scholarly journals Digital-Health Tourism Research-Methodology Coronavirus-Vaccination Trials: A Study Interpreting Geometa-Data Profiling to use Mobile-Health Technologies Nigeria

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Wan Rozaini Sheik Osman ◽  
◽  
Hapini Awang ◽  
Abdullahi Hassan Abdullahi Hassan ◽  
◽  
...  
Keyword(s):  
Learning Strategies ◽  
Mobile Health ◽  
Primary Healthcare ◽  
Research Methodology ◽  
Digital Health ◽  
Health Technology ◽  
Health Tourism ◽  
Health Technologies ◽  
Behavior Intention ◽  
Data Profiling

Digital-Health Tourism Innovation (DTI) worldwide is in its infancy due to the emergent of coronavirus (COVID-19) disease. With the growth of open geometa data, use of government electronic services including electronic health (e-health), electronic commerce (e-commerce) and mobile health (m-health), Artificial Intelligence (AI) and machine learning strategies. Health and primary healthcare sectors are currently adopting these innovations for socio-economic wellbeing. Digital-health (also termed as e-health) is part of digital tourism innovation. Adapting geometa data profiling to develop a digital-health tourism framework for Primary Healthcare Workers (PHWs) to use mobile health technologies in COVID-19 vaccination trials are the key challenges of this study. Nevertheless, digital health tourism skills have been launched in developing Nations that created thousands of jobs to protect digital tourism businesses from potential vulnerabilities. Despite the benefits of this novel innovation, its deployment and implementation have been treated by inadequate of ICT facilities, lack of geometa data pre-processing to remove noise, data integrity, insufficient of academic research fundings, and reliable research methodology beyond COVID-19 vaccination trials to highlight these aspects. Therefore, qualitative, and quantitative research methods using Precaution Adoption Model Process (PAMP) questionnaire are employed to enable new ways of pre-processing behavior intention factors items. Eight academic researchers who were conversant with digital health technology validated 28 behavior intention factors with average factor loading values of 50% to 75%. Pilot survey conducted among 700 respondents from March 18, 2020, to September 10, 2021, among them are undergraduate students that may use this technology for research purposes. Pre-processed geometa data have shown percentage frequency counts of internet access and other online services 8% to 95%, adapted training factors 49% to 92% and factor items 34% to 78.3% for hypothesis generation towards development of digital health tourism framework in finding explanation to COVID-19 economic challenges. Except behavior intention factors and factor items insights are known and mapped, mobile health technology design process may result in poor conclusions. Thus, patients recovered from COVID-19 infection can still be infected again.

The Ethics of Mobile Health Technology

2017 ◽  
Vol 41 (S1) ◽  
pp. S39-S39
Author(s):  
S. Galderisi ◽  
F. Caputo
Keyword(s):  
Health Equity ◽  
Mobile Health ◽  
New Technologies ◽  
Ethical Issues ◽  
Professional Associations ◽  
Health Technology ◽  
Ethical Guidelines ◽  
High Quality ◽  
Quality Healthcare ◽  
Health Technologies

IntroductionMobile health (m-health) technology has been growing rapidly in the last decades. The use of this technology represents an advantage, especially for reaching patients who otherwise would have no access to healthcare. However, many ethical issues arise from the use of m-health. Health equity, privacy policies, adequate informed consent and a competent, safe and high quality healthcare need to be guaranteed; professional standards and quality of doctor-patient relationship in the digital setting should not be lower than those set for in-person practice.AimsTo assess advantages and threats that may arise from the wide use of m-health technologies, in order to guarantee the application of the best medical practices, resulting in the highest quality healthcare.MethodsA literature search has been conducted to highlight the most pressing ethical issues emerging from the spreading of m-health technologies.ResultsFew ethical guidelines on the appropriate use of m-health have been developed to help clinicians adopt a professional conduct within digital settings. They focus on the need for professional associations to define ethical guidelines and for physicians to take care of their education and online behavior when using m-health technologies.ConclusionsThe rapid spreading of m-health technologies urges us to evaluate all ethical issues related to its use. It would be advisable to produce an ethical code for the use of these new technologies, to guarantee health equity, privacy protection, high quality doctor-patient relationships and to ensure that m-health is not chosen over traditional care for merely economic purposes.Disclosure of interestSG received honoraria or Advisory board/consulting fees from the following companies: Lundbeck, Janssen Pharmaceuticals, Hoffman-La Roche, Angelini-Acraf, Otsuka, Pierre Fabre and Gedeon-Richter. All other authors have declared.

