Violent behavior of patients living in psychiatric residential facilities: A comparison of male patients with different violence histories

People with severe mental disorders and a history of violence are often seen as a difficult-to-manage segment of the population. In addition, this group is usually characterized by a high risk of crime recidivism, and poor compliance with community and aftercare programs. To investigate a sample of male patients living in Residential Facilities (RFs) with a history of violent behavior against people and to compare their characteristics with those of never-violent residents; to analyze the associations between aggressive behaviors in the last two years and a history of previous violence; and, to assess the predictors of aggressive behaviors. This study is part of a prospective observational cohort study which involved 23 RFs in Northern Italy. A comprehensive set of sociodemographic, clinical, and treatment-related information was gathered, and standardized assessments were administered to each participant. Also a detailed assessment of aggressive behaviors in the past two years was carried out. The study involved 268 males: 81 violent and 187 never-violent. Compared to never-violent patients, violent patients were younger, with a higher proportion of personality disorders, and have displayed an increased number of aggressive behaviors in the last two years. The presence of a history of violent behavior in the past significantly increases the probability of committing aggressive acts in the future

The effect of service satisfaction and spiritual well-being on the quality of life of patients with schizophrenia.

Quality of life (QOL) has been considered an important outcome measure in psychiatric research and determinants of QOL have been widely investigated. We aimed at detecting predictors of QOL at baseline and at testing the longitudinal interrelations of the baseline predictors with QOL scores at a 1-year follow-up in a sample of patients living in Residential Facilities (RFs). Logistic regression models were adopted to evaluate the association between WHOQoL-Bref scores and potential determinants of QOL. In addition, all variables significantly associated with QOL domains in the final logistic regression model were included by using the Structural Equation Modeling (SEM). We included 139 patients with a diagnosis of schizophrenia spectrum. In the final logistic regression model level of activity, social support, age, service satisfaction, spiritual well-being and symptoms' severity were identified as predictors of QOL scores at baseline. Longitudinal analyses carried out by SEM showed that 40% of QOL follow-up variability was explained by QOL at baseline, and significant indirect effects toward QOL at follow-up were found for satisfaction with services and for social support. Rehabilitation plans for people with schizophrenia living in RFs should also consider mediators of change in subjective QOL such as satisfaction with mental health services

A derivative-free approach for a simulation-based optimization problem in healtcare

In this work a simulation--based optimization model is considered in the framework of the management of hospital services. Given specific parameters which describe the hospital setting, the simulation model aims at reproducing the hospital processes and evaluating their efficiency. The use of a simulation-based optimization approach is necessary since the model can not be expressed as closed--form function. In order to obtain the optimal setting, we combine a derivative--free optimization method with a discrete event simulation model. The resulting framework has been tested on a real healthcare problem. More specifically, we study how to optimize the performance of an obstetricward of a big Italian hospital, from both an economical and clinical point of view, taking into account some relevant constraints. The resulting optimization problem is a Mixed Integer Nonlinear Programming problem due to the presence of some variables constrained to be integer