Digital Arts and Health

Digital health technology provides opportunities to leverage artificial intelligence and other digital applications to promote cardiovascular health. Digital health technologies include artificial intelligence (such as machine learning [ML], neural networks),1 analytic systems, mobile apps, wearables, email, text messaging, and telemedicine.2 In this article, we review the role of digital technology in cardiovascular health and a selection of recent studies to evaluate the evidence of its effectiveness. Artificial intelligence is broadly defined as the capability of computer systems to perform tasks similar to humans.3 Examples include vision, speech, pattern recognition, and decision making. Machine learning is the ability of the computer program to learn from experience. This typically occurs from analysis of large sets of data processed through human-derived algorithms to enhance, predict, and explain outcomes.4 An example of the use of ML in clinical care is cardiovascular disease (CVD) prediction and electrocardiographic interpretation. Neural networks, named after the human nervous system, are nonlinear statistic models that control where signals are sent. Neural networks can be used for decision making such as cardiovascular diagnosis confirmation. Digital Technology Use in Cardiovascular Risk Assessment Several studies have demonstrated improved CVD risk factor identification using ML compared with traditional risk assessment tools. Researchers developed an ML risk calculator and compared it with the American College of Cardiology/American Heart Association CVD risk calculator in 6459 participants from the Multi-Ethnic Study of Atherosclerosis.5 Study participants were free of CVD at baseline and followed for 13 years. Results revealed that the American College of Cardiology/American Heart Association risk calculator was less precise: statin therapy was recommended to 46% of the sample, with 23.8% of CVD events occurring in those not recommended a statin. In comparison, the ML risk calculator recommended a statin to 11% of the sample, with 14.4% of CVD events occurring in those not recommended a statin.5 Similarly in 3 cohorts from Australia, 4 ML models were developed and compared with the 2008 Framingham model. The ML models provided 2.7% to 5.2% better predictions across all 3 cohorts.6 Taken together, the authors of these studies suggest ML provides promise in providing more precise estimates of CVD risk. Digital Health Interventions for Cardiovascular Disease Prevention Digital health interventions have the potential to provide a personalized approach to promote cardiovascular health. Behavior change theory is a key component of digital interventions and includes theoretical frameworks such as supportive accountability,7 self-efficacy theory,8 social cognitive theory, and the health belief model.9 Precision healthcare has been promoted for decades. Many of the challenges in operationalizing precision healthcare are healthcare accessibility, scheduling, care continuity, and inadequate knowledge exchange between provides and patients.10 Thus, promotion of healthy lifestyles and lifestyle risk factor reduction remain inadequately addressed in patients with CVD.11 To achieve sustainable change, individual-level personalized strategies may be leveraged through digital health interventions. Evidence of the effectiveness of digital health interventions has varied but is promising overall. Text messaging has been successfully used to provide information regarding healthy diet and physical activity recommendations, monitoring, and individual feedback. Text messaging has resulted in improvements in diet and activity in many (TextMe,12 Mobile MyPlate,13 MyQuest,14 Text-To-Move15), but not all studies.16 Smartphone/mobile apps have been designed to improve dietary and physical activity behavior. Examples include apps that track dietary patterns and activity through user input of text or visual images.17,18 Users can set their own goals and receive feedback on progress toward goals. Reviews of smartphone apps have had variable results with many demonstrating short-term improvement. Villinger et al19 conducted a systematic review and meta-analysis of the effectiveness of mobile app interventions on nutrition behaviors (41 studies, 27 randomized controlled trials [RCTs]). Findings revealed significantly improved nutrition behaviors and nutrition-related outcomes (P = .004 and P = .043, respectively). A second systematic review of 27, primarily RCTs, found significant between-group improvements in 19 of the 27 studies.20 A meta-analysis of 6 RCTs in adults using a smartphone app as the primary component of the intervention revealed a trend for more steps per day in the intervention compared with the control groups, with programs lasting less than 3 months more