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BACKGROUND: In the current digital era, eHealth literacy plays an indispensable role in health care and self-management among older adults with noncommunicable diseases (NCDs). Measuring eHealth literacy appropriately and accurately ensures the successful implementation and evaluation of pertinent research and interventions. However, existing eHealth literacy measures focus mainly on individuals' abilities of accessing and comprehending eHealth information (Web1.0), whereas the capabilities for web-based interaction (Web2.0) and using eHealth information (Web3.0) have not been adequately evaluated. OBJECTIVE: This study aimed to examine the reliability, validity, and measurement invariance of the eHealth Literacy Scale-Web3.0 (eHLS-Web3.0) among older adults with NCDs. METHODS: A total of 642 Chinese older adults with NCDs (mean age 65.78, SD 3.91 years; 55.8% female) were recruited in the baseline assessment, of whom 134 (mean age 65.63, SD 3.99 years; 58.2% female) completed the 1-month follow-up assessment. Baseline measures included the Chinese version of the 24-item 3D eHLS-Web3.0, the Chinese version of the 8-item unidimensional eHealth Literacy Scale (eHEALS), and demographic information. Follow-up measures included the 24-item eHLS-Web3.0 and accelerometer-measured physical activity and sedentary behavior. A series of statistical analyses, for example, Cronbach α, composite reliability coefficient (CR), confirmatory factor analysis (CFA), and multigroup CFA, were performed to examine the internal consistency and test-retest reliabilities, as well as the construct, concurrent, convergent, discriminant, and predictive validities, and the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence. RESULTS: Cronbach α and CR were within acceptable ranges of 0.89-0.94 and 0.90-0.97, respectively, indicating adequate internal consistency of the eHLS-Web3.0 and its subscales. The eHLS-Web3.0 also demonstrated cross-time stability, with baseline and follow-up measures showing a significant intraclass correlation of 0.81-0.91. The construct validity of the 3D structure model of the eHLS-Web3.0 was supported by confirmatory factor analyses. The eHLS-Web3.0 exhibited convergent validity with an average variance extracted value of 0.58 and a CR value of 0.97. Discriminant validity was supported by CFA results for a proposed 4-factor model integrating the 3 eHLS-Web3.0 subscales and eHEALS. The predictive validity of the eHLS-Web3.0 for health behaviors was supported by significant associations of the eHLS-Web3.0 with light physical activity (ß=.36, P=.004), moderate to vigorous physical activity (ß=.49, P<.001), and sedentary behavior (ß=-.26, P=.002). Finally, the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence was supported by the establishment of configural, metric, strong, and strict invariances. CONCLUSIONS: The present study provides timely empirical evidence on the reliability, validity, and measurement invariance of the eHLS-Web3.0, suggesting that the 24-item 3D eHLS-Web3.0 is an appropriate and valid tool for measuring eHealth literacy among older adults with NCDs within the Web3.0 sphere.
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Health Literacy , Noncommunicable Diseases , Telemedicine , Humans , Female , Male , Health Literacy/statistics & numerical data , Aged , Telemedicine/statistics & numerical data , Middle Aged , Reproducibility of Results , Surveys and Questionnaires/standards , ChinaABSTRACT
The Metaverse has gained wide attention for being the application interface for the next generation of Internet. The potential of the Metaverse is growing, as Web 3·0 development and adoption continues to advance medicine and healthcare. We define the next generation of interoperable healthcare ecosystem in the Metaverse. We examine the existing literature regarding the Metaverse, explain the technology framework to deliver an immersive experience, along with a technical comparison of legacy and novel Metaverse platforms that are publicly released and in active use. The potential applications of different features of the Metaverse, including avatar-based meetings, immersive simulations, and social interactions are examined with different roles from patients to healthcare providers and healthcare organizations. Present challenges in the development of the Metaverse healthcare ecosystem are discussed, along with potential solutions including capabilities requiring technological innovation, use cases requiring regulatory supervision, and sound governance. This proposed concept and framework of the Metaverse could potentially redefine the traditional healthcare system and enhance digital transformation in healthcare. Similar to AI technology at the beginning of this decade, real-world development and implementation of these capabilities are relatively nascent. Further pragmatic research is needed for the development of an interoperable healthcare ecosystem in the Metaverse.
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Blockchain technology can address data falsification, single point of failure (SPOF), and DDoS attacks on centralized services. By utilizing IoT devices as blockchain nodes, it is possible to solve the problem that it is difficult to ensure the integrity of data generated by using current IoT devices. However, as the amount of data generated by IoT devices increases, scalability issues are inevitable. As a result, large amounts of data are managed on external cloud storage or distributed file storage. However, this has the disadvantage of being outside the blockchain network. This makes it difficult to ensure reliability and causes high latency during data download and upload. To address these limitations, we propose a method for managing large amounts of data in the local storage node of a blockchain network with improved latency and reliability. Each blockchain network node stores data, which is synchronized and recovered based on reaching a consensus between smart contracts in a cluster network. The cluster network consists of a service leader node that serves as a gateway for services and a cluster node that stores service data in storage. The blockchain network stores synchronization and recovery metadata created in the cluster network. In addition, we showed that the performance of smart contract execution, network transmission, and metadata generation, which are elements of the proposed consensus process, is not significantly affected. In addition, we built a service leader node and a cluster node by implementing the proposed structure. We compared the performance (latency) of IoT devices when they utilized the proposed architecture and existing external distributed storage. Our results show improvements up to 4 and 10 times reduction in data upload (store) and download latency, respectively.
