In Canada, chronic disease is responsible for 88% of deaths and $120 billion in cost each year. With 44% of Canadian adults living with at least one chronic condition, only 66% receive necessary care. Ehealth interventions are instrumental in chronic disease management (CDM), especially since the pandemic, as they provide accessible, cost-effective solutions for self-management. Despite its promise and accelerated use, its implementation remains challenging. This paper reports on a realist review of critical factors for the implementation of eHealth interventions relevant to conditions such as heart failure, chronic obstructive pulmonary disease, chronic kidney disease, and diabetes. The findings are presented in terms of context, mechanisms, and outcomes.

A realist review of the primary literature was conducted by searching five databases: Medline, Embase, Cochrane, CINALH and PsycInfo. The initial search was run for a date spanning from the databases' inception to September 2018 and subsequently updated to dates spanning from October 2018 to May 2022. A systematic and iterative approach to data extraction was used. Thematic analysis was used to identify context-mechanism-outcome (CMO) configurations.

Among the 13,209 citations retrieved, 64 articles were included. This paper reports the top ten configurations found to facilitate or hinder eHealth implementation. Key themes related to context, such as team-based care, and action, including program use, perceived usefulness and motivation, are reported.

This study explores the role of context, mechanisms, and outcomes in ehealth implementation, highlighting the nonlinear relationships between these factors. Future implications include empirical testing CMOs as middle-range theories in real-world settings to determine causality.

The review protocol was registered with PROSPERO (CRD42020208275) on 1 October 2020.

Our review examines the operational dynamics and effectiveness of integrated healthcare models in Australia, focusing on their relevance for older rural adults with preventable chronic diseases. Using Whittemore and Knafl's (2005) systematic integrative review methods, we conducted a search across five databases, including Medline-EBSCO, PubMed, CINAHL, EMBASE, and SCOPUS. The Sustainable Integrated Chronic Care Models for Multimorbidity (SELFIE) framework, established by Leijten et al. (2018), was used for reflexive thematic synthesis. A two-stage screening process identified 15 integrated healthcare models, with five RCTs evaluating their effects on chronic conditions. The analysis revealed two key themes: aspects of care integration (service delivery, leadership, workforce, technology, and finance) and changes in patient and healthcare outcomes. Care coordination and multidisciplinary team care were common features, bridging gaps between health and social services for older patients. Despite challenges such as irregular funding and underutilisation of technology, several models demonstrated positive patient and healthcare outcomes. Virtual care platforms and remote monitoring systems have shown promise in improving patient engagement and enabling real-time care adjustments, particularly in rural areas with limited healthcare access. Our review highlights the need for integrated healthcare for older rural Australians with preventable chronic conditions, revealing the complexity of service models. Policy shifts towards coordinated services and changes in leadership and healthcare practices are essential to ensure this demographic receives integrated care that meets their needs.

To identify determinants of continuous glucose monitoring (CGM) implementation from primary care providers' (PCPs') perspectives and examine the associations of these determinants with both PCP intent to discuss CGM with eligible patients and facility-level uptake of CGM.

Cross-sectional survey.

A survey about CGM implementation for patients with type 2 diabetes on insulin was distributed to all PCPs in the Department of Veterans Affairs (VA) health system from October 2023-April 2024. Multi-item scales measured perceived clinical benefits of CGM, workload capacity, knowledge about CGM, access to CGM resources, and support from leadership and other services. Responses were on a 5-point Likert scale from "Strongly Disagree" to "Strongly Agree". An item asked about likelihood of initiating discussions about starting CGM. Facility-level uptake was measured using VA administrative data. Multivariable regression models assessed the relationship between determinants of CGM implementation and both PCP intent to discuss CGM and facility-level uptake.

Of 1373 respondents, most perceived clinical benefits of CGM (79% "Agree" + "Strongly Agree"). Very few indicated sufficient access to resources (8%) and support from leadership & other services (5%). After adjustment for respondent characteristics, the scale most strongly associated with PCP intent to discuss CGM was PCP Knowledge About CGM (B = 0.54, P <.001). Facility uptake of CGM was associated with Clinical Benefits of CGM (B = 0.10, P =.026) and Support from Leadership & Other Services (B = 0.18, P <.001).

PCPs perceive benefits to CGM but lack sufficient knowledge, resources, and workload capacity to manage it alone. PCP education about CGM use and interprofessional support for uptake may increase the likelihood that eligible patients use CGM.

Chronic obstructive pulmonary disease (COPD) and type 2 diabetes mellitus (T2DM) are highly prevalent chronic conditions, frequently coexisting due to their shared pathophysiological mechanisms and risk factors. Epidemiological studies estimate that up to 30% of COPD patients have comorbid T2DM, contributing to worsened disease progression, more hospitalizations, and higher mortality rates. Systemic inflammation in COPD contributes to insulin resistance by increasing pro-inflammatory cytokines (TNF-α, IL-6, and CRP), which impair glucose metabolism and beta-cell function. Conversely, hyperglycemia in T2DM exacerbates oxidative stress, leading to endothelial dysfunction, reduced lung function, and impaired pulmonary repair mechanisms. A comprehensive narrative review was conducted to evaluate the interplay between COPD and T2DM, examining shared pathophysiological mechanisms, clinical consequences, and management strategies. The co-occurrence of COPD and T2DM accelerates disease development, elevates hospitalization rates, and deteriorates overall prognosis. Pharmacological interactions complicate illness treatment, requiring a multidisciplinary therapy strategy. Recent data underscore the need to integrate palliative care, facilitate shared decision-making, and provide psychological support to enhance patient outcomes. Efficient therapy of COPD-T2DM comorbidity necessitates a customized, interdisciplinary strategy that targets both respiratory and metabolic health. Preliminary prognostic dialogues, palliative care, and holistic lifestyle modifications can improve patient quality of life and clinical results.

To evaluate the program costs and financial sustainability of a remote patient monitoring for hypertension (RPM-HTN) program implemented in the cardiology practice of a large healthcare system.

This economic evaluation utilized field observation, interviews, literature review, and quantitative analysis to assess RPM-HTN from March to June 2024 at New York University Langone Health.

A costing tool was developed to quantify program costs, including personnel, start-up, equipment, and supply expenses, expressed in 2024 USD. Reimbursement rates were estimated using the 2024 Medicare Physician Fee Schedule. The return on investment (ROI) was calculated as the ratio of net return to program costs. Univariate sensitivity analyses evaluated the impact of varying a single parameter at a time on ROI.

The average cost of RPM-HTN was $330 per patient (range: $208-$452), with an annual program cost of $33,000 (range: $20,785-$45,168) for 100 patients enrolled from the Cardiology Division. Key expenses included data review by nurse practitioners ($172/patient), blood pressure device costs ($48/patient), and nurse-patient communication ($36/patient). ROI averaged 22.2% at 55% patient compliance with the RPM-HTN program. This ROI ranged from -11.1% (assuming program costs of $452) to 93.3% (assuming program costs of $208) per patient. ROI was most sensitive to changes in data review costs, insurance reimbursement, patient compliance, and device setup.

The RPM-HTN program demonstrated positive ROI, indicating financial sustainability in a large urban healthcare system. Improving patient compliance with the program and reducing human resource costs are critical for scaling RPM-HTN programs effectively.

