Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study

Application of an Innovative Methodology to Build Infrastructure for Digital Transformation of Health Systems: Developmental Program Evaluation

BACKGROUND

The current public health crises we face, including communicable disease pandemics such as COVID-19, require cohesive societal efforts to address decision-making gaps in our health systems. Digital health platforms that leverage big data ethically from citizens can transform health systems by enabling real-time data collection, communication, and rapid responses. However, the lack of standardized and evidence-based methods to develop and implement digital health platforms currently limits their application.

OBJECTIVE

This study aims to apply mixed evaluation methods to assess the development of a rapid response COVID-19 digital health platform before public launch by engaging with the development and research team, which consists of interdisciplinary researchers (ie, key stakeholders).

METHODS

Using a developmental evaluation approach, this study conducted (1) a qualitative survey assessing digital health platform objectives, modifications, and challenges administered to 5 key members of the software development team and (2) a role-play pilot with 7 key stakeholders who simulated 8 real-world users, followed by a self-report survey, to evaluate the utility of the digital health platform for each of its objectives. Survey data were analyzed using an inductive thematic analysis approach. Postpilot test survey data were aggregated and synthesized by participant role.

RESULTS

The digital health platform met original objectives and was expanded to accommodate the evolving needs of potential users and COVID-19 pandemic regulations. Key challenges noted by the development team included navigating changing government policies and supporting the data sovereignty of platform users. Strong team cohesion and problem-solving were essential in the overall success of program development. During the pilot test, participants reported positive experiences interacting with the platform and found its features relatively easy to use. Users in the community member role felt that the platform accurately reflected their risk of contracting COVID-19, but reported some challenges interacting with the interface. Those in the decision maker role found the data visualizations helpful for understanding complex information. Both participant groups highlighted the utility of a tutorial for future users.

CONCLUSIONS

Evaluation of the digital health platform development process informed our decisions to integrate the research team more cohesively with the development team, a practice that is currently uncommon given the use of external technology vendors in health research. In the short term, the developmental evaluation resulted in shorter sprints, and the role-play exercise enabled improvements to the log-in process and user interface ahead of public deployment. In the long term, this exercise informed the decision to include a data scientist as part of both teams going forward to liaise with researchers throughout the development process. More interdisciplinarity was also integrated into the research process by providing health system training to computer programmers, a key factor in human-centered artificial intelligence development.

Navigating healthcare during the pandemic: Experiences of racialized immigrants and racialized non-immigrants in Ontario's Peel Region

While public health policies implemented during COVID-19, such as prioritizing essential health services and "no visitor" strategies, were important to treat COVID-19 patients and curb disease outbreaks, their potential negative effects on the health of the general population is a growing concern. Research highlights that these policy changes contributed to a near-universal decline in access to all healthcare services and triggered increased morbidity and mortality rates. However, little is known about how health policy changes differentially shaped healthcare access within and between population groups and regions. Few studies qualitatively examine the indirect effects of policy changes on healthcare access among groups disproportionately impacted by COVID-19. This article examines how COVID-19 health policy changes impacted racialized immigrant and racialized non-immigrants' ability to connect with a provider, navigate telehealth and in-person healthcare, and access specialized healthcare in the Peel Region of Ontario, Canada. Using a Client Centered Framework, findings from in-depth interviews (n = 79) reveal that policy changes generated new (in)abilities for individuals to perceive, seek, reach, pay and engage in healthcare services. Health policy changes created new barriers to reach healthcare, compounding health challenges. While telehealth opened more effective avenues to access healthcare among some people, it created new disparities for individuals with limited English language skills and/or for those experiencing technological inequities. Although individuals recognized their need for specialized healthcare, the prioritization of essential services, gaps in health insurance coverage, and new COVID-19 economic inequities created barriers to specialized healthcare. We close with a discussion of the impacts for policy and practice.

Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation

BACKGROUND

Passive sensing through smartphone keyboard data can be used to identify and monitor symptoms of mood disorders with low participant burden. Behavioral phenotyping based on mobile keystroke data can aid in clinical decision-making and provide insights into the individual symptoms of mood disorders.

OBJECTIVE

This study aims to derive digital phenotypes based on smartphone keyboard backspace use among 128 community adults across 2948 observations using a Bayesian mixture model.

METHODS

Eligible study participants completed a virtual screening visit where all eligible participants were instructed to download the custom-built BiAffect smartphone keyboard (University of Illinois). The BiAffect keyboard unobtrusively captures keystroke dynamics. All eligible and consenting participants were instructed to use this keyboard exclusively for up to 4 weeks of the study in real life, and participants' compliance was checked at the 2 follow-up visits at week 2 and week 4. As part of the research protocol, every study participant underwent evaluations by a study psychiatrist during each visit.

RESULTS

We found that derived phenotypes were associated with not only the diagnoses and severity of depression and mania but also specific individual symptoms. Using a linear mixed-effects model with random intercepts accounting for the nested data structure from daily data, the backspace rates on the continuous scale did not differ between participants in the healthy control and in the mood disorders groups (P=.11). The 3-class model had mean backspace rates of 0.112, 0.180, and 0.268, respectively, with a SD of 0.048. In total, 3 classes, respectively, were estimated to comprise 37.5% (n=47), 54.4% (n=72), and 8.1% (n=9) of the sample. We grouped individuals into Low, Medium, and High backspace rate groups. Individuals with unipolar mood disorder were predominantly in the Medium group (n=54), with some in the Low group (n=27) and a few in the High group (n=6). The Medium group, compared with the Low group, had significantly higher ratings of depression (b=2.32, P=.008). The High group was not associated with ratings of depression with (P=.88) or without (P=.27) adjustment for medication and diagnoses. The High group, compared with the Low group, was associated with both nonzero ratings (b=1.91, P=.02) and higher ratings of mania (b=1.46, P<.001). The High group, compared with the Low group, showed significantly higher odds of elevated mood (P=.03), motor activity (P=.04), and irritability (P<.05).

CONCLUSIONS

This study demonstrates the promise of mobile typing kinematics in mood disorder research and practice. Monitoring a single mobile typing kinematic feature, that is, backspace rates, through passive sensing imposes a low burden on the participants. Based on real-life keystroke data, our derived digital phenotypes from this single feature can be useful for researchers and practitioners to distinguish between individuals with and those without mood disorder symptoms.

Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey

BACKGROUND

Health care providers can make health guidance more effective by using mobile health technologies such as health apps. Although health care providers need to know who uses health apps, existing studies have yielded inconsistent results.