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With the rise of globalization and technological competition, the food supply chain has grown more complex due to the multiple players and factors involved in the chain. Traditional systems fail to offer effective and reliable traceability solutions considering the increasing requirement for accountability and transparency in the food supply chain. Blockchain technology has been claimed to offer the food industry a transformative future. The inherent features of blockchain, including immutability and transparency, create a dependable and secure system for tracking food products across the whole supply chain, ensuring total control over their traceability from the origin to the final consumer. This research offers a comprehensive overview of multiple models to understand how the integration of blockchain and other digital technologies has transformed the food supply chain. This comprehensive systematic review of blockchain-based food-supply-chain frameworks aimed to uncover the capability of blockchain technology to revolutionize the industry and examined the current landscape of blockchain-based food traceability solutions to identify areas for improvement. Furthermore, the research investigates recent advancements and investigates how blockchain aligns with other emerging technologies of Industry 4.0 and Web 3.0. Blockchain technology plays an important role in improving food traceability and supply-chain operations. Potential synergies between blockchain and other emerging technologies of Industry 4.0 and Web 3.0 are digitizing food supply chains, which results in better management, automation, efficiencies, sustainability, verifiability, auditability, accountability, traceability, transparency, tracking, monitoring, response times and provenance across food supply chains.
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BACKGROUND: New technologies have resulted in dramatic shifts in the field of medicine, and it stands to reason that metaverse will also affect the practice of allergy and immunology. This study aimed to determine the attitudes of allergists and raise awareness about metaverse applications in allergy and immunology. METHODS: A nationwide survey-based study was conducted in Turkey. First, a 28-item questionnaire was developed and sent to Turkish allergists. After completing the first questionnaire, the participants were asked to watch a 5-min informative video about the metaverse. Lastly, a second survey was conducted to evaluate the changes in the views of the participants. RESULTS: A total of 148 allergy doctors in Turkey participated in the survey. After watching a video containing updated information about the metaverse, there was a significant increase in the importance that participants attributed to the use of virtual reality and augmented reality applications in the field of immunology and allergy (P < 0.05). Additionally, there was a significant increase in the percentage of participants who thought that Metaverse applications could be integrated into the existing system and said that this possibility excited them (P < 0.05). There was also a significant increase in the percentage of participants who thought this innovative technology could be helpful in patient examination, student and physician education, allergy testing, and patient education (P < 0.05). CONCLUSIONS: Our results demonstrate that providing information to professionals working in the field can positively influence physicians' views on the potential of the metaverse, which is a valuable tool in the field of immunology and allergy.
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Hypersensitivity , Humans , Hypersensitivity/diagnosis , Hypersensitivity/epidemiology , Hypersensitivity/therapy , Surveys and Questionnaires , Allergists , TurkeyABSTRACT
Background: New technologies have resulted in dramatic shifts in the field of medicine, and it stands to reason that metaverse will also affect the practice of allergy and immunology. This study aimed to determine the attitudes of allergists and raise awareness about metaverse applications in allergy and immunology.Methods: A nationwide survey-based study was conducted in Turkey. First, a 28-item questionnaire was developed and sent to Turkish allergists. After completing the first questionnaire, the participants were asked to watch a 5-min informative video about the metaverse. Lastly, a second survey was conducted to evaluate the changes in the views of the participants.Results: A total of 148 allergy doctors in Turkey participated in the survey. After watching a video containing updated information about the metaverse, there was a significant increase in the importance that participants attributed to the use of virtual reality and augmented reality applications in the field of immunology and allergy (P < 0.05). Additionally, there was a significant increase in the percentage of participants who thought that Metaverse applications could be integrated into the existing system and said that this possibility excited them (P < 0.05). There was also a significant increase in the percentage of participants who thought this innovative technology could be helpful in patient examination, student and physician education, allergy testing, and patient education (P < 0.05).Conclusions: Our results demonstrate that providing information to professionals working in the field can positively influence physicians views on the potential of the metaverse, which is a valuable tool in the field of immunology and allergy. (AU)
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Humans , Health Care Surveys , Medical Informatics Applications , Allergy and Immunology/trends , Cross-Sectional Studies , TurkeyABSTRACT
The landscape of psychiatry is ever evolving and has recently begun to be influenced more heavily by new technologies. One novel technology which may have particular application to psychiatry is the metaverse, a three-dimensional digital social platform accessed via augmented, virtual, and mixed reality (AR/VR/MR). The metaverse allows the interaction of users in a virtual world which can be measured and manipulated, posing at once exciting new possibilities and significant potential challenges and risks. While the final form of the nascent metaverse is not yet clear, the immersive simulation and holographic mixed reality-based worlds made possible by the metaverse have the potential to redefine neuropsychiatric care for both patients and their providers. While a number of applications for this technology can be envisioned, this article will focus on leveraging the metaverse in three specific domains: medical education, brain stimulation, and biofeedback. Within medical education, the metaverse could allow for more precise feedback to students performing patient interviews as well as the ability to more easily disseminate highly specialized technical skills, such as those used in advanced neurostimulation paradigms. Examples of potential applications in brain stimulation and biofeedback range from using AR to improve precision targeting of non-invasive neuromodulation modalities to more innovative practices, such as using physiological and behavioral measures derived from interactions in VR environments to directly inform and personalize treatment parameters for patients. Along with promising future applications, we also discuss ethical implications and data security concerns that arise when considering the introduction of the metaverse and related AR/VR technologies to psychiatric research and care.
