Journal articles on the topic 'EHealth technologies'
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Chang, Angela, and Peter Schulz. "The Measurements and an Elaborated Understanding of Chinese eHealth Literacy (C-eHEALS) in Chronic Patients in China." International Journal of Environmental Research and Public Health 15, no. 7 (July 23, 2018): 1553. http://dx.doi.org/10.3390/ijerph15071553.
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The rapid rise of Internet-based technologies to disseminate health information and services has been shown to enhance online health information acquisition. A Chinese version of the electronic health literacy scale (C-eHEALS) was developed to measure patients’ combined knowledge and perceived skills at finding and applying electronic health information to health problems. A valid sample of 352 interviewees responded to the online questionnaire, and their responses were analyzed. The C-eHEALS, by showing high internal consistency and predictive validity, is an effective screening tool for detecting levels of health literacy in clinical settings. Individuals’ sociodemographic status, perceived health status, and level of health literacy were identified for describing technology users’ characteristics. A strong association between eHealth literacy level, media information use, and computer literacy was found. The emphasis of face-to-face inquiry for obtaining health information was important in the low eHealth literacy group while Internet-based technologies crucially affected decision-making skills in the high eHealth literacy group. This information is timely because it implies that health care providers can use the C-eHEALS to screen eHealth literacy skills and empower patients with chronic diseases with online resources.
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Kesse-Tachi, Agyenna, Alexander Ekow Asmah, and Ebenezer Agbozo. "Factors influencing adoption of eHealth technologies in Ghana." DIGITAL HEALTH 5 (January 2019): 205520761987142. http://dx.doi.org/10.1177/2055207619871425.
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This study covers factors influencing the adoption of electronic health (eHealth) technologies in Ghana. The study was designed as a quantitative survey with questionnaire as the main method of data gathering. A total of 1640 questionnaires were administered to users and potential users of eHealth technologies in both public and private healthcare centres in Ghana. The study concludes that institutional characteristics and healthcare manager characteristics have a high influence on eHealth adoption. However, factors related to performance expectancy and effort expectancy only have low influence on the adoption of eHealth devices and systems. Accordingly, the study makes recommendations to policymakers for improving eHealth adoption in the health sector.
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Crutzen, Rik. "From eHealth Technologies to Interventions." Journal of Medical Internet Research 14, no. 3 (June 27, 2012): e93. http://dx.doi.org/10.2196/jmir.2050.
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Singh, Gurkaran, Laura Nimmon, Bonita Sawatzky, and W. Ben Mortenson. "Barriers and Facilitators to eHealth Technology Use Among Community-Dwelling Individuals With Spinal Cord Injury: A Qualitative Study." Topics in Spinal Cord Injury Rehabilitation 28, no. 2 (February 2, 2022): 196–204. http://dx.doi.org/10.46292/sci21-00016.
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Background As eHealth technologies become a more prevalent means to access care and self-manage health, it is important to identify the unique facilitators and barriers to their use. Few studies have evaluated the use or potential use of eHealth technologies in spinal cord injury (SCI) populations. Objectives The primary objective of this study was to explore and identify barriers and facilitators to engagement with eHealth technologies among individuals with SCI. Methods A qualitative descriptive study was conducted. Data were collected via one-on-one, semi-structured interviews with a subsample of 20 community-dwelling participants enrolled in a larger clinical trial. Analysis of the transcripts was undertaken using a four-phase process of content analysis. Results Our analysis identified three barriers to engagement with eHealth technologies, including (1) overcoming a digital divide to comprehending and utilizing eHealth technologies, (2) navigating internet resources that provide too much information, and (3) interacting with these technologies despite having limited hand function. Our analysis also identified three facilitators to using eHealth technologies, including (1) having previous successful experiences with eHealth technologies, (2) being able to use voice activation features, and (3) being able to interact in an online community network. Conclusion By exploring barriers and facilitators to eHealth technology use, these findings may have a short-term impact on informing researchers and clinicians on important factors affecting engagement of individuals with SCI with telemedicine, mobile, and web applications (apps) and a long-term impact on informing future development of eHealth interventions and tools among chronic disease populations.
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Lee, Jiyeon, Eun-Hyun Lee, and Duckhee Chae. "eHealth Literacy Instruments: Systematic Review of Measurement Properties." Journal of Medical Internet Research 23, no. 11 (November 15, 2021): e30644. http://dx.doi.org/10.2196/30644.
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Background The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. Objective This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. Methods We conducted a systematic review and meta-analysis of self-reported eHealth literacy instruments by applying the updated COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology. Results This study included 7 instruments from 41 articles describing 57 psychometric studies, as identified in 4 databases (PubMed, CINAHL, Embase, and PsycInfo). No eHealth literacy instrument provided evidence for all measurement properties. The eHealth literacy scale (eHEALS) was originally developed with a single-factor structure under the definition of eHealth literacy before the rise of social media and the mobile web. That instrument was evaluated in 18 different languages and 26 countries, involving diverse populations. However, various other factor structures were exhibited: 7 types of two-factor structures, 3 types of three-factor structures, and 1 bifactor structure. The transactional eHealth literacy instrument (TeHLI) was developed to reflect the broader concept of eHealth literacy and was demonstrated to have a sufficient low-quality and very low-quality evidence for content validity (relevance, comprehensiveness, and comprehensibility) and sufficient high-quality evidence for structural validity and internal consistency; however, that instrument has rarely been evaluated. Conclusions The eHealth literacy scale was the most frequently investigated instrument. However, it is strongly recommended that the instrument's content be updated to reflect recent advancements in digital health technologies. In addition, the transactional eHealth literacy instrument needs improvements in content validity and further psychometric studies to increase the credibility of its synthesized evidence.
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Lee, Jiyeon, Eun-Hyun Lee, and Duckhee Chae. "eHealth Literacy Instruments: Systematic Review of Measurement Properties." Journal of Medical Internet Research 23, no. 11 (November 15, 2021): e30644. http://dx.doi.org/10.2196/30644.
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Background The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies. Objective This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument. Methods We conducted a systematic review and meta-analysis of self-reported eHealth literacy instruments by applying the updated COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology. Results This study included 7 instruments from 41 articles describing 57 psychometric studies, as identified in 4 databases (PubMed, CINAHL, Embase, and PsycInfo). No eHealth literacy instrument provided evidence for all measurement properties. The eHealth literacy scale (eHEALS) was originally developed with a single-factor structure under the definition of eHealth literacy before the rise of social media and the mobile web. That instrument was evaluated in 18 different languages and 26 countries, involving diverse populations. However, various other factor structures were exhibited: 7 types of two-factor structures, 3 types of three-factor structures, and 1 bifactor structure. The transactional eHealth literacy instrument (TeHLI) was developed to reflect the broader concept of eHealth literacy and was demonstrated to have a sufficient low-quality and very low-quality evidence for content validity (relevance, comprehensiveness, and comprehensibility) and sufficient high-quality evidence for structural validity and internal consistency; however, that instrument has rarely been evaluated. Conclusions The eHealth literacy scale was the most frequently investigated instrument. However, it is strongly recommended that the instrument's content be updated to reflect recent advancements in digital health technologies. In addition, the transactional eHealth literacy instrument needs improvements in content validity and further psychometric studies to increase the credibility of its synthesized evidence.
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Ladan, Muhammad Awwal, Heather Wharrad, and Richard Windle. "eHealth adoption and use among healthcare professionals in a tertiary hospital in Sub-Saharan Africa: a Qmethodology study." PeerJ 7 (April 19, 2019): e6326. http://dx.doi.org/10.7717/peerj.6326.
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Background The aim of the study was to explore the viewpoints of healthcare professionals (HCPs) on the adoption and use of eHealth in clinical practice in sub-Saharan Africa (SSA). Information and communication technologies (ICTs) including eHealth provide HCPs the opportunity to provide quality healthcare to their patients while also improving their own clinical practices. Despite this, previous research has identified these technologies have their associated challenges when adopting them for clinical practice. But more research is needed to identify how these eHealth resources influence clinical practice. In addition, there is still little information about adoption and use of these technologies by HCPs inclinical practice in Sub-Saharan Africa. Method An exploratory descriptive design was adopted for this study. Thirty-six (36) HCPs (18 nurses and 18 physicians) working in the clinical area in a tertiary health institution in SSA participated in this study. Using Qmethodology, study participants rank-ordered forty-six statementsin relation to their adoption and use of eHealth within their clinical practice.This was analysed using by-person factor analysis and complemented with audio-taped interviews. Results The analysis yielded four factors i.e., distinct viewpoints the HCPs hold about adoption and use of eHealth within their clinical practice. These factors include: “Patient-focused eHealth advocates” who use the eHealth because they are motivated by patients and their families preferences; “Task-focused eHealth advocates” use eHealth because it helps them complete clinical tasks; “Traditionalistic-pragmatists” recognise contributions eHealth makes in clinical practice but separate from their routine clinical activities; and the “Tech-focused eHealth advocates” who use the eHealth because they are motivated by the technology itself. Conclusion The study shows the equivocal viewpoints that HCPs have about eHealth within their clinical practice. This, in addition to adding to existing literature, will help policymakers/decision makers to consider HCPs views about these technologies prior to implementing an eHealth resource.
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Swanepoel, De Wet. "eHealth Technologies Enable more Accessible Hearing Care." Seminars in Hearing 41, no. 02 (April 7, 2020): 133–40. http://dx.doi.org/10.1055/s-0040-1708510.
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AbstractHearing loss is a pervasive global health care burden affecting up to one in every seven persons of whom 90% reside in low- and middle-income countries. Traditional service-delivery models are unable to support and promote accessible and affordable hearing care in these setting. Major barriers include a severe shortage of hearing health care professionals, costs associated with equipment, facilities and treatments, and centralized service-delivery models. Convergence of digital and connectivity revolutions are combining to enable new ways of delivering decentralized audiological services along the entire patient journey using integrated eHealth solutions. eHealth technologies are allowing nonprofessionals in communities (e.g., community health workers) to provide hearing services with point-of-care devices at reduced cost with remote surveillance and support by professionals. A growing body of recent evidence showcases community-based hearing care within an integrated eHealth framework that addresses some of the barriers of traditional service-delivery models at reduced cost. Future research, especially in low- and middle-income countries, must explore eHealth-supported hearing care services from detection through to treatment.
