Electronic Health Literacy as a Source of Self-Efficacy Among Community-Dwelling Older Adults.

OBJECTIVES: Health-related factors, such as health status, health anxiety, and health literacy, are established contributors to self-efficacy. However, the relationship between electronic health literacy and self-efficacy is less known. The present study examined the role of electronic health literacy in relation to self-efficacy among community-dwelling older adults. METHODS: Cross-sectional survey data were collected in the United States between September 2022 and March 2023. The survey dataset consisted of 191 responses from individuals in the United States who were ages 65 or older. It provided information about survey respondents' sociodemographic status, perceived health status, health anxiety, electronic health literacy, and self-efficacy. Hierarchical linear regression was conducted to analyze the data. RESULTS: Electronic health literacy was positively related to self-efficacy, and health anxiety was negatively related to self-efficacy, with sociodemographic status and perceived health status controlled. CONCLUSIONS: The results indicate that electronic health literacy can be a source of self-efficacy among community-dwelling older adults. CLINICAL IMPLICATIONS: Improving older adults' electronic health literacy may help them maintain self-efficacy, and the improvement should be made, especially in the domains of evaluating health information found on the internet and making decisions based on the information.

Exploring the mechanisms driving elderly Fintech engagement: the role of social influence and the elderly's digital literacy.

Objective: This study aims to investigate the elderly digital engagement (acceptance and utilization of technology), with a focus on the widespread application of financial technology: mobile banking (m-banking). Methods: Guided by social influence theory, the research examines the various social dynamics that encourage elderly engagement with m-banking and the moderating effects of their digital literacy. Data was gathered online utilizing a disjunctive approach and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results: The study reveals that both word-of-mouths (WOMs) and peer engagement significantly influence the elderly's perceived usefulness of the platform, thereby influencing their m-banking engagement. Additionally, the level of digital literacy among older adults was found to impact their perceived usefulness of m-banking services. Interestingly, digital literacy among older adults negatively moderates the positive associations of WOMs and peer engagement on perceived usefulness. Discussion: These insights advance our understanding of how social interactions can steer technological engagement, particularly for the silver generation with diverse levels of digital literacy. As society ages and becomes increasingly digitized, it is imperative to promote digital engagement among the elderly and foster a more inclusive digital environment.

Peer creation and sharing of mnemonics in collaborative documents for pathology education: a pilot study.

BACKGROUND: Mnemonic techniques are memory aids that could help improve memory encoding, storage, and retrieval. Using the brain's natural propensity for pattern recognition and association, new information is associated with something familiar, such as an image, a structure, or a pattern. This should be particularly useful for learning complex medical information. Collaborative documents have the potential to revolutionize online learning because they could increase the creativity, productivity, and efficiency of learning. The purpose of this study was to investigate the feasibility of combining peer creation and sharing of mnemonics with collaborative online documents to improve pathology education. METHODS: We carried out a prospective, quasi-experimental, pretest-posttest pilot study. The intervention group was trained to create and share mnemonics in collaborative documents for pathological cases, based on histopathological slides. The control group compared analog and digital microscopy. RESULTS: Both groups consisted of 41 students and did not reveal demographic differences. Performance evaluations did not reveal significant differences between the groups' pretest and posttest scores. Our pilot study revealed several pitfalls, especially in instructional design, time on task, and digital literacy, that could have masked possible learning benefits. CONCLUSIONS: There is a gap in evidence-based research, both on mnemonics and on CD in pathology didactics. Even though, the combination of peer creation and sharing of mnemonics is very promising from a cognitive neurobiological standpoint, and collaborative documents have great potential to promote the digital transformation of medical education and increase cooperation, creativity, productivity, and efficiency of learning. However, the incorporation of such innovative techniques requires meticulous instructional design by teachers and additional time for students to become familiar with new learning methods and the application of new digital tools to promote also digital literacy. Future studies should also take into account validated high-stakes testing for more reliable pre-posttest results, a larger cohort of students, and anticipate technical difficulties regarding new digital tools.

