No end in sight for double digit health care cost hikes.
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Digital government is typically defined as the production and delivery of information and services inside government and between government and the public using a range of information and communication technologies. Two types of government relationships with other entities are government-to-citizen and government-to-government relationships. Both offer opportunities and challenges. Assessment of a public health agency's readiness for digital government includes examination of technical, managerial, and political capabilities. Public health agencies are especially challenged by a lack of funding for technical infrastructure and expertise, by privacy and security issues, and by lack of Internet access for low-income and marginalized populations. Public health agencies understand the difficulties of working across agencies and levels of government, but the development of new, integrated e-programs will require more than technical change - it will require a profound change in paradigm.
BACKGROUND: Sarcopenia, the progressive loss of muscle mass and function, impairs independence in older adults. Digital health exercise interventions are scalable solutions for older adults with sarcopenia. This systematic review and meta-analysis aimed to synthesize the evidence on their efficacy in populations with clinically diagnosed sarcopenia and identify influential intervention characteristics associated with treatment outcomes. METHODS: We systematically searched PubMed, EMBASE, Web of Science, Cochrane Library, CINAHL, CNKI, and Wanfang on May 20, 2026, with no date restrictions. We included randomized controlled trials involving adults aged ≥60 with sarcopenia receiving digital exercise interventions. Two reviewers independently screened studies, extracted data, and assessed risk of bias; analyses were performed using R and Review Manager. RESULTS: Fourteen trials (n = 927) were included. Digital interventions showed potential improvements in muscle mass (MD = 0.25, 95%CI:0.03-0.46, 95% PI:-0.36 to 0.85), muscle strength (MD = 2.14, 95% CI:1.18-3.11, P < 0.001), balance ability (SMD = 0.31, 95% CI:0.12-0.51, P = 0.001), walking performance (SMD = 0.55, 95% CI:0.21-0.89, 95% PI:-0.70 to 1.79), and physical function (SMD = 0.89, 95% CI:0.08-1.71, 95% PI:-2.33 to 4.12), but not quality of life (SMD = 0.08, 95% CI:-0.19 to 0.35, P = 0.53). Exploratory subgroup analyses suggested that factors such as supervision, program duration, and measurement tools may influence outcomes; however, formal tests for subgroup differences were generally non-significant, and consistent patterns across all metrics were not observed. CONCLUSION: Digital exercise interventions show potential for managing sarcopenia in older adults, though the very low to moderate certainty of evidence indicates that true effects may differ substantially from observed estimates. This review explores potential roles of intervention design, supervision, and multimodal delivery. Future research should adopt rigorous designs and longer follow-up to validate results and enhance clinical application. TRIAL REGISTRATION: PROSPERO CRD420251135174.
BACKGROUND: Digital health tools, such as health chatbots, may improve access to scalable health support, but adoption remains inconsistent. Existing models do not fully integrate technology acceptance factors with health motivation factors relevant to digital health use. OBJECTIVE: This study proposed and tested the health technology acceptance model and examined whether normative message framing and chatbot type were associated with health motivation, technology acceptance, and intention to use a health chatbot. METHODS: In October 2025, we conducted a 4 × 2 between-participants online experiment with 1000 US adults recruited from a nationally representative YouGov panel. Participants were randomized to 1 of 8 conditions varying norm message type (self-oriented, peer-oriented, expert-oriented, or family-oriented) and chatbot type (AI-powered or rule-based) in a cancer prevention and genetic risk information scenario. Outcomes included descriptive norms, injunctive norms, perceived susceptibility, perceived severity, perceived benefits, self-efficacy, perceived ease of use, trust, privacy concerns, and usage intention. Data were analyzed using a multivariate ANOVA with Bonferroni-adjusted post hoc tests and multiple linear regression. RESULTS: Peer-oriented and family-oriented messages produced higher usage intention than expert-oriented messages, and peer-oriented messages also increased descriptive norms, injunctive norms, self-efficacy, and trust. AI-powered chatbots were associated with higher usage intention (P=.02) and greater trust (P=.008) than rule-based chatbots. In regression analyses, the model explained 50.8% of the variance in usage intention. Usage intention was positively associated with descriptive norms (β=0.087; P=.003), injunctive norms (β=0.078; P=.009), perceived susceptibility (β=0.051; P=.03), perceived benefits (β=0.253; P<.001), and trust (β=0.33; P<.001), and negatively associated with perceived severity (β=-0.047; P=.049) and privacy concerns (β=-0.11; P<.001). Perceived ease of use and self-efficacy were not significant predictors. CONCLUSIONS: The health technology acceptance model was a useful framework for explaining the intention to use a health chatbot by combining technology acceptance and health motivation constructs. Both social design features and chatbot design features shaped adoption-related beliefs, with peer-oriented and family-oriented framing and AI-powered chatbots showing particular promise. Trust and privacy concerns remained central determinants of intended use.
