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.

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.

Critical analysis of features and quality of applications for clinical management of acne

BACKGROUND

Mobile medical applications (apps) for clinical management of medical conditions are increasing in prevalence. Our aim was to identify features and overall quality of acne apps that could facilitate clinical management.

METHODS

We established 10 pertinent features (6 essential and 4 desirable) for an acne app through literature search and nominal group discussion. Searches were then conducted in the Apple App Store and Google Play Store. Apps which assisted with clinical management of acne were assessed for functionality and quality. Overall quality was evaluated by grading against pre-established criteria for medical apps.

RESULTS

A total of 358 Apple apps and 256 Google apps were found. After removing apps which did not assist with the clinical management of acne, 12 Apple and 13 Google apps remained. Apps were classified as interactive, informational, or teledermatology apps. Mean Masud scores were 12.8±3.7 for the Apple apps and 12.2±3.7 for the Google apps.

CONCLUSIONS

Mobile acne apps can be effective in the self-management and collaborative management of acne. The current acne apps are of variable quality and none contained all 10 features crucial for effective clinical management. The shortcomings identified in this paper can guide future acne app development.

Health-Related Quality of Life Before and After Use of a Smartphone App for Adolescents and Young Adults With Cancer: Pre-Post Interventional Study

BACKGROUND

Adolescent and young adult (AYA) patients with cancer are a group with underexplored needs throughout treatment and in survivorship. This missing knowledge can influence their quality of life (QoL). Given this fact, we have developed a smartphone app based on a cocreation process and have an investigation of QoL among users planned as part of pilot testing this app. Future research is warranted to determine the effect of mobile health (mHealth) tools such as smartphone apps among the AYA cancer population.

OBJECTIVE

The aim of this study was to investigate the feasibility of a smartphone app among AYA patients with cancer in active treatment and posttreatment, in a pilot test by measuring health-related QoL before and after the use of the app.

METHODS

Participants were recruited via the youth support initiative and social organization for AYAs with cancer, Kræftværket, based at Rigshospitalet, University Hospital of Copenhagen, Denmark. Participants were evenly distributed in active treatment and posttreatment groups. After written informed consent, all participants were asked to use the app Kræftværket as they deemed appropriate over a 6-week period. The participants were asked to complete the 30-item European Organization for Research and Treatment of Cancer Quality of Life Questionnaire before and after the 6-week period. The collected QoL data were analyzed with t tests to determine differences between groups and from baseline.

RESULTS

In total, we enrolled 20 participants, 10 in active treatment and 10 posttreatment (median time after treatment was 4 months) group. Median age of the participants was 25 years. No differences in QoL were seen at baseline (P=.65). The posttreatment group experienced a significant increase in overall QoL after the 6-week period (global QoL: baseline 62.5, SD 22.3; after 6 weeks 80.8, SD 9.7; P=.04). For the group in active treatment, the QoL remained stable throughout the 6 weeks.

CONCLUSIONS

This study shows the feasibility and possible effect on QoL associated with the use of an mHealth tool in AYA patients. mHealth support tools are warranted for this population.

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

BACKGROUND

Previous studies have identified psychological and smartphone app-related predictors of engagement with alcohol reduction apps at a group level. However, strategies to promote engagement need to be effective at the individual level. Evidence as to whether group-level predictors of engagement are also predictive for individuals is lacking.

OBJECTIVE

The aim of this study was to examine whether daily fluctuations in (1) the receipt of a reminder, (2) motivation to reduce alcohol, (3) perceived usefulness of the app, (4) alcohol consumption, and (5) perceived lack of time predicted within-person variability in the frequency and amount of engagement with an alcohol reduction app.

METHODS

We conducted a series of observational N-of-1 studies. The predictor variables were measured twice daily for 28 days via ecological momentary assessments. The outcome variables were measured through automated recordings of the participants' app screen views. A total of nine London-based adults who drank alcohol excessively and were willing to set a reduction goal took part. Each participant's dataset was analyzed separately using generalized additive mixed models to derive incidence rate ratios (IRRs) for the within-person associations of the predictor and outcome variables. Debriefing interviews, analyzed using thematic analysis, were used to contextualize the findings.

