Advancing the Science of Recovery: The Utility of the Recovery Assessment Scale in the Prediction of Self-Directed Health and Wellness Outcomes in Adults with a Diagnosis of a Serious Mental Illness.

Adults with serious mental illness commonly experience comorbid chronic physical conditions and experience a reduced life expectancy of 10-25 years compared to the general population (Saha et al. in Arch Gen Psychiatry 64(10):1123-31.  2007; Hayes et al. in Acta Psychiatr Scand 131(6):417-25. 2015; Walker et al. in JAMA Psychiatry 72(4):334-41. 2015). Dimensions of personal recovery may have real-world implications that extend beyond functional and mental health outcomes to impact the self-directed health and wellness of adults with serious mental illness. This study examined the predictive utility of the Recovery Assessment Scale with respect to medical self-efficacy, self-management, psychiatric symptoms, and community functioning for adults with serious mental illness. Data were derived from a secondary analysis of baseline and 10-month data collected from a randomized control trial with adults aged 18 years and older with a diagnosis of bipolar disorder, schizoaffective disorder, schizophrenia, or major depressive disorder (N=56). A linear regression was conducted to examine the predictive value of total baseline RAS scores on self-efficacy at 10 months while controlling for study group. This model significantly predicted self-efficacy (F (2, 53) = 13.28, p < .001) and accounted for 36.1% of the variance. Total baseline RAS scores significantly predicted self-efficacy (ß = 059, p < .001); specifically, higher baseline RAS scores were associated with greater self-efficacy. A greater degree of recovery may facilitate greater medical self-efficacy in managing chronic disease in people diagnosed with a serious mental illness. Future intervention approaches may consider recovery-focused therapeutic targets such as peer support to promote self-efficacy to manage chronic diseases in people with serious mental illness.

Understanding Cognitive Behavioral Therapy for Psychosis Through the Predictive Coding Framework.

Psychological treatments for persecutory delusions, particularly cognitive behavioral therapy for psychosis, are efficacious; however, mechanistic theories explaining why they work rarely bridge to the level of cognitive neuroscience. Predictive coding, a general brain processing theory rooted in cognitive and computational neuroscience, has increasing experimental support for explaining symptoms of psychosis, including the formation and maintenance of delusions. Here, we describe recent advances in cognitive behavioral therapy for psychosis-based psychotherapy for persecutory delusions, which targets specific psychological processes at the computational level of information processing. We outline how Bayesian learning models employed in predictive coding are superior to simple associative learning models for understanding the impact of cognitive behavioral interventions at the algorithmic level. We review hierarchical predictive coding as an account of belief updating rooted in prediction error signaling. We examine how this process is abnormal in psychotic disorders, garnering noisy sensory data that is made sense of through the development of overly strong delusional priors. We argue that effective cognitive behavioral therapy for psychosis systematically targets the way sensory data are selected, experienced, and interpreted, thus allowing for the strengthening of alternative beliefs. Finally, future directions based on these arguments are discussed.

Delusions are distressing and disabling psychiatric symptoms. Cognitive behavioral therapy for psychosis (CBTp) is the leading psychotherapeutic approach for treating delusions. Predictive coding is a contemporary cognitive neuroscience framework that is increasingly being used to explain mechanisms of delusions. In this article, we attempt to integrate CBTp within the predictive coding framework, outlining how effective CBTp techniques impact aspects of the predictive coding model to contribute to cutting-edge treatment and cognitive neuroscience research on delusions and inform recommendations for treatment advancement.

Paranoia and Grandiosity in the General Population: Differential Associations With Putative Causal Factors.

Worry, negative self-beliefs, and sleep disturbance have been identified as contributory factors to the onset, maintenance, and severity of paranoia. We tested the specificity of these contributory factors to paranoia compared to grandiosity, a different type of delusional ideation. Data were used from 814 adults from the Nathan Kline Institute-Rockland (NKI-Rockland) study, a general population dataset. Paranoid and grandiose delusional ideation was assessed using the Peters Delusions Inventory (PDI-21) and correlated with self-reported worry (n = 228), negative self-beliefs (n = 485), and sleep quality (n = 655). Correlations were compared using Fisher's r-to-z transform to examine whether the magnitude of relationships differed by delusion type. Paranoia was significantly associated with worry, negative self-belief, and sleep quality. Grandiosity demonstrated significantly weaker relationships with worry and negative self-beliefs. Relationships with sleep quality were similar. We replicate previous reports that worry, negative self-beliefs and sleep quality are associated with paranoid ideation in the general population. We extend these findings by demonstrating that these contributory factors, particularly worry and negative self-beliefs, are associated with paranoid ideation to a greater extent than grandiosity. This suggests a degree of specificity of contributory factors to different types of delusional thinking, supporting the pursuit of specific psychological models and treatments for each delusion type.

