scholarly journals SmokefreeTXT Behaviour Change Technique Analysis

2016 ◽  
Vol 12 (4) ◽  
pp. 231-243 ◽  
Author(s):  
Iva Stoyneva ◽  
Kisha Coa ◽  
Jillian Pugatch ◽  
Amy Sanders ◽  
Mary Schwarz ◽  
...  
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Behaviour Change ◽  
Text Messaging ◽  
Behavioural Change ◽  
Building Blocks ◽  
Behaviour Change Techniques ◽  
Behaviour Change Technique ◽  
Frequency Of Use ◽  
Over Time

Mobile text-messaging smoking cessation interventions have demonstrated their efficacy in increasing cessation rates. These interventions tend to be multifaceted and there is a need to specify their building blocks. The purpose of this study was to use the Behavioural Change Techniques Taxonomy V1 (BCTTv1) to systematically analyse the behaviour change techniques present in the SmokefreeTXT (SFTXT) adult programme. The entire SFTXT library was coded using the BCTTv1. Frequencies were calculated to assess the presence of BCT groups and unique BCTs in the entire programme. The mix of BCTs was also examined by programme week and during periods of high user dropout. Of the 16 groups of behavioural techniques, 14 were present in SFTXT. Of the 93 distinct BCTs, 41 were present in the full SFTXT message library. The most prevalent BCT groups were Feedback and Monitoring, Natural Consequences, Social Support, and Shaping Knowledge. There were differences in the mix of BCTs across the duration of the intervention. The results will enable us to test how changes in the use of specific BCTs and their frequency of use over time, impact (1) engagement with the programme (particularly during the days with high dropout rates), and (2) smoking cessation outcomes over time.

scholarly journals Developing an evidence-based online method of linking behaviour change techniques and theoretical mechanisms of action: a multiple methods study

2021 ◽  
Vol 9 (1) ◽  
pp. 1-168
Author(s):  
Susan Michie ◽  
Marie Johnston ◽  
Alexander J Rothman ◽  
Marijn de Bruin ◽  
Michael P Kelly ◽  
...  
Keyword(s):  
Behaviour Change ◽  
Mechanism Of Action ◽  
Behavioural Change ◽  
Complex Interventions ◽  
Mechanisms Of Action ◽  
Behaviour Change Techniques ◽  
Active Components ◽  
Behaviour Change Technique ◽  
Policy Makers ◽  
Change Technique

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).

scholarly journals Characterising the ‘Txt2Stop’ Smoking Cessation Text Messaging Intervention in Terms of Behaviour Change Techniques

2012 ◽  
Vol 7 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Susan Michie ◽  
Caroline Free ◽  
Robert West
Keyword(s):  
Smoking Cessation ◽  
Behaviour Change ◽  
Text Messaging ◽  
Self Regulation ◽  
Text Message ◽  
Behaviour Change Techniques ◽  
Rater Reliability ◽  
Communication Techniques ◽  
Regulatory Capacity ◽  
Text Messaging Intervention

The ‘Txt2Stop’ SMS messaging programme has been found to double smokers’ chances of stopping. It is important to characterise the content of this information in terms of specific behaviour change techniques (BCTs) for the purpose of future development. This study aimed to (i) extend a proven system for coding BCTs to text messaging and (ii) characterise Txt2Stop using this system. A taxonomy previously used to specify BCTs in face-to-face behavioural support for smoking cessation was adapted for the Txt2Stop messages and inter-rater reliability for the adapted system assessed. The system was then applied to all the messages in the Txt2Stop programme to determine its profile in terms of BCTs used. The text message taxonomy comprised 34 BCTs. Inter-rater reliability was moderate, reaching a ceiling of 61% for the core program messages with all discrepancies readily resolved. Of 899 texts delivering BCTs, 218 aimed to maintain motivation to remain abstinent, 870 to enhance self-regulatory capacity or skills, 39 to promote use of adjuvant behaviours such as using stop-smoking medication, 552 to maintain engagement with the intervention and 24 were general communication techniques. The content of Txt2Stop focuses on helping smokers with self-regulation and maintaining engagement with the intervention. The intervention focuses to a lesser extent on boosting motivation to remain abstinent; little attention is given to promoting effective use of adjuvant behaviours such as use of nicotine replacement therapy. As new interventions of this kind are developed it will be possible to compare their effectiveness and relate this to standardised descriptions of their content using this system.

