Objective: To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions.Design: Systematic review and meta-analysis.Data source: Medline, EMBASE, ICTPR (for study protocols) and Web of Science (for conference proceedings) were searched up to 25 August 2020.Eligibility criteria for selecting studies: Studies were eligible if they reported on (1) hospitalised adult patients with acute heart disease; (2) a clinical presentation of prediction models with c-statistic; (3) unplanned hospital readmission within 6 months. Primary and secondary outcome measures: Model discrimination for unplanned hospital readmission within 6 months measured using concordance (c) statistics and model calibration. Meta-regression and subgroup analyses were performed to investigate predefined sources of heterogeneity. Outcome measures from models reported in multiple independent cohorts and similarly defined risk predictors were pooled.Results: Sixty studies describing 81 models were included: 43 models were newly developed, and 38 were externally validated. Included populations were mainly patients with heart failure (HF) (n=29). The average age ranged between 56.5 and 84 years. The incidence of readmission ranged from 3% to 43%. Risk of bias (RoB) was high in almost all studies. The c-statistic was <0.7 in 72 models, between 0.7 and 0.8 in 16 models and >0.8 in 5 models. The study population, data source and number of predictors were significant moderators for the discrimination. Calibration was reported for 27 models. Only the GRACE (Global Registration of Acute Coronary Events) score had adequate discrimination in independent cohorts (0.78, 95% CI 0.63 to 0.86). Eighteen predictors were pooled. Conclusion: Some promising models require updating and validation before use in clinical practice. The lack of independent validation studies, high RoB and low consistency in measured predictors limit their applicability.PROSPERO registration number: CRD42020159839.
Cannabis is commonly characterized as the most normalized illicit drug. However, it remains a prohibited substance in most parts of the world, including Europe, and users can still be subject to stigmatization. The objective of this study is to assess to what extent and how cannabis users in different countries with different cannabis policies perceive, experience and respond to stigmatization. We conducted a survey in the Dutch coffeeshops among 1225 last year cannabis users from seven European countries, with national cannabis policies ranging from relatively liberal to punitive. Three dimensions of cannabis-related stigma were investigated (discrimination, perceived devaluation and alienation) and a sum score was used to reflect the general level of stigmatization. Perceived devaluation was the highest-scoring dimension of stigma and discrimination the lowest-scoring. The general level of stigmatization was lowest in the Netherlands and highest in Greece. This indicates that punitive cannabis policy is associated with stigma and liberal cannabis policy is associated with de-stigmatization. Besides country, daily cannabis use was also found to be a significant predictor of stigma, but gender, age, household type and employment status were not.
In on editorialization: structuring space and authority in the digital age, Marcello Vitali-Rosati examines how authority changes in the digital era. Authority seems to have vanished in the age of the web, since the spatial relationships that authority depends on are thought to have levelled out: there are no limits or boundaries, no hierarchies or organized structures anymore. Vitali-Rosati claims the opposite to be the case: digital space is well-structured and material and has specific forms of authority. Editorialization is one key process that organizes this space and thus brings into being digital authority. Investigating this process of editorialization, Vitali-Rosati reveals how politics can be reconceived in the digital age.
The project Decolonising Education: from Teachers to Leading Learners (DETeLL) aims to develop a multi-site approach for interventions towards inclusion and decolonisation in order to change the hierarchical nature of higher education in the Netherlands. DETeLL identifies the model of the ‘traditional teacher’ as embodying the structural exclusions and discriminations built into the classroom and proposes the figure of a ‘Leading Learner’ as a first step towards a radical change in the educational system. In collaboration with the education departments in the Theatre and Dance Academy at ArtEZ, the post-doc will build up a research and teaching programme that engages with students and teachers in the faculty to create a prototype of an inclusive and diverse educational practice. RELEVANCE: Education should be the critical space in which changes occur in order to shape best possible futures. In DETeLL’s acceptation, decolonisation refers to a complete change in the way of thinking and behaving. It does not refer only to the urgency of dealing with historical colonial legacies embedded in society, but also to the subversion of the deeply oppressive colonial culture that (also unconsciously) regulates public and private living, whether this is related to gender, race, class or sexuality issues. RESULTS: 1) Create a theory and practice-based scientific base-line of decolonisation and art education; 2) Provide a definition of ‘Artist educator as Leading Learner’ following a practice- based methodology of intervention; 3) Design and Pilot a new teaching programme for theatre education at ArtEZ to be then upscaled to all educational departments in a follow-up project); 4) Produce a strong interdisciplinary and international output plan: 3 academic publications, 2 conferences, 4 expert group workshops. NETWORK: ArtEZ; University of Amsterdam (UvA); Ghent University; UCHRI; Hildesheim University; Cape Town University. The partners will serve as steering committee through planned expert group meetings.
Nxus is a Software as a Service startup that provides higher educational institutions with one integrated community and bias-free career platform. With this platform, Nxus connects employers, students and alumni in a unique and innovative way. The Nxus platform is already deployed university-wide by the launching partner, Radboud University. The Take-Off HBO feasibility grant allows Nxus to research the feasibility of further developing the existing platform to meet the needs of Secondary Vocational Institutions (MBO-instellingen). Nxus hereby aims to address 2 present-day societal issues, the shortage of internships for MBO students and internship discrimination in the recruitment and selection process.
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