Remote patient monitoring implies continuous follow-up of health-related parameters of patients outside healthcare facilities. Patients share health-related data with their healthcare unit and obtain feedback (which may be automatically generated if data are within a predefined range). The goals of remote patient monitoring are improvements for patients and reduced healthcare costs. The aim of this paper is to provide an overview of systematic reviews regarding remote patient monitoring for selected patient groups currently considered for the introduction of remote patient monitoring in Region Västra Götaland, Sweden. The selected sixteen patient groups were: patients with asthma, chronic obstructive pulmonary disease, children and adolescents with complex needs, children and adolescents with cystic fibrosis, children and adolescents with periodic fever, elderly patients with multiple diseases, patients with eye diseases, heart failure, haematological disease, hypertension, inflammatory bowel disease, neurorehabilitation, Parkinson's disease, psoriasis, sleep apnea, and specialist maternity care. Outcomes considered in this overview were patient-relevant clinical benefits as well as risks.

A literature search for systematic reviews of clinical trials on remote patient monitoring in the selected patient groups was conducted by two information specialists, followed by assessment of relevance by a team of clinical and methodological experts in Region Västra Götaland, Sweden. The methodological rigour of identified systematic reviews was assessed using QUICKSTAR - a tool for stepwise appraisal of systematic reviews. In a QUICKSTAR assessment, a level of at least five is considered a prerequisite for reliable conclusions regarding the question at issue.

The literature search resulted in 4,049 hits, of which 84 SRs were considered relevant for the question at issue. A QUICKSTAR level of at least five was reached by 13 (15%) of the relevant systematic reviews. Some patient benefit of remote patient monitoring was reported for five patient groups (asthma, chronic obstructive lung disease, heart failure, hypertension, and elderly patients with multiple diseases). For four patient groups (children with complex needs, children with cystic fibrosis, specialist maternity care, and sleep apnea), systematic reviews of adequate quality concluded that scientific evidence on clinical patient benefits of remote monitoring is very limited. For seven patient groups, no systematic reviews of sufficient quality were identified.

Clinical benefits and risks of remote patient monitoring as a replacement for, or in addition to, standard of care compared to standard of care (face-to-face visits) are poorly studied for most of the selected patient groups based on systematic reviews of acceptable quality. Patient-relevant clinical benefits are limited or impossible to evaluate for most diagnoses based on currently available scientific information. Possible clinical risks and costs are poorly studied.

In this editorial, I comment on the article by Zhang et al. To emphasize the importance of the topic, I discuss the relationship between the use of smart medical devices and mental health. Smart medical services have the potential to positively influence mental health by providing monitoring, insights, and interventions. However, they also come with challenges that need to be addressed. Understanding the primary purpose for which individuals use these smart technologies is essential to tailoring them to specific mental health needs and preferences.

Introduction: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, treatment, and patient monitoring, benefiting older adults by offering personalized care plans. AI-powered tools help manage chronic conditions and maintain independence, making them a valuable asset in addressing aging challenges. Objectives: The objectives are as follows: 1. To identify and describe AI-power-based exercise programs for older adults. 2. To highlight primary evidence gaps in AI interventions for functional improvement and mobility. 3. To evaluate the quality of existing reviews on this topic. Methods: The evidence gap map (EGM) will follow the five-step method, adhering to the Campbell Collaboration guidelines and, if available at the time of reporting, PRISMA-AI standards. Guided by the Metaverse Equitable Rehabilitation Therapy framework, this study will categorize findings across domains like equity, health service integration, interoperability, governance, and humanization. The study will include systematic reviews, randomized controlled trials, and pre-and post-intervention designs. Results will be reported following PRISMA-AI guidelines. We will use AMSTAR-2 Checklist for Analyzing Systematic Reviews on AI Interventions for Improving mobility and function in Older Adults to evaluate the reliability of systematic reviews and focus on internal validity. Conclusions: This comprehensive analysis will act as a critical resource for guiding future research, refining clinical interventions, and influencing policy decisions to enhance AI-driven solutions for aging populations. The EGM aims to bridge existing evidence gaps, fostering a more informed, equitable, and effective approach to AI solutions for older adults.

The global rise in type-2 diabetes (T2D) has prompted the development of new digital technologies for diabetes management. However, despite the proliferation of digital health companies for T2D care, scaling their solutions remains a critical challenge. This study investigates the digital transformation of T2D ecosystems and seeks to identify key innovation patterns. We examine: (1) What are emerging organizations in digital diabetes ecosystems? (2) What are the value streams in digital T2D ecosystems? (3) Which innovation patterns are present in digital T2D ecosystems?

We conducted a literature review and market analysis to characterize organizations and value streams in T2D ecosystems, pre- and post-digital transformation. We used the e3-value methodology to visualize T2D ecosystems (RQ1 and RQ2) and conducted expert interviews to identify emerging innovation patterns in digital diabetes ecosystems (RQ3).

Our analyses revealed the emergence of eight organization segments in digital diabetes ecosystems: real-world evidence analytics, healthcare management platforms, clinical decision support, diagnostic and monitoring, digital therapeutics, wellness, online community, and online pharmacy (RQ1). Visualizing the value streams among these organizations highlights the crucial importance of individual health data (RQ2). Furthermore, our analysis revealed four major innovation patterns within the digital diabetes ecosystem: open ecosystem strategies, outcome-based payment models, platformization, and user-centric software (RQ3).

Our findings illustrate the transition from traditional value chains in T2D care to platform-based and outcome-oriented models. These innovation patterns can inform strategic decisions for companies and healthcare providers, potentially helping anticipate new digital trends in diabetes care and across other chronic disease ecosystems.

Flexible strain monitoring of hand and joint muscle movement is recognized as an effective method for the diagnosis and rehabilitation of neurological diseases such as stroke and Parkinson's disease. However, balancing high sensitivity and large strain, improving wearing comfort, and solving the separation of diagnosis and treatment are important challenges for further building tele-healthcare systems. Herein, a hydrogel-based optical waveguide stretchable (HOWS) sensor is proposed in this paper. A double network structure is adopted to allow the HOWS sensor to exhibit high stretchability of the tensile strain up to 600% and sensitivity of 0.685 mV %-1. Additionally, the flexible smart bionic fabric embedding the HOWS sensor, produced through the warp and weft knitting, significantly enhances wearing comfort. A small circuit board is prepared to enable wireless signal transmission of the designed sensor, thereby improving the daily portability. A speech recognition and human-machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. By integrating sensing, wireless transmission, and artificial intelligence (AI), a smart tele-healthcare system based on HOWS sensors is demonstrated to hold great potential for early warning and rehabilitation monitoring of neurological diseases.

Integrating digital health technologies to improve the overall performance of healthcare systems counts among the top priorities of the WHO. As evidenced in recent research, there are specific factors that may decisively determine the effective implementation and development of innovative digital health solutions. This review attempts to recognise and map the existing body of research and evidence to identify the determinants that either favour or hinder the deployment and use of digital health technologies by patients and physicians in primary care.

The scoping review will be conducted in accordance with the JBI Manual for Evidence Synthesis (2024 edition introducing nine stages) and with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. Search strategy will be conducted in PubMed, Embase, Cochrane Database of Systematic Reviews and Scopus in November 2024. The review will include quantitative, qualitative, mixed-methods studies, systematic, scoping or umbrella reviews, as well as text and opinion papers. The study selection process will be conducted by two researchers using Rayyan. The data will be analysed using MAXQDA and extracted into a tool prepared by the researchers. This review will summarise the existing data and will help create a list of potential and determinant barriers and facilitators that may be useful in conducting empirical research on embedding new digital health solutions and sustaining their use.

