Evidence map›Paper›PMID 36926493›Full record

ArticleFrontiers in health services2021

Using Digital Technologies to Facilitate Care Coordination Between Youth Mental Health Services: A Guide for Implementation.

Frank Iorfino, Sarah E Piper, Ante Prodan, Haley M LaMonica, Tracey A Davenport, Grace Yeeun Lee, William Capon, Elizabeth M Scott, Jo-An Occhipinti, Ian B Hickie

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In one paragraph

Article in Frontiers in health services, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Care coordination for persons with mental health challenges: a scoping review.International journal of mental health systems · 2025
    Article
  6. Article
  7. Article
  8. A prognostic model for predicting functional impairment in youth mental health services.European psychiatry : the journal of the Association of European Psychiatrists · 2024
    Article
  9. Article
  10. Youth Perspectives on 'Highly Personalised and Measurement-Based Care': Qualitative Co-Design of Education Materials.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Characterising variability in youth mental health service populations: A detailed and scalable approach using digital technology.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Frank IorfinoBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Sarah E PiperBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Ante ProdanBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Haley M LaMonicaBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Tracey A DavenportBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Grace Yeeun LeeBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
William CaponBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Elizabeth M ScottBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Jo-An OcchipintiBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Ian B HickieBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhanced care coordination is essential to improving access to and navigation between youth mental health services. By facilitating better communication and coordination within and between youth mental health services, the goal is to guide young people quickly to the level of care they need and reduce instances of those receiving inappropriate care (too much or too little), or no care at all. Yet, it is often unclear how this goal can be achieved in a scalable way in local regions. We recommend using technology-enabled care coordination to facilitate streamlined transitions for young people across primary, secondary, more specialised or hospital-based care. First, we describe how technology-enabled care coordination could be achieved through two fundamental shifts in current service provisions; a model of care which puts the person at the centre of their care; and a technology infrastructure that facilitates this model. Second, we detail how dynamic simulation modelling can be used to rapidly test the operational features of implementation and the likely impacts of technology-enabled care coordination in a local service environment. Combined with traditional implementation research, dynamic simulation modelling can facilitate the transformation of real-world services. This work demonstrates the benefits of creating a smart health service infrastructure with embedded dynamic simulation modelling to improve operational efficiency and clinical outcomes through participatory and data driven health service planning.

Indexed as

care coordinationdigital technologieshealth informaticshealth information technologieshealth servicesimplementation researchmental healthsystems science

Identifiers

PMID36926493
PMCPMC10012639

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read3
Read underepoch 390

Registered trials

None linked

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 Socratic graph.