Theory-based strategies for enhancing the impact and usage of digital health behaviour change interventions: A review

A national evaluation of a multi-modal, blended, digital intervention integrated within Australian youth mental health services

BACKGROUND

Youth mental health (YMH) services have been established internationally to provide timely, age-appropriate, mental health treatment and improve long-term outcomes. However, YMH services face challenges including long waiting times, limited continuity of care, and time-bound support. To bridge this gap, MOST was developed as a scalable, blended, multi-modal digital platform integrating real-time and asynchronous clinician-delivered counselling; interactive psychotherapeutic content; vocational support; peer support, and a youth-focused online community. The implementation of MOST within Australian YMH services has been publicly funded.

OBJECTIVE

The primary aim of this study was to evaluate the real-world engagement, outcomes, and experience of MOST during the first 32 months of implementation.

METHOD

Young people from participating YMH services were referred into MOST. Engagement metrics were derived from platform usage. Symptom and satisfaction measures were collected at baseline, 6, and 12 (primary endpoint) weeks. Effect sizes were calculated for the primary outcomes of depression and anxiety and secondary outcomes of psychological distress and wellbeing.

RESULTS

Five thousand seven hundred and two young people from 262 clinics signed up and used MOST at least once. Young people had an average of 19 login sessions totalling 129 min over the first 12 weeks of use, with 71.7% using MOST for at least 14 days, 40.1% for 12 weeks, and 18.8% for 24 weeks. There was a statistically significant, moderate improvement in depression and anxiety at 12 weeks as measured by the PHQ4 across all users irrespective of treatment stage (d = 0.41, 95% CI 0.35-0.46). Satisfaction levels were high, with 93% recommending MOST to a friend. One thousand one hundred and eighteen young people provided written feedback, of which 68% was positive and 31% suggested improvement.

CONCLUSIONS

MOST is a highly promising blended digital intervention with potential to address the limitations and enhance the impact of YMH services.

Exploring the benefits and costs of a growth mindset in a digital app weight management program

We explored the potential benefits and costs of believing one can change their weight (i.e. growth mindset) in the context of a digital weight management program. We investigated mechanisms by which growth mindsets relate to weight loss achievement and body shame. Among participants seeking to lose weight (N = 1626; 74.7% female; 77.9% White; Mage = 45.7), stronger growth mindsets indirectly predicted greater weight loss achievement through positive offset expectations and subsequent increased program engagement. Additionally, stronger growth mindsets predicted less body shame through positive offset expectations but predicted more body shame through increased onset responsibility, replicating the double-edged sword model of growth mindsets. We conclude with applications that leverage growth mindsets for optimal behavior change while mitigating costs such as body shame.

A Smartphone App to Support Self-Management for People Living With Sjögren's Syndrome: Qualitative Co-Design Workshops

BACKGROUND

Sjögren's syndrome (SS) is the second most common autoimmune rheumatic disease, and the range of symptoms includes fatigue, dryness, sleep disturbances, and pain. Smartphone apps may help deliver a variety of cognitive and behavioral techniques to support self-management in SS. However, app-based interventions must be carefully designed to promote engagement and motivate behavior change.

OBJECTIVE

We aimed to explore self-management approaches and challenges experienced by people living with SS and produce a corresponding set of design recommendations that inform the design of an engaging, motivating, and evidence-based self-management app for those living with SS.

METHODS

We conducted a series of 8 co-design workshops and an additional 3 interviews with participants who were unable to attend a workshop. These were audio recorded, transcribed, and initially thematically analyzed using an inductive approach. Then, the themes were mapped to the Self-Determination Theory domains of competency, autonomy, and relatedness.

RESULTS

Participants experienced a considerable demand in the daily work required in self-managing their SS. The condition demanded unrelenting, fluctuating, and unpredictable mental, physical, and social efforts. Participants used a wide variety of techniques to self-manage their symptoms; however, their sense of competency was undermined by the complexity and interconnected nature of their symptoms and affected by interactions with others. The daily contexts in which this labor was occurring revealed ample opportunities to use digital health aids. The lived experience of participants showed that the constructs of competency, autonomy, and relatedness existed in a complex equilibrium with each other. Sometimes, they were disrupted by tensions, whereas on other occasions, they worked together harmoniously.

CONCLUSIONS

An SS self-management app needs to recognize the complexity and overlap of symptoms and the complexities of managing the condition in daily life. Identifying techniques that target several symptoms simultaneously may prevent users from becoming overwhelmed. Including techniques that support assertiveness and communication with others about the condition, its symptoms, and users' limitations may support users in their interactions with others and improve engagement in symptom management strategies. For digital health aids (such as self-management apps) to provide meaningful support, they should be designed according to human needs such as competence, autonomy, and relatedness. However, the complexities among the 3 Self-Determination Theory constructs should be carefully considered, as they present both design difficulties and opportunities.

Evaluating an interactive tool that reasons about quality of life to support life planning by older people

Objectives

In response to the lack of digital support for older people to plan their lives for quality of life, research was undertaken to co-design and then evaluate a new digital tool that combined interactive guidance for life planning with a computerised model of quality of life.

Method

First, a workshop-based process for co-designing the SCAMPI tool with older people is reported. A first version of this tool was then evaluated over eight consecutive weeks by nine older people living in their own homes. Four of these people were living with Parkinson's disease, one with early-stage dementia, and four without any diagnosed chronic condition. Regular semi-structured interviews were undertaken with each individual older person and, where wanted, their life partner. A more in-depth exit interview was conducted at the end of the period of tool use. Themes arising from analyses of content from these interviews were combined with first-hand data collected from the tool's use to develop a description of how each older person used the tool over the 8 weeks.

Results

The findings provided the first evidence that the co-designed tool, and in particular the computerised model, could offer some value to older people. Although some struggled to use the tool as it was designed, which led to limited uptake of the tool's suggestions, the older people reported factoring these suggestions into their longer-term planning, as health and/or circumstances might change.

Conclusions

The article contributes to the evolving discussion about how to deploy such digital technologies to support quality of life more effectively.

"Simply complicated": Uncovering the processes of lifestyle behavior change among college and university students with access to a digital multiple lifestyle intervention

Background

One approach to promoting healthy lifestyle behaviors is to target students with digital interventions. One of these is the digital intervention Buddy. This study aimed to understand why college and university students' chose to participate in a digital multiple lifestyle behavior intervention trial (Buddy), and their subsequent experiences of the behavior-change process.

Methods

College and university students taking part in a trial of the Buddy intervention were individually interviewed after completing the 4-month intervention. Participants were guided to narrate their experiences and actions that followed signing up. Altogether, 50 interviews were conducted via telephone. The verbatim transcribed texts were analyzed qualitatively.

Results

The analysis generated seven personas, which illustrated the students' different levels of engagement with the intervention and the behavior-change process. These were: the Occupied, the Kickstarter, the Aimless, the Reflective, the Goal-oriented, the Compliant, and the Personally developed. Buddy worked best for students who had clear ideas about what they wanted to change and why, and who were aware of their needs, and those who could translate information and reflection into action and had the mental and physical energy needed to make changes.

Conclusions

The progress of behavior change depends on the interaction between the digital mode of delivery, the intervention materials of Buddy, the individual's expectations, needs, and skills, and their current life situation. This suggests that designing lifestyle interventions could benefit from more often considering the various personas' different intentions, knowledge, and contexts. By doing so, interventions are likely to emerge that can better match different needs in the target population.

The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis

BACKGROUND

Digital health interventions (DHIs) are effective in improving poor nutrition, physical inactivity, overweight and obesity. There is evidence suggesting that the impact of DHIs may be enhanced by improving user engagement. However, little is known about the overall effectiveness of strategies on engagement with DHIs.

OBJECTIVE

This study aims to assess the overall effectiveness of strategies to improve engagement with DHIs targeting nutrition, physical activity, and overweight or obesity and explore associations between strategies and engagement outcomes. The secondary aim was to explore the impact of these strategies on health risk outcomes.

METHODS

The MEDLINE, Embase, PsycINFO, CINAHL, CENTRAL, Scopus, and Academic Source Complete databases were searched up to July 24, 2023. Eligible studies were randomized controlled trials that evaluated strategies to improve engagement with DHIs and reported on outcomes related to DHI engagement (use or user experience). Strategies were classified according to behavior change techniques (BCTs) and design features (eg, supplementary emails). Multiple-variable meta-analyses of the primary outcomes (usage and user experience) were undertaken to assess the overall effectiveness of strategies. Meta-regressions were conducted to assess associations between strategies and use and user experience outcomes. Synthesis of secondary outcomes followed the "Synthesis Without Meta-Analysis" guidelines. The methodological quality and evidence was assessed using the Cochrane risk-of-bias tool, and the Grading of Recommendations Assessment, Development, and Evaluation tool respectively.

RESULTS

Overall, 54 studies (across 62 publications) were included. Pooled analysis found very low-certainty evidence of a small-to-moderate positive effect of the use of strategies to improve DHI use (standardized mean difference=0.33, 95% CI 0.20-0.46; P<.001) and very low-certainty evidence of a small-to-moderate positive effect on user experience (standardized mean difference=0.29, 95% CI 0.07-0.52; P=.01). A significant positive association was found between the BCTs social support (effect size [ES]=0.40, 95% CI 0.14-0.66; P<.001) and shaping knowledge (ES=0.39, 95% CI 0.03-0.74; P=.03) and DHI use. A significant positive association was found among the BCTs social support (ES=0.70, 95% CI 0.18-1.22; P=.01), repetition and substitution (ES=0.29, 95% CI 0.05-0.53; P=.03), and natural consequences (ES=0.29, 95% CI 0.05-0.53; P=.02); the design features email (ES=0.29, 95% CI 0.05-0.53; P=.02) and SMS text messages (ES=0.34, 95% CI 0.11-0.57; P=.01); and DHI user experience. For secondary outcomes, 47% (7/15) of nutrition-related, 73% (24/33) of physical activity-related, and 41% (14/34) of overweight- and obesity-related outcomes reported an improvement in health outcomes.

