{ "version": "https://jsonfeed.org/version/1", "title": "Digital Health Evidence (most relevant)", "home_page_url": "http://www.digitalhealthevidence.net/", "feed_url": "http://www.digitalhealthevidence.net/feed/relevant/json", "description": "The most relevant Digital Health evidence", "icon": "http://www.digitalhealthevidence/logo_horizontal_small.png", "author": { "name": "James BonTempo", "url": "https://www.linkedin.com/in/jamesbontempo/" }, "items": [ { "id": "http://doi.org/10.1016/j.revinf.2025.03.002", "content_html": "Telehealth, telemedicine, telecare, tele-expertise - these are just some of the terms used to describe the intervention of healthcare professionals at a distance. Sometimes it's hard to keep track. Also known as \"e-health\" or \"digital health\", telehealth encompasses all areas (care, consultation, etc.) where information and communication technologies are used in the service of health. Nurses are fully involved. This article provides an overview of the various terms and regulations concerning nurses. ", "url": "http://doi.org/10.1016/j.revinf.2025.03.002", "title": "[Digital health].", "summary": "[Digital health]. - Revue de l'infirmiere", "date_modified": "2025-03-01T00:00:00.000Z", "author": { "name": "Guillouët, S", "url": "http://unicaen.fr" } }, { "id": "http://doi.org/10.1016/j.healthpol.2024.105122", "content_html": "Digital health technologies hold promises for reducing health care costs, enhancing access to care, and addressing labor shortages. However, they risk exacerbating inequalities by disproportionately benefitting a subset of the population. Use of digital technologies accelerated during the Covid-19 pandemic. Our scoping review aimed to describe how inequalities related to their use were conceptually assessed during and after the pandemic and understand how digital strategies and policies might support digital equity. We used the PRISMA Extension for scoping reviews, identifying 2055 papers through an initial search of 3 databases in 2021 and complementary search in 2022, of which 41 were retained. Analysis was guided by the eHealth equity framework. Results showed that digital inequalities were reported in the U.S. and other high-income countries and were mainly assessed through differences in access and use according to individual sociodemographic characteristics. Health disparities related to technology use and the interaction between context and technology implementation were more rarely documented. Policy recommendations stressed the adoption of an equity lens in strategy development and multilayered and intersectoral collaboration to align interventions with the needs of specific subgroups. Finally, findings suggested that evaluations of health and wellbeing distribution related to the use of digital technologies should inform digital strategies and health policies. ", "url": "http://doi.org/10.1016/j.healthpol.2024.105122", "title": "Digital health technologies and inequalities: A scoping review of potential impacts and policy recommendations.", "summary": "Digital health technologies and inequalities: A scoping review of potential impacts and policy recommendations. - Health policy (Amsterdam, Netherlands)", "date_modified": "2024-08-01T00:00:00.000Z", "author": { "name": "Badr, J; Motulsky, A; Denis, JL", "url": "http://umontreal.ca" } }, { "id": "http://doi.org/10.2196/37290", "content_html": "The System Usability Scale (SUS) is a widely used scale that has been used to quantify the usability of many software and hardware products. However, the SUS was not specifically designed to evaluate mobile apps, or in particular digital health apps (DHAs). The aim of this study was to examine whether the widely used SUS distribution for benchmarking (mean 68, SD 12.5) can be used to reliably assess the usability of DHAs. A search of the literature was performed using the ACM Digital Library, IEEE Xplore, CORE, PubMed, and Google Scholar databases to identify SUS scores related to the usability of DHAs for meta-analysis. This study included papers that published the SUS scores of the evaluated DHAs from 2011 to 2021 to get a 10-year representation. In total, 117 SUS scores for 114 DHAs were identified. R Studio and the R programming language were used to model the DHA SUS distribution, with a 1-sample, 2-tailed t test used to compare this distribution with the standard SUS distribution. The mean SUS score when all the collected apps were included was 76.64 (SD 15.12); however, this distribution exhibited asymmetrical skewness (-0.52) and was not normally distributed according to Shapiro-Wilk test (P=.002). The mean SUS score for \"physical activity\" apps was 83.28 (SD 12.39) and drove the skewness. Hence, the mean SUS score for all collected apps excluding \"physical activity\" apps was 68.05 (SD 14.05). A 1-sample, 2-tailed t test indicated that this health app SUS distribution was not statistically significantly different from the standard SUS distribution (P=.98). This study concludes that the SUS and the widely accepted benchmark of a mean SUS score of 68 (SD 12.5) are suitable for evaluating the usability of DHAs. We speculate as to why physical activity apps received higher SUS scores than expected. A template for reporting mean SUS scores to facilitate meta-analysis is proposed, together with future work that could be done to further examine the SUS benchmark scores for DHAs. ", "url": "http://doi.org/10.2196/37290", "title": "System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.", "summary": "System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. - JMIR mHealth and uHealth", "date_modified": "2022-08-18T00:00:00.000Z", "author": { "name": "Hyzy, M; Bond, R; Mulvenna, M; Bai, L; Dix, A; Leigh, S; Hunt, S", "url": "https://orcid.org/0000-0003-0791-8976" } }, { "id": "http://doi.org/10.3233/SHTI200696", "content_html": "Digital technologies are transforming the health sector all over the world, however various aspects of this emerging field of science is yet to be properly understood. Ambiguity in the definition of digital health is a hurdle for research, policy, and practice in this field. With the aim of achieving a consensus in the definition of digital health, we undertook a quantitative analysis and term mapping of the published definitions of digital health. After inspecting 1527 records, we analyzed 95 unique definitions of digital health, from both scholar and general sources. The findings showed that digital health, as has been used in the literature, is more concerned about the provision of healthcare rather than the use of technology. Wellbeing of people, both at population and individual levels, have been more emphasized than the care of patients suffering from diseases. Also, the use of data and information for the care of patients was highlighted. A dominant concept in digital health appeared to be mobile health (mHealth), which is related to other concepts such as telehealth, eHealth, and artificial intelligence in healthcare. ", "url": "http://doi.org/10.3233/SHTI200696", "title": "What is Digital Health? Review of Definitions.", "summary": "What is Digital Health? Review of Definitions. - Studies in health technology and informatics", "date_modified": "2020-11-23T00:00:00.000Z", "author": { "name": "Fatehi, F; Samadbeik, M; Kazemi, A", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1097/HJH.0000000000003793", "content_html": "Hypertension, a risk factor for developing cardiovascular disease, is becoming increasingly prevalent worldwide. Digital health is now widely utilized for hypertension management, and numerous studies have assessed its effectiveness. The review aims to analyse the effectiveness of digital health (i.e., mobile health (mHealth), telehealth, and the combination of mHealth & telehealth) on hypertensive patients, concerning three key areas: clinical outcomes, medication adherence, and adherence to lifestyle changes, as compared to standard care. The review followed the PRISMA framework. Eight electronic databases were scanned for randomized control trials focusing on the effects of mHealth or telehealth on hypertensive patients, published between 2010 and 2023. All processes were conducted by the first two authors independently. A meta-analysis was conducted for quantitative data, while a narrative synthesis was conducted for qualitative data. In total, 74 studies involving 92 686 participants were identified. The meta-analysis favoured the interventions, revealing a significant decrease in systolic blood pressure and diastolic blood pressure for mHealth, telehealth and mHealth & telehealth groups. Nevertheless, medication adherence showed improvement only in the mHealth group, while blood pressure control showed improvement in both mHealth and mHealth & telehealth groups, and BMI showed improvement only in the mHealth group. Evidence for adherence to physical activity and DASH diet/salt intake remained inconclusive. In general, mHealth and telehealth have demonstrated their merits in improving the clinical outcomes of hypertensive patients. ", "url": "http://doi.org/10.1097/HJH.0000000000003793", "title": "Effectiveness of digital health interventions on adherence and control of hypertension: a systematic review and meta-analysis.", "summary": "Effectiveness of digital health interventions on adherence and control of hypertension: a systematic review and meta-analysis. - Journal of hypertension", "date_modified": "2024-09-01T00:00:00.000Z", "author": { "name": "Yap, HJ; Lim, JJJ; Tan, SD; Ang, CS", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.3389/fpubh.2021.662617", "content_html": "", "url": "http://doi.org/10.3389/fpubh.2021.662617", "title": "Editorial: Telemedicine During and Beyond COVID-19.", "summary": "Editorial: Telemedicine During and Beyond COVID-19. - Frontiers in public health", "date_modified": "2021-12-01T00:00:00.000Z", "author": { "name": "Bhaskar, S; Nurtazina, A; Mittoo, S; Banach, M; Weissert, R", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.2196/58497", "content_html": "There has been a rapid expansion of digital health care services, making the need for measuring and