Development Of Digital Health Research Articles

Transitioning Perspectives in Digital Health Through Phenomenology Integration.

The evolution of digital health, from its early days as eHealth to its current expansive scope, reflects a significant transformation in health care delivery and management. This transition underscores the integration of digital technologies across the health continuum from prevention and diagnosis to treatment and rehabilitation. The emergence of digital health has introduced innovative solutions but also posed challenges, particularly in aligning technological advancements with health needs, human experiences, and ethical considerations. This position paper aims to explore the integration of phenomenology in digital health, advocating for a paradigm that emphasizes the centrality of human experience in the design and implementation of digital health solutions. It specifically seeks to address challenges related to relevance for individuals who "speak" different languages, ensuring long-term use, addressing digital and health literacy, coordinating various sources, and navigating ethical issues in the rapidly evolving digital health landscape. Drawing upon years of research and practical experience in communication technologies and health, this paper uses a reflective approach to examine the intersection of digital health and phenomenology. It reviews the historical development of digital health, identifies the challenges faced during its evolution, and discusses the potential of phenomenological methods to enhance user-centered design and ethical practices in digital health. The integration of phenomenology into digital health facilitates a deeper understanding of user experiences, enabling the development of more responsive and ethical digital health solutions. Participatory design models, informed by phenomenological perspectives, offer a pathway to bridge the gap between technological innovation and human-centric health care. The paper highlights successful practices in digital health development, including mobile apps for vaccination decision-making and platforms for managing chronic conditions, illustrating the benefits of a phenomenological approach. Transitioning perspectives in digital health through phenomenology integration represents a critical step toward realizing the full potential of digital technologies in health care.

Older adults’ preferences in the utilization of digital health and social services: a qualitative analysis of responses to open-ended questions

BackgroundWhile digital health and social services offer promising solutions, they often overlook the perspectives and needs of older adults. This study aims to comprehensively investigate the preferences of older adults regarding the use and development of digital health and social services.MethodsThe survey spanned from 19 March to 31 March 2023. The study population comprised 1100 Finnish individuals aged 75 and over from across Finland. The study used qualitative inductive content analysis to examine the open-ended responses obtained in the survey.ResultsWe identified eight main categories for the older adults’ preferences: usability, service design, and security; training, support, instructions, and information; flexibility of compatible devices; understandable language and interpretation of laboratory results; available and accessible services; desired functionalities; delivery of information for viewing, and personalization.ConclusionsOlder adults’ involvement in digital services’ strategy development is crucial, emphasizing value co-creation and segmentation while avoiding value co-destruction. Segmenting users and understanding their needs aids in customizing services, improving healthcare provision. Further research should assess the impact of segmentation-based training and digital device provision on older adults’ adoption of digital health and social services.

Parcours de soins rénové, e-santé et maillage officinal : une réponse complexe à la pénurie de médecins

The number of doctors in France today is far too low to meet the growing demand for patient care. An ageing population, a growing number of chronic pathologies and inequalities in access to care across the country are just some of the issues to be considered. By optimizing the care pathway, and promoting interdisciplinarity; by integrating digital health developments, such as shared medical records, new digital tools and telehealth; and by relying on the territorial network of pharmacies, banking on the dispensing pharmacist as a local public health player, France is seeking to make its healthcare system more efficient in the regions, thereby making up for the shortage of doctors.

Co-Design of a Digital Health Tool for Use by Individuals With Opioid Use Disorder: App4Independence (A4i-O).

