Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program

Impact of Digital Interventions on the Treatment Burden of Patients With Chronic Conditions: Protocol for a Systematic Review

BACKGROUND

There is great potential for delivering cost-effective, quality health care for patients with chronic conditions through digital interventions. Managing chronic conditions often includes a substantial workload required for adhering to the treatment regimen and negative consequences on the patient's function and well-being. This treatment burden affects adherence to treatment and disease outcomes. Digital interventions can potentially exacerbate the burden but also alleviate it.

OBJECTIVE

The objective of this review is to identify, summarize, and synthesize the evidence of how digital interventions impact the treatment burden of people with chronic conditions.

METHODS

The search, selection, and data synthesis processes were designed according to the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) 2015. A systematic search was conducted on October 16, 2023, from databases PubMed, Scopus, Web of Science, ACM, PubMed Central, and CINAHL.

RESULTS

Preliminary searches have been conducted, and screening has been started. The review is expected to be completed in October 2024.

CONCLUSIONS

As the number of patients with chronic conditions is increasing, it is essential to design new digital interventions for managing chronic conditions in a way that supports patients with their treatment burden. To the best of our knowledge, the proposed systematic review will be the first review that investigates the impact of digital interventions on the treatment burden of patients. The results of this review will contribute to the field of health informatics regarding knowledge of the treatment burden associated with digital interventions and practical implications for developing better digital health care for patients with chronic conditions.

TRIAL REGISTRATION

PROSPERO CRD42023477605; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=477605.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54833.

The impact of age-relevant and generic infographics on knowledge, attitudes and intention to attend cervical screening: A randomized controlled trial

OBJECTIVES

Cervical screening uptake in England is falling. Infographics could strengthen intention to attend, increase positive attitudes and improve knowledge. Age targeting could improve these outcomes further. We tested the impact of generic and age-targeted infographics.

DESIGN

A randomized controlled trial using an age-stratified, parallel-group design.

METHODS

Women aged 25-64 (n = 2095) were recruited through an online panel and randomized to see one of the three infographics. We tested: (i) impact of a generic cervical screening infographic compared to a control infographic on an unrelated topic with all screening age women and (ii) impact of an age-targeted infographic compared to a generic cervical screening infographic with older women (50-64 years). Intentions, knowledge and attitudes were measured.

RESULTS

Women aged 25-64 years who viewed the generic infographic had significantly higher intentions [F(1, 1513) = 6.14, p = .013,η p 2  = .004], more accurate beliefs about the timeline of cervical cancer development (OR: 5.18, 95% CI: 3.86-6.95), more accurate social norms (OR: 3.03, 95% CI: 2.38-3.87) and more positive beliefs about screening benefits (OR: 2.23, 95% CI: 1.52-3.28) than those viewing the control infographic. In the older age group, there was no significant difference in intention between those viewing the generic versus age-targeted versions [F(1, 607) = .03, p = .853,η p 2  < .001], but the age-targeted version was more engaging [F(1, 608) = 9.41, p = .002,η p 2  = .015].

CONCLUSIONS

A cervical screening infographic can result in more positive attitudes and better knowledge and may have a small impact on intentions. Although age targeting did not affect intention, it had a positive impact on engagement and may therefore be useful in encouraging women to read and process materials.

Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial

BACKGROUND

Multiparametric remote measurement technologies (RMTs), which comprise smartphones and wearable devices, have the potential to revolutionize understanding of the etiology and trajectory of major depressive disorder (MDD). Engagement with RMTs in MDD research is of the utmost importance for the validity of predictive analytical methods and long-term use and can be conceptualized as both objective engagement (data availability) and subjective engagement (system usability and experiential factors). Positioning the design of user interfaces within the theoretical framework of the Behavior Change Wheel can help maximize effectiveness. In-app components containing information from credible sources, visual feedback, and access to support provide an opportunity to promote engagement with RMTs while minimizing team resources. Randomized controlled trials are the gold standard in quantifying the effects of in-app components on engagement with RMTs in patients with MDD.