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Wannheden, Carolina, Ulrica von Thiele Schwarz, Claes-Göran Östenson, Karin Pukk Härenstam, and Terese Stenfors. "What’s the Name of the Game? The Impact of eHealth on Productive Interactions in Chronic Care Management." Sustainability 13, no. 9 (May 7, 2021): 5221. http://dx.doi.org/10.3390/su13095221.
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Chronic care management is dependent on productive interactions between patients and healthcare professionals. Digital health technologies (eHealth) open up new possibilities for improving the quality of care, but there is a limited understanding of what productive interactions entail. This study explores characteristics of productive interactions to support self-care and healthcare in the context of eHealth use in diabetes care. We collected qualitative data based on interviews with nurses and responses to open-ended survey questions from patients, prior to and post using an eHealth service for self-monitoring and digital communication. We found that eHealth’s influence on productive interactions was characterized by unconstrained access, health parameter surveillance, and data-driven feedback, with implications for self-care and healthcare. Our findings indicate that eHealth perforates the boundaries that define interactions under traditional, non-digital care. This was manifested in expressions of uncertainty and in blurred boundaries between self-care and healthcare. We conclude that the attainment of a sustainable eHealth ecosystem will require healthcare to acknowledge eHealth as a disruptive change that may require re-organization to optimally support the productive use of eHealth services for both patients and staff, which includes agreement on new routines, as well as social interaction rules.
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KC, Ashish, Avinash K. Sunny, Rajendra Prasad Poudel, and Omkar Basnet. "A Review of eHealth Initiatives: Implications for Improving Health Service Delivery in Nepal." Journal of Nepal Health Research Council 17, no. 3 (November 13, 2019): 269–77. http://dx.doi.org/10.33314/jnhrc.v17i3.1787.
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The aim of this paper is to take stock of the use of information and communication technologies in delivering health services in Nepal and identify bottlenecks in implementation for improving delivery of health services. A descriptive review was conducted from May to September 2016. Data were collected from organizations working on the different thematic areas in health where information and communication technologies was used. Fifteen ongoing eHealth projects were identified in the areas of monitoring and surveillance, electronic health records/electronic medical records, health information system, and telemedicine. Common challenges were addressed, including a lack of funding, infrastructure, electricity and network, and national capacity. Most eHealth projects were not integrated into the national system. Working at a national level to address the challenges, centralizing eHealth projects and developing national policies would ensure to adopt eHealth at a right place and to accelerate eHealth initiatives.Keywords: eHealth; health service delivery;information and communication technologies (ICT); Nepal.
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Madanian, Samaneh, Tony Norris, and Dave Parry. "Disaster eHealth: Scoping Review." Journal of Medical Internet Research 22, no. 10 (October 28, 2020): e18310. http://dx.doi.org/10.2196/18310.
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Background Although both disaster management and disaster medicine have been used for decades, their efficiency and effectiveness have been far from perfect. One reason could be the lack of systematic utilization of modern technologies, such as eHealth, in their operations. To address this issue, researchers’ efforts have led to the emergence of the disaster eHealth (DEH) field. DEH’s main objective is to systematically integrate eHealth technologies for health care purposes within the disaster management cycle (DMC). Objective This study aims to identify, map, and define the scope of DEH as a new area of research at the intersection of disaster management, emergency medicine, and eHealth. Methods An extensive scoping review using published materials was carried out in the areas of disaster management, disaster medicine, and eHealth to identify the scope of DEH. This review procedure was iterative and conducted in multiple scientific databases in 2 rounds, one using controlled indexed terms and the other using similar uncontrolled terms. In both rounds, the publications ranged from 1990 to 2016, and all the appropriate research studies discovered were considered, regardless of their research design, methodology, and quality. Information extracted from both rounds was thematically analyzed to define the DEH scope, and the results were evaluated by the field experts through a Delphi method. Results In both rounds of the research, searching for eHealth applications within DMC yielded 404 relevant studies that showed eHealth applications in different disaster types and disaster phases. These applications varied with respect to the eHealth technology types, functions, services, and stakeholders. The results led to the identification of the scope of DEH, including eHealth technologies and their applications, services, and future developments that are applicable to disasters as well as to related stakeholders. Reference to the elements of the DEH scope indicates what, when, and how current eHealth technologies can be used in the DMC. Conclusions Comprehensive data gathering from multiple databases offered a grounded method to define the DEH scope. This scope comprises concepts related to DEH and the boundaries that define it. The scope identifies the eHealth technologies relevant to DEH and the functions and services that can be provided by these technologies. In addition, the scope tells us which groups can use the provided services and functions and in which disaster types or phases. DEH approaches could potentially improve the response to health care demands before, during, and after disasters. DEH takes advantage of eHealth technologies to facilitate DMC tasks and activities, enhance their efficiency and effectiveness, and enhance health care delivery and provide more quality health care services to the wider population regardless of their geographical location or even disaster types and phases.
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De Santis, Karina Karolina, Tina Jahnel, Elida Sina, Julian Wienert, and Hajo Zeeb. "Digitization and Health in Germany: Cross-sectional Nationwide Survey." JMIR Public Health and Surveillance 7, no. 11 (November 22, 2021): e32951. http://dx.doi.org/10.2196/32951.
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Background Digital technologies are shaping medicine and public health. Objective The aim of this study was to investigate the attitudes toward and the use of digital technologies for health-related purposes using a nationwide survey. Methods We performed a cross-sectional study using a panel sample of internet users selected from the general population living in Germany. Responses to a survey with 28 items were collected using computer-assisted telephone interviews conducted in October 2020. The items were divided into four topics: (1) general attitudes toward digitization, (2) COVID-19 pandemic, (3) physical activity, and (4) perceived digital health (eHealth) literacy measured with the eHealth Literacy Scale (eHEALS; sum score of 8=lowest to 40=highest perceived eHealth literacy). The data were analyzed in IBM-SPSS24 using relative frequencies. Three univariate multiple regression analyses (linear or binary logistic) were performed to investigate the associations among the sociodemographic factors (age, gender, education, and household income) and digital technology use. Results The participants included 1014 internet users (n=528, 52.07% women) aged 14 to 93 years (mean 54, SD 17). Among all participants, 66.47% (674/1014) completed up to tertiary (primary and secondary) education and 45.07% (457/1017) reported a household income of up to 3500 Euro/month (1 Euro=US $1.18). Over half (579/1014, 57.10%) reported having used digital technologies for health-related purposes. The majority (898/1014, 88.56%) noted that digitization will be important for therapy and health care, in the future. Only 25.64% (260/1014) reported interest in smartphone apps for health promotion/prevention and 42.70% (433/1014) downloaded the COVID-19 contact-tracing app. Although 52.47% (532/1014) reported that they come across inaccurate digital information on the COVID-19 pandemic, 78.01% (791/1014) were confident in their ability to recognize such inaccurate information. Among those who use digital technologies for moderate physical activity (n=220), 187 (85.0%) found such technologies easy to use and 140 (63.6%) reported using them regularly (at least once a week). Although the perceived eHealth literacy was high (eHEALS mean score 31 points, SD 6), less than half (43.10%, 400/928) were confident in using digital information for health decisions. The use of digital technologies for health was associated with higher household income (odds ratio [OR] 1.28, 95% CI 1.11-1.47). The use of digital technologies for physical activity was associated with younger age (OR 0.95, 95% CI 0.94-0.96) and more education (OR 1.22, 95% CI 1.01-1.46). A higher perceived eHealth literacy score was associated with younger age (β=–.22, P<.001), higher household income (β=.21, P<.001), and more education (β=.14, P<.001). Conclusions Internet users in Germany expect that digitization will affect preventive and therapeutic health care in the future. The facilitators and barriers associated with the use of digital technologies for health warrant further research. A gap exists between high confidence in the perceived ability to evaluate digital information and low trust in internet-based information on the COVID-19 pandemic and health decisions.
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Eden, Rebekah, Andrew Burton-Jones, Ian Scott, Andrew Staib, and Clair Sullivan. "Effects of eHealth on hospital practice: synthesis of the current literature." Australian Health Review 42, no. 5 (2018): 568. http://dx.doi.org/10.1071/ah17255.