As no primary data will be collected for the purposes of this study, no formal ethical approval is required. Results will be published in a peer-reviewed journal. The findings will be used to conduct further research (HORIZON.2.1;grant:101095424) on the determinants of digital health implementation in primary care at the national level and to prepare recommendations for key stakeholders, as well as to develop recommendations on health policy in the European Union.

Recent advancements in research have significantly enhanced our comprehension of the intricate immune components that contribute to multiple sclerosis (MS) pathogenesis. By conducting an in-depth analysis of complex molecular interactions involved in the immunological cascade of the disease, researchers have successfully identified novel therapeutic targets, leading to the development of innovative therapies. Leveraging pioneering technologies in proteomics, genomics, and the assessment of environmental factors has expedited our understanding of the vulnerability and impact of these factors on the progression of MS. Furthermore, these advances have facilitated the detection of significant biomarkers for evaluating disease activity. By integrating these findings, researchers can design novel molecules to identify new targets, paving the way for improved treatments and enhanced patient care. Our review presents recent discoveries regarding the pathogenesis of MS, highlights their genetic implications, and proposes an insightful approach for engaging with newer therapeutic targets in effectively managing this debilitating condition.

People with chronic diseases can benefit from wearable devices in managing their health and encouraging healthy lifestyle habits. Wearables such as activity trackers or blood glucose monitoring devices can lead to positive health impacts, including improved physical activity adherence or better management of type 2 diabetes. Few literature reviews have focused on the intersection of various chronic diseases, the wearable devices used, and the outcomes evaluated in intervention studies, particularly in the context of primary health care.

This study aims to identify and describe (1) the chronic diseases represented in intervention studies, (2) the types or combinations of wearables used, and (3) the health or health care outcomes assessed and measured.

We conducted a scoping review following the Joanna Briggs Institute guidelines, searching the MEDLINE and Web of Science databases for studies published between 2012 and 2022. Pairs of reviewers independently screened titles and abstracts, applied the selection criteria, and performed full-text screening. We included interventions using wearables that automatically collected and transmitted data to adult populations with at least one chronic disease. We excluded studies with participants with only a predisposition to develop a chronic disease, hospitalized patients, patients with acute diseases, patients with active cancer, and cancer survivors. We included randomized controlled trials and cohort, pretest-posttest, observational, mixed methods, and qualitative studies.

After the removal of 1987 duplicates, we screened 4540 titles and abstracts. Of the remaining 304 articles after exclusions, we excluded 215 (70.7%) full texts and included 89 (29.3%). Of these 89 texts, 10 (11%) were related to the same interventions as those in the included studies, resulting in 79 studies being included. We structured the results according to chronic disease clusters: (1) diabetes, (2) heart failure, (3) other cardiovascular conditions, (4) hypertension, (5) multimorbidity and other combinations of chronic conditions, (6) chronic obstructive pulmonary disease, (7) chronic pain, (8) musculoskeletal conditions, and (9) asthma. Diabetes was the most frequent health condition (18/79, 23% of the studies), and wearable activity trackers were the most used (42/79, 53% of the studies). In the 79 included studies, 74 clinical, 73 behavioral, 36 patient technology experience, 28 health care system, and 25 holistic or biopsychosocial outcomes were reported.

This scoping review provides an overview of the wearable devices used in chronic disease self-management intervention studies, revealing disparities in both the range of chronic diseases studied and the variety of wearable devices used. These findings offer researchers valuable insights to further explore health care outcomes, validate the impact of concomitant device use, and expand their use to other chronic diseases.

Open Science Framework Registries (OSF) s4wfm; https://osf.io/s4wfm.

To analyze the association between Primary Health Care (PHC) performance and institutional ability to provide care for individuals with noncommunicable diseases (NCDs).

Cross-sectional study conducted with primary care nurses and physicians in Brazil. The performance of PHC was assessed by using the Primary Care Assessment Tool (PCAT), whereas institutional ability for the care of people with NCDs was assessed through the Assessment of Chronic Illness Care (ACIC). Pearson correlation and multiple linear regression models were used to analyze the association between the PHC attributes measured in the PCAT (independent variables) and the ACIC dimensions (dependent variables).

In total, 308 health professionals -190 nurses (61.7%) and 118 physicians (38.3%)-at mean age 37.5 years and mean time of 6.5 years working in PHC participated of the study. On a scale of 0 to 10, the overall PCAT score was 6.74, while the ACIC score was 5.20. The PCAT score was High in only 58.8% of respondents (score ≥6.6). The ACIC scores showed basic institutional ability to care for people with NCDs. All ACIC dimensions have shown positive correlation to PCAT attributes, except for accessibility, continuity of care and care coordination.

A positive association was found between PHC performance and institutional ability to care for people with NCDs. Results have evidenced the need of investing in PCH by providing technical, political, logistical and financial support to PHC units to improve PHC organization points and care for people with NCDs.

Remote longitudinal studies are on the rise and promise to increase reach and reduce participation barriers in chronic disease research. However, maintaining long-term retention in these studies remains challenging. Early identification of participants with different patterns of long-term retention offers the opportunity for tailored survey adaptations. Using data from the online arm of the Swiss Multiple Sclerosis Registry (SMSR), we assessed sociodemographic, health-related, and daily-life related baseline variables against measures of long-term retention in the follow-up surveys through multivariable logistic regressions and unsupervised clustering analyses. We further explored follow-up survey completion measures against survey requirements to inform future survey designs. Our analysis included data from 1,757 participants who completed a median of 4 (IQR 2-8) follow-up surveys after baseline with a maximum of 13 possible surveys. Survey start year, age, citizenship, MS type, symptom burden and independent driving were significant predictors of long-term retention at baseline. Three clusters of participants emerged, with no differences in long-term retention outcomes revealed across the clusters. Exploratory assessments of follow-up surveys suggest possible trends in increased survey complexity with lower rates of survey completion. Our findings offer insights into characteristics associated with long-term retention in remote longitudinal studies, yet they also highlight the possible influence of various unexplored factors on retention outcomes. Future studies should incorporate additional objective measures that reflect participants' individual contexts to understand their ability to remain engaged long-term and inform survey adaptations accordingly.

Digital 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.

This study aims to provide policy makers, health managers, and researchers with a summary of evidence on digital interventions used in PHC.

This 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.

A 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.

Research 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 applications (DHAs) promise to improve disease self-management, but adherence remains suboptimal. We aimed to explore self-monitoring practices of rheumatic and musculoskeletal diseases (RMD) patients. A web-survey was conducted over 7 months including RMD patients to study their self-monitoring practices and the potential of DHAs.

Health, sociodemographic, and technology adherence indicators were retrieved for comparison. Regression analyses and unsupervised profiling were performed to investigate multiple patient profiles.

From 228 responses gathered, most reported willingness to use DHAs to monitor their condition (78% agreement), although the majority rarely/never tracked symptoms (64%), often due to stable condition or no perceived value (62%). Of those tracking regularly, 52% used non-digital means. Participants with regular self-monitoring practices were more open to use a self-monitoring app (OR = 0.8 [0.6, 0.9]; p = 0.008) and be embedded in multidisciplinary care (OR = 1.4 [1.1, 1.6]; p < 0.001), but showed worse health status (g = 0.4; p = 0.006). Cluster analyses revealed three distinct groups of reasons for not tracking regularly (χ2 = 174.4; p < 0.001), two characterised by perceived low disease activity.

Effective use of DHAs remains limited and non-digital means prevail in symptom monitoring. Findings suggest that better patient engagement strategies and passive monitoring should be adopted in early development stages of DHAs for better long-term disease self-care.