Exclusion by Design: Lack of Information about Community Participation in COVID-19-related Mobile Apps and its Relationship to Digital Health Disparities (Preprint)

2021 ◽  
Author(s):  
Muhammed Yassin Idris ◽  
Maya Korin ◽  
Faven Araya ◽  
Sayeeda Chowdhury ◽  
Humberto Brown ◽  
...  
Keyword(s):  
Community Participation ◽  
Mobile Health ◽  
Medical Information ◽  
Mobile Apps ◽  
Digital Health ◽  
Community Based ◽  
Health Technologies ◽  
Community Needs ◽  
App Development ◽  
Communities Of Color

UNSTRUCTURED The rate and scale of transmission of COVID-19 overwhelmed healthcare systems worldwide, particularly in under-resourced communities of color that already faced a high prevalence of pre-existing health conditions. One way the health ecosystem has tried to address the pandemic is by creating mobile apps for telemedicine, dissemination of medical information, and disease tracking. As these new mobile health tools continue to be a primary format for healthcare, more attention needs to be given to their equitable distribution, usage, and accessibility. In this viewpoint collaboratively written by a community-based organization and a health app development research team, we present results of our systematic search and analysis of community engagement in mobile apps released between February and December 2020 to address the COVID-19 pandemic. We provide an overview of apps’ features and functionalities but could not find any publicly available information regarding whether these apps incorporated participation from communities of color disproportionately impacted by the pandemic. We argue that while mobile health technologies are a form of intellectual property, app developers should make public the steps taken to include community participation in app development. These steps could include community needs assessment, community feedback solicited and incorporated, and community participation in evaluation. These are factors that community-based organizations look for when assessing whether to promote digital health tools among the communities they serve. Transparency about the participation of community organizations in the process of app development would increase buy-in, trust, and usage of mobile health apps in communities where they are needed most.

OP348 Assessing The Potential Value Of Wearable Digital Health Technologies In Chronic Kidney Disease Using Early Health Technology Assessment Methods

2021 ◽  
Vol 37 (S1) ◽  
pp. 15-16
Author(s):  
Vijay S. Gc ◽  
Andrea Manca ◽  
Alexander J. Casson ◽  
Steven Antrobus ◽  
Cynthia Iglesias
Keyword(s):  
Blood Pressure ◽  
Chronic Kidney Disease ◽  
Digital Health ◽  
Qualitative Interviews ◽  
Cost Effective ◽  
Health Technology ◽  
Self Management ◽  
Health Technologies ◽  
Early Health Technology Assessment ◽  
Early Health