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Objective The transition to digital hospitals is fast-moving. Although US hospitals are further ahead than some others in implementing eHealth technologies, their early experiences are not necessarily generalisable to contemporary healthcare because both the systems and technologies have been rapidly evolving. It is important to provide up-to-date assessments of the evidence available. The aim of this paper is to provide an assessment of the current literature on the effects to be expected from hospital implementations of eHealth technologies. Methods A narrative review was conducted of systematic reviews investigating the effects of eHealth technologies (clinical decision support systems (CDSS), computerised provider order entry (CPOE), ePrescribing, electronic medical records (EMRs)) published between November 2015 and August 2017 and compared the findings with those of a previous narrative review that examined studies published between January 2010 and October 2015. The same search strategy and selection criteria were used in both studies. Results Of the seven relevant articles, three (42.9%) examined the effects of more than one eHealth system: only two (28.6%) studies were high quality, three (42.9%) were of intermediate quality and two (28.6%) were of low quality. We identified that EMRs are largely associated with conflicting findings. Previous reviews suggested that CPOE are associated with significant positive results of cost savings, organisational efficiency gains, less resource utilisation and improved individual performance. However, these effects were not investigated in the more recent reviews, and only mixed findings for communication between clinicians were reported. Similarly, for ePrescribing, later reviews reported limited evidence of benefits, although when coupled with CDSS, more consistent positive findings were reported. Conclusion This overview can help inform other hospitals in Australia and elsewhere of the likely effects resulting from eHealth technologies. The findings suggest that the effects of these systems are largely mixed, but there are positive findings, which encourage ongoing digital transformation of hospital practice. What is known about the topic? Governments are increasingly devoting substantial resources towards implementing eHealth technologies in hospital practice with the goals of improving clinical and financial outcomes. Yet, these outcomes are yet to be fully realised in practice and conflicting findings are often reported in the literature. What does this paper add? This paper extends a previous narrative review of systematic reviews and categorises the effects of eHealth technologies into a typology of outcomes to enable overall findings to be reported and comparisons to be made. In doings so, we synthesise 7 years of eHealth effects. Mixed results are largely reported for EMRs, with many benefits being compromised by practices stemming from resistance to EMRs. Limited evidence of effectiveness exists for CPOE and ePrescribing. CDSS are associated with the most consistent positive findings for clinician- and hospital-level effects. We observed renewed interest in the literature for the effect of eHealth technologies on communication both between clinicians and with patients. Other new insights have emerged relating to effects on clinical judgement, changing practice and staff retention. What are the implications for practitioners? eHealth technologies have the potential to positively affect clinical and financial outcomes. However, these benefits are not guaranteed, and mixed results are often reported. This highlights the need for hospitals and decision makers to clearly identify and act on the drivers of successful implementations if eHealth technologies are to facilitate the creation of new, more effective models of patient care in an increasingly complex healthcare environment.
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Vis, Christiaan, Leah Bührmann, Heleen Riper, and Hans C. Ossebaard. "Health technology assessment frameworks for eHealth: A systematic review." International Journal of Technology Assessment in Health Care 36, no. 3 (April 16, 2020): 204–16. http://dx.doi.org/10.1017/s026646232000015x.
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ObjectivesTraditionally, health technology assessment (HTA) focuses on assessing the impact of pharmaceutical technologies on health and care. Resources are scarce and policy makers aim to achieve effective, accessible health care. eHealth innovations are increasingly more integrated in all healthcare domains. However, how eHealth is assessed prior to its implementation in care practices is unclear. To support evidence-informed policy making, this study aimed to identify frameworks and methods for assessing eHealth's impact on health care.MethodsThe scientific literature in five bibliographical databases was systematically reviewed. Articles were included if the study was conducted in a clinical setting, used an HTA framework and assessed an eHealth service. A systematic qualitative narrative approach was applied for analysis and reporting.ResultsTwenty-one HTA frameworks were identified in twenty-three articles. All frameworks addressed outcomes related to the technical performance and functionalities of eHealth service under assessment. The majority also addressed costs (n = 19), clinical outcomes (n = 14), organizational (n = 15) and system level aspects (n = 13). Most frameworks can be classified as dimensional (n = 13), followed by staged (n = 3), hybrid (n = 3), and business modeling frameworks (n = 2). Six frameworks specified assessment outcomes and methods.ConclusionsHTA frameworks are available for a-priori impact assessment of eHealth services. The frameworks vary in assessment outcomes, methods, and specificity. Demonstrated applicability in practice is limited. Recommendations include standardization of: (i) reporting characteristics of eHealth services, and (ii) specifying assessment outcomes and methods following a stepped-approach tailored to the functional characteristics of eHealth services. Standardization might improve the quality and comparability of eHTA assessments.
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Marques, Bruno, Jacqueline McIntosh, Alvin Valera, and Anuroop Gaddam. "Innovative and Assistive eHealth Technologies for Smart Therapeutic and Rehabilitation Outdoor Spaces for the Elderly Demographic." Multimodal Technologies and Interaction 4, no. 4 (October 22, 2020): 76. http://dx.doi.org/10.3390/mti4040076.
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The use of technology for social connectivity and achieving engagement goals is increasingly essential to the overall well-being of our rapidly ageing population. While much of the extant literature has focused on home automation and indoor remote health monitoring; there is a growing literature that finds personal health and overall well-being improves when physical activities are conducted outdoors. This study presents a review of possible innovative and assistive eHealth technologies suitable for smart therapeutic and rehabilitation outdoor spaces for older persons. The article also presents key performance metrics required of eHealth technologies to ensure robust, timely and reliable biometric data transfer between patients in a therapeutic landscape environment and respective medical centres. A literature review of relevant publications with a primary focus of integrating sensors and eHealth technologies in outdoor spaces to collect and transfer data from the elderly demographic who engage such built landscapes to appropriate stakeholders was conducted. A content analysis was carried out to synthesize outcomes of the literature review. The study finds that research in assistive eHealth technologies and interfaces for outdoor therapeutic spaces is in its nascent stages and has limited generalisability. The level of technology uptake and readiness for smart outdoor spaces is still developing and is currently being outpaced by the growth of elderly fitness zones in public spaces. Further research is needed to explore those eHealth technologies with interactive feedback mechanisms that are suitable for outdoor therapeutic environments.
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Semutenko, K. M., and T. M. Sharshakova. "Advantages and disadvantages of the use of eHealth technologies during the COVID-19 pandemic." Health and Ecology Issues, no. 2 (June 28, 2020): 103–6. http://dx.doi.org/10.51523/2708-6011.2020-17-2-15.
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Objective: to evaluate the experience and possibilities of the use of eHealth technologies during the pandemic.Material and methods. A systematic review of literature containing information about the use of telemedicine, crowdsourcing monitoring and other eHealth resources during the COVID-19 pandemic was performed. Results. The main advantages and disadvantages of the use of eHealth technologies have been highlighted, the main problems arising on the way of their implementation have been identified and options for their solution have been proposed.Conclusion. In developed countries the COVID-19 pandemic has already accelerated the implementation of eHealth as a tool to combat the pandemic. But despite this, new laws and regulations governing liability in the field of remote treatment are needed, as well as guidelines regarding the use of crowdsourcing disease monitoring systems in addition to traditional epidemiological surveillance systems.
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Pandya, Apurvakumar, Devang Raval, Priya Kotwani, and Somen Saha. "OP145 Review Of eHealth Interventions For Improving Primary Healthcare In Low-Middle Income Countries." International Journal of Technology Assessment in Health Care 36, S1 (December 2020): 2. http://dx.doi.org/10.1017/s0266462320000914.
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IntroductionWeb-based and mobile health interventions, also called eHealth, have significant potential to deliver cost effective, quality health care. The present review maps common eHealth technology solutions for primary healthcare by evaluating their safety, efficacy, and effectiveness, and the challenges associated with their implementation in low-middle income countries (LMIC) in the last ten years.MethodsA search of various electronic database was conducted, including PubMed, Scopus, and PsycINFO, to identify articles published between 2009 and 2019 that focused on the implementation of eHealth in the primary healthcare setting across LMICs. A total of 450 articles were screened and thirty-nine relevant articles were selected for review.ResultsThe thirty-nine included studies were classified into the following four categories: (i) assessment of intervention effects (n = 26); (ii) cost-benefit analysis (n = 4); (iii) systematic review (n = 5); and (iv) conceptual exploration of eHealth interventions (n = 4). The eHealth studies covered three domains: (i) non-communicable diseases; (ii) reproductive, maternal, newborn, and child health; and (iii) other health issues. The included eHealth technologies comprised mobile health (n = 27), telemedicine (n = 10), and information and communication technology (n = 2).ConclusionsThe majority of studies assessed eHealth technologies based on the following eight dimensions: safety, clinical effectiveness, technical aspects, acceptability, cost, ethical aspects, adaptability to local needs, and scalability. However, evidence on safety, cost effectiveness, and scalability were limited. The main implementation challenges identified were technology development and maintenance costs, the need for trained human resources, and acceptability among users. The methodologies and assessment frameworks of the studies were heterogeneous in nature, highlighting the need for a robust, standardized, and comprehensive framework for assessing eHealth technologies.
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Bastoni, Sofia, Christian Wrede, Marcia C. da SIlva, Robbert Sanderman, Andrea Gaggioli, Annemarie Braakman-Jansen, and Lisette van Gemert-Pijnen. "Factors Influencing Implementation of eHealth Technologies to Support Informal Dementia Care: An Umbrella Review." Innovation in Aging 5, Supplement_1 (December 1, 2021): 938–39. http://dx.doi.org/10.1093/geroni/igab046.3393.
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Abstract The increase of People with Dementia (PwD) living at home underscores the need for innovative eHealth technologies that support both patients and informal caregivers (IC). Sustainable implementation of eHealth technologies within this target group can, however, be difficult. Our study aims at providing an overview of (1) technologies employed in the context of informal dementia care (IDC) and (2) factors influencing the implementation of these technologies. Five databases were searched for (systematic) reviews. 21 reviews were included. A combination of deductive and inductive thematic analysis was performed, using the NASSS Framework to organize the findings. We identified technologies used “by IC”, “by PwD” and “with PwD”. Most represented technologies included: (i) devices for in-home monitoring (ii) technologies for supporting memory, orientation, and day structure, and (iii) communication technologies. Most factors influencing implementation related to the condition of dementia, characteristics of the technology, the expected/perceived value by users, and the characteristics of the IC. Considerably less has been reported on factors related to the implementing organization, the technology supplier, the wider institutional and sociocultural context of policy and regulations, and the adaptation of technology over time. Our study 1) created a comprehensive overview of eHealth technologies employed in the context of IDC and contributes to a better understanding of factors influencing their implementation, and 2) uncovered a knowledge gap regarding success factors for implementation related to the wider context. Although future research is needed, these findings can help researchers improving the development and implementation of eHealth technologies to support IDC.
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Cruz-Martínez, Roberto Rafael, Jobke Wentzel, Britt Elise Bente, Robbert Sanderman, and Julia EWC van Gemert-Pijnen. "Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis." JMIR Cardio 5, no. 2 (December 1, 2021): e31985. http://dx.doi.org/10.2196/31985.
