Mobile Technology Use in Clinical Research Examining Challenges and Implications for Health Promotion in South Africa: Mixed Methods Study

BACKGROUND

The use of mobile technologies in fostering health promotion and healthy behaviors is becoming an increasingly common phenomenon in global health programs. Although mobile technologies have been effective in health promotion initiatives and follow-up research in higher-income countries and concerns have been raised within clinical practice and research in low- and middle-income settings, there is a lack of literature that has qualitatively explored the challenges that participants experience in terms of being contactable through mobile technologies.

OBJECTIVE

This study aims to explore the challenges that participants experience in terms of being contactable through mobile technologies in a trial conducted in Soweto, South Africa.

METHODS

A convergent parallel mixed methods research design was used. In the quantitative phase, 363 young women in the age cohorts 18 to 28 years were contacted telephonically between August 2019 and January 2022 to have a session delivered to them or to be booked for a session. Call attempts initiated by the study team were restricted to only 1 call attempt, and participants who were reached at the first call attempt were classified as contactable (189/363, 52.1%), whereas those whom the study team failed to contact were classified as hard to reach (174/363, 47.9%). Two outcomes of interest in the quantitative phase were "contactability of the participants" and "participants' mobile number changes," and these outcomes were analyzed at a univariate and bivariate level using descriptive statistics and a 2-way contingency table. In the qualitative phase, a subsample of young women (20 who were part of the trial for ≥12 months) participated in in-depth interviews and were recruited using a convenience sampling method. A reflexive thematic analysis approach was used to analyze the data using MAXQDA software (version 20; VERBI GmbH).

RESULTS

Of the 363 trial participants, 174 (47.9%) were hard to reach telephonically, whereas approximately 189 (52.1%) were easy to reach telephonically. Most participants (133/243, 54.7%) who were contactable did not change their mobile number. The highest percentage of mobile number changes was observed among participants who were hard to reach, with three-quarters of the participants (12/16, 75%) being reported to have changed their mobile number ≥2 times. Eight themes were generated following the analysis of the transcripts, which provided an in-depth account of the reasons why some participants were hard to reach. These included mobile technical issues, coverage issues, lack of ownership of personal cell phones, and unregistered number.

CONCLUSIONS

Remote data collection remains an important tool in public health research. It could, thus, serve as a hugely beneficial mechanism in connecting with participants while actively leveraging the established relationships with participants or community-based organizations to deliver health promotion and practice.

Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care System

BACKGROUND

Consumer wearable devices with health and wellness features are increasingly common and may enhance disease detection and management. Yet studies informing relationships between wearable device use, attitudes toward device data, and comprehensive clinical profiles are lacking.

METHODS AND RESULTS

WATCH-IT (Wearable Activity Tracking for Comprehensive Healthcare-Integrated Technology) studied adults receiving longitudinal primary or ambulatory cardiovascular care in the Mass General Brigham health care system from January 2010 to July 2021. Participants completed a 20-question electronic survey about perceptions and use of consumer wearable devices, with responses linked to electronic health records. Multivariable logistic regression was used to identify factors associated with device use. Among 214 992 individuals receiving longitudinal primary or cardiovascular care with an active electronic portal, 11 121 responded (5.2%). Most respondents (55.8%) currently used a wearable device, and most nonusers (95.3%) would use a wearable if provided at no cost. Although most users (70.2%) had not shared device data with their doctor previously, most believed it would be very (20.4%) or moderately (34.4%) important to share device-related health information with providers. In multivariable models, older age (odds ratio [OR], 0.80 per 10-year increase [95% CI, 0.77-0.82]), male sex (OR, 0.87 [95% CI, 0.80-0.95]), and heart failure (OR, 0.75 [95% CI, 0.63-0.89]) were associated with lower odds of wearable device use, whereas higher median income (OR, 1.08 per 1-quartile increase [95% CI, 1.04-1.12]) and care in a cardiovascular medicine clinic (OR, 1.17 [95% CI, 1.05-1.30]) were associated with greater odds of device use.

CONCLUSIONS

Among patients in primary and cardiovascular medicine clinics, consumer wearable device use is common, and most users perceive value in wearable health data.

Researched Apps Used in Dementia Care for People Living With Dementia and Their Informal Caregivers: Systematic Review on App Features, Security, and Usability

BACKGROUND

Studies have shown that mobile apps have the potential to serve as nonpharmacological interventions for dementia care, improving the quality of life of people living with dementia and their informal caregivers. However, little is known about the needs for and privacy aspects of these mobile apps in dementia care.

OBJECTIVE

This review seeks to understand the landscape of existing mobile apps in dementia care for people living with dementia and their caregivers with respect to app features, usability testing, privacy, and security.

METHODS

ACM Digital Library, Cochrane Central Register of Controlled Trials, Compendex, Embase, Inspec, Ovid MEDLINE, PsycINFO, and Scopus were searched. Studies were included if they included people with dementia living in the community, their informal caregivers, or both; focused on apps in dementia care using smartphones or tablet computers; and covered usability evaluation of the app. Records were independently screened, and 2 reviewers extracted the data. The Centre for Evidence-Based Medicine critical appraisal tool and Mixed Methods Appraisal Tool were used to assess the risk of bias in the included studies. Thematic synthesis was used, and the findings were summarized and tabulated based on each research aim.

