c-4478-479e-9071-418ea4c503fb
Zhu, Shihua
13511f9c-151c-483c-9dfd-2da13421db5c
Alonso-Coello, Pablo
2d29e862-ea00-4134-acd9-6e2269c054e8
Altiner, Attila
c444295b-0fd4-4cd3-98c1-efdfc3b52b64
Arroll, Bruce
a7e2c29e-9340-40c8-bf66-871289e7ff21
Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Bostock, Jennifer
3a741e2f-f94c-4112-bfdc-42216867a40b
Bucher, Heiner C.
e38c2e7f-86af-4ecd-a798-e9510ce9a599
Chao, Jennifer
89d49468-d1e5-4e74-a911-371f929944fe
De La Poza Abad, Mariam
bdf25a4e-90b1-4442-bbf3-0e943ca783a7
Francis, NA
9b610883-605c-4fee-871d-defaa86ccf8e
Gillespie, David
757dc8d5-cae7-49ed-b099-4b44c9b0ce2b
Hay, Alastair
daf3c71f-5e5a-4bee-9bb8-7df67ec2a79f
Kenealy, Timothy
e749549b-5513-4eb0-9789-2f2b0cd82576
Loffler, Christin
87f0ae68-2f1c-451e-965c-a67cbc1d1682
McCormick, David
495459c9-df09-4783-9324-e791f7aae488
Mas-Dalmau, Gemma
86902702-1211-4313-bf1f-1273659ee89b
Munoz, Laura
d1b3a767-4d15-4f0a-ad4b-e7fb341fcd5e
Samuel, Kirsty
233ff8ed-dbee-45ab-a19a-0870d3e7d4a4
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Little, Paul
1bf2d1f7-200c-47a5-ab16-fe5a8756a777
Stuart, Beth
626862fc-892b-4f6d-9cbb-7a8d7172b209
Hounkpatin, Hilda
5612e5b4-6286-48c8-b81f-e96d1148681d
Becque, Taeko
ecd1b4d5-4db8-4442-81c2-04aa291cf2fd
Yao, Lily
7b003c8c-4478-479e-9071-418ea4c503fb
Zhu, Shihua
13511f9c-151c-483c-9dfd-2da13421db5c
Alonso-Coello, Pablo
2d29e862-ea00-4134-acd9-6e2269c054e8
Altiner, Attila
c444295b-0fd4-4cd3-98c1-efdfc3b52b64
Arroll, Bruce
a7e2c29e-9340-40c8-bf66-871289e7ff21
Bohning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Bostock, Jennifer
3a741e2f-f94c-4112-bfdc-42216867a40b
Bucher, Heiner C.
e38c2e7f-86af-4ecd-a798-e9510ce9a599
Chao, Jennifer
89d49468-d1e5-4e74-a911-371f929944fe
De La Poza Abad, Mariam
bdf25a4e-90b1-4442-bbf3-0e943ca783a7
Francis, NA
9b610883-605c-4fee-871d-defaa86ccf8e
Gillespie, David
757dc8d5-cae7-49ed-b099-4b44c9b0ce2b
Hay, Alastair
daf3c71f-5e5a-4bee-9bb8-7df67ec2a79f
Kenealy, Timothy
e749549b-5513-4eb0-9789-2f2b0cd82576
Loffler, Christin
87f0ae68-2f1c-451e-965c-a67cbc1d1682
McCormick, David
495459c9-df09-4783-9324-e791f7aae488
Mas-Dalmau, Gemma
86902702-1211-4313-bf1f-1273659ee89b
Munoz, Laura
d1b3a767-4d15-4f0a-ad4b-e7fb341fcd5e
Samuel, Kirsty
233ff8ed-dbee-45ab-a19a-0870d3e7d4a4
Moore, Michael
1be81dad-7120-45f0-bbed-f3b0cc0cfe99
Little, Paul
1bf2d1f7-200c-47a5-ab16-fe5a8756a777

