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Introduction: The COVID-19 pandemic had a significant impact on healthcare delivery worldwide. Digital tools emerged as a preferred solution for maintaining healthcare services during this crisis. This study aimed to assess the magnitude of digital health literacy among healthcare professionals in Ethiopia in 2020-2023. Methods: A systematic review and meta-analysis were conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Articles published from 2020 to 2023 were reviewed using various electronic databases such as Medline, PubMed, and Cochrane Library, CINAHL, HINARI, Science Direct, Google Scholar, and Global Health. Meta-analysis was performed using STATA 17, and publication bias and heterogeneity were assessed. Results: Six studies involving a total of 2739 participants were included in the analysis. The pooled level of high digital health literacy among health professionals in Ethiopia during the pandemic was found to be 56.0% (95% CI: 55, 58). Several factors were identified as significant contributors to high digital health literacy, including internet use (AOR = 2.72, 95% CI: 1.86, 3.98), perceived ease of use (AOR = 2.79, 95% CI: 1.83, 4.25), favorable attitude (AOR = 2.49, 95% CI: 1.61, 3.85), perceived usefulness (AOR = 2.29, 95% CI: 1.65, 3.18), information-communication-technology training (AOR = 6.09, 95% CI: 1.83, 24.27), and educational level (AOR = 3.60, 95% CI: 2.96, 4.37). Conclusion and recommendation: The study findings revealed a moderate level of high digital health literacy among Ethiopian health professionals. Factors such as internet use, favorable attitude, and information-communication-technology training were associated with high-level digital health literacy. To enhance digital health literacy, it is crucial to provide timely training and improve internet access for healthcare professionals. Additionally, promoting the perception of digital tools as useful and supporting evidence-based decision-making can further improve digital health literacy. Comprehensive information-communication-technology training programs should be implemented to equip healthcare professionals with necessary skills to effectively combat outbreaks like the COVID-19 pandemic.
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The use of artificial intelligence in education (AIEd) has become increasingly significant globally. In China, there is a lack of research examining the behavioral intention toward AIEd among pre-service special education (SPED) teachers in terms of digital literacy and teacher self-efficacy. Building on the technology acceptance model, our study evaluated the aspects influencing pre-service special education teachers' intention toward AI in education. Data was gathered from 274 pre-service SPED teachers studying at a Chinese public normal university of special education and analyzed using structural equation modeling (SEM). The results show that digital literacy is associated with the perceived usefulness and ease of use of AIEd, which influences SPED teachers' intention to use AIEd. Additionally, digital literacy significantly impacts the self-efficacy of SPED teachers. Given these results, AI designers in special education should comprehend the effectiveness and usability of AIEd for fostering behavioral intention formation. Simultaneously, special educational programs that identify key content and activities for digital literacy training should be developed, and educators should attempt to execute the relevant pre-service training to enhance the intention of pre-service SPED teachers toward AIEd.
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The COVID-19 pandemic has underscored the growing importance of digital technologies for economic resilience, especially for vulnerable groups like older workers in the informal sector. However, barriers to access and digital literacy create challenges alongside potential opportunities, particularly in less developed countries such as Ghana. Using older adults over 50 years engaged in informal work in Kumasi's Central Business District in Ghana as a case, this paper explores older informal workers' use of digital technologies in Ghana during the pandemic. Findings suggest that older informal workers relied heavily on their mobile phones as the only critical technological tool to sustain their businesses during the COVID-19 pandemic. However, the findings also reveal critical gaps in skills, training, and support, alongside resourcefulness in leveraging digital tools for business continuity. Key policy implications include expanding mobile-centric digital literacy programs, addressing infrastructure divides, and integrating capacity building into social protection. The paper contributes insights on strengthening lifelong learning and extending the working lives of older persons in the informal sector in the post-COVID era.
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Digital domain is important for the expansion of micro and small enterprises but the gap in readiness to accept the technology impacts businesses. Therefore, this research aims to build an integrated model of Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation and government support to increase digital literacy. There are 551 respondents consisting of owners and managers who have been running a business for at least a year. The integration model between Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation increases digital literacy, while government support positively influences the variable. The model emphasizes optimism and innovation as key factors in enhancing the construct of Technology Readiness Index model. The results show that there is a strong foundation for the establishment of Technology Acceptance Models and Theory of Reasoned Action expanded with Motivation aimed at supporting digital literacy. This contributes to developing knowledge about the integration model for digital technology acceptance. Practical contributions guide the government in creating appropriate policies to increase digital literacy in SMEs.
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OBJECTIVES: This study examined how digital literacy moderates the relationship between ageism experiences and social participation among community-dwelling older adults. METHODS: Regression analysis of data from the 2020 National Survey of Older Koreans with 9,920 participants was conducted to identify the association of ageism experiences with social participation in model 1. The moderating effects of digital literacy were examined by adding an interaction term in model 2. RESULTS: In model 1, both ageism experiences and digital literacy were significant predictors of social participation. However, in model 2, the interaction term of digital literacy rendered the association between ageism experiences and social participation non-significant. Model 2 explained approximately 18.4 % of the total variance in social participation. CONCLUSIONS: By highlighting the importance of digital literacy in increasing social participation among older adults, this study offers valuable insights for interventions aimed at improving digital literacy to promote successful aging in a technology-dependent society.
