Safety and Efficacy of Acceptance and Commitment Therapy (ACT) in Schizophrenia Spectrum and Other Psychotic Disorders: Protocol for a Systematic Review and Meta-Analysis

• Published in: Methods and protocols Vol. 1; no. 4; p. 38
• Main Authors: Gray, Richard, Hillel, Stav A, Brown, Ellie, Al Ghareeb, Amal
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 24.10.2018; MDPI AG
• Subjects: acceptance and commitment therapy; cognitive behavioral therapy; Protocol; psychosis; psychotherapy; schizophrenia; cognitive behavioral therapy; acceptance and commitment therapy; psychotherapy; schizophrenia; psychosis
• ISSN: 2409-9279; 2409-9279
• DOI: 10.3390/mps1040038

Acceptance and commitment therapy (ACT) has been reported to be effective in the treatment of some psychiatric disorders. It remains uncertain, however, whether ACT is safe and effective in treating schizophrenia spectrum and other psychotic disorders (e.g., psychosis). This protocol describes the methodology for a systematic review and meta-analysis of the safety and efficacy of ACT in the treatment of psychosis. The review will be guided by the standards set by the Cochrane Collaboration. We will search the Allied and Complementary Medicine Database (AMED), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Central Register of Controlled Trials (CENTRAL), Excerpta Medica database (EMBASE), EMCARE, Education Resources Information Center (ERIC), MEDLINE, and PsycINFO databases for randomized controlled trials, whose arms are ACT and any comparator, as well as ClinicalTrials.gov, Australian New Zealand Clinical Trials Registry (ANZCTR), and Current Controlled Trials (ISRCTN), for unpublished and ongoing trials. The primary outcome will be any standard (or surrogate) measure of psychotic pathology. The meta-analysis will summarize short-term and long-term effects and different control conditions with or without treatment as usual or comparative to other interventions. In cases where heterogeneity is detected (via and ), we will adopt the random effects model for computation.