Objectives
Improving Access to Psychological Therapies (IAPT) is a national‐level dissemination programme for provision of evidence‐based psychological treatments for anxiety and depression in the United Kingdom. This paper sought to review and meta‐analyse practice‐based evidence arising from the programme.
Design
A pre‐registered (CRD42018114796) systematic review and meta‐analysis.
Methods
A random effects meta‐analysis was performed only on the practice‐based IAPT studies (i.e. excluding the clinical trials). Subgroup analyses examined the potential influence of particular methodologies, treatments, populations, and target conditions. Sensitivity analyses investigated potential sources of heterogeneity and bias.
Results
The systematic review identified N = 60 studies, with N = 47 studies suitable for meta‐analysis. The primary meta‐analysis showed large pre‐post treatment effect sizes for depression (d = 0.87, 95% CI [0.78–0.96], p < .0001) and anxiety (d = 0.88, 95% CI [0.79–0.97], p < .0001), and a moderate effect on functional impairment (d = 0.55, 95% CI [0.48–0.61], p < .0001). The methodological features of studies influenced ESs (e.g., such as whether intention‐to‐treat or completer analyses were employed).
Conclusions
Current evidence suggests that IAPT enables access to broadly effective evidence‐based psychological therapies for large numbers of patients. The limitations of the review and the clinical and methodological implications are discussed.
Practitioner points
IAPT interventions are associated with large pre‐post treatment effect sizes in depression and anxiety measures.
IAPT interventions are associated with moderate treatment effect sizes with regards to work and social adjustment.
A reduction in dropout and also the prevention of post‐treatment relapse via the offer of follow‐up support are important areas for future development.
Background: Mediation studies test the mechanisms by which interventions produce clinical outcomes. Consistent positive mediation results have previously been evidenced (Hayes et al., 2006) for the putative processes that compromise the psychological flexibility model of acceptance and commitment therapy (ACT). Aims: The present review aimed to update and extend the ACT mediation evidence base by reviewing mediation studies published since the review of Hayes et al. (2006). Method: ACT mediation studies published between 2006 and 2015 were systematically collated, synthesized and quality assessed. Results: Twelve studies met inclusion criteria and findings were synthesized by (a) the putative processes under investigation, and (b) the outcomes on which processes were tested for mediation. Mediation results were found to be generally consistent with the psychological flexibility model of ACT. However, studies were limited in methodological quality and were overly focused on a small number of putative processes. Conclusions: Further research is required that addresses the identified methodological limitations and also examines currently under-researched putative processes.
This paper evaluates the effectiveness of 8-sessions of cognitive analytic therapy (CAT) for obsessive morbid jealousy (OMJ). The evaluation method was a mixed-methods A/B with follow-up single-case design. Ideographic jealousy measures were collected throughout baseline (2 sessions), treatment (6 sessions) and follow-up phases (one session) creating a 160-day time series. Nomothetic measures were completed at assessment, end of treatment and at follow-up. A structured qualitative interview was completed. Significant reductions to idiographic jealousy measures occurred during the treatment phase, with these gains maintained over follow-up. The intensity of the jealousy shifted from moderate to mild and this change was attributed to CAT. Methodological issues and future directions for the treatment of OMJ are discussed.
Fabrication of large composite structures, such as recreational yacht hulls and wind turbine blades, is a cost intensive and high-risk operation, which must be carefully controlled to meet demanding design specifications and reduce defects. In this study, the goal was to develop an intelligent resin delivery system that can easily be integrated into the existing traditional setup in production environment and without any modifications to the mold. A prototype system with two resin supply lines and 16 optical sensors was developed. The system automatically monitors and adjusts resin flow in the mold in real-time using a controller. The effect of process setup parameters on the resin flow was investigated with the design of experiments technique to identify the best settings. The results showed that the automatic system can successfully control the resin flow, hence can be a potential future option in composite manufacturing.
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