Opioid use disorder (OUD) has arguably the highest mortality rate of mental health conditions; opiate-related deaths are identified as the number one cause of accidental deaths in Canada and the United States. Specialized care for OUD is often described as lacking, fractured, and with frequent periods of disengagement. Digital health strategies may support connection to evidence-based resources even during periods of disengagement. However, sustained engagement in digital interventions remains a barrier, and as such, experts recommend using co-design approaches to develop interventions. The current study outlines the results from a qualitative co-design project that engaged 6 lived experts and 8 clinical experts in a series of focus groups and interviews to adapt an existing intervention for use in OUD. Focus groups and interviews were recorded and transcribed before undergoing thematic analysis. This co-design process is the first stage of a larger project that will lead to the development of a novel digital health intervention for OUD populations. Transcripts underwent thematic analysis, and themes were divided into Crosscutting Themes, Feasibility and Engagement, and Specific Features. Each theme was divided into specific subthemes, which were reviewed by the design team and informed the design of the digital health platform. Key resulting directions included creating a psychologically safe digital space, curating resources for OUD as a multifaceted condition, and being mindful of barriers to implementation from both lived and clinical expert perspectives. Specific features are discussed in detail in the article. Lived experts and clinicians strongly supported integrating digital tools into OUD care. Ongoing work is needed to better understand the role of technology in existing OUD structures as well as the implementation of key features such as digital peer support and creating effective and safe social connections. This study also validates co-design as an essential step in digital health development.

Practice of distributed machine learning in clinical modeling for chronic obstructive pulmonary disease

BackgroundThe high prevalence, morbidity and mortality, and disease heterogeneity of chronic obstructive pulmonary disease (COPD) result in the scattered data derived from patient visits in different medical units. The huge cost of integrating the scattered data for analysis and modeling, as well as the legal demand for patient privacy protection lead to the emergence of data island. ObjectivesOn the premise of protecting patient privacy, integrating scattered data of patients from different medical units for high-quality modeling is beneficial to promoting the development of digital health. Based on this, we develop a distributed COPD disease diagnosis system termed COPD average federated learning (COPD_AVG_FL) using FedAvg. MethodsFirst, to build the COPD_AVG_FL, the clinical data of COPD patients from the real world is collected and the data pre-processing is performed to clean the incorrect data, outlier samples and missing values. Then, a classical federated learning architecture is designed as COPD_AVG_FL. Finally, to evaluate the established COPD_AVG_FL system, we develop Centralized Machine Learning (CML). ConclusionsOur results suggest that, with the assistance of COPD_AVG_FL, the absolute improvement rates are 13.4% (accuracy), 13.3% (precision), 12.8% (recall), 13.1% (F1-Score) and 12.9% (AUC) on the test data, respectively. The decoupling between model training and raw training data protects the patients' privacy, and helps to securely integrate more COPD data from different medical units to generate a more comprehensive model COPD_AVG_FL. This approach promotes the landing of wise information technology of medicine for COPD in the real clinical world. Code for our model will be made available at https://github.com/Cczhh/COPD_AVG_FL/tree/master.

Similarities and differences of lung cancer (LC) multidisciplinary teams (MDTs) in China compared to Europe and Canada.

e13562 Background: LC MDTs involve a collaborative approach where specialists work together to analyze individual cases, discuss treatment options, and tailor comprehensive care plans for patients. Implementing MDTs can be challenging, especially for developing countries with limited resources and high disease burden. China, with approximately 820,000 new patients with lung cancer in 2020 accounting for 37% of the total number in the world, bears the responsibility of treating the largest lung cancer patient population worldwide. The global MDT Aid Program (MAP) in LC has been including China to gather insights on the challenges, best practices, similarities, and differences of China LC MDT processes compared to other countries, so as to improve the outcome and cost-efficiency of global MDTs. Methods: In this study, we learned about the status, best practices, challenges of LC MDT development in China through virtual semi-structured healthcare professional (HCP) interviews, on-site masterclasses, and internal data sharing with 3 Chinese leading hospitals in LC - Guangdong Provincial People’s Hospital, West China Hospital and Xiangya Hospital. Similarities and differences were gathered based on previous MAP experience and insights from HCP discussions in LC across the Netherlands, Italy, Spain, Switzerland, Denmark, Norway, and Canada. To build a global collaboration on LC MDTs, three international knowledge exchange (IKE) sessions were organised to include China and all participating countries. Results: We identified seven main differences between China, Europe and Canada, including the enrolment criteria of patients in MDT that China MDTs focus on challenging cases such as resistance to multi-lines of therapy, multiple primary lung cancer and stage III lung cancer, while Europe and Canada MDTs mainly for routine patients. Other differences include setup and composition of MDT teams, digitalization of MDTs, incentives and reimbursement for MDT attendance, cross-institutional patient referral to the MDT, time spent per patient, patient follow-up after MDT discussion. Similarities identified include the MDT development model from both hospital and national level, experience sharing to educate junior physicians, hospital willingness to learn at global level, and challenges of high pressure with limited medical resources. Best practices of leveraging innovative digital capabilities to improve MDT efficiency and to support decision-making have been shared by China participants during the IKEs. Conclusions: Global collaboration to identify synergies within LC MDT communities can help China and other regions learn from each other and share China expertise in large-volume data-based practices globally. Alongside China’s rapid development of digital health, the digitalization of MDTs is likely to follow.