RESULTS

Predictors of the frequency and amount of engagement differed between individuals, and for the variables 'perceived usefulness of the app' and 'perceived lack of time', the direction of associations also differed between individuals. The most consistent predictors of within-person variability in the frequency of engagement were the receipt of a daily reminder (IRR=1.80-3.88; P<.05) and perceived usefulness of the app (IRR=0.82-1.42; P<.05). The most consistent predictors of within-person variability in the amount of engagement were motivation to reduce alcohol (IRR=1.67-3.45; P<.05) and perceived usefulness of the app (IRR=0.52-137.32; P<.05).

CONCLUSIONS

The utility of the selected psychological and app-related variables in predicting the frequency and amount of engagement with an alcohol reduction app differed at the individual level. This highlights that key within-person associations may be masked in group-level designs and suggests that different strategies to promote engagement may be required for different individuals.

A process evaluation of a mobile cooperation intervention: A mixed methods study

BACKGROUND

A mobile cooperation intervention was developed to facilitate the cooperation of nursing students with nurse teacher and to improve the students' clinical learning outcomes. The intervention consisted of training in a mobile application's functionality and its use during clinical practicum cooperation procedures.

OBJECTIVES

To describe the development of a mobile application for student-teacher cooperation and to examine the acceptability of the mobile cooperation intervention for advancing intervention development.

DESIGN

A user-centred design and a mobile application development lifecycle model were applied to develop a mobile application. A process evaluation that used mixed methods design was conducted within the intervention group after a randomized controlled trial of a complex mobile cooperation intervention.

SETTING

The clinical practicum wards of seven hospitals in a hospital district in Finland.

PARTICIPANTS

Second-year pre-registration nursing students (N = 52) from one nursing school.

METHODS

Process evaluation questionnaires were completed upon completion of the five week intervention and essays were written by the students eleven weeks after the intervention ended.

RESULTS

A system usability scale (SUS) assessed the overall usability of the mobile application as rather good (a mean SUS score of 69.86 out of 100). Positive feedback about the mobile application's usability and utility was reported and recommendations for further development were highlighted. The intervention demonstrated high acceptability. In general, the students actively used the mobile application for intervention procedures at home and in the clinical practicum ward.

CONCLUSIONS

The findings support the high acceptability of mobile cooperation intervention and its potential while also providing evidence for the development team's future development of the mobile application. Additionally, this study provides an example of mobile application development and process evaluation in nursing education research.

Comparison of the Effects of Coaching and Receipt of App Recommendations on Depression, Anxiety, and Engagement in the IntelliCare Platform: Factorial Randomized Controlled Trial

BACKGROUND

IntelliCare is a modular platform that includes 12 simple apps targeting specific psychological strategies for common mental health problems.

OBJECTIVE

This study aimed to examine the effect of 2 methods of maintaining engagement with the IntelliCare platform, coaching, and receipt of weekly recommendations to try different apps on depression, anxiety, and app use.

METHODS

A total of 301 participants with depression or anxiety were randomized to 1 of 4 treatments lasting 8 weeks and were followed for 6 months posttreatment. The trial used a 2X2 factorial design (coached vs self-guided treatment and weekly app recommendations vs no recommendations) to compare engagement metrics.

RESULTS

The median time to last use of any app during treatment was 56 days (interquartile range 54-57), with 253 participants (84.0%, 253/301) continuing to use the apps over a median of 92 days posttreatment. Receipt of weekly recommendations resulted in a significantly higher number of app use sessions during treatment (overall median=216; P=.04) but only marginal effects for time to last use (P=.06) and number of app downloads (P=.08). Coaching resulted in significantly more app downloads (P<.001), but there were no significant effects for time to last download or number of app sessions (P=.36) or time to last download (P=.08). Participants showed significant reductions in the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) across all treatment arms (P s<.001). Coached treatment led to larger GAD-7 reductions than those observed for self-guided treatment (P=.03), but the effects for the PHQ-9 did not reach significance (P=.06). Significant interaction was observed between receiving recommendations and time for the PHQ-9 (P=.04), but there were no significant effects for GAD-7 (P=.58).

CONCLUSIONS

IntelliCare produced strong engagement with apps across all treatment arms. Coaching was associated with stronger anxiety outcomes, and receipt of recommendations enhanced depression outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02801877; https://clinicaltrials.gov/ct2/show/NCT02801877.

Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

BACKGROUND

Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients' intention to use these apps are unclear. Understanding the patients' behavioral intention is necessary to support the development and promotion of diabetes app use.

