Right Care, First Time
Developing a Theory-Based Automated Protocol to Help Clinically Stage Young People Based on Severity and Persistence of Mental Illness
Bibliographic Data
| ID | 22073247 |
|---|---|
| Authors | Frank Iorfino (0000-0003-1109-0972, The University of Sydney, corresponding author), Vanessa Wan Sze Cheng (0000-0001-7203-5972, The University of Sydney), Shane Cross (0000-0002-5413-8342, The University of Sydney), Shane P Cross, Hannah Frances Yee (0000-0002-7318-3608, The University of Sydney), Tracey A Davenport (0000-0003-4218-9238, The University of Sydney), Elizabeth M Scott (0000-0003-3279-8144), Elizabeth Scott (0000-0003-3907-0324, The University of Sydney), Ian B Hickie (0000-0001-8832-9895, The University of Sydney) |
| Year | 2021 |
| Volume | 9 |
| Pages | 621862-621862 |
| Publication date | 2021-08-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.621862 |
| PMID | 34513775 |
| OpenAlex | W3198600276 |
| Language | EN |
| Citations received | 1 |
| References cited | 36 |
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
Alternative medicine · Mental health · Mental illness · Psychiatry · Psychological intervention · Scalability · Standardization · Computer Science · Digital Mental Health Interventions · Health Policy Implementation Science · Medicine · Mental Health Research Topics
Adult mental health disorders and their age at onset
The Covid-19 pandemic
Estimating the true global burden of mental illness
The long shadow cast by childhood physical and mental problems on adult life
The 16-Item quick inventory of depressive symptomatology (Qids), clinician rating (Qids-C), and self-report (Qids-SR)
Mental health of young people
The Lancet Commission on global mental health and sustainable development
The PHQ-9
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |