Potential of Mobile Health Technology to Reduce Health Disparities in Underserved Communities

Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research

Over the past quarter-century, mobile health (mHealth) technologies have experienced significant changes in adoption rates, adaptation strategies, and instances of abandonment. Understanding the underlying factors driving these trends is essential for optimizing the design, implementation, and sustainability of interventions using these technologies. The evolution of mHealth adoption has followed a progressive trajectory, starting with cautious exploration and later accelerating due to technological advancements, increased smartphone penetration, and growing acceptance of digital health solutions by both health care providers and patients. However, alongside widespread adoption, challenges related to usability, interoperability, privacy concerns, and socioeconomic disparities have emerged, necessitating ongoing adaptation efforts. While many mHealth initiatives have successfully adapted to address these challenges, technology abandonment remains common, often due to unsustainable business models, inadequate user engagement, and insufficient evidence of effectiveness. This paper utilizes the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework to examine the interplay between the academic and industry sectors in patterns of adoption, adaptation, and abandonment, using 3 major mHealth innovations as examples: health-related SMS text messaging, mobile apps and wearables, and social media for health communication. Health SMS text messaging has demonstrated significant potential as a tool for health promotion, disease management, and patient engagement. The proliferation of mobile apps and devices has facilitated a shift from in-person and in-clinic practices to mobile- and wearable-centric solutions, encompassing everything from simple activity trackers to advanced health monitoring devices. Social media, initially characterized by basic text-based interactions in chat rooms and online forums, underwent a paradigm shift with the emergence of platforms such as MySpace and Facebook. This transition ushered in an era of mass communication through social media. The rise of microblogging and visually focused platforms such as Twitter(now X), Instagram, Snapchat, and TikTok, along with the integration of live streaming and augmented reality features, exemplifies the ongoing innovation within the social media landscape. Over the past 25 years, there have been remarkable strides in the adoption and adaptation of mHealth technologies, driven by technological innovation and a growing recognition of their potential to revolutionize health care delivery. Each mobile technology uniquely enhances public health and health care by catering to different user needs. SMS text messaging offers wide accessibility and proven effectiveness, while mobile apps and wearables provide comprehensive functionalities for more in-depth health management. Social media platforms amplify these efforts with their vast reach and community-building potential, making it essential to select the right tool for specific health interventions to maximize impact and engagement. Nevertheless, continued efforts are needed to address persistent challenges and mitigate instances of abandonment, ensuring that mHealth interventions reach their full potential in improving health outcomes and advancing equitable access to care.

Triage Accuracy and the Safety of User-Initiated Symptom Assessment With an Electronic Symptom Checker in a Real-Life Setting: Instrument Validation Study

BACKGROUND

Previous studies have evaluated the accuracy of the diagnostics of electronic symptom checkers (ESCs) and triage using clinical case vignettes. National Omaolo digital services (Omaolo) in Finland consist of an ESC for various symptoms. Omaolo is a medical device with a Conformité Européenne marking (risk class: IIa), based on Duodecim Clinical Decision Support, EBMEDS.

OBJECTIVE

This study investigates how well triage performed by the ESC nurse triage within the chief symptom list available in Omaolo (anal region symptoms, cough, diarrhea, discharge from the eye or watery or reddish eye, headache, heartburn, knee symptom or injury, lower back pain or injury, oral health, painful or blocked ear, respiratory tract infection, sexually transmitted disease, shoulder pain or stiffness or injury, sore throat or throat symptom, and urinary tract infection). In addition, the accuracy, specificity, sensitivity, and safety of the Omaolo ESC were assessed.

METHODS

This is a clinical validation study in a real-life setting performed at multiple primary health care (PHC) centers across Finland. The included units were of the walk-in model of primary care, where no previous phone call or contact was required. Upon arriving at the PHC center, users (patients) answered the ESC questions and received a triage recommendation; a nurse then assessed their triage. Findings on 877 patients were analyzed by matching the ESC recommendations with triage by the triage nurse.

RESULTS

Safe assessments by the ESC accounted for 97.6% (856/877; 95% CI 95.6%-98.0%) of all assessments made. The mean of the exact match for all symptom assessments was 53.7% (471/877; 95% CI 49.2%-55.9%). The mean value of the exact match or overly conservative but suitable for all (ESC's assessment was 1 triage level higher than the nurse's triage) symptom assessments was 66.6% (584/877; 95% CI 63.4%-69.7%). When the nurse concluded that urgent treatment was needed, the ESC's exactly matched accuracy was 70.9% (244/344; 95% CI 65.8%-75.7%). Sensitivity for the Omaolo ESC was 62.6% and specificity of 69.2%. A total of 21 critical assessments were identified for further analysis: there was no indication of compromised patient safety.