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Background eHealth can revolutionize the way self-management support is offered to chronically ill individuals such as those with a cardiovascular disease (CVD). However, patients’ fluctuating motivation to actually perform self-management is an important factor for which to account. Tailoring and personalizing eHealth to fit with the values of individuals promises to be an effective motivational strategy. Nevertheless, how specific eHealth technologies and design features could potentially contribute to values of individuals with a CVD has not been explicitly studied before. Objective This study sought to connect a set of empirically validated, health-related values of individuals with a CVD with existing eHealth technologies and their design features. The study searched for potential connections between design features and values with the goal to advance knowledge about how eHealth technologies can actually be more meaningful and motivating for end users. Methods Undertaking a technical investigation that fits with the value sensitive design framework, a content analysis of existing eHealth technologies was conducted. We matched 11 empirically validated values of CVD patients with 70 design features from 10 eHealth technologies that were previously identified in a systematic review. The analysis consisted mainly of a deductive coding stage performed independently by 3 members of the study team. In addition, researchers and developers of 6 of the 10 reviewed technologies provided input about potential feature-value connections. Results In total, 98 connections were made between eHealth design features and patient values. This meant that some design features could contribute to multiple values. Importantly, some values were more often addressed than others. CVD patients’ values most often addressed were related to (1) having or maintaining a healthy lifestyle, (2) having an overview of personal health data, (3) having reliable information and advice, (4) having extrinsic motivators to accomplish goals or health-related activities, and (5) receiving personalized care. In contrast, values less often addressed concerned (6) perceiving low thresholds to access health care, (7) receiving social support, (8) preserving a sense of autonomy over life, and (9) not feeling fear, anxiety, or insecurity about health. Last, 2 largely unaddressed values were related to (10) having confidence and self-efficacy in the treatment or ability to achieve goals and (11) desiring to be seen as a person rather than a patient. Conclusions Positively, existing eHealth technologies could be connected with CVD patients’ values, largely through design features that relate to educational support, self-monitoring support, behavior change support, feedback, and motivational incentives. Other design features such as reminders, prompts or cues, peer-based or expert-based human support, and general system personalization were also connected with values but in narrower ways. In future studies, the inferred feature-value connections must be validated with empirical data from individuals with a CVD or similar chronic conditions.
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Gonzalez-Garcia, Manuel C., Farhad Fatehi, Marlien Varnfield, Hang Ding, Mohan Karunanithi, Ian Yang, Rachael Cordina, and John Feenstra. "Use of eHealth in the management of pulmonary arterial hypertension: review of the literature." BMJ Health & Care Informatics 27, no. 3 (September 2020): e100176. http://dx.doi.org/10.1136/bmjhci-2020-100176.
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BackgroundPulmonary arterial hypertension (PAH) is a severe chronic condition associated with poor quality of life and high risks of mortality and hospitalisation. The utilisation of novel diagnostic technologies has improved survival rates although the effectiveness of Electronic Health (eHealth) interventions in patients with a chronic cardiopulmonary disease remains controversial. As the effectiveness of eHealth can be established by specific evaluation for different chronic health conditions, the aim of this study was to explore and summarise the utilisation of eHealth in PAH.MethodWe searched PubMed, CINAHL and Embase for all studies reporting clinical trials on eHealth solutions for the management of PAH. No limitations in terms of study design or date of publication were imposed.Results18 studies (6 peer-reviewed journal papers and 12 conference papers) were identified. Seven studies addressed the accuracy, safety or reliability of eHealth technologies such as intra-arterial haemodynamic monitoring of the pulmonary artery pressure, self-administered 6-Minute walk test App, computerised step-pulse oximeter and ambulatory impedance cardiography. Two studies evaluated eHealth as part of the medical management and showed a reduction in hospitalisation rate.ConclusionsThe evidence of eHealth supporting the management of people with PAH is limited and only embraced through a few studies of small sample size and short-term duration. Given the proposed clinical benefits in heart failure, we postulate that the evaluation of eHealth for the clinical management of PAH is highly warranted.
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Alenoghena, Caroline Omoanatse, Adeiza James Onumanyi, Henry Ohiani Ohize, Achonu Oluwole Adejo, Maxwell Oligbi, Shaibu Ibrahim Ali, and Supreme Ayewoh Okoh. "eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions." International Journal of Environmental Research and Public Health 19, no. 20 (October 11, 2022): 13071. http://dx.doi.org/10.3390/ijerph192013071.
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The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in the study and development of eHealth systems. Although it is almost impossible to cover all aspects of eHealth in a single discussion, three critical areas have gained traction. These include the need for acceptable eHealth architectures, the development of mobile health (mHealth) technologies, and the need to address eHealth system security concerns. Existing survey articles lack a synthesis of the most recent advancements in the development of architectures, mHealth solutions, and innovative security measures, which are essential components of effective eHealth systems. Consequently, the present article aims at providing an encompassing survey of these three aspects towards the development of successful and efficient eHealth systems. Firstly, we discuss the most recent innovations in eHealth architectures, such as blockchain-, Internet of Things (IoT)-, and cloud-based architectures, focusing on their respective benefits and drawbacks while also providing an overview of how they might be implemented and used. Concerning mHealth and security, we focus on key developments in both areas while discussing other critical topics of importance for eHealth systems. We close with a discussion of the important research challenges and potential future directions as they pertain to architecture, mHealth, and security concerns. This survey gives a comprehensive overview, including the merits and limitations of several possible technologies for the development of eHealth systems. This endeavor offers researchers and developers with a quick snapshot of the information necessary during the design and decision-making phases of the eHealth system development life cycle. Furthermore, we conclude that building a unified architecture for eHealth systems would require combining several existing designs. It also points out that there are still a number of problems to be solved, so more research and investment are needed to develop and deploy functional eHealth systems.
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Asthana, Sheena, Rod Sheaff, Ray Jones, and Arunangsu Chatterjee. "eHealth technologies and the know-do gap: exploring the role of knowledge mobilisation." Evidence & Policy: A Journal of Research, Debate and Practice 16, no. 4 (November 1, 2020): 687–701. http://dx.doi.org/10.1332/174426420x15808912803267.
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Background: eHealth technologies are widely believed to contribute to improving health and patients’ experience of care and reducing health system costs. While many studies explore barriers to and facilitators of eHealth innovation, we lack understanding of how this knowledge can be translated into workable, practicable and properly resourced knowledge mobilisation (KM) strategies.Aims and objectives: This paper describes the aims, methods and outputs of a large European Union funded project (eHealth Productivity and Innovation in Cornwall and the Isles of Scilly (EPIC)) to support the development of a sustainable innovation ecosystem in Cornwall and the Isles of Scilly, in order to explore how knowledge mobilisation activities can help bridge the know-do gap in eHealth.Conclusions: Preparatory knowledge sharing, linkage making and capacity building are necessary preliminaries to co-production, with an emphasis on capturing the uses to which patients, carers and health workers want to put new technologies rather than promoting new technology for its own sake. Financial support can play a key role in supply-side dynamics, although the contextual and organisational barriers to eHealth innovation in England should not be underestimated.
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Airola, Ella. "Learning and Use of eHealth Among Older Adults Living at Home in Rural and Nonrural Settings: Systematic Review." Journal of Medical Internet Research 23, no. 12 (December 2, 2021): e23804. http://dx.doi.org/10.2196/23804.
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Background Care policies emphasize deinstitutionalization and aging in place in response to demographic changes. Different eHealth technologies are one way to achieve this aim. However, there is a need to better understand older adults’ needs for eHealth services, and thus, these health solutions require further exploration. Objective The purpose of this systematic literature review is to appraise, synthesize, and summarize the literature on older adults’ (aged ≥60 years) eHealth learning and use in real home settings, particularly in rural and remote areas, with a focus on the social and cultural context. Methods A systematic search was conducted in January 2020 using 4 academic databases. The studies by means of qualitative thematic analysis to identify the barriers, enablers, and support practices involved in the domestication process were examined. In addition, we identified the various meanings attached to eHealth technologies for older adults living in rural and remote areas. Results In total, 31 empirical studies published between 2010 and 2020 were included in this review. A total of 17 articles included participants from rural and remote areas. The most regularly reported barriers related to older adults’ learning to use and use of eHealth were health-related difficulties, such as cognitive impairment or impaired hearing. The most reported enabler was the support provided for older adults in learning and use of eHealth. Support mainly comprised older adults’ own digital competences, which were distributed with their social network. It was found that eHealth technology is needed for rural and remote areas to facilitate access and reduce logistical barriers to health care services. Conclusions The literature review provided information and practical implications for designers, health care providers, and policy makers. On the basis of these findings, eHealth technologies should be easy to use, and adequate support should be provided to older adults for use.
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Sanyal, Chiranjeev, Paul Stolee, Don Juzwishin, and Don Husereau. "Economic evaluations of eHealth technologies: A systematic review." PLOS ONE 13, no. 6 (June 13, 2018): e0198112. http://dx.doi.org/10.1371/journal.pone.0198112.
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Piad-Morffis, Alejandro, Yoan Gutiérrez, and Rafael Muñoz. "A corpus to support eHealth Knowledge Discovery technologies." Journal of Biomedical Informatics 94 (June 2019): 103172. http://dx.doi.org/10.1016/j.jbi.2019.103172.
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Madjedi, Kian, and Rukhsaar Daya. "Towards a framework for the development, implementation and sustainability of eHealth interventions in Indigenous communities." University of Ottawa Journal of Medicine 6, no. 1 (May 11, 2016): 27–30. http://dx.doi.org/10.18192/uojm.v6i1.1565.
