Objectives: (1) To analyze the effectiveness of adding a group-based form of Acceptance and Commitment Therapy (ACT) or a behavioural activation program for depression (TACD) to the treatment as usual (TAU) for patients diagnosed of chronic pain and comorbid mild-moderate major depression; (2) To examine the cost-utility of these psychological treatments from healthcare and societal perspectives; (3) To measure a set of biomarkers alongside the RCT in order to know the physiological underpinnings of these psychological therapies and to identify potential predictors of treatment response.
Methodology: 12-month multisite, randomised, controlled trial (RCT) Centres: Parc Sanitari Sant Joan de Déu (St. Boi de Llobregat) and Hospital del Mar (Barcelona).
Participants. 225 adult patients with chronic pain that meet the diagnostic criteria for mild-moderate major depression will be randomly assigned to one of the three study arms: TAU + ACT vs. TAU + TACD vs. TAU.
Primary outcome: Quality of life. Secondary outcomes: pain intensity, depression severity, anxiety symptoms, pain catastrophising, and pain acceptance. Costs to the healthcare system and to society and quality adjusted life years (QALYs). In addition, the empirically validated app Multicenter Pain Monitor® will be used to monitor participants alongside the treatments (ecological momentary assessment). Biomarkers: hair cortisol and cortisone, corticosteroid-binding globulin (CBG), ACTH and cortisol in plasma, and genotyping of 5 polymorphisms in the FKBP5 gene involved in the regulation of the hypothalamic-pituitary-adrenal axis activity, cytokines, Th1: IL-6, IL-8, TNF-α; cytokines Th2: IL-10 + hsCRP test, and vitamin D levels. Main statistical analyses: Intention-to-Treat analyses that will include all participants who undergo random allocation, using multiple imputation to replace missing values. Linear mixed-effects models will be performed using Restricted Maximum Likelihood to estimate the parameters. Calculation of between-groups effect sizes using Cohen's d and of the number-needed-to-treat. Economic evaluation: cost-utility ratios evaluated by applying bootstrapping techniques, acceptability curves, and sensitivity analyses.