BACKGROUND: Burnout and mental distress among nurses are global public health epidemics that adversely affect nurse well-being and healthcare quality. Evidence-based, scalable mental health interventions are urgently needed. AIMS: To evaluate the 3- and 6-month outcomes of a randomized controlled trial (RCT) comparing a psychologically safe, digital mental health screening and referral program alone versus the same screening and referral program combined with the video-based online MINDBODYSTRONG (MBS) cognitive behavioral therapy (CBT)-based skills-building program among nurses at risk for mental distress. METHODS: 501 nurses were recruited from professional organizations and healthcare systems across the United States by email and randomized to either mental health screening and referral (standard care) or standard care plus the MBS cognitive behavioral skills-building intervention (the intervention). All study activities were conducted remotely. Follow-up surveys administered at 3- and 6-months assessed anxiety, depression, suicidal ideation, burnout, healthy lifestyle beliefs, and healthy lifestyle behaviors using valid and reliable scales. RESULTS: Compared with the screening and referral only group, participants in the intervention group had greater reductions in anxiety and depression and significantly greater increases in healthy lifestyle beliefs and behaviors at 3 and 6 months post-intervention. After controlling baseline risk, the intervention group had a lower risk of suicidal ideation than the screening and referral group at 3 months (relative risk ratio [RRR] = 0.717; 95% CI: 0.320-1.606) and 6 months (RRR = 0.329; 95% CI: 0.101-1.072). The intervention group also had a significantly lower risk of burnout at 6 months (RRR: 0.698, 95% CI: 0.528, 0.929, p = 0.012). Nurses who completed more MBS sessions had less suicidal ideation at 6 months and those who completed more MBS skills-building activities had less burnout at 3 and 6 months. LINKING ACTION TO EVIDENCE: Integrating psychologically safe mental health screening combined with the scalable online CBT-based intervention, MBS, can produce sustained improvements in burnout, mental health symptoms, including suicidality, and healthy lifestyle beliefs and behaviors among nurses experiencing mental distress.
The COVID-19 pandemic placed unprecedented pressure on healthcare systems and exposed healthcare workers (HCWs) to biological hazards, organizational pressures, and psychological strain. Evidence generated during the emergency shows that HCW protection cannot rely on isolated measures, but requires an integrated framework combining epidemiological surveillance, contact tracing, infection prevention and control, vaccination, occupational health, and workforce support. Contact tracing helped identify occupational exposures and clarify how duration, proximity, and inadequate use of personal protective equipment jointly shaped infection risk. Subsequent studies of reinfection showed that susceptibility reflected the interaction of viral circulation, individual immunity, and vaccination status. Vaccination reduced the clinical impact of SARS-CoV-2 and supported service continuity, although uptake depended on trust, communication, and management of adverse event concerns. The pandemic also highlighted substantial economic consequences and a high burden of psychological distress and burnout among HCWs. Building on this evidence, future preparedness should translate these lessons into permanent, adaptable infrastructure rather than temporary emergency arrangements, integrating interoperable, AI-assisted surveillance capable of combining occupational, diagnostic, vaccination, and genomic data to detect emerging risks early, while ensuring robust data governance and human oversight. Equally central is the need to address long-term workforce vulnerabilities, including Long COVID, attrition, and burnout, through early identification, rehabilitation, flexible return-to-work models, and sustained psychosocial support. Achieving this requires structured multidisciplinary collaboration among occupational medicine, infection control, epidemiology, mental health, and digital health specialists, moving from fragmented infection-control protocols to an integrated, proactive, and learning-oriented preparedness strategy. Protecting HCWs is therefore not only an occupational safety priority but a foundational prerequisite for safe, equitable, and sustainable healthcare delivery during future infectious threats.
