Opening the Black Box: Explaining the Process of Basing a Health Recommender System on the I-Change Behavioral Change Model

Recommender systems are gaining traction in healthcare because they can tailor recommendations based on users' feedback concerning their appreciation of previous health-related messages. However, recommender systems are often not grounded in behavioral change theories, which may further increase the effectiveness of their recommendations. This paper's objective is to describe principles for designing and developing a health recommender system grounded in the I-Change behavioral change model that shall be implemented through a mobile app for a smoking cessation support clinical trial. We built upon an existing smoking cessation health recommender system that delivered motivational messages through a mobile app. A group of experts assessed how the system may be improved to address the behavioral change determinants of the I-Change behavioral change model. The resulting system features a hybrid recommender algorithm for computer tailoring smoking cessation messages. A total of 331 different motivational messages were designed using 10 health communication methods. The algorithm was designed to match 58 message characteristics to each user pro le by following the principles of the I-Change model and maintaining the bene ts of the recommender system algorithms. The mobile app resulted in a streamlined version that aimed to improve the user experience, and this system's design bridges the gap between health recommender systems and the use of behavioral change theories. This article presents a novel approach integrating recommender system technology, health behavior technology, and computer-tailored technology. Future researchers will be able to build upon the principles applied in this case study.European Union's Horizon 2020 Research and Innovation Programme under Grant 68112

CoachAI: A Conversational Agent Assisted Health Coaching Platform

Poor lifestyle represents a health risk factor and is the leading cause of morbidity and chronic conditions. The impact of poor lifestyle can be significantly altered by individual behavior change. Although the current shift in healthcare towards a long lasting modifiable behavior, however, with increasing caregiver workload and individuals' continuous needs of care, there is a need to ease caregiver's work while ensuring continuous interaction with users. This paper describes the design and validation of CoachAI, a conversational agent assisted health coaching system to support health intervention delivery to individuals and groups. CoachAI instantiates a text based healthcare chatbot system that bridges the remote human coach and the users. This research provides three main contributions to the preventive healthcare and healthy lifestyle promotion: (1) it presents the conversational agent to aid the caregiver; (2) it aims to decrease caregiver's workload and enhance care given to users, by handling (automating) repetitive caregiver tasks; and (3) it presents a domain independent mobile health conversational agent for health intervention delivery. We will discuss our approach and analyze the results of a one month validation study on physical activity, healthy diet and stress management

Personalised feedback in the promotion of responsible gambling: a brief overview

Research into gambling has shown that irrational gambling-related cognitions linked to randomness and probabilities contribute to the initiation and maintenance of problematic gambling. A small body of empirical research has shown that educational programs about erroneous beliefs in gambling can successfully help change such cognitions. Studies have also shown that the way information is presented to gamblers is significant. Personalized behavioral feedback has been studied in many other areas outside of the gambling area (e.g., cigarette smoking). These examples from related areas suggest that behavioral feedback could also work in promoting responsible gambling. These approaches aim to change a person’s behavior via behavioral feedback. Such approaches are based on both the ‘stages of change’ model and motivational interviewing. Therefore, in order to change people’s gambling behavior using behavioral tracking data, player feedback should also be presented in a tailored and motivational way, and take into account the stages of change model

Waiting Room Health Promotion for Older Adults in Rural Primary Care

Background: Advances in health care technology have lead to adults living longer than in previous decades. Longer life expectancy in combination with the aging of the Baby Boomer generation is predicted to result in rapid and exponential growth among the older adult population. Adults in the U.S. over the age of 65 have on average five or more chronic illnesses, many of which are often poorly managed. Older adults who experience chronic diseases often report decreased quality of life, limitations in functional ability, loss of independence, and periods of decline and increasing disability. Health promotion efforts can help in delaying the onset of disability and preventing rapid decline associated with many chronic conditions. Purpose: The purpose of this project was to assess the effectiveness of the implementation of a brief waiting room health promotion activity that informs older adults about the benefits of walking, such as reducing the risk of chronic disease, improving mood, and maintaining weight, physical and cognitive function. This project took place at a federally qualified health center in Plainfield, Vermont. Methods: The target population for this educational intervention included patients, as well as family members and visitors to the primary care practice who were age 55 and older. All age-eligible participants were encouraged to participate regardless of health status or the presence of comorbid health conditions. The activity comprised of participants viewing a brief audiovisual educational activity explaining the health benefits of walking, supplemented with paper materials to support the health messages; the intervention was then followed by completion of a brief paper survey evaluation. Results: During the two-month period the health promotion activity was available, 56 individuals participated and completed the survey. Of the 56 participants, 87% indicated they either “strongly agreed” or “agreed” that watching the video increased knowledge about health-related benefits of walking. In total, approximately 73% of participants who participated in this health promotion activity agreed that they paid attention to educational materials in the waiting room setting. Approximately 57% of participants shared a health related goal that they created as a result of the health promotion activity. Conclusion: This project has suggested that implementation of waiting room health promotion activities, specifically for older adults, is a simple and cost-effective way to promote good health practices and provide patients with in-depth health care information that may not be addressed during the health care visit. Activities in the waiting room can help to supplement information provided during the clinical encounter, leaving patients more satisfied with their visits, and promoting positive behavior change

