Can Low-Cost Strategies Improve Attendance Rates in Brief Psychological Therapy? Double-Blind Randomized Controlled Trial.

OBJECTIVES: To assess if telephone text message appointment reminders and orientation leaflets can increase the proportion of patients who attend brief interventions after being assessed as suitable for guided self-help following cognitive behavioral therapy principles. METHOD: Attendance was operationally defined as having accessed at least 1 therapy appointment. A secondary outcome was the proportion of attenders who completed or dropped out of therapy. After initial assessment, 254 patients with depression and anxiety disorders were randomly assigned to 1 of 3 groups: (a) usual waitlist control, (b) leaflet, (c) leaflet plus text message. Differences in the proportions of patients who started and completed therapy across groups were assessed using chi-square and logistic regression analyses. RESULTS: Overall, 63% of patients in this sample attended therapy. Between-group differences were not significant for attendance, x(2) (2) = 3.94, p = .14, or completion rates, x(2) (2) = 2.98, p = .23. These results were not confounded by demographic or clinical characteristics. CONCLUSIONS: Low-cost strategies appear to make no significant difference to therapy attendance and completion rates.

How durable is the effect of low intensity CBT for depression and anxiety? Remission and relapse in a longitudinal cohort study.

BACKGROUND: Depression and anxiety disorders are relapse-prone conditions, even after successful treatment with pharmacotherapy or psychotherapy. Cognitive behavioural therapy (CBT) is known to prevent relapse, but there is little evidence of the durability of remission after low intensity forms of CBT (LiCBT). METHOD: This study aimed to examine relapse rates 12 months after completing routinely-delivered LiCBT. A cohort of 439 LiCBT completers with remission of symptoms provided monthly depression (PHQ-9) and anxiety (GAD-7) measures during 12 months after treatment. Survival analysis was conducted to model time-to-relapse while controlling for patient characteristics. RESULTS: Overall, 53% of cases relapsed within 1 year. Of these relapse events, the majority (79%) occurred within the first 6 months post-treatment. Cases reporting residual depression symptoms (PHQ-9 = 5 to 9) at the end of treatment had significantly higher risk of relapse (hazard ratio = 1.90, p < 0.001). CONCLUSIONS: The high rate of relapse after LiCBT highlights the need for relapse prevention, particularly for those with residual depression symptoms.

Different people respond differently to therapy: A demonstration using patient profiling and risk stratification.

BACKGROUND: This study aimed to identify patient characteristics associated with poor outcomes in psychological therapy, and to develop a patient profiling method. METHOD: Clinical assessment data for 1347 outpatients was analysed. Final treatment outcome was based on reliable and clinically significant improvement (RCSI) in depression (PHQ-9) and anxiety (GAD-7) measures. Thirteen patient characteristics were explored as potential outcome predictors using logistic regression in a cross-validation design. RESULTS: Disability, employment status, age, functional impairment, baseline depression and outcome expectancy predicted post-treatment RCSI. Regression coefficients for these factors were used to derive a weighting scheme called Leeds Risk Index (LRI), used to assign risk scores to individual cases. After stratifying cases into three levels of LRI scores, we found significant differences in RCSI and treatment completion rates. Furthermore, LRI scores were significantly correlated with the proportion of treatment sessions classified as 'not on track'. CONCLUSIONS: The LRI tool can identify cases at risk of poor progress to inform personalized treatment recommendations for low and high intensity psychological interventions.

Confidence in the face of risk: the Risk Assessment and Management Self-Efficacy Study (RAMSES).

Aims and method To evaluate a comprehensive risk management programme. A Risk Assessment and Management Self-Efficacy Scale (RAMSES) was used to evaluate the impact of a clinical guideline and training course. Fifty-three psychological therapists were randomly allocated to training v. waiting list in a controlled, delayed-intervention design. Differences in mean self-efficacy scores between groups were examined using analysis of covariance (ANCOVA). Results The RAMSES measure had adequate factor structure, internal consistency and construct validity. When adjusting for baseline scores and cluster design, the group exposed to training had a higher mean self-efficacy score than controls. Mean differences between groups were not significant after the control group received training, nor at 6 months' follow-up. Clinical implications Exposure to training and clinical guidelines can improve self-efficacy in risk assessment and management. An important advance put forward by this study is the specification of areas of competence in risk assessment and management, which can be measured using a psychometrically sound tool.