OBJECTIVE

This study aims to evaluate whether a multiparametric RMT system with theoretically informed notifications, visual progress tracking, and access to research team contact details could promote engagement with remote symptom tracking over and above the system as usual. We hypothesized that participants using the adapted app (intervention group) would have higher engagement in symptom monitoring, as measured by objective and subjective engagement.

METHODS

A 2-arm, parallel-group randomized controlled trial (participant-blinded) with 1:1 randomization was conducted with 100 participants with MDD over 12 weeks. Participants in both arms used the RADAR-base system, comprising a smartphone app for weekly symptom assessments and a wearable Fitbit device for continuous passive tracking. Participants in the intervention arm (n=50, 50%) also had access to additional in-app components. The primary outcome was objective engagement, measured as the percentage of weekly questionnaires completed during follow-up. The secondary outcomes measured subjective engagement (system engagement, system usability, and emotional self-awareness).

RESULTS

The levels of completion of the Patient Health Questionnaire-8 (PHQ-8) were similar between the control (67/97, 69%) and intervention (66/97, 68%) arms (P value for the difference between the arms=.83, 95% CI -9.32 to 11.65). The intervention group participants reported slightly higher user engagement (1.93, 95% CI -1.91 to 5.78), emotional self-awareness (1.13, 95% CI -2.93 to 5.19), and system usability (2.29, 95% CI -5.93 to 10.52) scores than the control group participants at follow-up; however, all CIs were wide and included 0. Process evaluation suggested that participants saw the in-app components as helpful in increasing task completion.

CONCLUSIONS

The adapted system did not increase objective or subjective engagement in remote symptom tracking in our research cohort. This study provides an important foundation for understanding engagement with RMTs for research and the methodologies by which this work can be replicated in both community and clinical settings.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04972474; https://clinicaltrials.gov/ct2/show/NCT04972474.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/32653.

Infographic summaries for clinical practice guidelines: results from user testing of the BMJ Rapid Recommendations in primary care

OBJECTIVES

Infographics have the potential to enhance knowledge translation and implementation of clinical practice guidelines at the point of care. They can provide a synoptic view of recommendations, their rationale and supporting evidence. They should be understandable and easy to use. Little evaluation of these infographics regarding user experience has taken place. We explored general practitioners' experiences with five selected BMJ Rapid Recommendation infographics suited for primary care.

METHODS

An iterative, qualitative user testing design was applied on two consecutive groups of 10 general practitioners for five selected infographics. The physicians used the infographics before clinical encounters and we performed hybrid think-aloud interviews afterwards. 20 interviews were analysed using the Qualitative Analysis Guide of Leuven.

RESULTS

Many clinicians reported that the infographics were simple and rewarding to use, time-efficient and easy to understand. They were perceived as innovative and their knowledge basis as trustworthy and supportive for decision-making. The interactive, expandable format was preferred over a static version as general practitioners focused mainly on the core message. Rapid access through the electronic health record was highly desirable. The main issues were about the use of complex scales and terminology. Understanding terminology related to evidence appraisal as well as the interpretation of statistics and unfamiliar scales remained difficult, despite the infographics.

CONCLUSIONS

General practitioners perceive infographics as useful tools for guideline translation and implementation in primary care. They offer information in an enjoyable and user friendly format and are used mainly for rapid, tailored and just in time information retrieval. We recommend future infographic producers to provide information as concise as possible, carefully define the core message and explore ways to enhance the understandability of statistics and difficult concepts related to evidence appraisal.

TRIAL REGISTRATION NUMBER

MP011977.

Efficacy and mechanisms of mobile application-delivered Acceptance and Commitment Therapy for posttraumatic stress disorder in China: Study protocol for a randomized controlled trial

BACKGROUND

As a result of the COVID-19 pandemic and its far-reaching impact, the prevalence of posttraumatic stress disorder (PTSD) symptoms is increasing significantly in China. Yet access to reliable and effective psychological treatment is still limited during the pandemic. The widespread adoption of mobile technologies may provide a new way to address this gap. In this research we will develop an Acceptance and Commitment Therapy (ACT) based intervention delivered by mobile application and will test its usability, efficacy, and mechanism of its effects in relieving PTSD symptoms.