effective than longer programs.21 Taken together, text messaging and smartphone/mobile apps have the potential to improve lifestyle behaviors associated with cardiovascular health. The addition of strategies to increase sustainability of the effects needs to be assessed. Digital Health Interventions: Primary and Secondary Prevention Widmer et al2 conducted a meta-analysis of 51 RCTs and cohort studies using digital health interventions for the prevention of CVD events and risk factor modification. Subgroup analyses of primary prevention studies (2 studies) did not provide evidence of a statistically significant reduction in CVD outcomes. However, evaluation of individual risk factors in primary prevention studies found a significant reduction in weight (11 studies; −3.35 lb), systolic blood pressure (23 studies; mean difference, −2.12 mm Hg), total cholesterol (13 studies; mean difference, −5.19 mg/dL), low-density lipoprotein cholesterol (8 studies; mean difference, −4.96 mg/dL), and glucose (6 studies; mean difference, −1.38 mg/dL).2 A subgroup analysis of secondary prevention studies demonstrated a significant impact of digital interventions on CVD outcomes (relative risk, 0.60; a 40% relative risk reduction), improvement in body mass index (6 studies; mean difference, −0.31 kg/m2) but no improvement in weight, systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, and glucose. Taken together, this meta-analysis suggested that digital interventions were beneficial not only in lowering CVD events in higher-risk patients but also in lowering risk factors in primary prevention approaches.2 In a second meta-analysis conducted by Akinosun et al,11 researchers analyzed 25 RCTs in patients with traditional CVD risk factors who received a digital intervention versus usual care.11 Findings revealed benefits in total cholesterol (mean difference, −0.29), high-density lipoprotein cholesterol (mean difference, −0.09), low-density lipoprotein (mean difference, 0.18), physical activity (mean difference 0.23), physical inactivity (relative risk, 0.54), and diet (relative risk, 0.79). There was no significant improvement in body mass index, systolic and diastolic blood pressure, hemoglobin A1C, alcohol intake, smoking, and medication adherence. Authors concluded that digital interventions were more effective at improving healthy behaviors than reducing unhealthy behaviors. In patients who experienced a myocardial infarction, a digital health intervention providing medication reminders, vital sign and activity tracking, education, and outpatient care coordination resulted in a 52% lower 30-day readmission rate compared with usual care.22 Sociodemographic characteristics (age, sex, and race) did not influence use of the digital intervention, highlighting a potential role for digital interventions in the promotion of equity in social determinants of health.23 Digital Health Interventions in Cardiac Rehabilitation Cardiac rehabilitation is an essential component of secondary prevention of CVD.24 Some patients face barriers in participation in cardiac rehabilitation due to physical accessibility, time, and travel.25 Digital health interventions have the potential to bridge these barriers and increase participation. Digital delivery of cardiac rehabilitation therapy with real-time personalized support has several advantages.26 In a systematic review of 31 studies in which authors examined digital health interventions for cardiac rehabilitation, the results revealed that cardiac rehabilitation program adherence was greater in patients using digital interventions than traditional methods alone. Secondary benefits were found in self-efficacy, weight management, diet, and quality of life. Taken together, digital cardiac rehabilitation was feasible and effective whether used alone or in combination with traditional cardiac rehabilitation.26 Conclusion Digital health technology is an evolving field with tremendous potential to improve cardiovascular health. Cardiovascular disease remains the major cause of death in the United States. The age-adjusted mortality rate has increased in the last decade. More people died from CVD causes in 2020 (nearly 900 000 deaths) than any year since 2003.27 Opportunities to reduce CVD and CVD risk have not been fully leveraged, and digital technology interventions have the potential to meet this need. Digital health technology also has the potential to provide equitable and personalized care. Device data, electronic medical record data, and social determinants of health data provide an opportunity to combine and identify longitudinal trends and risk factors before CVD begins. In the future, large data sets can be created that can be analyzed using ML to identify patterns and structures within and among the data to provide a more robust risk assessment to promote CVD prevention.