OBJECTIVE

The aim of the study was (1) to clarify the prevalence and patterns of health app use to improve health behaviors for preventing lifestyle-related diseases among Japanese workers and (2) to identify the associations among demographic characteristics, health behavior, and internet use and health app use by gender.

METHODS

Data were collected from a cross-sectional internet survey in 2023. In total, 2200 participants were included, with an even distribution of men and women in each age group aged 20 to 60 years. The participants were workers with smartphones and reported their gender, age, residence area, marital status, education, employment status, occupation, work pattern, diseases under treatment, health checkups, health guidance, health behaviors, internet use duration, and number of devices used. We asked about current and previous health app use for 1 month. A multivariate logistic regression analysis was conducted by gender.

RESULTS

Of the participants, 472 (21.5%) and 189 (8.6%) were current and previous health app users, respectively. Most current and previous health app users used features that record and track their physical activity and other health behaviors. Health app users-both men and women-were more likely to have health checkups (odds ratio [OR] 1.53, 95% CI 1.12-2.11 and OR 1.51, 95% CI 1.10-2.07, respectively), receive health guidance (OR 2.01, 95% CI 1.47-2.74 and OR 1.86, 95% CI 1.32-2.62, respectively), engage in regular physical activity (OR 2.57, 95% CI 1.91-3.47 and OR 1.94, 95% CI 1.41-2.67, respectively), use the internet for 120-179 minutes per day (OR 1.76, 95% CI 1.13-2.75 and OR 1.70, 95% CI 1.12-2.57, respectively), and were less likely to be older (50-59 years: OR 0.54, 95% CI 0.33-0.88 and OR 0.40, 95% CI 0.25-0.6, respectively, and 60-69 years: OR 0.37, 95% CI 0.22-0.62 and OR 0.47, 95% CI 0.28-0.77, respectively). According to gender, male health app users were more likely to be married (OR 1.69, 95% CI 1.23-2.33) and less likely to work in the security, agriculture, forestry, fishing, manufacturing, or transportation industries (OR 0.62, 95% CI 0.41-0.95). Female health app users were more likely to have a university education or higher (OR 1.55, 95% CI 1.061-2.26), maintain an appropriate body weight (OR 1.52, 95% CI 1.10-2.11), and use 3 or more devices (OR 2.13, 95% CI 1.41-3.23).

CONCLUSIONS

Physical activity and health guidance are strong predictors of app use. Health care providers should assess the target populations' preferences for app use based on their characteristics, support their app use, and enhance the effectiveness of health guidance.

Smart Device Ownership and Use of Social Media, Wearable Trackers, and Health Apps Among Black Women With Hypertension in the United States: National Survey Study

The majority of Black women with hypertension in the United States have smartphones or tablets and use social media, and many use wearable activity trackers and health or wellness apps, digital tools that can be used to support lifestyle changes and medication adherence.

Mapping the Apps: Ethical and Legal Issues with Crowdsourced Smartphone Data using mHealth Applications

More than 5 billion people in the world own a smartphone. More than half of these have been used to collect and process health-related data. As such, the existing volume of potentially exploitable health data is unprecedentedly large and growing rapidly. Mobile health applications (apps) on smartphones are some of the worst offenders and are increasingly being used for gathering and exchanging significant amounts of personal health data from the public. This data is often utilized for health research purposes and for algorithm training. While there are advantages to utilizing this data for expanding health knowledge, there are associated risks for the users of these apps, such as privacy concerns and the protection of their data. Consequently, gaining a deeper comprehension of how apps collect and crowdsource data is crucial. To explore how apps are crowdsourcing data and to identify potential ethical, legal, and social issues (ELSI), we conducted an examination of the Apple App Store and the Google Play Store in North America and Europe to identify apps that could potentially gather health data through crowdsourcing. Subsequently, we analyzed their privacy policies, terms of use, and other related documentation to gain insights into the utilization of users' data and the possibility of repurposing it for research or algorithm training purposes. More specifically, we reviewed privacy policies to identify clauses pertaining to the following key categories: research, data sharing, privacy/confidentiality, commercialization, and return of findings. Based on the results of these app search, we developed an App Atlas that presents apps which crowdsource data for research or algorithm training. We identified 46 apps available in the European and Canadian markets that either openly crowdsource health data for research or algorithm training or retain the legal or technical capability to do so. This app search showed an overall lack of consistency and transparency in privacy policies that poses challenges to user comprehensibility, trust, and informed consent. A significant proportion of applications presented contradictions or exhibited considerable ambiguity. For instance, the vast majority of privacy policies in the App Atlas contain ambiguous or contradictory language regarding the sharing of users' data with third parties. This raises a number of ethico-legal concerns which will require further academic and policy attention to ensure a balance between protecting individual interests and maximizing the scientific utility of crowdsourced data. This article represents a key first step in better understanding these concerns and bringing attention to this important issue.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41649-024-00296-3.

Broadcast health: Leveraging YouTube for community health education

OBJECTIVE

In community health, there is great demand but limited time for the delivery of staff and patient education. During the COVID-19 pandemic, evolving needs necessitated that health education be provided in an accurate and timely manner. This paper describes the development, implementation, and evaluation of a YouTube channel designed to disseminate health education to a wide audience of public health workers and patient populations.

METHODS

This project, divided into three phases, originated within shelter-based care, providing education to shelter staff (Phase 1) and overtime has evolved to provide education within the Community Health Worker Hub at a major teaching hospital for community health workers (Phase 2) and the populations they serve (Phase 3). Further, during phase 3, the project developer used an artificial intelligence (AI) platform to increase the reach of the YouTube channel.

RESULTS

Over a span of 21 months, 18 unique videos have garnered 489 views.

CONCLUSIONS

Clinicians and educators can leverage technology platforms for health education delivery, increasing the reach of their work while meeting the demands of the profession. While the quality of some information on YouTube may be poor, patients and students turn to this platform for health education. It is imperative that public health nurses embrace this medium, rather than push against it. By creating high-quality content, educating students and patients about DISCERN and PEMAT tools, and guiding patients to credible sources, public health nurses may ameliorate the standards of health education on YouTube.

mHealth Apps Use and Their Associations With Healthcare Decision-Making and Health Communication Among Informal Caregivers: Evidence From the National Cancer Institute's Health Information National Trends Survey

PURPOSE

The current study investigates associations between mHealth apps and healthcare decision-making and health communication among informal caregivers in the US.

DESIGN

Cross-sectional study employing secondary data.

SETTING

The Health Information National Trends Survey (HINTS5, Cycles 2 through 4, 2018 - 2020).

SAMPLE

Self-identified informal caregivers (n = 1386; had mHealth apps = 61.3%, female = 63.2%, some college or more in education = 80.3%) who reported owning at least a smartphone or a tablet computer (i.e., ownership of a "smart device").