CONCLUSIONS

The primary objectives of this study were to evaluate the safety and to explore the accuracy, specificity, and sensitivity of the Omaolo ESC. The results indicate that the ESC is safe in a real-life setting when appraised with assessments conducted by triage nurses. Furthermore, the Omaolo ESC exhibits the potential to guide patients to appropriate triage destinations effectively, helping them to receive timely and suitable care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/41423.

Emerging trends and patterns in healthcare-seeking behavior: A systematic review

OBJECTIVES

The study of healthcare-seeking behavior is essential for optimizing resource allocation and improving healthcare services. Its complexity and diversity have made it a prominent research area. Understanding factors influencing healthcare-seeking decisions allows targeted interventions and policy development to address barriers and ensure equitable access to quality healthcare for diverse populations. Such research plays a vital role in enhancing healthcare outcomes and overall population health.

METHODS

The study utilized a systematic quantitative literature review approach, employing the Web of Science (WOS) Core Collection and PubMed databases as data sources. Additionally, bibliometric tools such as CiteSpace and VOSviewer were employed for analysis and visualization of the literature.

RESULTS

A comprehensive statistical analysis and visualization were performed on the annual publication volume, publication countries, journals, keywords, and keyword co-occurrence patterns up until 2023. Through this analysis, a framework was established, identifying the determinants and fundamental elements of healthcare-seeking behavior. These findings contribute to the advancement of research in this field and inform future studies and interventions aimed at improving healthcare-seeking behavior.

CONCLUSIONS

Based on the aforementioned literature review and framework, several conclusions were drawn. The determinants that facilitate healthcare-seeking behavior include improving health education awareness, enhancing healthcare resources, reducing costs, and ensuring system soundness. Additionally, providing social environment support was found to be crucial. Furthermore, the fundamental elements of healthcare-seeking behavior were identified as healthcare demand, healthcare choices, and the process of diagnosis and treatment. These findings provide valuable insights for developing interventions and policies to promote optimal healthcare-seeking behavior.

Socio-ethical challenges and opportunities for advancing diversity, equity, and inclusion in digital medicine

Digitalization in medicine offers a significant opportunity to transform healthcare systems by providing novel digital tools and services to guide personalized prevention, prediction, diagnosis, treatment and disease management. This transformation raises a number of novel socio-ethical considerations for individuals and society as a whole, which need to be appropriately addressed to ensure that digital medical devices (DMDs) are widely adopted and benefit all patients as well as healthcare service providers. In this narrative review, based on a broad literature search in PubMed, Web of Science, Google Scholar, we outline five core socio-ethical considerations in digital medicine that intersect with the notions of equity and digital inclusion: (i) access, use and engagement with DMDs, (ii) inclusiveness in DMD clinical trials, (iii) algorithm fairness, (iv) surveillance and datafication, and (v) data privacy and trust. By integrating literature from multidisciplinary fields, including social, medical, and computer sciences, we shed light on challenges and opportunities related to the development and adoption of DMDs. We begin with an overview of the different types of DMDs, followed by in-depth discussions of five socio-ethical implications associated with their deployment. Concluding our review, we provide evidence-based multilevel recommendations aimed at fostering a more inclusive digital landscape to ensure that the development and integration of DMDs in healthcare mitigate rather than cause, maintain or exacerbate health inequities.

Development of an App for Tracking Family Engagement With Early Intervention Services: Focus Groups and Pilot Evaluation Study

BACKGROUND

Expedient access to early intervention (EI) systems has been identified as a priority for children with developmental delays, identified disabilities, and other special health care needs. Despite the mandated availability of EI, it remains challenging for families to navigate referral processes and establish appropriate services. Such challenges disproportionately affect families from traditionally underserved communities. Mobile health apps can improve clinical outcomes, increase accessibility to health services, and promote adherence to health-related interventions. Though promising, the implementation of apps within routine care is in its infancy, with limited research examining the components of what makes an effective app or how to reach families most impacted by inequities in health care delivery.

OBJECTIVE

In study 1, we conducted focus groups to access a broad range of perspectives on the process of navigating the EI system, with the dual goals of identifying ways in which a patient-facing app might facilitate this process and identifying barriers to use with traditionally underrepresented and underserved groups. In study 2, focus group findings informed the development of a patient-facing app, which was subsequently tested with a pilot sample of 5 families.

METHODS

In study 1, the focus groups included 29 participants from 4 shareholder groups. Targeted sampling was used to recruit participants from traditionally underrepresented groups. Focus group questions sought information about barriers families experience as they navigate the EI system, ideal features of a patient-facing app designed to track family engagement with the EI system, and potential barriers. Focus group procedures were informed by the Consolidated Framework for Implementation Research framework. In study 2, a pilot app was developed. The app was tested with a sample of 5 families of young children involved in the EI system. Families provided information on app functionality and usability.