METHODS

A total of 147 Chinese participants with a diagnosis of PTSD according to the Clinician Administered PTSD Scale (CAPS-5) will be randomly assigned to an intervention group (app-delivered ACT), an active comparison group (app-delivered mindfulness), or a waitlist group. Participants in the intervention group or comparison group will use their respective apps for one month. Online self-report questionnaires will be used to assess the primary outcome of PTSD symptoms and the secondary outcomes symptoms of depression, symptoms of anxiety, and posttraumatic growth. The potential mediating variable to be tested is psychological flexibility and its components. These assessments will be conducted at baseline, at five times during treatment, at the end of treatment, and at 1- and 3-month follow-ups.

DISCUSSION

As far as we know, this study is the first randomized controlled trial to investigate the usability, efficacy, and mechanism of an app-delivered ACT intervention for PTSD. Furthermore, the research will assess the effect of treatment in reducing dropout rates, explore effective therapeutic components, and investigate mechanisms of symptom change, which will be valuable in improving the efficacy and usability of PTSD interventions.Trial registration: ChiCTR2200058408.

Serious Gaming for Behaviour Change: A Systematic Review

Over the years, there has been a significant increase in the adoption of game-based interventions for behaviour change associated with many fields such as health, education, and psychology. This is due to the significance of the players’ intrinsic motivation that is naturally generated to play games and the substantial impact they can have on players. Many review papers measure the effectiveness of the use of gaming on changing behaviours; however, these studies neglect the game features involved in the game design process, which have an impact of stimulating behaviour change. Therefore, this paper aimed to identify game design mechanics and features that are reported to commonly influence behaviour change during and/or after the interventions. This paper identified key theories of behaviour change that inform the game design process, providing insights that can be adopted by game designers for informing considerations on the use of game features for moderating behaviour in their own games.

Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study

BACKGROUND

User engagement is a key performance variable for eHealth websites. However, most existing studies on user engagement either focus on a single website or depend on survey data. To date, we still lack an overview of user engagement on multiple eHealth websites derived from objective data. Therefore, it is relevant to provide a holistic view of user engagement on multiple eHealth websites based on cross-site clickstream data.

OBJECTIVE

This study aims to describe the patterns of user engagement on eHealth websites and investigate how platforms, channels, sex, and income influence user engagement on eHealth websites.

METHODS

The data used in this study were the clickstream data of 1095 mobile users, which were obtained from a large telecom company in Shanghai, China. The observation period covered 8 months (January 2017 to August 2017). Descriptive statistics, two-tailed t tests, and an analysis of variance were used for data analysis.

RESULTS

The medical category accounted for most of the market share of eHealth website visits (134,009/184,826, 72.51%), followed by the lifestyle category (46,870/184,826, 25.36%). The e-pharmacy category had the smallest market share, accounting for only 2.14% (3947/184,826) of the total visits. eHealth websites were characterized by very low visit penetration and relatively high user penetration. The distribution of engagement intensity followed a power law distribution. Visits to eHealth websites were highly concentrated. User engagement was generally high on weekdays but low on weekends. Furthermore, user engagement gradually increased from morning to noon. After noon, user engagement declined until it reached its lowest level at midnight. Lifestyle websites, followed by medical websites, had the highest customer loyalty. e-Pharmacy websites had the lowest customer loyalty. Popular eHealth websites, such as medical websites, can effectively provide referral traffic for lifestyle and e-pharmacy websites. However, the opposite is also true. Android users were more engaged in eHealth websites than iOS users. The engagement volume of app users was 4.85 times that of browser users, and the engagement intensity of app users was 4.22 times that of browser users. Male users had a higher engagement intensity than female users. Income negatively moderated the influence that platforms (Android vs iOS) had on user engagement. Low-income Android users were the most engaged in eHealth websites. Conversely, low-income iOS users were the least engaged in eHealth websites.