CONCLUSIONS

Although findings suggest that the use of strategies may improve engagement with DHIs targeting such health outcomes, the true effect is unknown because of the low quality of evidence. Future research exploring whether specific forms of social support, repetition and substitution, natural consequences, emails, and SMS text messages have a greater impact on DHI engagement is warranted.

TRIAL REGISTRATION

PROSPERO CRD42018077333; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=77333.

Supporting patients to prepare for total knee replacement: Evidence-, theory- and person-based development of a 'Virtual Knee School' digital intervention

INTRODUCTION

Digital delivery of pre-operative total knee replacement (TKR) education and prehabilitation could improve patient outcomes pre- and post-operatively. Rigorously developing digital interventions is vital to help ensure they achieve their intended outcomes whilst mitigating their potential drawbacks.

OBJECTIVE

To develop a pre-operative TKR education and prehabilitation digital intervention, the 'Virtual Knee School' (VKS).

METHODS

The VKS was developed using an evidence-, theory- and person-based approach. This involved a mixed methods design with four phases. The first three focused on planning the VKS. The final phase involved creating a VKS prototype and iteratively refining it through concurrent think-aloud interviews with nine patients who were awaiting/had undergone TKR. Meta-inferences were generated by integrating findings from all the phases. ISRCTN registration of the overall project was obtained on 24 April 2020 (ISRCTN11759773).

RESULTS

Most participants found the VKS prototype acceptable overall and considered it a valuable resource. Conversely, a minority of participants felt the prototype's digital format or content did not meet their individual needs. Participants' feedback was used to refine the prototype's information architecture, design and content. Two meta-inferences were generated and recommend: 1. Comprehensive pre-operative TKR education and prehabilitation support should be rapidly accessible in digital and non-digital formats. 2. Pre-operative TKR digital interventions should employ computer- and self-tailoring to account for patients' individual needs and preferences.

CONCLUSIONS

Integrating evidence, theory and stakeholders' perspectives enabled the development of a promising VKS digital intervention for patients awaiting TKR. The findings suggest future research evaluating the VKS is warranted and provide recommendations for optimising pre-operative TKR care.

PATIENT OR PUBLIC CONTRIBUTION

Patient and Public Involvement (PPI) was central throughout the project. For example, PPI representatives contributed to the project planning, were valued members of the Project Advisory Group, had key roles in developing the VKS prototype and helped disseminate the project findings.

High School Teachers' Experiences of Consumer Technologies for Stress Management During the COVID-19 Pandemic: Qualitative Study

BACKGROUND

Stress in education is an adverse reaction that teachers have to excessive pressures or other types of demands placed on them. Consumer digital technologies are already being used by teachers for stress management, albeit not in a systematic way. Understanding teachers' experiences and the long-term use of technologies to support stress self-management in the educational context is essential for meaningful insight into the value, opportunity, and benefits of use.

OBJECTIVE

The aim of this study was first to understand teachers' experiences of consumer technologies for stress management. They were chosen by teachers from a taxonomy tailored to their stress management. The second aim was to explore whether their experiences of use evolved over time as teachers transitioned from working at home during lockdown to working full time on school premises.

METHODS

A longitudinal study intended for 6 weeks in the summer term (2020) was extended because of COVID-19 into the autumn term, lasting up to 27 weeks. Teachers chose to use a Withings smartwatch or the Wysa, Daylio, or Teacher Tapp apps. In total, 2 semistructured interviews and web-based surveys were conducted with 8 teachers in South London in the summer term, and 6 (75%) of them took part in a third interview in the autumn term. The interviews were analyzed by creating case studies and conducting cross-case analysis.

RESULTS

The teachers described that the data captured or shared by the technology powerfully illustrated the physical and psychosocial toll of their work. This insight gave teachers permission to destress and self-care. The social-emotional confidence generated also led to empathy toward colleagues, and a virtuous cycle of knowledge, self-compassion, permission, and stress management action was demonstrated. Although the COVID-19 pandemic added a new source of stress, it also meant that teachers' stress management experiences could be contrasted between working from home and then back in school. More intentional self-care was demonstrated when back in school, sometimes without the need to refer to the data or technology.

CONCLUSIONS

The findings of this study demonstrate that taking a situated approach to understand the real-world, existential significance and value of data generates contextually informed insights. Where a strategic personal choice of consumer technology is enabled for high school heads of year, the data generated are perceived as holistic, with personal and professional salience, and are motivational in the educational context. Technology adoption was aided by the pandemic conditions of home working, and this flexibility would otherwise need workplace facilitation. These findings add to the value proposition of technologies for individual stress management and workforce health outcomes pertinent to educators, policy makers, and designers.

Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review

Introduction

Lack of engagement is a common challenge for digital health interventions. To achieve their potential, it is necessary to understand how best to support users' engagement with interventions and target health behaviors. The aim of this systematic review was to identify the behavioral theories and behavior change techniques being incorporated into mobile health apps and how they are associated with the different components of engagement.

Methods

The review was structured using the PRISMA and PICOS frameworks and searched six databases in July 2022: PubMed, Embase, CINAHL, APA PsycArticles, ScienceDirect, and Web of Science. Risk of bias was evaluated using the Cochrane Collaboration Risk of Bias 2 and the Mixed Methods Appraisal Tools.

Analysis

A descriptive analysis provided an overview of study and app characteristics and evidence for potential associations between Behavior Change Techniques (BCTs) and engagement was examined.

Results

The final analysis included 28 studies. Six BCTs were repeatedly associated with user engagement: goal setting, self-monitoring of behavior, feedback on behavior, prompts/cues, rewards, and social support. There was insufficient data reported to examine associations with specific components of engagement, but the analysis indicated that the different components were being captured by various measures.

Conclusion

This review provides further evidence supporting the use of common BCTs in mobile health apps. To enable developers to leverage BCTs and other app features to optimize engagement in specific contexts and individual characteristics, we need a better understanding of how BCTs are associated with different components of engagement.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022312596.

Novel behaviour change frameworks for digital health interventions: A critical review

Digital health interventions - interventions delivered over digital media to support the health of users - are becoming increasingly prevalent. Utilising an intervention development framework can increase the efficacy of digital interventions for health-related behaviours. This critical review aims to outline and review novel behaviour change frameworks that guide digital health intervention development. Our comprehensive search for preprints and publications used PubMed, PsycINFO, Scopus, Web of Science and the Open Science Framework repository. Articles were included if they: (1) were peer-reviewed; (2) proposed a behaviour change framework to guide digital health intervention development; (3) were written in English; (4) were published between 1/1/19 and 1/8/2021; and (5) were applicable to chronic diseases. Intervention development frameworks considered the user, intervention elements and theoretical foundations. However, the timing and policy of interventions are not consistently addressed across frameworks. Researchers should deeply consider the digital applicability of behaviour change frameworks to improve intervention success.

The Role of Aesthetics in Intentions to Use Digital Health Interventions

Digital interventions are increasingly recognised as cost-effective treatment solutions for a number of health concerns, but adoption and use of these interventions can be low, affecting outcomes. This research sought to identify how individual aesthetic facets and perceived trust may influence perceptions toward and intentions to use an online health intervention by building on the Technology Acceptance Model, where perceived attractiveness, perceived usefulness, perceived ease of use and perceived enjoyment are thought to predict behavioural intentions towards a website. An online questionnaire study assessed perceptions of nine stimuli varying in four aesthetic facets (simplicity, diversity, colour & craftsmanship), utilising a quasi-experimental within-subjects design with a repetition among three different groups: individuals from the general population who were shown stimuli referring to general health (GP-H) (N = 257); individuals experiencing an eating disorder and shown stimuli referring to eating disorders (ED-ED) (N = 109); and individuals from the general population who were shown stimuli referring to eating disorders (GP-ED) (N = 235). Linear mixed models demonstrated that perceptions of simplicity and craftsmanship significantly influenced perceptions of usefulness, ease of use, enjoyment and trust, which in turn influenced behavioural intentions. This study demonstrates that developing the TAM model to add a further construct of perceived trust could be beneficial for digital health intervention developers. In this study, simplicity and craftsmanship were identified as the aesthetic facets with the greatest impact on user perceptions of digital health interventions.

Entertain Me Well: An Entertaining, Tailorable, Online Platform Delivering CBT for Depression

Depression prevalence is high, impacting approximately 20% of Americans during their lifetime, and on the rise due to stress and loss associated with the COVID-19 pandemic. Despite the high prevalence of depression, unacceptable treatment access disparities persist. When depression goes untreated, it leads to substantial negative impacts in multiple life domains. Cognitive behavioral therapy (CBT), the gold-standard psychosocial treatment for depression, remains largely unavailable to individuals living with depression, particularly individuals who are members of underrepresented groups in our society. Digital mental health interventions (DMHI) have led to important advances in extending the reach of CBT for depression; however, they are underutilized and treatment engagement remains low. We sought to address some of the current gaps in DMHI by developing an online platform for delivering CBT for depression that is entertaining, simple and straightforward, and tailorable. First, this article introduces our online platform, Entertain Me Well (EMW) and its key innovations, including the use of an engaging, character-driven storyline presented as "episodes" within each session, as well as customizable content that allows for tailoring of text, images, and examples to create content most relevant to the target client population, context, or setting. Next, we describe two EMW depression treatment programs that have been tailored: one for delivery in the rural church setting, called Raising Our Spirits Together, and one tailored for delivery in dialysis centers, called Doing Better on Dialysis. Finally, we discuss future directions for the EMW platform, including the ability to create programs for other common mental health and health conditions, the development of additional character-driven storylines with greater treatment personalization, translation of content in multiple languages, and the use of additional technological innovation, such as artificial intelligence like natural language processing, to enhance platform interactivity.

