Evidence map›Paper›PMID 39693140›Full record

Observational studyJournal of medical Internet research2024

A Digital Approach for Addressing Suicidal Ideation and Behaviors in Youth Mental Health Services: Observational Study.

Min K Chong, Ian B Hickie, Antonia Ottavio, David Rogers, Gina Dimitropoulos, Haley M LaMonica, Luke J Borgnolo, Sarah McKenna, Elizabeth M Scott, Frank Iorfino

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Safety Planning for Youth in the Emergency Department Who Have Suicide Risk.Journal of the American College of Emergency Physicians open · 2025
    Article
  4. Article
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.

Min K ChongBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0003-4562-731X
Ian B HickieBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0001-8832-9895
Antonia Ottavioheadspace Bondi Junction, Sydney, Australia.ORCID 0000-0001-8307-6200
David Rogersheadspace Port Macquarie Youth Services, Port Macquarie, Australia.ORCID 0009-0007-9884-4242
Gina DimitropoulosFaculty of Social Work, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-9487-0290
Haley M LaMonicaBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-6563-5467
Luke J BorgnoloBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0009-0004-8221-2783
Sarah McKennaBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0002-8560-6399
Elizabeth M ScottBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0003-3907-0324
Frank IorfinoBrain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID 0000-0003-1109-0972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong wait times for mental health treatments may cause delays in early detection and management of suicidal ideation and behaviors, which are crucial for effective mental health care and suicide prevention. The use of digital technology is a potential solution for prompt identification of youth with high suicidality.

objectiveThe primary aim of this study was to evaluate the use of a digital suicidality notification system designed to detect and respond to suicidal needs in youth mental health services. Second, the study aimed to characterize young people at different levels of suicidal ideation and behaviors.

methodsYoung people aged between 16 and 25 years completed multidimensional assessments using a digital platform, collecting demographic, clinical, social, functional, and suicidality information. When the suicidality score exceeded a predetermined threshold, established based on clinical expertise and service policies, a rule-based algorithm configured within the platform immediately generated an alert for treating clinicians. Subsequent clinical actions and response times were analyzed.

resultsA total of 2021 individuals participated, of whom 266 (11%) triggered one or more high suicidal ideation and behaviors notification. Of the 292 notifications generated, 76% (222/292) were resolved, with a median response time of 1.9 (range 0-50.8) days. Clinical actions initiated to address suicidality included creating safety plans (60%, 134/222), conducting safety checks (18%, 39/222), psychological therapy (8%, 17/222), transfer to another service (3%, 8/222), and scheduling of new appointments (2%, 4/222). Young people with high levels of suicidality were more likely to present with more severe and comorbid symptoms, including low engagement in work or education, heterogenous psychopathology, substance misuse, and recurrent illness.

conclusionsThe digital suicidality notification system facilitated prompt clinical actions by alerting clinicians to high levels of suicidal ideation and behaviors detected among youth. Further, the multidimensional assessment revealed complex and comorbid symptoms exhibited in youth with high suicidality. By expediting and personalizing care for those displaying elevated suicidality, the digital notification system can play a pivotal role in preventing rapid symptom progression and its detrimental impacts on young people's mental health.

Indexed as

Mental Health ServicesSuicidal IdeationAdolescentAdultFemaleHumansMaleSuicide PreventionYoung Adultclinical decision supportclinical informationcliniciandigital healthdigital technologyhealth informaticsmental healthmental health caremental health serviceonline assessmentpersonalizationprimary caresuicidalsuicidesuicide managementsuicide preventionyouthyouth mental health

Identifiers

PMID39693140
PMCPMC11694056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.