IntroductionWearable digital health technologies (WDHTs) offer several solutions in terms of disease monitoring, management and delivery of specific interventions. In chronic conditions, WDHTs can be used to support individuals’ self-management efforts, potentially improving adherence to (and outcomes resulting from) interventions. Early health technology assessment (HTA) methods can inform considerations about the potential clinical and economic benefits of technology in the initial phases of the product's lifecycle, facilitating identification of those Research & Development (R&D) investments with the greatest potential stakeholders’ payoff. We report our experience of using early HTA methods to support R&D decisions relating to novel WDHT being designed to support self-management of chronic kidney disease (CKD).MethodsWe performed a literature review, focus-group interviews with patients, and qualitative interviews with the prototype development team to understand the relevant characteristics of WDHTs, quantify relevant clinical indications and existing technological constraints. An early economic evaluation was used to identify the key drivers of value for money, and a discrete choice experiment shed light onto patient preferences towards what key features the WDHT should have for the users to adopt it. Then a model-based cost-effectiveness analysis was undertaken incorporating headroom analysis, return on investment, one-way sensitivity analysis and scenario analyses using data from secondary sources.ResultsThe review of the literature, focus groups with CKD patients, and qualitative interviews with technology developers helped to understand relevant characteristics of WDHT and user preferences helped inform the next R&D iteration. Compared to the standard care, WDHT that support stage ≥3 CKD patients self-management at home by measuring blood pressure and monitor mobility has the potential to be cost-effective at conventional cost-effectiveness threshold levels. From the headroom analysis, novel WDHT can be priced up to GBP280 (EUR315, USD360) and still be cost-effective compared to standard home blood pressure monitoring.ConclusionsOur study provides valuable information for the further development of the WDHT, such as defining a go/no-go decision, as well as providing a template for performing early HTA of Digital Health Interventions.

Six Digital Health Technologies That Will Transform Diabetes

2021 ◽  
pp. 193229682110434
Author(s):  
Alexander N. Klonoff ◽  
Wei-An (Andy) Lee ◽  
Nicole Y. Xu ◽  
Kevin T. Nguyen ◽  
Ashley DuBord ◽  
...  
Keyword(s):  
Diabetes Care ◽  
Digital Health ◽  
Health Technology ◽  
The United States ◽  
Digital Data ◽  
Sensor Data ◽  
Communication Tools ◽  
Health Technologies ◽  
The People ◽  
Key Questions

The digital health revolution is transforming the landscape of medicine through innovations in sensor data, software, and wireless communication tools. As one of the most prevalent chronic diseases in the United States, diabetes is particularly impactful as a model disease for which to apply innovation. As with any other newly developed technologies, there are three key questions to consider: 1) How can the technology benefit people with diabetes?, 2) What barriers must be overcome to further advance the technology?, and 3) How will the technology be applied in the future?. In this article, we highlight six areas of innovation that have the potential to reduce the burden of diabetes for individuals living with the condition and their families as well as provide measurable benefits for all stakeholders involved in diabetes care. The six technologies which have the potential to transform diabetes care are (i) telehealth, (ii) incorporation of diabetes digital data into the electronic health record, (iii) qualitative hypoglycemia alarms, (iv) artificial intelligence, (v) cybersecurity of diabetes devices, and (vi) diabetes registries. To be successful, a new digital health technology must be accessible and affordable. Furthermore, the people and communities that would most likely benefit from the technology must be willing to use the innovation in their management of diabetes.

scholarly journals Establishing a digital health platform in an academic medical center supporting rural communities

2020 ◽  
Vol 4 (5) ◽  
pp. 384-388
Author(s):  
Anita Walden ◽  
Aaron S. Kemp ◽  
Linda J. Larson-Prior ◽  
Thomas Kim ◽  
Jennifer Gan ◽  
...  
Keyword(s):  
Rural Communities ◽  
Mobile Health ◽  
Medical Center ◽  
Digital Health ◽  
Academic Medical Center ◽  
Healthcare Providers ◽  
Training Models ◽  
Health Technologies ◽  
Regional Conference ◽  
Patient Advocates

AbstractThe University of Arkansas for Medical Sciences (UAMS), like many rural states, faces clinical and research obstacles to which digital innovation is seen as a promising solution. To implement digital technology, a mobile health interest group was established to lay the foundation for an enterprise-wide digital health innovation platform. To create a foundation, an interprofessional team was established, and a series of formal networking events was conducted. Three online digital health training models were developed, and a full-day regional conference was held featuring nationally recognized speakers and panel discussions with clinicians, researchers, and patient advocates involved in digital health programs at UAMS. Finally, an institution-wide survey exploring the interest in and knowledge of digital health technologies was distributed. The networking events averaged 35–45 attendees. About 100 individuals attended the regional conference with positive feedback from participants. To evaluate mHealth knowledge at the institution, a survey was completed by 257 UAMS clinicians, researchers, and staff. It revealed that there are opportunities to increase training, communication, and collaboration for digital health implementation. The inclusion of the mobile health working group in the newly formed Institute for Digital Health and Innovation provides a nexus for healthcare providers and researches to facilitate translational research.