CONCLUSIONS

Clickstream data provide a new way to derive an overview of user engagement patterns on eHealth websites and investigate the influence that various factors (eg, platform, channel, sex, and income) have on engagement behavior. Compared with self-reported data from a questionnaire, cross-site clickstream data are more objective, accurate, and appropriate for pattern discovery. Many user engagement patterns and findings regarding the influential factors revealed by cross-site clickstream data have not been previously reported.

Social media and management of COVID-19 in a developing country: the case of Cameroon

Since the first reported case of the coronavirus disease 2019 (COVID-19) in Wuhan China, the virus has spread to every continent, including sub-Saharan Africa. There exist no cure or vaccine for COVID-19. Classic public health approaches such as hygiene and sanitation, and social distancing are the recommended measures to contain the spread of the causative virus. While it is possible to combine strict lockdown measures in some western countries, this is not practical in almost every country in sub-Saharan Africa. In Cameroon, those without symptoms are encouraged to respect measures of hygiene and sanitation, physical distancing, and to wear a mask in public places. Those who develop symptoms are isolated in accredited COVID-19 management centres until they recover. However, the latter strategy is ineffective in containing the local spread of the virus because testing is not robust. Intuitively, the control of the virus in Cameroon depends largely on how engaged the public is in fighting against the virus. Social media can complement the use of community health workers for community or public engagement. In this viewpoint, we discuss how to optimize public engagement, to combat misinformation and to develop a culture for preparedness amidst the COVID-19 pandemic when time and resources are of the essence.

Recommendations for Implementing Gamification for Mental Health and Wellbeing

Gamification is increasingly being proposed as a strategy to increase engagement for mental health and wellbeing technologies. However, its implementation has been criticized as atheoretical, particularly in relation to behavior change theory and game studies theories. Definitions of the term “gamification” vary, sometimes widely, between and within academic fields and the effectiveness of gamification is yet to be empirically established. Despite this, enthusiasm for developing gamified mental health technologies, such as interventions, continues to grow. There is a need to examine how best to implement gamification in mental health and wellbeing technologies in a way that takes quick production cycles into account while still emphasizing empirical investigation and building a rigorous evidence base. With reference to game studies and the medical (eHealth/mHealth) literature, this article interrogates gamification for mental health and wellbeing by examining core properties of the game form. It then explores how gamification can best be conceptualized and implemented for mental health and wellbeing goals from conceptualization through to iterative co-development and evaluation that accommodates software development schedules. Finally, it summarizes its conceptual analysis into recommendations for researchers and designers looking to do so. These recommendations are: (1) assess suitability, (2) implement to support, (3) assess acceptability, (4) evaluate impact, and (5) document comprehensively. These recommendations aim to encourage clear language, unified terminology, the application and evaluation of theory, comprehensive and constant documentation, and transparent evaluation of outcomes.

"Capturing your audience": analysis of Twitter engagements between tweets linked with an educational infographic or a peer-reviewed journal article

Information represented through conventional text may fall short of capturing the attention and promoting engagement with today's digital audience. Transforming text into visual tools, such as infographics, has emerged as a simplified method of delivering information to attract a broader audience and enhance information dissemination. The first step to evaluate the potential value of infographics is to quantify their appeal and engagement rates over conventional text. This retrospective pilot analysis sought to evaluate the difference between engagement rates for tweets containing an of infographic compared to tweets containing a link to a peer-reviewed journal article. A total of 752 tweets were published within the study period; of these, 40 tweets met inclusion criteria. When engagement rates were compared, there was an increase in median engagement rates for tweets containing an infographic compared to a tweet linked to a peer-reviewed article at 10.97% (IQR 3.47%) and 5.33% (IQR 3.17%), respectively. This pilot study provides insight on the potential impact for infographics to enhance engagement rate, which may subsequently correlate with an increase in audience reach and readership. Prospective studies are needed to validate the utility of infographics in promoting scholarship publicity, learner engagement, and as a transferable pedagogical tool to educate medical practitioners.