MEASURES

Sociodemographic characteristics, reports of having mHealth apps, smart device utilization in healthcare decision-making and health communication.

ANALYSIS

Accounting for the complex design features of the HINTS data, we constructed multiple hierarchical logistic regressions to compute adjusted odds ratios (aOR) and their 95% confidence intervals (CI).

RESULTS

Compared to caregivers without mHealth apps, those with the apps had higher odds of utilizing their smart devices to make a health-related decision, such as how to treat a disease or a medical condition (aOR = 1.65; 95% CI: 1.13-2.39, P < .01), or engage in health-related discussions with a healthcare provider (aOR = 2.36; 95% CI: 1.54-3.61, P < .001).

CONCLUSION

Having mHealth apps was associated with a higher likelihood of using smart devices in healthcare decision-making and health communication by informal caregivers. Empowering caregivers to make informed health-related decisions and communicate effectively with healthcare providers are both crucial to health promotion and well-being. Future studies should investigate facilitators as well as barriers to using mHealth apps and smart devices in health-promoting strategies involving informal caregivers.

Mobile health technologies in the prevention and management of hypertension: A scoping review

Introduction

An estimated one billion people globally are currently suffering from hypertension. Prevention and management of hypertension are suboptimal especially in low- and middle-income countries leading to increased complications and deaths. With increased mobile phone coverage globally, this study aims to review mobile health technologies used for the prevention and management of hypertension.

Methods

We conducted a literature search on electronic databases using identified keywords involving "hypertension", "mobile health technology" and their synonyms. Snowballing technique was also used. Papers were screened at two levels by independent reviewers. The targets were studies published in peer-reviewed journals reporting mobile health interventions for hypertension prevention and management. Only primary research studies published in English from January 2017 to April 2024 were included. Google Forms were used to extract the data along with other characteristics, and selected articles were categorised into: mobile application, web-based solutions, and Short Message Service (SMS) and other offline solutions.

Result

The search yielded 184 articles, and 44 studies were included in the review. Most (n = 26) were randomised control trials. Twenty-two studies (22) focused only on mobile applications solutions, 12 on SMS and other offline mHealth, 5 web-based solutions, and 5 combined more than one type of mobile health technology. The United States of America had the majority of studies (n = 17), with 6 studies from other American countries, 11 from Asia and nine from Europe, while only one from Africa. A total of 36 studies reported that mobile health technology significantly improved hypertension care through reduced blood pressure, improved adherence to follow-up visits and medications, and lifestyle changes. SMS and offline mHealth strategies have also demonstrated effectiveness in promoting self-management and reducing racial disparities in hypertension care.

Conclusion

Mobile health technology has the potential to play a significant role in the prevention and management of hypertension. However, there is a need for mobile health solutions for hypertension prevention and management in African countries and other developing countries. Integrating mHealth into primary healthcare delivery would also go a long way in strengthening patient care and reducing the burden on healthcare systems.

Medical Information During Trauma Resuscitations: Are Smartphones the Contemporary Medical ID Bracelet?

INTRODUCTION

Smartphone emergency medical identification (SEMID) applications are built-in health information-storing functions that are accessible without a passcode. The utility of these applications in the real-time resuscitation of trauma patients is unknown.

METHODS

We prospectively evaluated all trauma activation patients ≥16 y and unable to provide a medical history for any reason for the presence of a smartphone at our urban level I center between October 2020 and September 2021. Available smartphones were queried for SEMID utilization, categories of information contained, and real-time clinical relevance.

RESULTS

One hundred and forty three patients with a median age of 39 y [interquartile range 28-59] and Injury Severity Score of 16 [2-29] were included. 30 (21%) patients arrived with a smartphone, 27 (90%) of which were accessible. 8 (30%) of those individuals utilized a SEMID application, and SEMID information was relevant for patient care in 6 cases (75%). The extracted information included: identifiers (75%), emergency contacts (50%), height/weight (38%), allergies (38%), age (38%), medications (25%), medical history (13%), and blood type (13%).

CONCLUSIONS

Approximately one in five altered trauma patients have smartphones present at arrival, some of which contain medical information pertinent for immediate care. There is a pressing need for education and our institution has developed a publicly-facing campaign with shareable materials to improve SEMID awareness and utilization. Other centers are likely to find similar benefit.

Quality of Life Predictors in a Group of Informal Caregivers during the COVID-19 Pandemic

Background and Objectives: The informal caregiver's contribution to the wellbeing of dementia patients is critical since these individuals become dependent on others for all daily activities. Our goal was to investigate the dynamics of anxiety, depression, burnout, sleep, and their influence on quality of life over a 6-month period in the context of pandemic distress in a sample of informal caregivers of Alzheimer's patients. Materials and Methods: For this prospective, longitudinal study, we conducted a 6-month telephonic survey between 2021 and 2022, administering a series of questionnaires at three timepoints (baseline, 3 months and 6 months) to a group of informal caregivers of patients suffering from dementia due to Alzheimer's disease. Results: A total of 110 caregivers were included at baseline, out of which 96 continued to the second stage and 78 followed through to the last stage. The majority of the participants were female (most likely the patients' daughters), around 55 years old, living in urban areas, married, with children, having a high school degree or a higher education degree, and working in jobs that required physical presence; in the best-case scenario, they were sharing their responsibilities with another two-three caregivers. More than half of the 110 participants (50.9%) reported mild to moderate anxiety at baseline, and 27.3% reported significant anxiety, with no changes between the three timepoints, F(2, 154) = 0.551, p = 0.57; 25% reported moderate-severe depression at the start, with no changes between the three timepoints, F(2, 154) = 2.738, p = 0.068; and many reported a decrease in quality of life, poor quality of sleep, and decreased fear of COVID infection. Cynicism, professional effectiveness, anxiety, depression, and sleep quality explained up to 87.8% of the variance in quality of life. Conclusions: Caregivers' decreased quality of life during the pandemic was explained by their levels of burnout, anxiety, and depression throughout the 6-month period.

Mobile Health Application and Hypertension Management in Rural, Middle-Aged Adults: A Quality Improvement Project

Over 29% of the adult population in the United States are diagnosed with hypertension, and rates are significantly higher in those adults who live in rural areas. Hypertension is recognized as the most prevalent comorbidity and modifiable risk factor leading to premature death. The purpose of this quality improvement project was to determine if using a mobile phone-based health application called Medisafe could enhance medication adherence and improve blood pressure control in rural-dwelling adults. A small group (N = 14) of middle-aged (45-64 years old) patients with hypertension were recruited to download the free Medisafe phone-based health application. Patients utilized the Medisafe application between their initial visit and a 4- to 6-week follow-up. At the follow-up visit, 64% (n = 9) of participants improved their level of hypertension control by blood pressure classification and improved their scores on the medication adherence questionnaire. The findings from this quality improvement project suggest the Medisafe application is useful to enhance medication adherence and blood pressure control. Future research and quality improvement initiatives are necessary to determine the broader efficacy of phone-based health applications in the rural adult population.

