Negative cognition, affect, metacognition and dimensions of paranoia in people at ultra-high risk of psychosis: a multi-level modelling analysis.

BACKGROUND: Paranoia is one of the commonest symptoms of psychosis but has rarely been studied in a population at risk of developing psychosis. Based on existing theoretical models, including the proposed distinction between 'poor me' and 'bad me' paranoia, we aimed to test specific predictions about associations between negative cognition, metacognitive beliefs and negative emotions and paranoid ideation and the belief that persecution is deserved (deservedness). METHOD: We used data from 117 participants from the Early Detection and Intervention Evaluation for people at risk of psychosis (EDIE-2) trial of cognitive­behaviour therapy, comparing them with samples of psychiatric in-patients and healthy students from a previous study. Multi-level modelling was utilized to examine predictors of both paranoia and deservedness, with post-hoc planned comparisons conducted to test whether person-level predictor variables were associated differentially with paranoia or with deservedness. RESULTS: Our sample of at-risk mental state participants was not as paranoid, but reported higher levels of 'bad-me' deservedness, compared with psychiatric in-patients. We found several predictors of paranoia and deservedness. Negative beliefs about self were related to deservedness but not paranoia, whereas negative beliefs about others were positively related to paranoia but negatively with deservedness. Both depression and negative metacognitive beliefs about paranoid thinking were specifically related to paranoia but not deservedness. CONCLUSIONS: This study provides evidence for the role of negative cognition, metacognition and negative affect in the development of paranoid beliefs, which has implications for psychological interventions and our understanding of psychosis.

Effects of cognitive therapy on the longitudinal development of psychotic experiences in people at high risk of developing psychosis.

BACKGROUND: There have been recent advances in the identification of people at high risk of psychosis and psychological treatments have shown promise for prevention. AIMS: To compare the longitudinal course of psychotic experiences and emotional dysfunction in high-risk participants receiving cognitive therapy with those receiving treatment as usual. METHOD: Data from a recent randomised controlled trial of cognitive therapy for people at risk of developing psychosis were utilised to examine three different statistical models that were based on 432 measurements of psychotic experiences and 421 of emotional dysfunction (anxiety-depression) contributed by 57 participants across the 13 measurement occasions (monthly monitoring for a year). RESULTS: Psychotic experiences and emotional dysfunction were correlated and decreased significantly over the course of the study, with most improvement in the early months. The reduction in positive symptoms, but not emotional dysfunction, was enhanced by allocation to cognitive therapy. CONCLUSIONS: Psychotic experiences and emotional dysfunction appear to interact in people at risk of developing psychosis. There appears to be a specific benefit of cognitive therapy.

Task analysis for the investigation of human error in safety-critical software design: a convergent methods approach.

An investigation was conducted into sources of error within a safety-critical software design task. A number of convergent methods of task- and error-analysis were systematically applied: hierarchical task analysis (HTA), error log audit, error observation, work sample and laboratory experiment. HTA, which provided the framework for the deployment of subsequent methods, revealed possible weaknesses in the areas of task automation and job organization. Application of other methods within this more circumscribed context focused on the impact of task and job design issues. The use of a convergent methods approach draws attention to the benefits and shortcomings of individual analysis methods, and illustrates the advantages of combining techniques to analyse complex problems. The features that these techniques should possess are highlighted.