OBJECTIVE

This study aimed to identify the determinants of patients' intention to use diabetes management apps based on an integrated theoretical model.

METHODS

The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data.

RESULTS

A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=-0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001).

CONCLUSIONS

Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps' effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients' intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

[Communication through electronic media in pediatrics. Use recommendations]

New information and communication technologies have had an impact on our lives in general, as well as in our health care and pediatric practice. Given this fact, it is essential to establish an initial framework for this type of interactions between physicians and patients in order to provide the necessary security tools to all the involved parties. The existing legislative gap to date has not been an impediment to the use of these technologies in medical communication, but it is necessary to establish what the responsibilities, obligations and rights of each party are, arising from their use. This document briefly describes the available electronic communication channels, with their advantages and disadvantages, and suggests recommendations for the responsible and safe use. Our aim is to frame this new modality of interaction between doctors and their patients, in order to highlight its value and evaluate its limitations.

A Smart and Multifaceted Mobile Health System for Delivering Evidence-Based Secondary Prevention of Stroke in Rural China: Design, Development, and Feasibility Study

BACKGROUND

Mobile health (mHealth) technologies hold great promise in improving the delivery of high-quality health care services. Yet, there has been little research so far applying mHealth technologies in the context of delivering stroke care in resource-limited rural regions.

OBJECTIVE

This study aimed to introduce the design and development of an mHealth system targeting primary health care providers and to ascertain its feasibility in supporting the delivery of a System-Integrated techNology-Enabled Model of cAre (SINEMA) service for strengthening secondary prevention of stroke in rural China.

METHODS

The SINEMA mHealth system was designed by a multidisciplinary team comprising public health researchers, neurologists, and information and communication technology experts. The iterative co-design and development of the mHealth system involved the following 5 steps: (1) assessing the needs of relevant end users through in-depth interviews of stakeholders, (2) designing the functional modules and evidence-based care content, (3) designing and building the system and user interface, (4) improving and enhancing the system through a 3-month pilot test in 4 villages, and (5) finalizing the system and deploying it in field trial, and finally, evaluating its feasibility through a survey of the dominant user group.

RESULTS

From the in-depth interviews of 49 relevant stakeholders, we found that village doctors had limited capacity in caring for village-dwelling stroke patients in rural areas. Primary health care workers demonstrated real needs in receiving appropriate training and support from the mHealth system as well as great interests in using the mHealth technologies and tools. Using these findings, we designed a multifaceted mHealth system with 7 functional modules by following the iterative user-centered design and software development approach. The mHealth system, aimed at 3 different types of users (village doctors, town physicians, and county managers), was developed and utilized in a cluster-randomized controlled trial by 25 village doctors in a resource-limited county in rural China to manage 637 stroke patients between July 2017 and July 2018. In the end, a survey on the usability and functions of the mHealth system among village doctors (the dominant group of users, response rate=96%, 24/25) revealed that most of them were satisfied with the essential functions provided (71%) and were keen to continue using it (92%) after the study.

CONCLUSIONS

The mHealth system was feasible for assisting primary health care providers in rural China in delivering the SINEMA service on the secondary prevention of stroke. Further research and initiatives in scaling up the SINEMA approach and this mHealth system to other resource-limited regions in China and beyond will likely enhance the quality and accessibility of essential secondary prevention among stroke patients.

CLINICALTRIAL

ClinicalTrials.gov NCT03185858; https://clinicaltrials.gov/ct2/show/NCT03185858.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1016/j.ahj.2018.08.015.

Patient Attitudes and Their Awareness Towards Skin Cancer-Related Apps: Cross-Sectional Survey

BACKGROUND

In the emerging era of digitalization and electronic health, skin cancer-related apps represent useful tools to support dermatologic consultation and examination. Yet, little is known about how patients perceive the value of such apps.

OBJECTIVE

The aim of this study was to investigate patient attitudes and their awareness toward skin cancer-related apps.

METHODS

A cross-sectional study including 200 patients from the oncological outpatient unit was conducted at the University Hospital (LMU Munich, Germany) between September and December 2018. Patients were asked to complete a self-administered questionnaire on the popularity and usefulness of health-related and skin cancer-related apps. A descriptive analysis was performed with the expression of categorical variables as frequencies and percentages. For continuous variables, the median and range were indicated. Contingency tables and chi-square tests were performed to investigate associations between sociodemographic data and selected items of the questionnaire.