RESULTS

Overall, 44 studies were included in this review, with 39 (89%) published after 2015. In total, 50 apps were included in the study, with more apps developed for people living with dementia as end users compared with caregivers. Most studies (27/44, 61%) used tablet computers. The most common app feature was cognitive stimulation. This review presented 9 app usability themes: user interface, physical considerations, screen size, interaction challenges, meeting user needs, lack of self-awareness of app needs, stigma, technological inexperience, and technical support. In total, 5 methods (questionnaires, interviews, observations, logging, and focus groups) were used to evaluate usability. There was little focus on the privacy and security aspects, including data transfer and protection, of mobile apps for people living with dementia.

CONCLUSIONS

The limitations of this review include 1 reviewer conducting the full-text screening, its restriction to studies published in English, and the exclusion of apps that lacked empirical usability testing. As a result, there may be an incomplete representation of the available apps in the field of dementia care. However, this review highlights significant concerns related to the usability, privacy, and security of existing mobile apps for people living with dementia and their caregivers. The findings of this review provide a valuable framework to guide app developers and researchers in the areas of privacy policy development, app development strategies, and the importance of conducting thorough usability testing for their apps. By considering these factors, future work in this field can be advanced to enhance the quality and effectiveness of dementia care apps.

TRIAL REGISTRATION

PROSPERO CRD42020216141; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=216141.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1159/000514838.

Characteristics and Attitudes of Wearable Device Users and Non-Users in a Large Healthcare System

Introduction

Consumer wearable devices with health and wellness features are increasingly common and may enhance prevention and management of cardiovascular disease. However, the characteristics and attitudes of wearable device users versus non-users are poorly understood.

Methods

Wearable Activity Tracking for Comprehensive Healthcare-Integrated Technology (WATCH-IT) was a prospective study of adults aged ≥18 years receiving longitudinal primary or ambulatory cardiovascular care at one of eleven hospitals within the Mass General Brigham multi-institutional healthcare system between January 2010-July 2021. We invited patients, including wearable users and non-users, to participate via an electronic patient portal. Participants were asked to complete a 20-question survey regarding perceptions and use of consumer wearable devices. Responses were linked to electronic health record data. Multivariable logistic regression was used to identify factors associated with device use.

Results

Among 280,834 individuals receiving longitudinal primary or cardiovascular care, 65,842 did not have an active electronic portal or opted out of research contact. Of the 214,992 individuals sent a survey link, 11,121 responded (5.2%), comprising the WATCH-IT patient sample. Most respondents (55.8%) reported current use of a wearable device, and most non-users (95.3%) reported they would use a wearable device if provided at no cost. Although most users (70.2%) had not shared device data with their doctor previously, the majority believed it would be very (20.4%) or moderately (34.4%) important to share device-related health information with providers. In multivariable models, older age (odds ratio [OR] 0.80 per 10-year increase, 95% CI 0.77-0.82), male sex (0.87, 95% CI 0.80-0.95), and heart failure (0.75, 95% CI 0.63-0.89) were associated with lower odds of wearable device use, whereas higher median zip code income (1.08 per 1-quartile increase, 95% CI 1.04-1.12) and care in a cardiovascular medicine clinic (1.17, 95% CI 1.05-1.30) were associated with greater odds of device use. Nearly all respondents (98%) stated they would share device data with researchers studying health outcomes.

Conclusions

Within an electronically assembled cohort of patients in primary and cardiovascular medicine clinics with linkage to detailed health records, wearable device use is common. Most users perceive value in wearable data. Our platform may enable future study of the relationships between wearable technology and resource utilization, clinical outcomes, and health disparities.

Mobile Devices and Sensors for an Educational Multimedia Opera Project

Interactive computer-based music systems form a rich area for the exploration of collaborative systems where sensors play an active role and are important to the design process. The Soundcool system is a collaborative and educational system for sound and music creation as well as multimedia scenographic projects, allowing students to produce and modify sounds and images with sensors, smartphones and tablets in real time. As a real-time collaborative performance system, each performance is a unique creation. In a comprehensive educational project, Soundcool is used to extend the sounds of traditional orchestral instruments and opera singers with electronics. A multidisciplinary international team participates, resulting in different performances of the collaborative multimedia opera The Mother of Fishes in countries such as Spain, Romania, Mexico and the USA.

Potential of social engagement for overcoming barriers to physical activity in individuals with spinal cord injury

Introduction

Many barriers to physical activity (PA) exist for individuals with spinal cord injury (SCI). Social engagement may improve motivation to perform PA, which in turn may increase PA levels. This pilot study investigates how social engagement facilitated by mobile technology may reduce lack of motivation as a barrier to PA in individuals with SCI and demonstrates design implications for future technologies.

Methods

A user-needs survey was conducted with participants in the community. We recruited 26 participants (16 individuals with SCI and 10 family members or peers). A participatory design process using semi-structured interviews was used to identify themes relating to PA barriers.

Results

One theme related to PA barriers was lack of PA-focused forums to connect with peers. Participants with SCI considered connecting with other individuals with SCI more motivating than connecting with their family members. Another key finding was that participants with SCI did not perceive that personal fitness trackers were targeted towards wheelchair-based activities.

