Objectif Schizophrenia is a severe mental illness with a huge burden on society. Consideration for multi-disciplinary and psychological treatments is raising, but a comprehensive evidence base on their efficacy is lacking from the literature. Taking advantage of my background in psychology and mental health research, I will apply an innovative statistical methodology to compare all existing psychological interventions for schizophrenia, called network meta-analysis. I will produce research evidence on the comparative efficacy of treatments even where a direct comparison has never been made, providing practitioners and policy makers with valuable knowledge for making decisions according to an evidence based medicine approach. This addresses several EU programs’ aims. I will be hosted at the Department of Psychiatry and Psychotherapy of Klinikum rechts der Isar der Technischen Universität München, under the supervision of Professor Stefan Leucht, who has outstanding expertise both in the field of schizophrenia treatment and in the methodology of NMA. A partner organization for highly specialized data analysis will be involved, with a secondment at University of Bern Institute of Social and Preventive Medicine, where I will work with Professor Georgia Salanti learning how to analyse collected data. Throughout all the project a transfer of knowledge perspective will be used, producing outputs to be delivered to policy makers (including World Health Organization, with whom I have an established collaboration) and other organizations involved in guideline production, as well as available to the community of European citizens with public outreach activities (the database will be made publicly available on the project’s website). As a result, novel evidence will be produced on this challenging topic. I will gain new skills and I will substantially increase my experience in research project management, networking and teaching, preparing for an independent position in academia. Champ scientifique natural sciencescomputer and information sciencesdata sciencenatural sciencescomputer and information sciencesdatabasessocial sciencespsychologypsychotherapysocial scienceseconomics and businesseconomicsproduction economicsproductivitymedical and health sciencesclinical medicinepsychiatryschizophrenia Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Appel à propositions H2020-MSCA-IF-2015 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN Contribution nette de l'UE € 159 460,80 Adresse ISMANINGER STRASSE 22 81675 Muenchen Allemagne Voir sur la carte Région Bayern Oberbayern München, Kreisfreie Stadt Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 159 460,80