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Summary

A quality improvement collaboration between crisis centers and payers uses daily data to identify care gaps. This approach significantly reduced patient readmissions and the number of high-service utilizers.

Keywords:
Administration & managementQuality improvement

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Area of Science:

  • Healthcare Management
  • Quality Improvement Science
  • Public Health

Background:

  • Crisis center visits represent potential missed opportunities for community mental health stabilization.
  • Traditional financial claims data for service analysis can have a significant lag (up to 90 days).
  • Timely data analysis is crucial for effective healthcare quality improvement initiatives.

Purpose of the Study:

  • To describe a collaborative quality improvement model between a crisis center and a payer.
  • To leverage daily crisis visit data for more immediate trend analysis.
  • To reduce readmissions and the number of high utilizers through targeted interventions.

Main Methods:

  • Daily data on crisis center visits were shared with a payer for trend analysis.
  • Collaborative identification of patterns indicating opportunities for service improvement.
  • Implementation of multiple rapid-cycle quality improvement projects.

Main Results:

  • Significant decreases in patient readmission rates were observed.
  • A notable reduction in the number of high utilizers of crisis services was achieved.
  • Improved management of crisis services through data-driven collaboration.

Conclusions:

  • A collaborative quality improvement approach using real-time data can effectively enhance crisis care.
  • Proactive identification and intervention based on daily trends lead to better patient outcomes.
  • Partnerships between service providers and payers are vital for optimizing healthcare delivery.