Engagement with MyFitnessPal in eating disorders: Qualitative insights from online forums

OBJECTIVE

Using calorie-counting and fitness-tracking technologies is concerning in relation to eating disorders. While studies in this area typically assess one aspect of use (e.g., frequency), engagement with a device or application is more complex. Consequently, important relationships between the use of these technologies and the eating disorder symptomatology might remain undetected. The current study therefore used comments from online eating disorder-related forums to generate comprehensive qualitative insights into engagement with a popular calorie-counting and fitness-tracking application, MyFitnessPal.

METHOD

First, we extracted every comment mentioning MyFitnessPal made on three eating disorder-related forums between May 2015 and January 2018 (1,695 comments from 920 commenters). Then, we conducted an inductive thematic analysis using these comments to identify important aspects of engagement with MyFitnessPal.

RESULTS

The analyses resulted in three themes: Preventing misuse, describing ways in which MyFitnessPal attempts to prevent pathological use and actions taken by users to circumvent its interventions; Accuracy, outlining distrust of MyFitnessPal's accuracy and ways in which perceived inaccuracy is reduced or compensated for; and Psychosocial factors, comprising cognitive, behavioral, and social factors that influence, or are influenced by, engagement with MyFitnessPal.

DISCUSSION

The qualitative insights provide a detailed overview of how people with high levels of eating disorder symptomatology likely engage with MyFitnessPal. The insights can be used as a basis to develop valid, quantitative assessment of pathological patterns of engagement with calorie-counting and fitness-tracking technologies. The findings can also provide clinicians with insight into how their patients likely engage with, and are affected by, these devices and applications.

Mobile Application Interventions and Weight Loss in Type 2 Diabetes: A Meta-Analysis

OBJECTIVE

This meta-analysis aimed to assess the effect of mobile application (app) interventions on weight loss in patients with type 2 diabetes.

METHODS

Electronic databases were searched for randomized controlled trials examining the use of mobile app interventions with outcomes on weight loss evaluated by body weight or other measures such as BMI or waist circumference. A random-effects model was applied to obtain weight mean differences and 95% CIs.

RESULTS

Fourteen studies enrolling 2,129 patients with type 2 diabetes were included. Mobile app interventions could significantly reduce body weight (weight mean difference, -0.84 kg; 95% CI: -1.51 to -0.17 kg) and lower waist circumference (-1.35 cm; 95% CI: -2.16 to -0.55 cm) but may not decrease BMI (-0.08 kg/m² ; 95% CI: -0.41 to 0.25 kg/m² ). The reductions appeared to be more pronounced in patients with obesity or among studies using mobile app interventions combined with other behavior components. However, weight loss was not moderated by the functionalities of the mobile apps (all P_interaction  > 0.05) or by the intervention duration (all P > 0.87).

CONCLUSIONS

Mobile app interventions lead to weight loss in patients with type 2 diabetes and are worth recommending for weight loss promotion.

Privacy and Security Issues with Mobile Health Research Applications

This article examines the privacy and security issues associated with mobile application-mediated health research, concentrating in particular on research conducted or participated in by independent scientists, citizen scientists, and patient researchers. Building on other articles in this issue that examine state research laws and state data protection laws as possible sources of privacy and security protections for mobile research participants, this article focuses on the lack of application of federal standards to mobile application-mediated health research. As discussed in more detail below, the voluminous and diverse data collected by some independent scientists who use mobile applications to conduct health research may be at risk for unregulated privacy and security breaches, leading to dignitary, psychological, and economic harms for which participants have few legally enforceable rights or remedies under current federal law. Federal lawmakers may wish to consider enacting new legislation that would require otherwise unregulated health data holders to implement reasonable data privacy, security, and breach notification measures.

Digital Diabetes Care System Observations from a Pilot Evaluation Study in Vietnam

Digital technologies are gaining an important role in the management of patients with diabetes. We assessed clinical outcomes and user satisfaction of incorporating a digital diabetes care system in diabetes clinics of a developing country. The system integrated a wireless blood glucose monitor that communicates data to any smartphone utilizing a patented acoustic data transfer method, a mobile-app, and cloud-based software that stores, analyzes, and presents data. Five hospital endocrinology clinics in Vietnam sequentially recruited all patients willing to join the study, providing they had a smartphone and access to internet connectivity. Face-to-face visits were conducted at baseline and at 12 weeks, with monthly digital visits scheduled in the interim and additional digital visits performed as needed. HbA1c levels were measured at baseline and at 12 weeks (±20 days). The study included 300 patients of whom 279 completed the evaluation. Average glucose levels declined from 170.4 ± 64.6 mg/dL in the first 2 weeks to 150.8 ± 53.2 mg/dL in the last 2 weeks (n = 221; p < 0.001). HbA1c levels at baseline and 12 weeks declined from 8.3% ± 1.9% to 7.6% ± 1.3% (n = 126; p < 0.001). The digital solution was broadly accepted by both patients and healthcare professionals and improved glycemic outcomes. The durability, scalability, and cost-effectiveness of this approach merits further study.