In a broad sense, digital art is contemporary art using mass production or digital media methods. Data can be operated in various ways and stored in the database, and applied in various environments and various disciplines. Long distance information transmission technology has changed the way people participate in artistic activities. Art works begin to have not only interactive and non-material characteristics, but also break the limitations of time and space. The most prominent feature of digital interactive art is digital and interactive. Digital art works must fully or partially use digital technology in the implementation process. Digital art can be purely computer-generated, or draw images through mouse markers and drawing boards by scanning photos or using vector graphics software. This article is based on 3D digital interactive technology, using comparative analysis, document analysis and other methods to study the creative painting automatic design system, with a view to perfecting the structure of the creative painting automatic design system, improving the level of artistic design, and designing more creative and meaningful designs. Digital painting works. The thesis first sorts out the application status of 3D digital interactive technology in the field of contemporary art, then compares the similarities and differences between traditional art works and 3D digital interactive technology artworks, emphasizes the multi-dimensional interactive logic of 3D digital interactive technology art works, and then analyzes 3D digital The main morphological characteristics of interactive art make a reasonable argument for the realization of complementary advantages after the automatic design system of creative painting is integrated into 3D digital interactive art.

Childhood obesity is a worldwide public health problem that increases the risk of chronic diseases. In 2016, more than 340 million children and adolescents aged 5 to 19 years were living with overweight or obesity. To assess the effects and safety of interventions using digital technology - that is, interventions applied to achieve health objectives implemented within any digital application, communication, or system - for the integrated management of obesity in children and adolescents. Specifically, to assess the effects of digital interventions in the management of obesity in children and adolescents when used: - in combination with conventional care compared to conventional care alone; and - alone compared to conventional care alone. We searched CENTRAL, MEDLINE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and two major trials registers to identify the studies included in this review. The date of the last search was 14 April 2025. We did not apply any language restrictions. We included randomized controlled trials conducted in children (0 to 9 years old) and adolescents (10 to 19 years old) living with obesity, as defined by World Health Organization (WHO) Growth References. We included trials using the following digital health interventions for managing obesity: 'wearable' or implantable devices, web-based interventions, text messages, mobile phone or tablet applications, 'exergaming' or active video gaming, and telehealth. Participants in the comparison groups received conventional care or an intervention without a digital/technological component. Working independently, two review authors extracted data, assessed the studies' risk of bias using Cochrane's original risk of bias tool, and evaluated the certainty of the evidence using GRADE criteria. The following outcomes were extracted: anthropometry (body mass index [BMI], weight, skinfolds, waist-to-hip ratio, waist circumference), adiposity, physical activity, physical and mental well-being, quality of life, blood pressure, adverse events associated with the interventions, presence of obesity co-existing complications, obesity-associated disability, hyperinsulinemia, insulin resistance, glycemia, lipid metabolism or adipogenesis, lipid hormones, alterations in hunger or satiety, reduced disability in any of the functionality domains, mortality, prevalence of obesity in adulthood, and access to health services. We included 15 studies involving 911 participants, conducted in the USA (five studies), Sweden (three studies), and one each in Canada, China, Ireland, Italy, South Korea, Switzerland, and Thailand. All studies involved participants aged 10 to 19 years old, with 10 exclusively focusing on this age group. Five studies also included younger children (0 to 9 years). Eight studies included both diet and physical activity components, four studies included only a physical activity component, and three included only a diet component. We classified nine studies as short duration (< six months) and six as long duration (six or more months). Nine trials did not specify the theoretical basis of their intervention. We grouped the studies into two comparisons: (1) digital health technology plus conventional care versus conventional care alone; and (2) digital technology alone versus conventional care alone. Digital interventions combined with conventional care versus conventional care alone (8 studies) Digital interventions led to a slightly lower, but clinically meaningful, fat mass at the end of the study (mean difference -2.63%, 95% confidence interval -4.47 to -0.78; 3 studies, 203 participants; moderate-certainty evidence). The effect of digital interventions plus conventional care on other important outcomes reported was unclear. No studies reported adverse event data. Digital interventions alone compared to conventional care alone (7 studies) The effect of digital interventions alone on any of the outcomes reported was unclear. No studies reported adverse event data. Digital interventions plus conventional care may have a small, short-term beneficial effect on fat mass in children and adolescents compared to conventional care alone. The effect on other outcome measures is unclear. The long-term clinical benefit in children and adolescents is difficult to assess due to the limited number of studies with relatively small sample sizes included in this review. Future studies should: report their results by age, gender, and race/ethnicity; report full data to better enable data extraction and analysis; assess other important outcomes, particularly adverse events; control for both diet and physical activity in their analyses; and report the behavioral theory informing their intervention.