Sync fast and solve things—best practices for responsible digital health

Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, and biases that can compound existing health inequalities. While such concerns are widely recognized, existing regulatory principles, oversight methods and ethical frameworks seem out of sync with digital health innovation. New governance and innovation best practices are thus needed to bring such principles to bear with the reality of business, innovation, and regulation.To grant practical insight into best practices for responsible digital health innovation, we conducted a qualitative study based on an interactive engagement methodology. We engaged key stakeholders (n = 46) operating at the translational frontier of digital health. This approach allowed us to identify three clusters of governance and innovation best practices in digital health innovation: i) inclusive co-creation, ii) responsive regulation, and iii) value-driven innovation. Our study shows that realizing responsible digital health requires diverse stakeholders’ commitment to adapt innovation and regulation practices, embracing co-creation as the default modus operandi for digital health development. We describe these collaborative practices and show how they can ensure that innovation is neither slowed by overregulation, nor leads to unethical outcomes.

Implementation of Digital Health Ethics: A First Step with the Adoption of 16 European Ethical Principles for Digital Health.

The potential for technology to transform health care is tremendous, but advances in digital health may also bring privacy and data security challenges that may exacerbate inequalities. Hence, it is critical that the development of digital health is included in a framework of humanistic and ethical values. France drew up its roadmap for accelerating the shift towards digital health with ethics at the forefront, along with security and interoperability pillars. Criteria such as digital health for all, transparency of data processing, trustworthy AI, and eco-responsibility and sustainability of digital health were elaborated. Under the French Presidency of the Council of the European Union, building on the proposal of ethical criteria from France, eHealth network representatives unanimously adopted 16 European ethical principles for digital health, formalizing trust commitments towards European citizens and paving the way for the European Health Data Space.

Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework.

High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health. We describe three studies that leverage core methods from Digilego digital health development framework to (1) conduct large-scale social media analysis (n = 55 301 posts) to understand population-level patterns in women's needs, (2) architect a digital repository to enable women curate HRP related information, and (3) develop a digital platform to support PPD prevention. We applied a combination of qualitative coding, machine learning, theory-mapping, and programmatic implementation of theory-linked digital features. Further, we conducted preliminary testing of the resulting products for acceptance with sample of pregnant women for GDM/HTN information management (n = 10) and PPD prevention (n = 30). Scalable social computing models using deep learning classifiers with reasonable accuracy have allowed us to capture and examine psychosociobehavioral drivers associated with HRPM. Our work resulted in two digital health solutions, MyPregnancyChart and MomMind are developed. Initial evaluation of both tools indicates positive acceptance from potential end users. Further evaluation with MomMind revealed statistically significant improvements (P < .05) in PPD recognition and knowledge on how to seek PPD information. Digilego framework provides an integrative methodological lens to gain micro-macro perspective on women's needs, theory integration, engagement optimization, as well as subsequent feature and content engineering, which can be organized into core and specialized digital pathways for women engagement in disease management. Future works should focus on implementation and testing of digital solutions that facilitate women to capture, aggregate, preserve, and utilize, otherwise siloed, prenatal information artifacts for enhanced self-management of their high-risk conditions, ultimately leading to improved health outcomes.

