Literature DB >> 21335767

Online predictive tools for intervention in mental illness: the OPTIMI project.

Cristina Botella1, Inés Moragrega, R Baños, Azucena García-Palacios.   

Abstract

Mental health care represents over a third of the cost of health care to all EU nations and in US is estimated to be around the 2'5% of the gross national product. It additionally results in further costs to the economy in lost productivity. Depression and Stress related disorders are the most common mental illnesses and the prevention of depression and suicide is one of the 5 central focus points in the European Pact for Mental Health and Well Being. While other mental illnesses may benefit in the long term, Depression and Stress will be the focal point mental illnesses mentioned in OPTIMI. Currently the main treatments for mental illness are pharmacological and evidence based Cognitive Behavioral Therapy (CBT). CBT comprises a set of therapist and patient processes whose format allows for the whole treatment process to be computerized and personalized, Computerised CBT (CCBT). OPTIMI will try to improve the state of the art by monitoring stress and poor coping behavior in high risk population, and by developing tools to perform prediction through early identification of the onset of depression. The main goal of OPTIMI is to improve CCBT programs in order to enhance both efficacy and therapeutic effectiveness. The presentation will outline the main goals the project is aiming and its clinical rationale.

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Year:  2011        PMID: 21335767

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  6 in total

1.  Improving motor activity assessment in depression: which sensor placement, analytic strategy and diurnal time frame are most powerful in distinguishing patients from controls and monitoring treatment effects.

Authors:  Markus Reichert; Alexander Lutz; Michael Deuschle; Maria Gilles; Holger Hill; Matthias F Limberger; Ulrich W Ebner-Priemer
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

2.  An Internet-based program for depressive symptoms using human and automated support: a randomized controlled trial.

Authors:  Adriana Mira; Juana Bretón-López; Azucena García-Palacios; Soledad Quero; Rosa María Baños; Cristina Botella
Journal:  Neuropsychiatr Dis Treat       Date:  2017-03-31       Impact factor: 2.570

Review 3.  Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management.

Authors:  Leonardo J Gutierrez; Kashif Rabbani; Oluwashina Joseph Ajayi; Samson Kahsay Gebresilassie; Joseph Rafferty; Luis A Castro; Oresti Banos
Journal:  Int J Environ Res Public Health       Date:  2021-02-01       Impact factor: 3.390

Review 4.  Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project.

Authors:  Hervé Javelot; Anne Spadazzi; Luisa Weiner; Sonia Garcia; Claudio Gentili; Markus Kosel; Gilles Bertschy
Journal:  Biomed Res Int       Date:  2014-06-24       Impact factor: 3.411

5.  An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

Authors:  Cristina Botella; Adriana Mira; Inés Moragrega; Azucena García-Palacios; Juana Bretón-López; Diana Castilla; Antonio Riera López Del Amo; Carla Soler; Guadalupe Molinari; Soledad Quero; Verónica Guillén-Botella; Ignacio Miralles; Sara Nebot; Berenice Serrano; Dennis Majoe; Mariano Alcañiz; Rosa María Baños
Journal:  Neuropsychiatr Dis Treat       Date:  2016-02-23       Impact factor: 2.570

6.  Smartphone Application for the Analysis of Prosodic Features in Running Speech with a Focus on Bipolar Disorders: System Performance Evaluation and Case Study.

Authors:  Andrea Guidi; Sergio Salvi; Manuel Ottaviano; Claudio Gentili; Gilles Bertschy; Danilo de Rossi; Enzo Pasquale Scilingo; Nicola Vanello
Journal:  Sensors (Basel)       Date:  2015-11-06       Impact factor: 3.576

  6 in total

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