Conclusions

Engagement and communication with peers who have similar functional mobility levels and life experiences can potentially improve motivation for PA; however, PA-motivational platforms are not tailored towards wheelchair-users. Our preliminary findings show that some individuals with SCI are not satisfied with current mobile-technologies for wheelchair-based PA.

Technology Acceptance of a Mobile Application to Support Family Caregivers in a Long-Term Care Facility

BACKGROUND

Family caregivers are unpaid individuals who provide care to people with chronic conditions or disabilities. Family caregivers generally do not have formal care-related training. However, they are an essential source of care. Mobile technologies can benefit family caregivers by strengthening communication with care staff and supporting the monitoring of care recipients.

OBJECTIVE

We conducted a mixed-method study to evaluate the acceptance and usability of a mobile technology called the Smart Care System.

METHODS

Using convenience sampling, we recruited 27 family caregivers to evaluate the mobile Smart Care System (mSCS). In the quantitative phase, we administered initial and exit questionnaires based on the Unified Theory of Acceptance and Use of Technology. In the qualitative phase, we conducted focus groups to explore family caregivers' perspectives and opinions on the usability of the mSCS. With the quantitative data, we employed univariate, bivariate, and partial least squares analyses, and we used content analysis with the qualitative data.

RESULTS

We observed a high level of comfort using digital technologies among participants. On average, participants were caregivers for an average of 6.08 years (standard deviation [SD] = 6.63), and their mean age was 56.65 years (SD = 11.62). We observed a high level of technology acceptance among family caregivers (7.69, SD = 2.11). Behavioral intention (β = 0.509, p-value = 0.004) and facilitating conditions (β = 0.310, p-value = 0.049) were statistically significant and related to usage behavior. In terms of qualitative results, participants reported that the mobile application supported care coordination and communication with staff and provided peace of mind to family caregivers.

CONCLUSION

The technology showed high technology acceptance and intention to use among family caregivers in a long-term care setting. Facilitating conditions influenced acceptance. Therefore, it would be important to identify and optimize these conditions to ensure technology uptake.

Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies-An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries

Worldwide, non-adherence to tuberculosis (TB) treatment is problematic. Digital adherence technologies (DATs) offer a person-centered approach to support and monitor treatment. We explored adherence over time while using DATs. We conducted a meta-analysis on anonymized longitudinal adherence data for drug-susceptible (DS) TB (n = 4515) and drug-resistant (DR) TB (n = 473) populations from 11 DAT projects. Using Tobit regression, we assessed adherence for six months of treatment across sex, age, project enrolment phase, DAT-type, health care facility (HCF), and project. We found that DATs recorded high levels of adherence throughout treatment: 80% to 71% of DS-TB patients had ≥90% adherence in month 1 and 6, respectively, and 73% to 75% for DR-TB patients. Adherence increased between month 1 and 2 (DS-TB and DR-TB populations), then decreased (DS-TB). Males displayed lower adherence and steeper decreases than females (DS-TB). DS-TB patients aged 15−34 years compared to those >50 years displayed steeper decreases. Adherence was correlated within HCFs and differed between projects. TB treatment adherence decreased over time and differed between subgroups, suggesting that over time, some patients are at risk for non-adherence. The real-time monitoring of medication adherence using DATs provides opportunities for health care workers to identify patients who need greater levels of adherence support.

ABC Epatite Web App: raising health awareness in a mobile world

BACKGROUND

This paper presents the case study of a health campaign for mobile devices launched in Italy in 2019 aimed at raising viral hepatitis awareness. The research project "ABC epatite. Sviluppo di una app per la prevenzione delle epatiti virali e per la consapevolezza dei comportamenti a rischio", winner of the 2018 Digital Health Program of Gilead Italia, was carried out by the Italian National Research Council.

METHODS

The project entailed the development of a free Italian language Progressive Web App (PWA) providing current and scientifically validated information on viral hepatitis (A, B and C).

RESULTS

A mobile first PWA health awareness app was implemented (https://epatite.web.app) together with an Android app version. Diversified landing pages cater to two target audiences: general public and schools. An initial campaign was directed toward engaging schools in nine Italian regions.

CONCLUSIONS

Preliminary results based on the campaign directed toward Italian schools in just under half of its regions have shown promise on the feasibility of reaching large audiences and encouraging engagement on viral hepatitis prevention. A mobile first approach to health communication is a cost-effective way to help reaching the goal of eradicating viral hepatitis by reducing infections and deaths.

When Triggers Become Tigers: Taming the Autonomic Nervous System via Sensory Support System Modulation

Personalized recovery technologies may enable individuals with Substance Use Disorder (SUD) to monitor and manage acute craving and drug use urges in ways that improve drug-seeking decisions in real-time. Direct and indirect regulation of the autonomic nervous system through sensory input monitoring and modulation may enhance control over behavioral decisions and prevent relapse. A personalized sensory support system that monitors neurophysiological reactivity and offers non-pharmacological point-in-time personalized digital interventions may increase awareness of and control over craving reactivity. It is critical to be able to detect these warning signs and intervene early and effectively. The use of wearable technologies that assess point-in-time neurophysiological escalation and shape behavioral response through personalized interventions could be transformative in allowing individuals to better manage their recovery as they transition out of institutions and move back into community settings.

