{ "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.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/10.3389/fpubh.2024.1447747", "content_html": "The growth of digital technology, represented by the development of the Internet, has become popular among older adults. Implying digital health literacy on older adults also affects their ability to use digital technology to search, browse, understand, and evaluate health information to improve their health status. This scoping review aims to explore (1) the situation of digital health literacy among older adults and (2) the influencing factors on the digital health literacy of older adults. A scoping review was performed to evaluate evidence on influencing factors on digital health literacy among older adults in October 2023 employing data from literature indexed in PubMed, Web of Science, EBSCO, Springer Link, and CNKI with search terms such as \"digital health literacy,\" \"e-health literacy,\" \"eHealth literacy\" and \"elderly people,\" \"aged people,\" \"old age.\" The review comprised research articles that addressed issues related to digital health literacy and older adults, excluding non-research and research articles that only expressed opinions without concrete data or material support. The final review included 28 articles from 4,706 retrieved records. The synthesis revealed that the digital health literacy of older adults was reflected in the scores of older adults in high-income countries, which were relatively high. In contrast, those in middle-income countries tended to be generally lower. The digital health literacy of older adults was affected by socio-demographic factors, related factors of electronic devices, and use and social support factors. Gaps of study discussed in this scoping review should be narrowed in further studies. Developing digital health literacy interventions with education and training programs should be considered to improve the digital health literacy of older adults. The digital divide among older adults should be bridged by improving social capital and family support through integrated intervention roles of government, community, and family. ", "url": "http://doi.org/10.3389/fpubh.2024.1447747", "title": "Factors influencing digital health literacy among older adults: a scoping review.", "summary": "Factors influencing digital health literacy among older adults: a scoping review. - Frontiers in public health", "date_modified": "2024-12-01T00:00:00.000Z", "author": { "name": "Shi, Z; Du, X; Li, J; Hou, R; Sun, J; Marohabutr, T", "url": "http://unknown.com" } }, { "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/10.2196/37290", "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/10.1055/s-0044-1800712", "content_html": "To introduce the 2024 International Medical Informatics Association (IMIA) Year-book by the editors. The editorial provides an introduction and overview to the 2024 IMIA Yearbook with the special theme, \"Digital Health for Precision in Prevention\". The special topic, the survey papers and some of the best papers selected this year by section editors are introduced. Changes in the Yearbook editorial board are also described. IMIA Yearbook 2024 provides many perspectives on the popular topic called \"Digital Health for Precision in Prevention\". The theme expresses the aim to provide the right intervention at the right time, adapted to the needs of each individual. Many sections presented original work on this year's theme, and all sections described notable contributions from 2023 in the various medical informatics specialties covered by the Yearbook. The theme of \"Digital Health for Precision in Prevention\" is very important now when the rapid and extensive variety of digital tools grow exponentially. ", "url": "http://doi.org/10.1055/s-0044-1800712", "title": "Digital Health for Precision Prevention.", "summary": "Digital Health for Precision Prevention. - Yearbook of medical informatics", "date_modified": "2024-08-01T00:00:00.000Z", "author": { "name": "Mougin, F; Hollis, KF; Soualmia, LF", "url": "http://unknown.com" } }, { "id": "http://doi.org/10.3233/SHTI250227", "content_html": "The integration of generative AI in digital health tools introduces opportunities and challenges to assist healthcare practices and improve health outcomes. A rapid review was performed to investigate the user experience of generative AI in digital health after the introduction of ChatGPT in 2022. Ten papers were included in the review. Findings show three types of generative AI systems (ChatGPT-specific, tailored, and custom) that were developed and studied on user experiences, measurements and outcomes differed between studies, and novel future research directives are needed to ensure good user experiences, trust, and effectiveness of generative AI in digital health. ", "url": "http://doi.org/10.3233/SHTI250227", "title": "Exploring the User Experience of Generative AI in Digital Health: A Rapid Review.", "summary": "Exploring the User Experience of Generative AI in Digital Health: A Rapid Review. - Studies in health technology and informatics", "date_modified": "2025-05-12T00:00:00.000Z", "author": { "name": "van den Berg, L; Engelsma, T; Dusseljee-Peute, L", "url": "http://unknown.com" } }, { "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/10.3389/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/10.1097/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/10.1093/pubmed/fdy171", "content_html": "A growing body of evidence shows the use of digital technologies in health-referred to as eHealth, mHealth