Healthcare System Digital Transformation across Four European Countries: A Multiple-Case Study.

Digitization has become involved in every aspect of life, including the healthcare sector with its healthcare professionals (HCPs), citizens (patients and their families), and services. This complex process is supported by policies: however, to date, no policy analysis on healthcare digitalization has been conducted in European countries to identify the main goals of digital transformation and its practical implementation. This research aimed to describe and compare the digital health policies across four European countries; namely, their priorities, their implementation in practice, and the digital competencies expected by HCPs. A multiple-case study was performed. Participants were the members of the Digital EducationaL programme invoLVing hEalth profEssionals (DELIVER), a project funded by the European Union under the Erasmus+ programme, involving three countries (Denmark, Italy, and Slovenia) and one autonomous region (Catalonia-Spain). Data were collected using two approaches: (a) a written interview with open-ended questions involving the members of the DELIVER project as key informants; and (b) a policy-document analysis. Interviews were analysed using the textual narrative synthesis and the word cloud policy analysis was conducted according to the Ready, Extract, Analyse and Distil approach. Results showed that all countries had established recent policies at the national level to address the development of digital health and specific governmental bodies were addressing the implementation of the digital transformation with specific ramifications at the regional and local levels. The words "health" and "care" characterized the policy documents of Denmark and Italy (309 and 56 times, 114 and 24 times, respectively), while "development" and "digital" (497 and 478 times, respectively) were common in the Slovenia document. The most used words in the Catalonia policy document were "data" and "system" (570 and 523 times, respectively). The HCP competencies expected are not clearly delineated among countries, and there is no formal plan for their development at the undergraduate, postgraduate, and continuing educational levels. Mutual understanding and exchange of good practices between countries may facilitate the digitalization processes; moreover, concrete actions in the context of HCP migration across Europe for employment purposes, as well as in the context of citizens' migration for healthcare-seeking purposes are needed to consider the differences emerged across the countries.

The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis

ContextArterial Hypertension (AH) and Diabetes Mellitus (DM) are diseases that are getting worse all over the world. Linked to this advance, is the growing digital health market with numerous mobile health applications, which aim to help patients and professionals in the proper management of chronic diseases. The aim of this study was to analyze, through a systematic review and meta-analysis, the effectiveness of using mobile health applications in monitoring AH and/or DM in the adult and elderly population.MethodsThe systematic review and meta-analysis was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Metanalyses guidelines and involved searching five databases – Medline/PubMed, Embase, CINAHL, Virtual Library in Health and Cochrane Library. The review included randomized and cohort clinical trials testing the effects of the intervention on changing biochemical parameters and clinical efficacy in people treated for AH and/or DM. The quality of the selected studies was assessed based on the evaluation criteria of the Joanna Briggs Institute tool. The random effects meta-analysis method was used to explain effect distribution between studies, by Stata® software (version 11.0) and publication bias was examined by visual inspection of graphs and Egger test.ResultsWe included 26 studies in the systematic review and 17 in the meta-analysis. These studies were published between 2014 to 2022 in 14 countries. Were reported improvement in knowledge and self-management of AH and DM, social motivation with treatment and behavioral change, reduction in glycated hemoglobin values, fasting glucose and blood pressure, improvement in adherence to drug treatment, among others. The result of the meta-analysis showed that there is evidence that the use of mobile applications can help reduce glycated hemoglobin by 0.39% compared to the usual care group.ConclusionsMonitoring and self-monitoring of behaviors and health care related to AH and DM in adults and the elderly through mobile applications, has clinically significant effectiveness in reducing glycated hemoglobin levels. Future studies should provide more evidence and recommendations for best practices and development of digital health interventions.Trial registrationPROSPERO. International Prospective Registry of Systematic Reviews. CRD42022361928.

Defining destigmatizing design guidelines for use in sexual health-related digital technologies: A Delphi study.

