scholarly journals Celebrating variability and a call to limit systematisation: the example of the Behaviour Change Technique Taxonomy and the Behaviour Change Wheel

2016 ◽  
Vol 10 (3) ◽  
pp. 245-250 ◽  
Author(s):  
Jane Ogden
2021 ◽  
pp. 91-106
Author(s):  
Grace A. Carroll ◽  
Jenny M. Groarke ◽  
Lisa Graham-Wisener

Abstract In this chapter, three key frameworks will be outlined, as well as how they fit together. This will allow animal welfare scientists to develop human behaviour change plans from start to finish. These three frameworks are (i) the theoretical domains framework (TDF; Michie et al., 2005); (ii) the behaviour change wheel (BCW; Michie et al., 2011, 2014); and (iii) the behaviour change technique taxonomy (BCTT; Michie et al., 2013). Each framework is described, and guidance is provided for applying these models to design effective human behaviour change interventions. Common pitfalls are outlined, and animal welfare examples are provided throughout to aid understanding.


2018 ◽  
Vol 28 (2) ◽  
pp. 212-233 ◽  
Author(s):  
Marko Ostojic ◽  
Jasmine Chung ◽  
Michael DiMattia ◽  
Brett Furlonger ◽  
Margherita Busacca ◽  
...  

School students are increasingly using apps for health-related purposes, either on their own or when recommended by psychologists or counsellors, as apps offer a way to assist students to change their behaviour. However, there is a growing need for psychologists and counsellors to be able to evaluate the quality and usefulness of such apps to effect behaviour change. This study was therefore undertaken to identify methods by which school psychologists and counsellors could evaluate health-related apps for clinical use or research purposes. After examining 15 studies of apps that met the inclusion criteria, it was clear that researchers used a number of taxonomies to evaluate the apps. There were seven taxonomies identified, of which five were generalisable to all health conditions, with the behaviour change technique (BCT) taxonomy being the most comprehensive, containing 13 key behaviour strategies. Despite the utility of the taxonomies to identify the amount of behaviour change content within the apps, it was difficult to determine how the behaviour change strategies were measured, thus reducing the ability to predict app effectiveness. Approaches to improving methods by which apps can be developed and evaluated are proposed.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Anna Chisholm ◽  
Lucie Byrne-Davis ◽  
Sarah Peters ◽  
Jane Beenstock ◽  
Suzanne Gilman ◽  
...  

Author(s):  
Katherine H KACZMARCZYK ◽  
Kara A GRAY-BURROWS ◽  
Karen VINALL-COLLIER ◽  
Peter F DAY

Abstract Background Oral health worldwide needs improving: untreated dental caries is the most common health condition affecting people globally. Mobile applications (apps) have potential to provide preventative oral health interventions. This study aimed to investigate the quality of available oral health promotion apps, assessing information provided and the barriers to oral health addressed using psychological frameworks. Methods A content assessment of oral health promotion apps targeted at adults in the UK iTunes store was conducted. The quality of 22 apps was assessed against 3 objective indices derived from the Delivering Better Oral Health toolkit, Theoretical Domains Framework and Behaviour Change Technique Taxonomy. Index scores were calculated and descriptive analyses were completed. Results On average, four Delivering Better Oral Health messages, seven Theoretical Domains Framework components and eight Behaviour Change Technique Taxonomy components were addressed per app. The most common components were: ‘take at least two minutes to brush’ for the Delivering Better Oral Health index, ‘goals’ and ‘intentions’ for the Theoretical Domains Framework index and ‘goal setting (behaviour)’ for the Behaviour Change Technique Taxonomy index. Conclusion The quality of information available in oral health apps requires improvement with the majority addressing only a few barriers to oral health. Currently, there is no recognized scale for evaluating oral health apps: this study provides a suggested method for future app evaluation. There is opportunity for a new app to be created based on health behaviour change theory which includes all the Delivering Better Oral Health messages.


2021 ◽  
Vol 9 (1) ◽  
pp. 1-168
Author(s):  
Susan Michie ◽  
Marie Johnston ◽  
Alexander J Rothman ◽  
Marijn de Bruin ◽  
Michael P Kelly ◽  
...  

