Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study

A socio-ecological lens to segmenting adult's eating behaviour

Background: The increasing levels of overweight and obesity are negatively impacting the health and wellbeing of individuals and communities. Whilst individual factors are important, the prevalence of overweight and obesity is partly caused by several social and environmental factors that can potentially be modified. A limited number of studies apply a broader theoretical lens to expand the focus beyond individual factors targeted for change. Furthermore, many interventions take a one-size-fits-all approach, which overlooks the differences between subgroups of the population, such as gender, which has a significant impact on eating habits. Aim: This study aims to identify avenues to increase healthy eating by accommodating a wider theory-based socio-ecological viewpoint for change. Additionally, the theory-based socio-ecological lens was applied to identify if segments can be revealed, enabling tailored strategies to be developed to better meet the needs of segments. Methods: A male-dominated sample of n = 3044 Australians was sourced through CINT an online consumer panel provider. Participation was anonymous and voluntary, and consent to participate was indicated by the completion of the survey. Results: Three segments were identified with Socio-Economic Index For Individuals, being the most influential variable differentiating the segments. The most socio-economically advantaged segment (M = 3.7, SD = 0.7) had the highest diet quality score (79.7) while the least advantaged (M = 0.3, SD = 1.4) scored the lowest (67.1). Conclusion: This study confirms the suitability and usefulness of theory-driven segmentation in the development of eating behaviour programs for Australian adults. More effective interventions are required given overweight and obesity levels among this population are increasing.

Streamlining COM-B model: Insights from the Healthy Eating Context

The global rise in diet-related diseases highlights the urgent need for effective behavioural interventions. While theoretical frameworks like the Capability, Opportunity, Motivation-Behaviour (COM-B) model are valuable for understanding and influencing healthy eating behaviours, their practical application is often hindered by complexity and extensive measurement demands. This study addresses these challenges by testing a simplified version of the COM-B model, focusing on a select set of items representing seven core constructs. We conducted a cross-sectional survey with 347 Australian young adults to validate this streamlined model, making it more accessible for researchers and practitioners. Our findings underscore the importance of automatic motivation, the physical environment, and physical capability as critical factors in promoting healthy eating behaviours. By simplifying the COM-B model, this research contributes to developing more practical and effective strategies for healthier eating, addressing a critical public health issue.

Therapies go digital. What drives physicians' acceptance?

National healthcare systems face multiple challenges, including the increasing demand for care and decreasing availability of healthcare professionals. Digital health technologies represent opportunities that offer improved efficiency, accessibility, and patient care. In this scenario, Digital Therapeutics are technological advancements to treat or alleviate a disease and deliver a medical intervention with evidence-based therapeutic impacts and regulatory approval. Digital Therapeutics are a paradigm shift for physicians, who exercise caution in terms of trust and wide usage. Digital Therapeutics represents an opportunity and a challenge in healthcare system integration. The research investigates the factors explaining physicians' acceptance of Digital Therapeutics. A research model that combines organizational mechanisms derived from Institutional Theory and rational factors derived from the Technology Acceptance model was developed. The model was tested through 107 responses from a survey distributed to the members of the leading Italian scientific society in Diabetology. Literature-based hypotheses were empirically tested through Structural Equation Modelling. The analysis confirmed the influence of Perceived Ease of Use on Perceived Usefulness and Perceived Usefulness on the Intention To Use Digital Therapeutics. Rules and norms impact Perceived Usefulness when considering the influence of the scientific society. Culture and mindset towards innovation within the hospital positively affect Perceived Ease of Use. The readiness of hospital facilities enhances the extent to which physicians perceive the ease of employing Digital Therapeutics in their daily practice. Instead, esteemed colleagues' opinions and guidelines from the scientific society reveal to physicians the value of Digital Therapeutics in patients' care pathways. Institutions should prioritize cultural, normative, and regulative aspects to accelerate physicians' endorsement of Digital Therapeutics. Findings advance the theoretical knowledge around clinicians' adoption of innovative digital health technologies, unveiling the interaction between rational and institutional factors. The results highlight practical implications for healthcare institutions and Digital Therapeutics manufacturers willing to promote their adoption.

Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review

BACKGROUND

Wearable devices, mobile technologies, and their combination have been accepted into clinical use to better assess the physical fitness and quality of life of patients and as preventive measures. Usability is pivotal for overcoming constraints and gaining users' acceptance of technology such as wearables and their companion mobile health (mHealth) apps. However, owing to limitations in design and evaluation, interactive wearables and mHealth apps have often been restricted from their full potential.

OBJECTIVE

This study aims to identify studies that have incorporated wearable devices and determine their frequency of use in conjunction with mHealth apps or their combination. Specifically, this study aims to understand the attributes and evaluation techniques used to evaluate usability in the health care domain for these technologies and their combinations.

