scholarly journals Identification of Behaviour Change Techniques from successful online interventions targeting Alcohol Consumption, Binge Eating and Gambling. (Preprint)

Author(s):  
Gabrielle Humphreys ◽  
Rebecca Evans ◽  
Harriet Makin ◽  
Richard Cooke ◽  
Andrew Jones
2020 ◽  
Author(s):  
Gabrielle Humphreys ◽  
Rebecca Evans ◽  
Harriet Makin ◽  
Laura Bijkerk ◽  
Richard Cooke ◽  
...  

BACKGROUND Completely online interventions are thought to overcome barriers to treatment, such as accessibility and geographical location, that can undermine the effectivness of traditional face-to-face interventions. Due to these features, researchers are increasingly testing the efficacy of online interventions as ways to reduce alcohol misuse, emotional eating and gambling. However, many online interventions have poorly defined mechanisms of action, meaning it is often uncertain how they propose to bring about behaviour change. OBJECTIVE The systematic review aimed to identify effective Behaviour Change Techniques (BCTs) present in online interventions which aimed to reduce alcohol consumption, emotional eating, or gambling. METHODS The systematic review covered research conducted in the last 20 years. Inclusion criteria for interventions were (1) online administration (2) target alcohol use, emotional eating and/or gambling and (3) report baseline and post-intervention mesures of behaviour. PRISMA guidelines were followed. We coded intervention effectiveness, study quality and BCTs present in the interventions. RESULTS Following removal of 4,152 ineligible articles, 45 were included in the review: 32 targeted alcohol misuse; six for emotional eating; seven for gambling. The five most commonly used BCTs present across interventions were identified. When intervention success and study quality were controlled for, results differed slightly. Results from all frequency counts were integrated to identify seven commonly used BCTs. These BCTs were Problem solving, Feedback on behaviour, Self-monitoring of behaviour, Self-monitoring of outcomes, Instruction on how to perform a behaviour, Information about social and health consequences and Social comparison. CONCLUSIONS This systematic review identified seven of the most frequently used behaviour change techniques used in online interventions focused on alcohol misuse, emotional eating and gambling interventions. These results can inform the development of evidence-based e-health interventions which have the potential to lead to effective, positive behaviour change in all three areas.


Addiction ◽  
2012 ◽  
Vol 107 (8) ◽  
pp. 1431-1440 ◽  
Author(s):  
Susan Michie ◽  
Craig Whittington ◽  
Zainab Hamoudi ◽  
Feri Zarnani ◽  
Gillian Tober ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 612
Author(s):  
Jana Sremanakova ◽  
Anne Marie Sowerbutts ◽  
Chris Todd ◽  
Richard Cooke ◽  
Sorrel Burden

Background: An increasing number of dietary interventions for cancer survivors have been based on the behaviour change theory framework. The purpose of this study is to review the use and implementation of behaviour change theories in dietary interventions for people after cancer and assess their effects on the reported outcomes. Methods: The search strategy from a Cochrane review on dietary interventions for cancer survivors was expanded to incorporate an additional criterion on the use of behaviour change theory and updated to September 2020. Randomised controlled trials (RCT) testing a dietary intervention compared to the control were included. Standard Cochrane methodological procedures were used. Results: Nineteen RCTs, with 6261 participants (age range 44.6 to 73.1 years), were included in the review. The Social Cognitive Theory was the most frequently used theory (15 studies, 79%). Studies included between 4 to 17 behaviour change techniques. Due to limited information on the mediators of intervention and large heterogeneity between studies, no meta-analyses was conducted to assess which theoretical components of the interventions are effective. Conclusions: Whilst researchers have incorporated behaviour change theories into dietary interventions for cancer survivors, due to inconsistencies in design, evaluation and reporting, the effect of theories on survivors’ outcomes remains unclear.


Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  

<b><i>Background:</i></b> Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. <b><i>The Project:</i></b> First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. <b><i>Impact:</i></b> The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Andrea M. Patey ◽  
Jeremy M. Grimshaw ◽  
Jill J. Francis

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.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
M. A. Arden ◽  
M. Hutchings ◽  
P. Whelan ◽  
S. J. Drabble ◽  
D. Beever ◽  
...  

Abstract Background Cystic fibrosis (CF) is a life-limiting genetic condition in which daily therapies to maintain lung health are critical, yet treatment adherence is low. Previous interventions to increase adherence have been largely unsuccessful and this is likely due to a lack of focus on behavioural evidence and theory alongside input from people with CF. This intervention is based on a digital platform that collects and displays objective nebuliser adherence data. The purpose of this paper is to identify the specific components of an intervention to increase and maintain adherence to nebuliser treatments in adults with CF with a focus on reducing effort and treatment burden. Methods Intervention development was informed by the Behaviour Change Wheel (BCW) and person-based approach (PBA). A multidisciplinary team conducted qualitative research to inform a needs analysis, selected, and refined intervention components and methods of delivery, mapped adherence-related barriers and facilitators, associated intervention functions and behaviour change techniques, and utilised iterative feedback to develop and refine content and processes. Results Results indicated that people with CF need to understand their treatment, be able to monitor adherence, have treatment goals and feedback and confidence in their ability to adhere, have a treatment plan to develop habits for treatment, and be able to solve problems around treatment adherence. Behaviour change techniques were selected to address each of these needs and were incorporated into the digital intervention developed iteratively, alongside a manual and training for health professionals. Feedback from people with CF and clinicians helped to refine the intervention which could be tailored to individual patient needs. Conclusions The intervention development process is underpinned by a strong theoretical framework and evidence base and was developed by a multidisciplinary team with a range of skills and expertise integrated with substantial input from patients and clinicians. This multifaceted development strategy has ensured that the intervention is usable and acceptable to people with CF and clinicians, providing the best chance of success in supporting people with CF with different needs to increase and maintain their adherence. The intervention is being tested in a randomised controlled trial across 19 UK sites.


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