The True Colours Remote Symptom Monitoring System: A Decade of Evolution

The True Colours remote mood monitoring system was developed over a decade ago by researchers, psychiatrists, and software engineers at the University of Oxford to allow patients to report on a range of symptoms via text messages, Web interfaces, or mobile phone apps. The system has evolved to encompass a wide range of measures, including psychiatric symptoms, quality of life, and medication. Patients are prompted to provide data according to an agreed personal schedule: weekly, daily, or at specific times during the day. The system has been applied across a number of different populations, for the reporting of mood, anxiety, substance use, eating and personality disorders, psychosis, self-harm, and inflammatory bowel disease, and it has shown good compliance. Over the past decade, there have been over 36,000 registered True Colours patients and participants in the United Kingdom, with more than 20 deployments of the system supporting clinical service and research delivery. The system has been adopted for routine clinical care in mental health services, supporting more than 3000 adult patients in secondary care, and 27,263 adolescent patients are currently registered within Oxfordshire and Buckinghamshire. The system has also proven to be an invaluable scientific resource as a platform for research into mood instability and as an electronic outcome measure in randomized controlled trials. This paper aimed to report on the existing applications of the system, setting out lessons learned, and to discuss the implications for tailored symptom monitoring, as well as the barriers to implementation at a larger scale.

A Web- and Mobile App-Based Mental Health Promotion Intervention Comparing Email, Short Message Service, and Videoconferencing Support for a Healthy Cohort: Randomized Comparative Study

BACKGROUND

The rapid increase in mental health disorders has prompted a call for greater focus on mental health promotion and primary prevention. Web- and mobile app-based interventions present a scalable opportunity. Little is known about the influence of human support on the outcomes of these interventions.

OBJECTIVE

This study aimed to compare the influence of 3 modes of human support on the outcomes (ie, mental health, vitality, depression, anxiety, stress, life satisfaction, and flourishing) of a 10-week, Web- and mobile app-based, lifestyle-focused mental health promotion intervention among a healthy adult cohort.

METHODS

Participants were recruited voluntarily using a combination of online and offline advertising. They were randomized, unblinded into 3 groups differentiated by human support mode: Group 1 (n=201): standard-fully automated emails (S); Group 2 (n=202): standard plus personalized SMS (S+pSMS); and Group 3 (n=202): standard plus weekly videoconferencing support (S+VCS), hosted by 1 trained facilitator. Participants accessed the intervention, including the questionnaire, on a Web-based learning management system or through a mobile app. The questionnaire, administered at pre- and postintervention, contained self-reported measures of mental well-being, including the "mental health" and "vitality" subscales from the Short Form Health Survey-36, Depression Anxiety and Stress Scale-21, Diener Satisfaction With Life Scale (SWLS), and Diener Flourishing Scale.

RESULTS

Of 605 potential participants, 458 (S: n=157, S+pSMS: n=163, and S+VCS: n=138) entered the study by completing registration and the preintervention questionnaire. At post intervention, 320 out of 458 participants (69.9%; S: n=103, S+pSMS: n=114, and S+VCS: n=103) completed the questionnaire. Significant within-group improvements were recorded from pre- to postintervention in all groups and in every outcome measure (P≤.001). No significant between-group differences were observed for outcomes in any measure: mental health (P=.77), vitality (P=.65), depression (P=.93), anxiety (P=.25), stress (P.57), SWLS (P=.65), and Flourishing Scale (P=.99). Adherence was not significantly different between groups for mean videos watched (P=.42) and practical activity engagement (P=.71). Participation in videoconference support sessions (VCSSs) was low; 37 out of 103 (35.9%) participants did not attend any VCSSs, and only 19 out of 103 (18.4%) attended 7 or more out of 10 sessions. Stratification within the S+VCS group revealed that those who attended 7 or more VCSSs experienced significantly greater improvements in the domains of mental health (P=.006; d=0.71), vitality (P=.005; d=0.73), depression (P=.04; d=0.54), and life satisfaction (P=.046; d=0.50) compared with participants who attended less than 7.

CONCLUSIONS

A Web- and mobile app-based mental health promotion intervention enhanced domains of mental well-being among a healthy cohort, irrespective of human support. Low attendance at VCSSs hindered the ability to make meaningful between-group comparisons. Supplementing the intervention with VCSSs might improve outcomes when attendance is optimized.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR): 12619001009101; http://www.anzctr.org.au/ACTRN12619001009101.aspx.

Communication of Critical Laboratory Values: Optimization of the Process through Secure Messaging

BACKGROUND

Timely communication of critical laboratory results is important yet cumbersome.

OBJECTIVE

To assess the impact of a new technology on the process of reporting critical laboratory results at our 480-bed, adult/children, tertiary-care, medical school-affiliated health center in the southeastern region of the United States.