improving digital health readiness a priority. In response, our study team developed the Mobile-Centered Digital Health Readiness: Health Literacy and Equity Scale (mDiHERS) to measure digital health readiness. We aim to develop and validate a scale that assesses digital health readiness, encompassing literacy and equity, and to ensure the effective use of mobile-centered digital health services. This study was conducted from October 2021 to October 2022 to develop and validate the mDiHERS. Participants included patients with inflammatory bowel disease, which is a chronic condition requiring continuous management, and experts in medical and nursing informatics. The scale development involved a literature review, focus group interviews, and content validity evaluations. A total of 440 patients with inflammatory bowel disease were recruited for the validation phase, with 403 completing the survey. The scale's validity and reliability were assessed through exploratory factor analysis and Cronbach α. The scale was translated into English by translators and bilingual and native researchers, ensuring its applicability in diverse settings. The mDiHERS consists of 36 items across 6 domains, with a 5-point Likert scale for responses. The validation process confirmed the scale's construct validity, with 4 factors explaining 65.05% of the total variance. The scale's reliability was established with Cronbach α values ranging from 0.84 to 0.91. The scale's development considered the technical proficiency necessary for engaging with health mobile apps and devices, reflecting the importance of subjective confidence and objective skills in digital health literacy. The mDiHERS is a validated tool for measuring patients' readiness and ability to use digital health services. The mDiHERS assesses user characteristics, digital accessibility, literacy, and equity to contribute to the effective use of digital health services and improve accessibility. The development and validation of the mDiHERS emphasize the importance of confidence and competence in managing health digitally. Continuous improvements are necessary to ensure that all patients can benefit from digital health care. ", "url": "http://doi.org/10.2196/58497", "title": "Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale.", "summary": "Development and Validation of a Mobile-Centered Digital Health Readiness Scale (mDiHERS): Health Literacy and Equity Scale. - Journal of medical Internet research", "date_modified": "2024-08-13T00:00:00.000Z", "author": { "name": "Kim, H; Schnall, R; Yoon, N; Koh, SJ; Lee, J; Cheon, JH", "url": "https://orcid.org/0000-0002-0877-5869" } }, { "id": "http://doi.org/10.3233/SHTI200275", "content_html": "Digital Health is one of the three pillars for the effective implementation of Universal Health Coverage in Argentina. The Ministry of Health published the National Digital Health Strategy 2018-2024 in order to establish the conceptual guidelines for the design and development of interoperable health information systems as a state policy. The World Health Organization \"National eHealth Strategy Toolkit\", \"Global Strategy on Digital Health\" and other international and local evidence and expert recommendations were taken into account. The path to better healthcare involves adopting systems at the point of care, allowing for the primary recording of information and enabling information exchange through real interoperability. In that way, people, technology and processes will synergize to enhance integrated health service networks. In this paper, we describe the plan and the first two years of implementation of the strategy. ", "url": "http://doi.org/10.3233/SHTI200275", "title": "Argentinian Digital Health Strategy.", "summary": "Argentinian Digital Health Strategy. - Studies in health technology and informatics", "date_modified": "2020-06-16T00:00:00.000Z", "author": { "name": "Rizzato Lede, DA; Pedernera, FA; López, E; Speranza, CD; Guevel, C; Maid, JJ; Mac Culloch, P; Rolandi, F; Ayala, F; Abadie, DA; Baqué, MI; Gassino, F; Campos, F; Kaminker, D; Cejas, CA; López Osornio, A; Rubinstein, A", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1146/annurev-clinpsy-080822-042337", "content_html": "Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions. ", "url": "http://doi.org/10.1146/annurev-clinpsy-080822-042337", "title": "Mobile Health Interventions for Substance Use Disorders.", "summary": "Mobile Health Interventions for Substance Use Disorders. - Annual review of clinical psychology", "date_modified": "2024-07-01T00:00:00.000Z", "author": { "name": "Businelle, MS; Perski, O; Hébert, ET; Kendzor, DE", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.1016/j.jbspin.2022.105405", "content_html": "", "url": "http://doi.org/10.1016/j.jbspin.2022.105405", "title": "E-Health and its therapeutic applications in rheumatology.", "summary": "E-Health and its therapeutic applications in rheumatology. - Joint bone spine", "date_modified": "2022-10-01T00:00:00.000Z", "author": { "name": "Simon, P", "url": "http://gmail.com" } } ] }