Stigma has been recognized as a significant issue in sexual health, yet no specific guidelines exist to support digital health development teams in creating stigma-alleviating sexual health digital platforms. The purpose of this study was to develop a set of design guidelines that would serve as a reference point for addressing stigma during the design of sexual health-related digital platforms. We conducted a 3-round Delphi study among 14 researchers in stigma and sexual health. A preliminary list of 28 design guidelines was generated from a literature review. Participants appraised and critiqued the clarity and usefulness of the preliminary list and provided comments for each item and for the overall group of items at each round. At each round, a content validity index and an interquartile range were calculated to determine the level of consensus regarding the clarity and usefulness of each guideline. Items were retained if there was high consensus or were dropped if there was no consensus after the three rounds. Nineteen design guidelines achieved consensus. Most of them were content-related guidelines and sought to address the emotional concerns of patients that could potentially aggravate stigma. The findings also reflected modern stigma management strategies of making stigma a societal attribute by challenging, exposing, and normalizing stigma attributes via web platforms. To address stigma via digital platforms, developers should not just concentrate on technical solutions but seriously consider content-related and emotional design components that are likely to result in stigma.

Evaluation of Chinese healthcare organizations' innovative performance in the digital health era.

Healthcare workers' relationship with industry is not merely an agent mediating between consumer and vendor, but they are also inventors of the interventions they exist to deliver. Driven by the background of the digital health era, scientific research and technological (Sci-tech) innovation in the medical field are becoming more and more closely integrated. However, scholars shed little light on Sci-tech relevance to evaluate the innovation performance of healthcare organizations, a distinctive feature of healthcare organizations' innovation in the digital health era. Academic publications and patents are the manifestations of scientific research outputs and technological innovation outcomes, respectively. The study extracted data from publications and patents of 159 hospitals in China to evaluate their innovation performance. A total of 18 indicators were constructed, four of which were based on text similarity match and represented the Sci-tech relevance. We then applied factor analyses, analytical hierarchy process, and logistic regression to construct an evaluation model. We also examined the relationship between hospitals' innovation performance and their geographical locations. Finally, we implemented a mediation analysis to show the influence of digital health on hospital innovation performance. A total of 16 indicators were involved, four of which represented the Sci-tech including the number of articles matched per patent (NAMP), the number of patents matched per article (NPMA), the proportion of highly matched patents (HMP), and the proportion of highly matched articles (HMA). Indicators of HMP (r = 0.52, P = 2.40 × 10-12), NAMP (r = 0.52, P = 2.54 × 10-12), and NPMA (r = 0.51, P = 5.53 × 10-12) showed a strong positive correlation with hospital innovation performance score. The evaluation model in this study was different from other Chinese existing hospital ranking systems. The regional innovation performance index (RIP) of healthcare organizations is highly correlated with per capita disposable income (r = 0.58) and regional GDP (r = 0.60). There was a positive correlation between digital health innovation performance scores and overall hospital innovation performance scores (r = 0.20). In addition, the hospitals' digital health innovation performance affected the hospital's overall innovation score with the mediation of Sci-tech relevance indicators (NPMA and HMA). The hospitals' digital health innovation performance score showed a significant correlation with the number of healthcare workers (r = 0.44). This study constructed an assessment model with four invented indicators focusing on Sci-tech relevance to provide a novel tool for researchers to evaluate the innovation performance of healthcare organizations in the digital health era. The regions with high RIP were concentrated on the eastern coastal areas with a higher level of economic development. Therefore, the promotion of scientific and technological innovation policies could be carried out in advance in areas with better economic development. The innovations in the digital health field by healthcare workers enhance the Sci-tech relevance in hospitals and boost their innovation performance. The development of digital health in hospitals depends on the input of medical personnel.

Trauma-Informed Care in Digital Health Technologies: Protocol for a Scoping Review.