Effect of a Structured Multilevel Telehealth Service on Hospital Admissions and Mortality During COVID-19 in a Resource-Limited Region in Brazil: Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic represented a great stimulus for the adoption of telehealth and many initiatives in this field have emerged worldwide. However, despite this massive growth, data addressing the effectiveness of telehealth with respect to clinical outcomes remain scarce. OBJECTIVE: The aim of this study was to evaluate the impact of the adoption of a structured multilevel telehealth service on hospital admissions during the acute illness course and the mortality of adult patients with flu syndrome in the context of the COVID-19 pandemic. METHODS: A retrospective cohort study was performed in two Brazilian cities where a public COVID-19 telehealth service (TeleCOVID-MG) was deployed. TeleCOVID-MG was a structured multilevel telehealth service, including (1) first response and risk stratification through a chatbot software or phone call center, (2) teleconsultations with nurses and medical doctors, and (3) a telemonitoring system. For this analysis, we included data of adult patients registered in the Flu Syndrome notification databases who were diagnosed with flu syndrome between June 1, 2020, and May 31, 2021. The exposed group comprised patients with flu syndrome who used TeleCOVID-MG at least once during the illness course and the control group comprised patients who did not use this telehealth service during the respiratory illness course. Sociodemographic characteristics, comorbidities, and clinical outcomes data were extracted from the Brazilian official databases for flu syndrome, Severe Acute Respiratory Syndrome (due to any respiratory virus), and mortality. Models for the clinical outcomes were estimated by logistic regression. RESULTS: The final study population comprised 82,182 adult patients with a valid registry in the Flu Syndrome notification system. When compared to patients who did not use the service (n=67,689, 82.4%), patients supported by TeleCOVID-MG (n=14,493, 17.6%) had a lower chance of hospitalization during the acute respiratory illness course, even after adjusting for sociodemographic characteristics and underlying medical conditions (odds ratio [OR] 0.82, 95% CI 0.71-0.94; P=.005). No difference in mortality was observed between groups (OR 0.99, 95% CI 0.86-1.12; P=.83). CONCLUSIONS: A telehealth service applied on a large scale in a limited-resource region to tackle COVID-19 was related to reduced hospitalizations without increasing the mortality rate. Quality health care using inexpensive and readily available telehealth and digital health tools may be delivered in areas with limited resources and should be considered as a potential and valuable health care strategy. The success of a telehealth initiative relies on a partnership between the involved stakeholders to define the roles and responsibilities; set an alignment between the different modalities and levels of health care; and address the usual drawbacks related to the implementation process, such as infrastructure and accessibility issues.

Digital and technological solutions in cardiovascular nursing and perspectives for a smooth digital shift: A discussion paper.

Digital and technological solutions (DTS) in cardiovascular nursing are profoundly transforming the landscape of patient care by integrating advanced data-driven approaches. DTS help to enhance patient outcomes and streamline clinical workflows, supporting the shift of the traditional roles of healthcare providers and patients towards more engaged and collaborative care processes. This article presents a perspective in this regard. The adoption of DTS, including mobile health applications and wearable devices, enables continuous monitoring and management of patient health, fostering significant improvements in cardiovascular health management. However, the rapid incorporation of such technologies presents various challenges, such as robust data standardization, the development of digital literacy among healthcare professionals, and addressing privacy and security concerns. Effective integration of DTS into nursing practice demands structured clinical curricula that equip nurses with essential technological skills and a deep understanding of ethical considerations. Theoretical frameworks should guide the systematic implementation and integration of digital tools, ensuring comprehensive consideration of the complexities involved in digital transformations in healthcare.

Automated Monitoring of Human-Computer Interaction for Assessing Teachers' Digital Competence Based on LMS Data Extraction.