Do automated digital health behaviour change interventions have a positive effect on self-efficacy? A systematic review and meta-analysis

© 2019 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Health Psychology Review on 20/01/2020, available online: https://doi.org/10.1080/17437199.2019.1705873.Self-efficacy is an important determinant of health behaviour. Digital interventions are a potentially acceptable and cost-effective way of delivering programmes of health behaviour change at scale. Whether behaviour change interventions work to increase self-efficacy in this context is unknown. This systematic review and meta-analysis sought to identify whether automated digital interventions are associated with positive changes in self-efficacy amongst non-clinical populations for five major health behaviours, and which BCTs are associated with that change. A systematic literature search identified 20 studies (n=5624) that assessed changes in self-efficacy and were included in a random effects meta-analysis. Interventions targeted: healthy eating (k=4), physical activity (k=9), sexual behaviour (k=3), and smoking (k=4). No interventions targeting alcohol use were identified. Overall, interventions had a small, positive effect on self-efficacy (푔 = 0.190, CI [0.078; 0.303]). The effect of interventions on self-efficacy did not differ as a function of health behaviour type (Qbetween = 7.3704 p = 0.061, df = 3). Inclusion of the BCT ‘information about social and environmental consequences’ had a small, negative effect on self-efficacy (Δ푔= - 0.297, Q=7.072, p=0.008). Whilst this review indicates that digital interventions can be used to change self-efficacy, which techniques work best in this context is not clear.Peer reviewedFinal Accepted Versio

Comparing motivational, self-regulatory and habitual processes in a computer-tailored physical activity intervention in hospital employees - Protocol for the PATHS randomised controlled trial

Background: Most people do not engage in sufficient physical activity to confer health benefits and to reduce risk of chronic disease. Healthcare professionals frequently provide guidance on physical activity, but often do not meet guideline levels of physical activity themselves. The main objective of this study is to develop and test the efficacy of a tailored intervention to increase healthcare professionals' physical activity participation and quality of life, and to reduce work-related stress and absenteeism. This is the first study to compare the additive effects of three forms of a tailored intervention using different techniques from behavioural theory, which differ according to their focus on motivational, self-regulatory and/or habitual processes. Methods/Design: Healthcare professionals (N = 192) will be recruited from four hospitals in Perth, Western Australia, via email lists, leaflets, and posters to participate in the four group randomised controlled trial. Participants will be randomised to one of four conditions: (1) education only (non-tailored information only), (2) education plus intervention components to enhance motivation, (3) education plus components to enhance motivation and self-regulation, and (4) education plus components to enhance motivation, self-regulation and habit formation. All intervention groups will receive a computer-tailored intervention administered via a web-based platform and will receive supporting text-messages containing tailored information, prompts and feedback relevant to each condition. All outcomes will be assessed at baseline, and at 3-month follow-up. The primary outcome assessed in this study is physical activity measured using activity monitors. Secondary outcomes include: quality of life, stress, anxiety, sleep, and absenteeism. Website engagement, retention, preferences and intervention fidelity will also be evaluated as well as potential mediators and moderators of intervention effect. Discussion: This is the first study to examine a tailored, technology-supported intervention aiming to increase physical activity in healthcare professionals. The study will evaluate whether including additional theory-based behaviour change techniques aimed at promoting motivation, self-regulation and habit will lead to increased physical activity participation relative to information alone. The online platform developed in this study has potential to deliver efficient, scalable and personally-relevant intervention that can be translated to other occupational settings. Trial registration: Australian New-Zealand Clinical Trial Registry: ACTRN12616000462482, submitted 29/03/2016, prospectively registered 8/04/2016

Motivational considerations of mass media messages used to promote more physical activity and less sedentary behaviour what messages should be used?