RESULTS

A total of 98.9% (195/197) of patients had never used skin cancer-related apps or could not remember. In 49.7% (93/187) of cases, patients were unsure about the usefulness of skin cancer apps, whereas 42.6% (78/183) thought that skin cancer apps could supplement or support the professional skin examination performed by a physician. However, 47.9% (90/188) were interested in acquiring more information by their dermatologists about skin cancer apps. Young age (P=.002), male gender (P=.02), a previous history of melanoma (P=.004), and higher educational level (P=.002) were significantly associated with a positive attitude. Nevertheless, 55.9% (105/188) preferred a printed patient brochure on skin cancer to downloading and using an app.

CONCLUSIONS

The experience and knowledge of skin cancer-related apps was surprisingly low in this population, although there was a high general interest in more information about such apps. Printed patient brochures were the preferred information source.

Evaluating student perceptions of a multi-platform classroom response system in undergraduate nursing

BACKGROUND

Classroom response systems (CRSs) support interactive learning in undergraduate nursing education. Simple "clicker" hardware has evolved into more sophisticated multi-platform software allowing multiple operating systems and devices including smartphones, tablets and laptops to enhance in-class, proximate student engagement. However, student perspectives of multi-platform mobile CRSs have not been assessed among undergraduate nursing students.

OBJECTIVES

To evaluate undergraduate nursing student perceptions of usability, engagement, and learning associated with Top Hat™ CRS software.

METHODS

This descriptive study utilized a cross sectional survey of undergraduate Bachelor of Nursing Science (BNSc) students enrolled in a four-year (n = 160) and a two-year (n = 75) accelerated program. Descriptive statistics were used to evaluate learner perceptions of usability, engagement, and learning, measured using the Classroom Response System Perceptions (CRiSP) questionnaire. Thematic analysis was used to examine data from open-ended questions designed to capture qualitative feedback related to the perceived benefits, limitations and the technology's impact on learning.

RESULTS

Students perceived the use of the CRS, TopHat™, as a positive influence on classroom learning. The mean CRiSP scores for all subscales [usability 16.51 (SD 2.7), engagement 40.97 (SD 7.2), learning 43.96 (SD 6.8)] correlated with "agree" or "strongly agree". There was no statistical difference among CRiSP scores between the two programs. Students reported that CRS in the classroom improved learning, enhanced formative assessment and increased participation. Perceived limitations include practical drawbacks such as redundant features, technical difficulties, limited access and cost. Moreover, some students felt that it did not add value to teaching as it was disruptive to classroom time.

CONCLUSIONS

This study addresses a gap in the nursing education literature and contributes to the growing body of scientific knowledge related to using technology in proximal classroom teaching. One multi-platform CRS, TopHat™, did enhance learning but important recommendations and limitations should be considered before implementing this technology.

Clinical apps and public service settings: Innovations, diverse applications, and limits

Smartphone applications are rapidly increasing. Their range of uses is also expanding. "Clinical apps," those used with psychological and behavioral problems, are also growing. The research literature on clinical apps has not kept pace with innovation. There is a need to understand the current state of clinical apps, particularly their relevance for public service settings. This article introduces the special issue regarding clinical apps for use in public service (and other) settings. Each of the 15 articles in this special issue, which covers topics including apps reviews, empirical data on test equivalence, culture and ethics challenges, and apps for specific clinical problems such as hazardous drinking and autism spectrum disorders, are described. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Mobile Apps for Increasing Treatment Adherence: Systematic Review

BACKGROUND

It is estimated that 20% to 50% of patients do not take their medication correctly, and this leads to increased morbidity and inefficacy of therapeutic approaches. Fostering treatment adherence is a priority objective for all health systems. The growth of mobile apps to facilitate therapeutic adherence has significantly increased in recent years. However, the effectiveness of the apps for this purpose has not been evaluated.

OBJECTIVE

This study aimed to analyze whether mobile apps are perceived as useful for managing medication at home and if they actually contribute to increasing treatment adherence in patients.

METHODS

We carried out a systematic review of research published using Scopus, Cochrane Library, ProQuest, and MEDLINE databases and analyzed the information about their contribution to increasing therapeutic adherence and the perceived usefulness of mobile apps. This review examined studies published between 2000 and 2017.