Long-term usage of a commercial mHealth app: A "multiple-lives" perspective

Background

Emerging evidence suggests that individuals use mHealth apps in multiple disjointed ways in the real-world-individuals, for example, may engage, take breaks, and re-engage with these apps. To our knowledge, very few studies have adopted this 'multiple-live' perspective to analyze long-term usage of a physical activity (PA) app. This study aimed to examine the duration of use, as well as the frequency, length, and timing of streaks (uninterrupted periods of use) and breaks (uninterrupted periods of non-use) within a popular commercial PA app called Carrot Rewards over 12 months. We also examined sociodemographic correlates of usage.

Method

This retrospective observational study analyzed data from 41,207 Carrot Rewards users participating in the "Steps" walking program from June/July 2016 to June/July 2017. We measured four usage indicators: duration of use, frequency and length of streaks and breaks, time to first break, and time to resume second streak. We also extracted information regarding participants' age, gender, province, and proxy indicators of socioeconomic status derived from census data. We used descriptive statistics to summarize usage patterns, Kaplan-Meier curves to illustrate the time to first break and time to resume second streak. We used linear regressions and Cox Proportional Hazard regression models to examine sociodemographic correlates of usage.

Results

Over 60% of the participants used Carrot Rewards for ≥6 months and 29% used it for 12 months (mean = 32.59 ± 18.435 weeks). The frequency of streaks and breaks ranged from 1 to 9 (mean = 1.61 ± 1.04 times). The mean streak and break length were 20.22 ± 18.26 and 16.14 ± 15.74 weeks, respectively. The median time to first break was 18 weeks across gender groups and provinces; the median time for participants to resume the second streak was between 12 and 32 weeks. Being female, older, and living in a community with greater post-secondary education levels were associated with increased usage.

Conclusion

This study provides empirical evidence that long-term mHealth app usage is possible. In this context, it was common for users to take breaks and re-engage with Carrot Rewards. When designing and evaluating PA apps, therefore, interventionists should consider the 'multiple-lives' perspective described here, as well as the impact of gender and age.

Uses of mHealth in Injury Prevention and Control: a Critical Review

Purpose of Reviews

The purpose of this review was to summarize the current state of the literature on the use of "mHealth" (the use of mobile devices for health promotion) for injury prevention and control.

Recent Findings

mHealth is being used to measure, predict, and prevent the full spectrum of injuries. However, most literature remains preliminary or in a pilot stage. Use of best-of-class design principles (e.g., user-centered design, theory-based development) is uncommon, and wide-scale dissemination of effective monitoring or intervention tools is rare.

Summary

mHealth for injury prevention holds promise, but further work is needed across the full spectrum of development and translation.

Systematic review of digital interventions to support refusal self-efficacy in child and adolescent health promotion

Refusal self-efficacy protects against risky health behavior. Digital interventions have the potential to support self-efficacy due to the enactive experience provided by digital technologies. The aim of this systematic literature review was to evaluate the evidence of digital interventions to support refusal self-efficacy in child and adolescent health promotion. Following the Cochrane Collaboration guidelines, five electronic databases were searched from 2009 to 2020. The studies were assessed by two independent reviewers according to the eligibility criteria. Eligible studies were included in the review, assessed for risk of bias, synthesized narratively and assessed for evidence quality with the GRADE approach. Twenty-three studies, that examined 18 different interventions, were included in the review. The interventions included various digital elements as means to support the child and adolescent refusal self-efficacy (e.g. games, videos, feedback and activities for regulating feelings). The interventions improving refusal self-efficacy were more often used at home setting and addressed the four sources of self-efficacy with different digital elements regardless of intervention duration and intensity. Although the results on intervention effects varied and the evidence quality remained low, the overall evidence concerning these interventions was encouraging. Based on the subgroup analysis, the results were mainly encouraging among girls. When these interventions are implemented in health promotion, their benefits and weaknesses need to be considered comprehensively. The results provide information for designing and developing digital interventions to support child and adolescent refusal self-efficacy. Further research with larger sample sizes and more rigorous study designs is needed to strengthen the evidence of these interventions.

Study protocol: A randomized controlled trial of Raising Our Spirits Together, an entertaining, group-based technology-assisted cognitive behavioral therapy for depression, tailored for rural adults and delivery by clergy

This paper presents a methodological description of a randomized controlled trial (RCT) testing the effect of Raising Our Spirits Together (ROST), a technology-assisted cognitive behavioral therapy (T-CBT) for depression, tailored for the rural context and for delivery by clergy, compared to an enhanced control condition. Depression is among the most common mental health conditions; yet the majority of adults with depression do not receive needed treatment due to limited access to mental health professionals, treatment-associated costs, distance to care, and stigma. These barriers are particularly salient in rural areas of the United States. T-CBT with human support is an accessible and effective treatment for depression; however, currently available T-CBTs have poor completion rates due to the lack of tailoring and other features to support engagement. ROST is a T-CBT specifically tailored for the rural setting and delivery by clergy, who are preferred, informal providers. ROST also presents core CBT content in a simple, jargon-free manner that supports multiple learning preferences. ROST is delivered virtually in a small group format across 8 weekly sessions via videoconferencing software consistent with other clergy-based programs, such as Bible studies or self-help groups. In this study, adults with depressive symptoms recruited from two rural Michigan counties will be randomized to receive ROST versus an enhanced control condition (N = 84). Depressive symptoms post-treatment and at 3 months follow-up according to the Patient Health Questionnaire (PHQ-9) will be the primary outcome. Findings will determine whether ROST is effective for improving depression symptoms in underserved, under resourced rural communities.

Effectiveness of a Text Message Intervention Promoting Seat Belt Use Among Young Adults: A Randomized Clinical Trial

Importance

Approximately 1 in 10 adults do not always wear a seat belt, with the lowest use rates reported among young adults.

Objective

To determine the efficacy of a 6-week automated behavioral text message program promoting seat belt use compared with an attention control.

Design, Setting, and Participants

This parallel, 2-group, single-blind, individually randomized clinical trial included a convenience sample of patients recruited from 4 emergency departments in 2 cities in Pennsylvania from December 2019 to September 2021, with follow-ups at 6 and 12 weeks after randomization. Patients in stable condition aged 18 to 25 years who, in standardized screening, reported driving or being a passenger in a car without always using a seat belt in the past 2 weeks were eligible for recruitment. Participants who completed a 2-week trial run-in phase were randomly assigned 1:1 to the intervention or the assessment control. Data were analyzed from October 2019 to January 2020.

Interventions

The intervention group received Safe Vehicle Engagement (SAVE), a 6-week automated interactive text message program, including weekly seat belt use queries with feedback and goal support to promote consistent use of a seat belt. The control group received identical weekly seat belt use queries but no additional feedback.

Main Outcomes and Measures

The primary outcome was the proportion of young adults reporting always wearing a seat belt over the past 2 weeks, collected at 6 weeks (after a 2-week run-in) via web-based self-assessments and analyzed under intent-to-treat models using multiple imputation procedures. Sensitivity analyses included complete-case analyses of ordered categorical outcomes by vehicle seat position. Secondary outcomes included seatbelt use at 12 weeks and select cognitive constructs related to seat belt use.

Results

A total of 218 participants (mean [SD] age, 21.5 [2.1] years; 139 [63.8%] women) were randomized, with 110 randomized to SAVE and 108 randomized to the control group. A total of 158 individuals (72.4%) were included in the 6-week follow-up. The rate of always using a seat belt over the past 2 weeks at the 6-week follow-up was 41.3% (95% CI, 30.6%-52.0%) among SAVE participants and 20.0% (95% CI, 10.6%-29.3%) among control participants (odds ratio [OR], 2.8; 95% CI, 1.4-5.8; P = .005). A total of 140 individuals (64.2%) participated in the 12-week follow-up. At 12 weeks, the rate of always using a seat belt over the past 2-weeks was 42.8% (95% CI, 31.2%-54.2%) among SAVE participants and 30.7% (95% CI, 19.6%-41.6%) among control participants (OR, 1.7; 95% CI, 0.9-3.4; P = .13). When examining ordered categories of seat belt use by seat position, there were significantly greater odds of wearing a seat belt at 6 and 12 weeks among SAVE participants vs control participants (eg, 6 weeks for driver: OR, 5.2; 95% CI, 2.6-10.5; 6 weeks for front passenger: OR, 4.3; 95% CI, 2.2-8.2; 6 weeks for back passenger: OR, 4.3; 95% CI, 2.2-8.2).

Conclusions and Relevance

In this randomized clinical trial, an interactive text message intervention was more effective at promoting seat belt use among targeted young adults than an attention control at 6 weeks. There was no significant difference between groups in always wearing a seat belt at 12 weeks. These findings, if replicated in a larger sample, suggest a scalable approach to improve seat belt use.

Trial Registration

ClinicalTrials.gov Identifier: NCT03833713.

Feedback based on health advice via tracing bracelet and smartphone in the management of blood pressure among hypertensive patients: A community-based RCT trial in Chongqing, China

BACKGROUND

Lifestyle interventions have been recognized as a line of treatment for noncommunicable diseases. This study aimed to evaluate a bespoke mHealth approach to deliver personalized feedback to improve blood pressure and weight for hypertensive patients in community settings.