METHODS

We changed the process of reporting critical values by telephone only to reporting via telephone and a secure messaging app. Physician order entry, an online on-call roster for availability, and support from the C-suite (executive branch of the organization) were instrumental in implementation.

RESULTS

Consistently, before our process changes, more than 95% of the critical laboratory results were reported in less than 30 minutes. Use of the app reduced the time taken for reporting results. The need to involve pathology residents and attending physicians in reporting has been eliminated by this process.

DISCUSSION

Secure messaging has facilitated the reporting of critical laboratory values, making it more efficient and providing a reliable record of the process. This process meets or exceeds the standards of the accrediting agencies. The method is suitable for activating rapid-response teams in case of hypercritical values.

Development and Usability Testing of the Society for Pediatric Anesthesia Pedi Crisis Mobile Application

When life-threatening, critical events occur in the operating room, the fast-paced, high-distraction atmosphere often leaves little time to think or deliberate about management options. Success depends on applying a team approach to quickly implement well-rehearsed, systematic, evidence-based assessment and treatment protocols. Mobile devices offer resources for readily accessible, easily updatable information that can be invaluable during perioperative critical events. We developed a mobile device version of the Society for Pediatric Anesthesia 26 Pediatric Crisis paper checklists-the Pedi Crisis 2.0 application-as a resource to support clinician responses to pediatric perioperative life-threatening critical events. Human factors expertise and principles were applied to maximize usability, such as by clustering information into themes that clinicians utilize when accessing cognitive aids during critical events. The electronic environment allowed us to feature optional diagnostic support, optimized navigation, weight-based dosing, critical institution-specific phone numbers pertinent to emergency response, and accessibility for those who want larger font sizes. The design and functionality of the application were optimized for clinician use in real time during actual critical events, and it can also be used for self-study or review. Beta usability testing of the application was conducted with a convenience sample of clinicians at 9 institutions in 2 countries and showed that participants were able to find information quickly and as expected. In addition, clinicians rated the application as slightly above "excellent" overall on an established measure, the Systems Usability Scale, which is a 10-item, widely used and validated Likert scale created to assess usability for a variety of situations. The application can be downloaded, at no cost, for iOS devices from the Apple App Store and for Android devices from the Google Play Store. The processes and principles used in its development are readily applicable to the development of future mobile and electronic applications for the field of anesthesiology.

Assessment of a Mobile App by Adolescents and Young Adults With Cystic Fibrosis: Pilot Evaluation

BACKGROUND

Cystic fibrosis (CF) continues to be the most common life-limiting chronic pulmonary disease in adolescents and young adults. Treatment of CF demands a high treatment time investment to slow the progression of lung function decline, the most important contributor to morbidity and mortality. Adherence is challenging in CF due to the high treatment burden and the lack of immediate health consequences in case of nonadherence. Lung function decline is particularly pronounced in the transition phase between 12 and 24 years of age. The improvement of self-management and self-responsibility and independence from parents and desire for normalcy are conflicting aspects for many adolescents with CF, which influence adherence to the time-consuming pulmonary therapy. Mobile health (mHealth) care apps could help to support self-management and independence and thereby reconcile seemingly conflicting goals to improve adherence, quality of life, and ultimately CF life expectancy.

OBJECTIVE

This study aimed to (1) assess user behavior and satisfaction among adolescents and young adults with CF over an observation period of three months using an mHealth app; (2) identify areas of improvement for this mHealth app; and (3) compare overall and disease-specific satisfaction, lung function, and anthropometry before and after using the mHealth app.

METHODS

A total of 27 adolescents and young adults with CF (age range 12-24 years, mean age 16 years, SD 3 years; 14 females, 11 males) used a free mHealth app for three months of whom 25 provided questionnaire data for analysis at the end of the study. Data collection was carried out using questionnaires on usage characteristics and life satisfaction, and standardized assessment of lung function and anthropometry.

RESULTS

The use of the reminder function for medication declined from 70% (15/21) of the participants at week 4 to 65% (13/20) at week 8 of the observation period. At the end of the study, only 17% (4/23) of the participants wanted to continue using the app. Nevertheless, 56% (14/25) of participants saw the mobile app as a support for everyday life. Potential improvements targeting hedonistic qualities were identified to improve mHealth app adherence. Comparisons of satisfaction with different life aspects hinted at improvements or stabilization for the subitem respiration and the subitem lack of handicap by CF, suggesting that app use might stabilize certain CF-specific aspects of the weighted satisfaction with life. Lung function and anthropometry were not affected consistently.

CONCLUSIONS

Most of the patients did not want to continue using the app after the study period. Only a few CF-specific aspects of weighted life satisfaction were possibly stabilized by the mHealth app; clinical parameters were not affected. Adaptation of the functions to adolescent-specific needs could improve the long-term use and thus positively affect the disease course.