RESULTS

Overall, 11 studies fulfilled the inclusion criteria. The sample sizes of these studies varied between 16 and 99 participants. In addition, 7 studies confirmed that the mobile app increased treatment adherence. In 5 of them, the before and after adherence measures suggested significant statistical improvements, when comparing self-reported adherence and missed dose with a percentage increase ranging between 7% and 40%. The users found mobile apps easy to use and useful for managing their medication. The patients were mostly satisfied with their use, with an average score of 8.1 out of 10.

CONCLUSIONS

The use of mobile apps helps increase treatment adherence, and they are an appropriate method for managing medication at home.

Adherence of popular smoking cessation mobile applications to evidence-based guidelines

BACKGROUND

Smoking remains one of the major preventable causes of chronic diseases. Considering the promising evidence on the effectiveness of mobile technology for health behaviour change, along with the increasing adoption of smartphones, this review aims to systematically assess the adherence of popular mobile apps for smoking cessation to evidence-based guidelines.

METHODS

The United Kingdom Android and iOS markets were searched in February 2018 to identify smoking cessation apps. After screening, 125 Android and 15 iOS apps were tested independently by two reviewers for adherence to the National Institute of Care and Excellence (NICE) Smoking Cessation Guidelines for Self-Help Materials and the Five A Guidelines for Smoking Cessation. Pearson chi square tests were run to examine differences between the two operating systems.

RESULTS

A majority of apps across both operating systems had low adherence (fulfils 1-2 out of 5 guidelines) to the Five A Guidelines (65.7%) and low adherence (fulfils 1-3 out of 9 guidelines) to the NICE Smoking Cessation Guidelines for Self-Help Materials (63.6%). Only 15% of mobile apps provided information about the benefits of nicotine replacement therapy (NRT), and even fewer provided information regarding types of NRT products (7.1%) or how to use them (2.1%). In addition, only a minority of apps arrange follow-up appointments or provide additional support to help smokers quit.

CONCLUSION

Similar to previous mobile app reviews dating back to 2014, our findings show that most mobile apps do not follow existing smoking cessation treatment guidelines, indicating little change regarding the availability of evidence-based mobile apps for smoking cessation in the UK market. Smokers seeking to quit, tobacco control policy makers and software developers need to work together to develop apps that are in line with the latest clinical guidelines and strategies to maximise effectiveness.

Seeking coherence between 'mobile learning' applications and the everyday lives of medical residents

INTRODUCTION

The role of technology in health professions education has received increased research attention. Research has examined the interaction between humans and technology, focusing on the mutual influence between people and technology. Little attention has been given to the role of motivation and incentives in how learning technologies are used in relation to daily activities. This research aims to understand the relationship between medical-learning technology and its users.

METHODS

A mixed-method case study of a new medical-learning mobile application (app) for family medicine residents was undertaken at a Canadian university hospital. The Information Assessment Method is a custom-made app to help residents prepare for the College of Family Physicians of Canada licensing examination. Residents' use of the app was tracked over a 7-month period and individual, semi-structured interviews were conducted with users. Data were thematically analyzed and correlated with app use data.

RESULTS

Factors identified as shaping residents' mobile app use for learning, included: efficiency, mobility and resonance with life context; credibility of information retrieved; and relevance of content. Most influential was stage of residency. Second-year residents were more selective and strategic than first-year residents in their app use.

DISCUSSION

An emphasis on coherence between self-directed learning and externally dictated learning provides a framework for understanding the relationship between users and mobile-learning technology. This framework can guide the design, implementation and evaluation of learning interventions for healthcare professionals and learners.

Life with FOCUS: A qualitative evaluation of the impact of a smartphone intervention on people with serious mental illness

OBJECTIVE

A growing body of literature indicates that mobile health (mHealth) interventions that utilize smartphones for illness management are feasible, acceptable, and clinically promising. In this study, we examine how individuals with serious mental illness use a mHealth intervention-FOCUS-to self-manage their illnesses. Additionally, we explored participant perceptions of the intervention's impact on their subjective illness experience.

METHOD

We analyzed qualitative data from 30 individuals with serious mental illness who participated in 1 of 2 community-based, 3-month trials of FOCUS. In Study 1, weekly calls were conducted by a mHealth specialist to facilitate and enhance intervention use. In Study 2, researchers conducted qualitative interviews to gather detailed perspectives of intervention use. Data were sampled from the weekly call notes and qualitative interviews and analyzed using a thematic and collaborative approach.