Background Many global health challenges may be targeted by changing people’s behaviour. Behaviours including cigarette smoking, physical inactivity and alcohol misuse, as well as certain dietary behaviours, contribute to deaths and disability by increasing the risk of cancers, cardiovascular diseases and diabetes. Interventions have been designed to change these health behaviours with a view to reducing these health risks. However, the effectiveness of these interventions has been quite variable and further information is needed to enhance their success. More information is needed about the specific processes that underlie the effectiveness of intervention strategies. Aim Researchers have developed a taxonomy of 93 behaviour change techniques (i.e. the active components of an intervention that bring about behavioural change), but little is known regarding their potential mechanisms of action (i.e. the processes through which a behaviour change technique affects behaviour). We therefore aimed to examine links between behaviour change techniques and mechanisms of action. Method First, we conducted a literature synthesis study of 277 behaviour change intervention studies, from which we extracted information on links, described by authors, between behaviour change techniques and mechanisms of action, and identified an average of 10 links per intervention report. Second, behaviour change experts (n = 105) were engaged in a three-round consensus study in which they discussed and rated their confidence in the presence/absence of ‘links’ and ‘non-links’ between commonly used behaviour change techniques (n = 61) and a set of mechanisms of action (n = 26). Ninety links and 460 ‘non-links’ reached the pre-set threshold of 80% agreement. To enhance the validity of these results, a third study was conducted that triangulated the findings of the first two studies. Discrepancies and uncertainties between the studies were included in a reconciliation consensus study with a new group of experts (n = 25). The final results identified 92 definite behaviour change technique–mechanism of action links and 465 definite non-links. In a fourth study, we examined whether or not groups of behaviour change techniques used together frequently across interventions revealed shared theoretical underpinnings. We found that experts agreed on the underlying theory for three groups of behaviour change techniques. Results Our results are potentially useful to policy-makers and practitioners in selecting behaviour change techniques to include in behaviour change interventions. However, our data do not demonstrate that the behaviour change techniques are effective in targeting the mechanism of action; rather, the links identified may be the ‘best bets’ for interventions that are effective in changing mechanisms of action, and the non-links are unlikely to be effective. Researchers examining effectiveness of interventions in either primary studies or evidence syntheses may consider these links for further investigation. Conclusion To make our results usable by researchers, practitioners and policy-makers, they are available in an online interactive tool, which enables discussion and collaboration (https://theoryandtechniquetool.humanbehaviourchange.org/); accessed 1 March 2020. This work, building on previous work to develop the behaviour change technique taxonomy, is part of an ongoing programme of work: the Human Behaviour Change Project (www.humanbehaviourchange.org/; accessed 1 March 2020). Funding This project was funded by the Medical Research Council via its Methodology Panel: ‘Developing methodology for designing and evaluating theory-based complex interventions: an ontology for linking behaviour change techniques to theory’ (reference MR/L011115/1).


2020 ◽  
Author(s):  
Kathryn Berzins ◽  
Krysia Canvin ◽  
Sarah Kendal ◽  
Iris Benson ◽  
Ian Kellar ◽  
...  

Abstract Background: Incidents that threaten service user and staff safety occur frequently in adult mental health inpatient settings, often resulting in restrictive practices such as restraint and seclusion. These carry significant risks, including physical and psychological harms to service users and staff, as well as costs to the NHS. Numerous complex interventions have been developed which aim to reduce the use of restrictive practices. Aims: The aims were to identify, standardise and report the effectiveness of components of interventions that seek to reduce restrictive practices in adult mental health inpatient settings, using the Behaviour Change Technique taxonomy. Methods: A systematic mapping review of literature identified in health and social care research databases and unpublished sources (including social media) was undertaken. Records were quality appraised using the MMAT. Records of interventions to reduce any form of restrictive practice used with adults in mental health services were included. The resulting dataset for extraction was guided by WIDER, Cochrane and theory coding guidelines. The BCT taxonomy was systematically applied to each identified intervention.Results: The final dataset comprised 175 records reporting 150 interventions, 109 of which had been formally evaluated. The most common intervention targets were seclusion and/or restraint reduction. The most common evaluation approach was a non-randomised design. There were only six randomised controlled trials. The number of BCTs identified per intervention ranged from 1-33 (mean:8). The most common strategy was staff training. BCTs from 14 of a possible 16 clusters were detected. Over two thirds of the BCTs mapped onto four of the 14 clusters: ‘Goals and planning’; ‘Antecedents’; ‘Shaping knowledge’; ‘Feedback and monitoring’. Those BCTs which were found in all the interventions were similar to those found in those interventions which demonstrated statistically significant effects. Conclusions: Studies of interventions to reduce restrictive practices appear to be diverse quality. Interventions tended to contain multiple components delivered in multiple ways. Further research could enhance the evidence base prior to future commissioning decisions. Separate testing of individual procedures, for example, audit and feedback, could ascertain the more effective intervention components and improve understanding of content and delivery. Registration: The study is registered as PROSPERO 2018 CRD42018086985 Available from: http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42018086985