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BACKGROUND: The information technology has developed rapidly with the evolution of internet environment transformed from requiring computer skills for information searching to self-managing health data and applying information. Therefore, a more diverse range of eHealth skills is required and these skills are referred as eHealth literacy. However, most eHealth literacy studies focused mainly on information searching skills. Little is known about eHealth usage behaviors of college students in this day and age. OBJECTIVES: This study aimed to investigate how Chinese college students engage with eHealth tools and to determine the elements of their eHealth literacy. METHODS: A purposive sample of 18 Chinese college students was recruited for in-depth interviews. Interviewees included three males and three females of each city (Beijing, Wuhan and Putian) from sports, medical, and non-health-related majors. Conventional content analysis was applied for data analysis. RESULTS: The eHealth usage of different-major-students were compared and profiled by three themes of Expectance, Usage pattern and Perception. In Expectances, non-health major students applied eHealth only for urgent health need, sport major students used it to monitor health while medical major students, as frequent users for searching health database. In Usage pattern, purposes of eHealth for personal, practical and theoretical were identified for non-health major, sport major and medical major groups, respectively. In Perceptions, sport students felt more curious about eHealth than the other groups who perceived either fear (non-health students) or skeptical (medical students). By compiling those themes, the whole picture of eHealth usage was emerged. Based on that, the current study identified the related skills using the trilogy of Web 1.0 to 3.0, and derived a conceptual framework for eHealth literacy in the present day. CONCLUSIONS: The current study obtained a comprehensive understanding of eHealth usage and a framework of eHealth literacy required for Chinese college students. And it gives a clearer look at web 3.0 related eHealth behaviors.
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Health Literacy , Students, Medical , Telemedicine , China , Female , Humans , Male , Surveys and QuestionnairesABSTRACT
Objective To establisha high altitude military medicine digital library ( HAMMDL) in order to integrate high altitude military medicine ( HAMM ) digital resources and promote transformation of HAMM technology to health service application.Methods The solution of Web 3.0-basedHAMMDL was proposed.Ontology, the metadata and Wiki paradigm were used to manage and present resources , while the Model-View-Controller pattern was used in software design .Results Based on analysis of the functional requirements and key techniques of HAMMDL , design principles were proposed the hierarchical software architecture pattern was designed , the software supporting technology was provided and the construction method of HAMM ontologies was discussed .Conclusion With the synthesized application of relative technologies , smart utilization and socialized content management pattern of HAMM digital resources can be achieved .
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The concept and technology of Web 3.0 are influencing and changing the study, work and life styles of people, and the library is using Web 3.0 to find out the high confidence UGC resources, improve the knowledge discovery and knowledge service ability of digital library, help library to search the mutually-accepted user groups according to their interests, provide the personal information service, and innovate the displaying methods of digital library.
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INTRODUCTION: Both for curricular development and mapping, as well as for orientation within the mounting supply of learning resources in medical education, the Semantic Web ("Web 3.0") poses a low-threshold, effective tool that enables identification of content related items across system boundaries. Replacement of the currently required manual with an automatically generated link, which is based on content and semantics, requires the use of a suitably structured vocabulary for a machine-readable description of object content. Aim of this study is to compile the existing taxonomies and ontologies used for the annotation of medical content and learning resources, to compare those using selected criteria, and to verify their suitability in the context described above. METHODS: Based on a systematic literature search, existing taxonomies and ontologies for the description of medical learning resources were identified. Through web searches and/or direct contact with the respective editors, each of the structured vocabularies thus identified were examined in regards to topic, structure, language, scope, maintenance, and technology of the taxonomy/ontology. In addition, suitability for use in the Semantic Web was verified. RESULTS: Among 20 identified publications, 14 structured vocabularies were identified, which differed rather strongly in regards to language, scope, currency, and maintenance. None of the identified vocabularies fulfilled the necessary criteria for content description of medical curricula and learning resources in the German-speaking world. DISCUSSION: While moving towards Web 3.0, a significant problem lies in the selection and use of an appropriate German vocabulary for the machine-readable description of object content. Possible solutions include development, translation and/or combination of existing vocabularies, possibly including partial translations of English vocabularies.