ArticleGlobal implementation research and applications2022
Using Implementation Science to Inform Workforce and Service Development in Youth Mental Health: An Australian Case Study.
Article in Global implementation research and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Identifying Research Priorities in Early Psychosis: A Collaborative Approach to Shaping the Future of Early Psychosis Clinical Trials in Australia.Early intervention in psychiatry · 2026Article
- Exploring the Implementation of Cognitive Screening in First-Episode Psychosis Settings: The CogScreen Implementation Study.Early intervention in psychiatry · 2025Article
- Unpacking the Facilitation Component of a Toolkit for Implementing Mental Health Recovery Guidelines into Services.Global implementation research and applications · 2025Article
- Digital and Hybrid Pediatric and Youth Mental Health Program Implementation Challenges During the Pandemic: Literature Review With a Knowledge Translation and Theoretical Lens Analysis.JMIR pediatrics and parenting · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Globally, mental illness and substance use disorders are the leading cause of disability and disease burden for young people. Orygen is an Australian youth mental health organisation with a mission to reduce the impact of mental ill health on young people, families and society, through research, clinical services, advocacy, and the design and delivery of youth mental health workforce and service development initiatives. Orygen is one of only a few known research and clinical centres with a dedicated knowledge translation division, which concentrates on growing the capacity of the systems, services, and professionals who support young people experiencing mental ill health. This paper provides a case study of the workforce development team within the Orygen knowledge translation, outlining how implementation science informs their work and how the division has adapted its model in the face of COVID-19. Since 2017, the team has delivered training to more than 4000 youth mental health workers across Australia, on the topics of trauma, psychosis, mood and anxiety disorders, brief interventions, cognition and other areas of youth mental health. The COVID-19 pandemic generated abrupt and dramatic changes to the delivery of workforce and service development initiatives in Australia due to significant restrictions to travel and in-person events. It also placed major delivery demands on youth mental health services. This paper outlines how the team at Orygen adapted their approach to youth mental health workforce development in response to COVID-19, offering reflections and future directions for implementation science that can support flexible models of support in a changing system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.