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BACKGROUND: The growing use of artificial intelligence (AI) in healthcare necessitates understanding the perspectives of future practitioners. This study investigated the perceptions of German-speaking medical and dental students regarding the role of artificial intelligence (AI) in their future practices. METHODS: A 28-item survey adapted from the AI in Healthcare Education Questionnaire (AIHEQ) and the Medical Student's Attitude Toward AI in Medicine (MSATAIM) scale was administered to students in Austria, Germany, and Switzerland from April to July 2023. Participants were recruited through targeted advertisements on Facebook and Instagram and were required to be proficient in German and enrolled in medical or dental programs. The data analysis included descriptive statistics, correlations, t tests, and thematic analysis of the open-ended responses. RESULTS: Of the 409 valid responses (mean age = 23.13 years), only 18.2% of the participants reported receiving formal training in AI. Significant positive correlations were found between self-reported tech-savviness and AI familiarity (r = 0.67) and between confidence in finding reliable AI information and positive attitudes toward AI (r = 0.72). While no significant difference in AI familiarity was found between medical and dental students, dental students exhibited slightly more positive attitudes toward the integration of AI into their future practices. CONCLUSION: This study underscores the need for comprehensive AI education in medical and dental curricula to address knowledge gaps and prepare future healthcare professionals for the ethical and effective integration of AI in practice.
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Artificial Intelligence , Students, Dental , Students, Medical , Humans , Students, Dental/psychology , Germany , Students, Medical/psychology , Male , Female , Switzerland , Young Adult , Adult , Austria , Surveys and Questionnaires , Attitude of Health PersonnelABSTRACT
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.
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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.
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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.
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Pathology , Peer Group , Pilot Projects , Humans , Pathology/education , Prospective Studies , Male , Female , Adult , Memory , Young Adult , Students, Medical/psychology , Educational MeasurementABSTRACT
BACKGROUND: The use of telehealth has rapidly increased, yet some populations may be disproportionally excluded from accessing and using this modality of care. Training service users in telehealth may increase accessibility for certain groups. The extent and nature of these training activities have not been explored. OBJECTIVE: The objective of this scoping review is to identify and describe activities for training service users in the use of telehealth. METHODS: Five databases (MEDLINE [via PubMed], Embase, CINAHL, PsycINFO, and Web of Science) were searched in June 2023. Studies that described activities to train service users in the use of synchronous telehealth consultations were eligible for inclusion. Studies that focused on health care professional education were excluded. Papers were limited to those published in the English language. The review followed the Joanna Briggs Institute guidelines for scoping reviews and was reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Titles and abstracts were screened by 1 reviewer (EG). Full texts were screened by 2 reviewers (EG and JH or SC). Data extraction was guided by the research question. RESULTS: The search identified 8087 unique publications. In total, 13 studies met the inclusion criteria. Telehealth training was commonly described as once-off preparatory phone calls to service users before a telehealth visit, facilitated primarily by student volunteers, and accompanied by written instructions. The training content included guidance on how to download and install software, troubleshoot technical issues, and adjust device settings. Older adults were the most common target population for the training. All but 1 of the studies were conducted during the COVID-19 pandemic. Overall, training was feasible and well-received by service users, and studies mostly reported increased rates of video visits following training. There was limited and mixed evidence that training improved participants' competency with telehealth. CONCLUSIONS: The review mapped the literature on training activities for service users in telehealth. The common features of telehealth training for service users included once-off preparatory phone calls on the technical elements of telehealth, targeted at older adults. Key issues for consideration include the need for co-designed training and improving the broader digital skills of service users. There is a need for further studies to evaluate the outcomes of telehealth training activities in geographically diverse areas.
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Telemedicine , Humans , Telemedicine/statistics & numerical data , COVID-19 , Adult , AgedABSTRACT
In the field of educational sciences, combining various research studies is essential for the development of key competencies such as digital and mathematical literacy. However, there is a research gap in understanding the challenges of implementing the Reading, Mind Mapping, and Sharing (RMS) teaching model in Indonesian schools, which requires a model customised for the unique context of the Indonesian education system. The objective of this research is to assess the impact of the RMS teaching model on students' digital and mathematical literacy. The study employed a quasi-experimental design, consisting of two experimental classes and one control class. The first experimental class used the RMS teaching model with brainstorming techniques. The second experimental class used the RMS teaching model without brainstorming. The control class followed standard instruction based on the school curriculum. During the even semester, a total of 96 secondary school students from two different schools in Bandar Lampung, a province in Indonesia, participated in both the experimental and control groups. Data collection was carried out using a questionnaire and a test. To analyse the data, Winstep and SPSS applications were used. The study's findings supported for the effectiveness of the RMS teaching model combined with the brainstorming method in enhancing students' mathematical literacy and digital literacy. Students who were taught this approach demonstrated higher mathematical literacy skills compared to those who received instruction using the RMS teaching model and direct instruction methods. This model can act as a guide for teachers to modify their approaches creating a captivating learning atmosphere that matches the requirements of students.
