A multidisciplinary pain management program for patients with chronic low back pain: a randomized, single-blind, controlled, feasibility study.

Background: Multidisciplinary programs are the first recommendation for non-specific chronic low-back pain, but implementing this type of program is complicated to get up and running. The primary aim of this study was to assess the feasibility and appropriateness of the PAINDOC multidisciplinary program for subjects with chronic low-back pain. The secondary objectives were to evaluate the decrease in pain intensity, pain-related disability and pain catastrophizing, as well as the improvement in quality of life with this program.

Behavioral therapy in migraine: Expanding the therapeutic arsenal.

Background And Purpose: The US Headache Consortium developed evidence-based guidelines for the treatment of migraine and found grade A evidence in support of behavior therapy (BT). Understanding the mechanisms of BT may improve the management of migraine and reduce its burden.

Methods: We performed a narrative review to define the current evidence of BT and determine its usefulness in migraine management.

Acceptability of multimodal and multidisciplinary group-based program for chronic low back pain: a qualitative study.

Background: The Programa d'Atenció Integral pels Pacients amb Dolor Crònic (PAINDOC) is a multimodal and multidisciplinary group-based program that integrates pain neuroscience education, mindfulness meditation, pain psychotherapy, Empowered Relief, and therapeutic exercise. It serves as a therapeutic option for individuals with chronic low back pain, providing them with comprehensive adaptive strategies for pain management.

Objective: This qualitative study explores participants' retrospective acceptability of the PAINDOC Program.

Neuropsychological functioning and its correlates at 1 year follow-up of severe COVID-19.

Background: Short-term cognitive impairment is associated with SARS-CoV-2 infection but the long-term impact is yet to be examined in detail. We aim to study the evolution of these symptoms in severe COVID-19 patients admitted to the intensive care unit (ICU) between April and December 2020 1 year after hospital discharge and to analyze its clinical correlates.

Method: A total of 58 patients agreed to participate in the 6 months follow-up and 30 at 1 year after hospital discharge.

Neuropsychological functioning in post-ICU patients after severe COVID-19 infection: The role of cognitive reserve.

Background: Cognitive manifestations associated with Severe Acute Respiratory Syndrome by Coronavirus 2 (SARS-CoV-2) are yet to be described in the existing literature. The aim of this exploratory study is to analyze the impact of severe SARS-CoV-2 infection on neuropsychological performance 6 months following hospital discharge, and to identify which medical variables predict worse outcome. In this context, we study if cognitive reserve (CR) may play a protective role on cognitive impairment.

Self-reported neurocognitive symptoms during COVID-19 lockdown and its associated factors in a sample of psychiatric patients. Results from the BRIS-MHC study.

Lockdown caused by COVID-19 pandemic has a negative impact on mental health. The aim was to assess self-reported neurocognitive symptoms during the lockdown and identify associated vulnerable and protective factors in a sample of psychiatric patients in a Spanish population. These results are part of the Barcelona ResIlience Survey for Mental Health COVID-19 (BRIS-MHC) project.

PRimary carE digital Support ToOl in mental health (PRESTO): Design, development and study protocols.

Background: About 30-50% of Primary Care (PC) users in Spain suffer mental health problems, mostly mild to moderate anxious and depressive symptoms, which account for 2% of Spain's total Gross domestic product and 50% of the costs associated to all mental disorders. Mobile health tools have demonstrated to cost-effectively reduce anxious and depressive symptoms while machine learning (ML) techniques have shown to accurately detect severe cases. The main aim of this project is to develop a comprehensive ML digital support platform (PRESTO) to cost-effectively screen, assess, triage, and provide personalized treatments for anxious and depressive symptoms in PC.