scholarly journals A scoping review of social‐behaviour change techniques applied in complementary feeding interventions

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Aimee Webb Girard ◽  
Emma Waugh ◽  
Sarah Sawyer ◽  
Lenette Golding ◽  
Usha Ramakrishnan
Keyword(s):  
Behaviour Change ◽  
Scoping Review ◽  
Social Behaviour ◽  
Complementary Feeding ◽  
Behaviour Change Techniques ◽  
Feeding Interventions

Using Insights from Behavioural Science and Design Thinking to Develop mHealth Interventions: a Systematic Scoping Review (Preprint)

2022 ◽  
Author(s):  
Paula Voorheis ◽  
Albert Zhao ◽  
Kerry Kuluski ◽  
Quynh Pham ◽  
Ted Scott ◽  
...  
Keyword(s):  
Behaviour Change ◽  
Design Process ◽  
Scoping Review ◽  
Design Thinking ◽  
Design Science ◽  
Data Extraction ◽  
Descriptive Analysis ◽  
Future Research ◽  
Behaviour Change Techniques ◽  
Behavioural Science

BACKGROUND Mobile health (mHealth) interventions are increasingly being designed to facilitate health-related behaviour change. Integrating insights from behavioural science and design science can help support the development of more effective mHealth interventions. Behavioural Design (BD) and Design Thinking (DT) have emerged as best practice approaches in their respective fields. Until now, little work has been done to examine how BD and DT can be integrated throughout the mHealth design process. OBJECTIVE The aim of this scoping review was to map the evidence on how insights from BD and DT can be integrated to guide the design of mHealth interventions. The following questions were addressed: (1) what are the main characteristics of studies that integrate BD and DT during the mHealth design process? (2) what approaches do mHealth design teams use to integrate BD and DT during the mHealth design process? (3) what are key implementation considerations, design challenges, and future directions for integrating BD and DT during mHealth design? METHODS We identified relevant studies from MEDLINE, PSYCINFO, EMBASE, CINAHL and JMIR using search terms related to mHealth, behavioural design, and design thinking. Included articles had to clearly describe their mHealth design process and how behaviour change theories, models, frameworks, or techniques were incorporated. Two independent reviewers screened articles for inclusion and completed the data extraction. A descriptive analysis was conducted. RESULTS A total of 75 articles met the inclusion criteria. All studies were published between 2012 and 2021. Studies integrated BD and DT in notable ways, which we refer to as “Behavioural Design Thinking”. Five steps were followed in the “Behavioural Design Thinking” approach: (1) empathise with users and their behaviour change needs, (2) define user and behaviour change requirements, (3) ideate user-centred features and behaviour change content, (4) prototype a user-centred solution that supports behaviour change, (5) test the solution against users’ needs and for its behaviour change potential. Key challenges experienced during mHealth design included meaningfully engaging patient and public partners in the design process, translating evidence-based behaviour change techniques into actual mHealth features, and planning for how to integrate the mHealth intervention into existing clinical systems. Guidance is needed on how to conduct the design process itself, how to meaningfully engage key stakeholders, and how to operationalize behaviour change techniques in a user-friendly and context-specific way. CONCLUSIONS Best practices from BD and DT can be integrated throughout the mHealth design process to ensure that mHealth interventions are purposefully developed to effectively engage users. Although this scoping review clarified how insights from BD and DT could be integrated during mHealth design, future research is needed to identify the most effective design approaches. CLINICALTRIAL n/a

scholarly journals Systematic Review of Behaviour Change Theories Implementation in Dietary Interventions for People Who Have Survived Cancer

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 612
Author(s):  
Jana Sremanakova ◽  
Anne Marie Sowerbutts ◽  
Chris Todd ◽  
Richard Cooke ◽  
Sorrel Burden
Keyword(s):  
Cancer Survivors ◽  
Behaviour Change ◽  
Cognitive Theory ◽  
Dietary Intervention ◽  
Cochrane Review ◽  
Change Theory ◽  
Behaviour Change Techniques ◽  
Limited Information ◽  
Dietary Interventions ◽  
Behaviour Change Theory

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.

scholarly journals Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  
Keyword(s):  
Weight Loss ◽  
Behaviour Change ◽  
Digital Health ◽  
Self Regulation ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Evidence Based ◽  
Behavioural Science ◽  
Digital Architecture

<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.

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 Development of an intervention to increase adherence to nebuliser treatment in adults with cystic fibrosis: CFHealthHub

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
M. A. Arden ◽  
M. Hutchings ◽  
P. Whelan ◽  
S. J. Drabble ◽  
D. Beever ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Development Strategy ◽  
Treatment Adherence ◽  
Behaviour Change ◽  
Multidisciplinary Team ◽  
Treatment Plan ◽  
Controlled Trial ◽  
Intervention Development ◽  
Evidence Base ◽  
Behaviour Change Techniques

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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