A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps

Mobile dietary record apps have been increasingly validated by studies with various study designs. This review aims to evaluate the overall accuracy of dietary record apps in measuring the intake of energy, macro- and micronutrients, and food groups in real-life settings and the designs of validation studies. We systematically searched mobile dietary record validation studies published during the period from 2013 to 2019. We identified 14 studies for the systematic review, of which 11 studies were suitable for meta-analyses on energy intake and 8 studies on macronutrient intake. Mean differences and SDs of nutrient estimations between the app and the reference method from studies were pooled using a random-effects model. All apps underestimated energy intake when compared with their reference methods, with a pooled effect of -202 kcal/d (95% CI: -319, -85 kcal/d); the heterogeneity of studies was 72%. After stratification, studies that used the same food-composition table for both the app and the reference method had a lower level of heterogeneity (0%) and a pooled effect of -57 kcal/d (95% CI: -116, 2 kcal/d). The heterogeneity of studies in the differences in carbohydrate, fat, and protein intake was 54%, 73%, and 80%, with the pooled effect of -18.8 g/d, -12.7 g/d, and -12.2 g/d, respectively, after excluding outliers. The intakes of micronutrients and food groups were statistically nonsignificantly underestimated by the apps in most cases. In conclusion, dietary record apps underestimated food consumption compared with traditional dietary assessment methods. Moreover, varying study designs have been found across studies. Recommended practices for conducting validation studies were formulated including considering biomarkers as the reference, testing in a larger and more representative study population for a longer period, avoiding the learning effect of each method, and comparing food group or food item consumption in addition to comparing energy and nutrient intakes.

Designing an IT Ecosystem for Pregnancy Care Management Based on Pervasive Technologies

Pregnancy care is a topic of interest for both academia and practitioners. Novel pervasive technologies and applications, such as mobile technologies, wearables and IoT, open a wide corpus of possibilities for fostering pregnancy care management, and reducing risks and problems, improving communication among stakeholders and society development. This article introduces a model of a pregnancy care IT ecosystem based on the integration of various services in a semantically enriched e-health ecosystem. As proof of concept, both the web and mobile applications that aim to help pregnant women and gynaecologists were designed and employed in a real environment. An evaluation of the developed ecosystem was performed on a sample of 500 pregnant women and 100 doctors. After pilot usage, a survey was used to collect the data from participants, and assess the acceptance of the developed system. Results show that quality, usability and usefulness are on a high level, and that both pregnant women and doctors are ready for more extensive use of the system. In addition, research findings imply that employing pervasive technologies could bring significant benefits to all the parties in pregnancy care systems.

Scientific Publication Patterns of Mobile Technologies and Apps for Posttraumatic Stress Disorder Treatment: Bibliometric Co-Word Analysis

Background

Mobile apps are viewed as a promising opportunity to provide support for patients who have posttraumatic stress disorder (PTSD). The development of mobile technologies and apps shows similar trends in PTSD treatment. Therefore, this emerging research field has received substantial attention. Consequently, various research settings are planned for current and further studies.

Objective

The aim of this study was to explore the scientific patterns of research domains related to mobile apps and other technologies for PTSD treatment in scholarly publications, and to suggest further studies for this emerging research field.

Methods

We conducted a bibliometric analysis to identify publication patterns, most important keywords, trends for topicality, and text analysis, along with construction of a word cloud for papers published in the last decade (2010 to 2019). Research questions were formulated based on the relevant literature. In particular, we concentrated on highly ranked sources. Based on the proven bibliometric approach, the data were ultimately retrieved from the Web of Science Core Collection (Clarivate Analytics).

Results

A total of 64 studies were found concerning the research domains. The vast majority of the papers were written in the English language (63/64, 98%) with the remaining article (1/64, 2%) written in French. The articles were written by 323 authors/coauthors from 11 different countries, with the United States predominating, followed by England, Canada, Italy, the Netherlands, Australia, France, Germany, Mexico, Sweden, and Vietnam. The most common publication type was peer-reviewed journal articles (48/64, 75%), followed by reviews (8/64, 13%), meeting abstracts (5/64, 8%), news items (2/64, 3%), and a proceeding (1/64, 2%). There was a mean of 6.4 papers published per year over the study period. There was a 100% increase in the number of publications published from 2016 to 2019 with a mean of 13.33 papers published per year during this latter period.

Conclusions

Although the number of papers on mobile technologies for PTSD was quite low in the early period, there has been an overall increase in this research domain in recent years (2016-2019). Overall, these findings indicate that mobile health tools in combination with traditional treatment for mental disorders among veterans increase the efficiency of health interventions, including reducing PTSD symptoms, improving quality of life, conducting intervention evaluation, and monitoring of improvements. Mobile apps and technologies can be used as supportive tools in managing pain, anger, stress, and sleep disturbance. These findings therefore provide a useful overview of the publication trends on research domains that can inform further studies and highlight potential gaps in this field.

