Predictors of psychosocial functioning in people diagnosed with schizophrenia spectrum disorders that committed violent offences and in those that did not: Results of the Recoviwel study.

Psychosocial functioning represents a core treatment target of Schizophrenia Spectrum Disorders (SSD), and several clinical and cognitive factors contribute to its impairment. However, determinants of psychosocial functioning in people living with SSD that committed violent offences remain to be more thoroughly explored. This study aims to separately assess and compare predictors of psychosocial functioning in people with SSD that did and that did not commit violent offences considering several clinical, cognitive and violence-related parameters. Fifty inmates convicted for violent crimes in a forensic psychiatry setting diagnosed with SSD (OP group) and fifty participants matched for age, gender, education, and diagnosis (Non-OP group) were included in the study. A higher risk of violent relapse as measured by HCR-20 clinical subscale scores (p < 0.002) and greater global clinical severity as measured by CGI-S scores (p = 0.023) emerged as individual predictors of worse psychosocial functioning, as measured by PSP scores, in the OP group. Greater global clinical severity (p < 0.001), worse performance in the processing speed domain as measured by the BACS Symbol Coding (p = 0.002) and TMT-A tests (p = 0.016) and higher levels of non-planning impulsivity as measured by BIS-11 scores (p < 0.001) emerged as individual predictors of worse psychosocial functioning in the Non-OP group. These results confirm that clinical severity impacts psychosocial functioning in all individuals diagnosed with SSD and suggest that while cognitive impairment clearly represents a determinant of worse functional outcomes in most patients, the risk of violent relapse is a specific predictor of worse psychosocial functioning in people with SSD that committed criminal offences.

Cognitive and clinical characteristics of offenders and non-offenders diagnosed with schizophrenia spectrum disorders: results of the Recoviwel observational study.

The association between schizophrenia spectrum disorders (SSD) and violent behavior is complex and requires further research. The cognitive correlates of violent behavior, in particular, remain to be further investigated. Aims of the present study were to comprehensively assess the cognitive and clinical profile of SSD violent offenders and evaluate individual predictors of violent behavior. Fifty inmates convicted for violent crimes in a forensic psychiatry setting and diagnosed with SSD were compared to fifty non-offender patients matched for age, gender, education, and diagnosis. Offender and non-offender participants were compared based on socio-demographic, clinical, and cognitive variables using non-parametric testing to select potential predictors of violent behavior. Multivariate logistic regressions were then performed to identify individual predictors of violent behavior. Offender participants showed more school failures, higher prevalence of substance use, higher Clinical Global Impression Severity Scale (CGI-S) and Positive and Negative Syndrome Scale Excited Component (PANSS-EC) scores, worse working memory and better attention performance, higher Historical Clinical and Risk Management scale 20 (HCR-20) and Hare Psychopathy Checklist (PCL-R) scores in all subdomains and factors. School failures, higher PANSS-EC scores, worse working memory and processing speed, better attention performance, higher scores in HCR-20 Management subscale and the PCL-R "Callous" factor emerged as predictors of violent behavior. Better attentional performance was correlated with higher PCL-R "Callous" factor scores, worse cognitive performance in several domains with higher PCL-R "Unstable" factor scores. In conclusion, the present study highlights the importance of carefully assessing SSD patients with violent behavior in all clinical, cognitive, and behavioral aspects.

The role of shared decision-making in improving adherence to pharmacological treatments in patients with schizophrenia: a clinical review.

Shared decision-making (SDM) is a process in which the doctor provides clear and complete medical information to patients about their treatment, and patients provide information on his/her preferences. Patients and clinicians bring different, but equally important, knowledge to the decision-making process. Through the adoption of SDM, it should be possible to overcome the barriers that hinder the acceptance of long-acting injectable antipsychotics (LAIs) by patients, and often also by psychiatrists. The present paper is a critical appraisal of recent literature on the impact of SDM in improving adherence to pharmacological treatments and in implementing the use of LAIs in the treatment of patients with schizophrenia. SDM is recognized as a promising strategy to improve collaboration between clinicians and patients in achieving recovery. When considering drug treatments, clinicians must evaluate the patient's preferences, expectations and concerns towards the development of a personalized treatment strategy. Moreover, an active involvement in the decision process could reduce the patient's perception of being coerced into the use of LAIs. Involving patients in the choice of therapy is not sufficient to increase pharmacological adherence if, at the same time, there is no constant work of comparison and communication with the reference psychiatric team. SDM can be particularly effective for LAI prescription, since patient can have prejudices and unjustified fears related to the LAI formulation, which the doctor must resolve.

Well-being in patients with schizophrenia, mood and personality disorders attending psychiatric services in the community. A controlled study.

BACKGROUND: Poor attention is paid by recent research to the prevalence of mental well-being in psychiatric patients and the comparison between groups with different diagnoses. Data suggest that the presence of mental illness does not necessarily mean the absence of well-being, particularly in stable outpatients. METHODS: A consecutive series of 375 patients attending two community mental health centers was given the Mental Health Continuum Short Form (MHC-SF) and the Clinical Global Impression - Severity scale. Diagnoses were made after the MINI Neuropsychiatric Interview and a chart review of all relevant clinical information. The flourishing category and the three components of MHC-SF were used to rate well-being. A total of 274 controls were taken from the employees at a local firm. RESULTS: The rates of flourishing mental health were: 33.1% schizophrenia, 36.6% bipolar disorder, 23.3% unipolar depression, 24.4% cluster B personality disorder, and 53.3% controls (p < 0.001). The comparison of the three MHC components across diagnostic groups found that unipolar depression and cluster B personality patients had significantly lower scores compared to bipolar and schizophrenia patients. Flourishing mental health was detected more often in males than females (34.9% vs. 24.1% - p < 0.05). For schizophrenia patients indices of well-being were better in those on depot medications. CONCLUSIONS: Psychiatric outpatients with major mental illness have lower rates of well-being compared to controls, although about one-third is flourishing. Patients with unipolar depression and cluster B personality disorder may deserve special attention when planning intervention for fostering well-being.