Access to quality healthcare remains a challenge in low-and middle-income countries. Vulnerable populations with unmet needs face the greatest challenge in accessing primary care for appropriate and timely healthcare. The use of digital technologies can not only strengthen health systems but also improve access to health care, particularly for the vulnerable. This scoping review aims to assess the various digital health technologies and interventions available for improving access to primary care for the vulnerable in India. This scoping review employed the Joanna Brigg Institute's (JBI) guidelines and Arksey and O'Malley's methodological framework. The literature search was conducted in Medline/PubMed, Embase, Web of Science-Core Collection, Scopus, AgeLine, PsycINFO, CINAHL, ERIC, Cochrane CENTRAL, and Cochrane Effective Practice and Organisation of Care (EPOC) Group Specialised Register databases, using the keywords, such as 'Access', 'Healthcare', 'Assistive technology', 'Digital health' 'Vulnerable', 'India' and 'Healthcare technology'. A two-staged screening of titles and abstracts, followed by full-text was conducted independently by two reviewers, using the Rayyan software. Subsequently, the data was extracted from selected studies using a pre-designed and approved extraction form. The data was then synthesised and analysed narratively. The protocol for this review has been registered with open science forum (OSF) registries (https://osf.io/63pjw/). The search yielded about 3840 records, 3544 records were eligible for screening of titles and abstracts. We included seven studies after a two-round screening and identified seven different technological innovations developed to bridge gaps in access to primary care. The commonly used digital health interventions for improving access to primary care were virtual tele-health systems and mHealth applications in-built within an android smartphone or a tablet. Digital health interventions was either used as a standalone tele-health aid or a collaborative system for community workers, primary care physicians as well as the health service users. The purpose of these innovations was to increase awareness and knowledge to access support for specific aspects of healthcare. Virtual primary health care with the specialist in the hub supporting general physicians at the primary health centres in blocks and districts was another such model used for improving access to primary care. Digital health interventions was also used for mass community screening of disabilities, such as persons with hearing disability. To re-imagine a digitally empowered health systems in India, also inclusive of the vulnerable, it is important to inclusively conceptualise, systematically develop and rigorously evaluate any public health interventions including those that are enabled by digital health interventions to bridge the gaps in access to primary care in India. Such a strategy could address the paucity of evidence in public health interventions and provide sustainable strategies to strengthen health systems in India. Trial registration: Open Science Framework-Registration Link: https://osf.io/63pjw/.

There are dynamic interactions between (digital) technologies and society. Digital technologies have a(re-)structuring effect on social relationships and social innovations in avariety of ways. Because of these characteristics, technological innovations affect our individual lifestyles and living environments. In particular, the development and implementation of interventions with digital (health) technologies is attracting increasing national and international attention (e.g. telematics GP consultations and app-supported patient education programs).Digital health technologies enable new forms of interaction and knowledge-based reproduction in the field of health. The integration of potential users in the development process of digital health technologies and interventions requires the discussion of new research approaches. The interests, needs, and requirements of users may influence the nonuse of digital health technologies. It is above all the successful implementation, involving potential users, that can have an influence on acceptance and integrative use in the later course of care. The discourse on the participatory development and implementation of interventions with digital health technologies in the field of digital public health presents itself as acomplex process characterized by various theoretical approaches and methodological procedures and requiring representation, evaluation, and classification.