scholarly journals Selecting behaviour change techniques to reduce sedentary behaviour in people with stroke using the Behaviour Change Wheel

2019 ◽  
Author(s):  
Roderick Wondergem ◽  
Wendy Hendrickx ◽  
Eveline Wouters ◽  
Rob de Bie ◽  
Johanna Visser ◽  
...  
Keyword(s):  
Social Support ◽  
Sedentary Behaviour ◽  
Goal Setting ◽  
Behaviour Change ◽  
Cognitive Impairments ◽  
Behavioural Change ◽  
Action Planning ◽  
Community Dwelling ◽  
Behaviour Change Techniques ◽  
The Social

Abstract Background Research has shown that sedentary behaviour increases the risk of stroke, cardiovascular disease and mortality. People with stroke are highly sedentary. Therefore, reducing sedentary behaviour might reduce the risk of secondary events and death. Personalized strategies using behavioural change techniques directed at reducing sedentary behaviour in people with stroke are currently lacking. Purpose To systematically determine the behaviour change techniques (BCTs) for a behavioural change intervention, directed at reducing sedentary behaviour in community-dwelling people with stroke, using the Behaviour Change Wheel (BCW). Method To complete the stages of the BCW, information on understanding the behaviour, identifying intervention functions, identifying BCTs and modes of delivery were needed. To acquire this information, per stage a literature search was conducted and nominal group technique (NGT) sessions were conducted to identify BCTs. The NGT sessions were conducted with professionals working with people with stroke and with international researchers working in the stroke or sedentary behaviour field. Participants made their choice by rating the BCTs, starting from most important (eight points) down to zero points. Results In total, 75 eligible BCTs were identified. Five BCTs should always be included: ‘goal setting’, ‘action planning’, ‘social support’, ‘problem solving’ and ‘restructuring of the social environment’. For patients without cognitive impairments, ‘self-monitoring’, ‘feedback on behaviour’, ‘information about health consequences’ and ‘goal setting on outcome’ were advised to be included, while for patients with cognitive impairments, ‘prompts/cues’, ‘graded tasks’, ‘restructuring the physical environment’ and ‘social support practical’ should be considered. Conclusion Behaviour change techniques were identified for a behavioural change intervention aiming to reduce sedentary behaviour in community-dwelling people with first-ever stroke. BCTs recommendations depend on the presence of physical and cognitive impairments, although ‘goal setting’, ‘action planning’, ‘social support’, ‘problem solving’ and ‘restructuring of the social environment’ are recommended in all people with first-ever stroke. The identified BCTs serve as the basis for further development of a personalized blended care intervention to reduce sedentary behaviour in people with stroke.

scholarly journals Perioperative digital behaviour change interventions for reducing alcohol consumption, improving dietary intake, increasing physical activity and smoking cessation: a scoping review

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Katarina Åsberg ◽  
Marcus Bendtsen
Keyword(s):  
Physical Activity ◽  
Smoking Cessation ◽  
Behaviour Change ◽  
Scoping Review ◽  
Text Messaging ◽  
Text Message ◽  
Feasibility Studies ◽  
Small Sample ◽  
Small Sample Sizes ◽  
Randomised Controlled

Abstract Background Evidence suggests that unhealthy lifestyle behaviours are modifiable risk factors for postoperative complications. Digital behaviour change interventions (DBCIs), for instance text messaging programs and smartphone apps, have shown promise in achieving lifestyle behaviour change in a wide range of clinical populations, and it may therefore be possible to reduce postoperative complications by supporting behaviour change perioperatively using digital interventions. This scoping review was conducted in order to identify existing research done in the area of perioperative DBCIs for reducing alcohol consumption, improving dietary intake, increasing physical activity and smoking cessation. Main text This scoping review included eleven studies covering a range of surgeries: bariatric, orthopaedic, cancer, transplantation and elective surgery. The studies were both randomised controlled trials and feasibility studies and investigated a diverse set of interventions: one game, three smartphone apps, one web-based program and five text message interventions. Feasibility studies reported user acceptability and satisfaction with the behaviour change support. Engagement data showed participation rates ranged from 40 to 90%, with more participants being actively engaged early in the intervention period. In conclusion, the only full-scale randomised controlled trial (RCT), text messaging ahead of bariatric surgery did not reveal any benefits with respect to adherence to preoperative exercise advice when compared to a control group. Two of the pilot studies, one text message intervention, one game, indicated change in a positive direction with respect to alcohol and tobacco outcomes, but between group comparisons were not done due to small sample sizes. The third pilot-study, a smartphone app, found between group changes for physical activity and alcohol, but not with respect to smoking cessation outcomes. Conclusion This review found high participant satisfaction, but shows recruitment and timing-delivery issues, as well as low retention to interventions post-surgery. Small sample sizes and the use of a variety of feasibility outcome measures prevent the synthesis of results and makes generalisation difficult. Future research should focus on defining standardised outcome measures, enhancing patient engagement and improving adherence to behaviour change prior to scheduled surgery.