BACKGROUND: For patients with hormone receptor (HR) positive early breast cancer (BC), adjuvant endocrine therapy (ET) represents the cornerstone of treatment. However, 75% of patients experience ET-related symptoms that negatively affect their quality of life (QOL). Despite their high prevalence, these symptoms are often underestimated and under-addressed during consultations. As a result, non-adherence to ET is common and remains a major barrier for optimal disease and survival outcomes. METHODS: National, prospective, randomized, open-label hybrid type 1 effectiveness/implementation trial conducted in France comparing a personalized digital health pathway plus standard of care (SoC) vs. SoC alone in patients with HR+ early BC reporting ET-related symptoms. 180 patients will be randomized 1:1 to receive either 12 weeks of the digital health pathway or 12 weeks of SoC. The intervention is anchored by the Resilience© digital companion including remote symptom and needs assessment, an introductory nurse-navigator phone call, and access to personalized, symptom-specific online educational and self-management programs (physical activity, yoga, meditation or cognitive behavioral therapy). In both arms, patients will be invited to wear a wearable device to objectively monitor behavioral parameters. The primary endpoint is the ET symptoms scale of the European Organization for Research and Treatment of Cancer (EORTC) QLQ-BR45 over 12-weeks. Secondary endpoints include other QOL domains, self-reported ET adherence, eHealth literacy, self-efficacy, and evaluation of the implementation process. DISCUSSION: This study should provide evidence on the effectiveness and real-world implementation of a personalized digital health pathway to improve QOL in patients experiencing ET-related symptoms. TRIAL REGISTRATION: ClinicalTrials.gov NCT06781996; Protocol version 3.0.
Psychologists have a tendency to focus on the negative side of life. Our discipline has become preoccupied with illness rather than health. Where the media are concerned we explore the consequences of unhealthy messages for the population in general or young people in particular. This commentary breaks with tradition by outlining ways in which digital games can enhance health. Positive health consequences of gaming are explored in relation to surgical training and therapeutic interventions, physical exercise, health education and community participation.
OBJECTIVE: Digital health sciences libraries (DHSLs) bring order to the chaos of the Internet by making authoritative medical information easily and conveniently available to patrons. The goal of this project was to perform a baseline usage analysis of the pediatric-related information in a general DHSL and to determine whether reorganization of the pediatric-related information into its own pediatric DHSL could increase the usage of the pediatric-related information. METHODS: From March through August 1997, a baseline analysis of a general DHSL (Virtual Hospital) was conducted using computer server log file analysis programs. The quantity of pediatric-related information in the general DHSL and its baseline usage were determined. In September 1997, the pediatric-related information was reorganized into its own pediatric DHSL (Virtual Children's Hospital), and server log file analyses were conducted of the pediatric DHSL from September 1997 to August 1998. Statistical analysis was performed by time series autoregression. RESULTS: During the baseline, the general DHSL and the pediatric-related information received a monthly average of 2 320 782 and 141 444 qualified hits, respectively. After the intervention, the general DHSL and the pediatric DHSL received a monthly average of 2 765 454 and 256 998 qualified hits, respectively. This is an increase of 19. 2% for the general DHSL and 81.7% for the pediatric DHSL. These changes were statistically significant at the P >.0001 level. The most requested pediatric-related content in the pediatric DHSL did not change substantively from preintervention to postintervention. DISCUSSION: On the Internet, as in real life, children's services must have their own distinct identity and must be differentiated from adult services. Therefore, pediatric-related information will receive increased usage if it is part of a pediatric DHSL rather than part of a general DHSL. Others can use this process and the lessons learned to develop and enhance their own pediatric-related information on the Internet. Internet, pediatrics, digital health sciences libraries, digital library, medical library.
