Co-production of a state-funded centralized psychosis and psychosis risk screening, assessment, and referral service
Year: 2025
Type: review
Abstract: Learning Health Systems (LHSs) strive to continuously integrate innovations and evidence-based practices in healthcare settings, thereby enhancing programmatic and patient outcomes. Duration of untreated psychosis (DUP) is a variable worthy of empirical attention, as the construct has been identified as a leading predictor of psychotic spectrum disorder prognosis and, despite the proliferation of early intervention for psychosis (EIP) teams across the U.S., remains longer than the recommended maximum established by the World Health Organization. Pathways to care are causally implicated as a DUP reduction rate-limiting factor. This paper illustrates a balanced care model, wherein resource-intensive community and clinical services are centralized to support a more efficient, standardized, and direct pathway to EIP care; identification of psychosis and psychotic risk states is made by highly-trained diagnosticians; and measurement-based care across the Learning Health System (LHS) is supported by a central assessment team. The Central Assessment of Psychosis Service (CAPS) streamlines core front-end EIP functions across the LHS, thereby alleviating the burden on EIP teams while enhancing access, equity, efficiency, and quality of the initial psychodiagnostic assessment. CAPS represents an innovative application of the balanced care model that preserves the core functions of the EIP team while task sharing or task shifting resource-intensive activities to an academic medical center partner. We review the five core functions of a centralized referral, screening, and assessment service. Given the potential for centralization to reduce DUP and enhance equity and access across the LHS, this paper will include concrete recommendations for policymakers considering centralizing core functions.
Source: Schizophrenia Research
Institution: University of Washington
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,910
OpenAlex ID: W4406062703
