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1.
J Med Internet Res ; 23(6): e24947, 2021 06 09.
Article in English | MEDLINE | ID: mdl-34106076

ABSTRACT

BACKGROUND: Telehealth is an increasingly important component of health care delivery in response to the COVID-19 pandemic. However, well-documented disparities persist in the use of digital technologies. OBJECTIVE: This study aims to describe smartphone and internet use within a diverse sample, to assess the association of smartphone and internet use with markers of health literacy and health access, and to identify the mediating factors in these relationships. METHODS: Surveys were distributed to a targeted sample designed to oversample historically underserved communities from April 2017 to December 2017. Multivariate logistic regression was used to estimate the association of internet and smartphone use with outcomes describing health care access and markers of health literacy for the total cohort and after stratifying by personal history of cancer. Health care access was captured using multiple variables, including the ability to obtain medical care when needed. Markers of health literacy included self-reported confidence in obtaining health information. RESULTS: Of the 2149 participants, 1319 (61.38%) were women, 655 (30.48%) were non-Hispanic White, and 666 (30.99%) were non-Hispanic Black. The median age was 51 years (IQR 38-65). Most respondents reported using the internet (1921/2149, 89.39%) and owning a smartphone (1800/2149, 83.76%). Compared with the respondents with smartphone or internet access, those without smartphone or internet access were more likely to report that a doctor was their most recent source of health information (344/1800, 19.11% vs 116/349, 33.2% for smartphone and 380/1921, 19.78% vs 80/228, 35.1% for internet, respectively; both P<.001). Internet use was associated with having looked for information on health topics from any source (odds ratio [OR] 3.81, 95% CI 2.53-5.75) and confidence in obtaining health information when needed (OR 1.83, 95% CI 1.00-3.34) compared with noninternet users. Smartphone owners had lower odds of being unable to obtain needed medical care (OR 0.62, 95% CI 0.40-0.95) than nonsmartphone owners. Among participants with a prior history of cancer, smartphone ownership was significantly associated with higher odds of confidence in ability to obtain needed health information (OR 5.63, 95% CI 1.05-30.23) and lower odds of inability to obtain needed medical care (OR 0.17, 95% CI 0.06-0.47), although these associations were not significant among participants without a prior history of cancer. CONCLUSIONS: We describe widespread use of digital technologies in a community-based cohort, although disparities persist. In this cohort, smartphone ownership was significantly associated with ability to obtain needed medical care, suggesting that the use of smartphone technology may play a role in increasing health care access. Similarly, major illnesses such as cancer have the potential to amplify health engagement. Finally, special emphasis must be placed on reaching patient populations with limited digital access, so these patients are not further disadvantaged in the new age of telehealth.


Subject(s)
Health Literacy/statistics & numerical data , Health Services Accessibility , Internet Use/statistics & numerical data , Neoplasms/prevention & control , Ownership , Smartphone/statistics & numerical data , Surveys and Questionnaires , Telemedicine/statistics & numerical data , Adult , Aged , Cohort Studies , Cross-Sectional Studies , Female , Humans , Internet , Male , Middle Aged , Self Report , Smartphone/supply & distribution , Vulnerable Populations
4.
Diabetes Metab Syndr ; 14(5): 733-737, 2020.
Article in English | MEDLINE | ID: mdl-32497963

ABSTRACT

BACKGROUND: With restrictions on face to face clinical consultations in the COVID-19 pandemic and the challenges faced by health care systems in delivering patient care, alternative information technologies like telemedicine and smartphone are playing a key role. AIMS: We assess the role and applications of smartphone technology as an extension of telemedicine in provide continuity of care to our patients and surveillance during the current COVID-19 pandemic. METHODS: We have done a comprehensive review of the literature using suitable keywords on the search engines of PubMed, SCOPUS, Google Scholar and Research Gate in the first week of May 2020. RESULTS: Through the published literature on this topic, we discuss role, common applications and its support in extended role of telemedicine technology in several aspects of current COVID-19 pandemic. CONCLUSION: Smartphone technology on its own and as extension of telemedicine has significant applications in the current COVID-19 pandemic. As the smartphone technology further evolves with fifth generation cellular network expansion, it is going to play a key role in future of health medicine, patient referral, consultation, ergonomics and many other extended applications of health care.


