ArticleFrontiers in public health2021
Right Care, First Time: Developing a Theory-Based Automated Protocol to Help Clinically Stage Young People Based on Severity and Persistence of Mental Illness.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Improving Digital Measurement-Based Care Within Emerging Adult Mental Health Care Pathways: Protocol for a Co-Design Phase Embedded in a Multimethod Rapid Learning Health System Study.JMIR research protocols · 2026Article
- Transdiagnostic Clinical Staging in Youth Mental Health: A primer for clinical practice.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Review
- Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures.JMIR research protocols · 2024Article
- Patterns of emergency department presentations for a youth mental health cohort: data-linkage cohort study.BJPsych open · 2023Article
- Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study.JMIR formative research · 2023Article
- Improving programme-led and focused interventions for eating disorders: An experts' consensus statement-A UK perspective.European eating disorders review : the journal of the Eating Disorders Association · 2023Review
- Informing the Future of Integrated Digital and Clinical Mental Health Care: Synthesis of the Outcomes From Project Synergy.JMIR mental health · 2022Article
- How Can We Actually Change Help-Seeking Behaviour for Mental Health Problems among the General Public? Development of the 'PLACES' Model.International journal of environmental research and public health · 2022Article
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Authors and funding
7 authors.
Funding
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Abstract
Most mental disorders emerge before the age of 25 years and, if left untreated, have the potential to lead to considerable lifetime burden of disease. Many services struggle to manage high demand and have difficulty matching individuals to timely interventions due to the heterogeneity of disorders. The technological implementation of clinical staging for youth mental health may assist the early detection and treatment of mental disorders. We describe the development of a theory-based automated protocol to facilitate the initial clinical staging process, its intended use, and strategies for protocol validation and refinement. The automated clinical staging protocol leverages the clinical validation and evidence base of the staging model to improve its standardization, scalability, and utility by deploying it using Health Information Technologies (HIT). Its use has the potential to enhance clinical decision-making and transform existing care pathways, but further validation and evaluation of the tool in real-world settings is needed.
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