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Related Concept Videos

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Related Experiment Video

Updated: Jun 27, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Client Engagement With an Early Psychosis Program and Post-Program Health Service Use: A Retrospective Cohort Study.

Nathan K Smith1, Leslie Anne Campbell1, Candice E Crocker2,3

  • 1Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada.

Early Intervention in Psychiatry
|June 26, 2026
PubMed
Summary

Understanding patient engagement in early intervention services for psychosis is crucial. Intermittently engaged patients utilized more health services, highlighting the need to analyze engagement beyond a simple engaged/disengaged binary.

Keywords:
early interventionearly psychosishealth services researchpsychotic disorderstreatment engagement

Related Experiment Videos

Last Updated: Jun 27, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

  • Psychiatry
  • Mental Health Services Research
  • Health Services Administration

Background:

  • Early Intervention Services (EIS) for first-episode psychosis (FEP) face challenges with patient engagement.
  • Binary measures of engagement (engaged/disengaged) limit understanding of complex patient trajectories.
  • This study investigates engagement patterns in the Nova Scotia Early Psychosis Program (NSEPP).

Purpose of the Study:

  • To examine demographic, clinical, and health service utilization patterns across different engagement types (engaged, intermittently engaged, disengaged) in FEP services.
  • To identify predictors of post-program health service utilization based on engagement during the program.
  • To challenge the binary classification of patient engagement in research and practice.

Main Methods:

  • Retrospective cohort study of 331 individuals enrolled in NSEPP (2005-2015).
  • Linked clinical and administrative data to characterize engagement types and health service utilization.
  • Used negative binomial regression to assess associations between engagement and post-program outcomes (ED visits, hospital admissions).

Main Results:

  • Intermittently engaged patients exhibited the highest illness severity during program enrollment, including significant hospital stays.
  • This group also had the highest rates of emergency department visits and hospital admissions during the program.
  • During-program health service use strongly predicted post-program utilization of emergency and inpatient mental health services.

Conclusions:

  • Distinct health service utilization patterns exist across engaged, intermittently engaged, and disengaged patient groups.
  • Engagement dichotomization may obscure critical heterogeneity in patient needs and program interactions.
  • Characterizing the full engagement continuum, including intermittent engagement, is vital for improving EIS access and effectiveness.