METHODS

A total of 307 participants, 50 from each community, were expected to be in the intervention or control group. A professional health facilitator was assigned for each of the 6 communities. The primary outcomes of the study are the reduction in blood pressure and weight at baseline and postintervention.

RESULTS

Of 307 recruited, 192 participants (62.5%) completed the study (intervention: 104 and control: 88). There was no difference in attrition rates between the 2 groups (33.5% vs 41.9%, P = .291). After 6 month of intensive feedback intervention through the mHealth approach, patients had better blood pressure (133.4 ± 15.3 vs 139.7 ± 16.0) compared with control.

CONCLUSIONS

People who were adherent to the intervention demonstrated a clinical benefit in weight and blood pressure.

Experiences of Patient-Led Surveillance, Including Patient-Performed Teledermoscopy, in the MEL-SELF Pilot Randomized Controlled Trial: Qualitative Interview Study

BACKGROUND

Current clinician-led melanoma surveillance models require frequent routinely scheduled clinic visits, with associated travel, cost, and time burden for patients. Patient-led surveillance is a new model of follow-up care that could reduce health care use such as clinic visits and medical procedures and their associated costs, increase access to care, and promote early diagnosis of a subsequent new melanoma after treatment of a primary melanoma. Understanding patient experiences may allow improvements in implementation.

OBJECTIVE

This study aims to explore patients' experiences and perceptions of patient-led surveillance during the 6 months of participation in the MEL-SELF pilot randomized controlled trial. Patient-led surveillance comprised regular skin self-examination, use of a mobile dermatoscope to image lesions of concern, and a smartphone app to track and send images to a teledermatologist for review, in addition to usual care.

METHODS

Semistructured interviews were conducted with patients previously treated for melanoma localized to the skin in New South Wales, Australia, who were randomized to the patient-led surveillance (intervention group) in the trial. Thematic analysis was used to analyze the data with reference to the technology acceptance model.

RESULTS

We interviewed 20 patients (n=8, 40% women and n=12, 60% men; median age 62 years). Patients who were more adherent experienced benefits such as increased awareness of their skin and improved skin self-examination practice, early detection of melanomas, and opportunities to be proactive in managing their clinical follow-up. Most participants experienced difficulty in obtaining clear images and technical problems with the app. These barriers were overcome or persevered by participants with previous experience with digital technology and with effective help from a skin check partner (such as a spouse, sibling, or friend). Having too many or too few moles decreased perceived usefulness.

CONCLUSIONS

Patients with melanoma are receptive to and experience benefits from patient-led surveillance using teledermoscopy. Increased provision of training and technical support to patients and their skin check partners may help to realize the full potential benefits of this new model of melanoma surveillance.

Access to, usage and clinic outcomes of, online postal sexually transmitted infection services: a scoping review

BACKGROUND

There has been considerable expansion in online postal self-sampling (OPSS) STI services in many parts of the UK, driven by increasing demand on sexual health services and developments in diagnostics and digital health provision. This shift in service delivery has occurred against a backdrop of reduced funding and service fragmentation and the impact is unknown. We explored characteristics of people accessing and using OPSS services for STIs in the UK, the acceptability of these services and their impact on sexual health inequalities.

METHODS

A scoping review was conducted of studies published in English-language based on pre-agreed inclusion/exclusion criteria, between 01 January 2010 and 07 July 2021. Nine databases were searched, and 23 studies that met the eligibility criteria were included. Studies were appraised using the Mixed Methods Appraisal Tool.

RESULTS

Study designs were heterogeneous, including quantitative, qualitative and mixed-methods analyses. The majority were either evaluating a single-site/self-sampling provider, exploratory or observational and of variable quality. Few studies collected comprehensive user demographic data. Individuals accessing OPSS tended to be asymptomatic, of white ethnicity, women, over 20 years and from less deprived areas. OPSS tended to increase overall STI testing demand and access, although return rates for blood samples were low, as was test positivity. There were varied results on whether services reduced time to treatment. OPSS services were acceptable to the majority of users. Qualitative studies showed the importance of trust, confidentiality, discretion, reliability, convenience and improved patient choice.

CONCLUSION

OPSS services appear highly acceptable to users. However, uptake appears to be socially patterned and some groups who bear a disproportionate burden of poor sexual health in the UK are under-represented among users. Current provision of online self-sampling could widen health inequalities, particularly where other options for testing are limited. Work is needed to fully evaluate the impact and cost-effectiveness of OPSS services.

Improving the Development and Implementation of Audit and Feedback Systems to Support Health Care Workers in Limiting Antimicrobial Resistance in the Hospital: Scoping Review

BACKGROUND

For eHealth technologies in general and audit and feedback (AF) systems specifically, integrating interdisciplinary theoretical underpinnings is essential, as it increases the likelihood of achieving desired outcomes by ensuring a fit among eHealth technology, stakeholders, and their context. In addition, reporting on the development and implementation process of AF systems, including substantiations of choices, enables the identification of best practices and accumulation of knowledge across studies but is often not elaborated on in publications.

OBJECTIVE

This scoping review aims to provide insights into the development and implementation strategies for AF systems for a real-world problem that threatens modern health care-antimicrobial resistance-and provide an interdisciplinary conceptual framework that can serve as a checklist and guidance for making informed choices in the development and implementation of future AF systems.

METHODS

A scoping review was conducted by querying PubMed, Scopus, Web of Science, IEEE Xplore Digital Library, and Embase (≥2010) for studies describing either the development or implementation process, or both, of an AF system for antimicrobial resistance or infections in hospitals. Studies reporting only on effectiveness or impact were excluded. A total of 3 independent reviewers performed the study selection, and 2 reviewers constructed the conceptual framework through the axial and selective coding of often-used theories, models, and frameworks (TMFs) from the literature on AF and eHealth development and implementation. Subsequently, the conceptual framework was used for the systematic extraction and interpretation of the studies' descriptions of AF systems and their development and implementation.

RESULTS

The search resulted in 2125 studies that were screened for eligibility, of which 12 (0.56%); 2012-2020) were included. These studies described the development and implementation processes heterogeneously in terms of study aims, study targets, target groups, methods, and theoretical underpinnings. Few studies have explicitly explained how choices for the development and implementation of AF systems were substantiated by the TMFs. The conceptual framework provided insights into what is reported on the development and implementation process and revealed underreported AF system constructs (eg, AF system design; engagement with the AF system; and comparison, goal setting, and action planning) and development and implementation (eg, champions) constructs.

CONCLUSIONS

This scoping review showed the current heterogeneous reporting of AF systems and their development and implementation processes and exemplified how interdisciplinary TMFs can (and should) be balanced in a conceptual framework to capture relevant AF systems and development and implementation constructs. Thereby, it provides a concrete checklist and overall guidance that supports the professionalization and harmonization of AF system development and implementation. For the development and implementation of future AF systems and other eHealth technologies, researchers and health care workers should be supported in selecting and integrating TMFs into their development and implementation process and encouraged to explicitly report on theoretical underpinnings and the substantiation of choices.

Technology-Assisted, Group-Based CBT for Rural Adults' Depression: Open Pilot Trial Results

Purpose

This pilot study assesses the association of Raising Our Spirits Together (ROST), a technology-assisted, group-based cognitive behavioral therapy for depression, with rural adults' depressive symptoms and anxiety.

Method

Nine adults from rural Michigan participated in an open pilot of ROST. Clergy facilitated pilot groups. The pilot began in February 2020 in-person. Due to COVID-19, the pilot was completed virtually.

Results

Mean depressive symptom scores, based on the PHQ-9, significantly decreased from pre-treatment (M = 14.4) to post-treatment (M = 6.33; t (8) = 6.79; P < .001). Symptom reduction was maintained at 3-month follow-up (M = 8.00), with a significant pattern of difference in depressive symptoms over time (F(2) = 17.7; P < .001; eta-squared = .689). Similar patterns occurred for anxiety based on the GAD-7. Participants attended an average of 7.33 of 8 sessions. Fidelity ratings were excellent.

Discussion

ROST is a potentially feasible intervention for rural adults' depressive symptoms. ROST offers a promising model for increasing treatment access and building capacity in rural areas.

Methods for Human-Centered eHealth Development: Narrative Scoping Review

Background

Thorough holistic development of eHealth can contribute to a good fit among the technology, its users, and the context. However, despite the availability of frameworks, not much is known about specific research activities for different aims, phases, and settings. This results in researchers having to reinvent the wheel. Consequently, there is a need to synthesize existing knowledge on research activities for participatory eHealth development processes.

Objective

The 3 main goals of this review are to create an overview of the development strategies used in studies based on the CeHRes (Center for eHealth Research) Roadmap, create an overview of the goals for which these methods can be used, and provide insight into the lessons learned about these methods.

Methods

We included eHealth development studies that were based on the phases and/or principles of the CeHRes Roadmap. This framework was selected because of its focus on participatory, iterative eHealth design in context and to limit the scope of this review. Data were extracted about the type of strategy used, rationale for using the strategy, research questions, and reported information on lessons learned. The most frequently mentioned lessons learned were summarized using a narrative, inductive approach.

Results

In the included 160 papers, a distinction was made between overarching development methods (n=10) and products (n=7). Methods are used to gather new data, whereas products can be used to synthesize previously collected data and support the collection of new data. The identified methods were focus groups, interviews, questionnaires, usability tests, literature studies, desk research, log data analyses, card sorting, Delphi studies, and experience sampling. The identified products were prototypes, requirements, stakeholder maps, values, behavior change strategies, personas, and business models. Examples of how these methods and products were applied in the development process and information about lessons learned were provided.