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eHealth technology, an umbrella term including telemedicine, telehealth, and mobile health interventions (among others), has recently begun expanding its reach into Indigenous communities. With this new “migration” comes the need for special consideration of the factors that contribute to “successful” adoption, integration, and sustainability of such eHealth technologies in Indigenous communities. While existing frameworks are typically helpful orientations to guide eHealth implementation, they commonly lack elements that give specific consideration to the important nuances and special considerations when piloting eHealth initiatives in these unique and diverse community and cultural contexts. There is thus a need to expand, adapt, or design new eHealth adoption and implementation frameworks that help guide the piloting and use of health technologies in respectful, ethical, and community-centered ways in Indigenous communities. This paper suggests subjective considerations for the preliminary development of a generic eHealth technology adoption and implementation framework in Indigenous communities. Considerations are divided into three main sections: Development and Adoption; Implementation; and Sustainability, with relevant discussion of the centrality of community engagement, inclusivity, and respect. La cybersanté est une expression utilisée en médecine pour regrouper différentes technologies telles que la télémédecine, la télésanté, et les interventions de santé mobile. Avec une mise en oeuvre graduelle de la cybersanté dans les communautés autochtones, il y a des considérations spéciales et des facteurs spécifiques à prendre en compte pour assurer une intégration efficace et durable de ces technologies. Certaines infrastructures existent déjà pour faciliter l’utilisation de la cybersanté. Toutefois, il est important que l’utilisation de ces technologies soit éthique, respectueuse des différences culturelles autochtones, et en fonction des besoins des communautés autochtones. Cet article suggère des éléments à considérer dans le développement préliminaire d’une approche médicale axée sur la cybersanté et dans la mise en oeuvre d’infrastructure dans les communautés autochtones. Les considérations sont divisées en trois sections : le développement et l’adoption; la mise en oeuvre; et la durabilité, avec une discussion sur l’engagement communautaire, l’inclusion, et le respect mutuel.
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Støme, Linn Nathalie, Christian Ringnes Wilhelmsen, and Kari Jorunn Kværner. "Enabling Guidelines for the Adoption of eHealth Solutions: Scoping Review." JMIR Formative Research 5, no. 4 (April 30, 2021): e21357. http://dx.doi.org/10.2196/21357.
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Background Globally, public health care is under increasing pressure, an economic burden currently amplified by the COVID-19 outbreak. With the recognition that universal health coverage improves the health of a population and reduces health inequalities, universal health coverage has been acknowledged as a priority goal. To meet the global needs in a population with increased chronic illness and longer life expectancy, the health care system is in dire need of new, emerging technologies. eHealth solutions as a method of delivery may have an impact on quality of care and health care costs. As such, it is important to study methods previously used to avoid suboptimal implementation and promote general guidelines to further develop eHealth solutions. Objective This study aims to explore and thematically categorize a selected representation of early phase studies on eHealth technologies, focusing on papers that are under development or undergoing testing. Further, we want to assess enablers and barriers in terms of usability, scaling, and data management of eHealth implementation. The aim of this study to explore early development phase and feasibility studies was an intentional effort to provide applicable guidelines for evaluation at different stages of implementation. Methods A structured search was performed in PubMed, MEDLINE, and Cochrane to identify and provide insight in current eHealth technology and methodology under development and gain insight in the future potential of eHealth technologies. Results In total, 27 articles were included in this review. The clinical studies were categorized thematically by illness comparing 4 technology types deemed relevant: apps/web-based technology, sensor technology, virtual reality, and television. All eHealth assessment and implementation studies were categorized by their focus point: usability, scaling, or data management. Studies assessing the effect of eHealth were divided into feasibility studies, qualitative studies, and heuristic assessments. Studies focusing on usability (16/27) mainly addressed user involvement and learning curve in the adoption of eHealth, while the majority of scaling studies (6/27) focused on strategic and organizational aspects of upscaling eHealth solutions. Studies focusing on data management (5/27) addressed data processing and data sensitivity in adoption and diffusion of eHealth. Efficient processing of data in a secure manner, as well as user involvement and feedback, both throughout small studies and during upscaling, were the important enablers considered for successful implementation of eHealth. Conclusions eHealth interventions have considerable potential to improve lifestyle changes and adherence to treatment recommendations. To promote efficient implementation and scaling, user involvement to promote user-friendliness, secure and adaptable data management, and strategical considerations needs to be addressed early in the development process. eHealth should be assessed during its development into health services. The wide variation in interventions and methodology makes comparison of the results challenging and calls for standardization of methods.
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Bernardo, Joana, João Apóstolo, Ricardo Loureiro, Elaine Santana, Nilufer Korkmaz Yaylagul, Carina Dantas, Filipa Ventura, et al. "eHealth Platforms to Promote Autonomous Life and Active Aging: A Scoping Review." International Journal of Environmental Research and Public Health 19, no. 23 (November 29, 2022): 15940. http://dx.doi.org/10.3390/ijerph192315940.
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New technologies, namely eHealth platforms, are being used more than ever before. These platforms enable older people to have a more independent lifestyle, enhance their participation, and improve their well-being. Information and communication technologies are expected to be linked to the triad of aging, social inclusion, and active participation, which is in line with the implementation of Smart Healthy and Age-Friendly Environments. This scoping review aimed to map eHealth platforms designed to promote autonomous life and active aging. The Joanna Briggs Institute methodology and the PRISMA-ScR checklist were used. A search was conducted on MEDLINE (via PubMed), CINAHL Complete (via EBSCOhost), Scopus, Cochrane Database of Systematic Reviews (via EBSCOhost), SciELO, DART-Europe, CAPES, and MedNar databases. Fourteen studies were included. This scoping review synthesized information on eHealth platforms designed to promote active living, their domains of intervention, and the outcomes assessed in those studies that have implemented and evaluated these eHealth platforms.
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Keasberry, Justin, Ian A. Scott, Clair Sullivan, Andrew Staib, and Richard Ashby. "Going digital: a narrative overview of the clinical and organisational impacts of eHealth technologies in hospital practice." Australian Health Review 41, no. 6 (2017): 646. http://dx.doi.org/10.1071/ah16233.
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Objective The aim of the present study was to determine the effects of hospital-based eHealth technologies on quality, safety and efficiency of care and clinical outcomes. Methods Systematic reviews and reviews of systematic reviews of eHealth technologies published in PubMed/Medline/Cochrane Library between January 2010 and October 2015 were evaluated. Reviews of implementation issues, non-hospital settings or remote care or patient-focused technologies were excluded from analysis. Methodological quality was assessed using a validated appraisal tool. Outcome measures were benefits and harms relating to electronic medical records (EMRs), computerised physician order entry (CPOE), electronic prescribing (ePrescribing) and computerised decision support systems (CDSS). Results are presented as a narrative overview given marked study heterogeneity. Results Nineteen systematic reviews and two reviews of systematic reviews were included from 1197 abstracts, nine rated as high quality. For EMR functions, there was moderate-quality evidence of reduced hospitalisations and length of stay and low-quality evidence of improved organisational efficiency, greater accuracy of information and reduced documentation and process turnaround times. For CPOE functions, there was moderate-quality evidence of reductions in turnaround times and resource utilisation. For ePrescribing, there was moderate-quality evidence of substantially fewer medications errors and adverse drug events, greater guideline adherence, improved disease control and decreased dispensing turnaround times. For CDSS, there was moderate-quality evidence of increased use of preventive care and drug interaction reminders and alerts, increased use of diagnostic aids, more appropriate test ordering with fewer tests per patient, greater guideline adherence, improved processes of care and less disease morbidity. There was conflicting evidence regarding effects on in-patient mortality and overall costs. Reported harms were alert fatigue, increased technology interaction time, creation of disruptive workarounds and new prescribing errors. Conclusion eHealth technologies in hospital settings appear to improve efficiency and appropriateness of care, prescribing safety and disease control. Effects on mortality, readmissions, total costs and patient and provider experience remain uncertain. What is known about the topic? Healthcare systems internationally are undertaking large-scale digitisation programs with hospitals being a major focus. Although predictive analyses suggest that eHealth technologies have the potential to markedly transform health care delivery, contemporary peer-reviewed research evidence detailing their benefits and harms is limited. What does this paper add? This narrative overview of 19 systematic reviews and two reviews of systematic reviews published over the past 5 years provides a summary of cumulative evidence of clinical and organisational effects of contemporary eHealth technologies in hospital practice. EMRs have the potential to increase accuracy and completeness of clinical information, reduce documentation time and enhance information transfer and organisational efficiency. CPOE appears to improve laboratory turnaround times and decrease resource utilisation. ePrescribing significantly reduces medication errors and adverse drug events. CDSS, especially those used at the point of care and integrated into workflows, attract the strongest evidence for substantially increasing clinician adherence to guidelines, appropriateness of disease and treatment monitoring and optimal medication use. Evidence of effects of eHealth technologies on discrete clinical outcomes, such as morbid events, mortality and readmissions, is currently limited and conflicting. What are the implications for practitioners? eHealth technologies confer benefits in improving quality and safety of care with little evidence of major hazards. Whether EMRs and CPOE can affect clinical outcomes or overall costs in the absence of auxiliary support systems, such as ePrescribing and CDSS, remains unclear. eHealth technologies are evolving rapidly and the evidence base used to inform clinician and managerial decisions to invest in these technologies must be updated continually. More rigorous field research using appropriate evaluation methods is needed to better define real-world benefits and harms. Customisation of eHealth applications to the context of patient-centred care and management of highly complex patients with multimorbidity will be an ongoing challenge.
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Bonet, Lucia, Blanca Llácer, Miguel Hernandez-Viadel, David Arce, Ignacio Blanquer, Carlos Cañete, Maria Escartí, Ana M. González-Pinto, and Julio Sanjuán. "Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire." JMIR Mental Health 5, no. 3 (July 25, 2018): e51. http://dx.doi.org/10.2196/mental.9950.