Increasing numbers of underserved people with chronic diseases and decreasing providers in rural areas have contributed to the care shortage in the United States. Nurse-led telehealth/mobile care models have potential benefits for this population. However, there is a substantial gap in the literature regarding this topic.

To examine the available literature on nurse-led telehealth/mobile health care models with a particular focus on care model settings, nursing roles, care components, achieved outcomes, and the identification of both facilitative factors and encountered challenges. The ultimate goal is to offer recommendations based on these findings, thereby aiding the development or refinement of evidence-based care models that meet to the unique needs of low-income populations.

Literature published from 2010 to 2023 was searched in six electronic databases (Cumulative Index to Nursing and Allied Health Literature, Communication and Mass Media Complete, Medline, APA PsycINFO, Social Sciences Index, and Web of Science databases).

Commonalities identified among included studies with significant improvements were the provision of home monitors and education to participants, multiple engagements, and extensive community and/or family involvement.

Nurse-led telehealth/mobile health care models for chronic diseases are an emerging approach. Nurse educators must ensure that future nurses are adept in diverse telehealth modes, collaborating across disciplines. Leveraging advanced practice registered nurses and interdisciplinary teams provides holistic care.

Our review outlined recent research findings that suggest enhanced patient outcomes through technology, communication, and community support. In addition, we offered suggestions for future research and practice, emphasizing the importance of exploring the requirements of diverse and underserved communities.

Despite a recent rise in adoption, telemedicine consultations retention remains challenging, and aspects around the associated experiences and outcomes remain unclear. The need to further investigate these aspects was a motivating factor for conducting this scoping review.

With a focus on synchronous telemedicine consultations between patients with nonmalignant chronic illnesses and health care professionals (HCPs), this scoping review aimed to gain insights into (1) the available evidence on telemedicine consultations to improve health outcomes for patients, (2) the associated behaviors and attitudes of patients and HCPs, and (3) how supplemental technology can assist in remote consultations.

PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guided the scoping review process. Inclusion criteria were (1) involving adults with nonmalignant, noncommunicable chronic conditions as the study population; (2) focusing on health outcomes and experiences of and attitudes toward synchronous telemedicine consultations between patients and HCPs; and (3) conducting empirical research. A search strategy was applied to PubMed (including MEDLINE), CINAHL Complete, APA PsycNet, Web of Science, IEEE, and ACM Digital. Screening of articles and data extraction from included articles were performed in parallel and independently by 2 researchers, who corroborated their findings and resolved any conflicts.

Overall, 4167 unique articles were identified from the databases searched. Following multilayer filtration, 19 (0.46%) studies fulfilled the inclusion criteria for data extraction. They investigated 6 nonmalignant chronic conditions, namely chronic obstructive pulmonary disease, diabetes, chronic kidney disease, ulcerative colitis, hypertension, and congestive heart failure, and the telemedicine consultation modality varied in each case. Most observed positive health outcomes for patients with chronic conditions using telemedicine consultations. Patients generally favored the modality's convenience, but concerns were highlighted around cost, practical logistics, and thoroughness of clinical examinations. The majority of HCPs were also in favor of the technology, but a minority experienced reduced job satisfaction. Supplemental technological assistance was identified in relation to technical considerations, improved remote workflow, and training in remote care use.

For patients with noncommunicable chronic conditions, telemedicine consultations are generally associated with positive health outcomes that are either directly or indirectly related to their ailment, but sustained improvements remain unclear. These modalities also indicate the potential to empower such patients to better manage their condition. HCPs and patients tend to be satisfied with remote care experience, and most are receptive to the modality as an option. Assistance from supplemental technologies mostly resides in addressing technical issues, and additional modules could be integrated to address challenges relevant to patients and HCPs. However, positive outcomes and attitudes toward the modality might not apply to all cases, indicating that telemedicine consultations are more appropriate as options rather than replacements of in-person visits.

COVID-19 has provided a unique boost to the use of digital healthcare technology, putting many vulnerable people at risk of digital exclusion. To promote digital healthcare equity, it is important to identify the challenges that may inhibit cancer patients and family caregivers from benefiting from such technology. This study explored the challenges that cancer patients and family caregivers experience in using digital healthcare technology platforms during the COVID-19 pandemic. A qualitative descriptive study using face-to-face semistructured individual interviews was carried out. A purposive sample of 21 participants was recruited from a public cancer hospital in Saudi Arabia. Qualitative content analysis with an inductive approach was utilized. The factors that challenged the ability of participants to benefit from digital healthcare technology were similar. Four themes related to the challenges the two groups experienced emerged: access to platforms, use of platforms for cancer health-related purposes, attitudes toward these platforms, and individual user preferences. This study identified numerous areas for improvement regarding digital healthcare technology platform implementation, which could increase future benefits and equal use. This study's findings also provide useful information to investigators who intend to create digital nursing interventions for both groups amid COVID-19 and other worldwide health crises.

Digital health technologies offer the potential to improve the daily lives of older adults, maintain their health efficiently, and allow aging in place. Despite increasing evidence of benefits and advantages, readiness for adopting digital interventions among older people remains underexplored.

This study aims to explore the relationships between sociodemographic-, health-, and lifestyle-related factors and technology use in everyday life and community-dwelling older adults' readiness to adopt telemedicine, smartphones with texting apps, wearables, and robotics.

This was a cross-sectional, population-based survey study with a stratified probabilistic sample of adults aged 75 years or older living in South Tyrol (autonomous province of Bolzano/Bozen, Italy). A random sample of 3600 community-dwelling older adults living at home was invited to complete a questionnaire including single items (older adults' readiness to use health technology) and scales (PRISMA-7; Program of Research on Integration of Services for the Maintenance of Autonomy). Descriptive and logistic regression analyses were performed to analyze the data.

In total, 1695 community-dwelling older adults completed the survey (for a response rate of 47%). In terms of potential digital health technology adoption, wearable devices were favored by 33.7% (n=571), telemedicine by 30.1% (n=510), smartphones and texting apps by 24.5% (n=416), and assistant robots by 13.7% (n=232). Sociodemographic-, health- and lifestyle-related factors, as well as the use of technology in everyday life, played a significant role in explaining readiness to adopt digital health technologies. For telemedicine, age ≥85 years (odds ratio [OR] 0.74, 95% CI 0.56-0.96), financial constraints (OR 0.68, 95% CI 0.49-0.95), and less than 2 hours of physical activity per week (OR 0.75, 95% CI 0.58-0.98) were associated with nonreadiness, while Italian-speaking participants (OR 1.54, 95% CI 1.16-2.05) and those regularly using computers (OR 1.74, 95% CI 1.16-2.60), smartphones (OR 1.69, 95% CI 1.22-2.35), and the internet (OR 2.26, 95% CI 1.47-3.49) reported readiness for adoption.

Community-dwelling older adults display varied readiness toward the adoption of digital health technologies, influenced by age, mother tongue, living situation, financial resources, physical activity, and current use of technology. The findings underscore the need for tailored interventions and educational programs to boost digital health technology adoption among community-dwelling older adults.

Mobile health applications are an established tool for healthcare management, patient education, and even capacity building for healthcare providers. However, its use among traditional birth attendants (TBAs) is limited. The aim of this study is to explore the needs and bottlenecks of developing an interactive mobile application for maternal and infant care (MAI) of TBAs.

It is a qualitative study having in-depth interviews (face-to-face approach) conducted among the seekers of MAI services. Setting: This study is conducted in tribal and rural locations in the district Sirohi, Rajasthan. Participants: TBAs and tribal females of reproductive age in tribal-dominated areas have participated. The development of an interactive mobile application MAI has three phases: (1) a need-based approach to identify the needs on the ground; (2) identifying intervention bottlenecks and possible solutions; (3) design and development of the mobile application.