scholarly journals The Digital Health Revolution and People with Disabilities: Perspective from the United States

2020 ◽  
Vol 17 (2) ◽  
pp. 381 ◽  
Author(s):  
Mike Jones ◽  
Frank DeRuyter ◽  
John Morris
Keyword(s):  
United States ◽  
Mobile Health ◽  
Chronic Conditions ◽  
Digital Health ◽  
Wearable Sensors ◽  
Healthcare Delivery ◽  
People With Disabilities ◽  
The United States ◽  
Models Of Care ◽  
Health Technologies

This article serves as the introduction to this special issue on Mobile Health and Mobile Rehabilitation for People with Disabilities. Social, technological and policy trends are reviewed. Needs, opportunities and challenges for the emerging fields of mobile health (mHealth, aka eHealth) and mobile rehabilitation (mRehab) are discussed. Healthcare in the United States (U.S.) is at a critical juncture characterized by: (1) a growing need for healthcare and rehabilitation services; (2) maturing technological capabilities to support more effective and efficient health services; (3) evolving public policies designed, by turns, to contain cost and support new models of care; and (4) a growing need to ensure acceptance and usability of new health technologies by people with disabilities and chronic conditions, clinicians and health delivery systems. Discussion of demographic and population health data, healthcare service delivery and a public policy primarily focuses on the U.S. However, trends identified (aging populations, growing prevalence of chronic conditions and disability, labor shortages in healthcare) apply to most countries with advanced economies and others. Furthermore, technologies that enable mRehab (wearable sensors, in-home environmental monitors, cloud computing, artificial intelligence) transcend national boundaries. Remote and mobile healthcare delivery is needed and inevitable. Proactive engagement is critical to ensure acceptance and effectiveness for all stakeholders.

scholarly journals A new hope for early psychosis care: the evolving landscape of digital care tools

2019 ◽  
Vol 214 (5) ◽  
pp. 269-272 ◽  
Author(s):  
John Torous ◽  
Jessica Woodyatt ◽  
Matcheri Keshavan ◽  
Laura M. Tully
Keyword(s):  
Predictive Models ◽  
Global Mental Health ◽  
Digital Health ◽  
Treatment Options ◽  
Health Technology ◽  
Early Interventions ◽  
Clinical Heterogeneity ◽  
Health Technologies ◽  
Early Course ◽  
Advance Care

SummaryImproving understanding of and outcomes for early-course psychosis (ECP) is a recognised global mental health priority. We argue digital health technologies can advance care for ECP by better accounting for clinical heterogeneity, offering better predictive models, increasing access to early interventions and enhancing existing treatment options.Declaration of interestL.M.T. owns shares in Safari Health Inc – a digital health technology company.

scholarly journals A Survey Research on the Willingness of Gynecologists to Employ Mobile Health Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Malik Bader Alazzam ◽  
Ahmad Tawfig Al-Radaideh ◽  
Raed Ahmed Alhamarnah ◽  
Fawaz Alassery ◽  
Fahima Hajjej ◽  
...  
Keyword(s):  
Mobile Health ◽  
Private Information ◽  
Health Technology ◽  
Analytical Investigation ◽  
Medical Professionals ◽  
Mobile Health Technology ◽  
Health Technologies ◽  
Mobile Health Applications ◽  
Gynecological Care ◽  
Willingness To Use