METHODS

We conducted an extensive search across 4 electronic databases, spanning the last 30 years up to December 2021. Studies including the keywords "wearable devices," "mobile apps," "mHealth apps," "physiological data," "usability," "user experience," and "user evaluation" were considered for inclusion. A team of 5 reviewers screened the collected publications and charted the features based on the research questions. Subsequently, we categorized these characteristics following existing usability and wearable taxonomies. We applied a methodological framework for scoping reviews and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist.

RESULTS

A total of 382 reports were identified from the search strategy, and 68 articles were included. Most of the studies (57/68, 84%) involved the simultaneous use of wearables and connected mobile apps. Wrist-worn commercial consumer devices such as wristbands were the most prevalent, accounting for 66% (45/68) of the wearables identified in our review. Approximately half of the data from the medical domain (32/68, 47%) focused on studies involving participants with chronic illnesses or disorders. Overall, 29 usability attributes were identified, and 5 attributes were frequently used for evaluation: satisfaction (34/68, 50%), ease of use (27/68, 40%), user experience (16/68, 24%), perceived usefulness (18/68, 26%), and effectiveness (15/68, 22%). Only 10% (7/68) of the studies used a user- or human-centered design paradigm for usability evaluation.

CONCLUSIONS

Our scoping review identified the types and categories of wearable devices and mHealth apps, their frequency of use in studies, and their implementation in the medical context. In addition, we examined the usability evaluation of these technologies: methods, attributes, and frameworks. Within the array of available wearables and mHealth apps, health care providers encounter the challenge of selecting devices and companion apps that are effective, user-friendly, and compatible with user interactions. The current gap in usability and user experience in health care research limits our understanding of the strengths and limitations of wearable technologies and their companion apps. Additional research is necessary to overcome these limitations.

Facilitators and barriers to behavior change in overweight and obesity management using the COM-B model

Introduction

Increasing overweight and obesity rates represent one of the global public health challenges. COM-B is a theoretical model used to identify areas to target to achieve behavior change. It identifies three factors that are needed for any behavior to occur: capability, opportunity, and motivation. We aimed to assess the potential facilitators and barriers to behavior change in weight management using the COM-B.

Methods

The study included 139 people with overweight and obesity (mean age 48.81 ± 14.49 years; 64.5% female; body mass index 32.64 ± 6.51 kg/m2; waist-to-height ratio 0.62 ± 0.10) from primary care settings. All participants completed the Brief Measure of Behavior Change (COM-B), the General Self-Efficacy Scale (GSE), the Rosenberg Self-esteem Scale (RSE), and the Overall Evaluation of Health (OEH). Multiple linear regression was performed to analyse the data.

Results

The associations between sociodemographic and clinical variables and COM-B domains attenuated or were no longer significant when psychological resources were added to the regression models. Self-efficacy was identified as a stronger facilitator of health behavior change (p < 0.001) when compared to self-esteem (p < 0.05). No associations between automatic motivation and psychological resources were identified, however. Automatic motivation was found to be associated with higher age, being in a relationship, and better health.

Discussion

Behavioral interventions for weight management should specifically target different components of COM-B. Self-efficacy and self-esteem may play a significant role in individual capabilities, opportunities, and reflective motivation and should be included in tailored public health interventions. Health programs targeting younger and single people, and people with chronic conditions may help to promote sustainable behavior change.

Training Australian Dietitians in Behavior Change Techniques Through Educational Workshops: Protocol for a Randomized Controlled Trial

BACKGROUND

The use of education alone as a technique to change behavior in interventions is usually insufficient, particularly in health interventions. Behavior change techniques have been shown to be effective in fostering positive changes in health behaviors such as diet and physical activity. The upskilling of health professionals can increase perceived capability and motivation toward eliciting change in clients' behaviors. However, to date, dietitians have received limited training in behavior change and have expressed a need for continuous professional development.

OBJECTIVE

The study objectives are to (1) develop and evaluate the effectiveness and acceptability of two 2-hour behavior change workshops on changing dietitians behavior (ie, range of behavior change techniques used and frequency of use) across 3 time points; (2) determine if participation in these workshops will elicit changes in dietitians' perceived capability, opportunity, and motivation toward using behavior change techniques; and (3) determine the acceptability of the training and its application in practice by dietitians.

METHODS

We will recruit registered dietitians (N=140) in Australia to participate in this randomized controlled trial. Participants will be randomly assigned to either the intervention or 3-month waitlist control condition and complete outcome measures at 3 time points: baseline, after the workshop, and follow-up at 3 months. Both groups will complete 2 workshops on behavior change that are guided by the COM-B (Capability, Opportunity, Motivation, and Behavior) Model and embedded with behavior change techniques. The primary outcome is changes in behavior, (ie, the range of behavior change techniques used and their frequency of use). Secondary outcomes include changes in perceived capability, opportunity, motivation, and preparedness as a health professional toward delivering behavior change techniques. The acceptability of the workshops will also be assessed after the workshop through the postworkshop survey and semistructured interviews. A series of 2-way repeated measures ANOVAs and regressions will be used. Qualitative data will be analyzed using thematic analysis.