or 'digital health'-is improving and saving lives in low- and middle-income countries. Despite this prevalent and persistent narrative, very few studies examine its effects on health equity, gender and power dynamics. This journal supplement addresses these invisible imperatives by going beyond traditional measures of coverage, efficacy and cost-effectiveness associated with digital health interventions, to unpack different experiences of health workers and beneficiaries. The collection of papers presents findings from a cohort of implementation research projects in Africa, Asia, Latin America and the Middle East, and two commentaries offer observations from learning-oriented evaluative activities across the entire cohort. The story emerging from this cohort is comprised of three themes: (i) digital health can positively influence health equity; (ii) gender and power analyses are essential; and (iii) digital health can be used to strengthen upward and downward accountability. These findings, at the individual project level and at the level of the cohort, provide encouraging recommendations on how to approach the design, implementation and evaluation of digital health interventions to address the Sustainable Development Goals agenda of leaving no one behind. SinhaChaitaliCInternational Development Research Centre (IDRC), Ottawa, Canada.Schryer-RoyAnne-MarieAMNairobi, Kenya.engIntroductory Journal ArticleEnglandJ Public Health (Oxf)1011886381741-3842IMDeveloping CountriesFemaleHealth EquityHumansMaleSex FactorsSexismTelemedicineUna cantidad creciente de evidencia muestra que el uso de las tecnologías digitales en la salud, ya sea eSalud (eHealth), mSalud (mHealth) o \"salud digital\", está mejorando y salvando vidas en países de ingresos bajos y medios. A pesar de esta descripción frecuente y persistente, muy pocos estudios analizan sus efectos en la igualdad en materia de salud y las dinámicas de género y de poder. Este suplemento informativo aborda estos imperativos invisibles al ir más allá de las medidas de cobertura tradicionales, la eficiencia y la eficacia en función de los costos asociadas con las intervenciones de salud digital, para desentrañar las diferentes experiencias de los beneficiarios y trabajadores de la salud. Este conjunto de trabajos presenta resultados de una cohorte de aplicación de proyectos de investigación en África, Asia, América Latina y el Medio Oriente; y dos comentarios ofrecen observaciones de actividades de evaluación orientadas en el aprendizaje en toda la cohorte. La historia que surge de esta cohorte comprende tres temas: (i) la salud digital puede influenciar positivamente la igualdad en materia de salud; (ii) los análisis de género y de poder son esenciales; y (iii) la salud digital puede usarse para fortalecer la rendición de cuentas ascendente y descendente. Estos resultados, a nivel de proyecto individual y al nivel de la cohorte, brindan recomendaciones alentadoras acerca de cómo abordar el diseño, la aplicación y la evaluación de las intervenciones de salud digital para examinar la agenda de los Objetivos de Desarrollo Sostenible de no dejar a nadie atrás. Palabras clave: m-Salud, mSalud, eSalud, salud digital, género, igualdad en materia de salud, mujeres, ODS, rendición de cuentas, sistemas de salud De plus en plus d’études révèlent que le recours aux technologies numériques en santé – désignées par les termes cybersanté, santé mobile ou santé numérique – permet de sauver des vies dans les pays à revenu faible ou moyen et d’en améliorer la qualité. Malgré la prévalence et la constance des données, très peu d’études traitent de ses répercussions sur l’équité en santé, la sexospécificité et la dynamique de pouvoir. Le présent supplément se penche sur ces impératifs invisibles et va au-delà des mesures traditionnelles de couverture, d’efficacité et de rentabilité associées aux interventions numériques en santé, afin de lever le voile sur les différentes expériences que vivent les travailleurs de la santé et les bénéficiaires de soins de santé. Ce recueil de textes présente les résultats d’une cohorte de projets de recherche sur la mise en oeuvre menés en Afrique, en Asie, en Amérique latine et au Moyen-Orient, et deux commentaires font part d’observations tirées d’activités d’évaluation axées sur l’apprentissage réalisées dans toute la cohorte. L’analyse des résultats de la cohorte aboutit à trois constats : (i) la santé numérique peut exercer une influence positive sur l’équité en santé; (ii) l’analyse comparative entre les sexospécificités et l’analyse de la dynamique de pouvoir sont essentielles; (iii) la santé numérique peut être utilisée pour renforcer la responsabilisation vers le haut et vers le bas. Ces constats, qu’ils soient liés à chacun des projets ou à l’ensemble de la cohorte, donnent lieu à des recommandations encourageantes quant à la manière d’aborder la conception, la mise en oeuvre et l’évaluation d’interventions numériques en santé, de sorte à réaliser le programme et les objectifs de développement durable consistant à ne laisser personne de côté. Mots clés: santé mobile, cybersanté, santé numérique, sexospécificité, équité en santé, femmes, ODD, responsabilisation, systèmes de santé ", "url": "http://doi.org/10.1093/pubmed/fdy171", "title": "Digital health, gender and health equity: invisible imperatives.", "summary": "Digital health, gender and health equity: invisible imperatives. - Journal of public health (Oxford, England)", "date_modified": "2018-12-01T00:00:00.000Z", "author": { "name": "Sinha, C; Schryer-Roy, AM", "url": "http://unknown.com" } } ] }