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Comprehensive integration of mental health screening and triage with mental performance services through a sport science hub model in collegiate sport

AI Summary
  • Operational fragmentation weakens follow-through, coordination and clarity on privacy, scope and accountability; solutions require governed infrastructure linking identification to action.
  • Sport science hub coordinates two linked lanes: structured clinician-led MH screening, triage and referral; and non-clinical mental performance profiling and skills support.
  • Establish explicit guardrails, including role separation, auditable privacy, non-punitive protections and emergency escalation; pursue research on implementation, acceptability and screening accuracy.
Summarise with AI (MRCPsych/FRANZCP)

Discov Ment Health. 2026 Jul 19. doi: 10.1007/s44192-026-00552-y. Online ahead of print.

ABSTRACT

Collegiate sport environments often bring mental health (MH) and performance (MP) into close interaction; yet, screening, triage, referral, and MP support often remain operationally fragmented. This fragmentation may weaken follow-through after screening, limit coordination across clinical and performance services, and create uncertainty around privacy, scope boundaries, and accountability. In this Perspective, drawing on implementation science, integrated care, and systems-oriented organizational design, we suggest that a promising direction in athlete MH-MP support is not simply expanding screening availability, but building governed infrastructure that better connects identification to action. We propose a sport science hub model for coordinating two linked but distinct lanes: (1) structured MH screening, triage, and clinician-led referral workflows, and (2) MP profiling and skills-based support delivered within non-clinical scope. The model is organized around explicit guardrails, including role separation, privacy-secured and auditable access, non-punitive use protections, and emergency escalation pathways. We discuss the rationale for using structured screening and referral processes while acknowledging the limitations of current screening tools, including false-negative and false-positive concerns, and the importance of interpreting performance disruption in context rather than medicalizing normal variation. We conclude with governance principles and a forward-looking research agenda focused on implementation, trust, acceptability, screening accuracy, and prospective evaluation of integrated MH-MP systems.

PMID:42472405 | DOI:10.1007/s44192-026-00552-y

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