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      Teaching young GPs to cope with psychosocial consultations without prescribing: a durable impact of an e-module on determinants of benzodiazepines prescribing

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          Abstract

          Background

          Despite guidelines and campaigns to change prescribing behavior, General Practitioners (GPs) continue to overprescribe benzodiazepines (BZDs). New approaches to improve prescribing are needed. Using behavior change techniques and tailoring interventions to user characteristics are vital to promote behavior change. This study evaluated the impact of an e-module on factors known to determine BZD prescribing practice.

          Methods

          A tailored e-module that focuses on avoiding initial BZD prescriptions (and using psychological interventions as an alternative) was developed and offered to GPs in vocational training. Three self-report assessments took place: at baseline, immediately after the module (short term) and at least six months after completion (long term). Assessed determinants include GPs’ attitudes concerning treatment options, perceptions of the patient and self-efficacy beliefs. Readiness to adhere to prescribing guidelines was evaluated through assessing motivation, self-efficacy and implementability of non-pharmacological interventions.

          Changes in determinants were analyzed using the Wilcoxon signed-rank test. Changes in readiness to adhere to guidelines was analyzed using the nonparametric McNemar Bowker test.

          Results

          A desirable, significant and durable impact on determinants of BZD prescribing was observed. GPs ( n = 121) underwent desirable changes in their attitudes, perceptions and self-efficacy beliefs and these changes remained significant months after the intervention. Barriers to using a non-pharmacological approach often cited in literature remained absent and were not highlighted by the intervention. Furthermore a significant impact on GPs’ readiness to adhere to guidelines was observed. Participants reported change in their ability to cope with psychosocial consultations and to have tried using non-pharmacological interventions.

          Conclusions

          Tailoring an e-intervention to target group (GPs) characteristics appears to be successful in promoting behavioral change in GPs undertaking vocational training. Significant and lasting changes were observed in determinants of prescribing BZDs. The e-intervention resulted in a positive impact on participants’ readiness to adhere to BZD prescribing guidance and their coping with psychosocial consultations.

          Investigating which mechanisms of change are responsible for the observed effectiveness could help to refine and improve future interventions.

          Electronic supplementary material

          The online version of this article (10.1186/s12909-017-1100-3) contains supplementary material, which is available to authorized users.

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          Most cited references24

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          Stages and processes of self-change of smoking: toward an integrative model of change.

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            In search of how people change. Applications to addictive behaviors.

            How people intentionally change addictive behaviors with and without treatment is not well understood by behavioral scientists. This article summarizes research on self-initiated and professionally facilitated change of addictive behaviors using the key trans-theoretical constructs of stages and processes of change. Modification of addictive behaviors involves progression through five stages--pre-contemplation, contemplation, preparation, action, and maintenance--and individuals typically recycle through these stages several times before termination of the addiction. Multiple studies provide strong support for these stages as well as for a finite and common set of change processes used to progress through the stages. Research to date supports a trans-theoretical model of change that systematically integrates the stages with processes of change from diverse theories of psychotherapy.
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              A behavior change model for internet interventions.

              The Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published. The purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions. The model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance. By grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.
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                Author and article information

                Contributors
                Hanne.Creupelandt@UGent.be
                Sibyl.Anthierens@uantwerpen.be
                Hilde.Habraken@farmaka.be
                Tomrw.Declercq@UGent.be
                CSirdifield@lincoln.ac.uk
                nsiriwardena@lincoln.ac.uk
                Thierry.Christiaens@UGent.be
                Journal
                BMC Med Educ
                BMC Med Educ
                BMC Medical Education
                BioMed Central (London )
                1472-6920
                19 December 2017
                19 December 2017
                2017
                : 17
                : 259
                Affiliations
                [1 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Department of General Practice, , Primary Health Care Ghent University, ; Ghent, Belgium
                [2 ]ISNI 0000 0001 0790 3681, GRID grid.5284.b, Department of Primary Health Care and Interdisciplinary Care, , University of Antwerp, ; Antwerp, Belgium
                [3 ]Farmaka, Ghent, Belgium
                [4 ]ISNI 0000 0004 0420 4262, GRID grid.36511.30, Community and Health Research Unit, School of Health and Social Care, , University of Lincoln, ; Lincoln, UK
                [5 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, Clinical Pharmacology Research Unit, , Ghent University, Heymans Institute of Pharmacology, ; Ghent, Belgium
                Article
                1100
                10.1186/s12909-017-1100-3
                5735912
                29258496
                948d9a23-3990-41f3-b332-381172c0d819
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 April 2017
                : 6 December 2017
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Education
                benzodiazepine,general practitioner,coping with psychosocial consultations,psychological determinants of prescribing practice,changing prescribing behavior,e-intervention

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