Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior
Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior
Objectives
To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME.
Study Design and Setting
Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention.
Results
Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed.
Conclusion
A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial.
296-304
Treweek, Shaun
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Bonetti, Debbie
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MacLennan, Graeme
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Barnett, Karen
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Eccles, Martin
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Jones, Claire
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Pitts, Nigel
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Ricketts, Ian
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Sullivan, Frank
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Weal, Mark J.
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Francis, Jill
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March 2014
Treweek, Shaun
2e309a54-c618-4a59-b0fd-2b878034cb98
Bonetti, Debbie
eede767b-0ba3-4e90-87ae-2180c7362422
MacLennan, Graeme
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Barnett, Karen
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Eccles, Martin
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Jones, Claire
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Pitts, Nigel
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Ricketts, Ian
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Sullivan, Frank
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Weal, Mark J.
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Francis, Jill
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Treweek, Shaun, Bonetti, Debbie, MacLennan, Graeme, Barnett, Karen, Eccles, Martin, Jones, Claire, Pitts, Nigel, Ricketts, Ian, Sullivan, Frank, Weal, Mark J. and Francis, Jill
(2014)
Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior.
Journal of Clinical Epidemiology, 67 (3), .
(doi:10.1016/j.jclinepi.2013.09.015).
(PMID:24388292)
Abstract
Objectives
To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME.
Study Design and Setting
Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention.
Results
Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed.
Conclusion
A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial.
Text
Journal of Clinical Epidemiology 2014 Treweek.pdf
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Accepted/In Press date: 24 September 2013
e-pub ahead of print date: 31 December 2013
Published date: March 2014
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 386537
URI: http://eprints.soton.ac.uk/id/eprint/386537
PURE UUID: 40ebd72a-7ed0-422c-a5f4-d03fab996975
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Date deposited: 02 Feb 2016 11:26
Last modified: 15 Mar 2024 02:46
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Contributors
Author:
Shaun Treweek
Author:
Debbie Bonetti
Author:
Graeme MacLennan
Author:
Karen Barnett
Author:
Martin Eccles
Author:
Claire Jones
Author:
Nigel Pitts
Author:
Ian Ricketts
Author:
Frank Sullivan
Author:
Mark J. Weal
Author:
Jill Francis
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