Ninety-six tribal females of reproductive age participated in the needs assessment. Eighty percent of them were ≤ 30 years of age and 40% of them were uneducated. Most participants informed that lack of information (culturally/locally appropriate content), peer advocacy, affordability, lack of transportation, and the influence of TBAs are the significant factors for less uptake of maternity and child health services in the tribal and rural areas.

The MAI app has culturally/locally appropriate content and is prepared by the local TBAs and Accredited Social Health Activists, with full local character and clothing. MAI app has videos and audio in the local language (Marwari) with pictorial quizzes. Using the MAI app, TBAs may self-educate and guide tribal pregnant women about maternal hygiene and infant healthcare as needed at various stages of pregnancy and childbirth.

Wellinks is a remote disease management solution that provides novel chronic obstructive pulmonary disease (COPD) care delivery.

This study evaluated the satisfaction, engagement, and clinical outcomes of Wellinks participants. This study also investigated the cadence of health coaching for patients with COPD.

A 24-week interventional study was conducted by Wellinks and the COPD Foundation in 2022. Adults with COPD were recruited by the COPD Foundation in the United States and determined to be eligible if they had phone and internet access, owned a smartphone, and were not currently participating in pulmonary rehabilitation. All study participants provided written informed consent. The Wellinks solution included remote health coaching, pulmonary rehabilitation, and group education; participants were provided the Wellinks app and smart spirometry and pulse oximetry devices. Participants were offered 6 coaching sessions in the first 12 weeks. For the second 12-week period, participants either reduced frequency or discontinued coaching; all other components of the Wellinks solution remained unchanged. The COPD Self-Efficacy Scale, Modified Medical Research Council dyspnea scale, pulmonary function, pulse oximetry, and patient-reported healthcare resource utilization were the clinical outcome measures. Nonclinical outcomes included engagement and satisfaction with Wellinks and net promoter score.

In total, 141 adults consented and completed Wellinks onboarding; 84.4% (n=119) of whom remained engaged throughout the 24-week study. Participants had a mean age of 70 (SD 7.8; range 48-88) years, and 55.7% (n=78) were female. Most participants (n=119, 84.4%) completed all 6 coaching sessions during the first 12-week period. Compliance with spirometer and pulse oximeter use was 82.3% and 89.4%, respectively, at week 1 but waned over the study period to 8.5% and 9.2%, respectively, at the end of the study. Participants indicated a high degree of satisfaction with Wellinks, with 95.5% (n=85) and 91% (n=81) of participants indicating that they agreed or strongly agreed that the educational content and health coaching, respectively, were valuable. At the end of the study, the net promoter score was +64 and +55 in the coaching continuation and discontinuation arms, respectively. A significant improvement from baseline to end of the study was observed in the COPD Self-Efficacy Scale total score (P<.001) and domain scores (P<.001 for each domain). In total, 35.1% (n=27) of participants improved by at least 1 category of change on the 5-point Modified Medical Research Council dyspnea scale from baseline to week 24.

This study confirmed the feasibility of using a remote model of care delivery to support people living with COPD. The insights gained in this study have allowed for further refinement and personalization of the Wellinks care model. Findings related to the combined use of technology and personal care delivery should be considered by others developing remote disease management tools.

ClinicalTrials.gov NCT05259280; https://clinicaltrials.gov/ct2/show/NCT05259280.

The pandemic has disproportionately impacted rural communities with a higher burden of chronic disease and COVID-19 infection. West Virginia is a rural state with a high rate of diabetes, hypertension, and COPD, which are known risk factors for severe COVID-19 and long COVID. Yet, there is a significant hesitancy regarding COVID-19 vaccination uptake in the state. The purpose of this study was to use an educational intervention to increase vaccine knowledge and vaccine acceptance in rural patients with chronic disease(s) in West Virginia. This project used an academic-community partnership comprised of researchers, practitioners, community organizations, community-engaged partners, and patient stakeholders to increase COVID-19 health literacy and increase vaccine acceptance among rural West Virginians with chronic conditions.

A quasi-experimental study design was used to deliver an educational intervention by trained Health Navigators using short videos to increase COVID-19 health literacy and address participants' vaccine concerns. Eligibility included adults (18 years and older) who have at least one chronic condition. A statewide community advisory board (CAB) guided the development of the educational training curriculum and implementation strategies. An adapted version of the Exploration, Preparation, Implementation, Sustainment (EPIS) framework guided the development of the intervention. Health Navigators (n = 45) delivered the educational intervention in their local communities between November 2022 and October 2023 (project implementation is still ongoing). Intervention fidelity checks, an adaptable script, and a flow chart allowed tailoring of brief videos to address participants' specific COVID-19 questions and vaccine concerns. A validated online survey, monitored by an online Research Electronic Data Capture (REDCap) database, assessed participants' knowledge, perceived susceptibility, and vaccine intention.

Health Navigators delivered the intervention to 1368 West Virginians in 52 counties (59.2% women; 61.8% without a college degree). Participants reported living with an average of 2.1 ± 1.4 chronic conditions. The mean age was 43.5 ± 18.8 years. The majority of participants (81.2%) had received the primary vaccination series, and 63.1% had at least one booster. However, 18% were unvaccinated or did not complete the primary COVID-19 vaccine series. Discussions to improve vaccine literacy focused on how the vaccine was so quickly developed and protects against variants, addressing concerns related to the safety, short- and long-term side effects, and importance of vaccine uptake for immunocompromised individuals. Participants with higher concerns were more likely to be unvaccinated and to have not completed their primary series or boosters (p < 0.001). However, the educational intervention improved the willingness of individuals who were either unvaccinated or did not complete their primary vaccine series to get vaccinated (11.4%).

Our findings highlight the importance of vaccine literacy in increasing vaccination rates among rural patients with chronic diseases. Using the EPIS framework allowed us to reflect upon the challenges, ensure resilience during changing local contexts, and plan and implement a promising, cost-effective intervention in rural areas.

This study provides insights into the need for tailored educational interventions based on disease status, which has implications for public health and patient care in rural and underserved communities. Academic-community partnerships can be useful for successful knowledge transfer for vaccine acceptance to reduce rural health disparities.

Aim: To analyze and summarize the implementation of telemedical solutions in geriatrics and gerontology within the Polish healthcare sector, aiming to develop innovative strategies for improving elderly care through telemedical technologies.

Materials and Methods: An interdisciplinary pilot project in geriatrics was implemented, focusing on health, organizational, and technological areas. The project involved continuous monitoring of health parameters, remote consultations, and the use of telemedical devices and platforms. Key data collection tools included digital clinimetric outcomes from the FRA-MNA-SARC model, with data transmitted to a telemedical platform.

Results: The pilot project demonstrated significant positive outcomes for senior participants. Continuous monitoring of health parameters allowed for early detection and timely intervention, leading to noticeable improvements in chronic disease management. This proactive approach reduced emergency hospital visits and enhanced overall health stability. The medication adherence support system, with automated reminders, ensured patients took their medications as prescribed, resulting in improved compliance and health outcomes. Telemedical solutions efficiently reduced the need for frequent in-person visits, allowing healthcare providers to monitor progress and adjust therapies in real-time. The project also effectively engaged patients and caregivers, increasing confidence in health management and providing valuable support and real-time information.

