Franco Mascayano1, Els van der Ven1, Gonzalo Martinez-Ales1, Cale Basaraba1, Nev Jones1, Rufina Lee1, Iruma Bello1, Ilana Nossel1, Stephen Smith1, Thomas E Smith1, Melanie Wall1, Ezra Susser1, Lisa B Dixon1. 1. Department of Epidemiology, Mailman School of Public Health, Columbia University, New York (Mascayano, van der Ven, Martinez-Ales, Susser); Division of Behavioral Health Services and Policies, New York State Psychiatric Institute, New York (Mascayano, Basaraba, Bello, Nossel, S. Smith, T. Smith, Wall, Susser, Dixon); School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands (van der Ven); Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Tampa (Jones); Silberman School of Social Work, Hunter College, City University of New York, New York (Lee). Editor Emeritus Howard H. Goldman, M.D., Ph.D., served as decision editor on the manuscript.
Abstract
OBJECTIVE: Although specialized early intervention services (EISs) for psychosis promote engagement in care, a substantial number of individuals who receive these services are discharged from care earlier than expected. The main goal of this study was to examine predictors of early discharge in a large sample of individuals enrolled in an EIS program in the United States. METHODS: This cohort study (N=1,349) used programmatic data from OnTrackNY, an EIS program that delivers evidence-based interventions to youths across New York State experiencing a first episode of nonaffective psychosis. The main outcome was "early discharge," which was operationalized as discharge prior to completing 12 months of treatment. Cox proportional hazard regression models were used to assess the association between sociodemographic, clinical, and support system predictors and early discharge. RESULTS: The estimated probability of discharge before 1 year was 32%. Participants who at baseline had poor medication adherence, had no health insurance, were living alone or with nonparental family, or were using cannabis were at higher risk of leaving services within the first 12 months after enrollment. Individuals with higher social functioning were at lower risk of being discharged early from OnTrackNY, but those with higher occupational functioning were at a higher risk. CONCLUSIONS: Predictors of early discharge from EISs largely overlapped with previously identified predictors of poor prognosis in early psychosis. However, the association between early discharge and high occupational functioning indicates that trajectories leading up to discharge are heterogeneous.
OBJECTIVE: Although specialized early intervention services (EISs) for psychosis promote engagement in care, a substantial number of individuals who receive these services are discharged from care earlier than expected. The main goal of this study was to examine predictors of early discharge in a large sample of individuals enrolled in an EIS program in the United States. METHODS: This cohort study (N=1,349) used programmatic data from OnTrackNY, an EIS program that delivers evidence-based interventions to youths across New York State experiencing a first episode of nonaffective psychosis. The main outcome was "early discharge," which was operationalized as discharge prior to completing 12 months of treatment. Cox proportional hazard regression models were used to assess the association between sociodemographic, clinical, and support system predictors and early discharge. RESULTS: The estimated probability of discharge before 1 year was 32%. Participants who at baseline had poor medication adherence, had no health insurance, were living alone or with nonparental family, or were using cannabis were at higher risk of leaving services within the first 12 months after enrollment. Individuals with higher social functioning were at lower risk of being discharged early from OnTrackNY, but those with higher occupational functioning were at a higher risk. CONCLUSIONS: Predictors of early discharge from EISs largely overlapped with previously identified predictors of poor prognosis in early psychosis. However, the association between early discharge and high occupational functioning indicates that trajectories leading up to discharge are heterogeneous.
Entities:
Keywords:
Early discharge; Early interventions services; Predictors; Psychoses; Psychosis; Recovery
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