Leveraging copresence to increase the effectiveness of gamified personalized normative feedback

Virtual copresence, or the sense of being with others in an online space, is a feeling induced on many apps and websites through user avatars and browsable profile pages. Despite the small/modest effect sizes observed in popular web-based personalized normative feedback (PNF) alcohol interventions for college students, previous research has yet to consider how copresence might boost efficacy. This study builds on previous PNF gamification work to investigate whether specific copresence features (visual and text-based information about peers) increase PNF's ability to reduce alcohol use relative to a standard PNF condition and a gamified PNF condition. Copresence and perceptions of drinking norms (average drinks, peak drinks, and binge episodes) were assessed during a 3-week period following random assignment of college students (N = 235) to 1 of the 4 web-based PNF conditions (Standard PNF, Gamified PNF Only, Gamified PNF + Visual Copresence, and Gamified PNF + Maximum Copresence). These conditions asked the same questions about drinking and delivered identical PNF on alcohol use, but differed in the level of visual and text-based information about peers. Overall, only the gamified condition that featured maximum copresence significantly reduced drinking outcomes relative to standard PNF. However, conditional effects were moderated by pre-intervention drinking. Among heavier pre-intervention drinkers, both gamified conditions that featured copresence significantly improved upon Standard PNF in reducing alcohol use at follow-up. Findings suggest that including social media-like copresence features to visually represent and provide basic information about the peers contributing to the norms can enhance the efficacy of gamified PNF interventions, especially among high-risk heavy drinkers.

Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design

Background

Despite the detailed patient package inserts (PPIs) with prescription drugs that communicate crucial information about safety, there is a critical gap between patient understanding and the knowledge presented. As a result, patients may suffer from adverse events. We propose using human factors design methodologies such as hierarchical task analysis (HTA) and interactive visualization to bridge this gap. We hypothesize that an innovative mobile app employing human factors design with an interactive visualization can deliver PPI information aligned with patients’ information processing heuristics. Such an app may help patients gain an improved overall knowledge of medications.

Objective

The objective of this study was to explore the feasibility of designing an interactive visualization-based mobile app using an HTA approach through a mobile prototype.

Methods

Two pharmacists constructed the HTA for the drug risperidone. Later, the specific requirements of the design were translated using infographics. We transferred the wireframes of the prototype into an interactive user interface. Finally, a usability evaluation of the mobile health app was conducted.

Results

A mobile app prototype using HTA and infographics was successfully created. We reiterated the design based on the specific recommendations from the usability evaluations.

Conclusions

Using HTA methodology, we successfully created a mobile prototype for delivering PPI on the drug risperidone to patients. The hierarchical goals and subgoals were translated into a mobile prototype.

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Background

Online communities provide affordable venues for behavior change. However, active user engagement holds the key to the success of these platforms. In order to enhance user engagement and in turn, health outcomes, it is essential to offer targeted interventional and informational support.

Objective

In this paper, we describe a content plus frequency framework to enable the characterization of highly engaged users in online communities and study theoretical techniques employed by these users through analysis of exchanged communication.

Methods

We applied the proposed methodology for analysis of peer interactions within QuitNet, an online community for smoking cessation. Firstly, we identified 144 highly engaged users based on communication frequency within QuitNet over a period of 16 years. Secondly, we used the taxonomy of behavior change techniques, text analysis methods from distributional semantics, machine learning, and sentiment analysis to assign theory-driven labels to content. Finally, we extracted content-specific insights from peer interactions (n=159,483 messages) among highly engaged QuitNet users.

Results

Studying user engagement using our proposed framework led to the definition of 3 user categories—conversation initiators, conversation attractors, and frequent posters. Specific behavior change techniques employed by top tier users (threshold set at top 3) within these 3 user groups were found to be goal setting, social support, rewards and threat, and comparison of outcomes. Engagement-specific trends within sentiment manifestations were also identified.

