BackgroundPeople from lower and middle socioeconomic classes and vulnerable populations are among the worst affected by the COVID-19 pandemic, thus exacerbating disparities and the digital divide.ObjectiveTo draw a portrait of e-services as a digital approach to support digital health literacy in vulnerable populations amid the COVID-19 infodemic, and identify the barriers and facilitators for their implementation.MethodsA scoping review was performed to gather published literature with a broad range of study designs and grey literature without exclusions based on country of publication. A search was created in Medline (Ovid) in March 2021 and translated to Medline, PsycINFO, Scopus and CINAHL with Full Text (EBSCOhost). The combined literature search generated 819 manuscripts. To be included, manuscripts had to be written in English, and present information on digital intervention(s) (e.g. social media) used to enable or increase digital health literacy among vulnerable populations during the COVID-19 pandemic (e.g. older adults, Indigenous people living on reserve).ResultsFive articles were included in the study. Various digital health literacy-enabling e-services have been implemented in different vulnerable populations. Identified e-services aimed to increase disease knowledge, digital health literacy and social media usage, help in coping with changes in routines and practices, decrease fear and anxiety, increase digital knowledge and skills, decrease health literacy barriers and increase technology acceptance in specific groups. Many facilitators of digital health literacy-enabling e-services implementation were identified in expectant mothers and their families, older adults and people with low-income. Barriers such as low literacy limited to no knowledge about the viruses, medium of contamination, treatment options played an important role in distracting and believing in misinformation and disinformation. Poor health literacy was the only barrier found, which may hinder the understanding of individual health needs, illness processes and treatments for people with HIV/AIDS.ConclusionsThe literature on the topic is scarce, sparse and immature. We did not find any literature on digital health literacy in Indigenous people, though we targeted this vulnerable population. Although only a few papers were included, two types of health conditions were covered by the literature on digital health literacy-enabling e-services, namely chronic conditions and conditions that are new to the patients. Digital health literacy can help improve prevention and adherence to a healthy lifestyle, improve capacity building and enable users to take the best advantage of the options available, thus strengthening the patient’s involvement in health decisions and empowerment, and finally improving health outcomes. Therefore, there is an urgent need to pursue research on digital health literacy and develop digital platforms to help solve current and future COVID-19-related health needs.
Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Objective: The objective of this study is to identify the current digital health projects and studies being carried out in Pakistan, as well as the key stakeholders involved in these initiatives. We aim to follow a mixed-methods strategy and to evaluate these projects and studies through a strengths, weaknesses, opportunities, and threats (SWOT) analysis to identify the internal and external factors that can potentially facilitate or hinder the progress of digital health in Pakistan. Methods: This study aims to evaluate digital health projects carried out in the last 5 years in Pakistan with mixed methods. The qualitative and quantitative data obtained from field surveys were categorized according to the World Health Organization’s (WHO) recommended building blocks for health systems research, and the data were analyzed using a SWOT analysis strategy. Results: Of the digital health projects carried out in the last 5 years in Pakistan, 51 are studied. Of these projects, 46% (23/51) used technology for conducting research, 30% (15/51) used technology for implementation, and 12% (6/51) used technology for app development. The health domains targeted were general health (23/51, 46%), immunization (13/51, 26%), and diagnostics (5/51, 10%). Smartphones and devices were used in 55% (28/51) of the interventions, and 59% (30/51) of projects included plans for scaling up. Artificial intelligence (AI) or machine learning (ML) was used in 31% (16/51) of projects, and 74% (38/51) of interventions were being evaluated. The barriers faced by developers during the implementation phase included the populations’ inability to use the technology or mobile phones in 21% (11/51) of projects, costs in 16% (8/51) of projects, and privacy concerns in 12% (6/51) of projects.
This longitudinal, quantitative study contributes to the debate on technology-based professional development by examining the extent to which a learning (LinkedIn) intervention in a university setting affects an individual’s social media use for professional development, and the extent to which this relates to self-reported employability. In addition, we investigated how this relationship is moderated by an individual’s motivation to communicate through social media (LinkedIn). Based on social capital theory and the conservation of resources theory, we developed a set of hypotheses that were tested based on longitudinal data collected from university employees (N = 101) in middle- and high-level jobs. First, in line with our expectations, social media use for professional development was significantly higher after the learning intervention than before. Second, partially in line with our expectations, social media use for professional development was positively related with the employability dimension anticipation and optimization. Third, contrary to our expectations, motivation to communicate through social media (LinkedIn) did not have a moderating role in this relationship. We concluded that the learning intervention has the potential to foster social media use for professional development, and in turn, can contribute to individuals’ human capital in terms of their employability. Hence, the intervention that forms the core of this empirical research can be a sustainable and promising human resource management (HRM) practice that fits the human capital agenda.