The use of digital health technologies is becoming increasingly common across the globe as they offer immense potential to enhance health care delivery by promoting accessibility, flexibility, and personalized care, connecting patients to health care professionals, and offering more efficient services and treatments to remote residents. At the same time, there is an increasing recognition of how digital health can inadvertently foment psychological trauma. This phenomenon has led to the adoption of trauma-informed care in designing and deploying digital health technologies. However, how trauma-informed care is defined and characterized, and the various trauma-informed care strategies used in designing and deploying digital health technologies remain unexplored. This scoping review aims to explore and synthesize the literature on how trauma-informed care is defined and characterized in digital health and the various trauma-informed care principles, strategies, or recommendations used in designing and deploying digital health. This review will draw on the Joanna Briggs Institute's updated methodological guidance for scoping reviews. A search will be conducted on CINAHL, PubMed, Embase, Compendex Engineering Village, Web of Science, Scopus, and PsycINFO. This review will consider published research studies and unpublished work (gray literature). Studies will be included if they applied trauma-informed care in designing or deploying digital health for patients across all geographical locations or provide trauma-informed recommendations on how web developers should develop digital health. Studies will be limited to publications within the past 10 years and studies in all languages will be considered. Two independent reviewers will screen the titles and abstracts, and then perform a full-text review. Data will be extracted into a data extraction tool developed for this study. The scoping review was undergoing a full search as of April 2023. The main results will synthesize the peer-reviewed and gray literature on adopting trauma-informed care practices in digital health research and development. The study is expected to be completed by December 2023 and the results are expected to be published in a peer-reviewed journal. This review is expected to provide the knowledge base on the adoption of trauma-informed care in designing and deploying digital health. This knowledge can lead to more engaging, and likely, more effective digital health interventions that have less potential for harm. A synthesis of the various trauma-informed care strategies in digital health will also provide a trauma-informed language by enabling researchers and digital health developers to consider trauma as a critical factor in each stage of the design process. DERR1-10.2196/46842.

The Digitalization of India's Healthcare System: A Paradigm Shift amidst the COVID-19 Pandemic

Aim: This study examines the paradigm shift in India's healthcare sector due to the COVID-19 epidemic, explicitly focusing on adopting digital healthcare. The study explores the innovative initiatives undertaken by both the government and commercial sectors in virtual health and analyzes the long-term benefits of this transition.&#x0D; Methodology: The study utilizes a secondary research approach to investigate the development of India's digital healthcare system. Various sources such as reports, surveys, and official documents are reviewed to gather information on implementing digital health solutions. The study examines intelligent devices, telemedicine websites, and platforms like Arogya Setu that have played a crucial role in the digital healthcare revolution. Government programs such as the National Digital Health Mission (NDHM) and the establishment of e-hospitals are also analyzed to understand their impact. The study emphasizes the significance of data mining, the development of digital health records, and the necessary infrastructure to support digital healthcare.&#x0D; Results: The results indicate that the COVID-19 pandemic has accelerated the digitization of India's healthcare sector. Adopting digital health solutions, including telemedicine, wearable technology, and artificial intelligence, has gained significant momentum. Initiatives like the NDHM and the establishment of e-hospitals have contributed to the successful implementation of digital healthcare. The study highlights the benefits of digital healthcare, such as improved accessibility, cost-effectiveness, and accuracy of services. The importance of data mining and the development of digital health records are underscored as critical drivers of this transformation.&#x0D; Conclusion: To conclude, the COVID-19 pandemic has served as a driving force for the digital transformation of India's healthcare industry. The adoption of digital health solutions and the initiatives taken by the government lay the foundation for a more accessible and patient-centred healthcare future. The study emphasizes the significant implications of digital innovations in healthcare for healthcare organizations, medical device manufacturers, and remote care providers. While acknowledging that in-person treatment is still necessary and that comprehensive digitalization takes time, the study highlights the transformative potential of digitizing healthcare to improve access to care and enhance delivery methods. This digital revolution can potentially revolutionize the healthcare industry and improve healthcare outcomes.

Acceptability & Usability of a Wearable Device for Sleep Health Among English- and Spanish-Speaking Patients in the Safety-Net: Qualitative Analysis.