Conclusions

This study shows that there is a plethora of methods and products that can be used at different points in the development process and in different settings. To do justice to the complexity of eHealth development, it seems that multiple strategies should be combined. In addition, we found no evidence for an optimal single step-by-step approach to develop eHealth. Rather, researchers need to select the most suitable research methods for their research objectives, the context in which data are collected, and the characteristics of the participants. This study serves as a first step toward creating a toolkit to support researchers in applying the CeHRes Roadmap to practice. In this way, they can shape the most suitable and efficient eHealth development process.

Improving Adherence to Behavioral Parent Training for ADHD Using Digital Health Tools

Behavioral Parent Training (BPT) is a well-established treatment for school-age children with ADHD but lack of parent adherence to prescribed parenting strategies limits treatment gains. Digital Health (dHealth) tools can be leveraged to target barriers to parent adherence but existing tools for parenting interventions are limited. New efforts to develop a dHealth tool to target adherence barriers including limited skill competence, EF processes, and low motivation/negative attitudes, are presented and recommendations for future technology-enhanced treatments are provided.

Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trial

Background

Ageing populations are resulting in higher prevalence of people with multiple chronic conditions (multimorbidity). Digital health platforms have great potential to support self-management of multimorbidity, increasing a person's awareness of their health and well-being, supporting a better understanding of diseases and encouraging behaviour change. However, little research has explored the long-term engagement of older adults with such digital interventions.

Methods

The aim of this study is to analyse how 60 older adults with multimorbidity engaged with digital symptom and well-being monitoring through a digital health platform over a period of approximately 12 months. Data analysis focused on user retention, frequency of monitoring, intervals in monitoring and patterns of daily engagement.

Results

Our findings show that the overall engagement with the digital health platform was high, with more than 80% of participants using the technology devices for over 200 days. The submission frequency for symptom parameters (e.g. blood glucose (BG), blood pressure (BP), etc.) was between three and four times per week which was higher than that of self-report (2.24) and weight (2.84). Submissions of exercise (6.12) and sleep (5.67) were more frequent. The majority of interactions happened in the morning time. The most common time of submission for symptom parameters was 10 am, whereas 8 am was the most common time for weight measurements.

Conclusions

The findings indicate the patterns of engagement of older adults with complex chronic diseases with digital home-based self-management systems.

Assessing the Implementation and Effectiveness of the Electronic Patient-Reported Outcome Tool for Older Adults With Complex Care Needs: Mixed Methods Study

Background

Goal-oriented care is being adopted to deliver person-centered primary care to older adults with multimorbidity and complex care needs. Although this model holds promise, its implementation remains a challenge. Digital health solutions may enable processes to improve adoption; however, they require evaluation to determine feasibility and impact.

Objective

This study aims to evaluate the implementation and effectiveness of the electronic Patient-Reported Outcome (ePRO) mobile app and portal system, designed to enable goal-oriented care delivery in interprofessional primary care practices. The research questions driving this study are as follows: Does ePRO improve quality of life and self-management in older adults with complex needs? What mechanisms are likely driving observed outcomes?

Methods

A multimethod, pragmatic randomized controlled trial using a stepped-wedge design and ethnographic case studies was conducted over a 15-month period in 6 comprehensive primary care practices across Ontario with a target enrollment of 176 patients. The 6 practices were randomized into either early (3-month control period; 12-month intervention) or late (6-month control period; 9-month intervention) groups. The primary outcome measure of interest was the Assessment of Quality of Life-4D (AQoL-4D). Data were collected at baseline and at 3 monthly intervals for the duration of the trial. Ethnographic data included observations and interviews with patients and providers at the midpoint and end of the intervention. Outcome data were analyzed using linear models conducted at the individual level, accounting for cluster effects at the practice level, and ethnographic data were analyzed using qualitative description and framework analysis methods.

Results

Recruitment challenges resulted in fewer sites and participants than expected; of the 176 target, only 142 (80.6%) patients were identified as eligible to participate because of lower-than-expected provider participation and fewer-than-expected patients willing to participate or perceived as ready to engage in goal-setting. Of the 142 patients approached, 45 (32%) participated. Patients set a variety of goals related to self-management, mental health, social health, and overall well-being. Owing to underpowering, the impact of ePRO on quality of life could not be definitively assessed; however, the intervention group, ePRO plus usual care (mean 15.28, SD 18.60) demonstrated a nonsignificant decrease in quality of life (t₂₄=−1.20; P=.24) when compared with usual care only (mean 21.76, SD 2.17). The ethnographic data reveal a complex implementation process in which the meaningfulness (or coherence) of the technology to individuals’ lives and work acted as a key driver of adoption and tool appraisal.

Conclusions

This trial experienced many unexpected and significant implementation challenges related to recruitment and engagement. Future studies could be improved through better alignment of the research methods and intervention to the complex and diverse clinical settings, dynamic goal-oriented care process, and readiness of provider and patient participants.

Trial Registration

ClinicalTrials.gov NCT02917954; https://clinicaltrials.gov/ct2/show/NCT02917954

Informing Content and Feature Design of a Parent-Focused Human Papillomavirus Vaccination Digital Behavior Change Intervention: Synchronous Text-Based Focus Group Study

Background

Human papillomavirus (HPV) is a common and preventable sexually transmitted infection; however, vaccination rates in the United States among the target age group, which is 11-12 years, are lower than national goals. Interventions that address the barriers to and facilitators of vaccination are important for improving HPV vaccination rates. Web-based, text-based focus groups are becoming a promising method that may be well suited for conducting formative research to inform the design of digital behavior change intervention (DBCI) content and features that address HPV vaccination decision-making.

Objective

This study aims to explore parental HPV vaccination decision-making processes using a web-based, text-based focus group protocol to inform content and feature recommendations for an HPV prevention DBCI.

Methods

We conducted 4 web-based, text-based synchronous focus groups via Skype with the parents of patients aged 11-13 years within a large urban US pediatric clinic network.

Results

The 22 parents were mostly female, White, non-Hispanic college graduates, and they mostly had private health insurance for their children. Approximately half (14/25, 56%) of the parents' 11-13 year old children had initiated HPV vaccination. Most parents had experience using Skype (19/22, 86%). Approximately half (8/17, 47%) of parents expressed no preference for the focus group format, whereas 47% (8/17) requested a text-only chat format and 6% (1/17) requested an audiovisual format. The three main themes from the qualitative data were barriers to HPV vaccination, facilitators of HPV vaccination, and suggestions for improving the HPV vaccination clinic experience. A total of 11 intervention content and feature recommendations emerged from the themes, including addressing HPV knowledge barriers using trusted sources, designing for a family audience, focusing on the framing of messages, reporting reputable HPV research in a comprehensible format, and expanding the clinic visit experience.

Conclusions

Synchronous text-based focus groups are feasible for conducting formative research on HPV vaccination decision-making. Among well-educated and well-resourced parents, there are barriers such as misinformation and facilitators such as pediatrician recommendations that influence HPV vaccination decision-making. Parents want to conduct their own HPV research as well as receive relevant HPV vaccination advice from their child’s pediatrician. In addition, parents want an enhanced clinic visit experience that lets them access and connect to tailored information before and after clinic visits. The results gathered provide guidance for content and features that may inform a more responsive DBCI to address HPV vaccination decision-making among parents.

Does Dynamic Tailoring of A Narrative-Driven Exergame Result in Higher User Engagement among Adolescents? Results from A Cluster-Randomized Controlled Trial

Physical activity interventions for youth are direly needed given low adherence to physical activity guidelines, but many interventions suffer from low user engagement. Exergames that require bodily movement while played may provide an engaging form of physical activity intervention but are not perceived as engaging to all. This study aimed to evaluate whether dynamic tailoring in a narrative-driven mobile exergame for adolescents played in leisure settings, can create higher user engagement compared to a non-tailored exergame. A cluster-randomized controlled trial assessed differences in user engagement between a dynamically tailored (based on an accelerometer sensor integrated in a T-shirt) and non-tailored condition. In total, 94 participants (M age = 14.61 ± 1.93; 35% female) participated and were assigned to one of the two conditions. User engagement was measured via a survey and game metric data. User engagement was low in both conditions. Narrative sensation was higher in the dynamically tailored condition, but the non-tailored condition showed longer play-time. User suggestions to create a more appealing game included simple and more colorful graphics, avoiding technical problems, more variety and shorter missions and multiplayer options. Less cumbersome or more attractive sensing options than the smart T-shirt may offer a more engaging solution, to be tested in future research.

Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Background

Theory-guided approaches to implementation science have informed translation efforts and the acceptance of eHealth (digital health) interventions in clinical care. However, there is scarce evidence on which theories are best suited to addressing the inherent complexity of eHealth implementation.

Objective

The objectives of this systematic review are to identify theories that inform and explain eHealth implementation and to classify these theories using the typology by Sovacool and Hess for theories of sociotechnical change.

Methods

An electronic search was conducted in the PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Sociological Source Ultimate, Web of Science, ABI/INFORM, EBSCO, and ProQuest databases in June 2019. Studies were included if they were published between 2009 and June 2019; were written in English; reported on empirical research, regardless of study or publication type; reported on one or more theories in the context of eHealth implementation; and were published in a peer-reviewed journal. A total of 2 reviewers independently assessed the titles, abstracts, and full texts. Theories identified were classified using a typology for theories of sociotechnical change, which was considered a useful tool for ordering and analyzing the diverse theoretical approaches as a basis for future theory building.

