Schizophrenia Psychological Interventions Network Meta-Analysis of randomized evidence

Información del proyecto

SPIN-MA

Identificador del acuerdo de subvención: 701717

DOI

10.3030/701717

Proyecto cerrado

Fecha de la firma de la CE 14 Marzo 2016

Fecha de inicio 1 Octubre 2016

Fecha de finalización 30 Septiembre 2018

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 159 460,80

Aportación de la UE

€ 159 460,80

Coordinado por

KLINIKUM DER TECHNISCHEN UNIVERSITÄT MÜNCHEN (TUM KLINIKUM)
Germany

Objetivo

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.

Ámbito científico (EuroSciVoc)

• ciencias naturales › informática y ciencias de la información › ciencia de datos
• ciencias naturales › informática y ciencias de la información › base de datos
• ciencias sociales › psicología › psicoterapia
• ciencias médicas y de la salud › medicina clínica › psiquiatría › esquizofrenia

Palabras clave

• network meta-analysis
• schizophrenia

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2015

Coordinador

KLINIKUM DER TECHNISCHEN UNIVERSITÄT MÜNCHEN (TUM KLINIKUM)

• Aportación neta de la UEn: € 159 460,80
• Dirección: ISMANINGER STRASSE 22 ; 81675 MUENCHEN ; Alemania
• Región: Bayern › Oberbayern › München, Kreisfreie Stadt
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 159 460,80