BackgroundRapid developments and implementation of digital technologies in public health domains throughout the last decades have changed the landscape of health delivery and disease prevention globally. A growing number of countries are introducing interventions such as online consultations, electronic health records, or telemedicine to their health systems to improve their populations’ health and improve access to health care. Despite multiple definitions for digital public health and the development of different digital interventions, no study has analyzed whether the utilized technologies fit the definition or the core characteristics of digital public health interventions. A scoping review is therefore needed to explore the extent of the literature on this topic.ObjectiveThe main aim of this scoping review is to outline real-world digital public health interventions on all levels of health care, prevention, and health. The second objective will be the mapping of reported intervention characteristics. These will include nontechnical elements and the technical features of an intervention.MethodsWe searched for relevant literature in the following databases: PubMed, Web of Science, CENTRAL (Cochrane Central Register of Controlled Trials), IEEE (Institute of Electrical and Electronics Engineers) Xplore, and the Association for Computing Machinery (ACM) Full-Text Collection. All original study types (observational studies, experimental trials, qualitative studies, and health-economic analyses), as well as governmental reports, books, book chapters, or peer-reviewed full-text conference papers were included when the evaluation and description of a digital health intervention was the primary intervention component. Two authors screened the articles independently in three stages (title, abstract, and full text). Two independent authors will also perform the data charting. We will report our results following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist.ResultsAn additional systematic search in IEEE Xplore and ACM, performed on December 1, 2021, identified another 491 titles. We identified a total of 13,869 papers after deduplication. As of March 2022, the abstract screening state is complete, and we are in the state of screening the 1417 selected full texts for final inclusion. We estimate completing the review in April 2022.ConclusionsTo our knowledge, this will be the first scoping review to fill the theoretical definitions of digital public health with concrete interventions and their characteristics. Our scoping review will display the landscape of worldwide existing digital public health interventions that use information and communication technologies. The results of this review will be published in a peer-reviewed journal in early 2022, which can serve as a blueprint for the development of future digital public health interventions.International Registered Report Identifier (IRRID)DERR1-10.2196/33404

BackgroundAn estimated 1 in 5 adolescents experience a mental health disorder each year; yet because of barriers to accessing and seeking care, most remain undiagnosed and untreated. Furthermore, the early emergence of psychopathology contributes to a lifelong course of challenges across a broad set of functional domains, so addressing this early in the life course is essential. With increasing digital connectivity, including in low- and middle-income countries, digital health technologies are considered promising for addressing mental health among adolescents and young people. In recent years, a growing number of digital health interventions, including more than 2 million web-based mental health apps, have been developed to address a range of mental health issues.ObjectiveThis review aims to synthesize the current evidence on digital health interventions targeting adolescents and young people with mental health conditions, aged between 10-24 years, with a focus on effectiveness, cost-effectiveness, and generalizability to low-resource settings (eg, low- and middle-income countries).MethodsWe searched MEDLINE, PubMed, PsycINFO, and Cochrane databases between January 2010 and June 2020 for systematic reviews and meta-analyses on digital mental health interventions targeting adolescents and young people aged between 10-24 years. Two authors independently screened the studies, extracted data, and assessed the quality of the reviews.ResultsIn this systematic overview, we included 18 systematic reviews and meta-analyses. We found evidence on the effectiveness of computerized cognitive behavioral therapy on anxiety and depression, whereas the effectiveness of other digital mental health interventions remains inconclusive. Interventions with an in-person element with a professional, peer, or parent were associated with greater effectiveness, adherence, and lower dropout than fully automatized or self-administered interventions. Despite the proposed utility of digital interventions for increasing accessibility of treatment across settings, no study has reported sample-specific metrics of social context (eg, socioeconomic background) or focused on low-resource settings.ConclusionsAlthough digital interventions for mental health can be effective for both supplementing and supplanting traditional mental health treatment, only a small proportion of existing digital platforms are evidence based. Furthermore, their cost-effectiveness and effectiveness, including in low- and middle-income countries, have been understudied. Widespread adoption and scale-up of digital mental health interventions, especially in settings with limited resources for health, will require more rigorous and consistent demonstrations of effectiveness and cost-effectiveness vis-à-vis the type of service provided, target population, and the current standard of care.