RESULTS

Thematic analyses revealed 6 recurring themes. Three themes emerged in regard to participants' ongoing daily use of FOCUS: "back-up" support, symptom management, and self-awareness. Another 3 themes emerged related to the intervention's impact on participants' recovery processes: acceptance of symptoms, motivation and supporting positive outlook.

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

This qualitative study offers insight into how individuals with serious mental illness made use of a mHealth intervention designed to support illness self-management. Our findings suggest that individuals may benefit differently from mHealth interventions depending on where they are in the recovery process. As mHealth interventions become increasingly popular in clinical settings, it is important to understand consumers' short-term and long-term benefits from these interventions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study

BACKGROUND

The Ten Top Tips (10TT) is an intervention based on the habit formation theory that promotes a set of weight management behaviors alongside advice about repetition in a consistent context. Overall, 3 studies have demonstrated that the 10TT can support individuals to lose weight when delivered in a leaflet format. Delivery of 10TT via new technology such as a mobile app could potentially improve its effectiveness and make it more convenient, appealing, and wide reaching.

OBJECTIVE

This study aimed to provide preliminary indications of the usage, effectiveness, and acceptability of an Android app of the 10TT intervention (Top Tips only app) and a second version including self-regulatory strategies for dealing with tempting foods (Top Tips plus app).

METHODS

The 3-month pilot randomized adults with overweight or obesity to (1) Top Tips only app, (2) Top Tips plus app, or (3) waiting list condition. Automated data from app users were collected. Validated questionnaires assessed self-regulatory skills, weight loss (kg), and behaviors at baseline and 3 months. Users' feedback on their experience using the app was assessed using open questions.

RESULTS

A total of 81 participants took part in the pilot; 28 participants were randomized to the Top Tips only app, 27 to the Top Tips plus app, and 26 to the waiting list condition. On average, participants viewed a mean of 43.4 (SD 66.9) screens during a mean of 24.5 (SD 44.07) log-ins and used the app for 124.2 (SD 240.2) min over the 3-month period. Participants randomized to the Top Tips only app reported the greatest improvement in self-regulatory skills (mean 0.59, SD 1.0), weight loss (mean 4.5 kg, SD 5.2), and adherence to the target behaviors (mean 0.59, SD 0.49) compared with the Top Tips plus (meanself-regulation 0.15, SD 0.42; meanweight -1.9, SD 3.9; and meanbehaviors 0.29, SD 0.29) and waiting list condition (meanself-regulation -0.02, SD 0.29; meanweight -0.01, SD 0.51; and meanbehaviors 0.08, SD 0.38). Participants who reported the largest improvements, on average, viewed pages 2 to 3 times more, had 2 to 3 times more log-ins, logged their weight 2 to 3 times more, and achieved the tips more than those who reported smaller changes in these outcomes. According to users' feedback, engagement with the app could be increased by making the app more interactive and allowing more tailoring.

CONCLUSIONS

This study suggests that the Top Tips app could potentially be a useful intervention for promoting eating self-regulatory skills, weight loss, and weight management behaviors among adults with overweight or obesity. Future research should develop the app further based on user feedback and test it in larger sample sizes.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN10470937; http://www.isrctn.com/ISRCTN10470937 (Archived by Webcite at http://www.webcitation.org/76j6rQibI).

[Requirements for CE-marking of apps and wearables]

Depending on the intended use, apps and wearables can be medical devices. In such cases, the manufacturer has to provide evidence that the requirements stated in directive 93/42/EWG are fulfilled. Depending on the classification of the medical device, several so-called conformity assessment procedures are possible. Once the conformity assessment procedure has been finished successfully, the manufacturer attaches the CE-marking to the product. This assures that all requirements of the directive have been fulfilled and the manufacturer is therefore authorized to put the product onto the market in all member states of the European union. In this article, the possible and practical conformity assessment procedures for apps and wearables are described and their implementation is outlined.For medical devices with sufficiently high-risk classification, the manufacturer has to involve a Notified Body. For the conformity assessment procedure according to annex II, the manufacturer implements a full quality management system and compiles technical documentation. These are supervised and evaluated by Notified Body audits. Especially for startups, it is important for the development of apps and wearables to implement a quality management system early and to fulfill the regulatory requirements, for example, related to the software life-cycle model. This also includes considering accompanying processes during development like risk management, usability engineering, and clinical evaluation.Additionally, it should be pointed out, that according to the new medical device regulation almost all apps will fall at least into class IIa. Thus, the involvement of a Notified Body in the related conformity assessment procedures would be required. Apps that have already been put onto the market as class I devices, and are now upgraded to a higher class, need the approval of a notified body starting from 26 May 2020.

