Shaun Treweek1, Debbie Bonetti2, Graeme Maclennan3, Karen Barnett4, Martin P Eccles5, Claire Jones6, Nigel B Pitts7, Ian W Ricketts8, Frank Sullivan9, Mark Weal10, Jill J Francis11. 1. Health Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen AB25 2ZD, UK. Electronic address: streweek@mac.com. 2. Dental Health Services Research Unit, University of Dundee, Kirsty Semple Way, Dundee DD2 4BF, UK. 3. Health Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen AB25 2ZD, UK. 4. Centre for Population Health Sciences, University of Edinburgh, Medical Quad, Teviot Place, Edinburgh EH8 9AG, UK. 5. Institute of Health & Society, Newcastle University, Baddiley Clark Building, Richardson Road, Newcastle Upon Tyne NE2 4AX, UK. 6. Health Informatics Centre, University of Dundee, Kirsty Semple Way, Dundee DD2 4BF, UK. 7. Dental Institute, Kings College London, Strand, London WC2R 2LS, UK. 8. School of Computing, University of Dundee, Queen Mother Building, Dundee DD1 4HN, UK. 9. Quality, Safety & Informatics Research Group, University of Dundee, Kirsty Semple Way, Dundee DD2 4BF, UK. 10. School of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK. 11. School of Health Sciences, City University London, Northampton Square, London EC1V 0HB, UK.
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.
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.
Authors: Susan Michie; Rachel N Carey; Marie Johnston; Alexander J Rothman; Marijn de Bruin; Michael P Kelly; Lauren E Connell Journal: Ann Behav Med Date: 2018-05-18
Authors: Rachel N Carey; Lauren E Connell; Marie Johnston; Alexander J Rothman; Marijn de Bruin; Michael P Kelly; Susan Michie Journal: Ann Behav Med Date: 2019-07-17