Rapid developments and implementation of digital technologies in public health domains throughout the last decades have changed the landscape of health delivery and disease prevention globally. Many countries introduce digital interventions to their health systems to improve their populations’ health and make access to health care more accessible. Despite multiple definitions for digital public health and the development of different digital interventions, no study has analysed whether the used technologies fit the definition and the core characteristics of digital public health interventions. Digital public health for us means using digital tools to achieve public health goals. We conducted a scoping review to map the characteristics of digital public health interventions, see how the understanding of specific interventions differs between countries, and how they fit in the theoretical framework of digital public health definitions. Our review is the first to display the landscape of worldwide existing digital public health interventions that use information- and communication technologies. The study’s protocol was published in March 2022 in JMIR Research Protocols (DOI 10.2196/33404). We searched five databases (PubMed, Web of Science, CENTRAL, Ieee, and ACM) for publications. Given the broad search string, we retrieved 13,869 results screened for eligibility. A total of 1,429 publications were included for full-text screening. The study showed that the terms for specific interventions are related to the context in which they are used. Scandinavian countries displayed a different understanding of electronic health records (EHRs) than South American countries. We also identified that the separation between digital health and digital public health is blurry in praxis. Although interventions such as EHRs target individuals to improve their health, the collected data can also be pooled to allow research and the development of interventions on a public health level.Key messages• When comparing interventions internationally, it’s best to compare based on the characteristics of the intervention rather than on the name.• Although, in theory, the distinguishment between digital health, digital public health, and public health became more precise in recent years, the practical reality between them remains still blurry.

The advent of the digital age has given new forms and new connotations to artistic creation, and more and more digital media technologies have entered the stage of artistic creation and exhibitions. At present, holographic projection technology has become a hot application technology in the field of digital media art. The purpose of this paper is to explore the technical principles of holographic projection technology and its application in the field of digital media art, so as to provide suggestions for the application and promotion of holographic projection technology and the development and innovation of digital media art. First of all, this article understands the technical principles of holographic projection and its application status in various fields, especially in the field of digital media art, through relevant literature research. Then, this article introduces the digital holographic technology, virtual imaging technology, and computer simulation technology used in the realization of holographic projection technology. Then, based on the advantages of holographic projection technology in three‐dimensional image recording and reproduction, this paper proposes to introduce holographic projection technology to digital art museums, digital art exhibitions, and other digital media art applications and to study the effect of holographic projection technology on art through simulation experiments, the effect of recording and reproducing the image of the work. Finally, the three‐dimensional reconstruction image of the digital holographic projection experiment on the artwork is compared with the simulated image of the Contour GT profiler to verify the feasibility of applying the holographic projection technology to art exhibitions and the effect of three‐dimensional image recording and reproduction. Research shows that the holographic projection technology can achieve 93.34% of the simulation effect of recording and reproducing 3D images of artworks. It is also found that 59.86% of the audience who pay attention to the art experience strongly support the application of holographic projection technology in digital media art fields such as digital art gallery. This fully proves the feasibility of applying holographic projection technology to digital art exhibitions and provides a full range of artistic experience for audiences who cannot be present.

Digital media technology has developed rapidly under the background of modern development. It has entered a stage of innovation and transformation, which has had a certain impact on digital art, and presented a trend of integration and development of intelligent digital technology and media art. Based on this, this article first briefly explained the main content and characteristics of digital media technology, and proposed the direction and ways of intelligent integration. The focus of this study is to explore the convergence point of digital media technology and media art according to the development of existing technologies. Under the background of the information age, accelerating the integration of digital media technology and media art can deepen the application of technology and expand the media art forms. Therefore, the integration of the two is inevitable for the development of the times.