What is the organizational impact of becoming a digital library, as well as a physical entity with facilities and collections? Is the digital library an add-on or an integrated component of the overall library package? Librarians see sweeping environmental and technological changes. The staff members feel exhilarated and challenged by the pressures to adapt quickly and effectively. Librarians recognize that a Web presence, like other technology components, must be continuously enhanced and regularly re-engineered. The Health Sciences Library, University of North Carolina at Chapel Hill, is reinventing its digital presence to better meet the needs of the community. This paper provides a case study focusing on major changes in planning processes, organizational structure, staffing, budgeting, training, communications, and operations at the Health Sciences Library.
Personal health care has obtained increasing importance in the field of health care as the populations' age in the industrialised countries and resources available for health care remain limited. Personal health care through digital television is an exiting possibility in the realisation of new types of services answering to this demand for increased personal action and responsibility in health care. The possibilities of digital television in health care are studied in the Health Care Television (HCTV) research project of the Digital Media Institute at Tampere University of Technology. In this paper personal health care services are studied mainly from the perspective of the interactive service infrastructure of digital television. Firstly we present the general infrastructure of digital television and the different interactive service types of digital television. The usage of these service types in personal health care applications is also discussed. Finally, a web-based application based on chronic atrial fibrillation and its test use is presented. The application is used as a research platform for personal health care applications in digital television.
BACKGROUND: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with an active trial landscape that relies on the sensitivity of selected clinical trial endpoints. Traditional clinical outcome assessments perform well in trials but lack strong psychometric properties and may not detect small but clinically meaningful disease progression. Digital health technologies offer a promising alternative for tracking ALS disease progression. OBJECTIVE: This study assessed the feasibility of remote digital monitoring in ALS using a comprehensive battery of prescribed home-based assessments via a smartphone, a wearable device, and a computer-based mouse-clicking task. METHODS: Participants completed weekly remote assessments, including motor and speech tasks via a smartphone app and a computer mouse-clicking task for 24 weeks. They also participated in 3 remote telephone visits in weeks 1, 13, and 25. Reliability, minimal detectable change, and correlations with self-reported ALS Functional Rating Scale-Revised subdomain scores were calculated for 8 features across the speech, fine motor, and gross motor smartphone app tasks and for all 32 features from the computer mouse-clicking task. Sensitivity to longitudinal change was assessed for the 8 smartphone-derived features and for a representative subset of 8 computer mouse-clicking features. RESULTS: Forty-two participants (19 with ALS and 23 controls) completed 10,237 smartphone assessments and 459 computer mouse-clicking sessions. Baseline discriminative models differentiated ALS from controls with AUC values of 0.75-0.92. Digital measures correlated strongly with self-reported ALS Functional Rating Scale-Revised subdomain scores. Both participants with ALS and controls demonstrated improvement in fine motor and speech measures, with the exception of nondominant-hand pegboard performance, which declined in the ALS group. Improvements were smaller in participants with ALS, leading to increasing group differences over time, although only one feature showed a statistically significant separation over the 24 weeks. Gait and balance performance declined in both groups, with greater but nonsignificant separation observed for balance measures. CONCLUSIONS: These findings support the feasibility of digital remote assessments in ALS, demonstrate the ability to discriminate between ALS and controls based on certain features collected from speech, fine, and gross motor tasks, and in some cases, quantify functional decline over time. Further research is necessary to explore the natural history of these features longitudinally in larger cohorts of participants with ALS over extended periods to enable their potential integration into clinical trials.