RESULTS

Qualitative analysis revealed a desire for increased communication and information about the process of accessing EI services, potential utility of an app for communication purposes, and clear recommendations for app features. Insights from focus groups were used to inform the development of the Family on Track app and related implementation supports. App features included survey customization, timing and delivery of prompts, and questions related to barriers and service satisfaction. Implementation supports include a visual guide for app installation, resources related to common family questions, and availability of study personnel to guide families through installation and provide ongoing support. Field testing provided preliminary information about app usability, including identifying future directions.

CONCLUSIONS

The results of this study could support the development of a new way for the EI system to communicate and connect with families, provide families with a means to communicate satisfaction and frustration, and access the supports they need to be active participants in their child's care.

Digital Well-being Through the Use of Technology-A Perspective

"No man is an island unto himself" - John Donne According to the World Health Organization, health is "a state of complete physical, mental and social well-being and not merely the absence of disease and infirmity." Our healthcare industry, public behaviors, and environment have grown exponentially with digital technologies in the era of the 4^th industrial revolution. Due to rapid digitalization and easy availability of the internet, we are now online round the clock on our digital devices, leaving behind digital traces/information. These digital footprints serve as an increasingly fruitful data source for social scientists, including those interested in demographic research. The collection and use of digital data (quantitative and qualitative) also present numerous statistical and computational opportunities, further motivating the development of new research approaches to address health issues. In this paper, we have described the concept of digital well-being and proposed how we can use digital information for good health.

Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health

Just-in-time adaptive interventions (JITAIs) represent an intervention design that adapts the provision and type of support over time to an individual's changing status and contexts, intending to deliver the right support on the right occasion. As a novel strategy for delivering mobile health interventions, JITAIs have the potential to improve access to quality care in underserved communities and, thus, alleviate health disparities, a significant public health concern. Valid experimental designs and analysis methods are required to inform the development of JITAIs. Here, we briefly review the cutting-edge design of microrandomized trials (MRTs), covering both the classical MRT design and its outcome-adaptive counterpart. Associated statistical challenges related to the design and analysis of MRTs are also discussed. Two case studies are provided to illustrate the aforementioned concepts and designs throughout the article. We hope our work leads to better design and application of JITAIs, advancing public health research and practice. (Am J Public Health. 2023;113(1):60-69. https://doi.org/10.2105/AJPH.2022.307150).

End-users' perspectives on the quality and design of mHealth technologies during the COVID-19 pandemic in the Philippines: A Qualitative Study

BACKGROUND

The COVID-19 pandemic has expanded the use of mHealth technologies in contact tracing, communicating COVID-related information, and monitoring the health conditions of the general population in the Philippines. However, the limited end-user engagement in the features and feedback along the development cycle of mHealth technologies results to risks in adoption. The WHO recommends user-centric design and development of mHealth technologies to ensure responsiveness to the needs of the end-users.

OBJECTIVE

The goal of the study is to understand, using the end-users' perspectives, the design and quality of mHealth technology implementations in the Philippines during the COVID-19 pandemic with focus on areas identified by stakeholders: 1) utility, 2) technology readiness level, 3) design, 4) information, 5) usability, 6) features, and 7) security and privacy.

METHODS

Using a descriptive qualitative design, we conducted five interviews and three FGDs with a total of 16 participants, six males and ten females. Questions were based on the Mobile App Rating Scale (MARS). Utilizing the cyclical coding approach, transcripts were analyzed using NVivo 12. Domains and themes were identified.

RESULTS

The qualitative analysis identified eighteen themes that were organized under the seven focus areas: 1) utility: use of mHealth technologies; motivations in using mHealth; 2) technology readiness: mobile technology literacy, user segmentation; 3) design: user interface design, language and content accessibility, and technology design; 4) information: accuracy of information, use of information; 5) usability: design factors, dependency on human processes, and technical issues; 6) features: interoperability and data integration, other feature and design recommendations, and technology features and upgrades, and 7) privacy and security: trust that mHealth can secure data, lack of information, and policies. To highlight, accessibility, privacy and security, simple interface, and integration are some of the design and quality areas that end-users find important and consider in using mHealth tools.

CONCLUSIONS

Engaging end-users in the development and design of mHealth technologies ensures adoption and accessibility making it a valuable tool in curbing the pandemic. The six principles for developers, researchers, and implementers to consider when scaling up or developing new mHealth solutions in low resource settings are: 1) should be driven by value in its implementation; 2) should be inclusive; 3) addresses users' physical and cognitive restrictions; 4) ensures privacy and security; 5) designed in accordance to digital health systems' standards; and 6) should be trusted by the end-users.

CLINICALTRIAL

mHealth Technology Design and Evaluation for Early Childhood Health Promotion: Systematic Literature Review

BACKGROUND

Recent increases in smartphone ownership among underserved populations have inspired researchers in medicine, computing, and health informatics to design and evaluate mobile health (mHealth) interventions, specifically for those supporting child development and growth. Although these interventions demonstrate possible effectiveness at larger scales, few of these interventions are evaluated to address racial disparities and health equity, which are known factors that affect relevance, uptake, and adherence in target populations.