Stuart, Beth, Hounkpatin, Hilda, Becque, Taeko, Yao, Lily, Zhu, Shihua, Alonso-Coello, Pablo, Altiner, Attila, Arroll, Bruce, Bohning, Dankmar, Bostock, Jennifer, Bucher, Heiner C., Chao, Jennifer, De La Poza Abad, Mariam, Francis, NA, Gillespie, David, Hay, Alastair, Kenealy, Timothy, Loffler, Christin, McCormick, David, Mas-Dalmau, Gemma, Munoz, Laura, Samuel, Kirsty, Moore, Michael and Little, Paul (2019) Delayed antibiotic prescribing for respiratory tract infections: an individual patient data meta-analysis. BMJ Open, 9. (doi:10.1136/bmjopen-2018-026925).

Record type: Article

Abstract


Introduction: Delayed prescribing can be a useful strategy to reduce antibiotic prescribing, but it is not clear for whom delayed prescribing might be effective. This protocol outlines an individual patient data (IPD) meta-analysis of randomised controlled trials (RCTs) and observational cohort studies to explore the overall effect of delayed prescribing and identify key patient characteristics that are associated with efficacy of delayed prescribing.
Methods and analysis: A systematic search of the databases Cochrane Central Register of Controlled Trials, Ovid MEDLINE, Ovid Embase, EBSCO CINAHL Plus and Web of Science was conducted to identify relevant studies from inception to October 2017. Outcomes of interest include duration of illness, severity of illness, complication, reconsultation and patient satisfaction. Study authors of eligible papers will be contacted and invited to contribute raw IPD data. IPD data will be checked against published data, harmonised and aggregated to create one large IPD database. Multilevel regression will be performed to explore interaction effects between treatment allocation and patient characteristics. The economic evaluation will be conducted based on IPD from the combined trial and observational studies to estimate the differences in costs and effectiveness for delayed prescribing compared with normal practice. A decision model will be developed to assess potential savings and cost-effectiveness in terms of reduced antibiotic usage of delayed prescribing and quality-adjusted life years.
Ethics and dissemination Ethical approval was obtained from the University of Southampton Faculty of Medicine Research Ethics Committee (Reference number: 30068). Findings of this study will be published in peer-reviewed academic journals as well as General Practice trade journals and will be presented at national and international conferences. The results will have important public health implications, shaping the way in which antibiotics are prescribed in the future and to whom delayed prescriptions are issued.

Text
Protocol_final published version - Version of Record
Available under License Creative Commons Attribution.
Download (237kB)

More information

Accepted/In Press date: 22 November 2018
e-pub ahead of print date: 21 January 2019

Identifiers

Local EPrints ID: 427935
URI: http://eprints.soton.ac.uk/id/eprint/427935
ISSN: 2044-6055
PURE UUID: 054ce11c-df29-413a-bef3-409358e1ff59
ORCID for Beth Stuart: ORCID iD orcid.org/0000-0001-5432-7437
ORCID for Dankmar Bohning: ORCID iD orcid.org/0000-0003-0638-7106
ORCID for NA Francis: ORCID iD orcid.org/0000-0001-8939-7312
ORCID for Michael Moore: ORCID iD orcid.org/0000-0002-5127-4509

Catalogue record

Date deposited: 05 Feb 2019 17:30
Last modified: 10 Jan 2022 03:19

Export record

Altmetrics

Contributors

Author: Beth Stuart ORCID iD
Author: Taeko Becque
Author: Lily Yao
Author: Shihua Zhu
Author: Pablo Alonso-Coello
Author: Attila Altiner
Author: Bruce Arroll
Author: Dankmar Bohning ORCID iD
Author: Jennifer Bostock
Author: Heiner C. Bucher
Author: Jennifer Chao
Author: Mariam De La Poza Abad
Author: NA Francis ORCID iD
Author: David Gillespie
Author: Alastair Hay
Author: Timothy Kenealy
Author: Christin Loffler
Author: David McCormick
Author: Gemma Mas-Dalmau
Author: Laura Munoz
Author: Kirsty Samuel
Author: Michael Moore ORCID iD
Author: Paul Little

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.

×