Results

Of the 13,101 potentially relevant titles, 119 studies were included. The review identified 36 theories used to explain implementation approaches in eHealth. The most commonly used approaches were the Technology Acceptance Model (TAM) (n=33) and the Unified Theory of Acceptance and Use of Technology (UTAUT) (n=32). These theories were primarily concerned with individual and interpersonal elements of eHealth acceptance. Less common were theories that reflect the various disorderly social processes and structural dimensions of implementation, such as the normalization process theory (n=17) and the structuration theory (n=6).

Conclusions

Theories currently informing the implementation of eHealth interventions predominantly focus on predicting or explaining end-user acceptance. Theoretical perspectives that capture the dense and intricate relationships and structures required to enact sustainable change are less well represented in the eHealth literature. Given the growing acknowledgment of the inherent complexity of eHealth implementation, future research should develop and test models that recognize and reflect the multidimensional, dynamic, and relational nature of this process.

Atrial fibrillation self-management: a mobile telephone app scoping review and content analysis

Atrial fibrillation (AF) affects over 1.4 million people in the UK, resulting in a five-fold increased stroke risk and a three to four times greater risk of severe, disabling stroke. Atrial fibrillation, a chronic disease, requires monitoring, medication, and lifestyle measures. A self-management approach supported by mobile health (mHealth) may empower AF self-care. To assess the need to develop new mHealth self-management interventions for those with AF this review aimed to identify commercially available AF self-management apps, analyse, and synthesize (i) characteristics, (ii) functions, (iii) privacy/security, (iv) incorporated behaviour change techniques (BCTs), and (v) quality and usability. We searched app stores for 'atrial fibrillation' and 'anticoagulation', and included apps focused on AF self-management in the review. We examined app functions, privacy statements against best practice recommendations, the inclusion of BCTs using the App Behaviour Change Scale, and app quality/usability using the Mobile App Rating Scale. From an initial search of 555 apps, five apps were included in the review. Common functions were educational content, medication trackers, and communication with healthcare professionals. Apps contained limited BCTs, lacked intuitive functions and were difficult to use. Privacy policies were difficult to read. App quality rated from poor to acceptable and no app had been evaluated in a clinical trial. The review reports a lack of commercially available AF self-management apps of sufficient standard for use in healthcare settings. This highlights the need for clinically validated mHealth interventions incorporating evidence-based BCTs to support AF self-management.

Machine learning prediction of blood alcohol concentration: a digital signature of smart-breathalyzer behavior

Excess alcohol use is an important determinant of death and disability. Machine learning (ML)-driven interventions leveraging smart-breathalyzer data may help reduce these harms. We developed a digital phenotype of long-term smart-breathalyzer behavior to predict individuals' breath alcohol concentration (BrAC) levels trained on data from a smart breathalyzer. We analyzed roughly one million datapoints from 33,452 users of a commercial smart-breathalyzer device, collected between 2013 and 2017. For validation, we analyzed the associations between state-level observed smart-breathalyzer BrAC levels and impaired-driving motor vehicle death rates. Behavioral, geolocation-based, and time-series-derived features were fed to an ML algorithm using training (70% of the cohort), development (10% of the cohort), and test (20% of the cohort) sets to predict the likelihood of a BrAC exceeding the legal driving limit (0.08 g/dL). States with higher average BrAC levels had significantly higher alcohol-related driving death rates, adjusted for the number of users per state B (SE) = 91.38 (15.16), p < 0.01. In the independent test set, the ML algorithm predicted the likelihood of a given user-initiated BrAC sample exceeding BrAC ≥ 0.08 g/dL, with an area under the curve (AUC) of 85%. Highly predictive features included users' prior BrAC trends, subjective estimation of their BrAC (or AUC = 82% without the self-estimate), engagement and self-monitoring, time since the last measure, and hour of the day. In conclusion, an ML algorithm successfully quantified a digital phenotype of behavior, predicting naturalistic BrAC levels exceeding 0.08 g/dL (a threshold associated with alcohol-related harm) with good discrimination capability. This result establishes a foundation for future research on precision behavioral medicine digital health interventions using smart breathalyzers and passive monitoring approaches.

Web-based early intervention for children with motor difficulties aged 3–8 years old using multimodal rehabilitation (WECARE): protocol of a patient-centred pragmatic randomised trial of paediatric telerehabilitation to support families

Introduction

Mild motor difficulties in children are underdiagnosed despite being highly prevalent, leaving such children often underserved and at higher risk for secondary consequences such as cardiovascular disease and anxiety. Evidence suggests that early patient-oriented interventions, coaching parents and providing children with early stimulation should be provided, even in the absence of a diagnosis. Such interventions may be effectively delivered via telerehabilitation.

Methods and analysis

A family-centred, pragmatic randomised controlled trial will be carried out to evaluate the real-world effectiveness of a Web-based Early intervention for Children using multimodAl REhabilitation (WECARE). Families of children with motor difficulties, 3–8 years of age, living in Quebec, Canada, and receiving no public rehabilitation services (n=118) will be asked to determine up to 12 performance goals, evaluated using the Canadian Occupational Performance Measure (COPM, the primary outcome). Families will be randomised to receive either usual care or the WECARE intervention. The WECARE intervention will be delivered for 1 year via a web-based platform. Families will have access to videoconferences with an assigned rehabilitation therapist using a collaborative coaching approach, a private chat function, a forum open to all intervention arm participants and online resources pertaining to child development. Participants will be asked to re-evaluate the child’s COPM performance goals every 3 months up to 1 year post allocation. The COPM results will be analysed using a mixed Poisson regression model. Secondary outcomes include measures of the child’s functional ability, parental knowledge and skills and health-related quality of life, as well as qualitative outcomes pertaining to parental satisfaction and service delivery trajectories. Investigators and quantitative data analysts will be blinded to group allocation.

Ethics and dissemination

The CIUSSS de l’Estrie—CHUS ethics committee approved this trial (2020-3429). Study results will be communicated via peer-reviewed journal publications, conference presentations and stakeholder-specific knowledge transfer activities.

Trial registration number

NCT04254302.

Can mHealth interventions contribute to increased HPV vaccination uptake? A systematic review

The objective of this review was to synthesize existing evidence on mobile health (mHealth) interventions geared at improving HPV related knowledge, HPV vaccination intent and HPV vaccination uptake. Between November and December 2019, systematic searches were performed in the databases PubMed, Ebsco/CINAHL, Ebsco/PsycINFO, and Clarivate Analytics/Web of Science Social Science Citation Index (SSCI). We identified 805 articles of which 92 were eligible for inclusion after abstract screening. 19 articles met the inclusion criteria of the review based on full article review and all but one of the included interventions were conducted in the United States. mHealth interventions ranged from text messages, phone calls to interactive voice recordings and software on tablets. All four interventions which attempted to improve HPV knowledge and vaccination intent, reported positive findings, however, only two interventions reported statistically significant improvements between intervention and control groups. 14 interventions reported an increase in HPV vaccination uptake and vaccination series completion among the intervention groups; including when mHealth interventions were compared to control groups or non-mHealth interventions. Some factors noted in the successful interventions included frequency of messages, combinations of multiple interventions including in-person education session, written educational materials, texts alongside call or emails; tailored messages as well as participant's intent to vaccinate at baseline. mHealth interventions potentially show promise as tools in improving short-term vaccination knowledge, intent, and uptake of HPV vaccination. There is however a need to refine components which can promote mHealth interventions' success as well as for the evaluation of such interventions in different contexts and over time.

What got in the way? Caregiver-reported challenges to home practice of assigned intervention skills

Background

Evidence-based intervention (EBI) effectiveness is hindered by low rates of caregiver home practice, or caregiver rehearsal of intervention skills at home. Although home practice is essential to intervention success, we know little about what makes home practice difficult to complete. We sought to identify the challenges caregivers face when attempting home practice assignments within the context of community implementation of a family-based preventative EBI. We also aimed to identify barriers, perceived need, and implementation-related factors that may contribute to frequency of home practice challenges.

Methods

The family-based preventative intervention Bridges was delivered to caregivers and adolescents in three public middle schools in North America within a randomized efficacy-effectiveness hybrid trial. Caregivers (N = 233) completed worksheets in which they reported challenges to home practice of intervention skills. Caregiver-endorsed challenges were coded for emergent themes and categorized into higher-order home practice challenge domains. Additional data was gathered through multiple methods. In addition to descriptive analyses, multilevel linear regressions were conducted to identify factors associated with frequency of home practice challenge domains.

Results

Over 85% of caregivers reported one or more home practice challenges. Challenges fell into six domains: daily stresses, cognitions/beliefs about the intervention/practice, caregiver wellness/regulation, adolescent responsiveness, relevance/acceptability of intervention or assignment, and external barriers to practice. Adolescent externalizing symptoms, academic performance, and caregiver participation in the English-language intervention group (compared to Spanish-language delivery) were associated with greater frequency of reported challenges.

Conclusions

Among caregivers already attending intervention sessions, specific support to overcome challenges in daily stresses and beliefs about the intervention/practice can support greater home practice compliance, which in turn may impact overall intervention effectiveness. Findings suggest that providing services in caregivers' preferred language may avert potential challenges. Further research into home practice challenges is necessary to identify appropriate home practice implementation supports.

Plain Language Summary

Low rates and poor quality of caregiver home practice of intervention skills hampers intervention effectiveness, but no prior studies have identified the difficulties caregivers face when attempting home practice of intervention skills and their rates of occurrence. Within a community implementation of a family-based preventative intervention, we found that difficulties were common and largely fell in the domains theorized to impact engagement, such as daily stresses and beliefs about the intervention/practice. Findings also suggest that providing services and materials in caregivers' preferred language may avert potential home practice challenges. By identifying common home practice challenges and correlates of different challenges, our findings point to a need to develop appropriate and effective home practice implementation support.