The Use of Telehealth Among People Living With Dementia-Caregiver Dyads During the COVID-19 Pandemic: Scoping Review

BACKGROUND

Telehealth has gained substantial attention during the COVID-19 pandemic, and reimbursement policies in health care settings have increased access to remote modes of care delivery. Telehealth has the potential to mitigate care concerns for people living with dementia and their family caregivers. There is a paucity of knowledge on the performance of telehealth services and user experiences, especially among caregiving dyads during the pandemic.

OBJECTIVE

This study aims to describe the implementation, effectiveness, user experience, and barriers to accessing and using telehealth services for people living with dementia and their caregivers during the COVID-19 pandemic.

METHODS

Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, we searched 7 databases (PubMed, PsycINFO, AgeLine, CINAHL, Social Services Abstracts, Web of Science, and Scopus) and a web-based search engine (Google Scholar). The inclusion criteria for peer-reviewed English publications from March 2020 to August 2022 consisted of studies related to telehealth services for people living with dementia and their family caregivers and studies conducted during the COVID-19 pandemic.

RESULTS

A total of 24 articles (10 quantitative and 14 qualitative studies) from 10 different countries were included. The major findings of the reviewed articles were extracted and organized into the following 4 themes: study design characteristics-strategies were adopted to improve the accessibility and experience of people living with dementia-caregiver dyads; efficacy outcomes of telehealth services-robust evidence is lacking on the comparative effectiveness of in-person services; perceived experiences of people living with dementia and caregivers-most reviewed studies reported positive experiences of using telehealth services and perceived personal and social benefits from their participants; and barriers to accessing and using telehealth services-several barriers related to individuals, infrastructure, and telehealth environments were identified.

CONCLUSIONS

Although evidence of its effectiveness is still limited, telehealth is widely accepted as a viable alternative to in-person care for high-risk groups, such as people living with dementia and their caregivers. Future research should include expanding digital access for those with limited resources and low technology literacy, adopting randomized controlled trial designs to establish the comparative effectiveness of different modes of service delivery, and increasing the sample diversity.

Effectiveness of real-time classroom interactive competition on academic performance: a systematic review and meta-analysis

In recent years, different tools have been introduced into the educational landscape to promote active participation and interaction between students and teachers through personal response systems. The evolution of this methodology has allowed students to participate in real-time by answering questions posed. Previous reviews on the effectiveness of real-time classroom interactive competition (RCIC) on academic performance have been performed; however, this research was based only on Kahoot, without considering other RCIC tools or programs. In addition, the RCIC effectiveness at different educational levels and its effect according to the duration of the intervention has not been meta-analytically analyzed until to date. The aim of this meta-analysis was to analyze the RCIC effectiveness in improving academic performance. A search focused on studies from the educational field published from 2010 until September 2022 was performed. Experimental studies with objective and valid data (scores based on tests or exams) were included. From a total of 397 studies considered potentially eligible, 23 studies met the inclusion criteria. The sample was n = 1,877 for the experimental group and n = 1,765 for the control group with an academic improvement in favor to experimental group (MD 7.34; CI [5.31-9.43]; p < 0.001). There was also significant improvement in academic performance when analyzing different educational levels and different tools. In addition, both short-term interventions (two weeks or less in duration) and long-term (from two weeks to one year in duration) were effective. Therefore, RCIC interventions seem to be an effective strategy to improve academic performance.

Prevalence and correlates of use of digital technology for managing hypertension among older adults

Hypertension is prevalent among older adults (60 years and above), but control of blood pressure (BP) remains suboptimal. While there is increasing interest in using digital technology for managing hypertension, information about the extent and potential correlates of such use among older adults remains scant. We assessed the prevalence and correlates of the use of digital technology for managing hypertension among older adults with hypertension. We also investigated if the use of digital technology was associated with BP or hypertension control. The use of digital technology (internet or digital apps) for information about or managing BP or hypertension was assessed among 1729 older adults diagnosed with hypertension participating in a national survey in Singapore. Regression analysis was used to assess the correlates (based on the Unified Theory of Use and Acceptance of Technology), and whether such use was associated with hypertension control or BP values. Digital technology for managing hypertension was used by 7.1% of older adults with hypertension. Those of higher age and with limitations in one or more activities or instrumental activities of daily living were less likely, while those with secondary education and above, and with stronger social network were more likely to use digital technology. There was no association between the use of digital technology and hypertension control. While users of digital technology had lower systolic (by 2.1 mmHg, adjusted p value = 0.12) and diastolic (by 1.6 mmHg, adjusted p value = 0.13) BP than non-users, the differences were not statistically significant. Given its low prevalence, there is potential for increased use of digital technology for managing hypertension among older adults with hypertension in Singapore. Initiatives to increase digital health use should target specific older adult subgroups.

Effectiveness of a mHealth intervention on hypertension control in a low-resource rural setting: A randomized clinical trial

Background

Despite the increasing popularity of mHealth, little evidence indicates that they can improve health outcomes. Mobile health interventions (mHealth) have been shown as an attractive approach for health-care systems with limited resources. To determine whether mHealth would reduce blood pressure, promote weight loss, and improve hypertension compliance, self-efficacy and life quality in individuals with hypertension living in low-resource rural settings in Hubei, China.

Methods

In this parallel-group, randomized controlled trial, we recruited individuals from health-care centers, home visits, and community centers in low-resource rural settings in Hubei, China. Of 200 participants who were screened, 148 completed consent, met inclusion criteria, and were randomly assigned in a ratio of 1:1 to control or intervention. Intervention group participants were instructed to use the Monitoring Wearable Device and download a Smartphone Application, which includes reminder alerts, adherence reports, medical instruction and optional family support. Changes in the index of Cardiovascular health risk factors from baseline to end of follow-up. Secondary outcomes were change in hypertension compliance, self-efficacy and life quality at 12 weeks.