Subject(s)
Coronavirus Infections/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Smartphone , Telemedicine/methods , Betacoronavirus/physiology , COVID-19 , Delivery of Health Care/methods , Delivery of Health Care/organization & administration , Delivery of Health Care/trends , Humans , Inventions/trends , SARS-CoV-2 , Smartphone/statistics & numerical data , Smartphone/supply & distribution , Smartphone/trends , Telemedicine/organization & administration , Telemedicine/standards , Telemedicine/trends
7.
PLoS One ; 10(7): e0132844, 2015.
Article in English | MEDLINE | ID: mdl-26186227

ABSTRACT

Previous researches for understanding supply chain relationship have mostly focused on its vertical collaboration between buyers and suppliers. However, there have been some instances of volatile and stable collaborative relationships amongst competitors such as Apple-Samsung product manufacturer-component supplier relationship and airline alliances, respectively, which is recognized as coopetition. Even though there have been several qualitative studies and a number of game theory models on coopetition, it is rare to find any attempts on quantitative characterization of such coopetitive dynamic behavior in supply chain relationship. Hence, in this work, we formulated a MINLP model mathematically representing coopetitive relationships in a cost efficient supply chain network. In particular, the coopetition factor was newly introduced to measure the degree of coopetition among supply chain players and determine the optimal level of coopetition to engage in. The utility and practicality of the model were strongly demonstrated using a case study of a hypothetical smartphone supply chain network under different scenarios, thus proposing their strategically viable optimal interactions. Therefore, this exploratory study can herald a new era of global coopetitive business.


Subject(s)
Commerce , Competitive Behavior , Cooperative Behavior , Smartphone/economics , Smartphone/supply & distribution , Computer Simulation , Costs and Cost Analysis , Feasibility Studies , Models, Economic
8.
Telemed J E Health ; 21(2): 115-9, 2015 Feb.
Article in English | MEDLINE | ID: mdl-24926731

ABSTRACT

BACKGROUND: We investigated the use of third-generation (3G) mobile communications to provide telehealth services in remote health clinics in rural KwaZulu-Natal, South Africa. MATERIALS AND METHODS: We specified a minimal set of services as our use case that would be representative of typical activity and to provide a baseline for analysis of network performance. Services included database access to manage chronic disease, local support and management of patients (to reduce unnecessary travel to the hospital), emergency care (up to 8 h for an ambulance to arrive), e-mail, access to up-to-date information (Web), and teleclinics. We made site measurements at a representative set of health clinics to determine the type of coverage (general packet radio service [GPRS]/3G), its capabilities to support videoconferencing (H323 and Skype™ [Microsoft, Redmond, WA]) and audio (Skype), and throughput for transmission control protocol (TCP) to gain a measure of application performance. RESULTS: We found that none of the remote health clinics had 3G service. The GPRS service provided typical upload speed of 44 kilobits per second (Kbps) and download speed of 64 Kbps. This was not sufficient to support any form of videoconferencing. We also observed that GPRS had significant round trip time (RTT), in some cases in excess of 750 ms, and this led to slow start-up for TCP applications. CONCLUSIONS: We found audio was always so broken as to be unusable and further observed that many applications such as Web access would fail under conditions of very high RTT. We found some health clinics were so remote that they had no mobile service. 3G, where available, had measured upload speed of 331 Kbps and download speed of 446 Kbps and supported videoconferencing and audio at all sites, but we frequently experienced 3G changing to GPRS. We conclude that mobile communications currently provide insufficient coverage and capability to provide reliable clinical services and would advocate dedicated wireless services where reliable communication is essential and use of store and forward for mobile applications.


Subject(s)
Health Services Accessibility/standards , Mobile Applications/supply & distribution , Rural Health Services/supply & distribution , Telemedicine/methods , Feasibility Studies , Health Services Accessibility/economics , Humans , Mobile Applications/economics , Mobile Applications/standards , Organizational Case Studies , Rural Health Services/economics , Rural Health Services/organization & administration , Smartphone/economics , Smartphone/instrumentation , Smartphone/supply & distribution , South Africa , Telecommunications/economics , Telecommunications/instrumentation , Telecommunications/supply & distribution , Telemedicine/economics , Telemedicine/instrumentation
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