RESULTS

Participant recruitment commenced in June 2023. The results of the study are expected to be published in November 2024. The results will allow us to assess comparisons between the intervention and waitlist control groups, as well as changes in perceived capability, opportunity, motivation, and preparedness over a 3-month period. It will also provide an understanding of the acceptability of the training as a form of continuous professional development for dietitians.

CONCLUSIONS

If found to be effective, the results of this 2-arm randomized controlled trial will guide future training and continuous professional development for health professionals in changing behavior in practice. Our findings will contribute to our understanding of the application of behavior change techniques in practice with clients and identify components of COM-B where dietitians may need future support.

TRIAL REGISTRATION

ACTRN12623000525684; https://www.anzctr.org.au/ACTRN12623000525684.aspx.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/49723.

Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data

Mobile health applications, which employ wireless technology for healthcare, can aid behaviour change and subsequently improve health outcomes. Mobile health applications have been developed to increase physical activity, but are rarely grounded on behavioural theory and employ simple techniques for personalisation, which has been proven effective in promoting behaviour change. In this work, we propose a theoretically driven and personalised behavioural intervention delivered through an adaptive knowledge-based system. The behavioural system design is guided by the Behavioural Change Wheel and the Capability-Opportunity-Motivation behavioural model. The system exploits the ever-increasing availability of health data from wearable devices, point-of-care tests and consumer genetic tests to issue highly personalised physical activity and sedentary behaviour recommendations. To provide the personalised recommendations, the system firstly classifies the user into one of four diabetes clusters based on their cardiometabolic profile. Secondly, it recommends activity levels based on their genotype and past activity history, and finally, it presents the user with their current risk of developing cardiovascular disease. In addition, leptin, a hormone involved in metabolism, is included as a feedback biosignal to personalise the recommendations further. As a case study, we designed and demonstrated the system on people with type 2 diabetes, since it is a chronic condition often managed through lifestyle changes, such as physical activity increase and sedentary behaviour reduction. We trained and simulated the system using data from diabetic participants of the UK Biobank, a large-scale clinical database, and demonstrate that the system could help increase activity over time. These results warrant a real-life implementation of the system, which we aim to evaluate through human intervention.

Behavior Change Training for Health Professionals: Evaluation of a 2-Hour Workshop

Background

Rates of noncommunicable diseases continue to rise worldwide. Many of these diseases are a result of engaging in risk behaviors. Without lifestyle and behavioral intervention, noncommunicable diseases can worsen and develop into more debilitating diseases. Behavioral interventions are an effective strategy to reduce the burden of disease. Behavior change techniques can be described as the “active ingredients” in behavior change and address the components that need to be altered in order for the target behavior to change. Health professionals, such as pharmacists and nurses, can engage in opportunistic behavior change with their patients, to encourage positive health behaviors.

Objective

We aimed to develop, implement, and evaluate a behavior change workshop targeted at health professionals in Australia, with the goal of increasing knowledge of behavior change techniques and psychological variables.

Methods

A prospective study design was used to develop and evaluate a 2-hour behavior change workshop targeted at health professionals. The workshop was developed based on the Capability, Opportunity, Motivation, and Behavior Model and had five core objectives: (1) to detail the role of health professionals in delivering optimal care, (2) to demonstrate opportunities to change behavior, (3) to describe principles of behavior change, (4) to explain behavior change techniques, and (5) to determine the most appropriate behavior change techniques to use and when to use them. A total of 10 workshops were conducted. To evaluate the workshops and identify any potential long-term changes in behavior, we collected pre- and postworkshop data on knowledge and psychological constructs from the attendees.

Results

A final sample of 41 health professionals comprising general practitioners, nurses, and pharmacists completed the pre- and postworkshop surveys. Following the workshops, there were significant improvements in knowledge of behavior change techniques (t40=–5.27, P<.001), subjective norms (t40=–3.49, P=.001), descriptive norms (t40=–3.65, P<.001), perceived behavioral control (t40=–3.30, P=.002), and intention (t36=–3.32, P=.002); each had a large effect size. There was no significant difference in postworkshop attitude (t40=0.78, P=.44). The participants also found the workshops to be highly acceptable.

Conclusions

A 2-hour, theoretically informed workshop designed to facilitate the use of behavior change techniques by health professionals was shown to be largely effective. The workshops resulted in increases in knowledge, descriptive and subjective norms, perceived behavioral control, and intention, but not in attitude. The intervention was also shown to be highly acceptable, with the large majority of participants deeming the intervention to be needed, useful, appropriate, and applicable, as well as interesting and worth their time. Future research should examine the lasting impacts of the workshop on health professionals’ practices.