Conclusions: Implementing telemedical solutions in geriatrics within the Polish healthcare sector shows significant potential to improve elderly care. Telemedicine can effectively support chronic disease management, enhance seniors' quality of life through continuous health monitoring, and provide a practical framework for personalized and efficient healthcare delivery.

The rising demand for healthcare resources, especially in chronic disease management, has elevated the importance of Artificial Intelligence (AI) in healthcare. While AI-based homecare systems are being developed, the perspectives of chronic patients, who are one of the primary beneficiaries and risk bearers of these technologies, remain largely under-researched. While recent research has highlighted the importance of AI-based homecare systems, the current understanding of patients' desired designs and features is still limited.

This paper explores chronic patients' perspectives regarding AI-based homecare systems, an area currently underrepresented in research. We aim to identify the factors influencing their decision to use such systems, elucidate the potential roles of government and other concerned authorities, and provide feedback to AI developers to enhance adoption, system design, and usability and improve the overall healthcare experiences of chronic patients.

A web-based open-ended questionnaire was designed to gather the perspectives of chronic patients about AI-based homecare systems. In total, responses from 181 participants were collected. Using Krippendorff's clustering technique, an inductive thematic analysis was performed to identify the main themes and their respective subthemes.

Through rigorous coding and thematic analysis of the collected responses, we identified four major themes further segmented into thirteen subthemes. These four primary themes were: 1) "Personalized Design", emphasizing the need for patients to manage their health condition better through personalized and educational resources and user-friendly interfaces; 2) "Emotional & Social Support", underscoring the desire for AI systems to facilitate social connectivity and provide emotional support to improve the well-being of chronic patients at home; 3) "System Integration & Proactive Care", addressing the importance of seamless communication, proactive patient monitoring and integration with existing healthcare platforms; and 4) "Ethics & Regulation", prioritizing ethical guidelines, regulatory compliance, and affordability in the design.

This study has offered significant insights into the needs and expectations of chronic patients regarding AI-based home care systems. 'The findings highlight the importance of personalized and accessible care, emotional and social support, seamless system integration, proactive care, and ethical considerations in designing and implementing such systems. By aligning the design and operation of these systems with the lived experiences and expectations of patients, we can better ensure their acceptance and effectiveness.

To optimize workplace health promotion, a simple method for quantifying allostatic load response is needed. This study examines the feasibility of optimizing objective anxiety and presenteeism monitoring using daily smartwatch-measured ultra-short heart rate variability (HRV).

Office workers without diagnosed disease prospectively performed 30 s HRV self-measurement each morning for two months and responded to the State-Trait Anxiety Inventory (STAI) and Work Limitation Questionnaire (WLQ). Logistic regression analysis examined daily HRV parameters in the high-trait anxiety group (HTA, STAI ≥ 40) using mean and variance HRV, age, self-reported gender, and body mass index (BMI). The ideal cutoff value enabled comparison of WLQ using the Mann-Whitney U test. Heart rate variability data were collected for 279 participants (male ratio, 83.9%; age, 42 ± 10 years) who completed questionnaires and monitored HRV for 30+ days.

Compared to the low-trait anxiety group, HTA exhibited higher variance of the log-transformed coefficient of component variance of high-frequency component (LnccvHF) and low-frequency per HF (Lnccv L/H), in addition to differences in the means of these HRV parameters. In addition to BMI (odds ratio [OR] = 0.92, p = 0.02) and mean LnccvL/H (OR = 10.75, p < 0.01), the variance of Lnccv L/H was an independent predictor of HTA (OR = 2.39E + 8, p = 0.011). The daily Lnccv L/H dispersion group had a lower WLQ productivity loss score (p = 0.02, r = 0.17).

By focusing on HRV dispersion status, this simple and instantly applicable daily HRV monitoring system enables optimized quantitative monitoring of anxiety and productivity.

The integration of 5G technology in the healthcare sector is poised to bring about transformative changes, offering numerous advantages such as enhanced telemedicine services, expedited data transfer for medical records, improved remote surgery capabilities, real-time monitoring and diagnostics, advancements in wearable medical devices, and the potential for precision medicine. However, this technological shift is not without its concerns, including potential health implications related to 5G radiation exposure, heightened cybersecurity risks for medical devices and data systems, potential system failures due to technology dependence, and privacy issues linked to data breaches in healthcare. We are striking a balance between harnessing these benefits and addressing the associated risks. Achieving this equilibrium requires the establishment of a robust regulatory framework, ongoing research into the health impacts of 5G radiation, the implementation of stringent cybersecurity measures, education and training for healthcare professionals, and the development of ethical standards. The future of 5G in the medical field holds immense promise, but success depends on our ability to navigate this evolving landscape while prioritizing patient safety, privacy, and ethical practice.

Chronic conditions such as stroke, Parkinson's disease, spinal cord injury, multiple sclerosis, vestibular disorders, chronic pain, arthritis, diabetes, chronic obstructive pulmonary disease (COPD), and heart disease are leading causes of disability among middle-aged and older adults. While evidence-based treatment can optimize clinical outcomes, few people with chronic conditions engage in the recommended levels of exercise for clinical improvement and successful management of their condition. Rehabilitation technologies that can augment therapeutic care-i.e., exoskeletons, virtual/augmented reality, and remote monitoring-offer the opportunity to bring evidence-based rehabilitation into homes. Successful integration of rehabilitation techniques at home could help recovery and access and foster long term self-management. However, widespread uptake of technology in rehabilitation is still limited, leaving many technologies developed but not adopted.

In this narrative review, clinical need, efficacy, and obstacles and suggestions for implementation are discussed. The use of three technologies is reviewed in the management of the most prevalent chronic diseases that utilize rehabilitation services, including common neurological, musculoskeletal, metabolic, pulmonary, and cardiac conditions. The technologies are (i) exoskeletons, (ii) virtual and augmented reality, and (iii) remote monitoring.

Effectiveness evidence backing the use of technology in rehabilitation is growing but remains limited by high heterogeneity, lack of long-term outcomes, and lack of adoption outcomes.

While rehabilitation technologies bring opportunities to bridge the gap between clinics and homes, there are many challenges with adoption. Hybrid effectiveness and implementation trials are a possible path to successful technology development and adoption.

e-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICTs) to support health and health-related fields. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments. As a result of the COVID-19 pandemic, ICT has improved the quality of healthcare, the exchange of information, training of healthcare professionals and patients, and facilitated the relationship between patients and healthcare providers. This study systematically reviews the literature on ICT-based automatic and remote monitoring methods, as well as different ICT techniques used in the care of COVID-19-infected patients.

The purpose of this systematic literature review is to identify the e-Health methods, associated ICTs, method implementation strategies, information collection techniques, advantages, and disadvantages of remote and automatic patient monitoring and care in COVID-19 pandemic.

The search included primary studies that were published between January 2020 and June 2022 in scientific and electronic databases, such as EBSCOhost, Scopus, ACM, Nature, SpringerLink, IEEE Xplore, MEDLINE, Google Scholar, JMIR, Web of Science, Science Direct, and PubMed. In this review, the findings from the included publications are presented and elaborated according to the identified research questions. Evidence-based systematic reviews and meta-analyses were conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Additionally, we improved the review process using the Rayyan tool and the Scale for the Assessment of Narrative Review Articles (SANRA). Among the eligibility criteria were methodological rigor, conceptual clarity, and useful implementation of ICTs in e-Health for remote and automatic monitoring of COVID-19 patients.