Results

Participants (n = 134; 66 in the intervention group and 68 controls) had a mean age of 61.73 years, 61.94% were male. After 12 weeks, the mean (SD) systolic blood pressure decreased by 8.52 (19.73) mm Hg in the intervention group and by 1.25 (12.47) mm Hg in the control group (between-group difference, -7.265 mm Hg; 95% CI, -12.89 to -1.64 mm Hg; P = 0.012), While, there was no difference in the change in diastolic blood pressure between the two groups (between-group difference, -0.41 mm Hg; 95% CI, -3.56 to 2.74 mm Hg; P = 0.797). After 12 weeks of follow-up, the mean (SD) hypertension compliance increased by 7.35 (7.31) in the intervention group and by 3.01 (4.92) in the control group (between-group difference, 4.334; 95% CI, 2.21 to -6.46; P < 0.01), the mean (SD) hypertension compliance increased by 12.89 (11.95) in the intervention group and by 5.43 (10.54) in the control group (between-group difference, 7.47; 95% CI, 3.62 to 11.31; P < 0.01), the mean (SD) physical health increased by 12.21 (10.77) in the intervention group and by 1.54 (7.18) in the control group (between-group difference, 10.66; 95% CI, 7.54-13.78; P < 0.01), the mean (SD) mental health increased by 13.17 (9.25) in the intervention group and by 2.55 (5.99) in the control group (between-group difference, 10.93; 95% CI, 7.74 to 14.12; P < 0.01).

Conclusions

Among participants with uncontrolled hypertension, individuals randomized to use a monitoring wearable device with a smartphone application had a significant improvement in self-reported hypertension compliance, self-efficacy, life quality, weight loss and diastolic blood pressure, but no change in systolic blood pressure compared with controls.

Mobile phone access and preferences among medical inpatients at an urban Canadian hospital for post-discharge planning: A pre-COVID-19 cross-sectional survey

Background

Digital health interventions are increasingly used for patient care, yet little data is available on the phone access type and usage preferences amongst medical ward inpatients to inform the most appropriate digital interventions post-discharge.

Methods

To identify mobile phone ownership, internet access, and cellular use preferences among medical inpatients, we conducted a researcher-administered survey of patients admitted to five internal medicine units at Vancouver General Hospital (VGH) in January 2020. The survey was administered over 2 days separated by a 2-week period.

Results

A total of 81 inpatients completed the questionnaire. Survey found that 85.2% of survey respondents had mobile phone access where 63.0% owned their own mobile phone, and 22.2% had access to a mobile phone via a proxy (or an authorized third-party) such as a family member. All participants with mobile phone access had cellular plans (i.e., phone and text); however, a quarter of respondents did not have data plans with internet access. Survey showed that 71.1% of males owned a mobile phone compared to only 52.8% of females. All participants at a "high" risk of readmission had access to a mobile phone, either as phone-owners or proxy-dependent users.

Conclusion

Access to mobile phones among medical ward inpatients, 85.2%, was comparable to smartphone penetration rates amongst Canadians in 2019, 85.1%. More patients had cellular than data plans (i.e., internet and applications). Understanding patient-specific access is key to informing potential uptake of digital health interventions aimed at using patients' mobile phones (mHealth) from an effectiveness and equity lens.

Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal

BACKGROUND

Digital technologies are increasingly used in health research to collect real-world data from wider populations. A new wave of digital health studies relies primarily on digital technologies to conduct research entirely remotely. Remote digital health studies hold promise to significant cost and time advantages over traditional, in-person studies. However, such studies have been reported to typically suffer from participant attrition, the sources for which are still largely understudied.

OBJECTIVE

To contribute to future remote digital health study planning, we present a conceptual framework and hypotheses for study enrollment and completion. The framework introduces 3 participation criteria that impact remote digital health study outcomes: (1) participant motivation profile and incentives or nudges, (2) participant task complexity, and (3) scientific requirements. The goal of this study is to inform the planning and implementation of remote digital health studies from a person-centered perspective.

METHODS

We conducted a scoping review to collect information on participation in remote digital health studies, focusing on methodological aspects that impact participant enrollment and retention. Comprehensive searches were conducted on the PubMed, CINAHL, and Web of Science databases, and additional sources were included in our study from citation searching. We included digital health studies that were fully conducted remotely, included information on at least one of the framework criteria during recruitment, onboarding or retention phases of the studies, and included study enrollment or completion outcomes. Qualitative analyses were performed to synthesize the findings from the included studies.

RESULTS

We report qualitative findings from 37 included studies that reveal high values of achieved median participant enrollment based on target sample size calculations, 128% (IQR 100%-234%), and median study completion, 48% (IQR 35%-76%). Increased median study completion is observed for studies that provided incentives or nudges to extrinsically motivated participants (62%, IQR 43%-78%). Reducing task complexity for participants in the absence of incentives or nudges did not improve median study enrollment (103%, IQR 102%-370%) or completion (43%, IQR 22%-60%) in observational studies, in comparison to interventional studies that provided more incentives or nudges (median study completion rate of 55%, IQR 38%-79%). Furthermore, there were inconsistencies in measures of completion across the assessed remote digital health studies, where only around half of the studies with completion measures (14/27, 52%) were based on participant retention throughout the study period.

CONCLUSIONS

Few studies reported on participatory factors and study outcomes in a consistent manner, which may have limited the evidence base for our study. Our assessment may also have suffered from publication bias or unrepresentative study samples due to an observed preference for participants with digital literacy skills in digital health studies. Nevertheless, we find that future remote digital health study planning can benefit from targeting specific participant profiles, providing incentives and nudges, and reducing study complexity to improve study outcomes.

Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi-Ethnic Study of Atherosclerosis)

Background

Mobile health (mHealth) has an emerging role in the prevention of cardiovascular disease. This study evaluated possible inequities in mHealth access in older adults.

Methods and Results

mHealth access was assessed from 2019 to 2020 in MESA (Multi‐Ethnic Study of Atherosclerosis) telephone surveys of 2796 participants aged 62 to 102 years. A multivariable logistic regression model adjusted for general health status assessed associations of mHealth access measures with relevant demographic, socioeconomic, and cognitive characteristics. There were lower odds of all access measures with older age (odds ratios [ORs], 0.37–0.59 per 10 years) and annual income <$50 000 (versus ≥$50 000 ORs, 0.55–0.62), and higher odds with higher Cognitive Abilities Screening Instrument Score (ORs, 1.22–1.29 per 5 points). Men (versus women) had higher odds of internet access (OR, 1.32 [95% CI,1.05–1.66]) and computing device ownership (OR, 1.31 [95% CI, 1.05–1.63]) but lower fitness tracker ownership odds (OR, 0.70 [95% CI, 0.49–0.89]). For internet access and computing device ownership, we saw lower odds for Hispanic participants (versus White participants OR, 0.61 [95% CI, 0.44–0.85]; OR, 0.69 [95% CI, 0.50–0.95]) and less than a high school education (versus bachelor's degree or higher OR, 0.27 [95% CI, 0.18–0.40]; OR, 0.32 [95% CI, 0.28–0.62]). For internet access, lower odds were seen for Black participants (versus White participants OR, 0.64 [95% CI, 0.47–0.86]) and other health insurance (versus health maintenance organization/private OR, 0.59 [95% CI, 0.47–0.74]). Chinese participants (versus White participants) had lower internet access odds (OR, 0.63 [95% CI, 0.44–0.91]) but higher computing device ownership odds (OR, 1.87 [95% CI, 1.28–2.77]).

