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Universal depression screening in schools can identify students needing mental health services. System dynamics modeling shows that while screening improves access, enhancing intervention effectiveness has limited impact on overall recovery and service availability.

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Area of Science:

  • Adolescent mental health
  • School-based health services
  • System dynamics modeling

Background:

  • Depression rates increase during adolescence, yet mood disorder symptoms are often missed.
  • Schools are ideal for universal screening, but few districts implement depression screening due to service capacity concerns.
  • System dynamics (SD) modeling offers a method to evaluate such implementation challenges.

Purpose of the Study:

  • To demonstrate the application of SD modeling for informing community-level implementation decisions.
  • To estimate the service demand generated by universal depression screening in a high school setting.
  • To simulate the impact of compensatory strategies on service delivery.

Main Methods:

  • Utilized system dynamics modeling to simulate universal depression screening in a high school.
  • Estimated additional service demand and evaluated compensatory approaches.
  • Simulated effects of increased staff time and improved intervention effectiveness.

Main Results:

  • Screening facilitates faster entry into mental health services for students.
  • Improving mental health intervention effectiveness showed a limited impact on recovery rates and service availability.
  • SD modeling proved valuable for informing decisions regarding new school mental health services.

Conclusions:

  • Universal depression screening in schools is feasible and improves access to care.
  • Enhancing intervention effectiveness alone may not sufficiently address service capacity issues.
  • System dynamics modeling is a powerful tool for planning and optimizing school mental health services.