OBJECTIVE

In this study, we aimed to identify and document the current design and evaluation practices of mHealth technologies that promote early childhood health, with a specific focus on opportunities for those processes to address health disparities and health equity.

METHODS

We completed a systematic literature review of studies that design and evaluate mHealth interventions for early childhood health promotion. We then analyzed these studies to identify opportunities to address racial disparities in early- and late-stage processes and to understand the potential efficacy of these interventions.

RESULTS

Across the literature from medical, computing, and health informatics fields, we identified 15 articles that presented a design or evaluation of a parent-facing health intervention. We found that using mobile-based systems to deliver health interventions was generally well accepted by parents of children aged <5 years. We also found that, when measured, parenting knowledge of early childhood health topics and confidence to engage in health-promoting behaviors improved. Design and evaluation methods held internal consistency within disciplines (eg, experimental study designs were the most prevalent in medical literature, while computing researchers used user-centered design methods in computing fields). However, there is little consistency in design or evaluation methods across fields.

CONCLUSIONS

To support more interventions with a comprehensive design and evaluation process, we recommend attention to design at the intervention (eg, reporting content sources) and system level; interdisciplinary collaboration in early childhood health intervention development can lead to large-scale deployment and success among populations.

TRIAL REGISTRATION

PROSPERO CRD42022359797; https://tinyurl.com/586nx9a2.

Attitudes of children, adolescents, and their parents toward digital health interventions: a scoping review (Preprint)

BACKGROUND

The prevalence of mental health problems in children and adolescents is high. As these problems can impact this population's developmental trajectories, they constitute a public health concern. This situation is accentuated by the fact that children and adolescents infrequently seek help. Digital health interventions (DHIs) offer an opportunity to bridge the treatment gap between health care needs and patient engagement in care. Additional detailed research is needed to identify how children and adolescents can be empowered to access help through DHIs. In this context, an understanding of their attitudes toward digital health appears to be a necessary first step in facilitating the effective implementation of DHIs.

OBJECTIVE

This study aimed to establish an inventory of children's, adolescents', and their parents' attitudes toward DHIs.

METHODS

A scoping review following PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) recommendations was performed using the MEDLINE, Embase, and PsycINFO databases. This research was conducted using 3 key concepts: "child and adolescent mental health service users," "digital health interventions," and "attitudes." Data extracted included the name of the publishing journal, the methodology used, the target population, the DHI studied, and the principal results.

RESULTS

Of 1548 studies found, 30 (1.94%) were included in our analysis. Among these, 13 concerned satisfaction, 24 concerned preferences, 22 concerned the use of DHI, 11 concerned perception, and 10 concerned needs.

CONCLUSIONS

The results of this study provide a better understanding of the factors influencing children's and adolescents' attitudes toward digital health and DHIs. The continued growth of DHIs can help reduce barriers to mental health care. Future research on these interventions should investigate the needs of the targeted populations to increase their engagement in care.

Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review

The objectives of this review were to map and summarize the existing evidence from a global perspective about inequity in access and delivery of virtual care interventions and to identify strategies that may be adopted by virtual care services to address these inequities. We searched MEDLINE, EMBASE, and CINAHL using both medical subject headings (MeSH) and free-text keywords for empirical studies exploring inequity in ambulatory services offered virtually. Forty-one studies were included, most of them cross-sectional in design. Included studies were extracted using a customized extraction tool, and descriptive analysis was performed. The review identified widespread differences in accessing and using virtual care interventions among cultural and ethnic minorities, older people, socioeconomically disadvantaged groups, people with limited digital and/or health literacy, and those with limited access to digital devices and good connectivity. Potential solutions addressing these barriers identified in the review included having digitally literate caregivers present during virtual care appointments, conducting virtual care appointments in culturally sensitive manner, and having a focus on enhancing patients’ digital literacy. We identified evidence-based practices for virtual care interventions to ensure equity in access and delivery for their virtual care patients.

A Novel Bayesian General Medical Diagnostic Assistant Achieves Superior Accuracy With Sparse History

Online AI symptom checkers and diagnostic assistants (DAs) have tremendous potential to reduce misdiagnosis and cost, while increasing the quality, convenience, and availability of healthcare, but only if they can perform with high accuracy. We introduce a novel Bayesian DA designed to improve diagnostic accuracy by addressing key weaknesses of Bayesian Network implementations for clinical diagnosis. We compare the performance of our prototype DA (MidasMed) to that of physicians and six other publicly accessible DAs (Ada, Babylon, Buoy, Isabel, Symptomate, and WebMD) using a set of 30 publicly available case vignettes, and using only sparse history (no exam findings or tests). Our results demonstrate superior performance of the MidasMed DA, with the correct diagnosis being the top ranked disorder in 93% of cases, and in the top 3 in 96% of cases.

