Defining Episodes of Care in Children's Mental Health Using Administrative Data.

Criteria to define an episode of care in children's mental health services are needed. Various criteria were applied to 5 years of visit data from children 4-11 years (N = 5,206) at their first visit to 1 of 3 children's mental health agencies. A minimum of 3 visits with 180 days between episodes optimized agreement with other dates (e.g., telephone intake assessment) marking the start and end of an episode, and clinician-rated number of episodes. Grouping visits into episodes provides a clearer representation of how services are distributed over extended periods of time, facilitating research and enhancing accuracy in service planning.

Cognitive processing of facial affect: connectionist model of deviations in schizophrenia.

Connectionist-model simulations of competing hypotheses of cognition in schizophrenia were constructed and tested. Emphasis was placed on judgment of affect, a prominent area of disturbance in this disorder with potential implications for social impairment. Participants with paranoid or nonparanoid schizophrenia and control participants provided judgments of affect as expressed in photographic faces. Schizophrenia groups were less accurate than control groups, and the paranoid group had greater latencies than did other groups. Model predictions simultaneously addressed judgment content and latencies for each trial. Results provide a connectionist extension of an account of deficits in schizophrenia that originated at the computational (stochastic modeling) level of analysis. This account postulates extra stages of item encoding but no reduction in formally defined processing capacity. It also provides for abnormalities in both judgment patterns and duration and is consistent with biological accounts of schizophrenia deficits. The substantive findings are supported by strategic innovations in the construction and testing of connectionist models.

Application of stochastic modeling to the assessment of group and individual differences in cognitive functioning.

This article begins with a guiding schema of relations among cognitive science, clinical science, and assessment technology. Emphasis is placed on stochastic modeling of cognitive processes. Basic models are adjusted so as to parsimoniously accommodate performance deviations occurring with psychopathology. Modified portions of models indicate functions affected by disorder, whereas portions remaining intact indicate spared functions. Findings from clinical cognitive science are applied to the individual case using Bayesian procedures. Methods are instantiated with respect to cognitive psychopathology of paranoid schizophrenia. The authors address observations and issues arising from this application, including integration of these methods with current assessment practices.