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BACKGROUND: Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. However, there are a lack of courses delivered at a level appropriate for individuals to develop such skills. We assessed the impact of a two day (non-credit bearing) online digital literacy course on the ability of individuals to critically appraise AI literature in neurosurgery. METHODS: We performed a prospective, quasi-experimental non-randomised, controlled study with an intervention arm comprised of individuals enrolled in our two-day digital health literacy course and a waiting-list control arm used for comparison. We assessed participants' pre- and post-course knowledge, confidence and course acceptability using Qualtrics surveys designed for the purpose of this study. RESULTS: A total of 62 participants (33 participants, 29 waitlist controls), including neurosurgical trainees and both undergraduate and post-graduate students, attended the course and completed the pre-course survey. The two groups did not vary significantly in terms of age or demographics. Following the course, participants significantly improved in their knowledge of AI (mean difference=3.86, 95% CI=2.97-4.75, p-value<0.0001) and confidence in critically appraising literature using AI (p-value=0.002). Similar differences in knowledge (mean difference=3.15, 95% CI=1.82-4.47, p-value<0.0001) and confidence (p-value<0.0001) were found when compared to the control group. CONCLUSION: Bespoke courses delivered at an appropriate level can improve clinicians' understanding of the application of AI in neurosurgery, without the need for in-depth technical knowledge or programming skills.
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Only ten percent of nursing schools in the US are currently using EHRs in their curriculum. This is seen to decrease students' effectiveness as new nurses. We began implementation of EHR use in Spring 2024 and have started collecting data as to the effectiveness of this process. This is a starting point using semester 1 junior (J1) students and we plan to have this process follow these students throughout all 4 semesters and assess them in their first year of practice to gain full understanding of the benefits.
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Curriculum , Documentation , Education, Nursing, Baccalaureate , Electronic Health Records , United States , Students, NursingABSTRACT
As telehealth reshapes healthcare, the landscape for persons with dementia and their caregivers is rapidly evolving. Our scoping review examines how digital health equity was addressed or examined in the context of telehealth interventions among PwD and their family caregivers. We conducted a scoping review and used four electronic databases, PubMed, CINHAL, Embase, and Scopus, using combinations of keywords including "digital literacy," "caregivers," and "dementia." We analyzed 8 studies that met the inclusion criteria. Almost half of the studies were descriptive studies and have emphasized the importance of educating digital inclusiveness to all stakeholders including nurses.
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Caregivers , Computer Literacy , Dementia , Telemedicine , Humans , Dementia/therapy , Caregivers/education , Health LiteracyABSTRACT
The digital transition poses relevant challenges and opportunities for older adults in aging European societies. To unleash the potential of the digital transition in old age and avoid the risk of exclusion, digital education for older adults seems to be a valuable solution. One of the most suitable approaches to digital education for older adults appears to be the peer-to-peer approach. However, not much literature is available on this topic. Within the ACTIVE-IT project, we aimed to design, implement, and evaluate a digital peer education course for older adults, focusing specifically on the use of smartphones and daily utility apps, such as mailing, e-Gov, and e-commerce. The purpose of this contribution is to document the protocol adopted to evaluate the course. The course involved 32 participants aged 65 or older, who, between March 2024 and June 2024, divided into three groups, attended a 10-lesson weekly course taught by a peer. We aim to measure the effect of the course on participants' digital skills and their perceived wellbeing. To do so, we will adopt a mixed methods approach, employing: digital methods by collecting and analyzing data on participants' smartphone use (i.e., log data on smartphone use before/during/after the intervention); a quasi-experiment, collecting information on course participants' wellbeing before/after the course attendance using a questionnaire survey; ethnographic observation conducted during the course, observing interactions between subjects during the course. The study has been approved by the Ethic Committee of the University of Milano Bicocca (prot.nr. 167541/2024).
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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.
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COVID-19 , Telemedicine , Humans , COVID-19/mortality , Brazil/epidemiology , Retrospective Studies , Telemedicine/statistics & numerical data , Female , Male , Middle Aged , Adult , Aged , Hospitalization/statistics & numerical data , Pandemics , SARS-CoV-2 , Influenza, Human/mortality , Influenza, Human/epidemiology , Cohort StudiesABSTRACT
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.
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Asthma , Humans , Male , Female , Portugal , Aged , Mobile Applications , Aged, 80 and over , Surveys and Questionnaires , Smartphone , Comorbidity , Socioeconomic FactorsABSTRACT
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.
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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.
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Health Literacy , State Medicine , Telemedicine , Humans , Cross-Sectional Studies , Telemedicine/statistics & numerical data , Adult , Female , Male , England , Middle Aged , Health Literacy/statistics & numerical data , COVID-19/epidemiology , Surveys and Questionnaires , Ambulatory Care/statistics & numerical data , Young Adult , Aged , AdolescentABSTRACT
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.