Conclusions

Use of content-inclusive analytics has offered deep insight into specific behavior change techniques employed by highly engaged users within QuitNet. Implications for personalization and active user engagement are discussed.

From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care

Depressive disorders cover a set of disabling problems, often chronic or recurrent. They are characterized by a high level of psychiatric and somatic comorbidities and represent an important public health problem. To date, therapeutic solutions remain unsatisfactory. For some researchers, this is a sign of decisive paradigmatic failure due to the way in which disorders are conceptualized. They hypothesize that the symptoms of a categorical disorder, or of different comorbid disorders, can be interwoven in chains of interdependencies on different elements, of which it would be possible to act independently and synergistically to influence the functioning of the symptom system, rather than limiting oneself to targeting a hypothetical single underlying cause. New connected technologies make it possible to invent new observation and intervention tools allowing better phenotypic characterization of disorders and their evolution, that fit particularly well into this new "symptoms network" paradigm. Synergies are possible and desirable between these technological and epistemological innovations and can possibly help to solve some of the difficult problems people with mental disorders face in their everyday life, as we will show through a fictional case study exploring the possibilities of connected technologies in mental disorders in the near future.

In pursuit of a self-sustaining college alcohol intervention: Deploying gamified PNF in the real world

Our recent work (Boyle, Earle, LaBrie, & Smith, 2017) showed that the efficacy of personalized normative feedback-based (PNF) college alcohol interventions can be improved through the addition of gamified elements including points, chance, competition, and personal avatars. However, participants in that study were compensated with subject pool credit. In the current study, we piloted an upgraded, smartphone-based version of the game, which was designed to be truly self-sustaining (i.e., engaging enough that students play voluntarily without the presence of external motivators). First-year students were invited to play the game weekly for six rounds, with participants submitting and voting on their own questions each week and receiving a novel type of feedback in addition to standard descriptive PNF: opposite peers' judgments of participants' self-reported drinking behavior, or reflective norms. With no play-based incentives, 222 first-year college students voluntarily played the game, CampusGANDR. ANCOVA models revealed that, relative to participants randomized to receive feedback on control topics during the three intervention rounds, those who received both descriptive and reflective feedback on peer alcohol use had significantly reduced normative perceptions and reduced alcohol use two months post intervention. This was especially true among heavy drinkers. The results suggest that our gamified "GANDR" approach shows promise as a self-sustaining intervention and, further, that high-risk drinkers may benefit disproportionately from this methodology. Thus, self-sustaining interventions represent an encouraging avenue for future research and development and may hold the potential to impact risky college drinking on a large scale.

No difference in knowledge obtained from infographic or plain language summary of a Cochrane systematic review: three randomized controlled trials

OBJECTIVES

The aim of this study was to test the usefulness of an infographic in the translation of knowledge about health information from a Cochrane systematic review to lay and professional populations in comparison to a plain language summary (PLS) and scientific abstract (SA).

STUDY DESIGN AND SETTING

We conducted three parallel randomized trials with university students (n = 171), consumers (n = 99), and doctors (n = 64), to examine the effect of different summary formats of a Cochrane systematic review on the knowledge about health information presented in the review, reading experience, and perceived user-friendliness. In the trials involving students and doctors, an infographic was compared to a PLS and a SA, while in those with consumers, an infographic was compared to a PLS.

RESULTS

We found no difference in knowledge between the infographic and the text-based PLS in any of the trials or in the whole participant sample. All three participant groups preferred the infographic and gave it higher ratings for reading experience (d = 0.48 in the overall sample) and user-friendliness (d = 0.46 in the overall sample).

CONCLUSION

Although the infographic format was perceived as more enjoyable for reading, it was not better than a traditional, text-based PLS in the translation of knowledge about findings from a Cochrane systematic review.

Optimizing Tailored Communications for Health Risk Assessment: A Randomized Factorial Experiment of the Effects of Expectancy Priming, Autonomy Support, and Exemplification

Background

Health risk assessments with tailored feedback plus health education have been shown to be effective for promoting health behavior change. However, there is limited evidence to guide the development and delivery of online automated tailored feedback.