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Background Despite a growing interest in the use of technology in order to support the treatment of psychotic disorders, limited knowledge exists about the viability and acceptability of these eHealth interventions in relation to the clinical characteristics of patients. Objective The objective of this study was to assess the access and use of, as well as experiences and interest in, new technologies using a survey of patients diagnosed with early psychosis compared with a survey of patients diagnosed with chronic psychotic disorders. Methods We designed a structured questionnaire. This questionnaire was divided into five parts: (1) clinical and demographic information, (2) access and use of the internet, (3) use of the internet in relation to mental health, (4) experiences with technology, and (5) patients’ interest in eHealth services. In total, 105 patients were recruited from early psychosis units (n=65) and recovery units (n=40). Results In this study, 84.8% (89/105) of the patients had access to the internet and 88.6% (93/105) owned an electronic internet device. In total, 71.3% (57/80) of patients who owned a mobile phone were interested in eHealth systems and 38.2% (37/97) reported negative experiences related to the internet usage. We observed differences between the groups in terms of device ownership (P=.02), the frequency of internet access (P<.001), the use of social media (P=.01), and seeking health information (P=.04); the differences were found to be higher in the early psychosis group. No differences were found between the groups in terms of the use of internet in relation to mental health, experiences and opinions about the internet, or interest in eHealth interventions (P=.43). Conclusions The availability and use of technology for the participants in our survey were equivalent to those for the general population. The differences found between the groups in relation to the access or use of technology seemed to due to age-related factors. The use of technology involving mental health and the interest in eHealth interventions were mainly positive and equivalent between the groups. Accordingly, this group of patients is a potential target for the emerging eHealth interventions, regardless of their clinical status. However, 28.7% (23/80) of the studied patients rejected the use of internet interventions and 38.2% (37/97) had unpleasant experiences related to its usage; thus, more in-depth studies are needed to better define the profile of patients with psychosis who may benefit from eHealth treatments.
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Cheng, Christina, Alison Beauchamp, Gerald R. Elsworth, and Richard H. Osborne. "Applying the Electronic Health Literacy Lens: Systematic Review of Electronic Health Interventions Targeted at Socially Disadvantaged Groups." Journal of Medical Internet Research 22, no. 8 (August 13, 2020): e18476. http://dx.doi.org/10.2196/18476.
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Background Electronic health (eHealth) has the potential to improve health outcomes. However, eHealth systems need to match the eHealth literacy needs of users to be equitably adopted. Socially disadvantaged groups have lower access and skills to use technologies and are at risk of being digitally marginalized, leading to the potential widening of health disparities. Objective This systematic review aims to explore the role of eHealth literacy and user involvement in developing eHealth interventions targeted at socially disadvantaged groups. Methods A systematic search was conducted across 10 databases for eHealth interventions targeted at older adults, ethnic minority groups, low-income groups, low-literacy groups, and rural communities. The eHealth Literacy Framework was used to examine the eHealth literacy components of reviewed interventions. The results were analyzed using narrative synthesis. Results A total of 51 studies reporting on the results of 48 interventions were evaluated. Most studies were targeted at older adults and ethnic minorities, with only 2 studies focusing on low-literacy groups. eHealth literacy was not considered in the development of any of the studies, and no eHealth literacy assessment was conducted. User involvement in designing interventions was limited, and eHealth intervention developmental frameworks were rarely used. Strategies to assist users in engaging with technical systems were seldom included in the interventions, and accessibility features were limited. The results of the included studies also provided inconclusive evidence on the effectiveness of eHealth interventions. Conclusions The findings highlight that eHealth literacy is generally overlooked in developing eHealth interventions targeted at socially disadvantaged groups, whereas evidence about the effectiveness of such interventions is limited. To ensure equal access and inclusiveness in the age of eHealth, eHealth literacy of disadvantaged groups needs to be addressed to help avoid a digital divide. This will assist the realization of recent technological advancements and, importantly, improve health equity.
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Jackson, Belinda D., Kathleen Gray, Simon R. Knowles, and Peter De Cruz. "EHealth Technologies in Inflammatory Bowel Disease: A Systematic Review." Journal of Crohn's and Colitis 10, no. 9 (February 29, 2016): 1103–21. http://dx.doi.org/10.1093/ecco-jcc/jjw059.
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Hübner, U. "What Are Complex eHealth Innovations and How Do You Measure Them?" Methods of Information in Medicine 54, no. 04 (2015): 319–27. http://dx.doi.org/10.3414/me14-05-0001.
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SummaryObjectives: eHealth and innovation are often regarded as synonyms – not least because eHealth technologies and applications are new to their users. This position paper challenges this view and aims at exploring the nature of eHealth innovation against the background of common definitions of innovation and facts from the biomedical and health informatics literature. A good understanding of what constitutes innovative eHealth developments allows the degree of innovation to be measured and interpreted.Methods: To this end, relevant biomedical and health informatics literature was searched mainly in Medline and ACM digital library. This paper presents seven facts about implementing and applying new eHealth developments hereby drawing on the experience published in the literature.Results: The facts are: 1. eHealth innovation is relative. 2. Advanced clinical practice is the yardstick. 3. Only used and usable eHealth technology can give birth to eHealth innovatio. 4. One new single eHealth function does not make a complex eHealth innovation. 5. eHealth innovation is more evolution than revolution. 6. eHealth innovation is often triggered behind the scenes; and 7. There is no eHealth innovation without sociocultural change.Conclusions: The main conclusion of the seven facts is that eHealth innovations have many ingredients: newness, availability, advanced clinical practice with proven outcomes, use and usability, the supporting environment, other context factors and the stakeholder perspectives. Measuring eHealth innovation is thus a complex matter. To this end we propose the development of a composite score that expresses comprehensively the nature of eHealth innovation and that breaks down its complexity into the three dimensions: i) eHealth adoption, ii) partnership with advanced clinical practice, and iii) use and usability of eHealth. In order to better understand the momentum and mechanisms behind eHealth innovation the fourth dimension, iv) eHealth supporting services and means, needs to be studied. Conceptualising appropriate measurement instruments also requires eHealth innovation to be distinguished from eHealth sophistication, performance and quality, although innovation is intertwined with these concepts. The demanding effort for defining eHealth innovation and measuring it properly seem worthwhile and promise advances in creating better systems. This paper thus intends to stimulate the necessary discussion.
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Dagadkhair, Amol, Shradha Rodge, and Vasant Pawar. "Development of Disease Self-Management (DSM) Regulatory, Non-communicable Diseases Negotiable Emerging eHealth driven Food Processing Technologies." E3S Web of Conferences 170 (2020): 03009. http://dx.doi.org/10.1051/e3sconf/202017003009.
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In the modern food technology digital era, innovation and consumerism driven hypothesis generation plays important role to make the system summarily applicable under information and communication technologies (ICT) domain. eHealth conceptualization and promulgation based on scientific and technological information dissemination, recorded as a need base intervention to update food technology scenario. Nutrition transition leading to goodness and smartness has direct relationship with health of the consumer. Moreover, lifestyle transition generative non-communicable diseases (NCD’s) is becoming a vibrant challenge to food technologists. The sedentary status and individual inactivity jointly invited physio-nutritional health problems like NCD’s world over. Disease self-management (DSM) by eDiet requires hand in hand association of innovative food technology products and processes. eHealth appears to be one stop solution to prevent, cure and stimulate non-recurrence through regulatory dietary pattern. This may also be justify more efficiently with regulatory mechanism of DSM. Food processing being an art of material transition, leading to consumable security, requires to bring it under health claim base food processing scenario. Hence, concerted efforts of eHealth and novel food processing technologies are rightly awaiting to modify the DSM to ensure health security to consumers. The review base focus on tailoring of eHealth and novel food processing technologies is a techno-economical option to develop a regulatory mechanism for negotiation of NCD’s in future generation.
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Duran, Pablo, Janine A. Sommer, Paula Otero, Mariana Daus, Sonia Benitez, Suzanne Serruya, and Luis Andres De Francisco. "Information and communication technologies in neonatal health." Revista Panamericana de Salud Pública 44 (November 11, 2020): 1. http://dx.doi.org/10.26633/rpsp.2020.123.
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Objectives. To identify scientific evidence on the use and results of information and communication technologies for the improvement of neonatal health in general or specific health problems or interventions, and to describe the type of intervention and its results. Methods. A systematic review of the available evidence was performed. The search was carried out in peerreviewed journals between January 1, 2008 and April 30, 2018, in English and Spanish. The searched key terms were (health informatics OR telemedicine OR mHealth) AND (newborn OR newborn care OR neonatal care). Results. From a total of 305 articles initially identified, 10 articles fulfilled the inclusion criteria. The main domains of eHealth identified as applied to neonatal health were telemedicine (3 studies), eLearning (1 study) and mHealth (7 studies). Target population were health care providers or parents. The studies aimed at diagnosis, provision of health care and training, promoting adherence to interventions in parents or improving quality of care. Conclusions. The use of eHealth in general and specifically focused on neonatal health shows important possibilities for development and expansion, given the advances and present needs, and should be considered a key tool for the reduction of inequalities.
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Mengestie, Nebyu Demeke, Tesfahun Melese Yilma, Miftah Abdella Beshir, and Genet Kiflemariam Paulos. "eHealth Literacy of Medical and Health Science Students and Factors Affecting eHealth Literacy in an Ethiopian University: A Cross-Sectional Study." Applied Clinical Informatics 12, no. 02 (March 2021): 301–9. http://dx.doi.org/10.1055/s-0041-1727154.
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Abstract Background eHealth literacy is individual's ability to look for, understand, and evaluate health information from electronic sources. Integrating eHealth literacy to the health system could help lower health care costs and ensure health equity. Despite its importance, the eHealth literacy level in Ethiopia has not been studied on medical and health science students, who are important parties in the health system. Understanding their level of eHealth literacy augments practice of health care, efficiency in education, and use of eHealth technologies. Objective This research study aims to determine eHealth literacy level and identify its associated factors among medical and health science students in University of Gondar (UoG). Methods An institution-based cross-sectional study was conducted from March to May 2019 among undergraduate medical and health science students in the UoG. Stratified multistage sampling was used. The eHealth literacy scale was used to measure eHealth literacy. A binary logistic regression model was fitted to measure association between eHealth literacy and the independent variables. Results A total of 801 students participated in this study with a 94.6% of response rate. The majority (60%) were male and previously lived-in urban areas (68%). The mean eHealth literacy score was 28.7 and 60% of the participants possessed high eHealth literacy. Using health-specific Web sites (adjusted odds ratio [AOR] = 2.84, 95% confidence interval [CI]: 1.86–4.33), having higher Internet efficacy (AOR = 2.26, 95% CI: 1.56–3.26), perceived usefulness of the Internet (AOR = 3.33, 95% CI: 1.95–5.69), medical app use (AOR = 1.70, 95% CI: 1.13–2.55), being female (AOR = 1.55, 95% CI: 1.08–2.22), and being health informatics student (AOR = 2.02, 95% CI: 1.149–3.148) affect a high eHealth literacy level. Conclusion The level of eHealth literacy in this study was moderate. Using specific reputable health Web sites, using smartphone medical applications, and Internet efficacy determine eHealth literacy significantly.