Mobile and Web-Based Apps That Support Self-Management and Transition in Young People With Chronic Illness: Systematic Review

BACKGROUND

More adolescents with chronic physical illness are living into adulthood, and they require the development of proficient self-management skills to maintain optimal physical health as they transition into adult care services. It is often during this vulnerable transition period that deterioration in illness control is seen as a result of inadequate self-management skills and understanding of their chronic illness. Mobile technology has been proposed as an innovative opportunity to assist in improving the management of chronic conditions as young people transition to adult care services. Over the past 5 years, there has been a significant increase in research into the use of health-related apps.

OBJECTIVE

This study aimed to evaluate the utility and effectiveness of mobile and Web-based health apps that support self-management and transition in young people with chronic physical health illnesses.

METHODS

We conducted a comprehensive review of the literature in 5 bibliographic databases, using key search terms, considering only articles published from 2013, as we were extending the data from 2 previous systematic reviews. Abstracts were screened for possible inclusion by 2 reviewers. Data extraction and quality assessment tools were used for the evaluation of included studies.

RESULTS

A total of 1737 records were identified from the combined electronic searches, and 854 records were removed as duplicates. A total of 68 full articles were further assessed for eligibility, and 6 articles met our review criteria: 3 pilot studies, 2 randomized controlled trials, and 1 prospective cohort study. Publication years ranged from 2015 to 2018. The apps reported were targeted at type 1 diabetes mellitus, epilepsy, asthma, beta thalassemia major, and sickle cell disease, with a combined sample size of 336. A total of 4 studies included in this review reported being effective in increasing knowledge of the targeted condition and increasing therapy adherence, including increased medication adherence. A total of 2 manuscripts only mentioned the word transition. Participant's satisfaction was reported for all studies. Heterogeneity of the studies prevented meta-analysis.

CONCLUSIONS

There remain limited data on the effectiveness and use of mobile and Web-based apps, which might facilitate the transition of adolescents with chronic illnesses from pediatric to adult health care services. This systematic review provides an updated overview of available apps for adolescents with chronic illnesses. This systematic review has been unable to provide evidence for effectiveness of this approach, but it does provide insights into future study design, with reference to the development, evaluation, and efficacy of apps tailored for adolescents with chronic illnesses, including the involvement of adolescents in such designs.

TRIAL REGISTRATION

PROSPERO CRD42018104611; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=104611.

Assessing the Psychometric Properties of the Digital Behavior Change Intervention Engagement Scale in Users of an App for Reducing Alcohol Consumption: Evaluation Study

BACKGROUND

The level and type of engagement with digital behavior change interventions (DBCIs) are likely to influence their effectiveness, but validated self-report measures of engagement are lacking. The DBCI Engagement Scale was designed to assess behavioral (ie, amount, depth of use) and experiential (ie, attention, interest, enjoyment) dimensions of engagement.

OBJECTIVE

We aimed to assess the psychometric properties of the DBCI Engagement Scale in users of a smartphone app for reducing alcohol consumption.

METHODS

Participants (N=147) were UK-based, adult, excessive drinkers recruited via an online research platform. Participants downloaded the Drink Less app and completed the scale immediately after their first login in exchange for a financial reward. Criterion variables included the objectively recorded amount of use, depth of use, and subsequent login. Five types of validity (ie, construct, criterion, predictive, incremental, divergent) were examined in exploratory factor, correlational, and regression analyses. The Cronbach alpha was calculated to assess the scale's internal reliability. Covariates included motivation to reduce alcohol consumption.

RESULTS

Responses on the DBCI Engagement Scale could be characterized in terms of two largely independent subscales related to experience and behavior. The experiential and behavioral subscales showed high (α=.78) and moderate (α=.45) internal reliability, respectively. Total scale scores predicted future behavioral engagement (ie, subsequent login) with and without adjusting for users' motivation to reduce alcohol consumption (adjusted odds ratio [ORadj]=1.14; 95% CI 1.03-1.27; P=.01), which was driven by the experiential (ORadj=1.19; 95% CI 1.05-1.34; P=.006) but not the behavioral subscale.

CONCLUSIONS

The DBCI Engagement Scale assesses behavioral and experiential aspects of engagement. The behavioral subscale may not be a valid indicator of behavioral engagement. The experiential subscale can predict subsequent behavioral engagement with an app for reducing alcohol consumption. Further refinements and validation of the scale in larger samples and across different DBCIs are needed.

An Interactive Mobile Phone App (SMART 5-A-DAY) for Increasing Knowledge of and Adherence to Fruit and Vegetable Recommendations: Development and Pilot Randomized Controlled Trial

BACKGROUND

Fruit and vegetable consumption is important for health, but many individuals fail to consume adequate amounts for health benefits. Although many individuals are aware of current fruit and vegetable consumption recommendations, research suggests that adherence to these is hampered by low knowledge of the details of these recommendations.