Objective

The goal of this study was to optimize tailored feedback messages for an online health risk assessment to promote enhanced user engagement, self-efficacy, and behavioral intentions for engaging in healthy behaviors. We examined the effects of three theory-based message factors used in developing tailored feedback messages on levels of engagement, self-efficacy, and behavioral intentions.

Methods

We conducted a randomized factorial experiment to test three different components of tailored feedback messages: tailored expectancy priming, autonomy support, and use of an exemplar. Individuals (N=1945) were recruited via Amazon Mechanical Turk and randomly assigned to one of eight different experimental conditions within one of four behavioral assessment and feedback modules (tobacco use, physical activity [PA], eating habits, and weight). Participants reported self-efficacy and behavioral intentions pre- and postcompletion of an online health behavior assessment with tailored feedback. Engagement and message perceptions were assessed at follow-up.

Results

For the tobacco module, there was a significant main effect of the exemplar factor (P=.04); participants who received exemplar messages (mean 3.31, SE 0.060) rated their self-efficacy to quit tobacco higher than those who did not receive exemplar messages (mean 3.14, SE 0.057). There was a three-way interaction between the effect of message conditions on self-efficacy to quit tobacco (P=.02), such that messages with tailored priming and an exemplar had the greatest impact on self-efficacy to quit tobacco. Across PA, eating habits, and weight modules, there was a three-way interaction among conditions on self-efficacy (P=.048). The highest self-efficacy scores were reported among those who were in the standard priming condition and received both autonomy supportive and exemplar messages. In the PA module, autonomy supportive messages had a stronger effect on self-efficacy for PA in the standard priming condition. For PA, eating habits, and weight-related behaviors, the main effect of exemplar messages on behavioral intentions was in the hypothesized direction but did not reach statistical significance (P=.08). When comparing the main effects of different message conditions, there were no differences in engagement and message perceptions.

Conclusions

Findings suggest that tailored feedback messages that use exemplars helped improve self-efficacy related to tobacco cessation, PA, eating habits, and weight control. Combining standard priming and autonomy supportive message components shows potential for optimizing tailored feedback for tobacco cessation and PA behaviors.

Smoke-Free Recovery from Trauma Surgery: A Pilot Trial of an Online Smoking Cessation Program for Orthopaedic Trauma Patients

Smoking increases the risk of complications associated with orthopaedic trauma surgery, however delivery of care is low. Online interventions may provide needed smoking cessation care and promote abstinence. This study aims to examine the engagement, acceptability, and retention of an online smoking cessation program (Smoke-Free Recovery; SFR) among a sample of orthopaedic trauma patients, as well as themes around the smoking cessation process. A pilot study of SFR with 31 orthopaedic trauma patients admitted to a public hospital in New South Wales, Australia took place. Semi-structured telephone interviews were conducted following hospital discharge. Thematic analysis and descriptive statistics were used. Engagement was high with 28 participants accessing SFR during admission. Twenty individuals completed follow-up phone calls. Program acceptability was rated favourably. After discharge, changes in smoking habits were noted, with program retention low. Themes on program use included: lack of time or need for additional support; computer illiteracy or technology issues; feeling unready or too stressed to quit; or feeling they had reached the boundary of what could be learnt from the program. This study highlights the difficulties faced by patients following hospital admission, the lack of follow-up support received, and the need for consumer testing prior to roll out. Continuing to develop interventions to promote hospital-initiated cessation attempts that continue post-discharge should be a priority.

Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review

Background

Electronic mental health interventions for mood disorders have increased rapidly over the past decade, most recently in the form of various systems and apps that are delivered via smartphones.

Objective

We aim to provide an overview of studies on smartphone-based systems that combine subjective ratings with objectively measured data for longitudinal monitoring of patients with affective disorders. Specifically, we aim to examine current knowledge on: (1) the feasibility of, and adherence to, such systems; (2) the association of monitored data with mood status; and (3) the effects of monitoring on clinical outcomes.