Our initial search identified 664 potential studies; 102 were assessed for eligibility in the pre-final stage and 65 articles were used in the final review with the inclusion and exclusion criteria. The review identified the following eHealth methods-Telemedicine, Mobile Health (mHealth), and Telehealth. The associated ICTs are Wearable Body Sensors, Artificial Intelligence (AI) algorithms, Internet-of-Things, or Internet-of-Medical-Things (IoT or IoMT), Biometric Monitoring Technologies (BioMeTs), and Bluetooth-enabled (BLE) home health monitoring devices. Spatial or positional data, personal and individual health, and wellness data, including vital signs, symptoms, biomedical images and signals, and lifestyle data are examples of information that is managed by ICTs. Different AI and IoT methods have opened new possibilities for automatic and remote patient monitoring with associated advantages and weaknesses. Our findings were represented in a structured manner using a semantic knowledge graph (e.g., ontology model).

Various e-Health methods, related remote monitoring technologies, different approaches, information categories, the adoption of ICT tools for an automatic remote patient monitoring (RPM), advantages and limitations of RMTs in the COVID-19 case are discussed in this review. The use of e-Health during the COVID-19 pandemic illustrates the constraints and possibilities of using ICTs. ICTs are not merely an external tool to achieve definite remote and automatic health monitoring goals; instead, they are embedded in contexts. Therefore, the importance of the mutual design process between ICT and society during the global health crisis has been observed from a social informatics perspective. A global health crisis can be observed as an information crisis (e.g., insufficient information, unreliable information, and inaccessible information); however, this review shows the influence of ICTs on COVID-19 patients' health monitoring and related information collection techniques.

Digital media are easily accessible without time restrictions and are widely used for health- or disease-related purposes. However, their influence on the patient journey and the patient-physician relationship has not yet been sufficiently investigated.

This qualitative interview study was designed to explore dermatologists' and patients' experiences with digital media for medical purposes in the context of patient journeys and patient-physician relationships.

Twenty-eight semistructured video conference-based interviews were conducted and audiorecorded by experienced interviewers between November 2021 and June 2022 in Germany. Eligible patients were those who were aged ≥18 years, were affected by at least one physician-confirmed skin disease, and were fluent in the German language. The eligibility criterion for dermatologists was that they were currently practicing dermatology in an outpatient setting or in a hospital. Randomly selected dermatologists from the listing of the German National Association of Statutory Health Insurance Physicians and dermatologists from personal academic and professional networks were invited for participation via postal mail and asked to identify potential patient volunteers from their patient bases. All recorded data were pseudonymized, fully transcribed verbatim, and subsequently analyzed according to Mayring's qualitative content analysis by 2 researchers, allowing for both a qualitative interview text analysis and a quantitative assessment of category assignments.

In total, 28 participants were interviewed: 16 adult patients and 12 dermatologists. Eight main categories emerged as key areas of interest: (1) the search for diagnosis and symptom triggers, (2) preconsultation digital media use, (3) in-depth information and exchange with other patients, (4) self-treatment, (5) patient-physician interaction, (6) roles of dermatologists and patients, (7) patient eHealth literacy, and (8) opportunities and risks. Categories 1 and 2 were only coded for patients; the other categories were coded for both patients and dermatologists. Patients reported searches for diagnosis or treatment options were most frequently (8/16) caused by a mismatch of symptoms and diagnosis or dissatisfaction with current therapies. Concerns regarding a potentially severe diagnosis prompted searches for initial or in-depth information before or after dermatological consultations. However, the large volume of information of varying quality often confused patients, leading dermatologists to assume the role of evaluating information from preinformed patients. Dermatologists generally encouraged the use of digital media, considered teledermatology advantageous, and viewed big data and artificial intelligence as being potentially beneficial, particularly when searching for rare diagnoses. A single, easily accessible, and free-of-charge platform with high quality information in lay language was recommended by the dermatologists and desired by patients.

Digital media are widely accepted by both patients and dermatologists and can positively influence both the dermatological patient journey and patient-physician relationship. Digital media may therefore have great potential to improve specialized health care if patients and dermatologists embrace their new roles.

Diabetes and its complications, particularly diabetic foot ulcers (DFUs), pose significant challenges to healthcare systems worldwide. DFUs result in severe consequences such as amputation, increased mortality rates, reduced mobility, and substantial healthcare costs. The majority of DFUs are preventable and treatable through early detection. Sensor-based remote patient monitoring (RPM) has been proposed as a possible solution to overcome limitations, and enhance the effectiveness, of existing foot care best practices. However, there are limited frameworks available on how to approach and act on data collected through sensor-based RPM in DFU prevention. This perspective article offers insights from deploying sensor-based RPM through digital DFU prevention regimens. We summarize the data domains and technical architecture that characterize existing commercially available solutions. We then highlight key elements for effective RPM integration based on these new data domains, including appropriate patient selection and the need for detailed clinical assessments to contextualize sensor data. Guidance on establishing escalation pathways for remotely monitored at-risk patients and the importance of predictive system management is provided. DFU prevention RPM should be integrated into a comprehensive disease management strategy to mitigate foot health concerns, reduce activity-associated risks, and thereby seek to be synergistic with other components of diabetes disease management. This integrated approach has the potential to enhance disease management in diabetes, positively impacting foot health and the healthspan of patients living with diabetes.

Although electronic patient-reported outcomes (ePROs) are efficacious in symptom management, much is unknown about the utility of vital signs surveillance. We examined the feasibility of a remote patient monitoring platform that integrates ePROs and biometrics into the ambulatory management of symptom burden.

Using a decentralized workflow, patients with gastrointestinal or thoracic cancer were approached for a 1-month study. Patients reported symptom burden via ePROs and biometrics (blood pressure, oxygen saturation, pulse, weight, and temperature) using bluetooth-enabled devices daily. Alerts on the basis of prespecified thresholds were managed via nurse-led triage. Adherence was defined as the completion of > 70% of daily symptom and biometric reporting requirements. Pilot acceptability, appropriateness, and feasibility were measured using validated instruments. Net promoter score, system usability scale, and emergency department (ED) admission rates were collected.

Over 8 months, 36 patients were enrolled and 25 (60% gastrointestinal) completed the study. Participants had a mean age of 58.0 years, mean Eastern Cooperative Oncology Group score of 0.88, were 52% female, and predominantly had stage IV or recurrent disease (72%). Program adherence was 73% and associated with high acceptability (4.63), feasibility (4.56), and appropriateness (4.46). System usability scale and net promoter score scores were 88 and 55, respectively. Seventy percent of alerts were generated by biometrics, 28% for symptoms, and 2% were patient-initiated communication. Finally, the ED visitation rate over the pilot period was 8%.

Our remote patient monitoring pilot program was highly acceptable, feasible, and appropriate. It had high rates of patient adherence and satisfaction and was associated with low ED visitation rates.

Although mobile-based symptom monitoring is expected to improve patient participation in symptom management during anticancer therapy, previous trials have not evaluated its effectiveness. Therefore, this study aims to evaluate the impact of a symptom monitoring mobile application on improving patient participation in symptom management during anticancer therapy.

We conducted a single-center, open-label, randomized controlled trial that enrolled patients with breast, lung, head and neck, esophageal, or gynecologic cancer who were scheduled to receive anticancer therapy (oral or intravenous) between October 2020 and March 2021. We excluded patients with physical or psychological problems. The intervention group received a symptom monitoring application for 8 weeks, and the control group received the usual clinical practice. At 8 weeks, the improvement in patient participation in symptom management was assessed, and additionally quality of life and unplanned clinical visits were assessed.

