Evidence map›Paper›PMID 37649805›Full record

ArticleEClinicalMedicine2023

Five healthcare trajectories in the year before suicide and what they tell us about opportunities for prevention: a population-level case series study.

Kate M Chitty, Sandro Sperandei, Gregory L Carter, Zein Ali, Jacques E Raubenheimer, Andrea L Schaffer, Andrew Page, Nicholas A Buckley

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

13 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Kate M ChittyDiscipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
Sandro SperandeiTranslational Health Research Institute, Western Sydney University, NSW, Australia.
Gregory L CarterCollege of Health, Medicine and Wellbeing, School of Medicine and Public Health, University of Newcastle, NSW, Australia.
Zein AliDiscipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
Jacques E RaubenheimerDiscipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
Andrea L SchafferBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Andrew PageTranslational Health Research Institute, Western Sydney University, NSW, Australia.
Nicholas A BuckleyDiscipline of Biomedical Informatics and Digital Health, Faculty of Medicine and Health, University of Sydney, NSW, Australia.
The University of Sydney · AUTranslational Research Institute · AUUniversity of Newcastle Australia · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Suicide prevention requires a shift from relying on an at-risk individual to engage with the healthcare system. Understanding patterns of healthcare engagement by people who have died by suicide may provide alternative directions for suicide prevention. Methods: This is a population-based case-series study of all suicide decedents (n = 3895) in New South Wales (NSW), Australia (2013-2019), with linked coronial, health services and medicine dispensing data. Healthcare trajectories were identified using a k-means longitudinal 3d analysis, based on the number and type of healthcare contacts in the year before death. Characteristics of each trajectory were described. Findings: Five trajectories of healthcare utilisation were identified: (A) none or low (n = 2598, 66.7%), (B) moderate, predominantly for physical health (n = 601, 15.4%), (C) moderate, with high mental health medicine use (n = 397, 10.2%), (D) high, predominantly for physical health (n = 206, 5.3%) and E) high, predominantly for mental health (n = 93, 2.4%). Given that most decedents belonged to Trajectory A this suggests a great need for suicide preventive interventions delivered in the community, workplace, schools or online. Trajectories B and D might benefit from opioid dispensing limits and access to psychological pain management. Trajectory C had high mental health medicine use, indicating that the time that medicines are prescribed or dispensed are important touchpoints. Trajectory E had high mental health service predominantly delivered by psychiatrists and community mental health, but limited psychologist use. Interpretation: Although most suicide decedents made at least one healthcare contact in the year before death, contact frequency was overall very low. Given the characteristics of this group, useful access points for such intervention could be delivered through schools and workplaces, with a focus on alcohol and drug intervention alongide suicide awareness. Funding: Australia's National Health and Medical Research Council.

Indexed as

Administrative dataData linkageEpidemiologyHealth service utilisationk-means longitudinalMedicinesMental healthRetrospectiveSuicides

Identifiers

PMID37649805
PMCPMC10462847
OpenAlexW4385993689

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.