Methods

We systematically searched PubMed, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials for relevant articles published in the last ten years (2007-2017) by applying Boolean search operators with an iterative combination of search terms, which was conducted in February 2017. Additional articles were identified via pearling, author correspondence, selected reference lists, and trial protocols.

Results

A total of 3463 unique records were identified. Twenty-nine studies met the inclusion criteria and were included in the review. The majority of articles represented feasibility studies (n=27); two articles reported results from one randomized controlled trial (RCT). In total, six different self-monitoring systems for affective disorders that used subjective mood ratings and objective measurements were included. These objective parameters included physiological data (heart rate variability), behavioral data (phone usage, physical activity, voice features), and context/environmental information (light exposure and location). The included articles contained results regarding feasibility of such systems in affective disorders, showed reasonable accuracy in predicting mood status and mood fluctuations based on the objectively monitored data, and reported observations about the impact of monitoring on clinical state and adherence of patients to the system usage.

Conclusions

The included observational studies and RCT substantiate the value of smartphone-based approaches for gathering long-term objective data (aside from self-ratings to monitor clinical symptoms) to predict changes in clinical states, and to investigate causal inferences about state changes in patients with affective disorders. Although promising, a much larger evidence-base is necessary to fully assess the potential and the risks of these approaches. Methodological limitations of the available studies (eg, small sample sizes, variations in the number of observations or monitoring duration, lack of RCT, and heterogeneity of methods) restrict the interpretability of the results. However, a number of study protocols stated ambitions to expand and intensify research in this emerging and promising field.

Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial

Background

Mental disorders are highly prevalent for the people who are aged between 16 and 25 years and can permanently disrupt the development of these individuals. Easily available mobile health (mHealth) apps for mobile phones have great potential for the prevention and early intervention of mental disorders in young adults, but interventions are required that can help individuals to both identify high-quality mobile apps and use them to change health and lifestyle behavior.

Objectives

The study aimed to assess the efficacy of a Web-based self-guided app recommendation service (“The Toolbox”) in improving the well-being of young Australians aged between 16 and 25 years. The intervention was developed in collaboration with young adults and consists of a curated list of 46 readily available health and well-being apps, assessed and rated by professionals and young people. Participants are guided by an interactive quiz and subsequently receive recommendations for particular apps to download and use based on their personal goals.

Methods

The study was a waitlist, parallel-arm, randomized controlled trial. Our primary outcome measure was change in well-being as measured by the Mental Health Continuum-Short Form (MHC-SF). We also employed ecological momentary assessments (EMAs) to track mood, energy, rest, and sleep. Participants were recruited from the general Australian population, via several Web-based and community strategies. The study was conducted through a Web-based platform consisting of a landing Web page and capabilities to administer study measures at different time points. Web-based measurements were self-assessed at baseline and 4 weeks, and EMAs were collected repeatedly at regular weekly intervals or ad hoc when participants interacted with the study platform. Primary outcomes were analyzed using linear mixed-models and intention-to-treat (ITT) analysis.

Results

A total of 387 participants completed baseline scores and were randomized into the trial. Results demonstrated no significant effect of “The Toolbox” intervention on participant well-being at 4 weeks compared with the control group (P=.66). There were also no significant differences between the intervention and control groups at 4 weeks on any of the subscales of the MHC-SF (psychological: P=.95, social: P=.42, emotional: P=.95). Repeat engagement with the study platform resulted in a significant difference in mood, energy, rest, and sleep trajectories between intervention and control groups as measured by EMAs (P<.01).

Conclusions

This was the first study to assess the effectiveness of a Web-based well-being intervention in a sample of young adults. The design of the intervention utilized expert rating of existing apps and end-user codesign approaches resulting in an app recommendation service. Our finding suggests that recommended readily available mental health and well-being apps may not lead to improvements in the well-being of a nonclinical sample of young people, but might halt a decline in mood, energy, rest, and sleep.

Trial Registration

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12614000710628; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366145 (Archived by WebCite at http://www.webcitation.org/ 6pWDsnKme)