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Kldiashvili, Ekaterine. "The Cloud Computing as the Tool for Implementation of Virtual Organization Technology for eHealth." Journal of Information Technology Research 5, no. 1 (January 2012): 18–34. http://dx.doi.org/10.4018/jitr.2012010102.
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Information and communication technologies have become the essential part of societal life and practical activity. eHealth can be designated as a special form of information and communication technologies. It is obvious that eHealth has a great potentiality; however today there are unfortunately only a few examples of its large services. Efficient, effective, and reliable systems for remote consultations and distance education are the top requirements for eHealth. Cloud computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale sharing, innovative applications, and, in some cases, high-performance orientation. The authors define Cloud computing as flexible, secure, coordinated resource sharing among dynamic collections of individuals, institutions, and resources – what can be described as “virtual organizations.” It is plausible that this technology has more potential and can improve health care services, benefit health care research, and change the face of health information technology. However, cloud computing should be rigorously evaluated before its widespread adoption. Over the past five years, research and development activities have produced protocols, services, and tools. The present article discusses the application of virtual organization technology for eHealth purposes.
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Aardoom, Jiska Joëlle, Lisa Loheide-Niesmann, Hans C. Ossebaard, and Heleen Riper. "Effectiveness of Electronic Health Interventions in Improving Treatment Adherence for Adults With Obstructive Sleep Apnea: Meta-Analytic Review." Journal of Medical Internet Research 22, no. 2 (February 16, 2020): e16972. http://dx.doi.org/10.2196/16972.
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Background Poor adherence to continuous positive airway pressure (CPAP) treatment by adults with obstructive sleep apnea (OSA) is a common issue. Strategies delivered by means of information and communication technologies (ie, electronic health [eHealth]) can address treatment adherence through patient education, real-time monitoring of apnea symptoms and CPAP adherence in daily life, self-management, and early identification and subsequent intervention when device or treatment problems arise. However, the effectiveness of available eHealth technologies in improving CPAP adherence has not yet been systematically studied. Objective This meta-analytic review was designed to investigate the effectiveness of a broad range of eHealth interventions in improving CPAP treatment adherence. Methods We conducted a systematic literature search of the databases of Cochrane Library, PsycINFO, PubMed, and Embase to identify relevant randomized controlled trials in adult OSA populations. The risk of bias in included studies was examined using seven items of the Cochrane Collaboration risk-of-bias tool. The meta-analysis was conducted with comprehensive meta-analysis software that computed differences in mean postintervention adherence (MD), which was defined as the average number of nightly hours of CPAP use. Results The meta-analysis ultimately included 18 studies (N=5429 adults with OSA) comprising 22 comparisons between experimental and control conditions. Postintervention data were assessed at 1 to 6 months after baseline, depending on the length of the experimental intervention. eHealth interventions increased the average nightly use of CPAP in hours as compared with care as usual (MD=0.54, 95% CI 0.29-0.79). Subgroup analyses did not reveal significant differences in effects between studies that used eHealth as an add-on or as a replacement to care as usual (P=.95), between studies that assessed stand-alone eHealth and blended strategies combining eHealth with face-to-face care (P=.23), or between studies of fully automated interventions and guided eHealth interventions (P=.83). Evidence for the long-term follow-up effectiveness of eHealth adherence interventions remains undecided owing to a scarcity of available studies and their mixed results. Conclusions eHealth interventions for adults with OSA can improve adherence to CPAP in the initial months after the start of treatment, increasing the mean nightly duration of use by about half an hour. Uncertainty still exists regarding the timing, duration, intensity, and specific types of eHealth interventions that could be most effectively implemented by health care providers.
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Runz-Jørgensen, Sidsel M., Michaela L. Schiøtz, and Ulla Christensen. "Perceived Value of eHealth among People Living with Multimorbidity: A Qualitative Study." Journal of Comorbidity 7, no. 1 (January 2017): 96–111. http://dx.doi.org/10.15256/joc.2017.7.98.
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Background The prevalence of multimorbidity is increasing, creating challenges for patients, healthcare professionals, and healthcare systems. Given that chronic disease management increasingly involves eHealth, it is useful to assess its perceived value among people with multimorbidity. Objective To explore challenges related to multimorbidity and patients’ perspectives on eHealth. Design Ten semi-structured interviews with adults, living with multimorbidity in Copenhagen, Denmark. Interviews focused on patient-experienced challenges, from challenges related to self-management to challenges experienced in the healthcare sector, as well as perceptions of eHealth. During interviews, participants were presented with pictures of different eHealth technologies. Data analysis followed the systematic text condensation approach. Results Participants experienced challenges in their daily lives, e.g. when practicing self-management activities, when navigating the healthcare sector, and when interacting with healthcare professionals. Patient-perceived value of eHealth varied, depending on their burden of illness and treatment: those with a greater burden had more positive perceptions of eHealth, and expressed more intention to use it. Participants with less complex disease patterns and less burdensome treatment regimens were more likely to perceive eHealth as something worthless and undesirable. Participants stressed that eHealth should only be introduced as an optional supplement. Conclusions eHealth can potentially address some patient-experienced challenges related to multimorbidity by promoting self-management, patient-centeredness, and access. However, patients’ needs and preferences vary and eHealth cannot substitute the personal interaction between patient and healthcare professionals. Our findings point to the importance of patient assessment and stratification to ensure appropriate use of eHealth.
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Sukkird, Vatcharapong, and Kunio Shirahada. "eHealth Service Modeling for Developing Country." International Journal of E-Services and Mobile Applications 7, no. 4 (October 2015): 30–43. http://dx.doi.org/10.4018/ijesma.2015100103.
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Healthcare service is an essential mechanism for the well-being of the elderly from physical, social and mental health. Implications of mobile technology for Electronic healthcare (eHealth) are challenges in technological management and healthcare market for developing countries. eHealth support trends of the aging population in Asia that increase at an average to 30% in 2050.There is a need to identify and develop Emergency Medical Service (EMS) with electronic healthcare for elderly. This research is aimed to develop eHealth service model through mobile technology for developing countries to face with elderly patient demands in aging societies. The authors use systematic reviews to identify component of health situation and EMS from WHO. Then they develop the eHealth service model through mobile technology on basic of value co-creation concept with feasible applications. The findings show that eHealth is a significant service platform influencing effective in Demand increasing quality of service to elderly people. Mobile technologies in eHealth are key factors to increase quality of healthcare service to elderly people.
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Ardielli, Eva. "eHealth in the European Union – Comparative Study." ACC Journal 26, no. 2 (September 2020): 7–18. http://dx.doi.org/10.15240/tul/004/2020-2-001.
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eHealth is one of the global modern trends in IT, medicine and politics. It is a broad term that refers to electronization of healthcare and health services and mainly describes the use of information and communication technologies in healthcare. In practice, the evaluation of eHealth is an important matter because it leads to selection of appropriate measures for further progress in the field of electronic healthcare. What is more, it proposes recommendations for the development of eHealth in the EU countries. The article is focused on the comparison of eHealth implementation in the European Union member states. The analysis is performed by means of ELECTRE III method. The results of the empirical research further evaluate the state of eHealth implementation in all European Union member states by selected criteria and enable the comparison of the eHealth implementation in the international context. The results are verified by application of MAPPAC method. It has been acknowledged that the best ranking countries in this area has been obtained by Denmark, Finland, Estonia and Sweden.
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Pap, Iuliu Alexandru, and Stefan Oniga. "A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence." International Journal of Environmental Research and Public Health 19, no. 18 (September 10, 2022): 11413. http://dx.doi.org/10.3390/ijerph191811413.
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Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare issues have been exacerbated, highlighting the paramount need to provide both reliable and affordable health services to remote locations by using the latest technologies such as video conferencing, data management, the secure transfer of patient information, and efficient data analysis tools such as machine learning algorithms. In the constant struggle to offer healthcare to everyone, many modern technologies find applicability in eHealth, mHealth, telehealth or telemedicine. Through this paper, we attempt to render an overview of what different technologies are used in certain healthcare applications, ranging from remote patient monitoring in the field of cardio-oncology to analyzing EEG signals through machine learning for the prediction of seizures, focusing on the role of artificial intelligence in eHealth.
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Minaev, P. V., D. V. Fedyaev, Yu V. Seryapina, and T. V. Skomorokhova. "Review of foreign experience in the implementation of eHealth." FARMAKOEKONOMIKA. Modern Pharmacoeconomic and Pharmacoepidemiology 14, no. 1 (April 29, 2021): 63–71. http://dx.doi.org/10.17749/2070-4909/farmakoekonomika.2021.085.
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A review of studies, presentations and reports of the Regional Office for Europe of the World Health Organization (WHO) devoted to the experience of European countries in the formation of cross-border eHealth and the use of quality management tools for medical activities to reduce risks when introducing innovative solutions in health systems was carried out. In order to comprehensively assess the information received, a SWOT analysis was fulfilled – an analysis of strengths (S), weaknesses (W), opportunities (O) and threats (T), internal and external factors that influenced the development of cross-border eHealth in the European Union. It is shown that in European countries with a developed health care system, the leading direction in building cross-border e-Health are innovative technologies and advanced solutions aimed at improving the interaction of medical systems: Electronic Health Record (EHR), Health Information Exchange (HIE), Telemedicine Technologies (Telehealth), and Personal Health Records (PHR). The analysis of the strengths and weaknesses of this technologies, as well as the main problems that have affected the transition to eHealth and the implementation of information and communication technologies in medical organizations of European countries has revealed common factors and patterns that can be taken into account for the digital transformation of the health system in the Russian Federation.
