Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study
status: accepted
status: accepted
Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the appropriateness of LA systems from the perspective of parents and students in secondary education. Anchored in the contextual integrity framework (Nissenbaum, Washington Law Review, 79, 41, 2004), we ...
Background In healthcare, an increasing collaboration can be noticed between different caregivers, especially considering the shift to homecare. To provide optimal patient care, efficient coordination of data and workflows between these different stakeholders is required. To achieve this, data should be exposed in a machine-interpretable, reusable ...
Momfluencers heavily disclose personal information and pictures of their children on their social media as they aim to share parenting experiences with their followers. Including their children in their content may make them more authentic and increase their celebrity capital. However, empirical research testing this assumption is scarce. Important...
status: published
AIMS: To develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe. METHODS AND RESULTS: SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 ...
10.1177/10946705221130467 / JOURNAL OF SERVICE RESEARCH / 26 / 2 / 173-190
As society and businesses increasingly rely on data, individuals are growing more uneasy about the protection and management of their personal information. Solid, a decentralized web standard, offers a promising solution by providing individuals with a personal online data store and a corresponding WebID for identification. However, the adoption of...
With the introduction of the European Health Data Space (EHDS), the secondary use of health data for research purposes is attracting more attention. Secondary health data processing promises to address novel research questions, inform the design of future research and improve healthcare delivery generally. To comply with the existing data protectio...
10.1177/20552076231169836 / DIGITAL HEALTH / 9