A Digital Platform Designed for Youth Mental Health Services to Deliver Personalized and Measurement-Based Care
Open accessAbstract
Mental disorders that commonly emerge during adolescence and young adulthood are associated with substantial immediate burden and risks, as well as potentially imparting lifetime morbidity and premature mortality. While the development of health services that are youth focused and prioritize early intervention has been a critical step forward, an ongoing challenge is the heterogeneous nature of symptom profiles and illness trajectories. Consequently, it is often difficult to provide quality mental health care, at scale, that addresses the broad range of health, social, and functional needs of young people. Here, we describe a new digital platform designed to deliver personalized and measurement-based care. It provides health services and clinicians with the tools to directly address the multidimensional needs of young people. The term "personalized" describes the notion that the assessment of, and the sequence of interventions for, mental disorders are tailored to the young person-and their changing needs over time, while "measurement-based" describes the use of systematic and continuing assessment of a young person's outcomes over the entire course of clinical care. Together, these concepts support a framework for care that transcends a narrow focus on symptom reduction or risk reduction. Instead, it prioritizes a broader focus on enhancing social, health, and physical outcomes for young people and a commitment to tracking these outcomes throughout this key developmental period. Now, with twenty-first century technologies, it is possible to provide health services with the tools needed to deliver quality mental health care.
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Personalizing the intervention can improve its effectiveness and lead to provision of quality care.
“Personalizing the intervention can improve its effectiveness and the lead to provision of quality care. 32”
From Technology-Based Interventions to Improve Help-Seeking for Mental Health Concerns: A Systematic Review (2022) · cites this paper as [32]
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Self-citationTowards the Achievement of Frugal Innovation: Exploring Major Antecedents among SMEs
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Self-citationPersonalization in Digital Psychological Interventions for Young Adults
Jahedi, F., Henman, P. W. F., & Ryan, J. C. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2158261 · Cited by 23 · see citing works
A collaborative realist review of remote measurement technologies for depression in young people
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Personalisation and Recommendation for Mental Health Apps: A Scoping Review
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Youth Mental Health Screening and Linkage to Care
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Self-citationCapon, W., Hickie, I. B., Fetanat, M., Varidel, M., LaMonica, H. M., Prodan, A., Piper, S., Davenport, T. A., Mughal, S., Shah, J. L., et al. (2023) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2023.152404 · Cited by 15 · see citing works
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Self-citationDefining and operationalizing personalized psychological treatment – a systematic literature review
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Digital Mental Health Amid COVID-19
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Psychometric Properties of the Weekly Assessment of Child Behavior–Positive Form (WACB-P)
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Innovative preclinic triage system to guide Australians to the right mental health care first time
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Dynamic learning of individual-level suicidal ideation trajectories to enhance mental health care
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Self-citationBig data analytics and internet of things for personalised healthcare: opportunities and challenges
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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis
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Self-citationIncreasing Engagement in eHealth Interventions Using Personalization and Implementation Intentions
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Self-citationBrain fingerprinting: A promising future application for predicting mental illness
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Digital Health Technology Implementation: Is It Effective in a Healthy Healthcare Perspective?
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Digital Tools to Support Post‐Secondary Student Mental Health and Wellbeing
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Self-citationThe “uberisation” of mental health care: a welcome global phenomenon?
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Self-citationValidating an adaptive digital assessment of youth mental health needs: a cross-sectional study
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What entrepreneurial decisions enable the breeding of digital platform unicorns?
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Self-citationA prognostic model for predicting functional impairment in youth mental health services
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Self-citationPathways to suicidal ideation for young people engaged in mental health care
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Designing and Evaluating Digital Mental Health Interventions: Scoping Review
Mbawa, S. Z., de Vries, R. A. J., Siebert, L. C., van Turnhout, K., & Brinkman, W. (2026) · JMIR Mental Health · doi:10.2196/77038 · Cited by 2 · see citing works
Pangsrisomboon, P., Pyae, A., Thawitsri, N., & Liulak, S. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-14832-3_4 · Cited by 2 · see citing works
Providing digital mental health support and guidance across Colombia: An observational study
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Des repères pour la conception des apps ?
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The necessity of digital measurement-based care for navigating complexity in youth mental health
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Self-citationEmbedding Authentic and Effective Awareness About Mental Health in Pre-Service Teacher Training
Fovet, F. (2022) · Advances in higher education and professional development book series · doi:10.4018/978-1-7998-9278-6.ch009 · Cited by 1 · see citing works
A Survey Study of Strategies for Improving User Interface in Mental Health
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Self-citationReal-Time WebRTC-Based Application for Psychological Support During COVID-19
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Évaluation et intervention en thérapie cognitivo-comportementale
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Smartphone Apps for Addictive Disorders
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- Authors
- Iorfino, F., Cross, S. P., Davenport, T., Carpenter, J. S., Scott, E., Shiran, S., & Hickie, I. B.
- Affiliations
- The University of Sydney (AU)
- The University of Notre Dame Australia (AU)
- Corresponding author
- Iorfino, Frank
- ORCID
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2019-08-23
- Volume
- 10
- Pages
- 595-595
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC6716201
- OpenAlex
- W2965475181
- Cited by
- 125
- References
- 76
- Citations by year
- 2026: 12 · 2025: 22 · 2024: 28 · 2023: 15 · 2022: 12 · 2021: 23 · 2020: 8 · 2019: 4 · 2018: 1
- FWCI
- 13.28
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ResearchOnline@ND (The University of Notre Dame) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Australian Government
- Medical Research Council
- National Health and Medical Research Council (511921, 1061043, No. 511921, No. 1061043)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Keywords
- youth mental health, digital platforms, individualized care, measurement-based care, adolescent mental disorders, early adulthood, early intervention, outcome monitoring, mental health services
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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