The fast-paced evolution of technology has compelled the digitalization of education, requiring educators to interact with computers and develop digital competencies relevant to the teaching-learning process. This need has prompted various organizations to define frameworks for assessing digital competency emphasizing teachers' interaction with computer technologies in education. Different authors have presented assessment methods for teachers' digital competence based on the video analysis of recorded classes using sensors such as cameras, microphones, or electroencephalograms. The main limitation of these solutions is the large number of resources they require, making it difficult to assess large numbers of teachers in resource-constrained environments. This article proposes the automation of teachers' digital competence evaluation process based on monitoring metrics obtained from teachers' interaction with a Learning Management System (LMS). Based on the Digital Competence Framework for Educators (DigCompEdu), indicators were defined and extracted that allow automatic measurement of a teacher's competency level. A tool was designed and implemented to conduct a successful proof of concept capable of automating the evaluation process of all university faculty, including 987 lecturers from different fields of knowledge. Results obtained allow for drawing conclusions on technological adoption according to the teacher's profile and planning educational actions to improve these competencies.

[Abordaje y atención a la cronicidad con tecnologías digitales en las políticas sanitarias en España]. / Approach and attention to chronicity with digital technologies in health policies in Spain.

OBJECTIVE: From the healthcare policies that support Public Health strategies, technology implementation in healthcare is an innovative element to address chronicity. Its introduction is not uniform across Spain, despite of the existence of digital strategic implementation and national chronicity plans. The aim of this paper was to explore the current deployment of autonomic strategies for chronicity and the implementation of digital tools for telemonitoring and user support. METHODS: A descriptive cross-sectional study was conducted through documental review of autonomous strategies in digital health and chronicity care, available until 2020. Consequently, a consultation was carried out to eighteen experts addressing autonomic availability, benefits and barriers to healthcare digitalization. RESULTS: The expert consultation revealed that, in fifteen autonomous communities, the use and the enhancement of digital technologies were addressed and in nine the focus was on promoting digital transformation. Eleven communities are working on updates, fourteen have health-related digital applications, thirteen allow users checking their test results, ten allow them to carry out administrative procedures, nine deliver patient support resources, and three provide telematic communication channels. 38.89% of the consulted refered not knowing about the existence of any follow-up and monitoring programs in their community. The 60% identified a gap in digital competencies among citizens and the lack of resources, as main barriers to implementation. CONCLUSIONS: There exists disparity in the update of strategies to address chronicity and the introduction of digital technologies. Many of them are currently updating, which is an opportunity to provide efficient responses that incorporate digital tools.

OBJECTIVE: La implementación de tecnologías digitales supone un elemento innovador para el abordaje de la cronicidad, como parte de las estrategias de Salud Pública. Su implantación es variable a nivel autonómico, pese a existir un plan nacional. Este trabajo pretendió conocer el despliegue de las estrategias autonómicas sobre cronicidad, así como de la implementación de opciones de telemonitorización y apoyo al usuario. METHODS: Se realizó un estudio descriptivo transversal mediante revisión documental de las estrategias autonómicas de salud digital y abordaje de la cronicidad disponibles hasta 2020. Se realizó una posterior consulta a dieciocho personas expertas sobre disponibilidad autonómica, beneficios y barreras a la digitalización de la atención sanitaria. RESULTS: La consulta a personas expertas reveló que quince comunidades autónomas abordaron el uso y la potenciación de tecnologías digitales y nueve trabajaron en favorecer la trasformación digital. Once comunidades trabajan en actualizaciones, catorce tienen aplicaciones digitales de salud, trece permiten a los ciudadanos consultar resultados de pruebas, diez permiten trámites administrativos, nueve ofrecen recursos de apoyo al paciente y tres disponen de canales telemáticos de comunicación. El 38,89% de los consultados refirió no conocer los programas de seguimiento y monitorización en su comunidad. El 60% identificó a la falta de competencias digitales de la ciudadanía y a la falta de recursos como barreras de su implantación. CONCLUSIONS: Existe disparidad en la actualización de estrategias para el abordaje de la cronicidad y la implantación de tecnologías digitales. Muchas de ellas se están actualizando, lo que supone una oportunidad para dar respuestas eficientes que incorporen las herramientas digitales.

Factors Affecting Usage of a Digital Asthma Monitoring Application by Old-Age Asthmatics Living in Inner Central Portugal.

