Background A growing number of severely ill patients require long-term care in non-hospital residential facilities (RFs). Despite the magnitude of this development, longitudinal studies surveying fairly large resident samples and yielding important information on this population have been very few. Aims The aims of the study were (1) to describe the socio-demographic, clinical, and treatment-related characteristics of RF patients during an index period in 2010; (2) to identify predictors and characteristics associated with discharge at the 1-year follow-up; (3) to evaluate clinicians' predictions about each patient's likelihood of home discharge (HD). Methods A prospective observational cohort study was conducted involving all patients staying in 23 mediumlong-term RFs of the St John of God Order with a primary psychiatric diagnosis. A comprehensive set of sociodemographic, clinical, and treatment-related information was gathered and standardized assessments (BPRS, HO-NOS, PSP, PHI, SLOF, RBANS) were administered to each participant. Logistic regression analyses were run to identify independent discharge predictors. Results The study involved 403 patients (66.7 % male), with a mean age of 49 years (SD = 10). The participants' average illness duration was 23 years; median value for length of stay in the RF was 2.2 years. The most frequent diagnosis was schizophrenia (67.5 %). 104 (25.8 %) were discharged: 13.6 % to home, 8.2 % to other RFs, 2.2 % to supported housing, and 1.5 % to prison. Clinicians' predictions about HD were generally erroneous. Conclusions Very few patients were discharged to independent accommodations after 1 year. The main variables associated with a higher HD likelihood were: illness duration of \15 years and effective social support during the previous year. Lower severity of psychopathology and higher working skill levels were also associated with a significantly greater HD likelihood.
The variables related to the clinical and functional status were reliable predictors for length of stay, for discharge destination, and for re-hospitalisation among older patients admitted to ten geriatric units in Italy. Further research is needed to establish valid and reliable predictors of mortality risk, to develop effective preventive strategies in those vulnerable populations.
a b s t r a c tQuality 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 b s t r a c tBackground: Most people with mental disorders are not violent. However, the lack of specific studies in this area and recent radical changes in Italy, including the closure of six Forensic Mental Hospitals, has prompted a more detailed investigation of patients with aggressive behaviour. Aims: To compare socio-demographic, clinical and treatment-related characteristics of long-term inpatients with a lifetime history of serious violence with controls; to identify predictors of verbal and physical aggressive behaviour during 1-year follow-up. Methods: In a prospective cohort study, patients living in Residential Facilities (RFs) with a lifetime history of serious violence were assessed with a large set of standardized instruments and compared to patients with no violent history. Patients were evaluated bi-monthly with MOAS in order to monitor any aggressive behaviour. Results: The sample included 139 inpatients, 82 violent and 57 control subjects; most patients were male. The bi-monthly monitoring during the 1-year follow-up did not show any statistically significant differences in aggressive behaviour rates between the two groups. The subscale explaining most of the MOAS total score was aggression against objects, although verbal aggression was the most common pattern. Furthermore, verbal aggression was significantly associated with aggression against objects and physical aggression. Conclusions: Patients with a history of violence in RFs, where treatment and clinical supervision are available, do not show higher rates of aggressiveness compared to patients with no lifetime history of violence. Since verbal aggression is associated with more severe forms of aggression, prompt intervention is warranted to reduce the risk of escalation.
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