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Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study.

Min Kyung ChongIan B HickieShane P CrossSarah McKennaMathew VaridelWilliam CaponTracey A DavenportHaley M LaMonicaVilas SawrikarAdam John GuastellaSharon L NaismithElizabeth M ScottFrank Iorfino
Published in: JMIR formative research (2023)
This novel digital algorithm is sufficiently robust to be used as an adjunctive decision support tool to stratify care and assist with demand management in youth mental health services. This work could transform care pathways and expedite care allocation for those in the early stages of common anxiety and depressive disorders. Between 11% and 27% of young people seeking care may benefit from low-intensity, self-directed, or brief interventions. Findings from this study suggest the possibility of redirecting clinical capacity to focus on individuals in stage 1b+ for further assessment and intervention.
Keyphrases
  • healthcare
  • palliative care
  • quality improvement
  • mental health
  • randomized controlled trial
  • young adults
  • affordable care act
  • lymph node
  • machine learning
  • depressive symptoms
  • bipolar disorder
  • pet ct