A total of 222 patients were included in the analysis, of whom 142 were randomly assigned to the intervention group and 71 to the control group. The intervention group reported better outcome in patient participation in symptom management than the control group at 8 weeks (mean scores of 8.5 vs. 8.0; P = 0.01). There were no significant differences between the groups in Quality of life (P = 0.88) and unplanned clinical visits (P = 0.39-0.76).

This study is meaningful in figuring out that the mobile-based symptom monitoring made them more engaged in their management. Future research should continue to evaluate the effects of patient participation as mediators of clinical outcomes.

ClinicalTrials.gov NCT04568278.

Home hospital (HH), a care delivery model of providing hospital-grade care to patients in their homes, has become increasingly common in medical settings, though surgical uptake has been limited. HH programs have been shown to be safe and effective in a variety of medical contexts, with increased usage of this care pathway during the COVID-19 pandemic. Though surgical patients have unique clinical considerations, surgical Home Hospital (SHH) programs may have important benefits for this population. Various technologies exist for the delivery of hospital care in the home, such as clinical risk prediction models and remote patient monitoring platforms. Here, we use institutional experiences at Brigham and Women's Hospital (BWH) to discuss the utility of technology in enabling SHH programs and highlight current limitations. Additionally, we comment on the importance of data interoperability, access for all patients, and clinical workflow design in successfully implementing SHH programs.

The application of innovative technologies, and in particular of wearable devices, can potentially transform the field of antenatal care with the aim of improving maternal and new-born health through a personalized approach. The present study undertakes a scoping review to systematically map the literature about the use wearable sensors in the research of foetal and pregnancy outcomes. Online databases were used to identify papers published between 2000-2022, from which we selected 30 studies: 9 on foetal outcomes and 21 on maternal outcomes. Included studies focused primarily on the use of wearable devices for monitoring foetal vital signs (e.g., foetal heart rate and movements) and maternal activity during pregnancy (e.g., sleep patterns and physical activity levels). There were many studies that focused on development and/or validation of wearable devices, even if often they included a limited number of pregnant women without pregnancy complications. Although their findings support the potential adoption of wearable devices for both antenatal care and research, there is still insufficient evidence to design effective interventions. Therefore, high quality research is needed to determine which and how wearable devices could support antenatal care.

This scoping review compiled information concerning digital health technologies (DHTs) evolution to support primary health care (PHC) during COVID-19 and lessons for the future of PHC. The identified literature was published during the COVID-19 peak years (2019-2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used, thematic analysis was applied, and reporting followed the PRISMA for Scoping Reviews. A total of 46 studies were included in the final synthesis (40 articles, one book, two book chapters, one working paper, and two technical reports). These studies scrutinized various aspects of DHTs, entailing 19 types of DHTs with 20 areas of use that can be compressed into five bigger PHC functions: general PHC service delivery (teleconsultations, e-diagnosis, e-prescription, etc.); behavior promotion and digital health literacy (e.g., combating vaccine hesitancy); surveillance functions; vaccination and drugs; and enhancing system decision-making for proper follow-up of ongoing PHC interventions during COVID-19. DHTs have the potential to solve some of the problems that have plagued us even prior to COVID-19. Therefore, this study uses a forward-looking viewpoint to further stimulate the use of evidence-based DHT, making it more inclusive, educative, and satisfying to people's needs, both under normal conditions and during outbreaks. More research with narrowed research questions is needed, with a particular emphasis on quality assurance in the use of DHTs, technical aspects (standards for digital health tools, infrastructure, and platforms), and financial perspectives (payment for digital health services and adoption incentives).

The online version contains supplementary material available at 10.1007/s12553-023-00725-7.

Digital health technology is increasingly becoming part of the evolution of health services, not only for the innovation of equipment but also in support of health processes. Eye health is one of the areas that most explores this field, being a reference in different segments of digital health and the use of applied technological resources. Thus, the purpose of this review was to analyse and characterize the development of research in digital health applied to vision sciences in the last decade. An exploratory-quantitative review of the research based on studies indexed in the SCOPUS database in the last 10 years, which related aspects of digital health technologies with their use within the vision sciences, was conducted. The research results were filtered, including journal articles and excluding those not directly related to vision. The final sample was categorized and classified according to the technology used, the relationship with eye/visual health and its practical applications. A total of 1069 reports were identified (32.09% published since 2021). "Artificial Intelligence" (77.74%) was the most frequent technological tool cited, and posterior segment (68.10%) most eye structure studied, being diabetic retinopathy (27.88%) the main studied disease. The vast majority have potential for clinical use (93.73%), especially those aimed at supporting decision-making. Technologies in digital health in the vision sciences have had a huge growth in recent years, with emphasis on artificial intelligence applied to the posterior segment, but with a low development of studies aimed at using this technology in primary visual care.

The SARS-CoV-2 pandemic has put unprecedented pressure on the hospital sector around the world. It has shown the importance of preparing and planning in the future for an outbreak that overwhelms every aspect of a hospital on a rapidly expanding scale. We conducted a scoping review to identify, map, and systemize existing knowledge about the relationships between COVID-19 and hospital infrastructure adaptation and capacity planning worldwide. We searched the Web of Science, Scopus, and PubMed and hand-searched gray papers published in English between December 2019 and December 2021. A total of 106 papers were included: 102 empirical studies and four technical reports. Empirical studies entailed five reviews, 40 studies focusing on hospital infrastructure adaptation and planning during the pandemics, and 57 studies on modeling the hospital capacity needed, measured mostly by the number of beds. The majority of studies were conducted in high-income countries and published within the first year of the pandemic. The strategies adopted by hospitals can be classified into short-term (repurposing medical and non-medical buildings, remote adjustments, and establishment of de novo structures) and long-term (architectural and engineering modifications, hospital networks, and digital approaches). More research is needed, focusing on specific strategies and the quality assessment of the evidence.

The COVID-19 pandemic triggered an unprecedented demand for digital health technology solutions, such as remote monitoring. Previous research has focused on patients with chronic diseases, and their experiences with remote monitoring during the pandemic. Several recommendations have been presented to reduce the frequency of cancer patients' visits to oncology centers and minimizing the risk of exposure to COVID-19, such as remote monitoring. However, few studies have explored how this has influenced the healthcare services to cancer patients.

To explore cancer patients' perspectives on remote monitoring at home during the COVID-19 pandemic.

The study had a qualitative design, using in-depth, individual interviews.

A total of eleven interviews were conducted with patients who received remote monitoring during the COVID-19 outbreak. Three of the interviews were conducted by telephone, and eight on a digital platform, audio recorded, and transcribed verbatime. Data were analyzed using reflexive thematic analysis as recommended by Braun & Clarke.

All participants were conscious about being vulnerable to infections due to having cancer and receiving cancer treatment, and the pandemic to them represented an extra burden. Most of the participants experienced that their healthcare services had changed due to the pandemic, but there was no consensus on how the services had changed. All of the participants presented remote monitoring as something «new». Whether they received remote monitoring by telephone, video consultations or more advanced solutions with the possibility to complete a questionnaire or fill in measurements, did not seem to impact their views. However, all agreed that remote monitoring could never totally replace physical consultations in hospital. Participants' views seemed to grow more positive over time, but still they emphasized both positive and negative aspects of remote monitoring solutions in cancer care.

Remote monitoring was introduced as a necessity in cancer care during the COVID-19 outbreak. This may seem as an efficient solution, allowing for patients to stay at home and avoid infection. Our results indicate that, in the case of cancer patients, it is important that healthcare personnel balance the remote monitoring solution with person-to-person contact.