Effect of eHealth to increase physical activity in healthy adults over 55 years: A systematic review and meta-analysis

To estimate the effect of eHealth interventions on increasing physical activity (PA) in healthy adults over 55 years, a systematic review and meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. MEDLINE, Cochrane, Web of Science, SPORTDiscus, and Scopus databases were searched, from inception to February 2020, for experimental studies reporting the effect of eHealth interventions on steps/day, daily moderate-to-vigorous physical activity (MVPA min/day), PA min/week, and MVPA min/week among adults over 55 years. The DerSimonian and Laird method was used to compute a pooled effect size (ES) estimate and the respective 95% confidence interval (95% CI). Eighteen studies were included in this meta-analysis with adults whose age ranged from 58 to 74.2 years. The interventions lasted between four and 52 weeks. The ES estimates of eHealth interventions on increasing PA were 0.59 (95% CI: 0.15-1.02) for steps/day, 0.49 (95% CI: 0.17-0.80) for daily MVPA, 0.13 (95% CI: 0.01-0.24) for total weekly PA and 0.31 (95% CI: 0.13-0.48) for weekly MVPA. Considering clinical improvements, the mean change difference estimates were an increase of 1616.28 steps/day (95% CI: 386.25-2846.31), 7.41 minutes of daily MVPA (95% CI: 3.24-11.57), 40.54 minutes of total weekly PA (95% CI: -8.71 to 89.79) and 56.35 minutes of weekly MVPA (95% CI: 17.43-95.27). In conclusion, eHealth interventions are effective in increasing PA levels among adults over 55 years, resulting in increased steps/day, MVPA min/day, PA min/week and MVPA min/week.

Optimising Web-Based Computer-Tailored Physical Activity Interventions for Prostate Cancer Survivors: A Randomised Controlled Trial Examining the Impact of Website Architecture on User Engagement

BACKGROUND

Web-based computer-tailored interventions can assist prostate cancer survivors to become more physically active by providing personally relevant behaviour change support. This study aimed to explore how changing the website architecture (free choice vs. tunnelled) impacted engagement within a physical activity computer-tailored intervention targeting prostate cancer survivors.

METHODS

On a 2:2:1 ratio, 71 Australian prostate cancer survivors with local or locally advanced disease (mean age: 66.6 years ± 9.66) were randomised into either a free-choice (N = 27), tunnelled (N = 27) or minimal intervention control arm (N =17). The primary outcome was differences in usage of the physical activity self-monitoring and feedback modules between the two intervention arms. Differences in usage of other website components between the two intervention groups were explored as secondary outcomes. Further, secondary outcomes involving comparisons between all study groups (including the control) included usability, personal relevance, and behaviour change.

RESULTS

The average number of physical activity self-monitoring and feedback modules accessed was higher in the tunnelled arm (M 2.6 SD 1.3) compared to the free-choice arm (M 1.5 SD 1.4), p = 0.01. However, free-choice participants were significantly more likely to have engaged with the social support (p = 0.008) and habit formation (p = 0.003) 'once-off' modules compared to the standard tunnelled arm. There were no other between-group differences found for any other study outcomes.

CONCLUSION

This study indicated that website architecture influences behavioural engagement. Further research is needed to examine the impact of differential usage on mechanisms of action and behaviour change.

A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development

Rural residents face numerous challenges in accessing quality health care for management of chronic diseases (eg, obesity, diabetes), including scarcity of health care services and insufficient public transport. Digital health interventions, which include modalities such as internet, smartphones, and monitoring sensors, may help increase rural residents’ access to health care. While digital health interventions have become an increasingly popular intervention strategy to address obesity, research examining the use of technological tools for obesity management among rural Latino populations is limited. In this paper, we share our experience developing a culturally tailored, interactive health intervention using digital technologies for a family-oriented, weight management program in a rural, primarily Latino community. We describe the formative research that guided the development of the intervention, discuss the process of developing the intervention technologies including issues of privacy and data security, examine the results of a pilot study, and share lessons learned. Our experience can help others design user-centered digital health interventions to engage underserved populations in the uptake of healthy lifestyle and disease management skills.

Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis

BACKGROUND

Interventions to promote a healthy diet, physical activity, and weight management during pregnancy are increasingly embracing digital technologies. Although some interventions have combined digital with interpersonal (face-to-face or telephone) delivery, others have relied exclusively on digital delivery. Exclusively digital interventions have the advantages of greater cost-effectiveness and broader reach and as such can be a valuable resource for health care providers.

OBJECTIVE

This systematic review aims to focus on exclusively digital interventions to determine their effectiveness, identify behavior change techniques (BCTs), and investigate user engagement.

METHODS

A total of 6 databases (Medical Literature Analysis and Retrieval System Online [MEDLINE], Excerpta Medica dataBASE [EMBASE], PsycINFO, Cumulated Index to Nursing and Allied Health Literature [CINAHL] Plus, Web of Science, and ProQuest) were searched for randomized controlled trials or pilot control trials of exclusively digital interventions to encourage healthy eating, physical activity, or appropriate weight gain during pregnancy. The outcome measures were gestational weight gain (GWG) and changes in physical activity and dietary behaviors. Study quality was assessed using the Cochrane Risk of Bias tool 2.0. Where possible, pooled effect sizes were calculated using a random effects meta-analysis.

RESULTS

In total, 11 studies met the inclusion criteria. The risk of bias was mostly high (n=5) or moderate (n=3). Of the 11 studies, 6 reported on GWG as the primary outcome, 4 of which also measured changes in physical activity and dietary behaviors, and 5 studies focused either on dietary behaviors only (n=2) or physical activity only (n=3). The meta-analyses showed no significant benefit of interventions on total GWG for either intention-to-treat data (-0.28 kg; 95% CI -1.43 to 0.87) or per-protocol data (-0.65 kg; 95% CI -1.98 to 0.67). Substantial heterogeneity in outcome measures of change in dietary behaviors and physical activity precluded further meta-analyses. BCT coding identified 7 BCTs that were common to all effective interventions. Effective interventions averaged over twice as many BCTs from the goals and planning, and feedback and monitoring domains as ineffective interventions. Data from the 6 studies reporting on user engagement indicated a positive association between high engagement with key BCTs and greater intervention effectiveness. Interventions using proactive messaging and feedback appeared to have higher levels of engagement.

CONCLUSIONS

In contrast to interpersonal interventions, there is little evidence of the effectiveness of exclusively digital interventions to encourage a healthy diet, physical activity, or weight management during pregnancy. In this review, effective interventions used proactive messaging, such as reminders to engage in BCTs, feedback on progress, or tips, suggesting that interactivity may drive engagement and lead to greater effectiveness. Given the benefits of cost and reach of digital interventions, further research is needed to understand how to use advancing technologies to enhance user engagement and improve effectiveness.

Promoting colorectal cancer screening: a systematic review and meta-analysis of randomised controlled trials of interventions to increase uptake

Colorectal cancer (CRC) represents a global public health concern. CRC screening is associated with significant reductions in CRC incidence and mortality, however, uptake is suboptimal. This systematic review and meta-analysis of randomised controlled trials explored the effectiveness of interventions designed to increase screening uptake, plus the impact of various moderators. Data from 102 studies including 1.94 million participants were analysed. Results showed significant benefit of all interventions combined (OR, 1.49, 95% CI: 1.43, 1.56, p < 0.001). The effects were similar in studies using objective versus self-reported uptake measures and lower in studies judged to be at high risk of bias. Moderator analyses indicated significant effects for aspects of behaviour (effects lower for studies on non-endoscopic procedures), and intervention (effects higher for studies conducted in community settings, in healthcare systems that are not free, and that use reminders, health-professional providers, paper materials supplemented with in-person or phone contact, but avoid remote contact). Interventions that included behaviour change techniques targeting social support (unspecified or practical), instructions or demonstration of the behaviour, and that added objects to the environment produced stronger effects. The way in which findings can inform interventions to improve CRC screening uptake is discussed.

Theory in practice: identifying theory-based techniques in health coaches' tailored feedback during a weight loss intervention

Objective: A taxonomy of ninety-three functionally different behaviour change techniques (BCTs) has been identified. However, it is not fully clear how these and other theory-based techniques are applied in the day-to-day practice of people delivering health behaviour change interventions. This study examines feedback provided by expert health coaches in a behavioural weight-loss intervention, to describe; a) what theory-based techniques are used in sessions, b) which techniques are used most frequently, c) what occurs in sessions, beyond existing theory-based techniques. Main Outcome Measures: Theory-based techniques (BCTs/tailoring strategies); relational/content-based techniques. Design: 10 tailored feedback videos from two health coaches were coded using a hybrid thematic analysis approach. Theory-based techniques were coded deductively; content not matching definitions of theory-based techniques but that addressed a determinant of behaviour change were coded inductively and relational codes were connected into themes. Results: Seventeen BCTs were coded M = 20.88 times (range:1-109). Eight tailoring techniques were coded M = 25.25 times (range:1-91). Relational themes included; 'Autonomous interpersonal coaching style,' 'Supportive accountability,' and 'Coach as expert'. Additional behavioural techniques were also identified. Conclusion: This work highlights what and how theory-based techniques are implemented in a weight-loss intervention, drawing attention to the role of tailoring techniques and health coaches in supporting behaviour change.