scholarly journals Changing behaviour, ‘more or less’: do implementation and de-implementation interventions include different behaviour change techniques?

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Andrea M. Patey ◽  
Jeremy M. Grimshaw ◽  
Jill J. Francis
Keyword(s):  
Behaviour Change ◽  
Implicit Theories ◽  
Cochrane Library ◽  
Behaviour Change Techniques ◽  
Behaviour Change Technique ◽  
Exact Test ◽  
Continuity Correction ◽  
Chi Squared ◽  
Clinician Behaviour ◽  
The Cochrane Library

Abstract Background Decreasing ineffective or harmful healthcare practices (de-implementation) may require different approaches than those used to promote uptake of effective practices (implementation). Few psychological theories differentiate between processes involved in decreasing, versus increasing, behaviour. However, it is unknown whether implementation and de-implementation interventions already use different approaches. We used the behaviour change technique (BCT) taxonomy (version 1) (which includes 93 BCTs organised into 12 groupings) to investigate whether implementation and de-implementation interventions for clinician behaviour change use different BCTs. Methods Intervention descriptions in 181 articles from three systematic reviews in the Cochrane Library were coded for (a) implementation versus de-implementation and (b) intervention content (BCTs) using the BCT taxonomy (v1). BCT frequencies were calculated and compared using Pearson’s chi-squared (χ2), Yates’ continuity correction and Fisher’s exact test, where appropriate. Identified BCTs were ranked according to frequency and rankings for de-implementation versus implementation interventions were compared and described. Results Twenty-nine and 25 BCTs were identified in implementation and de-implementation interventions respectively. Feedback on behaviour was identified more frequently in implementation than de-implementation (Χ2(2, n=178) = 15.693, p = .000057). Three BCTs were identified more frequently in de-implementation than implementation: Behaviour substitution (Χ2(2, n=178) = 14.561, p = .0001; Yates’ continuity correction); Monitoring of behaviour by others without feedback (Χ2(2, n=178) = 16.187, p = .000057; Yates’ continuity correction); and Restructuring social environment (p = .000273; Fisher’s 2-sided exact test). Conclusions There were some significant differences between BCTs reported in implementation and de-implementation interventions suggesting that researchers may have implicit theories about different BCTs required for de-implementation and implementation. These findings do not imply that the BCTs identified as targeting implementation or de-implementation are effective, rather simply that they were more frequently used. These findings require replication for a wider range of clinical behaviours. The continued accumulation of additional knowledge and evidence into whether implementation and de-implementation is different will serve to better inform researchers and, subsequently, improve methods for intervention design.

scholarly journals Characterising smoking cessation smartphone applications in terms of behaviour change techniques, engagement and ease-of-use features

2015 ◽  
Vol 6 (3) ◽  
pp. 410-417 ◽  
Author(s):  
Harveen Kaur Ubhi ◽  
Susan Michie ◽  
Daniel Kotz ◽  
Onno C. P. van Schayck ◽  
Abiram Selladurai ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Behaviour Change ◽  
Ease Of Use ◽  
Behaviour Change Techniques ◽  
Smartphone Applications

scholarly journals Breaking barriers: using the Behavior Change Wheel to develop a tailored intervention to overcome workplace inhibitors to breaking up sitting time

2019 ◽  
Author(s):  
Samson O Ojo ◽  
Daniel P. Bailey ◽  
Marsha L. Brierley ◽  
David J. Hewson ◽  
Angel M. Chater
Keyword(s):  
Behaviour Change ◽  
Theoretical Domains Framework ◽  
Office Workers ◽  
Sitting Time ◽  
Mental Wellbeing ◽  
Behaviour Change Techniques ◽  
Tailored Intervention ◽  
Structured Interviews ◽  
Behaviour Change Technique ◽  
Break Up