Purpose: To analyse factors affecting the ability to use the digital asthma monitoring application Mask-Air® in old-age individuals living in inland Portugal. Patients and Methods: In this observational study, patients with medically confirmed asthma who agreed to participate were interviewed and subdivided into Non-users Group: those who could not use the application and Users Group: those who could. Sociodemographic and psychological data, comorbidities, and asthma status were compared between groups. Assessment of reasons for refusal was based on a 6-item questionnaire. Results: Among the 72 sequentially recruited patients (mean age±SD 73.26±5.43 yrs; 61 women; 11 men), 44 (61.1%; mean age±SD 74.64±5.68 yrs; 38 women; 6 men)) were included in Non-users Group and 28 (38.9%; mean age±SD 71.11±4.26 yrs; 23 women; 5 men) in Users Group. Non-users Group patients were significantly older, had lower socioeconomic level, and more frequently had severe asthma (25% vs 3.6%; Odds ratio=0.08 (95% CI=0.01-0.81; p=0.033)) and diabetes (32.6% vs 7.4%; Odds ratio=0.17 (95% CI=0.03-0.80; p=0.025)) than Users Group. The main reasons for not using the App were "Lack of required hardware" (n=35) and "Digital illiteracy" (n=26), but lack of interest to use the App among those who had conditions to use it was uncommon. Conclusion: Most old-age asthmatics living in Beira Interior either lack a smartphone or digital skills, which are significant obstacles to implementing app-based monitoring studies.

This study was done to see whether it was possible to use a mobile phone application (App) to help old-age asthmatics living in inner Central Portugal better monitor and self-manage their disease. The researchers interviewed a group of 72 patients with proven asthma who agreed to participate in the study. This group was subdivided into two subgroups: Non-users Group (44 patients) included those who could not use the App because they did not have a smartphone; Users Group (28 patients) included those who had all the conditions to use the App. Patients were helped to download the App (called MASK-Air), were given a thorough explanation about it, and about how it should be used on a daily basis to monitor their asthma symptoms. The researchers found that patients in Non-users Group were significantly older, had worse socioeconomic conditions, and more often had severe asthma and diabetes. They also discovered that the main reasons for not using the App were lack of a smartphone and not knowing how to use a smartphone. These results show that lacking a smartphone and not knowing how to use digital tools are frequent situations in old-age asthmatics living in inner Central Portugal, and these may be obstacles for patients in monitoring their own asthma symptoms.

It's about time! Exploring time allocation patterns of adults with lower literacy skills on a digital assessment.

Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program for the International Assessment of Adult Competencies (PIAAC), to investigate adult respondents' patterns of engagement across all proficiency levels on nine digital literacy items. We used cluster analysis to identify distinct groups with similar time allocation patterns among adults scoring lower on the digital literacy assessment. Finally, we employed logistic regression to examine whether the groups varied by demographic factors, in particular individual (e.g., race/ethnicity, age) and contextual factors (e.g., skills-use at home). Results: Adults with lower literacy skills spent significantly less time on many of the items than adults with higher literacy skills. Among adults with lower literacy skills, two groups of time allocation patterns emerged: one group (Cluster 1) exhibited significantly longer engagement times, whereas the other group (Cluster 2) demonstrated comparatively shorter durations. Finally, we found that adults who had a higher probability of Cluster 1 membership (spending more time) exhibited relatively higher literacy scores, higher self-reported engagement in writing skills at home, were older, unemployed, and self-identified as Black. Discussion: These findings emphasize differences in digital literacy engagement among adults with varying proficiency levels. Additionally, this study provides insights for the development of targeted interventions aimed at improving digital literacy assessment outcomes for adults with lower literacy skills.

eHealth Literacy and the Use of NHS 111 Online Urgent Care Service in England: Cross-Sectional Survey.