Conclusions

Among older‐age adults, mHealth access varied by major demographic, socioeconomic, and cognitive characteristics, suggesting a digital divide. Novel mHealth interventions should consider individual access barriers.

Registration

URL: https://www.clinicaltrials.gov/; Unique identifier: NCT00005487.

Home-Based Spirometry Telemonitoring After Allogeneic Hematopoietic Cell Transplantation: Mixed Methods Evaluation of Acceptability and Usability

BACKGROUND

Home-based spirometry (HS) allows for the early detection of lung complications in recipients of an allogeneic hematopoietic cell transplant (AHCT). Although the usability and acceptability of HS are critical for adherence, patient-reported outcomes of HS use remain poorly understood in this setting.

OBJECTIVE

The aim of this study is to design a longitudinal, mixed methods study to understand the usability and acceptability of HS among recipients of AHCT.

METHODS

Study participants performed HS using a Bluetooth-capable spirometer that transmitted spirometry data to the study team in real time. In addition, participants completed usability questionnaires and in-depth interviews and reported their experiences with HS. Analysis of interview data was guided by the constructs of performance expectancy, effort expectancy, and social influence from the Unified Theory of Acceptance and Use of Technology model.

RESULTS

Recipients of AHCT found HS to be highly acceptable despite modest technological barriers. On average, participants believed that the HS was helpful in managing symptoms related to AHCT (scores ranging from 2.22 to 2.68 on a scale of 0-4) and for early detection of health-related problems (score range: 2.88-3.12). Participants viewed HS favorably and were generally supportive of continued use. No significant barriers to implementation were identified from the patient's perspective. Age and gender were not associated with the patient perception of HS.

CONCLUSIONS

Study participants found HS acceptable and easy to use. Some modifiable technical barriers to performing HS were identified; however, wider implementation of pulmonary screening is feasible from the patient's perspective.

Predictors of Smartphone and Tablet Use Among Patients With Hypertension: Secondary Analysis of Health Information National Trends Survey Data

BACKGROUND

Uncontrolled hypertension leads to significant morbidity and mortality. The use of mobile health technology, such as smartphones, for remote blood pressure (BP) monitoring has improved BP control. An increase in BP control is more significant when patients can remotely communicate with their health care providers through technologies and receive feedback. Little is known about the predictors of remote BP monitoring among hypertensive populations.

OBJECTIVE

The objective of this study is to quantify the predictors of smartphone and tablet use in achieving health goals and communicating with health care providers via SMS text messaging among hypertensive patients in the United States.

METHODS

This study was a cross-sectional, secondary analysis of the 2017 and 2018 Health Information National Trends Survey 5, cycles 1 and 2 data. A total of 3045 respondents answered "Yes" to the question "Has a doctor or other healthcare provider ever told you that you had high blood pressure or hypertension?", which defined the subpopulation used in this study. We applied the Health Information National Trends Survey full sample weight to calculate the population estimates and 50 replicate weights to calculate the SEs of the estimates. We used design-adjusted descriptive statistics to describe the characteristics of respondents who are hypertensive based on relevant survey items. Design-adjusted multivariable logistic regression models were fitted to estimate predictors of achieving health goals with the help of smartphone or tablet and sending or receiving an SMS text message to or from a health care provider in the last 12 months.

RESULTS

An estimated 36.9%, SE 0.9% (183,285,150/497,278,883) of the weighted adult population in the United States had hypertension. The mean age of the hypertensive population was 58.3 (SE 0.48) years. Electronic communication with the doctor or doctor's office through email or internet (odds ratio 2.93, 95% CI 1.85-4.63; P<.001) and having a wellness app (odds ratio 1.82, 95% CI 1.16-2.86; P=.02) were significant predictors of using SMS text message communication with a health care professional, adjusting for other demographic and technology-related variables. The odds of achieving health-related goals with the help of a tablet or smartphone declined significantly with older age (P<.001) and ownership of basic cellphones (P=.04). However, they increased significantly with being a woman (P=.045) or with being married (P=.03), having a wellness app (P<.001), using devices other than smartphones or tablets to monitor health (P=.008), making health treatment decisions (P=.048), and discussing with a provider (P=.02) with the help of a tablet or smartphone.

CONCLUSIONS

Intervention measures accounting for age, gender, marital status, and the patient's technology-related health behaviors are required to increase smartphone and tablet use in self-care and SMS text message communication with health care providers.

The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey

BACKGROUND

A variety of smartphone apps and wearables are available both to help patients monitor their health and to support health care professionals (HCPs) in providing clinical care. As part of the RADAR-CNS consortium, we have conducted research into the application of wearables and smartphone apps in the care of people with multiple sclerosis, epilepsy, or depression.

METHODS

We conducted a large online survey study to explore the experiences of HCPs working with patients who have one or more of these conditions. The survey covered smartphone apps and wearables used by clinicians and their patients, and how data from these technologies impacted on the respondents' clinical practice. The survey was conducted between February 2019 and March 2020 via a web-based platform. Detailed statistical analysis was performed on the answers.

RESULTS

Of 1009 survey responses from HCPs, 1006 were included in the analysis after data cleaning. Smartphone apps are used by more than half of responding HCPs and more than three quarters of their patients use smartphone apps or wearable devices for health-related purposes. HCPs widely believe the data that patients collect using these devices impacts their clinical practice. Subgroup analyses show that views on the impact of this data on different aspects of clinical work varies according to whether respondents use apps themselves, and, to a lesser extent, according to their clinical setting and job role.

CONCLUSIONS

Use of smartphone apps is widespread among HCPs participating in this large European survey and caring for people with epilepsy, multiple sclerosis and depression. The majority of respondents indicate that they treat patients who use wearables and other devices for health-related purposes and that data from these devices has an impact on clinical practice.

