Cargando…

An Internet-Based Multi-Approach Intervention Targeting University Students Suffering from Psychological Problems: Design, Implementation, and Evaluation

Despite the widespread prevalence of mental health problems, most psychological distress remains untreated. Internet-based psychological interventions can be an essential tool for increasing treatment availability and accessibility. The main objective of the MindBlooming project is to design and imp...

Descripción completa

Detalles Bibliográficos
Autores principales: De Fabritiis, Marlene, Trisolini, Federica, Bertuletti, Gloria, Fagadau, Ionut Daniel, Ginelli, Davide, Lalopa, Katiuscia Pia, Peverelli, Lisa, Pirola, Alessia, Sala, Gaia, Maisto, Marta, Madeddu, Fabio, Lopez-Castroman, Jorge, Romano, Daniele, Gabbiadini, Alessandro, Preti, Emanuele, Micucci, Daniela, Calati, Raffaella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910035/
https://www.ncbi.nlm.nih.gov/pubmed/35270403
http://dx.doi.org/10.3390/ijerph19052711
Descripción
Sumario:Despite the widespread prevalence of mental health problems, most psychological distress remains untreated. Internet-based psychological interventions can be an essential tool for increasing treatment availability and accessibility. The main objective of the MindBlooming project is to design and implement an innovative Internet-based multi-approach treatment for university students suffering from psychological or physical problems. The intervention will focus on symptoms of depression, anxiety, sleep problems, self-destructive thoughts, job- and study-related stress and burnout, and chronic pain. It will be based on different approaches, primarily psychoeducation, Cognitive-Behavioral Treatment (CBT), and third-wave CBT. At the end of the treatment, user satisfaction and usability will be assessed. In addition, two further aims will be evaluating the treatment efficacy through a randomized controlled trial and tuning a predictive model through Machine Learning techniques. The intervention consists of a 7-week treatment on two problematic areas according to each students’ personal needs, identified through an initial assessment. Besides the treatment assigned following the initial screening, participants will also be assigned to a different module to improve their relational skills. The treatment, which can be accessed through a mobile app, consists of psychoeducational videos followed by related exercises. We expect MindBlooming to be a remarkable tool for promoting the mental health of university students.