Abstract Background: The workplace is a prominent domain for excessive sitting. The consequences of increased sitting time include adverse health outcomes such as cardiovascular disease and poor mental wellbeing. There is evidence that breaking up sitting could improve health, however, any such intervention in the workplace would need to be informed by a theoretical evidence-based framework. The aim of this study was to use the Behaviour Change Wheel (BCW) to develop a tailored intervention to break up and reduce workplace sitting in desk-based workers. Methods: The BCW guide was followed for this qualitative, pre-intervention development study. Semi-structured interviews were conducted with 25 office workers (26-59 years, mean age 40.9 [SD=10.8] years; 68% female) who were purposively recruited from local council offices and a university in the East of England region. The interview questions were developed using the Theoretical Domains Framework (TDF). Transcripts were deductively analysed using the COM-B (Capability, Opportunity, Motivation – Behaviour) model of behaviour. The Behaviour Change Technique Taxonomy Version 1 (BCTv1) was thereafter used to identify possible strategies that could be used to facilitate change in sitting behaviour of office workers in a future intervention. Results: Qualitative analysis using COM-B identified that participants felt that they had the physical Capability to break up their sitting time, however, some lacked the psychological Capability in relation to the knowledge of both guidelines for sitting time and the consequences of excess sitting. Social and physical Opportunity was identified as important, such as a supportive organisational culture (social) and the need for environmental resources (physical). Reflective and automatic Motivation was highlighted as a core target for intervention. Seven intervention functions and three policy categories from the BCW were identified as relevant. Finally, 39 behaviour change techniques (BCTs) were identified as potential active components for an intervention to break up sitting time in the workplace. Conclusions: The TDF, COM-B model and BCW can be successfully applied through a systematic process to understand the drivers of behaviour of office workers to develop a co-created intervention that can be used to break up and decrease prolonged sitting in the workplace.

scholarly journals Breaking barriers: using the Behavior Change Wheel to develop a tailored intervention to overcome workplace inhibitors to breaking up sitting time

2019 ◽  
Author(s):  
Samson O Ojo ◽  
Daniel P. Bailey ◽  
Marsha L. Brierley ◽  
David J. Hewson ◽  
Angel M. Chater
Keyword(s):  
Behaviour Change ◽  
Theoretical Domains Framework ◽  
Office Workers ◽  
Sitting Time ◽  
Mental Wellbeing ◽  
Behaviour Change Techniques ◽  
Tailored Intervention ◽  
Structured Interviews ◽  
Behaviour Change Technique ◽  
Break Up

Abstract Background: The workplace is a prominent domain for excessive sitting. The consequences of increased sitting time include adverse health outcomes such as cardiovascular disease and poor mental wellbeing. There is evidence that breaking up sitting could improve health, however, any such intervention in the workplace would need to be informed by a theoretical evidence-based framework. The aim of this study was to use the Behaviour Change Wheel (BCW) to develop a tailored intervention to break up and reduce workplace sitting in desk-based workers. Methods: The BCW guide was followed for this qualitative, pre-intervention development study. Semi-structured interviews were conducted with 25 office workers (26-59 years, mean age 40.9 [SD=10.8] years; 68% female) who were purposively recruited from local council offices and a university in the East of England region. The interview questions were developed using the Theoretical Domains Framework (TDF). Transcripts were deductively analysed using the COM-B (Capability, Opportunity, Motivation – Behaviour) model of behaviour. The Behaviour Change Technique Taxonomy Version 1 (BCTv1) was thereafter used to identify possible strategies that could be used to facilitate change in sitting behaviour of office workers in a future intervention. Results: Qualitative analysis using COM-B identified that participants felt that they had the physical Capability to break up their sitting time, however, some lacked the psychological Capability in relation to the knowledge of both guidelines for sitting time and the consequences of excess sitting. Social and physical Opportunity was identified as important, such as a supportive organisational culture (social) and the need for environmental resources (physical). Reflective and automatic Motivation was highlighted as a core target for intervention. Seven intervention functions and three policy categories from the BCW were identified as relevant. Finally, 39 behaviour change techniques (BCTs) were identified as potential active components for an intervention to break up sitting time in the workplace. Conclusions: The TDF, COM-B model and BCW can be successfully applied through a systematic process to understand the drivers of behaviour of office workers to develop a co-created intervention that can be used to break up and decrease prolonged sitting in the workplace.

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