Age and socioeconomic status affect access to telemedicine at an urban level 1 trauma center

Objectives:

Despite clinical and economic advantages, routine utilization of telemedicine remains uncommon. The purpose of this study was to examine potential disparities in access and utilization of telehealth services during the rapid transition to virtual clinic during the coronavirus pandemic.

Design:

Retrospective chart review.

Setting:

Outpatient visits (in-person, telephone, virtual—Doxy.me) over a 7-week period at a Level I Trauma Center orthopaedic clinic.

Intervention:

Virtual visits utilizing the Doxy.me platform.

Main Outcome Measures:

Accessing at least 1 virtual visit (“Virtual”) or having telephone or in-person visits only (“No virtual”).

Methods:

All outpatient visits (in-person, telephone, virtual) during a 7-week period were tracked. At the end of the 7-week period, the electronic medical record was queried for each of the 641 patients who had a visit during this period for the following variables: gender, ethnicity, race, age, payer source, home zip code. Data were analyzed for both the total number of visits (n = 785) and the total number of unique patients (n = 641). Patients were identified as accessing at least 1 virtual visit (“Virtual”) or having telephone or in-person visits only (“No virtual”).

Results:

Weekly totals demonstrated a rapid increase from 0 to greater than 50% virtual visits by the third week of quarantine with sustained high rates of virtual visits throughout the study period. Hispanic and Black/African American patients were able to access virtual care at similar rates to White/Caucasian patients. Patients of ages 65 to 74 and 75+ accessed virtual care at lower rates than patients ≤64 (P = .003). No difference was found in rates of virtual care between payer sources. A statistically significant difference was found between patients from different zip codes (P = .028).

Conclusion:

A rapid transition to virtual clinic can be performed at a level 1 trauma center, and high rates of virtual visits can be maintained. However, disparities in access exist and need to be addressed.

A Program to Improve Digital Access and Literacy Among Community Stakeholders: Cohort Study

BACKGROUND

For many research teams, the role of community stakeholders is critical. However, community stakeholders, especially those in low-income settings, are at risk of being excluded from research and community engagement initiatives during and after the COVID-19 pandemic because of the rapid transition to digital operations.

OBJECTIVE

We aimed to describe the implementation and feasibility of a program called Addressing the Digital Divide to Improve Patient-Centered Outcomes Research, which was designed to address barriers to technology use, and to examine changes in participants' perceived comfort with digital technology before and after the program.

METHODS

To promote full engagement, we worked with 20 existing community leaders to cocreate a training course on using digital technology. We assessed the frequency of technology use and comfort with technology through an adapted 8-item version of the Functional Assessment of Comfort Employing Technology Scale and used the Wilcoxon signed-rank test for survey analysis. We also conducted a focus group session with 10 participants and then performed reflective journaling and content analysis to determine emergent themes.

RESULTS

We found that the program was feasible to implement and worthwhile for participants (15/16, 94%). After the program, the participants perceived an increase in the frequency of technology use (z=2.76, P=.006). The participants reported that the program was successful because of the technology training program, but recommended that the program have a slower pace and include a helpline number that they could call with questions.

CONCLUSIONS

Future programs should consider that populations with low literacy view technology training as a core element to decreasing technology disparity. This study demonstrates that through low-cost input, community members can be provided the resources and training needed to virtually participate in research studies or community engagement initiatives.

Correlates of engagement within an online HIV prevention intervention for single young men who have sex with men: The myDEx project (Preprint)

Background

Objective

Methods

Results

Conclusions

Trial Registration

Mental health services in primary care: Evidence for the feasibility of telehealth during the COVID-19 pandemic

Background

This study examined the transition to telehealth services during the COVID-19 pandemic in terms of attendance rates, the provision of evidence-based interventions, and clinical outcomes.

Methods

The feasibility of in-person versus telehealth visits for integrated primary care sessions was compared using chart review data. Data on patient characteristics, attendance, symptom severity and improvement, and evidence-based intervention use were collected for patients (N = 173) from an integrated primary clinic that primarily serves a low-income, diverse sample of adults and children whose primary presenting problems are depression and anxiety.

Results

Attendance significantly improved after the transition to telehealth, as indicated by fewer cancellations and more appointments attended. Patients showed significant improvement and decreases in symptoms. The quality of care was maintained, as indicated by consistent evidence-based intervention use over time.

Limitations

This study was limited by the fact that it took place in an academically-affiliated primary care clinic, which may not be representative of all community settings. In addition, analyses related to clinical symptoms were only conducted with a small subset of participants and there was no comparison group.

Conclusions

Telehealth through integrated primary care might be a viable option to improve accessibility of mental health services for low-income, racial/ethnic minority adults and children.

Quality and readability of internet information about stuttering

PURPOSE

We examined the quality and readability of English-language Internet information about stuttering and evaluated the results considering recommendations by experts in health literacy.