OBJECTIVE

This paper reports the development and details of a pilot randomized controlled test of a novel interactive mobile phone app for addressing low knowledge of the UK 5-a-day fruit and vegetable recommendations.

METHODS

Requirements for the app were first defined by researchers and potential end users and prioritized using the MoSCoW (Must have, Should have, Could have, Won't have) method. Second, a prototype mobile phone app was developed using an agile approach. Third, the prototype app was tested in a randomized controlled pilot trial for impacts on knowledge and intake of fruit and vegetables. Volunteers were randomized to either receive (n=50) or not receive the app (n=44) for 2 or 4 weeks, and fruit and vegetable knowledge, intake, and behavior were assessed at the beginning of the study and after 1 and 2 weeks or after 2 and 4 weeks, respectively. App usage and qualitative feedback were also investigated. All findings then informed the development of a final app.

RESULTS

Low knowledge of consumption recommendations centered around portion sizes and the need for variety, and an interactive mobile phone app was considered a suitable tool for improving this knowledge in a practical manner that would be available both at time of consumption and outside of these times. The pilot test revealed improved behavior after 2 weeks compared with baseline in volunteers who received the app, but improvements in knowledge on fruit and vegetable recommendations were found in both groups, and no improvements in fruit and vegetable intakes were found in formal measures. Patterns of app usage and qualitative feedback also suggested a number of modifications. The resultant final app incorporates several behavior change techniques (goal-setting, self-monitoring, and personalized feedback) as well as aiming to improve knowledge.

CONCLUSIONS

A novel interactive mobile phone app was successfully developed based on requirements, and when tested in a pilot randomized controlled trial, this app was found to have some impacts on fruit and vegetable outcomes. Although benefits from the app were small, impacts will likely increase as a result of recent modifications. The final SMART 5-A-DAY app is available in the Google Play Store and now needs testing in the target population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02779491; https://www.clinicaltrials.gov/ct2/show/NCT02779491.

Impact of a Mobile App-Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study

BACKGROUND

Effective treatment of obesity in children and adolescents traditionally requires frequent in-person contact, and it is often limited by low participant engagement. Mobile health tools may offer alternative models that enhance participant engagement.

OBJECTIVE

The aim of this study was to assess child engagement over time, with a mobile app-based health coaching and behavior change program for weight management, and to examine the association between engagement and change in weight status.

METHODS

This was a retrospective cohort study of user data from Kurbo, a commercial program that provides weekly individual coaching via video chat and supports self-monitoring of health behaviors through a mobile app. Study participants included users of Kurbo between March 2015 and March 2017, who were 5 to 18 years old and who were overweight or obese (body mass index; BMI ≥ 85th percentile or ≥ 95th percentile) at baseline. The primary outcome, engagement, was defined as the total number of health coaching sessions received. The secondary outcome was change in weight status, defined as the change in BMI as a percentage of the 95th percentile (%BMIp95). Analyses of outcome measures were compared across three initial commitment period groups: 4 weeks, 12 to 16 weeks, or 24 weeks. Multivariable linear regression models were constructed to adjust outcomes for the independent variables of sex, age group (5-11 years, 12-14 years, and 15-18 years), and commitment period. A sensitivity analysis was conducted, excluding a subset of participants involuntarily assigned to the 12- to 16-week commitment period by an employer or health plan.

RESULTS

A total of 1120 participants were included in analyses. At baseline, participants had a mean age of 12 years (SD 2.5), mean BMI percentile of 96.6 (SD 3.1), mean %BMIp95 of 114.5 (SD 16.5), and they were predominantly female 68.04% (762/1120). Participant distribution across commitment periods was 26.07% (292/1120) for 4 weeks, 61.61% (690/1120) for 12-16 weeks, and 12.32% (138/1120) for 24 weeks. The median coaching sessions (interquartile range) received were 8 (3-16) for the 4-week group, 9 (5-12) for the 12- to 16-week group, and 19 (11-25) for the 24-week group (P<.001). Adjusted for sex and age group, participants in the 4- and 12-week groups participated in -8.03 (95% CI -10.19 to -5.87) and -9.34 (95% CI -11.31 to -7.39) fewer coaching sessions, compared with those in the 24-week group (P<.001). Adjusted for commitment period, sex, and age group, the overall mean change in %BMIp95 was -0.21 (95% CI -0.25 to -0.17) per additional coaching session (P<.001).

CONCLUSIONS

Among overweight and obese children using a mobile app-based health coaching and behavior change program, increased engagement was associated with longer voluntary commitment periods, and increased number of coaching sessions was associated with decreased weight status.

A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing

BACKGROUND

The usability of electronic health (eHealth) and mobile health apps is of paramount importance as it impacts the quality of care. Methodological quality assessment is a common practice in the field of health for different designs and types of studies. However, we were unable to find a scale to assess the methodological quality of studies on the usability of eHealth products or services.