The multifaceted role of mobile technologies as a strategy to combat COVID-19 pandemic

The coronavirus 2019 (COVID-19) outbreak in China rapidly spread throughout the world, becoming a threatening pandemic with unprecedented consequences. Mobile technologies have led to a revolution in health and their applicability in the context of COVID-19 is promising. In this commentary, we provide an overview of the role that mobile technologies play in the COVID-19 pandemic context and discuss the main issues associated. Four main domains stood out: health communication, prevention, support and research. Strengthening local surveillance systems, geographic contact tracing, support for clinical practice and data collection of real-time longitudinal data at the population level are some of the main advantages of the applications reported so far. The potential conflict to data privacy urges for discussion on their use in a responsible manner. Along with fair regulation and close monitoring of data collection and process, data anonymisation must be a standard and personal data must be deleted after its usage. Preparation is key for effective containment of a public health crisis and learning lessons on the role of mobile technologies is useful for future challenges in global health. It is noteworthy that their use must be driven by an equitable and inclusive orientation, and mostly integrated into an articulated policy to respond to the crisis.

Obesity and the Built Environment: A Reappraisal

The built environment (BE) has been viewed as an important determinant of health. Numerous studies have linked BE exposure, captured using a variety of methods, to diet quality and to area prevalence of obesity, diabetes, and cardiovascular disease. First-generation studies defined the neighborhood BE as the area around the home. Second-generation studies turned from home-centric to person-centric BE measures, capturing an individual's movements in space and time. Those studies made effective uses of global positioning system tracking devices and mobile phones, sometimes coupled with accelerometers and remote sensors. Activity space metrics explored travel paths, modes, and destinations to assess BE exposure that was both person and context specific. However, as measures of the contextual exposome have become ever more fine-grained and increasingly complex, connections to long-term chronic diseases with complex etiologies, such as obesity, are in danger of being lost. Furthermore, few studies on obesity and the BE have included intermediate energy balance behaviors, such as diet and physical activity, or explored the potential roles of social interactions or psychosocial pathways. Emerging survey-based applications that identify habitual destinations and associated travel patterns may become the third generation of tools to capture health-relevant BE exposures in the long term.

Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System

Various gait parameters can be used to assess the risk of falling in older adults. However, the state-of-the-art systems used to quantify gait parameters often come with high costs as well as training and space requirements. Gait analysis systems, which use mobile and commercially available cameras, can be an easily available, marker-free alternative. In a study with 44 participants (age ≥ 65 years), gait patterns were analyzed with three different systems: a pressure sensitive walkway system (GAITRite-System, GS) as gold standard, Motognosis Labs Software using a Microsoft Kinect Sensor (MKS), and a smartphone camera-based application (SCA). Intertrial repeatability showed moderate to excellent results for MKS (ICC(1,1) 0.574 to 0.962) for almost all measured gait parameters and moderate reliability in SCA measures for gait speed (ICC(1,1) 0.526 to 0.535). All gait parameters of MKS showed a high level of agreement with GS (ICC(2,k) 0.811 to 0.981). Gait parameters extracted with SCA showed poor reliability. The tested gait analysis systems based on different camera systems are currently only partially able to capture valid gait parameters. If the underlying algorithms are adapted and camera technology is advancing, it is conceivable that these comparatively simple methods could be used for gait analysis.

An Exploration of Virtual Reality Use and Application Among Older Adult Populations

Despite increased research on virtual reality (VR) platforms in recent years, there are very few studies that specifically examine its application within a gerontological context. This study examines the usability, preferences, and application considerations of a mobile VR platform by individually interviewing community-dwelling older adults both before and after trying the Samsung Gear VR. Participants were asked to self-select and view short VR videos (30 s-3 min) that were filmed within the local community (e.g., walking path and art museum). Semi-structured interview questions explored participant perceptions of using the device and was followed with two focus group sessions. Thematic analysis was employed when reviewing observational notes and transcribed audio recordings. Ten adults (aged 63-89) participated and themes identified include (a) usability, (b) video subject matter preferences, and (c) application. These themes highlighted both the challenges and opportunities of VR use among a wide range of older populations and provided greater insight with its exploration and application in future studies. This included potential use among those older adults who have notable functional limitations, such as those who are immobile, or reside within a care facility.

Evaluation of New Technology-Based Tools for Dietary Intake Assessment-An ILSI Europe Dietary Intake and Exposure Task Force Evaluation

BACKGROUND

New technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications.

METHODS

A comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes.

RESULTS

Most of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology.

CONCLUSIONS

Dietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.

Digital adherence technologies for the management of tuberculosis therapy: mapping the landscape and research priorities

Poor medication adherence may increase rates of loss to follow-up, disease relapse and drug resistance for individuals with active tuberculosis (TB). While TB programmes have historically used directly observed therapy (DOT) to address adherence, concerns have been raised about the patient burden, ethical limitations, effectiveness in improving treatment outcomes and long-term feasibility of DOT for health systems. Digital adherence technologies (DATs)-which include feature phone-based and smartphone-based technologies, digital pillboxes and ingestible sensors-may facilitate more patient-centric approaches for monitoring adherence, though available data are limited. Depending on the specific technology, DATs may help to remind patients to take their medications, facilitate digital observation of pill-taking, compile dosing histories and triage patients based on their level of adherence, which can facilitate provision of individualised care by TB programmes to patients with varied levels of risk. Research is needed to understand whether DATs are acceptable to patients and healthcare providers, accurate for measuring adherence, effective in improving treatment outcomes and impactful in improving health system efficiency. In this article, we describe the landscape of DATs that are being used in research or clinical practice by TB programmes and highlight priorities for research.

