Interprofessional collaboration in fluid teams: an ethnographic study in a Dutch healthcare context.

In caring for clients with combined problems, various professionals are encouraged to work together in new ways. Collaboration is often fluid, and professionals are expected to seek other professionals and organizations to solve complex problems. This type of collaboration is not institutionalized; it may therefore be hard to develop routines compared to fixed teams.

Student-teacher gender congruence and student performance: The role of context.

Student-teacher gender congruence is suggested to be related to increased student performance, but little is known about the contexts in which these effects occur. Based on literature on gender stereotypes this study hypothesizes different effects of student-teacher gender congruence for male and female students across school subjects and in different educational contexts. Using administrative data of secondary schools in The Netherlands ( > 50,000), this study examined to what extent student-teacher gender congruence is associated with male and female students' performance in the subjects math, physics, Dutch language, and French language.

Real-World Evidence to Support EU Regulatory Decision Making-Results From a Pilot of Regulatory Use Cases.

Studies using real-world data (RWD) can complement evidence from clinical trials and fill evidence gaps during different stages of a medicine's lifecycle. This review presents the experience resulting from the European Medicines Agency (EMA) pilot to generate RWE to support evaluations by EU regulators and down-stream decision makers from September 2021 to February 2023. A total of 61 research topics were identified for RWE generation during this period, covering a wide range of research questions, primarily generating evidence on medicines safety (22, 36%), followed by questions on the design and feasibility of clinical trials (11, 18%), drug utilization (10, 16%), clinical management (10, 16%), and disease epidemiology.

The Cooperation Between Nurses and a New Digital Colleague "AI-Driven Lifestyle Monitoring" in Long-Term Care for Older Adults: Viewpoint.

Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities.

The Dutch Idiopathic Ventricular Fibrillation Registry: progress report on the quest to identify the unidentifiable.

Background: Idiopathic ventricular fibrillation (iVF) is a rare cause of sudden cardiac arrest and, by definition, a diagnosis of exclusion. Due to the rarity of the disease, previous and current studies are limited by their retrospective design and small patient numbers. Even though the incidence of iVF has declined owing to the identification of new disease entities, an important subgroup of patients remains.