Design and prototype of TOMO: an app for improving drug resistant TB treatment adherence

Background: Drug resistance and multi drugs tuberculosis (DR/MDR-TB) are associated with patients' low adherence to undergoing complex treatment. Driven by the increasing use and penetration of a smartphone and the End of TB Strategy that seeks for digital health solution, Center for Tropical Medicine Universitas Gadjah Mada has developed TOMO, an Android-based app for improving medication adherence in MDR-TB. Objective: This paper aims to present the sequential steps to develop the app, its general architecture, and its functionalities. Methods: It is a design thinking process involving two MDR-TB referral centers, district health offices, primary health centers, and MDR-TB patients in Central Java and Yogyakarta, Indonesia. We adopted the Principles for Digital Development to develop and design the app. MDR-TB treatment guideline from the Indonesian Ministry of Health was used to develop functionalities of the app for improving adherence. Results: TOMO app could be used by patients, primary health centers, clinical teams, and case managers. The app prototype features include adverse event records and reports, medication-taking reminders, and communication between the patient and the TB-MDR case manager. We have successfully tested the functionalities based on four use cases: patients with high adherence, patients with low adherence, patients with adverse events, and patients following treatment in the primary health center without any visit to the MDR-TB center. Conclusion: TOMO app has contributed to the limited body of literature on improving TB-MDR adherence with digital health intervention, especially using a health app. The app has been tested using four scenarios. We will follow up with usability testing before implementing the app in a real setting.

Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses

Mobile health (mHealth) technologies improve hypertension outcomes, but it is unknown if this benefit applies to all populations. This review aimed to describe the impact of mHealth interventions on blood pressure outcomes in populations with disparities in digital health use. We conducted a systematic search to identify studies with systolic blood pressure (SBP) outcomes located in urban settings in high-income countries that included a digital health disparity population, defined as mean age ≥65 years; lower educational attainment (≥60% ≤high school education); and/or racial/ethnic minority (<50% non-Hispanic White for US studies). Interventions were categorized using an established self-management taxonomy. We conducted a narrative synthesis; among randomized clinical trials (RCTs) with a six-month SBP outcome, we conducted random-effects meta-analyses. Twenty-nine articles (representing 25 studies) were included, of which 15 were RCTs. Fifteen studies used text messaging; twelve used mobile applications. Studies were included based on race/ethnicity (14), education (10), and/or age (6). Common intervention components were: lifestyle advice (20); provision of self-monitoring equipment (17); and training on digital device use (15). In the meta-analyses of seven RCTs, SBP reduction at 6-months in the intervention group (mean SBP difference = -4.10, 95% CI: [-6.38, -1.83]) was significant, but there was no significant difference in SBP change between the intervention and control groups (p = 0.48). The use of mHealth tools has shown promise for chronic disease management but few studies have included older, limited educational attainment, or minority populations. Additional robust studies with these populations are needed to determine what interventions work best for diverse hypertensive patients.

"Sometimes I don't have a pulse … and I'm still alive!" Interviews with healthcare professionals to explore their experiences of and views on population-based digital health technologies

Background

Digital technologies are increasingly becoming an integral part of our daily routine and professional lives, and the healthcare field is no exception. Commercially available digital health technologies (DHTs - e.g. smartphones, smartwatches and apps) may hold significant potential in healthcare upon successful and constructive implementation. Literature on the topic is split between enthusiasm associated with potential benefits and concerns around privacy, reliability and overall effectiveness. However, little is known about what healthcare professionals (HCPs) have experienced so far with patients and what they perceive as the main advantages and disadvantages of adoption. This study therefore aims to investigate current perceptions of HCPs towards self-tracked health-related outputs from devices and apps available to the public.

Methods

Nine HCPs volunteered to take part in semi-structured interviews. Related data were thematically analysed, following a deductive approach with the construction of a framework based on expected themes from the relevant literature, and themes identified from the first two interviews.

Findings

The following main themes in relation to DHTs were identified and explored in detail: HCPs' experience, knowledge and views; advantages and disadvantages; barriers towards healthcare implementation and potential solutions; future directions. While most participants were adopters of DHTs and held positive views about them, their overall experience with patients and the technology was limited. Potential reasons for this were explored, including factors such as time/resources; colleagues' mindset; lack of evidence of effectiveness for practice; data security concerns.

Conclusions

The potential advantages of DHTs' adoption in healthcare are substantial, e.g. patient autonomy, time/resources saving, health and behaviour change promotion, but are presently premature. Therefore, future research is warranted, focussing on addressing barriers, minimising disadvantages, and assessing the clinical value of commercially available DHTs.

Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study

BACKGROUND

Automated texting platforms have emerged as a tool to facilitate communication between patients and health care providers with variable effects on achieving target blood pressure (BP). Understanding differences in the way patients interact with these communication platforms can inform their use and design for hypertension management.

OBJECTIVE

Our primary aim was to explore the unique phenotypes of patient interactions with an automated text messaging platform for BP monitoring. Our secondary aim was to estimate associations between interaction phenotypes and BP control.

METHODS

This study was a secondary analysis of data from a randomized controlled trial for adults with poorly controlled hypertension. A total of 201 patients with established primary care were assigned to the automated texting platform; messages exchanged throughout the 4-month program were analyzed. We used the k-means clustering algorithm to characterize two different interaction phenotypes: program conformity and engagement style. First, we identified unique clusters signifying differences in program conformity based on the frequency over time of error alerts, which were generated to patients when they deviated from the requested text message format (eg, ###/## for BP). Second, we explored overall engagement styles, defined by error alerts and responsiveness to text prompts, unprompted messages, and word count averages. Finally, we applied the chi-square test to identify associations between each interaction phenotype and achieving the target BP.

RESULTS

We observed 3 categories of program conformity based on their frequency of error alerts: those who immediately and consistently submitted texts without system errors (perfect users, 51/201), those who did so after an initial learning period (adaptive users, 66/201), and those who consistently submitted messages generating errors to the platform (nonadaptive users, 38/201). Next, we observed 3 categories of engagement style: the enthusiast, who tended to submit unprompted messages with high word counts (17/155); the student, who inconsistently engaged (35/155); and the minimalist, who engaged only when prompted (103/155). Of all 6 phenotypes, we observed a statistically significant association between patients demonstrating the minimalist communication style (high adherence, few unprompted messages, limited information sharing) and achieving target BP (P<.001).

CONCLUSIONS

We identified unique interaction phenotypes among patients engaging with an automated text message platform for remote BP monitoring. Only the minimalist communication style was associated with achieving target BP. Identifying and understanding interaction phenotypes may be useful for tailoring future automated texting interactions and designing future interventions to achieve better BP control.