METHOD

A search of Internet websites containing information about stuttering was conducted. Three key words (i.e., stuttering, stammering, speech disfluency) were entered into five country-specific versions of the most commonly used Internet search engine. A total of 79 websites were assessed. Their origin (commercial, non-profit, government, personal or university), quality [Health On the Net (HON) certification and DISCERN scores], and readability [Flesch Reading Ease (FRE) score, Flesch-Kincaid Grade Level Formula (F-KGL), and Simple Measure of Gobbledygook (SMOG)] were assessed.

RESULTS

Of the 79 websites, 38 % were of commercial, 42 % were of nonprofit organization, 15 % were of government and 5% were of university origins, respectively. Only 13 % had obtained HON certification and the mean DISCERN scores was 3.10 in a 5-point scale. The mean reading grade levels were at 13th and 14th grade and 100 % of the websites exceeded the recommended 5th to 6th reading grade level for health information.

CONCLUSIONS

The quality of Internet-based health information about the treatment of stuttering is generally adequate, but actual usability of the sites examined in this study may be limited due to poor readability levels. This is problematic in persons with poor literacy skills. Since the Internet can be readily accessed as a valuable consumer information resource, speech-language pathologists and other healthcare professionals have an opportunity to direct consumers to websites that provide readable information of good quality.

Social determinants and cardiovascular care: A focus on vulnerable populations and the Jamaica experience

The concept of social determinants of health (SDOH) describes the complex interplay of social, economic, cultural, and environmental forces that influence health and illness and result in health inequities in society. In cardiovascular disease (CVD), SDOH play a significant role in contributing to the severe morbidity and mortality that various cardiovascular diseases inflict on our societies. The components of SDOH include wealth/income, employment status, education, social interactions/support, access to medical care (including mental health services), housing, transportation, physical environment (including availability of green space, water/sanitation, air pollution, noise pollution), work environment, access to good nutrition, social and community networks, access to technology and data, exposure to crime/social disorder/violence, exposure to adverse law enforcement/bad governance, and cultural norms. Leveraging reliable SDOH data is critical to addressing healthcare needs of the community. At‐risk populations must be connected to the appropriate resources needed to overcome these barriers to access to achieve better health outcomes. This review explores this theme with a focus on several vulnerable populations and offers possible strategies to reduce these inequalities. The Heart Institute of the Caribbean (HIC) was founded in 2005 to improve access to quality medical and cardiovascular services, made available to everyone regardless of their socioeconomic status. HIC has encountered and learned to navigate a myriad structural, institutional, socio‐economic, cultural, and behavioral barriers to appropriate CVD care for vulnerable populations in Jamaica and the wider Caribbean. The successes attained and the lessons learned by HIC can be replicated in other nations to address social determinants that impede cardiovascular and medical care in vulnerable populations and may alleviate the access gap in high‐quality care in developing countries and in underserved and marginalized communities in developed countries.

A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak

PURPOSE

The objective of this paper was to review the functionalities and effectiveness of the free mobile health applications available in the Google Play and App stores used in Saudi Arabia, Italy, Singapore, the United Kingdom, USA, and India during the COVID-19 outbreak.

METHODS

This study adopted a systematic search strategy to identify the free mobile applications available in the App and Google Play stores related to the COVID-19 outbreak. According to the PRISMA flowchart of the search, only 12 applications met the inclusion criterion.

RESULTS

The 12 mobile applications that met the inclusion criterion were: Mawid, Tabaud, Tawakkalna, Sehha, Aarogya setu, TraceTogether, COVID safe, Immuni, COVID symptom study, COVID watch, NHS COVID-19, and PathCheck. The following features and functionalities of the apps were described: app overview (price, ratings, android, iOS, developer/owner, country, status), health tools (user status-risk assessment, self-assessment, E-pass integration, test results reporting, online consultation, contact tracing), learning options (personalized notes, educational resources, COVID-19 information), communication tools (query resolution, appointments, social network, notifications), app design (data visualization, program plan), networking tools (location mapping - GPS, connectivity with other devices), and safety and security options (alerts, data protection). Also, the effectiveness of the apps was analyzed.

CONCLUSION

The analysis revealed that various applications have been developed for different functions like contact tracing, awareness building, appointment booking, online consultation, etc. However, only a few applications have integrated various functions and features such as self-assessment, consultation, support and access to information. Also, most of the apps are focused on contact tracing, while very few are dedicated to raising awareness and sharing information about the COVID-19 pandemic. Likewise, the majority of applications rely on GPS and Bluetooth technologies for relevant functions. No apps were identified that had built-in social media features. It is suggested to design and develop an integrated mobile health application with most of the features and functionalities analyzed in this study.