Longitudinal predictors of stigma in first-episode psychosis: Mediating effects of depression.

AIM: Stigma is commonly experienced among individuals with schizophrenia spectrum disorders and has been shown to be a barrier to help-seeking and behavioural service utilization. Given the established relationships between stigma, barriers to treatment, and poorer psychiatric outcomes including depression and psychotic symptoms, we examined the relationships between symptoms of depression, positive and negative symptoms, and the emergence of stigma longitudinally among a sample of first-episode of psychosis (FEP) participants in the United States. METHODS: Data were obtained from the Recovery After an Initial Schizophrenia Episode project of National Institute of Mental Health's Early Treatment Program. Participants (n = 404) included adults between ages 15 and 40 with schizophrenia or other psychotic disorders based on the DSM-IV. Data were analysed using structural equation modelling (SEM). RESULTS: Findings indicated that increased positive and negative symptoms independently related to greater symptoms of depression at baseline. Furthermore, increased positive symptoms and symptoms of depression at baseline independently related to the emergence of greater stigma being experienced over time. CONCLUSIONS: Considering the role that symptoms of depression played as a factor explaining the relationships between positive and negative symptoms and emergence of stigma over time among individuals in FEP, and symptoms of depression is important predictor of stigma and may furthermore present as a viable and less stigmatizing initial treatment target in the early course of a psychotic disorder.

Pennsylvania coordinated specialty care programs for first-episode psychosis: 6- and 12-month outcomes.

AIM: Pennsylvania (PA) first-episode psychosis (FEP) program evaluation is a statewide initiative, supported by the PA Office of Mental Health and Substance Abuse Services (PA-OMHSAS) and administered by PA Early Intervention Center/Heads Up, which evaluates fidelity and outcomes of PA Coordinated Specialty Care (CSC) programs. Programs participate in standard computerized measures of CSC outcomes using centralized informatics. The aims of the current report are to describe implementation of this core battery for program evaluation in PA and to present 6- and 12-month outcomes. METHODS: Participants (n = 697) from nine PA CSC programs completed the core battery at admission. The battery was re-administered at 6- and 12-month follow-up, and data were analysed for individuals (n = 230) who had completed 12-months of treatment. Domains assessed via clinician report and/or self-report included symptoms, role and social functioning, self-perceived recovery and service utilization. RESULTS: PA FEP CSC participants showed improvement over time in several domains, including decreased symptoms, higher role and social functioning, decreased hospitalizations, and improved self-perception of recovery, quality of life, and services satisfaction. Trends towards improvements were observed for participant happiness, hopelessness, and school-enrolment. Nearly all improvements were observed at 6-month follow-up, with earlier gains maintained at 12-months. CONCLUSIONS: PA FEP CSC programs demonstrate the ability to assess and improve critical outcomes of coordinated specialty care in PA. Improved outcomes by 12 months in treatment provides evidence of an effective treatment model and supports the continuation of these programs in pursuit of our goal of reducing schizophrenia disease burden on individuals and society.

Successfully breaking a 20-year cycle of hospitalizations with recovery-oriented cognitive therapy for schizophrenia.

Individuals with severe and persistent schizophrenia can present challenges (e.g., difficulties sustaining motivation and conducting information processing tasks) to the implementation of recovery-oriented care. We present a successful application of recovery-oriented cognitive therapy (CT-R), a fusion of the spirit and principles of the recovery movement with the evidence base and know-how of cognitive therapy, that helped an individual with schizophrenia move along her recovery path by overcoming specific obstacles, including a 20-year cycle of hospitalizations (five per year), daily phone calls to local authorities, threatening and berating "voices," the belief that she would be killed at any moment, and social isolation. Building on strengths, treatment included collaboratively identifying meaningful personal goals that were broken down into successfully accomplishable tasks (e.g., making coffee) that disconfirmed negative beliefs and replaced the phone calling. At the end of treatment and at a 6-month follow-up, the phone calls had ceased, psychosocial functioning and neurocognitive performance had increased, and avolition and positive symptoms had decreased. She was not hospitalized once in 24 months. Results suggest that individuals with schizophrenia have untapped potential for recovery that can be mobilized through individualized, goal-focused psychosocial interventions.