Sleep disorders are common and disproportionately affect marginalized populations. Technology such as wearable devices holds the potential to improve sleep quality and reduce sleep disparities, but most devices have not been designed or tested with racially, ethnically, and socioeconomically diverse patients. Inclusion and engagement of diverse patients throughout digital health development and implementation are critical to achieving health equity. This study aims to evaluate the usability and acceptability of a wearable sleep monitoring device - SomnoRing® - and its accompanying mobile application among patients treated in a safety net clinic. The study team recruited English- and Spanish-speaking patients from a mid-sized pulmonary and sleep medicine practice serving publicly insured patients. Eligibility criteria included initial evaluation of obstructed sleep apnea which is most appropriate for limited cardiopulmonary testing. Patients with primary insomnia or other suspected sleep disorders were not included. Patients tested the SomnoRing® over a seven-night period and participated in a one-hour semi-structured virtual qualitative interview covering perceptions of the device, motivators and barriers to use, and general experiences with digital health tools. The study team used inductive/deductive processes to code interview transcripts, guided by the Technology Acceptance Model. Twenty-one individuals participated in the study. All participants owned a smartphone, almost all (19/21) felt comfortable using their phone, and few already owned a wearable (6/21). Almost all participants wore the SomnoRing® for seven nights and found it comfortable. Four themes emerged from qualitative data: 1) the SomnoRing® was easy to use compared to other wearable devices or traditional home sleep testing alternatives such as the standard polysomnogram technology for sleep studies; 2) the patient's context and environment such as family and peer influence, housing status, access to insurance, and device cost affected overall acceptance of the SomnoRing®; 3) clinical champions motivated use in supporting effective onboarding, interpretation of data, and, ongoing technical support; and 4) participants desired more assistance and information to best interpret their own sleep data summarized in the companion app. Racially, ethnically, and socioeconomically diverse patients with sleep disorders perceived a wearable as useful and acceptable for sleep health. Participants also uncovered external barriers related to the perceived usefulness of the technology, such as housing status, insurance coverage, and clinical support. Future studies should further examine how to best address these barriers so that wearables, such as the SomnoRing®, can be successfully implemented in the safety-net health setting. This manuscript does not report on a clinical trial.

Multidisciplinary students’ self-evaluated competence at the beginning of studies in digital health and social care service specialisation education

Digital transformation in health and social care is a fast-growing sector globally. Multidisciplinary professionals are needed in the development of digital health and social care services. This study aimed to evaluate the self-assessments of students participating in specialisation education on the importance of multidisciplinary digital competences, focusing on competence in the digitalisation of social and health care and how they assess their own competences at the beginning of their education. The purpose was to describe the multidisciplinary competences in this area at EQF level 6 by using a self-assessment tool. Data were collected from 274 specialised education students in the years 2021 and 2022 from 14 universities of applied sciences. The background information included participants’ years of work experience, professional education area and study credits. There were nine competence areas. The survey contains 61 Likert scale questions. Cronbach’s alpha was 0.962 (N=126). The paired t-test was used for statistical analyses to determine the relationship between the importance of a competence and students’ current levels of competence. For each pair, the arithmetic mean for the how important variable was higher than the current competence variable. The average means of all competences’ differences was 1.04 between how important the competence was to the students and their current understanding of their own level of the particular competence. Service design competences have both the highest average level of student competence and variance in competence. The second-largest variance was in online guiding competences, which is one of the clearest competences for students to understand the content. These results may be explained by expert bias, where a person with a lot of knowledge rates their own level of knowledge lower, while a person with less knowledge does the opposite. The gap between current competence level and the assessed importance of the particular competence shows that there is a need for specialisation education in multidisciplinary competences for developing digital health and social care services. The overall result is a self-assessment tool that can be used to assess the level of competences in different competence areas in specialisation education. It is important for health and social care organisations to manage the competences and continuing education of their professionals.

Determinants of and Willingness to Use and Pay for Digital Health Technologies Among the Urban Elderly in Hangzhou, China.

