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Developing and evaluating interventions to reduce inappropriate prescribing by general practitioners of antibiotics for upper respiratory tract infections: a randomised controlled trial to compare paper-based and web-based modelling experiments

Developing and evaluating interventions to reduce inappropriate prescribing by general practitioners of antibiotics for upper respiratory tract infections: a randomised controlled trial to compare paper-based and web-based modelling experiments
Developing and evaluating interventions to reduce inappropriate prescribing by general practitioners of antibiotics for upper respiratory tract infections: a randomised controlled trial to compare paper-based and web-based modelling experiments
Background Much implementation research is focused on full-scale trials with little evidence of preceding modelling work. The Medical Research Council Framework for developing and evaluating complex interventions has argued for more and better theoretical and exploratory work prior to a trial as a means of improving intervention development. Intervention modelling experiments (IMEs) are a way of exploring and refining an intervention before moving to a full-scale trial. They do this by delivering key elements of the intervention in a simulation that approximates clinical practice by, for example, presenting general practitioners (GPs) with a clinical scenario about making a treatment decision. Methods The current proposal will run a full, web-based IME involving 250 GPs that will advance the methodology of IMEs by directly comparing results with an earlier paper-based IME. Moreover, the web-based IME will evaluate an intervention that can be put into a full-scale trial that aims to reduce antibiotic prescribing for upper respiratory tract infections in primary care. The study will also include a trial of email versus postal invitations to participate. Discussion More effective behaviour change interventions are needed and this study will develop one such intervention and a system to model and test future interventions. This system will be applicable to any situation in the National Health Service where behaviour needs to be modified, including interventions aimed directly at the public. Trial registration Current Controlled Trials NCT01206738.
Treweek, Shaun
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Ricketts, Ian W.
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Francis, Jullian
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Eccles, Martin
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Bonetti, Debbie
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Pitts, Nigel B.
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MacLennan, Graeme
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Sullivan, Frank
54fec8ce-02e9-4aab-b2e6-c32e668458cd
Jones, Claire
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Weal, Mark
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Barnett, Karen
bab150da-009d-41de-b80e-e666a5923caa
Treweek, Shaun
2e309a54-c618-4a59-b0fd-2b878034cb98
Ricketts, Ian W.
d23b08b5-8996-4119-a895-21dda4121e37
Francis, Jullian
58a45139-a974-423e-97aa-b26206ff706a
Eccles, Martin
3f686d76-2b03-41af-986a-9191a906b739
Bonetti, Debbie
eede767b-0ba3-4e90-87ae-2180c7362422
Pitts, Nigel B.
f33b73ae-b7ff-4639-ad67-bd4f6179b15e
MacLennan, Graeme
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Sullivan, Frank
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Jones, Claire
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Weal, Mark
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Barnett, Karen
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Treweek, Shaun, Ricketts, Ian W., Francis, Jullian, Eccles, Martin, Bonetti, Debbie, Pitts, Nigel B., MacLennan, Graeme, Sullivan, Frank, Jones, Claire, Weal, Mark and Barnett, Karen (2011) Developing and evaluating interventions to reduce inappropriate prescribing by general practitioners of antibiotics for upper respiratory tract infections: a randomised controlled trial to compare paper-based and web-based modelling experiments. Implementation Science, 6 (16).

Record type: Article

Abstract

Background Much implementation research is focused on full-scale trials with little evidence of preceding modelling work. The Medical Research Council Framework for developing and evaluating complex interventions has argued for more and better theoretical and exploratory work prior to a trial as a means of improving intervention development. Intervention modelling experiments (IMEs) are a way of exploring and refining an intervention before moving to a full-scale trial. They do this by delivering key elements of the intervention in a simulation that approximates clinical practice by, for example, presenting general practitioners (GPs) with a clinical scenario about making a treatment decision. Methods The current proposal will run a full, web-based IME involving 250 GPs that will advance the methodology of IMEs by directly comparing results with an earlier paper-based IME. Moreover, the web-based IME will evaluate an intervention that can be put into a full-scale trial that aims to reduce antibiotic prescribing for upper respiratory tract infections in primary care. The study will also include a trial of email versus postal invitations to participate. Discussion More effective behaviour change interventions are needed and this study will develop one such intervention and a system to model and test future interventions. This system will be applicable to any situation in the National Health Service where behaviour needs to be modified, including interventions aimed directly at the public. Trial registration Current Controlled Trials NCT01206738.

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Published date: 3 March 2011
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 272080
URI: http://eprints.soton.ac.uk/id/eprint/272080
PURE UUID: 14d5412c-ee03-49dd-afea-d237793d3e14
ORCID for Mark Weal: ORCID iD orcid.org/0000-0001-6251-8786

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Date deposited: 03 Mar 2011 17:22
Last modified: 09 Jan 2022 02:44

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Contributors

Author: Shaun Treweek
Author: Ian W. Ricketts
Author: Jullian Francis
Author: Martin Eccles
Author: Debbie Bonetti
Author: Nigel B. Pitts
Author: Graeme MacLennan
Author: Frank Sullivan
Author: Claire Jones
Author: Mark Weal ORCID iD
Author: Karen Barnett

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