The health check up flow of digital hospital can be consulted with the assembly line of industry factory. Because they have the following same features: highly specialized workstation, closeness and continuance, rhythm, balanced production, continuous production. The essential prerequisites are as the follows: The inspecting items and methods should be stable; advanced product mix and stable production design; standardized raw material, consumption, procedure, inspection method; there are lots of request for health inspection; the customers move at the least unit; the space arrangement should be reasonable; the time arrangement should be proportion. With the computer net, the digital inspection can achieves the raw material controlling accurately. The basis of check up line concerns about equipment, net and software, data collection, and personnel. The group technology is used in the health inspection flow design of the digital hospital in the field of items customers and zone redivided. The digital assembly linemic health inspect has the following stages: member registering, notice, check in, arrange order, time control, report, feedback and analysis. The assembly linemic has following advantages: increasing the productivity, the space utility, satisfaction of customer, fund returning, lowering the cost and ensuring the quality.
As part of a digital health sciences library's continuous quality improvement process, a digital textbook of common medical problems was created which contained links to authoritative medical information on the Internet for patients and health care providers. The accomplishments of this project were the: 1) Identification of 50 common medical problems, 2) Development of a methodology for identifying authoritative medical information related to these problems, 3) Creation of a digital textbook containing links to this information with a problem-based interface, 4) Development of a methodology to allow local peer review of this information, and 5) Evaluation of the use of the information and the local peer review methodology.
BACKGROUND: Urbanization, the shift of a growing population into urban areas, is shaping global development across infrastructure, health, and sustainability. Although it brings economic growth, innovation, and improved access to services, it may also impact mental health. METHODS: The present article was prepared on behalf of the European Psychiatric Association and explores the complexity of associations between urbanization and mental health, highlighting both potential risks and opportunities for improvement. RESULTS: Urban growth often leads to increased population density, social fragmentation, and environmental stressors, including noise, pollution, and reduced green spaces, all of which might account for worsening mental health. Urban residents might be at risk of various mental disorders due to these stressors, accompanied by the risk of social disconnection. Moreover, socioeconomic disparities in urban settings can lead to unequal healthcare access, further contributing to these challenges. However, urbanization also offers unique opportunities to improve mental health through better resource allocation, innovative healthcare solutions, and community-building initiatives. Indeed, cities might serve as areas for mental health promotion by integrating mental health services into primary care, utilizing digital health technologies, and fostering environments that promote social interactions and well-being. Urban planning that prioritizes green spaces, safe housing, and accessible public transportation holds the potential to mitigate some risks related to urban living. CONCLUSIONS: While urbanization presents significant challenges to mental health, it also provides grounds for transformative interventions. Addressing the mental health needs of urban populations requires a multifaceted approach that includes policy reform, community engagement, and sustainable urban planning.
In response to double-digit health care cost increases, leading employers are aiming aggressive strategies at changing participant and provider behaviors--strategies that go well beyond the narrow idea of a new cost-sharing design. This article describes the elements of a comprehensive consumer-driven health care strategy and provides examples of tangible consumer-driven health care initiatives in the areas of design, pricing, contracting, support and public policy.
Excessive smartphone use is increasingly recognized as a public-health concern, yet scalable approaches to help individuals regulate daily use remain limited. We examine whether allowing individuals to self-select reduction goals improves behavioral and psychological outcomes when incentives and average goal levels are held constant across conditions. In a twelve-week randomized controlled trial, (N = 149; over 9000 person-day observations), participants were assigned to (i) a self-selected condition (choosing a 10%, 20%, or 30% reduction in daily phone use), (ii) an assigned condition (assigned a 14% reduction goal), or (iii) a no-goal control condition. Participants who selected their own goals reduced phone use by 26 min more per day (73% larger reduction) and achieved their goals 11 percentage points more often than those assigned goals, despite identical incentives and average goal levels. Reductions in phone use and higher goal achievement were associated with improvements in perceived addiction, depressive, and anxiety symptoms. These psychological outcomes were secondary endpoints. Although the between-group estimates generally followed the same directional pattern as the behavioral outcomes, the sample size for these analyses was limited and the between-group differences were not statistically significant. These findings should therefore be interpreted with caution. Overall, the results provide causal field evidence that self-selection under this goal-setting design can improve behavioral outcomes. Allowing individuals to choose their own goals may strengthen engagement and support healthier digital behavior. Incorporating opportunities for goal-selection may represent a simple addition to digital-health and public-health interventions aimed at helping individuals moderate smartphone use and improve well-being.