OBJECTIVE

This study aimed to develop a scale to assess the methodological quality of studies assessing usability of mobile apps and to perform a preliminary analysis of of the scale's feasibility, reliability, and construct validity on studies assessing usability of mobile apps, measuring aspects of physical activity.

METHODS

A 3-round Delphi panel was used to generate a pool of items considered important when assessing the quality of studies on the usability of mobile apps. These items were used to write the scale and the guide to assist its use. The scale was then used to assess the quality of studies on usability of mobile apps for physical activity, and it assessed in terms of feasibility, interrater reliability, and construct validity.

RESULTS

A total of 25 experts participated in the Delphi panel, and a 15-item scale was developed. This scale was shown to be feasible (time of application mean 13.10 [SD 2.59] min), reliable (intraclass correlation coefficient=0.81; 95% CI 0.55-0.93), and able to discriminate between low- and high-quality studies (high quality: mean 9.22 [SD 0.36]; low quality: mean 6.86 [SD 0.80]; P=.01).

CONCLUSIONS

The scale that was developed can be used both to assess the methodological quality of usability studies and to inform its planning.

Post-intervention qualitative assessment of mobile health technology to manage hypertension among Ghanaian stroke survivors

Stroke is a leading cause of death in Africa and a key modifiable risk factor for the index and recurrent stroke is through the adequate management of blood pressure. Recent guidelines encourage management beyond clinic settings, yet implementation of these guidelines can be challenging, especially in resource constrained regions, such as in Sub-Saharan Africa. Mobile health technology may offer an innovative and cost-effective approach to improve BP monitoring and facilitate adherence to antihypertensive medications. Stroke survivors (n = 16) and their caregivers (n = 8) who participated in a 3-month feasibility study were invited to share post-intervention insights via focus groups (n = 3). Clinician (n = 7) input on intervention delivery and clinical impressions was also obtained via a separate focus group (n = 1). Four major themes emerged highlighting the ability to self-monitor, the use of technology as an interventional tool, training and support, and post-intervention adherence. Overwhelming receptivity toward home blood pressure monitoring and the use of mobile health (mHealth) was noted. Feedback indicated benefits in having access to equipment and that message prompts facilitated adherence. Post-intervention adherence declined following study intervention, indicating a need for increased exposure to facilitate long-term behavioral change, although participants conveyed a heightened awareness of the importance of BP monitoring and lifestyle changes needed.

Mental Health Apps in China: Analysis and Quality Assessment

BACKGROUND

Mental disorders have been a great burden on health care systems, affecting the quality of life of millions of people worldwide. Developing countries, including China, suffer from the double burden of both the increasing mental health issues in population and the deficiency in mental health care resources. The use of mobile health technologies, especially for mobile phone apps, can be a possible solution.

OBJECTIVE

This review aimed to describe the features and assess the quality of mental health apps in major mobile phone app markets in China and further discuss the priorities for mental health app development.

METHODS

Keywords including psychology, psychological health, psychological hygiene, psychological health service(s), mental, mental health, mental hygiene, mental health service(s), depression, and anxiety were searched in Chinese in 3 Android app markets (Baidu Mobile Assistant, Tencent MyApp, and 360 Mobile Assistant) and iOS App Store independently. Mental health apps were then selected according to established criteria for in-depth analysis and quality assessment by the Mobile App Rating Scale.

RESULTS

In total, 63 of 997 mental health apps were analyzed in depth, of which 78% (49/63) were developed by commercial entities for general population, 17% (11/63) were for patients or clients of specialized psychiatric hospitals or counseling agencies, 3% (2/63) were by government or local Centers for Disease Control and Prevention for general information, and 2% (1/63) for students of a university. Major built-in features of the apps included counseling services, mental health education, and self-assessment of mental health status by validated self-rating scales. The overall quality score of the MH apps was acceptable.

CONCLUSIONS

Mental health apps are emerging in the area of mobile health in China. Popular mental health apps usually provide a synthetic platform organizing resources of information, knowledge, counseling services, self-tests, and management for the general population with mental health-related inquiries. The quality of the apps was rated as acceptable on average, suggesting some space for improvement. Official guidelines and regulations are urgently required for the field in the future.

Evaluating the quality of voice assistants' responses to consumer health questions about vaccines: an exploratory comparison of Alexa, Google Assistant and Siri

OBJECTIVE

To assess the quality and accuracy of the voice assistants (VAs), Amazon Alexa, Siri and Google Assistant, in answering consumer health questions about vaccine safety and use.

METHODS

Responses of each VA to 54 questions related to vaccination were scored using a rubric designed to assess the accuracy of each answer provided through audio output and the quality of the source supporting each answer.

RESULTS

Out of a total of 6 possible points, Siri averaged 5.16 points, Google Assistant averaged 5.10 points and Alexa averaged 0.98 points. Google Assistant and Siri understood voice queries accurately and provided users with links to authoritative sources about vaccination. Alexa understood fewer voice queries and did not draw answers from the same sources that were used by Google Assistant and Siri.