Informational Power and Perceived Collective Benefit Affecting the Users' Preference for a Mobile Technology: Evidences From a Survey Study

This study takes place from the idea that the personal usage of mobile technologies can bring positive outcomes to the user and to their society in an indirect way. Technologies studied in this work are defined as persuasive technologies (Fogg, 1997) because they are intentionally designed to modify the users’ attitude or behavior. This research is aimed to evaluate if the intention to use the application can be influenced by positive attitudes toward technology, by the persuasive power of the application and by the perceived fun. Participants (N = 118; M = 55; F = 63; mean age = 27.4; range age = 15–69) filled in an online questionnaire that was partly based on the Media and Technology Usage and Attitude Scale (MTUAS – Rosen et al., 2013). An additional eight items were added to the scale, aimed at evaluating participants’ technophobia, technophilia, perceived technology pervasiveness and perceived persuasive power of technology. By using linear regression analysis, it was found that the application’s informational power and the perceived entertainment positively influenced the usage intention. Another interesting result, obtained through ANOVA, concerns a generational difference: baby boomers tended to trust more the fact that the single individual action through the application can have an effective impact on the environment. These results represent a basis for future in-depth investigations about socially relevant use of the ICT.

The role of M-health applications in the fight against Alzheimer's: current and future directions

BACKGROUND

Alzheimer's disease has become a very significant problem in the current era that is very likely to worsen due to increasing life expectancy. The enormous potential of smart mobile devices has attracted researchers and medical practitioners alike to develop and provide M-health solutions for Alzheimer's. In this paper, we explore, analyze and investigate the works that have attempted to develop M-health applications for Alzheimer's over the last 10 years in order to highlight current and future directions, which it is hoped will assist medical practitioners and researchers to provide more solutions for fighting Alzheimer's.

METHODS

A systematic review approach was used in this study. Google Scholar is considered for searching the published papers for academic mobile applications and Google PlayStore is considered for non-academic mobile applications. More than 900 titles of various papers were reviewed. The selection of the papers was dictated by a set of inclusion and exclusion criteria.

RESULTS

Current directions are identified by presenting the services and functions that are provided by M-health applications for Alzheimer's patients and the technologies that are used to do so. Current services are classified into four groups and the future directions for each of these groups are presented.

CONCLUSIONS

Numerous M-health applications that fight against Alzheimer's have been surveyed and analyzed by using scientific methodology in which inclusion and exclusion criteria have been used. Based on this analysis, we were able to present the current research foci and define potential future research directions.

Violence exposure is associated with adolescents' same- and next-day mental health symptoms

BACKGROUND

Young people exposed to violence are at increased risk for mental health and behavioral problems. However, very little is known about the immediate, or same-day, associations between violence exposure and adolescents' mental health symptoms or whether daily symptom or behavioral reactivity marks future problems.

METHODS

Young adolescents were assessed three times a day for 30 consecutive days using mobile-phone-based Ecological Momentary Assessment (EMA) (N = 151 adolescents). Over 12,500 assessments and 4,329 person days were obtained via the EMA. Adolescents were recruited from low-income neighborhoods based on parent-reported risk for externalizing symptoms. Mental health symptoms were assessed via parent and child report at baseline, multiple times per day via EMA assessments of the adolescents, and again 18 months later when 93% of the adolescents were reinterviewed.

RESULTS

Results from multilevel models illustrated that young adolescents were more likely to experience symptoms of anger (OR = 1.74, CI: 1.31-2.30), depression (OR = 1.66, CI: 1.26-2.19), and conduct problems (OR = 2.63, CI: 1.71-4.04) on days that they were exposed versus not exposed to violence. Increases in depressive symptoms were also observed on days following violence exposure (OR = 1.46, CI: 1.09-1.97). Adolescents with the highest levels of violence exposure across the 30-day EMA were less behaviorally reactive to violence exposures in daily life, and heightened behavioral reactivity predicted increased risk for substance use across early adolescence.

CONCLUSIONS

Findings support the need to focus on both the immediate and long-term associations between violence exposure and adolescents' mental health and behavior. Results also suggest that heightened behavioral reactivity during early adolescence may signal emerging substance use problems.

Manual tracing versus smartphone application (app) tracing: a comparative study

OBJECTIVE

This study aimed to compare the results of conventional manual cephalometric tracing with those acquired with smartphone application cephalometric tracing.

MATERIALS AND METHODS

The cephalometric radiographs of 55 patients (25 females and 30 males) were traced via the manual and app methods and were subsequently examined with Steiner's analysis. Five skeletal measurements, five dental measurements and two soft tissue measurements were managed based on 21 landmarks. The durations of the performances of the two methods were also compared.

RESULTS

SNA (Sella, Nasion, A point angle) and SNB (Sella, Nasion, B point angle) values for the manual method were statistically lower (p < .001) than those for the app method. The ANB value for the manual method was statistically lower than that of app method. L1-NB (°) and upper lip protrusion values for the manual method were statistically higher than those for the app method. Go-GN/SN, U1-NA (°) and U1-NA (mm) values for manual method were statistically lower than those for the app method. No differences between the two methods were found in the L1-NB (mm), occlusal plane to SN, interincisal angle or lower lip protrusion values.

