Purpose: To inform states with nursing home transition programs, we determine what risk factors are associated with participants' long-term readmission to nursing homes within 1 year after discharge. Design and Methods: We obtained administrative data for all 1,354 nursing home residents who were discharged, and we interviewed 628 transitioning through New Jersey's nursing home transition program in 2000. We used the Andersen behavioral model to select predictors of long-term nursing home readmission, and we used Cox proportional hazards regressions to examine the relative risk of experiencing such readmissions. Results: Overall, 72.6% of the 1,354 individuals remained in the community, with 8.6% readmitted to a nursing home for long stays (.90 days) and 18.8% dying during the study year. Cox proportional hazards regression analysis showed that being male, single, and dissatisfied with one's living situation; living with others; and falling within 8 to 10 weeks after discharge were significant predictors of long-term nursing home readmission during the first year after discharge. Implications: Most of the factors predicting long-term readmission were predisposing, not need, factors. This fact points to the limits of formulaic approaches to assessing candidates for discharge and the importance of working with clients to understand and address their particular vulnerabilities. Consumers, state policy makers, nursing home transition staff, discharge planners, and caregivers can use these findings to understand and help clients understand their particular risks and options, and to identify those individuals needing the greatest attention during the transition period as well as risk-specific services such as fall-prevention programs that should be made available to them.

Mortality from cardiovascular disease is increased in people with mental health disorders in general and schizophrenia in particular. The causes are multifactorial, but it is known that antipsychotic medication can cause cardiac side-effects beyond the traditional coronary risk factors. Schizophrenia itself is a contributor to an increased risk of cardiovascular mortality via cardiac autonomic dysfunction and a higher prevalence of metabolic syndrome, both contributing to a reduced life expectancy. The pro-arrhythmic impact of traditional antipsychotics, especially via the hERG-potassium channel, has been known for several years. Newer antipsychotics have a reduced pro-arrhythmic profile but might contribute to higher cardiac death rates by worsening the metabolic profile. Clozapine-induced cardiomyopathy, which is dose independent, is a further concern and continuous monitoring of these patients is required. Prophylaxis with angiotensin-converting enzyme inhibitors is currently under review. Overall, management of cardiovascular risk within this population group must be multifaceted and nuanced to allow the most effective treatment of serious mental illness to be conducted within acceptable parameters of cardiovascular risk; some practical measures are presented for the clinical cardiologist.

No abstract

High baseline autism spectrum disorder prevalence estimates in New Jersey led to a follow-up surveillance. The objectives were to determine autism spectrum disorder prevalence in the year 2006 in New Jersey and to identify changes in the prevalence of autism spectrum disorder or in the characteristics of the children with autism spectrum disorder, between 2002 and 2006. The cohorts included 30,570 children, born in 1998 and 28,936 children, born in 1994, residing in Hudson, Union, and Ocean counties, New Jersey. Point prevalence estimates by sex, ethnicity, autism spectrum disorder subtype, and previous autism spectrum disorder diagnosis were determined. For 2006, a total of 533 children with autism spectrum disorder were identified, consistent with prevalence of 17.4 per 1000 (95% confidence interval = 15.9-18.9), indicating a significant increase in the autism spectrum disorder prevalence (p < 0.001), between 2002 (10.6 per 1000) and 2006. The rise in autism spectrum disorder was broad, affecting major demographic groups and subtypes. Boys with autism spectrum disorder outnumbered girls by nearly 5:1. Autism spectrum disorder prevalence was higher among White children than children of other ethnicities. Additional studies are needed to specify the influence of better awareness of autism spectrum disorder prevalence estimates and to identify possible autism spectrum disorder risk factors. More resources are necessary to address the needs of individuals affected by autism spectrum disorder.