CONCLUSIONS

Those involved in patient education should be aware of the high variability of results between VAs. Developers and health technology experts should also push for greater usability and transparency about information partnerships as the health information delivery capabilities of these devices expand in the future.

Reliability and validity of a motion-based reaction time assessment using a mobile device

Information processing speed is often altered following a concussion. Few portable assessments exist to evaluate simple reaction time (SRT) in hospitals and clinics. We evaluated the use of a SRT application for mobile device measurement. 27 healthy adults (age = 30.7 ± 11.5 years) completed SRT tests using a mobile device with Sway, an application for SRT testing. Participants completed computerized SRT tests using the Computerized Test of Information Processing (CTIP). Test-retest reliability was assessed using intraclass correlation coefficients (ICC) between Sway trials. Pearson correlations and Bland-Altman analyses were used to assess criterion validity between Sway and CTIP means. ICC comparisons between Sway tests were all statistically significant. ICCs ranged from 0.84-0.90, with p-values <.001. A one-way analysis of variance (ANOVA) revealed no significant differences between trials (F3,104 =  1.35, p = .26. Pearson correlation between Sway and CTIP outcomes yielded a significant correlation (r = 0.59, p = .001). The mean difference between measurement methods was 43.7 ms, with limits of agreement between -140.8-53.4 ms. High ICC indicates Sway is a reliable method to assess SRT. A strong correlation and clinically acceptable agreement between Sway and the computer-based test indicates that Sway is suited for rapid administration of SRT testing in healthy individuals. Future research using Sway to assess altered information processing in a population of individuals after concussion is warranted.

Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert

BACKGROUND

The spread of technology and dissemination of knowledge across the World Wide Web has prompted the development of apps for American Sign Language (ASL) translation, interpretation, and syntax recognition. There is limited literature regarding the quality, effectiveness, and appropriateness of mobile health (mHealth) apps for the deaf and hard-of-hearing (DHOH) that pose to aid the DHOH in their everyday communication and activities. Other than the star-rating system with minimal comments regarding quality, the evaluation metrics used to rate mobile apps are commonly subjective.

OBJECTIVE

This study aimed to evaluate the quality and effectiveness of DHOH apps using a standardized scale. In addition, it also aimed to identify content-specific criteria to improve the evaluation process by using a content expert, and to use the content expert to more accurately evaluate apps and features supporting the DHOH.

METHODS

A list of potential apps for evaluation was generated after a preliminary screening for apps related to the DHOH. Inclusion and exclusion criteria were developed to refine the master list of apps. The study modified a standardized rating scale with additional content-specific criteria applicable to the DHOH population for app evaluation. This was accomplished by including a DHOH content expert in the design of content-specific criteria.

RESULTS

The results indicate a clear distinction in Mobile App Rating Scale (MARS) scores among apps within the study's three app categories: ASL translators (highest score=3.72), speech-to-text (highest score=3.6), and hard-of-hearing assistants (highest score=3.90). Of the 217 apps obtained from the search criteria, 21 apps met the inclusion and exclusion criteria. Furthermore, the limited consideration for measures specific to the target population along with a high app turnover rate suggests opportunities for improved app effectiveness and evaluation.

CONCLUSIONS

As more mHealth apps enter the market for the DHOH population, more criteria-based evaluation is needed to ensure the safety and appropriateness of the apps for the intended users. Evaluation of population-specific mHealth apps can benefit from content-specific measurement criteria developed by a content expert in the field.

Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study

BACKGROUND

The mobile phone app, TrackYourStress (TYS), is a new crowdsensing mobile health platform for ecological momentary assessments of perceived stress levels.

OBJECTIVE

In this pilot study, we aimed to investigate the time trend of stress levels while using TYS for the entire population being studied and whether the individuals' perceived stress reactivity moderates stress level changes while using TYS.

METHODS

Using TYS, stress levels were measured repeatedly with the 4-item version of the Perceived Stress Scale (PSS-4), and perceived stress reactivity was measured once with the Perceived Stress Reactivity Scale (PSRS). A total of 78 nonclinical participants, who provided 1 PSRS assessment and at least 4 repeated PSS-4 measurements, were included in this pilot study. Linear multilevel models were used to analyze the time trend of stress levels and interactions with perceived stress reactivity.

RESULTS

Across the whole sample, stress levels did not change while using TYS (P=.83). Except for one subscale of the PSRS, interindividual differences in perceived stress reactivity did not influence the trajectories of stress levels. However, participants with higher scores on the PSRS subscale reactivity to failure showed a stronger increase of stress levels while using TYS than participants with lower scores (P=.04).

CONCLUSIONS

TYS tracks the stress levels in daily life, and most of the results showed that stress levels do not change while using TYS. Controlled trials are necessary to evaluate whether it is specifically TYS or any other influence that worsens the stress levels of participants with higher reactivity to failure.

