Modelling changes in anxiety and depression during low-intensity cognitive behavioural therapy: An application of growth mixture models.

CONCLUSIONS: Findings indicate most of the sample populated an 'improvers' class for both depression and anxiety. Pre-treatment variables identified as predictive of poor treatment response may need to be considered by practitioners in potential triage referral decision policies, supporting cost-effective and efficient services. Further research around predictors of clinical outcome is recommended. PRACTITIONER POINTS: Most of the sample belonged to an 'improvers' class. Several pre-treatment variables predicted poor treatment response (unemployment, suicide risk, neglect, medication, previous or concurrent treatments, longer duration of difficulties, and comorbidities). Few studies have utilized GMM to determine predictors of outcome following LICBT Regarding pre-treatment variables, the possibility of self-report bias cannot be excluded. The time period was relatively short, although represented the optimum number of sessions recommended for LICBT. The lack of a control group and random allocation were the main limitations. PMID: 31696972 [PubMed - as supplied by publisher]
Source: The British Journal of Clinical Psychology - Category: Psychiatry & Psychology Authors: Tags: Br J Clin Psychol Source Type: research