The Shoulder Telehealth Assessment Tool in Transition to Distance Orthopedics

The role of telehealth in orthopedic surgery is rapidly expanding, a movement largely brought about by the coronavirus disease 2019 (COVID-19) pandemic. Virtual clinic encounters using a video chat platform or a simple telephone call offer the patient and surgeon numerous advantages that are now better appreciated by the orthopedic community at large. However, barriers to effective patient evaluation exist, and a successful patient assessment is highly dependent on technique. In particular, performing a shoulder physical examination during a virtual encounter poses many obstacles. We present a technique to complete a patient-led, comprehensive shoulder physical examination using an easy-to-understand pictorial guide called the Shoulder Telehealth Assessment Tool (STAT). A STAT form is provided to the patient and designed to be completed at home without the real-time instruction of a provider, before the virtual encounter. Parameters include assessments of all planes of shoulder range of motion, visual analog scale (VAS) and Single Assessment Numeric Evaluation (SANE) scores, and the components necessary to allow for conversion to an abbreviated Constant shoulder score if the provider so desires.

Use of Tablets and Smartphones to Support Medical Decision Making in US Adults: Cross-Sectional Study

BACKGROUND

Tablet and smartphone ownership have increased among US adults over the past decade. However, the degree to which people use mobile devices to help them make medical decisions remains unclear.

OBJECTIVE

The objective of this study is to explore factors associated with self-reported use of tablets or smartphones to support medical decision making in a nationally representative sample of US adults.

METHODS

Cross-sectional data from participants in the 2018 Health Information National Trends Survey (HINTS 5, Cycle 2) were evaluated. There were 3504 responses in the full HINTS 5 Cycle 2 data set; 2321 remained after eliminating respondents who did not have complete data for all the variables of interest. The primary outcome was use of a tablet or smartphone to help make a decision about how to treat an illness or condition. Sociodemographic factors including gender, race/ethnicity, and education were evaluated. Additionally, mobile health (mHealth)- and electronic health (eHealth)-related factors were evaluated including (1) the presence of health and wellness apps on a tablet or smartphone, (2) use of electronic devices other than tablets and smartphones to monitor health (eg, Fitbit, blood glucose monitor, and blood pressure monitor), and (3) whether people shared health information from an electronic monitoring device or smartphone with a health professional within the last 12 months. Descriptive and inferential statistics were conducted using SAS version 9.4. Weighted population estimates and standard errors, univariate odds ratios, and 95% CIs were calculated, comparing respondents who used tablets or smartphones to help make medical decisions (n=944) with those who did not (n=1377), separately for each factor. Factors of interest with a P value of <.10 were included in a subsequent multivariable logistic regression model.

RESULTS

Compared with women, men had lower odds of reporting that a tablet or smartphone helped them make a medical decision. Respondents aged 75 and older also had lower odds of using a tablet or smartphone compared with younger respondents aged 18-34. By contrast, those who had health and wellness apps on tablets or smartphones, used other electronic devices to monitor health, and shared information from devices or smartphones with health care professionals had higher odds of reporting that tablets or smartphones helped them make a medical decision, compared with those who did not.

CONCLUSIONS

A limitation of this research is that information was not available regarding the specific health condition for which a tablet or smartphone helped people make a decision or the type of decision made (eg, surgery, medication changes). In US adults, mHealth and eHealth use, and also certain sociodemographic factors are associated with using tablets or smartphones to support medical decision making. Findings from this study may inform future mHealth and other digital health interventions designed to support medical decision making.

Connected Health in Hypertension Management

e-health is defined as the use of communication and information technologies (ICT) to manage patients and their health in a more efficient way, with the aim of improving the overall quality of care. Healthcare services relying on telehealth (or telemedicine) and mobile health (m-health) are the most popular e-health tools used by healthcare professionals and consumers. These applications allow the exchange of medical data between patients and their doctors or among healthcare professionals, mainly through the Internet, and are used to provide healthcare services remotely (so-called "connected health"). The most popular telemedicine application in the field of hypertension is blood pressure telemonitoring (BPT), which enables transmission of BP and various clinical information from patients' homes or from the community to the doctor's surgery or the hospital. Numerous randomized controlled trials have documented a significant BP reduction combined with an intensification and optimization of the use of antihypertensive medications in patients making use of BPT plus remote counseling by a case manager, with the supervision of a doctor or a community pharmacist (telepharmacy). The major benefits of BPT are usually observed in high-risk patients. BPT can also be based on m-health wireless solutions, provided with educational support, medication trackers and reminders, and teleconsultation. In this context, BPT may favor patient's self-management, as an adjunct to the doctor's intervention, and foster patient's participation in medical decision making, with consequent improvement in BP control and increase in medication adherence. In conclusion, e-health solutions, and in particular telemedicine, are increasingly attaining a key position in the management of the hypertensive patient, with an enormous potential in terms of improvement of the quality of the delivered care, increase in the chance of a successful BP control and effective prevention of cardiovascular diseases.

Who is Tracking Health on Mobile Devices: Behavioral Logfile Analysis in Hong Kong

Background

Health apps on mobile devices provide an unprecedented opportunity for ordinary people to develop social connections revolving around health issues. With increasing penetration of mobile devices and well-recorded behavioral data on such devices, it is desirable to employ digital traces on mobile devices rather than self-reported measures to capture the behavioral patterns underlying the use of mobile health (mHealth) apps in a more direct and valid way.

Objective

The objectives of this study were to (1) assess the demographic predictors of the adoption of mHealth apps; (2) investigate the temporal pattern underlying the use of mHealth apps; and (3) explore the impacts of demographic variables, temporal features, and app genres on the use of mHealth apps.

Methods

Logfile data of mobile devices were collected from a representative panel of about 2500 users in Hong Kong. Users’ mHealth app activities were analyzed. We first conducted a binary logistic regression analysis to uncover demographic predictors of users’ adoption status. Then we utilized a multilevel negative binomial regression to examine the impacts of demographic characteristics, temporal features, and app genres on mHealth app use.

Results

It was found that 27.5% of mobile device users in Hong Kong adopt at least one genre of mHealth app. Adopters of mHealth apps tend to be female and better educated. However, demographic characteristics did not showcase the predictive powers on the use of mHealth apps, except for the gender effect (B_female vs B_male=–0.18; P=.006). The use of mHealth apps demonstrates a significant temporal pattern, which is found to be moderately active during daytime and intensifying at weekends and at night. Such temporal patterns in mHealth apps use are moderated by individuals’ demographic characteristics. Finally, demographic characteristics were also found to condition the use of different genres of mHealth apps.

Conclusions

Our findings suggest the importance of dynamic perspective in understanding users’ mHealth app activities. mHealth app developers should consider more the demographic differences in temporal patterns of mHealth apps in the development of mHealth apps. Furthermore, our research also contributes to the promotion of mHealth apps by emphasizing the differences of usage needs for various groups of users.