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Chaltikyan, Georgi, Armen Avoyan, Ruben Hovhannisyan, Tatul Saghatelyan, and Aleksandr Aroyan. "Current State, Recent Advances and Perspectives of Development of Healthcare Information and Communication Technologies in Armenia." International Journal of Reliable and Quality E-Healthcare 2, no. 4 (October 2013): 48–63. http://dx.doi.org/10.4018/ijrqeh.2013100105.
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Armenia became an independent state after breakdown of the Soviet Union in 1991. After considerable derangements in the first independence decade, the country's healthcare system has seen some progress recently in terms of improving existing and developing new services, diversification of financing, with the introduction of public benefits, private domain and health insurance. The Information and Communication Technologies sector is one of the country's most dynamically developing and competitive industries. Despite that, Armenia has had modest achievements in eHealth and telemedicine so far. Centralized eHealth policy, administration and infrastructure are as yet absent, Health Information and Communication Technology (ICT) tools and applications are very slowly making their way into mainstream healthcare practices, and there are few regular telemedicine activities. Some revival of the field in the recent years is primarily related to consistent efforts by the authorities to develop eHealth, and the emergence of the national professional organization – Armenian Association of Telemedicine (AATM).
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Ardielli, Eva. "Evaluation of eHealth Deployment at Primary Care in the EU Member States by Usage of Selected MCDM Methods." Review of Economic Perspectives 20, no. 3 (September 1, 2020): 337–59. http://dx.doi.org/10.2478/revecp-2020-0016.
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AbstractInformation and Communication Technologies have become a revolutionary part of European healthcare in recent years. The European Commission considers eHealth as an important and appropriate tool that can contribute to cope with the challenges that are currently affecting the healthcare systems in Europe. The development of eHealth is therefore embedded in many EU strategies and is being evaluated on an ongoing basis. In the past, several studies have been carried out focusing on the evaluation of individual areas of eHealth - especially on the area of primary care secured by General Practitioners and Acute Hospitals. However, no synthesis of these works was made. This paper is focused on the proposing of an assessment for both mentioned areas of eHealth. The aim is to evaluate the eHealth deployment in the European Union Member States by the synthesis of Composite Indicators in existing studies into the evaluation model based on the application of Multiple-Criteria Decision-Making techniques. The evaluation is performed by the usage of TOPSIS, WSA, and MAPPAC method. The result of the research is the design of an evaluation framework for eHealth that enables the comparison of eHealth indicators in the international context and evaluation of eHealth deployment in European Union Member States in the form of a ranking. In this ranking, the Nordic countries are among the best-rated countries, while the worst-rated countries are in Eastern Europe.
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Echelard, Jean-François, François Méthot, Hue-Anh Nguyen, and Marie-Pascale Pomey. "Medical Student Training in eHealth: Scoping Review." JMIR Medical Education 6, no. 2 (September 11, 2020): e20027. http://dx.doi.org/10.2196/20027.
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Background eHealth is the use of information and communication technologies to enable and improve health and health care services. It is crucial that medical students receive adequate training in eHealth as they will work in clinical environments that are increasingly being enabled by technology. This trend is especially accelerated by the COVID-19 pandemic as it complicates traditional face-to-face medical consultations and highlights the need for innovative approaches in health care. Objective This review aims to evaluate the extent and nature of the existing literature on medical student training in eHealth. In detail, it aims to examine what this education consists of, the barriers, enhancing factors, and propositions for improving the medical curriculum. This review focuses primarily on some key technologies such as mobile health (mHealth), the internet of things (IoT), telehealth, and artificial intelligence (AI). Methods Searches were performed on 4 databases, and articles were selected based on the eligibility criteria. Studies had to be related to the training of medical students in eHealth. The eligibility criteria were studies published since 2014, from a peer-reviewed journal, and written in either English or French. A grid was used to extract and chart data. Results The search resulted in 25 articles. The most studied aspect was mHealth. eHealth as a broad concept, the IoT, AI, and programming were least covered. A total of 52% (13/25) of all studies contained an intervention, mostly regarding mHealth, electronic health records, web-based medical resources, and programming. The findings included various barriers, enhancing factors, and propositions for improving the medical curriculum. Conclusions Trends have emerged regarding the suboptimal present state of eHealth training and barriers, enhancing factors, and propositions for optimal training. We recommend that additional studies be conducted on the following themes: barriers, enhancing factors, propositions for optimal training, competencies that medical students should acquire, learning outcomes from eHealth training, and patient care outcomes from this training. Additional studies should be conducted on eHealth and each of its aspects, especially on the IoT, AI, programming, and eHealth as a broad concept. Training in eHealth is critical to medical practice in clinical environments that are increasingly being enabled by technology. The need for innovative approaches in health care during the COVID-19 pandemic further highlights the relevance of this training.
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Margineanu, I., C. Louka, O. Akkerman, Y. Stienstra, and J.-W. Alffenaar. "eHealth in TB clinical management." International Journal of Tuberculosis and Lung Disease 26, no. 12 (December 1, 2022): 1151–61. http://dx.doi.org/10.5588/ijtld.21.0602.
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BACKGROUND: The constant expansion of internet and mobile technologies has created new opportunities in the field of eHealth, or the digital delivery of healthcare services. This TB meta-analysis aims to examine eHealth and its impact on TB clinical management in order to formulate recommendations for further development.METHODS: A systematic search was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework in PubMed and Embase of articles published up to April 2021. Screening, extraction and quality assessment were performed by two independent researchers. Studies evaluating an internet and/or mobile-based eHealth intervention with an impact on TB clinical management were included. Outcomes were organised following the five domains described in the WHO “Recommendations on Digital Interventions for Health System Strengthening” guideline.RESULTS: Search strategy yielded 3,873 studies, and 89 full texts were finally included. eHealth tended to enhance screening, diagnosis and treatment indicators, while being cost-effective and acceptable to users. The main challenges concern hardware malfunction and software misuse.CONCLUSION: This study offers a broad overview of the innovative field of eHealth applications in TB. Different studies implementing eHealth solutions consistently reported on benefits, but also on specific challenges. eHealth is a promising field of research and could enhance clinical management of TB.
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ten Klooster, Iris, Jobke Wentzel, Floor Sieverink, Gerard Linssen, Robin Wesselink, and Lisette van Gemert-Pijnen. "Personas for Better Targeted eHealth Technologies: User-Centered Design Approach." JMIR Human Factors 9, no. 1 (March 15, 2022): e24172. http://dx.doi.org/10.2196/24172.
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Background The full potential of eHealth technologies to support self-management and disease management for patients with chronic diseases is not being reached. A possible explanation for these lacking results is that during the development process, insufficient attention is paid to the needs, wishes, and context of the prospective end users. To overcome such issues, the user-centered design practice of creating personas is widely accepted to ensure the fit between a technology and the target group or end users throughout all phases of development. Objective In this study, we integrate several approaches to persona development into the Persona Approach Twente to attain a more holistic and structured approach that aligns with the iterative process of eHealth development. Methods In 3 steps, a secondary analysis was carried out on different parts of the data set using the Partitioning Around Medoids clustering method. First, we used health-related electronic patient record data only. Second, we added person-related data that were gathered through interviews and questionnaires. Third, we added log data. Results In the first step, 2 clusters were found, with average silhouette widths of 0.12 and 0.27. In the second step, again 2 clusters were found, with average silhouette widths of 0.08 and 0.12. In the third step, 3 clusters were identified, with average silhouette widths of 0.09, 0.12, and 0.04. Conclusions The Persona Approach Twente is applicable for mixed types of data and allows alignment of this user-centered design method to the iterative approach of eHealth development. A variety of characteristics can be used that stretches beyond (standardized) medical and demographic measurements. Challenges lie in data quality and fitness for (quantitative) clustering.
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Nagra, Harpreet, Aradhana Goel, and Dan Goldner. "Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint." JMIR Biomedical Engineering 7, no. 1 (February 10, 2022): e29499. http://dx.doi.org/10.2196/29499.
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The COVID-19 pandemic has illuminated multiple challenges within the health care system and is unique to those living with chronic conditions. Recent advances in digital health technologies (eHealth) present opportunities to improve quality of care, self-management, and decision-making support to reduce treatment burden and the risk of chronic condition management burnout. There are limited available eHealth models that can adequately describe how this can be carried out. In this paper, we define treatment burden and the related risk of affective burnout; assess how an eHealth enhanced Chronic Care Model can help prioritize digital health solutions; and describe an emerging machine learning model as one example aimed to alleviate treatment burden and burnout risk. We propose that eHealth-driven machine learning models can be a disruptive change to optimally support persons living with chronic conditions.
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Devkota, Bijita, Fernando Montalvo, Daniel S. McConnell, and Janan A. Smither. "Combined Model of Technology Use and Medical Adherence in eHealth Technology Implementation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 776–80. http://dx.doi.org/10.1177/1071181321651295.
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eHealth applications are expected to improve the effectiveness and efficiency of healthcare systems by providing improved medical information flow between medical providers and patients. Although the technology is expected to empower patients, lower treatment costs, and provide real-time collection of health data, individuals may be apprehensive about the use and efficacy of eHealth technologies. Medical professionals are often unaware of human factors technology acceptance or usability models which impact the use of medically focused technology, such as eHealth applications. Similarly, human factors professionals are often unaware of treatment adherence models which map the relationship of illness factors and individual differences to treatment protocols. The present paper presents a theoretical approach through which technology acceptance and usability models should be combined with medical treatment adherence models to ensure that eHealth applications are used properly and effectively.