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Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care

BACKGROUND: Methodological guidelines for intervention reporting emphasise describing intervention content in detail. Despite this, systematic reviews of quality improvement (QI) implementation interventions continue to be limited by a lack of clarity and detail regarding the intervention content be...

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Autores principales: Presseau, Justin, Ivers, Noah M, Newham, James J, Knittle, Keegan, Danko, Kristin J, Grimshaw, Jeremy M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438476/
https://www.ncbi.nlm.nih.gov/pubmed/25900104
http://dx.doi.org/10.1186/s13012-015-0248-7
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author Presseau, Justin
Ivers, Noah M
Newham, James J
Knittle, Keegan
Danko, Kristin J
Grimshaw, Jeremy M
author_facet Presseau, Justin
Ivers, Noah M
Newham, James J
Knittle, Keegan
Danko, Kristin J
Grimshaw, Jeremy M
author_sort Presseau, Justin
collection PubMed
description BACKGROUND: Methodological guidelines for intervention reporting emphasise describing intervention content in detail. Despite this, systematic reviews of quality improvement (QI) implementation interventions continue to be limited by a lack of clarity and detail regarding the intervention content being evaluated. We aimed to apply the recently developed Behaviour Change Techniques Taxonomy version 1 (BCTTv1) to trials of implementation interventions for managing diabetes to assess the capacity and utility of this taxonomy for characterising active ingredients. METHODS: Three psychologists independently coded a random sample of 23 trials of healthcare system, provider- and/or patient-focused implementation interventions from a systematic review that included 142 such studies. Intervention content was coded using the BCTTv1, which describes 93 behaviour change techniques (BCTs) grouped within 16 categories. We supplemented the generic coding instructions within the BCTTv1 with decision rules and examples from this literature. RESULTS: Less than a quarter of possible BCTs within the BCTTv1 were identified. For implementation interventions targeting providers, the most commonly identified BCTs included the following: adding objects to the environment, prompts/cues, instruction on how to perform the behaviour, credible source, goal setting (outcome), feedback on outcome of behaviour, and social support (practical). For implementation interventions also targeting patients, the most commonly identified BCTs included the following: prompts/cues, instruction on how to perform the behaviour, information about health consequences, restructuring the social environment, adding objects to the environment, social support (practical), and goal setting (behaviour). The BCTTv1 mapped well onto implementation interventions directly targeting clinicians and patients and could also be used to examine the impact of system-level interventions on clinician and patient behaviour. CONCLUSIONS: The BCTTv1 can be used to characterise the active ingredients in trials of implementation interventions and provides specificity of content beyond what is given by broader intervention labels. Identification of BCTs may provide a more helpful means of accumulating knowledge on the content used in trials of implementation interventions, which may help to better inform replication efforts. In addition, prospective use of a behaviour change techniques taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective implementation interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-015-0248-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-44384762015-05-21 Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care Presseau, Justin Ivers, Noah M Newham, James J Knittle, Keegan Danko, Kristin J Grimshaw, Jeremy M Implement Sci Research BACKGROUND: Methodological guidelines for intervention reporting emphasise describing intervention content in detail. Despite this, systematic reviews of quality improvement (QI) implementation interventions continue to be limited by a lack of clarity and detail regarding the intervention content being evaluated. We aimed to apply the recently developed Behaviour Change Techniques Taxonomy version 1 (BCTTv1) to trials of implementation interventions for managing diabetes to assess the capacity and utility of this taxonomy for characterising active ingredients. METHODS: Three psychologists independently coded a random sample of 23 trials of healthcare system, provider- and/or patient-focused implementation interventions from a systematic review that included 142 such studies. Intervention content was coded using the BCTTv1, which describes 93 behaviour change techniques (BCTs) grouped within 16 categories. We supplemented the generic coding instructions within the BCTTv1 with decision rules and examples from this literature. RESULTS: Less than a quarter of possible BCTs within the BCTTv1 were identified. For implementation interventions targeting providers, the most commonly identified BCTs included the following: adding objects to the environment, prompts/cues, instruction on how to perform the behaviour, credible source, goal setting (outcome), feedback on outcome of behaviour, and social support (practical). For implementation interventions also targeting patients, the most commonly identified BCTs included the following: prompts/cues, instruction on how to perform the behaviour, information about health consequences, restructuring the social environment, adding objects to the environment, social support (practical), and goal setting (behaviour). The BCTTv1 mapped well onto implementation interventions directly targeting clinicians and patients and could also be used to examine the impact of system-level interventions on clinician and patient behaviour. CONCLUSIONS: The BCTTv1 can be used to characterise the active ingredients in trials of implementation interventions and provides specificity of content beyond what is given by broader intervention labels. Identification of BCTs may provide a more helpful means of accumulating knowledge on the content used in trials of implementation interventions, which may help to better inform replication efforts. In addition, prospective use of a behaviour change techniques taxonomy for developing and reporting intervention content would further aid in building a cumulative science of effective implementation interventions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-015-0248-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-23 /pmc/articles/PMC4438476/ /pubmed/25900104 http://dx.doi.org/10.1186/s13012-015-0248-7 Text en © Presseau et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research
Presseau, Justin
Ivers, Noah M
Newham, James J
Knittle, Keegan
Danko, Kristin J
Grimshaw, Jeremy M
Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title_full Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title_fullStr Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title_full_unstemmed Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title_short Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
title_sort using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438476/
https://www.ncbi.nlm.nih.gov/pubmed/25900104
http://dx.doi.org/10.1186/s13012-015-0248-7
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