Usability and Feasibility of a Smartphone App to Assess Human Behavioral Factors Associated with Tick Exposure (The Tick App): Quantitative and Qualitative Study

BACKGROUND

Mobile health (mHealth) technology takes advantage of smartphone features to turn them into research tools, with the potential to reach a larger section of the population in a cost-effective manner, compared with traditional epidemiological methods. Although mHealth apps have been widely implemented in chronic diseases and psychology, their potential use in the research of vector-borne diseases has not yet been fully exploited.

OBJECTIVE

This study aimed to assess the usability and feasibility of The Tick App, the first tick research-focused app in the United States.

METHODS

The Tick App was designed as a survey tool to collect data on human behaviors and movements associated with tick exposure while engaging users in tick identification and reporting. It consists of an enrollment survey to identify general risk factors, daily surveys to collect data on human activities and tick encounters (Tick Diaries), a survey to enter the details of tick encounters coupled with tick identification services provided by the research team (Report a Tick), and educational material. Using quantitative and qualitative methods, we evaluated the enrollment strategy (passive vs active), the user profile, location, longitudinal use of its features, and users' feedback.

RESULTS

Between May and September 2018, 1468 adult users enrolled in the app. The Tick App users were equally represented across genders and evenly distributed across age groups. Most users owned a pet (65.94%, 962/1459; P<.001), did frequent outdoor activities (recreational or peridomestic; 75.24%, 1094/1454; P<.001 and 64.58%, 941/1457; P<.001, respectively), and lived in the Midwest (56.55%, 824/1457) and Northeast (33.0%, 481/1457) regions in the United States, more specifically in Wisconsin, southern New York, and New Jersey. Users lived more frequently in high-incidence counties for Lyme disease (incidence rate ratio [IRR] 3.5, 95% CI 1.8-7.2; P<.001) and in counties with cases recently increasing (IRR 1.8, 95% CI 1.1-3.2; P=.03). Recurring users (49.25%, 723/1468) had a similar demographic profile to all users but participated in outdoor activities more frequently (80.5%, 575/714; P<.01). The number of Tick Diaries submitted per user (median 2, interquartile range [IQR] 1-11) was higher for older age groups (aged >55 years; IRR 3.4, 95% CI 1.5-7.6; P<.001) and lower in the Northeast (IRR[NE] 0.4, 95% CI 0.3-0.7; P<.001), whereas the number of tick reports (median 1, IQR 1-2) increased with the frequency of outdoor activities (IRR 1.5, 95% CI 1.3-1.8; P<.001).

CONCLUSIONS

This assessment allowed us to identify what fraction of the population used The Tick App and how it was used during a pilot phase. This information will be used to improve future iterations of The Tick App and tailor potential tick prevention interventions to the users' characteristics.

Building a Secure Biomedical Data Sharing Decentralized App (DApp): Tutorial

Decentralized apps (DApps) are computer programs that run on a distributed computing system, such as a blockchain network. Unlike the client-server architecture that powers most internet apps, DApps that are integrated with a blockchain network can execute app logic that is guaranteed to be transparent, verifiable, and immutable. This new paradigm has a number of unique properties that are attractive to the biomedical and health care communities. However, instructional resources are scarcely available for biomedical software developers to begin building DApps on a blockchain. Such apps require new ways of thinking about how to build, maintain, and deploy software. This tutorial serves as a complete working prototype of a DApp, motivated by a real use case in biomedical research requiring data privacy. We describe the architecture of a DApp, the implementation details of a smart contract, a sample iPhone operating system (iOS) DApp that interacts with the smart contract, and the development tools and libraries necessary to get started. The code necessary to recreate the app is publicly available.

Codesigning a mobile gamified attention bias modification intervention: research protocol

INTRODUCTION

Advances in experimental psychology has highlighted the need to modify underlying automatic cognitive biases, such as attentional biases. While prior research has documented the effectiveness of cognitive bias modification, such interventions tend to be highly repetitive and individuals lack motivation to train over time. Participatory action research methods have been more widely applied in psychiatry to help design interventions that are of relevant to key stakeholders and end users. This study aimed to involve both healthcare professionals and patients in the joint codesign of a gamified mobile attention bias modification intervention.

METHODS AND ANALYSIS

The participatory design research method adopted is that of a use-oriented design approach, in the form of a future workshop. 20 participants, comprising 10 healthcare professionals, 5 inpatients and 5 outpatients will be recruited to participate in three separate codesign workshops. In the first phase of the workshop, the participants share their critique of an attention bias modification intervention. In the second phase of the workshop, participants are asked to brainstorm features. The participants are also shown gamification approaches and are asked to consider if gaming elements could enhance the existing application. In the last phase, the participants are asked to sketch a new prototype.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the National Healthcare Group's Domain Specific Research Board (approval number 2018/01363). The findings arising from this study will be disseminated by means of conferences and publications.