In recent years, little research has been conducted on the willingness to use and pay for digital health technologies for elderly people. Thus, this study investigates the willingness to use and pay for digital health technologies and their influential factors among urban elderly in Hangzhou, China. A structured questionnaire was completed by 639 older adults from 12 communities in Hangzhou. This paper presents a descriptive statistics analysis and performs a multivariate regression to identify the determinants of willingness to use and pay for digital health technologies among the elderly. The result shows the percentage of participants who chose very willing (3.6%) and partly willing (10%) to use was lower than those who were less unwilling (26.4%) and not willing (27.1%) to use. The percentage of participants who are unwilling (less unwilling,30.5%; not willing, 39.7%) to pay for digital health technology is even higher. The regression results show that age, working status, exercise and physical activity, medical insurance, income, life satisfaction and history of illness were significantly associated with willingness to use digital health technology among urban elderly. On the other hand, age, exercise status, income and history of illness were significantly associated with willingness to pay for digital health technologies among older adults. The overall willingness to use and pay for digital health technologies are low among urban older people living in Hangzhou. Our results have important implications for digital health policy making. Practitioner and regulator should develop strategies to improve the supply of digital health technology services to meet different demands of the elderly with different age, working status, exercise and physical activity, medical insurance, income, life satisfaction and history of illness. And medical insurance would be an important instrument to facilitate digital health development.

Main trends in development and law regulation of electronic health in the European Union

The relevance of this research work lies in the fact that at present the EU policy standards are aimed at creating an ecosystem of digital (electronic) healthcare (eHealth). Digital medicine resources can radically transform healthcare, providing effective medical care, and improving diagnostics/treatment/rehabilitation methods. The aim of this article is to identify the main trends in the development and regulation of eHealth in the EU. Methods: A comprehensive review of trends and an analysis of key areas of digital health development in the EU based on the application of comparative law studies. The practical significance of the article is to identify some existing specific difficulties in the EU digital health infrastructure: those in their policy, those in accordance with regulatory requirements, in cybersecurity and exclusive rights to medical (personal) data, in the compatibility of national digital health platforms across Europe, in the principles of medical information handling, in digital therapy etc. Conclusions: Digital health in the EU is an area with an increased activity. In the EU, a common digital market is emerging, including digital health services within digital health, facilitated by the regulation and standardization of electronic prescriptions, patient data protection, digital identity and information security. The European digital health infrastructure, along with its achievements, is experiencing some difficulties, obsolete health regulations among them. At the same time, new approaches are now required to focus on digital tools and resources in order to provide full intelligent automation.

A survey of the knowledge, perceptions of and attitudes to digital health of healthcare professionals in 14 Bulgarian hospitals: First large-scale study on digital health in Bulgarian inpatient facilities.

To explore the knowledge, perceptions of and attitudes to digital health of Bulgarian hospital professionals in the first study of digital health in this professional group. A paper-based questionnaire was administered to doctors, trainee doctors, nurses, midwives, and laboratory assistants working in multiprofile or specialized hospitals. Topics included the following: state, objectives, benefits, and future of digital health; data storage, access, security, and sharing; main software used; patient-held Personal Information System (PIS); and telemedicine. A total of 1187 participants from 14 hospitals completed the survey in two phases: September 2013-April 2014 and May 2015-April 2017. Data were analyzed through descriptive statistics and multilevel logistic regression. Three-quarters of participants evaluated the state of development of digital health in Bulgaria as subpar (36.0% negative; 38.9% passable; 24.5% positive). 27.2% (323) endorsed patients having unconditional access to their data. In contrast, 89.5% (1062) of participants considered it appropriate to have full access to patient data recorded by colleagues. Doctors were more likely to endorse patients having access to their data than healthcare specialists (OR = 1.79 at facility, OR = 1.77 at location). The largely negative or lukewarm attitudes toward the state of development of digital health in Bulgaria are likely to result from the high number of failed projects, unmet expectations, misunderstood benefits, and unforeseen challenges. This study provides a much-needed stimulus and baseline for researching the ways in which the digital health landscape in Bulgaria has matured-or not.