2015 ◽  
Vol 74 (2) ◽  
pp. 164-170 ◽  
Author(s):  
Lou Atkins ◽  
Susan Michie

Understanding and changing eating behaviours are central to the work of Nutrition Society members working in both research and applied settings. The present paper describes a recently published resource to guide the design of interventions to change behaviour, The Behaviour Change Wheel: A Guide to Designing Interventions (BCW Guide). This is a practical guide to intervention design that brings together recently-developed theory-based tools in behavioural science into a coherent step-by-step design process. It is based on the BCW, a synthesis of nineteen frameworks of behaviour change found in the research literature. The BCW has at its core a model of behaviour known as ‘capability’, ‘opportunity’, ‘motivation’ and ‘behaviour’. The model recognises that behaviour is part of an interacting system involving all these components. The BCW identifies different intervention options that can be applied to changing each of the components and policies that can be adopted to deliver those intervention options. The book shows how the BCW links to theory-based frameworks to understand behaviour such as the Theoretical Domains Framework and the recently developed Behaviour Change Technique Taxonomy v1 for specifying intervention content. In essence, it shows how to link what is understood about a given behaviour to types of intervention likely to be effective and then translate this into a locally relevant intervention. In addition, the present paper sets out some principles of intervention design.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Vasilis S. Vasiliou ◽  
Samantha Dockray ◽  
Samantha Dick ◽  
Martin P. Davoren ◽  
Ciara Heavin ◽  
...  

Abstract Background Digital harm-reduction interventions typically focus on people with severe drug-use problems, yet these interventions have moderate effectiveness on drug-users with lower levels of risk of harm. The difference in effectiveness may be explained by differences in behavioural patterns between the two groupings. Harnessing behavioural theories to understand what is at the core of drug-use behaviours and mapping the content of new interventions, may improve upon the effectiveness of interventions for lower-risk drug-users. To the best of our knowledge, this is the first study to systematically apply the Behaviour Change Wheel (BCW) approach to understand the components, influencing capabilities, opportunities, and motivations (COM-B) of higher education students to change their drug-use behaviors. It is also the first study which identifies specific patterns of behaviours that are more responsive to harm reduction practices through the use of the Theoretical Domain Framework (TDF). Methods We employed an explanatory sequential mix-method design. We first conducted an on-line survey and a Delphi exercise to understand the factors influencing COM-B components of higher education students to change their drug-use. Subsequently, we mapped all evidence onto the COM-B components and the TDF domains to identify clusters of behaviours to target for change, using a pattern-based discourse analysis. Finally, a series of multidisciplinary group meetings identified the intervention functions—the means by which the intervention change targeted behaviours and the Behavioural Change Techniques (BCTs) involved using the behaviour change technique taxonomy (v.1). Results Twenty-nine BCTs relevant to harm-reduction practices were identified and mapped across five intervention functions (education, modelling, persuasion, incentivization, and training) and five policy categories (communication/marketing, guidelines, regulation, service provision, and environmental/social planning). These BCTs were distributed across eight identified saturated clusters of behaviours MyUSE intervention attempts to change. Conclusions The BCTs, identified, will inform the development of a digitally delivered behaviour change intervention that focuses on increasing mindful decision-making with respect to drug-use and promotes alternatives to drug-use activities. The findings can also inform implementation scientists in applying context-specific harm-reduction practices in higher education. We present examples of how the eight identified clusters of target behaviours are mapped across the COM-B components and the TDF, along with suggestions of implementation practices for harm reduction at student population level.


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