CONCLUSIONS

Although statistically significant differences were found between the two methods, the cephalometric tracing proceeded faster with the app method than with the manual method.

Online Teaching Tool for Sinus Surgery: Trends toward Mobile and Global Education

Objective

Online resources may provide an ideal forum for expert presentation of surgical techniques. The purpose of this study was to investigate utilization patterns of a sinus surgery website, SinusVideos.com, to gain insight into the needs of viewers.

Study Design

Retrospective analysis.

Setting

Surgical teaching website.

Subjects and Methods

The website’s anonymized analytic database was queried from 2009 to 2014. Quantified data included user demographics, geographic location, viewing device, page visits, and time spent on the website.

Results

A total of 428,691 website pages were viewed during the study period. Growth in viewership was observed each successive year since the site was launched. The mean time spent viewing webpages was 96.1 seconds for desktop computer users, 98.0 for tablet users, and 103.8 for mobile users. The percentage of mobile devices used to view the site increased significantly between 2009 and 2014 (2.1% vs 25.4%, respectively; P < .0001). The website’s viewership expanded globally, with a significant increase in site views from outside North America over this same period (18.4% vs 51.7%, P < .0001).

Conclusion

The observed increase in global participation and mobile device usage may reflect new areas of growth for surgical education.

Potential of mobile technologies and applications in the detection of mild cognitive impairment among older generation groups

At present, demographic changes result in the growing number of older people. This trend inevitably brings about serious social and economic issues, as well as occurrence of aging diseases. The purpose of this study is to discuss the potential of using mobile technologies and applications in the detection of aging disorders such as mild cognitive impairment. The methods used for this review study include a literature search in the world's acknowledged databases. The findings of this study indicate that mobile applications can serve as appropriate diagnostic tools for aging disorders such as mild cognitive impairment because they seem to provide better, faster, and less costly care for older people.

Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards

Research studies that leverage emerging technologies, such as passive sensing devices and mobile apps, have demonstrated encouraging potential with respect to favorably influencing the human condition. As a result, the nascent fields of mHealth and digital medicine have gained traction over the past decade as demonstrated in the United States by increased federal funding for research that cuts across a broad spectrum of health conditions. The existence of mHealth and digital medicine also introduced new ethical and regulatory challenges that both institutional review boards (IRBs) and researchers are struggling to navigate. In response, the Connected and Open Research Ethics (CORE) initiative was launched. The CORE initiative has employed a participatory research approach, whereby researchers and IRB affiliates are involved in identifying the priorities and functionality of a shared resource. The overarching goal of CORE is to develop dynamic and relevant ethical practices to guide mHealth and digital medicine research. In this Viewpoint paper, we describe the CORE initiative and call for readers to join the CORE Network and contribute to the bigger conversation on ethics in the digital age.

An integrative review of the impact of mobile technologies used by healthcare professionals to support education and practice

AIM

The aim of this study was to provide evidence of the impact of mobile technologies among healthcare professionals in education and practice settings.

DESIGN

Integrative literature review.

METHODS

Electronic databases including MEDLINE, CINAHL, PsycINFO, EMBASE, ERIC and Web of Science were searched for papers published between 2002-2012. Quantitative studies were critically evaluated based on Thomas et al.'s framework, while the consolidated criteria for reporting qualitative research was used to appraise the rigour of the qualitative studies.

RESULTS

Seventeen quantitative and three qualitative studies were included. The findings suggest a largely positive influence of mobile technologies on various clinical practice and educational outcomes. However, robust evidence was limited. Use of mobile technologies in health care are associated with improvements in access to information, accuracy and efficiency, evidence-based decision making at the point of care and enhancement in performance, confidence and engagement in different contexts.

Seven Fears and the Science of How Mobile Technologies May Be Influencing Adolescents in the Digital Age

Close to 90% of U.S. adolescents now own or have access to a mobile phone, and they are using them frequently. Adolescents send and receive an average of over 60 text messages per day from their devices, and over 90% of adolescents now access the Internet from a mobile device at least occasionally. Many adults are asking how this constant connectivity is influencing adolescents' development. In this article, we examine seven commonly voiced fears about the influence of mobile technologies on adolescents' safety (e.g., cyberbullying and online solicitation), social development (e.g., peer relationships, parent-child relationships, and identity development), cognitive performance, and sleep. Three sets of findings emerge. First, with some notable exceptions (e.g., sleep disruption and new tools for bullying), most online behaviors and threats to well-being are mirrored in the offline world, such that offline factors predict negative online experiences and effects. Second, the effects of mobile technologies are not uniform, in that benefits appear to be conferred for some adolescents (e.g., skill building among shy adolescents), whereas risk is exacerbated among others (e.g., worsening existing mental health problems). Third, experimental and quasi-experimental studies that go beyond a reliance on self-reported information are required to understand how, for whom, and under what conditions adolescents' interactions with mobile technologies influence their still developing social relationships, brains, and bodies.

Health workers' experiences, barriers, preferences and motivating factors in using mHealth forms in Ethiopia

BACKGROUND

Mobile health (mHealth) applications, such as innovative electronic forms on smartphones, could potentially improve the performance of health care workers and health systems in developing countries. However, contextual evidence on health workers' barriers and motivating factors that may influence large-scale implementation of such interfaces for health care delivery is scarce.