BACKGROUND: Many health care systems have used digital technologies to support care delivery, a trend amplified by the COVID-19 pandemic. "Digital first" may exacerbate health inequalities due to variations in eHealth literacy. The relationship between eHealth literacy and web-based urgent care service use is unknown. OBJECTIVE: This study aims to measure the association between eHealth literacy and the use of NHS (National Health Service) 111 online urgent care service. METHODS: A cross-sectional sequential convenience sample survey was conducted with 2754 adults (October 2020-July 2021) from primary, urgent, or emergency care; third sector organizations; and the NHS 111 online website. The survey included the eHealth Literacy Questionnaire (eHLQ), questions about use, preferences for using NHS 111 online, and sociodemographic characteristics. RESULTS: Across almost all dimensions of the eHLQ, NHS 111 online users had higher mean digital literacy scores than nonusers (P<.001). Four eHLQ dimensions were significant predictors of use, and the most highly significant dimensions were eHLQ1 (using technology to process health information) and eHLQ3 (ability to actively engage with digital services), with odds ratios (ORs) of 1.86 (95% CI 1.46-2.38) and 1.51 (95% CI 1.22-1.88), respectively. Respondents reporting a long-term health condition had lower eHLQ scores. People younger than 25 years (OR 3.24, 95% CI 1.87-5.62) and those with formal qualifications (OR 0.74, 95% CI 0.55-0.99) were more likely to use NHS 111 online. Users and nonusers were likely to use NHS 111 online for a range of symptoms, including chest pain symptoms (n=1743, 70.4%) or for illness in children (n=1117, 79%). The users of NHS 111 online were more likely to have also used other health services, particularly the 111 telephone service (χ12=138.57; P<.001). CONCLUSIONS: These differences in eHealth literacy scores amplify perennial concerns about digital exclusion and access to care for those impacted by intersecting forms of disadvantage, including long-term illness. Although many appear willing to use NHS 111 online for a range of health scenarios, indicating broad acceptability, not all are able or likely to do this. Despite a policy ambition for NHS 111 online to substitute for other services, it appears to be used alongside other urgent care services and thus may not reduce demand.

The impact of digital literacy on personal health: Evidence from the China family panel study.

BACKGROUND: In the digital era, digital literacy is a fundamental indicator of a nation's quality and plays a crucial role in public health. Exploring the theoretical mechanisms and effects of digital literacy on individuals' health is of great practical importance, advancing the initiatives of 'Digital China' and 'Healthy China'. METHODS: The study utilised three-period survey panel data from the China Family Panel Study spanning 2016, 2018, and 2020 to measure and evaluate levels of digital literacy, physical health, mental health, healthy lifestyle, and integrated health among the participants. Subsequently, a series of empirical analyses were conducted to examine the general impact, heterogeneous effects and transmission pathways of digital literacy on various types of health levels. RESULTS: Digital literacy significantly enhances all aspects of respondents' health, and this conclusion remains valid even after conducting robustness tests and addressing endogeneity through variable substitution and selecting instrumental variables using the 2SLS method. Furthermore, examining heterogeneity by considering individual traits and the makeup of digital literacy reveals that the impact of digital literacy on individuals' health varies according to age, cultural background, personal income, and the components of digital literacy. Pathway analyses also demonstrate that medical accessibility, information access, social network, and planned behaviour are key routes through which digital literacy enhances the health of the population. CONCLUSIONS: It is imperative for the government to actively promote the advancement of the digital healthcare industry, while individuals should strive to enhance their digital literacy. By collectively focussing on these efforts, national health can be significantly improved.

Insights Into the Use of a Digital Healthy Aging Coach (AGATHA) for Older Adults From Malaysia: App Engagement, Usability, and Impact Study.