In gynecological care, mHealth (mobile health) technology may play an important role. Medical professionals’ willingness to use this technology is the key to its acceptance. Most doctors utilize mobile health technology; however, there is still room for improvement in the use of mHealth. Gynecologists were asked to participate in this research to see how open they were to use mobile health technologies. In this descriptive-analytical investigation, the researchers determined the average scores for each variable. The overall mean for preparedness to embrace mobile medical technology is 1.8 out of 2, as shown in Table 1. When it came to their desire to embrace mobile health technology, doctors’ years of experience correlated negatively with their age. According to our findings, the amount of interest in mobile health technology is high. Patients’ private information must be protected throughout the usage of this technology though. Mobile health technology may effectively reach patients in remote areas, but it is not a substitute for face-to-face encounters with medical professionals.

scholarly journals Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program (Preprint)

2018 ◽  
Author(s):  
Camilla Somers ◽  
Eleanor Grieve ◽  
Marilyn Lennon ◽  
Matt-Mouley Bouamrane ◽  
Frances S Mair ◽  
...  
Keyword(s):  
Contingent Valuation ◽  
Mobile Health ◽  
Health Program ◽  
Digital Health ◽  
Well Being ◽  
Long Term Conditions ◽  
Contingent Valuation Study ◽  
Health Technologies ◽  
Health Apps ◽  
Representative Cohort

BACKGROUND Changing population demographics and technology developments have resulted in growing interest in the potential of consumer-facing digital health. In the United Kingdom, a £37 million (US $49 million) national digital health program delivering assisted living lifestyles at scale (dallas) aimed to deploy such technologies at scale. However, little is known about how consumers value such digital health opportunities. OBJECTIVE This study explored consumers’ perspectives on the potential value of digital health technologies, particularly mobile health (mHealth), to promote well-being by examining their willingness-to-pay (WTP) for such health solutions. METHODS A contingent valuation study involving a UK-wide survey that asked participants to report open-ended absolute and marginal WTP or willingness-to-accept for the gain or loss of a hypothetical mHealth app, Healthy Connections. RESULTS A UK-representative cohort (n=1697) and a dallas-like (representative of dallas intervention communities) cohort (n=305) were surveyed. Positive absolute and marginal WTP valuations of the app were identified across both cohorts (absolute WTP: UK-representative cohort £196 or US $258 and dallas-like cohort £162 or US $214; marginal WTP: UK-representative cohort £160 or US $211 and dallas-like cohort £151 or US $199). Among both cohorts, there was a high prevalence of zeros for both the absolute WTP (UK-representative cohort: 467/1697, 27.52% and dallas-like cohort: 95/305, 31.15%) and marginal WTP (UK-representative cohort: 487/1697, 28.70% and dallas-like cohort: 99/305, 32.5%). In both cohorts, better general health, previous amount spent on health apps (UK-representative cohort 0.64, 95% CI 0.27 to 1.01; dallas-like cohort: 1.27, 95% CI 0.32 to 2.23), and age had a significant (P>.00) association with WTP (UK-representative cohort: −0.1, 95% CI −0.02 to −0.01; dallas-like cohort: −0.02, 95% CI −0.03 to −0.01), with younger participants willing to pay more for the app. In the UK-representative cohort, as expected, higher WTP was positively associated with income up to £30,000 or US $39,642 (0.21, 95% CI 0.14 to 0.4) and increased spending on existing phone and internet services (0.52, 95% CI 0.30 to 0.74). The amount spent on existing health apps was shown to be a positive indicator of WTP across cohorts, although the effect was marginal (UK-representative cohort 0.01, 95% CI 0.01 to 0.01; dallas-like cohort 0.01, 95% CI 0.01 to 0.02). CONCLUSIONS This study demonstrates that consumers value mHealth solutions that promote well-being, social connectivity, and health care control, but it is not universally embraced. For mHealth to achieve its potential, apps need to be tailored to user accessibility and health needs, and more understanding of what hinders frequent users of digital technologies and those with long-term conditions is required. This novel application of WTP in a digital health context demonstrates an economic argument for investing in upskilling the population to promote access and expedite uptake and utilization of such digital health and well-being apps.

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