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Updated: Jun 28, 2025
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
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Exploring Data Collection Priorities of Community Partners in Early Psychosis Care
Mark Savill1, Lindsay M Banks1, Valerie L Tryon1
1Department of Psychiatry and Behavioral Health Sciences, University of California, Davis, Davis (Savill, Banks, Tryon, Ereshefsky, Nye, Botello, Padilla, Muro, Niendam); Weill Institute for Neurosciences, University of California, San Francisco, San Francisco (Loewy).
Psychiatric Services (Washington, D.C.)
|April 10, 2024
Summary
Incorporating community partner input into data collection for early psychosis care improves data relevance and utility. This approach enhances learning health care networks and optimizes data for all stakeholders.
Area of Science:
- Health Services Research
- Mental Health Services
- Data Science in Healthcare
Background:
- Learning health care networks enhance care delivery effectiveness, consistency, and cost-efficiency.
- Data harmonization requires community partner perspectives to ensure relevance and utility.
Purpose of the Study:
- To explore priorities for data collection in early psychosis care from diverse stakeholder perspectives.
- To inform the development of core assessment batteries for optimizing data utility in community mental health settings.
Main Methods:
- A mixed-methods study involving 22 focus groups with 178 participants (providers, leadership, service users, family members) across 10 early psychosis programs.
- Thematic analysis of focus group transcripts to identify key priorities and preferences for data collection.
Main Results:
- Participants identified functioning, quality of life, recovery, and psychosis symptoms as key outcomes.
- Stakeholders emphasized clinical utility, a broad conceptualization of constructs, and preference for client-reported measures.
- A recovery-oriented, strengths-based approach was favored for surveys.
Conclusions:
- Aggregating routine health care data can benefit research and quality improvement.
- Data relevance and accessibility are crucial for realizing these benefits.
- This study offers an approach to optimize data utility for all community partners in early psychosis care.
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