How private is your mental health app data? An empirical study of mental health app privacy policies and practices

Digital mental health services are increasingly endorsed by governments and health professionals as a low cost, accessible alternative or adjunct to face-to-face therapy. App users may suffer loss of personal privacy due to security breaches or common data sharing practices between app developers and third parties. Loss of privacy around personal health data may harm an individual's reputation or health. The purpose of this project was to identify salient consumer issues related to privacy in the mental health app market and to inform advocacy efforts towards promoting consumer interests. We conducted a critical content analysis of promotional (advertising) materials for prominent mental health apps in selected dominant English-speaking markets in late 2016-early 2017, updated in 2018. We identified 61 prominent mental health apps, 56 of which were still available in 2018. Apps frequently requested permission to access elements of the user's mobile device, including requesting so-called 'dangerous' permissions. Many apps encouraged users to share their own data with an online community. Nearly half of the apps (25/61, 41%) did not have a privacy policy to inform users about how and when personal information would be collected and retained or shared with third parties, despite this being a standard recommendation of privacy regulations. We consider that the app industry pays insufficient attention to protecting the privacy of mental health app users. We advocate for increased monitoring and enforcement of privacy principles and practices in mental health apps and the mobile ecosystem, more broadly. We also suggest a re-framing of regulatory attention that places consumer interests at the centre of guidance.

Image-Based Mobile System for Dietary Management in an American Cardiology Population: Pilot Randomized Controlled Trial to Assess the Efficacy of Dietary Coaching Delivered via a Smartphone App Versus Traditional Counseling

BACKGROUND

Randomized controlled trials conducted in Mediterranean countries have shown that the Mediterranean diet lowers adverse cardiovascular events. In the American population, diet remains the biggest uncontrolled risk factor for cardiovascular disease.

OBJECTIVE

This study aimed to test the hypothesis that asynchronous dietary counseling supplied through a custom smartphone app results in better adherence to a Mediterranean diet in a non-Mediterranean population than traditional standard-of-care (SOC) counseling.

METHODS

In total, 100 patients presenting to the cardiology clinic of an academic medical center were randomized to either the SOC or smartphone app-based experimental (EXP) Mediterranean diet intervention after informed consent and 1 hour of individual face-to-face dietary counseling with a registered dietitian. Participants in EXP received a custom smartphone app that reinforced the Mediterranean diet, whereas participants in SOC received 2 additional sessions of in-person dietary counseling with the registered dietitian-30 min at 1 month and 30 min at 3 months. Preexisting knowledge of a Mediterranean diet was measured by the validated Mediterranean Diet Score (MDS) instrument. Baseline height, weight, blood pressure (BP), and laboratory biomarkers were collected. At 1, 3, and 6 months, participants presented for a follow-up appointment to assess compliance to the Mediterranean diet using the MDS as well as a patient satisfaction survey, BP, and weight. Repeat laboratory biomarkers were performed at 3 and 6 months.

RESULTS

Enrolled participants had a mean age with SE of 56.6 (SD 1.7) for SOC and 57.2 (SD 1.8) for EXP; 65.3% of SOC and 56.9% of EXP were male, and 20.4% of SOC and 35.3% of EXP had coronary artery disease. There were no significant differences between EXP and SOC with regard to BP, lipid parameters, hemoglobin A1c, or C-reactive protein (CRP). Participants in EXP achieved a significantly greater weight loss on average of 3.3 pounds versus 3.1 pounds for participants in SOC, P=.04. Adherence to the Mediterranean diet increased significantly over time for both groups (P<.001), but there was no significant difference between groups (P=.69). Similarly, there was no significant difference in diet satisfaction between EXP and SOC, although diet satisfaction increased significantly over time for both groups. The proportion of participants with high Mediterranean diet compliance (defined as the MDS ≥9) increased significantly over time (P<.001)-from 18.4% to 57.1% for SOC and 27.5% to 64.7% for EXP; however, there was no significant difference between the groups.