METHODS

A pretested semistructured questionnaire was used to assess health workers' experiences, barriers, preferences, and motivating factors in using mobile health forms on smartphones in the context of maternal health care in Ethiopia. Twenty-five health extension workers (HEWs) and midwives, working in 13 primary health care facilities in Tigray region, Ethiopia, participated in this study.

RESULTS

Over a 6-month period, a total of 2,893 electronic health records of 1,122 women were submitted to a central computer through the Internet. Sixteen (69.6%) workers believed the forms were good reminders on what to do and what questions needed to be asked. Twelve (52.2%) workers said electronic forms were comprehensive and 9 (39.1%) workers saw electronic forms as learning tools. All workers preferred unrestricted use of the smartphones and believed it helped them adapt to the smartphones and electronic forms for work purposes. With regards to language preference, 18 (78.3%) preferred using the local language (Tigrinya) version of the forms to English. Indentified barriers for not using electronic forms consistently include challenges related to electronic forms (for example, problem with username and password setting as reported by 5 (21.7%), smartphones (for example, smartphone froze or locked up as reported by 9 (39.1%) and health system (for example, frequent movement of health workers as reported by 19 (82.6%)).

CONCLUSIONS

Both HEWs and midwives found the electronic forms on smartphones useful for their day-to-day maternal health care services delivery. However, sustainable use and implementation of such work tools at scale would be daunting without providing technical support to health workers, securing mobile network airtime and improving key functions of the larger health system.

The promise of mobile technologies and single case designs for the study of individuals in their natural environment

Mobile technologies are growing rapidly around the world to broad demographics of society. These technologies hold great promise for their integration with Single Case Designs (SCDs) and the study of individuals in their natural environment. This paper discusses the theoretical, methodological and analytic implications of these tools for the advancement of the contextual behavioral etiology of behavioral disorders, and their remediation. We hope this paper will highlight the scientific advantages of combining mobile technologies and SCDs and encourage their adoption among CBS scientists.

Ecological Momentary Assessment and Alcohol Use Disorder Treatment

The ability to capture real-time data on human behavior inexpensively, efficiently, and accurately holds promise to transform and broaden our understanding of many areas of health science. One approach to acquiring this type of real-time data is ecological momentary assessment (EMA).This method has been used to collect data in many domains of addiction research, including research on the treatment of alcohol use disorders (AUDs). Empirical evidence supports the hypothesis that use of EMA can improve the quality of AUD treatment research when compared with standard assessment methods because it provides more accurate reporting, allows investigators to examine the dynamic unfolding of the behavior change process at an individual level, and can be used to augment and improve clinical assessment and treatment. Overall, the existing literature provides strong support for the advantages of EMA when combined with standard assessment of addictive behaviors in general. Nevertheless, use of EMA in AUD treatment research thus far has been limited, especially in the area of research on mechanisms of behavior change. Existing research indicates, however, that EMA can be used to deliver tailored feed- back as a novel and potentially transformative approach to improving AUD treatment. This research area clearly warrants additional future efforts.

Predictors of Self-Stigma in Schizophrenia: New Insights Using Mobile Technologies

OBJECTIVE

Self-stigma has significant negative impact on the recovery of individuals with severe mental illness, but its varying course is not well understood. Individual levels of self-stigma may vary over time and fluctuate in response to both external/contextual (i.e., location, activity, social company) and internal (i.e., psychiatric symptoms, mood) factors. The aim of this study was to examine the relationship between self-stigmatizing beliefs and these factors, as they occur in the daily life of individuals with schizophrenia.

METHODS

Mobile technologies were used to longitudinally track momentary levels of self-stigma, psychotic symptoms, negative affect, positive affect, activity, and immediate social and physical environment in twenty-four individuals with schizophrenia, multiple times daily, over a one-week period.

RESULTS

Multilevel modeling showed that participants' current activity was associated with changes in self-stigma (χ²= 10.53, p <0.05), but immediate location and social company were not. Time-lagged analyses found that increases in negative affect (β=0.11, p<0.01) and psychotic symptom severity (β=0.16, p<0.01) predicted increases in the intensity of self-stigmatizing beliefs. Psychotic symptoms were found to be both an antecedent and a consequence (β=0.08, p<0.01) of increased self-stigma.

CONCLUSIONS

Our findings support a framework for understanding self-stigma as an experience that changes based on alterations in internal states and external circumstances. Mobile technologies are an effective methodology to study self-stigma and have potential to be used to deliver clinical interventions.

Transforming global health with mobile technologies and social enterprises: global health and innovation conference

More than 2,000 people convened for the ninth annual Global Health and Innovation Conference at Yale University on April 21-22, 2012. Participants discussed the latest innovations, ideas in development, lessons learned, opportunities and challenges in global health activities. Several themes emerged, including the important role of frontline workers, strengthening health systems, leveraging social media, and sustainable and impact-driven philanthropy. Overall, the major outcome of the conference was the increased awareness of the potential of mobile technologies and social enterprises in transforming global health. Experts warned that donations and technological advances alone will not transform global health unless there are strong functioning health infrastructures and improved workforce. It was noted that there is a critical need for an integrated systems approach to global health problems and a need for scaling up promising pilot projects. Lack of funding, accountability, and sustainability were identified as major challenges in global health.