Physical activity guidelines have become a focal point of mass media messages promoting physical activity to the adult population. Messages regarding sedentary behaviour have also emerged. Further, Chapter 3 identified knowledge of just 18% within a large sample of highly educated and employed UK adults. Of concern is the further finding that knowledge is likely to be higher within this group than within the general population and many groups within society may therefore have even lower knowledge. As many individuals are seemingly not likely to know the current physical activity guidelines, disseminating messages to promote them appears to be a reasonable strategy. However, Chapter 1 of this thesis highlighted the lack of research investigating the efficacy of messages designed around physical activity guidelines. Chapters 4, 5 and 6 began to explore some of the possible motivational implications of messages prominent in mass media campaigns promoting physical activity guidelines. Chapter 4 describes a cross-sectional study which compared the effects of messages using the threshold of 150 minutes a week with a generic message on perceived benefits of physical activity. Messages were representative of those found in mass media campaigns. Those receiving a threshold message held significantly less positive views of the benefits of physical activity at durations below 150 minutes a week. While a threshold message may be motivationally damaging in certain contexts, they tend not to be provided in isolation. Intensity of physical activity i.e. moderate-to-vigorous (MVPA) is another key aspect of physical activity guidelines featured in mass media campaigns. Subsequently, Chapter 5 employed an online survey of highly educated adults to investigate associations between threshold and generic messages describing MVPA as either walking or using a physiological description, with motivational constructs. Interestingly, the message incorporating a threshold was motivationally advantageous when MVPA was described as walking. On the other hand, inactive adults tend to overestimate their physical activity with walking behaviour being serially overestimated. This could result in reduced motivation to engage in MVPA. The influence of regular walking speed on misperceptions was therefore investigated in Chapter 6. Further, accurate knowledge of physical activity requirements has been theorised to reduce misperceptions. Chapter 6 reports findings that regularly slow walkers are more likely to overestimate their physical activity levels while knowledge of guidelines has no effect. This leaves a complex picture of the motivational qualities of messages promoting physical activity guidelines. Finally, Chapter 7 describes a content analysis which broadens the investigation of mass media messages by scrutinising the introduction of messages promoting reductions in sedentary behaviour. Sticking closely to guidelines, combining messages on sedentary behaviour with those on physical activity, the relative omission of standing and the demonisation of sitting emerged as common themes. This thesis highlights the problem of low knowledge of physical activity guidelines within a sample of UK adults and points towards a lack of evidence-based messaging. With knowledge being low, the provision of a threshold is desirable on an informational level. The provision of walking as an exemplar appears to make the threshold more amenable, however, for inactive adults the use of this exemplar in messages may lead to overestimation of physical activity and decrease motivation. Clearly, the motivational implications of these messages are complex and require further investigation

A systematic review of digital interventions for improving the diet and physical activity behaviors of adolescents

Many adolescents have poor diet and physical activity behaviors, which can lead to the development of noncommunicable diseases in later life. Digital platforms offer inexpensive means of delivering health interventions, but little is known about their effectiveness. This systematic review was conducted to synthesize evidence on the effectiveness of digital interventions to improve diet quality and increase physical activity in adolescents, to effective intervention components and to assess the cost-effectiveness of these interventions. Following a systematic search, abstracts were assessed against inclusion criteria, and data extraction and quality assessment were performed for included studies. Data were analyzed to identify key features that are associated with significant improvement in behavior. A total of 27 studies met inclusion criteria. Most (n = 15) were Web site interventions. Other delivery methods were text messages, games, multicomponent interventions, emails, and social media. Significant behavior change was often seen when interventions included education, goal setting, self-monitoring, and parental involvement. None of the publications reported cost-effectiveness. Due to heterogeneity of studies, meta-analysis was not feasible.It is possible to effect significant health behavior change in adolescents through digital interventions that incorporate education, goal setting, self-monitoring, and parental involvement. Most of the evidence relates to Web sites and further research into alternate media is needed, and longer term outcomes should be evaluated. There is a paucity of data on the cost-effectiveness of digital health interventions, and future trials should report these data