BACKGROUND: Digital inclusion is considered a pivotal social determinant of health, particularly for older adults who may face significant barriers to digital access due to physical, sensory, and social limitations. Avatar for Global Access to Technology for Healthy Aging (AGATHA) is a virtual healthy aging coach developed by the World Health Organization to address these challenges. Designed as a comprehensive virtual coach, AGATHA comprises a gamified platform that covers multiple health-related topics and modules aimed at fostering user engagement and promoting healthy aging. OBJECTIVE: The aim of this study was to explore the perception and user experience of Malaysian older adults in their interactions with the AGATHA app and its avatar. The focus of this study was to examine the engagement, usability, and educational impact of the app on health literacy and digital skills. METHODS: We performed a qualitative study among adults 60 years and older from suburban and rural communities across six states in Malaysia. Participants were purposefully recruited to ensure representation across various socioeconomic and cultural backgrounds. Each participant attended a 1-hour training session to familiarize themselves with the interface and functionalities of AGATHA. Subsequently, all participants were required to engage with the AGATHA app two to three times per week for up to 2 weeks. Upon completion of this trial phase, an in-depth interview session was conducted to gather detailed feedback on their experiences. RESULTS: Overall, the participants found AGATHA to be highly accessible and engaging. The content was reported to have a comprehensive structure and was delivered in an easily understandable and informative manner. Moreover, the participants found the app to be beneficial in enhancing their understanding pertaining to health-related issues in aging. Some key feedback gathered highlighted the need for increased interactive features that would allow for interaction with peers, better personalization of content tailored to the individual's health condition, and improvement in the user-experience design to accommodate older users' specific needs. Furthermore, enhancements in decision-support features within the app were suggested to better assist users in making health decisions. CONCLUSIONS: The prototype digital health coaching program AGATHA was well received as a user-friendly tool suitable for beginners, and was also perceived to be useful to enhance older adults' digital literacy and confidence. The findings of this study offer important insights for designing other digital health tools and interventions targeting older adults, highlighting the importance of a user-centered design and personalization to improve the adoption of digital health solutions among older adults. This study also serves as a useful starting point for further development and refinement of digital health programs aimed at fostering an inclusive, supportive digital environment for older adults.

Why is health literacy an essential component of health of individuals with chronic kidney disease / Pourquoi la littératie en santé est une composante essentielle de la santé des individus ayant une maladie rénale chronique.

Health literacy (HL) is the ability of individuals to access, understand and use health information to improve their health. It is a multidimensional and contextual concept, whose definition has been enriched over time. Considered both as a health risk factor and a skill to be developed by individuals, HL also depends on the healthcare system in which patients have to navigate, and on healthcare professionals' awareness of this concept. In order to promote shared decision-making and thus individual empowerment in the healthcare, HL should be at the core of the concerns of nephrology care teams.

La littératie en santé (LS) est la capacité d'un individu à accéder à des informations en santé, à les comprendre et à les utiliser pour améliorer son état de santé. Il s'agit d'un concept pluridimensionnel et contextuel dont la définition s'est enrichie au fil du temps. Considérée à la fois comme un facteur de risque pour la santé et une aptitude à développer chez les individus, la LS dépend également du système de santé dans lequel les patients doivent naviguer et de la sensibilisation des professionnels de santé à ce concept. Afin de favoriser la décision partagée et ainsi l'émancipation des individus en matière de santé, la LS devrait être au cœur des préoccupations des équipes de néphrologie.

Digital skills among youth: A dataset from a three-wave longitudinal survey in six European countries.

This dataset provides longitudinal survey data from a European project, ySKILLS, which was focused on the role of digital skills in youths' development. It contains data from 10,821 participants from Grades 6-10 (in Wave 1) in Estonia, Finland, Germany, Italy, Poland, and Portugal. The data was collected between Spring 2021 and Spring 2023, the participants were recruited through schools, where the data collection also took place, except for online data collections due to restrictions caused by COVID-19. The dataset is novel in its multidimensional approach to the construct of digital literacy. It provides insight into the development of digital skills in youth and the role of digital skills and internet usage in youths' positive and negative online experiences and wellbeing. It also contains data that allows for the analysis of the role of digital skills in class networks. The data are beneficial for researchers interested in the examination of youths' online skills, internet usage, online experiences, and wellbeing from a longitudinal perspective.

Data of digital literacy level measurement of Indonesian students: Based on the components of ability to use media, advanced use of digital media, managing digital learning platforms, and ethics and safety in the use of digital media.

