IntroductionHigh levels of adoption and usage for the COVID Tracing Apps (CTA) among the population is a stipulated prerequisite for success of the implementation of these apps, aiming to mitigate the pandemic and track spreading of the virus more efficient and effectively. In the current study, the main objective was to investigate individuals' preferences in the intention to download a COVID-19 tracing app in a pilot-study in both the Netherlands and Turkey.MethodsWe conducted a discrete choice experimental study through an online survey in two countries (the Netherlands [N = 62] and Turkey [N = 83]), with four different attributes: (1) data protection (data protection vs. no information), (2) manufacturer (government vs. company), (3) reward (no reward vs. voucher as a reward) and (4) gaming (no gaming elements vs. gaming elements). Participants were recruited among a student population.ResultsThe results showed that data protection is one of the most important factors that significantly increases the probability to adopt a CTA. In general, the manufacturer, reward or gaming affected the probability to download the CTA less.DiscussionsHealth authorities worldwide have generally released high quality CTA, although scientific studies assessing the most important factors that describe and predict the intention to download is limited. Sensitive personal data is collected through these apps, and may potentially threaten privacy, equality and fairness, which are important attributes to take into account when developing or launching a CTA, following the results of this study.
Objective: Long term behavioural disturbances and interventions in healthy habits (mainly eating and physical activity) are the primary cause of childhood obesity. Current approaches for obesity prevention based on health information extraction lack the integration of multi-modal datasets and the provision of a dedicated Decision Support System (DSS) for health behaviour assessment and coaching of children. Methods: Continuous co-creation process has been applied in the frame of the Design Thinking Methodology, involving children, educators and healthcare professional in the whole process. Such considerations were used to derive the user needs and the technical requirements needed for the conception of the Internet of Things (IoT) platform based on microservices. Results: To promote the adoption of healthy habits and the prevention of the obesity onset for children (9-12 years old), the proposed solution empowers children -including families and educators-in taking control of their health by collecting and following-up real-time information about nutrition, physical activity data coming from IoT devices, and interconnecting healthcare professionals to provide a personalised coaching solution. The validation has two phases involving +400 children (control/intervention group), on four schools in three countries: Spain, Greece and Brazil. The prevalence of obesity decreased in 75.5% from baseline levels in the intervention group. The proposed solution created a positive impression and satisfaction from the technology acceptance perspective. Conclusions: Main findings confirm that this ecosystem can assess behaviours of children, motivating and guiding them towards achieving personal goals.
The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the actors involved in the care circle. In this paper, the GK platform architecture is presented focusing on the role of HL7 FHIR to provide a shared logical data model to be explored in heterogeneous daily living environments. GK pilots are used to illustrate the impact of the approach, benefit value, and scalability, suggesting ways to further accelerate progress.
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