The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis

BACKGROUND AND OBJECTIVES

Mobile health is the health care use of mobile devices, such as smartphones. Mobile health readiness is a prerequisite to successful implementation of mobile health programs. The aim of this study was to examine the status and correlates of mobile health readiness among individuals on dialysis.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

A cross-sectional 30-item questionnaire guided by the Khatun mobile health readiness conceptual model was distributed to individuals on dialysis from 21 in-center hemodialysis facilities and 14 home dialysis centers. The survey assessed the availability of devices and the internet, proficiency, and interest in using mobile health.

RESULTS

In total, 949 patients (632 hemodialysis and 317 home dialysis) completed the survey. Of those, 81% owned smartphones or other internet-capable devices, and 72% reported using the internet. The majority (70%) reported intermediate or advanced mobile health proficiency. The main reasons for using mobile health were appointments (56%), communication with health care personnel (56%), and laboratory results (55%). The main reported concerns with mobile health were privacy and security (18%). Mobile health proficiency was lower in older patients: compared with the 45- to 60-years group, respondents in age groups <45, 61-70, and >70 years had adjusted odds ratios of 5.04 (95% confidence interval, 2.23 to 11.38), 0.39 (95% confidence interval, 0.24 to 0.62), and 0.22 (95% confidence interval, 0.14 to 0.35), respectively. Proficiency was lower in participants with Hispanic/Latinx ethnicity (adjusted odds ratio, 0.49; 95% confidence interval, 0.31 to 0.75) and with less than college education (adjusted odds ratio for "below high school," 0.09; 95% confidence interval, 0.05 to 0.16 and adjusted odds ratio for "high school only," 0.26; 95% confidence interval, 0.18 to 0.39). Employment was associated with higher proficiency (adjusted odds ratio, 2.26; 95% confidence interval, 1.18 to 4.32). Although home dialysis was associated with higher proficiency in the unadjusted analyses, we did not observe this association after adjustment for other factors.

CONCLUSIONS

The majority of patients on dialysis surveyed were ready for, and proficient in, mobile health. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER DIALYSIS MHEALTH SURVEY,: NCT04177277.

A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis

AI virtual assistants have significant potential to alleviate the pressure on overly burdened healthcare systems by enabling patients to self-assess their symptoms and to seek further care when appropriate. For these systems to make a meaningful contribution to healthcare globally, they must be trusted by patients and healthcare professionals alike, and service the needs of patients in diverse regions and segments of the population. We developed an AI virtual assistant which provides patients with triage and diagnostic information. Crucially, the system is based on a generative model, which allows for relatively straightforward re-parameterization to reflect local disease and risk factor burden in diverse regions and population segments. This is an appealing property, particularly when considering the potential of AI systems to improve the provision of healthcare on a global scale in many regions and for both developing and developed countries. We performed a prospective validation study of the accuracy and safety of the AI system and human doctors. Importantly, we assessed the accuracy and safety of both the AI and human doctors independently against identical clinical cases and, unlike previous studies, also accounted for the information gathering process of both agents. Overall, we found that the AI system is able to provide patients with triage and diagnostic information with a level of clinical accuracy and safety comparable to that of human doctors. Through this approach and study, we hope to start building trust in AI-powered systems by directly comparing their performance to human doctors, who do not always agree with each other on the cause of patients’ symptoms or the most appropriate triage recommendation.

Using telehealth for diabetes self-management in underserved populations

Diabetes self-management is a complex process and central to well-being of patients with this chronic disorder. A patient-centered telehealth program may potentially meet needs of those in underserved populations to reduce socioeconomic disparities. Achieving this goal requires a focused concentration on health behaviors and practices of individuals in underserved populations.

"Making It Work": A Preliminary Mixed Methods Study of Rural Trauma Care Access and Resources in New Mexico

Introduction

Patients in the rural western United States face challenges accessing trauma and surgical services and are more likely to succumb to their injuries. New Mexico, a rural and medically underresourced state, is a salient space to study these disparities. We examine how travel distance from trauma centers impacts injured patient outcomes and describe care delivery obstacles.

Materials and Methods

We conducted an explanatory mixed methods study by creating geospatial maps of New Mexico’s trauma data, incorporating linear regression analyses on patient outcomes as a function of estimated travel distance from trauma centers. We also conducted qualitative semi-structured interviews with trauma providers to illuminate and provide context for the geospatial findings utilizing a systematic, collaborative, iterative transcript analysis process. We constructed a conceptual framework describing rural trauma care delivery obstacles.

Results

Geospatial analyses revealed that most New Mexicans face long travel times to trauma centers. Comparing regression analyses using different data sources suggests that solely hospital-derived data may undercount rural trauma deaths. Interviews with 10 providers suggest that elements that may contribute to these findings include on-the-ground resource-based challenges and those related to broader healthcare systems-based issues. Our conceptual framework denotes how these elements collectively may impact rural trauma outcomes and proposes potential solutions.