This dataset portrays the measurement of Digital Literacy of students based on the components Ability to use Media (Am), Advanced use of Digital Media (Adm), Managing Digital Learning Platforms (Mp), and Ethics and Safety in the use of digital media (Es) of Indonesian students at the junior high school level in the region Madiun City in implementing and utilizing digital technology as a means and source of learning material. An online survey was distributed to collect data on demographic information (2 items), Digital Literacy (50 items) which was divided into several components which included Am (13 items), Mp (9 items), Adm (13 items) and Es (15 items), which was carried out from October to December 2022. A total of 385 respondents were involved using probability sampling based on a random convenienve sample of Indonesian students from 12 junior high schools in Madiun City and its surroundings. The survey data were analyzed using the Anova One Way and Partial Correlation statistical analysis tests. This dataset can assist teacher institutions in designing effective programs to improve digital literacy of students in utilizing technology as a source of material and knowledge in the student learning process. Future researchers can compare this dataset with data which is more rigorous, especially from developing countries.

Enhancing AI competence in health management: students' experiences with ChatGPT as a learning Tool.

BACKGROUND: The healthcare industry has had to adapt to significant shifts caused by technological advancements, demographic changes, economic pressures, and political dynamics. These factors are reshaping the complex ecosystem in which healthcare organizations operate and have forced them to modify their operations in response to the rapidly evolving landscape. The increase in automation and the growing importance of digital and virtual environments are the key drivers necessitating this change. In the healthcare sector in particular, processes of change, including the incorporation of artificial intelligent language models like ChatGPT into daily life, necessitate a reevaluation of digital literacy skills. METHODS: This study proposes a novel pedagogical framework that integrates problem-based learning with the use of ChatGPT for undergraduate healthcare management students, while qualitatively exploring the students' experiences with this technology through a thematic analysis of the reflective journals of 65 students. RESULTS: Through the data analysis, the researcher identified five main categories: (1) Use of Literacy Skills; (2) User Experiences with ChatGPT; (3) ChatGPT Information Credibility; (4) Challenges and Barriers when Working with ChatGPT; (5) Mastering ChatGPT-Prompting Competencies. The findings show that incorporating digital tools, and particularly ChatGPT, in medical education has a positive impact on students' digital literacy and on AI Literacy skills. CONCLUSIONS: The results underscore the evolving nature of these skills in an AI-integrated educational environment and offer valuable insights into students' perceptions and experiences. The study contributes to the broader discourse about the need for updated AI literacy skills in medical education from the early stages of education.

[Development of competencies in the Medical Informatics Initiative (MII)-educational offers for a competent and secure handling of medical data]. / Kompetenzentwicklung in der Medizininformatik-Initiative (MII) ­ Lehrangebote für einen souveränen und sicheren Umgang mit medizinischen Daten.

In order to achieve the goals of the Medical Informatics Initiative (MII), staff with skills in the field of medical informatics and data science are required. Each consortium has established training activities. Further, cross-consortium activities have emerged. This article describes the concepts, implemented programs, and experiences in the consortia. Fifty-one new professorships have been established and 10 new study programs have been created: 1 bachelor's degree and 6 consecutive and 3 part-time master's degree programs. Further, learning and training opportunities can be used by all MII partners. Certification and recognition opportunities have been created.The educational offers are aimed at target groups with a background in computer science, medicine, nursing, bioinformatics, biology, natural science, and data science. Additional qualifications for physicians in computer science and computer scientists in medicine seem to be particularly important. They can lead to higher quality in software development and better support for treatment processes by application systems.Digital learning methods were important in all consortia. They offer flexibility for cross-location and interprofessional training. This enables learning at an individual pace and an exchange between professional groups.The success of the MII depends largely on society's acceptance of the multiple use of medical data in both healthcare and research. The information required for this is provided by the MII's public relations work. There is also an enormous need in society for medical and digital literacy.

Digital Literacy Training for Low-Income Older Adults Through Undergraduate Community-Engaged Learning: Single-Group Pretest-Posttest Study.

