Implementation support for the data-driven components of care in a multisite network of coordinated specialty care...

Area of Science:

• Psychiatry and Mental Health
• Health Services Research
• Implementation Science

Background:

• Implementation support for data-informed care in coordinated specialty care (CSC) for first-episode psychosis is underdeveloped.
• The New Journeys network in Washington State, a CSC model for psychosis, comprises 14 programs.
• Effective data utilization is crucial for optimizing CSC outcomes.

Purpose of the Study:

• To describe the development and refinement of implementation support for data-driven care within the New Journeys network.
• To outline the specific components, tools, training, and technical assistance provided.
• To share lessons learned for improving data-driven care implementation in CSC models nationally.

Main Methods:

• Utilized the Evidence-Based System for Innovation Support Logic Model.
• Developed and refined implementation support components over nine years.
• Incorporated feedback from clients, providers, and administrators for modifications.

Main Results:

• Detailed the specific components of implementation support, including tools, training, technical assistance, and quality improvement.
• Presented examples of adaptations made over nine years to meet evolving needs.
• Demonstrated a systematic approach to refining data-driven care support.

Conclusions:

• Implementation support is vital for data-driven care in CSC for psychosis.
• Continuous refinement based on stakeholder feedback is essential for successful data integration.
• Recommendations are provided to enhance data-driven care implementation in CSC models across the USA.