The digital revolution and its impact on mental health care

The digital revolution is evolving at an unstoppable pace. Alongside the unprecedented explosion of digital technology facilities and systems, mental health care is under greater pressure than ever before. With its emphasis on big data, computing power, mobile technology, and network information, digital technology is set to transform health care delivery. This article reviews the field of digital health technology assessment and intervention primarily in secondary service mental health care, including the barriers and facilitators to adopting and implementing digitally mediated interventions in service delivery. We consider the impact of digitally mediated communication on human interaction and its potential impact on various mental states such as those linked to mood, anxiety but also well-being. These developments point to a need for both theory- and data-driven approaches to digital health care. We argue that, as developments in digital technology are outpacing the evaluation of rigorous digital health interventions, more advanced methodologies are needed to keep up with the pace of digital technology development. The need for co-production of digital tools with and for people with chronic and mental health difficulties, and implications of digital technology for psychotherapy practice, will be central to this development. PRACTITIONER POINTS: Mental health problems are one of the main causes of global and societal burden and are a growing public health. People with mental health problems around the world have limited, if any, chance of accessing psychological help at all. Technological innovations and solutions are being considered in an attempt to address the size and scale of the mental health crisis worldwide. Digital platforms allow people to self-monitor and self-manage in a way that face-to-face/paper-based methods of assessment have up until now not allowed. We provide examples of digital tools that are being developed and used in the secondary setting and identify a number of challenges in the digital health field that require careful consideration.

A systematic review of tailored eHealth interventions for weight loss

Objective

The aim of this study is to review the evidence for tailored eHealth weight-loss interventions, describing in detail: 1. how tailoring was implemented in these studies and 2. whether these tailored approaches were effective in producing weight loss compared with generic or inactive controls.

Methods

A systematic review was carried out. Five databases were searched up until 15 March, 2018, including: EBSCO, Science Direct, Pubmed, EMBASE and Web of Science, using combinations of the concepts ‘tailoring’, ‘eHealth’ and ‘overweight’.

Results

Eight articles relating to six interventions were accepted. Tailoring was carried out in a number of ways, based on, for example, anthropometric data, health-related behaviours (e.g. dietary intake, physical activity), goals (e.g. weight goal), theoretical determinants (e.g. confidence/willingness to change behaviours), psychosocial factors (e.g. social support) and participant location. Systems acquired data using strategies that ranged from online questionnaire administration, to the dynamic gathering of data from web-based diaries, websites, mobile applications and SMS messaging. Tailored interventions were more effective in supporting weight loss than generic or waitlist controls in four of the six articles. Effect sizes were very small to moderate, with evidence for fluctuations in effect sizes and differences of effect between tailoring and non-tailoring interventions, and between tailoring types, over time.

Conclusions

We contribute an enhanced understanding of the variety of methods used for the tailoring of eHealth interventions for weight loss and propose a model for categorising tailoring approaches.

Web-Based Measure of Life Events Using Computerized Life Events and Assessment Record (CLEAR): Preliminary Cross-Sectional Study of Reliability, Validity, and Association With Depression

BACKGROUND

Given the criticisms of life event checklists and the costs associated with interviews, life event research requires a sophisticated but easy-to-use measure for research and clinical practice. Therefore, the Computerized Life Events and Assessment Record (CLEAR), based on the Life Events and Difficulties Schedule (LEDS), was developed.

OBJECTIVE

The objective of our study was to test CLEAR's reliability, validity, and association with depression.

METHODS

CLEAR, the General Health Questionnaire, and the List of Threatening Experiences Questionnaire (LTE-Q) were completed by 328 participants (126 students; 202 matched midlife sample: 127 unaffected controls, 75 recurrent depression cases). Test-retest reliability over 3-4 weeks was examined and validity determined by comparing CLEAR with LEDS and LTE-Q. Both CLEAR and LTE-Q were examined in relation to depression.

RESULTS

CLEAR demonstrated good test-retest reliability for the overall number of life events (0.89) and severe life events (.60). Long-term problems showed similar findings. In terms of validity, CLEAR severe life events had moderate sensitivity (59.1%) and specificity (65.4%) when compared with LEDS. CLEAR demonstrated moderate sensitivity (43.1%) and specificity (78.6%) when compared with LTE-Q. CLEAR severe life events and long-term problems were significantly associated with depression (odds ratio, OR 3.50, 95% CI 2.10 to 5.85, P<.001; OR 3.38, 95% CI 2.02 to 5.67, P<.001, respectively), whereas LTE-Q events were not (OR 1.06, 95% CI 0.43 to 2.60, P=.90).

CONCLUSIONS

CLEAR has acceptable reliability and validity and predicts depression. It, therefore, has great potential for effective use in research and clinical practice identifying stress-related factors for the onset and maintenance of depression and related disorders.

Best Practices and Recommendations for Digital Interventions to Improve Engagement and Adherence in Chronic Illness Sufferers

Abstract. Chronic illnesses cause considerable burden in quality of life, often leading to physical, psychological, and social dysfunctioning of the sufferers and their family. There is a growing need for flexible provision of home-based psychological services to increase reach even for traditionally underserved chronic illness sufferer populations. Digital interventions can fulfill this role and provide a range of psychological services to improve functioning. Despite the potential of digital interventions, concerns remain regarding users’ engagement, as low engagement is associated with low adherence rates, high attrition, and suboptimal exposure to the intervention. Human–computer interaction (e.g., theoretical models of persuasive system design, gamification, tailoring, and supportive accountability) and user characteristics (e.g., gender, age, computer literacy) are the main identified culprits contributing to engagement and adherence difficulties. To date, there have not been any clear and concise recommendations for improved utilization and engagement in digital interventions. This paper provides an overview of user engagement factors and proposes research informed recommendations for engagement and adherence planning in digital intervention development. The recommendations were derived from the literature and consensualized by expert members of the European Federation of Psychology Associations, Psychology and Health Standing Committee, and e-Health Task Force. These recommendations serve as a starting point for researchers and clinicians interested in the digitalized health field and promote effective planning for engagement when developing digital interventions with the potential to maximize adherence and optimal exposure in the treatment of chronic health conditions.

Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions

Abstract. Recent rapid advances in technology have provided us with a golden opportunity to effect change in health-related outcomes for chronic disease by employing digital technologies to encourage and support behavior change to promote and maintain health. Behavior change theories are the bedrock to developing evidence-based mHealth interventions. Digital technologies enable researchers to empirically test behavioral theories in “real-world” contexts using behavior change techniques ( Hekler, Michie, et al., 2016 ). According to the European Commission (2014) among the world’s population of 7 billion, there are over 5 billion mobile devices and over 90% of the users have their mobile device near them 24 hr a day. This provides a huge opportunity for behavior change and one that health psychologists have already begun to address. However, while a novel and exciting area of research, many early studies have been criticized for lacking a strong evidence base in both design and implementation. The European Commission conducted a public consultation in 2016 on the issues surrounding the use of mHealth tools (e.g., apps) and found a lack of global standards was a significant barrier. Recently, the World Health Organization (WHO) mHealth Technical Evidence Review Group developed the mHealth evidence reporting and assessment (mERA) checklist for specifying the content of mHealth interventions. Health psychologists play a key role in developing mHealth interventions, particularly in the management of chronic disease. This article discusses current challenges facing widespread integration of mobile technology into self-management of chronic disease including issues around security and regulation, as well as investigating mechanisms to overcoming these barriers.

An Interactive Web Portal for Tracking Oncology Patient Physical Activity and Symptoms: Prospective Cohort Study

BACKGROUND

Physical activity levels typically decline during cancer treatment and often do not return to prediagnosis or minimum recommended levels. Interventions to promote physical activity are needed. Support through the use of digital health tools may be helpful in this situation.

OBJECTIVE

The goal of the research was to evaluate the feasibility, usability, and acceptability of an interactive Web portal developed to support patients with cancer to increase daily physical activity levels.

METHODS

A Web portal for supportive cancer care which was developed to act as a patient-clinician information and coaching tool focused on integrating wearable device data and remote symptom reporting. Patients currently receiving or who had completed intensive anticancer therapy were recruited to 3 cohorts. All cohorts were given access to the Web portal and an activity monitor over a 10-week period. Cohort 2 received additional summative messaging, and cohort 3 received personalized coaching messaging. Qualitative semistructured interviews were completed following the intervention. The primary outcome was feasibility of the use of the portal assessed as both the number of log-ins to the portal to record symptoms and the completion of post-program questionnaires.

RESULTS

Of the 49 people were recruited, 40 completed the intervention. Engagement increased with more health professional contact and was highest in cohort 3. The intervention was found to be acceptable by participants.

CONCLUSIONS

The portal was feasible for use by people with a history of cancer. Further research is needed to determine optimal coaching methods.

Can you elaborate on that? Addressing participants' need for cognition in computer-tailored health behavior interventions

Computer-tailored interventions, which deliver health messages adjusted based on characteristics of the message recipient, can effectively improve a range of health behaviours. Typically, the content of the message is tailored to user demographics, health behaviours and social cognitive factors (e.g., intentions, attitudes, self-efficacy, perceived social support) to increase message relevance, and thus the extent to which the message is read, considered and translated into attitude and behaviour change. Some researchers have suggested that the efficacy of computer-tailored interventions may be further enhanced by adapting messages to suit recipients' need for cognition (NFC) - a personality trait describing how individuals tend to process information. However, the likely impact of doing so, especially when tailored in conjunction with other variables, requires further consideration. It is possible that intervention effects may be reduced in some circumstances due to interactions with other variables (e.g., perceived relevance) that also influence information processing. From a practical point of view, it is also necessary to consider how to optimally operationalise and measure NFC if it is to be a useful tailoring variable. This paper aims to facilitate further research in this area by critically examining these issues based on relevant theories and existing evidence.