CONCLUSIONS

Both traditional SOC counseling and smartphone-based counseling were effective in getting participants to adhere to a Mediterranean diet, and these dietary changes persisted even after counseling had ended. However, neither method was more effective than the other. This pilot study demonstrates that patients can change to and maintain a Mediterranean diet with either traditional or smartphone app-based nutrition counseling.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03897426;https://clinicaltrials.gov/ct2/show/NCT03897426.

Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation

IMPORTANCE

Inadequate privacy disclosures have repeatedly been identified by cross-sectional surveys of health applications (apps), including apps for mental health and behavior change. However, few studies have assessed directly the correspondence between privacy disclosures and how apps handle personal data. Understanding the scope of this discrepancy is particularly important in mental health, given enhanced privacy concerns relating to stigma and negative impacts of inadvertent disclosure. Because most health apps fall outside government regulation, up-to-date technical scrutiny is essential for informed decision making by consumers and health care professionals wishing to prescribe health apps.

OBJECTIVE

To provide a contemporary assessment of the privacy practices of popular apps for depression and smoking cessation by critically evaluating privacy policy content and, specifically, comparing disclosures regarding third-party data transmission to actual behavior.

DESIGN AND SETTING

Cross-sectional assessment of 36 top-ranked (by app store search result ordering in January 2018) apps for depression and smoking cessation for Android and iOS in the United States and Australia. Privacy policy content was evaluated with prespecified criteria. Technical assessment of encrypted and unencrypted data transmission was performed. Analysis took place between April and June 2018.

MAIN OUTCOMES AND MEASURES

Correspondence between policies and transmission behavior observed by intercepting sent data.

RESULTS

Twenty-five of 36 apps (69%) incorporated a privacy policy. Twenty-two of 25 apps with a policy (88%) provided information about primary uses of collected data, while only 16 (64%) described secondary uses. While 23 of 25 apps with a privacy policy (92%) stated in a policy that data would be transmitted to a third party, transmission was detected in 33 of all 36 apps (92%). Twenty-nine of 36 apps (81%) transmitted data for advertising and marketing purposes or analytics to just 2 commercial entities, Google and Facebook, but only 12 of 28 (43%) transmitting data to Google and 6 of 12 (50%) transmitting data to Facebook disclosed this.

CONCLUSIONS AND RELEVANCE

Data sharing with third parties that includes linkable identifiers is prevalent and focused on services provided by Google and Facebook. Despite this, most apps offer users no way to anticipate that data will be shared in this way. As a result, users are denied an informed choice about whether such sharing is acceptable to them. Privacy assessments that rely solely on disclosures made in policies, or are not regularly updated, are unlikely to uncover these evolving issues. This may limit their ability to offer effective guidance to consumers and health care professionals.

A technology-enabled electronic incident report to document and facilitate management of sport concussion: A cohort study of youth and young adults

Despite the widespread awareness of concussion across all levels of sport, the management of concussion from youth to college is inconsistent and fragmented. A fundamental gap contributing to inconsistent care is the lack of a scalable, systematic approach to document initial injury characteristics following concussion. The purpose of this study was to determine differences in injury profiles and management of youth, high school, and college athletes using a mobile application for incident report documentation.A cohort study was conducted in which concussion electronic incident report data from 46 high schools and colleges, and Cleveland Clinic ambulatory concussion clinics were gathered and analyzed.In sum, 1421 (N = 88 youth, N = 1171 high school and N = 162 college) athletes with sport-related concussions were included.Despite the relative absence of red flags, youth athletes had a greater probability of being sent to the emergency department than high school and collegiate athletes. Over 60% of athletes were removed from play immediately post-injury. Injury recognition was delayed in 25% of athletes due to delayed symptom reporting (20% of males, 16% of females) or delayed symptom onset (5% of males, 9% of females). A significantly greater incidence of red flags was evident in males, and in high school and collegiate athletes compared to youth athletes.The high frequency of youth athletes sent to the emergency department, despite the absence of red flags, may be a reflection of inadequate medical coverage at youth events, ultimately resulting in unnecessary utilization of emergency medicine services. The relatively high incidence of delayed injury reporting implies that additional educational efforts targeting student-athletes and the utilization of resources to improve injury detection are warranted. The systematic collection of injury-related demographics through the electronic mobile application facilitated interdisciplinary communication and improved the efficiency of managing athletes with concussion.