Has traditional medicine had its day? The need to redefine academic medicine

BackgroundDigital health is a growing field, and many digital interventions have been implemented on a large scale since the COVID-19 pandemic, mainly in primary health care (PHC). The development of digital health interventions and their application in PHC are encouraged by the World Health Organization. The increased number of published scientific papers on this topic has resulted in an overwhelming amount of information, but there is no overview of reviews to summarize this evidence.ObjectiveThis study aims to provide policy makers, health managers, and researchers with a summary of evidence on digital interventions used in PHC.MethodsThis overview of reviews searched the Web of Science and MEDLINE databases for systematic and scoping reviews on assessments of digital technologies implemented in PHC published from January 2007 to March 2023. Only reviews that addressed digital interventions whose targets were real patients or health care providers (HCPs) were included.ResultsA total of 236 records were identified from the search strategy, of which 42 (17.8%) full-text papers were selected for analysis, and 18 (7.6%) reviews met the eligibility criteria. In total, 61% (11/18) of the reviews focused their analysis on specific digital health interventions (client-to-provider telemedicine, provider-to-provider telemedicine, health worker decision support systems, systems for tracking patients’ health status, client participation and self-care platforms, and provision of education and training to health workers), and 39% (7/18) of the reviews focused on specific topics related to PHC (preventive care, chronic disease management, behavioral health disorders, the COVID-19 pandemic, multicomponent PHC interventions, and care coordination). Most studies in the included reviews agreed on barriers to implementation, such as software and apps developed without involving end users, the lack of training of HCPs and patients in digital technology use, and the lack of reimbursement and billing strategies for remote consultations. However, they showed several mixed results related to health service quality and patients’ clinical conditions and behavior changes.ConclusionsResearch in digital health applied to PHC is still concentrated in high-income countries, mainly in North America and Europe. The mixed results related to health service quality and patients’ clinical conditions or behavior changes may have been caused by deficiencies in the process of implementing digital interventions. It is necessary to examine the entire impact pathway and the causal relationship among implementation, health service quality, and clinical condition outcomes to support the spread of digital health in PHC settings.

Digital health interventions for COVID-19 in China: a retrospective analysis

From prehistoric cave paintings to contemporary digital creations, art has been integral to human expression throughout history. Digital art in modern art gradually includes various forms, such as Painting, sculpture and animation, using technology as its medium. Digital art includes any artistic work using digital technology, including Painting, 3D modelling, and interactive installations. It combines human creativity with computer technology, expanding the possibilities of creative expression. Studying digital artistry in India provides insights into cultural preservation, technological innovation, and social commentary. It promotes educational development and economic opportunities, contributing to the country's vibrant artistic scene. Technological advancements have democratized digital art creation in India, leading to diverse artistic expressions. Integrating digital art with emerging technologies like AR, VR, and NFTs opens up new possibilities for artistic exploration and dissemination. Digital art techniques include digital Painting, vector art, and 3D modelling, facilitated by hardware such as graphics tablets and software such as Adobe Creative Cloud. Brushes, textures and plugins enhance the creative process, while photo manipulation and 3D sculpting provide new avenues for artistic expression. Digital artistry in India offers insights into cultural dynamism, technological innovation and artistic development. This research paper delves into the evolving landscape of digital artistry in India, exploring various techniques, trends, and the socio-cultural impact of digital art in the country.

Digital health technologies have been enhancing the capacity of healthcare providers and, thereby, the delivery of targeted health services. The Southeast Asia Region (SEAR) has invested in strengthening digital public health. Many digital health interventions have been implemented in public health settings but are rarely assessed using the holistic health technology assessment (HTA) approach. A systematic literature review was performed to provide an overview of evaluations of digital public health interventions in the World Health Organization (WHO) SEAR. Searches were conducted on four electronic databases. Screening title abstracts and full texts was independently conducted by two reviewers, followed by data extraction. Dimensions of HTA were analyzed against the EUnetHTA Core Model 3.0. Quality assessment of included articles was conducted using the JBI Checklist for Economic Evaluation and Consolidated Health Economic Evaluation Reporting Standards 2022 checklist to assess the reporting quality. The findings are presented using systematic evidence tables and bar charts. Of the forty-three studies screened at the full-text stage, thirteen studies conducted across six countries were included in the analysis. Telemedicine and m-health interventions were assessed in ten studies. Nine studies conducted cost-effectiveness analysis, and five assessments were conducted from a societal perspective. Four studies utilized more than one perspective for the assessment. Health problem definition and current use of technology, description and technical characteristics of the technology, clinical effectiveness, costs, economic evaluation, and organizational aspects were assessed by all the studies, whereas legal aspects were least assessed. The lack of HTAs on digital public health interventions in the region highlights the need for capacity-building efforts.