De inzet van blended care in de zorg neemt toe. Hierbij wordt fysieke begeleiding (face-to-face) met persoonlijke aandacht door een zorgprofessional afgewisseld met digitale zorg in de vorm van een platform of mobiele applicatie (eHealth). De digitale zorg versterkt de mogelijkheden van cliënten om in hun eigen omgeving te werken aan gezondheidsdoelen en handvatten tijdens de face-to-face momenten. Een specifieke groep die baat kan hebben bij blended care zijn ouderen die na revalidatie in de geriatrische revalidatiezorg (GRZ) thuis verder revalideren. Focus op zowel bewegen (door fysio- en oefentherapeut) en voedingsgedrag (door diëtist) is hierbij essentieel. Echter, na een intensieve zorgperiode tijdens hun opname wordt revalidatie veelal thuis afgeschaald en overgenomen door een ambulant begeleidingstraject of de eerste lijn. Een groot gedeelte van de ouderen ervaart een terugval in fysiek functioneren en zelfredzaamheid bij thuiskomt en heeft baat bij intensieve zorg omtrent voeding en beweging. Een blended interventie die gezond beweeg- en voedingsgedrag combineert biedt kansen. Hierbij is maatwerk voor deze kwetsbare ouderen vereist. Ambulante en eerste lijn diëtisten, fysio- en oefentherapeuten erkennen de meerwaarde van blended care maar missen handvatten en kennis over hoe blended-care ingezet kan worden bij kwetsbare ouderen. Het doel van het huidige project is ouderen én hun behandelaren te ondersteunen bij het optimaliseren van fysiek functioneren in de thuissituatie, door een blended voeding- en beweegprogramma te ontwikkelen en te testen in de praktijk. Ouderen, professionals en ICT-professionals worden betrokken in verschillende co-creatie sessies om gebruikersbehoefte, acceptatie en technische eisen te verkennen als mede inhoudelijke eisen zoals verhouding face-to-face en online. In samenspraak met gebruikers wordt de blended BITE-IT interventie ontwikkeld op basis van een bestaand platform, waarbij ook gekeken wordt naar het gebruik van bestaande en succesvolle applicaties. De BITE-IT interventie wordt uitgebreid getoetst op haalbaarheid en eerste effectiviteit in de praktijk.
Background:Many business intelligence surveys demonstrate that Digital Realities (Virtual reality and Augmented Reality) are becoming a huge market trend in many sectors, and North America is taking the lead in this emerging domain. Tourism is no exception and the sector in Europe must innovate to get ahead of the curve of this technological revolution, but this innovation needs public support.Project partnership:In order to provide labs, startups and SMEs willing to take this unique opportunity with the most appropriate support policies, 9 partner organizations from 8 countries (FR, IT, HU, UK, NO, ES, PL, NL) decided to work together: regional and local authorities, development agencies, private non-profit association and universities.Objective of the project:Thanks to their complementary experiences and know-how, they intend to improve policies of the partner regions (structural funds and regional policies), in order to foster a tourist channeled innovation in the Digital Realities sector.Approach:All partners will work together on policy analysis tasks before exchanging their best initiatives and transferring them from one country to another. This strong cooperation will allow them to build the best conditions to foster innovation thanks to more effective structural funds policies and regional policies.Main activities & outputs:8 policy instruments are addressed, among which 7 relate to structural funds programmes. Basis for exchange of experience: Reciprocal improvement analysis and 8 study trips with peer-review of each partner’s practices. Video reportages for an effective dissemination towards other territories in Europe.Main expected results:At least 16 good practices identified. 8 targeted policy instruments improved. At least 27 staff members will transfer new capacities in their intervention fields. At least 8 involved stakeholders with increased skills and knowledge from exchange of experience. Expected 17 appearances in press and media, including at European level.
Receiving the first “Rijbewijs” is always an exciting moment for any teenager, but, this also comes with considerable risks. In the Netherlands, the fatality rate of young novice drivers is five times higher than that of drivers between the ages of 30 and 59 years. These risks are mainly because of age-related factors and lack of experience which manifests in inadequate higher-order skills required for hazard perception and successful interventions to react to risks on the road. Although risk assessment and driving attitude is included in the drivers’ training and examination process, the accident statistics show that it only has limited influence on the development factors such as attitudes, motivations, lifestyles, self-assessment and risk acceptance that play a significant role in post-licensing driving. This negatively impacts traffic safety. “How could novice drivers receive critical feedback on their driving behaviour and traffic safety? ” is, therefore, an important question. Due to major advancements in domains such as ICT, sensors, big data, and Artificial Intelligence (AI), in-vehicle data is being extensively used for monitoring driver behaviour, driving style identification and driver modelling. However, use of such techniques in pre-license driver training and assessment has not been extensively explored. EIDETIC aims at developing a novel approach by fusing multiple data sources such as in-vehicle sensors/data (to trace the vehicle trajectory), eye-tracking glasses (to monitor viewing behaviour) and cameras (to monitor the surroundings) for providing quantifiable and understandable feedback to novice drivers. Furthermore, this new knowledge could also support driving instructors and examiners in ensuring safe drivers. This project will also generate necessary knowledge that would serve as a foundation for facilitating the transition to the training and assessment for drivers of automated vehicles.