BACKGROUND: Digital technology is a social determinant of health that affects older people's ability to engage in health maintenance and disease prevention activities; connect with family and friends; and, more generally, age in place. Unfortunately, disparities in technology adoption and use exist among older adults compared with other age groups and are even greater among low-income older adults. OBJECTIVE: In this study, we described the development and implementation of a digital literacy training program designed with the dual goals of training low-income older adults in the community and teaching students about aging using a community-engaged learning (CEL) approach. METHODS: The training program was embedded within a 10-week CEL course that paired undergraduates (N=27) with low-income older adults (n=18) for 8 weeks of digital literacy training. Older adults and students met weekly at the local senior center for the training. Students also met in the classroom weekly to learn about aging and how to use design thinking to train their older adult trainees. Both older adults and students completed pre- and posttraining surveys. RESULTS: Older adults demonstrated increased digital literacy skills and confidence in the use of digital technology. Loneliness did not change from pre to postassessment measurements; however, older adults showed improvements in their attitudes toward their own aging and expressed enthusiasm for the training program. Although students' fear of older adults did not change, their comfort in working with older adults increased. Importantly, older adults and students expressed positive feelings about the trainee-trainer relationship that they formed during the training program. CONCLUSIONS: A CEL approach that brings together students and low-income older adults in the community has a strong potential to reduce the digital divide experienced by underserved older adults. Additional work is needed to explore the efficacy and scalability of this approach in terms of older adults' digital literacy as well as other potential benefits to both older and younger adults.

La integración de la inteligencia artificial en la educación médica y su impacto en la práctica clínica / The integration of artificial intelligence in medical education and its impact on clinical practice

Introducción: La integración de la inteligencia artificial (IA) en la educación médica redefine paradigmas, optimiza méto-dos y forja una simbiosis tecnológica. Desarrollo: La IA potencia simulaciones clínicas, mejora evaluaciones y desarrolla habilidades blandas, redefiniendo lainteracción médico-paciente. Conclusiones: Aunque persisten desafíos éticos, la colaboración interdisciplinaria y la adaptabilidad son cruciales. La IA marca un hito en la evolución médica al elevar la calidad asistencial y establecer estándares para una colaboración armoniosa entre tecnología y compasión.(AU)

Introduction: The incorporation of artificial intelligence (AI) into medical education redefines paradigms, optimisesmethods and forges a technological symbiosis. Development: AI enhances clinical simulations, improves assessments and develops soft skills, thereby redefining doctor-patient interaction. Conclusions: Although ethical challenges remain, interdisciplinary collaboration and adaptability are crucial. AI marks a milestone in the evolution of medicine by raising the quality of care and setting standards for harmonious collaboration between technology and compassion.(AU)

Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China.

OBJECTIVE: Within the digital society, the limited proficiency in digital health behaviors among rural residents has emerged as a significant factor intensifying health disparities between urban and rural areas. Addressing this issue, enhancing the digital literacy and health literacy of rural residents stands out as a crucial strategy. This study aims to investigate the relationship between digital literacy, health literacy, and the digital health behaviors of rural residents. METHODS: Initially, we developed measurement instruments aimed at assessing the levels of digital literacy and health literacy among rural residents. Subsequently, leveraging micro survey data, we conducted assessments on the digital literacy and health literacy of 968 residents in five administrative villages in Zhejiang Province, China. Building upon this foundation, we employed Probit and Poisson models to empirically scrutinize the influence of digital literacy, health literacy, and their interaction on the manifestation of digital health behaviors within the rural population. This analysis was conducted from a dual perspective, evaluating the participation of digital health behaviors among rural residents and the diversity to which they participate in such behaviors. RESULTS: Digital literacy exhibited a notably positive influence on both the participation and diversity of digital health behaviors among rural residents. While health literacy did not emerge as a predictor for the occurrence of digital health behavior, it exerted a substantial positive impact on the diversity of digital health behaviors in the rural population. There were significant interaction effects between digital literacy and health literacy concerning the participation and diversity of digital health behaviors among rural residents. These findings remained robust even after implementing the instrumental variable method to address endogeneity issues. Furthermore, the outcomes of robust analysis and heterogeneity analysis further fortify the steadfastness of the aforementioned conclusions. CONCLUSION: The findings suggest that policymakers should implement targeted measures aimed at enhancing digital literacy and health literacy among rural residents. This approach is crucial for improving rural residents' access to digital health services, thereby mitigating urban-rural health inequality.