Conclusions

In addressing rural patients’ needs, healthcare policy decision-makers should ensure that their datasets are comprehensive and inclusive. They must also take into account the particular challenges of underserved rural patients and providers who care for them by eliciting their perspectives, as presented in our conceptual framework.

Telehealth Training Is Essential to Care for Underserved Populations: a Medical Student Perspective

Telehealth is an area of medicine which has magnified the ability to treat patients remotely. Presently the education of medical professionals pertaining to the value, use, and implementation of telehealth is not adequate to harness the potential of available technologies. Patients engaging in telehealth experience time and cost savings, improved disease management through remote monitoring programs, and high-quality care regardless of geographic location. Despite this, medical education has been slow to evolve. It is therefore imperative that medical curricula incorporate training for this rapidly advancing mode of healthcare delivery to enable students to best care for their future patient population.

Outcomes of a Rapid Adolescent Telehealth Scale-Up During the COVID-19 Pandemic

PURPOSE

To describe the first 30 days of rapid adolescent telehealth scale-up in response to the coronavirus (COVID-19) pandemic at a single academic medical center and assess for disparities in visit completion rates by patient characteristics.

METHODS

Visit outcome and patient demographic data were obtained via electronic health record (EHR) reports. Telehealth visit completion rates were compared by patient characteristics using the chi-square test and t-test. We used zip code data to generate latitude- and longitude-based maps of the range and density of service delivery. Patient cases highlighting challenges and opportunities for adolescent telehealth were summarized.

RESULTS

Between March 16 and April 15, 2020, 392 telehealth visits were scheduled in 331 unique patients, with an 82% appointment completion rate. Video visits were conducted for eating disorders (39%), contraception/menstrual disorders (22%), gender-affirming care (17%), general adolescent medicine (15%), HIV treatment (6%), and substance abuse (1%). The majority of telehealth patients were female Caucasian minors with private insurance. There were no significant differences in telehealth visit completion rates by age, sex, gender, or insurance. Patients coded as non-white (African-American, Asian, or other) in the EHR had lower visit completion rates than white patients (p = .003). Telehealth patients were distributed across five states, with the highest concentration in the zip codes nearest to the clinic.

CONCLUSIONS

Rapid scale-up of telehealth for Adolescent Medicine was achieved at this large academic medical center. Future implementation research is needed to assure telehealth reaches adolescents without widening health disparities.

Attitudes of the Public to Receiving Medical Care during Emergencies through Remote Physician-Patient Communications

Providing health services through remote communications for sub-acute health issues during emergencies may help reduce the burden of the health care system and increase availability of care. This study aimed to investigate the attitudes of the public towards receiving medical services and providing medical information through remote communication in times of emergencies. During the pandemic outbreak of the novel coronavirus (COVID-19), pandemic outbreak, 507 participants answered a structured online survey, rating their mean willingness to receive medical care and provide medical information, on a four-point Likert scale. Furthermore, demographic characteristics, social media use, and trust in data protection was collected. The mean willingness to receive medical services was 3.1 ± 0.6 and the mean willingness to provide medical information was 3.0 ± 0.7, with a strong significant correlation between the two (r = 0.76). The multiple regression model identified higher trust in data protection, level of education, and social media use as statistically significant predictors for a higher willingness to receive medical information while the first two predicted willingness to provide information. The findings suggest an overall positive attitude to receive medical care through remote communications.

Rapid Adoption of Telehealth at an Interprofessional Student-Run Free Clinic

INTRODUCTION

Student-run free clinics (SRFCs) have become important primary care homes during the COVID-19 pandemic. With students pulled from clinical sites, funding deficits, SRFCs' voluntary nature, and no best practices for telehealth SRFCs, many have been forced to close. This report shares a systematic approach for implementing a telehealth clinic along with initial outcomes from the Dedicated to Aurora's Wellness and Needs (DAWN) SRFC.

METHODS

We utilized pilots with students, community volunteers, and patients to identify a telehealth platform. We implemented weekly plan-do-study-act (PDSA) cycles to develop a feasible interprofessional telehealth model. Key PDSA cycle goals included seamless utilization of platform, identification of necessary team members, appropriate scheduling of patients and volunteers, integration of interprofessional learners, positive patient and volunteer experience, and process for identifying and addressing patient social needs. Measured outcomes included total visits, no-show rates, and chief complaints addressed.

RESULTS

Outcomes from PDSA cycles included a resultant telehealth clinic team and model, workflow for outreach for social needs screening and navigation, and team training guides. Visit data and no-show rates from January 2020 through July 2020 demonstrated total visits returned to 60% of pre-COVID numbers while no-show rates decreased significantly below pre-COVID rates. A range of acute and chronic concerns were successfully managed via telehealth.

CONCLUSION

SRFCs are poised to continue serving an important role in caring for the country's most vulnerable populations. The DAWN telehealth implementation process, outcomes, and resultant protocols may help inform other SRFCs seeking to establish telehealth services.