SPIN-MA | Schizophrenia Psychological Interventions Network Meta-Analysis of randomized evidence

Summary
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.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/701717
Start date: 01-10-2016
End date: 30-09-2018
Total budget - Public funding: 159 460,80 Euro - 159 460,00 Euro
Cordis data

Original description

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.

Status

CLOSED

Call topic

MSCA-IF-2015-EF

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2015
MSCA-IF-2015-EF Marie Skłodowska-Curie Individual Fellowships (IF-EF)