Cognitive impairment is a core feature of schizophrenia and a key determinant of functional outcome. Although conventional paper-and-pencil based cognitive assessments used in schizophrenia remained relatively static during most of the 20th century, this century has witnessed the emergence of innovative digital technologies that aim to enhance the ecological validity of performance-based assessments. This narrative review provides an overview of new technologies that show promise for enhancing the ecological validity of cognitive and functional assessments.
View Article and Find Full Text PDFBackground: Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.
Methods: We obtained data from the VA Corporate Data Warehouse (CDW).
People with depression often underutilize mental health care. This study was conceived as a first step toward a clinical decision support tool that helps identify patients who are at higher risk of underutilizing care. The primary goals were to (a) describe treatment utilization patterns, early termination, and return to care; (b) identify factors associated with early termination of treatment; and (c) evaluate the accuracy of regression models to predict early termination.
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