Evidence map›Paper›PMID 39638294›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2025

Use of Data Linkage Methods to Investigate Healthcare Interactions in Individuals Who Self-harm and Die by Suicide: A Scoping Review.

Ferdi W Djajadisastra

Abstract readScoping Review
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Ferdi W DjajadisastraNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this review, the primary objective was to comprehensively summarize and evaluate the themes and analytical strategies of studies that used data linkage methods to examine the healthcare engagement of individuals with self-harming and suicidal tendencies. Additionally, the review sought to identify gaps in the existing literature and suggest directions for future research in this area.

methodsThis review utilized the PubMed, PsycINFO, and Scopus databases. Employing a scoping review methodology, 27 papers were analyzed.

resultsOne particularly common data source is the routine information collected by government agencies. However, some studies supplement this data with newly collected information. Compared to other research methods, data linkage offers the advantage of incorporating participants from diverse backgrounds into the analysis. Most relevant studies using data linkage methods have primarily focused on identifying socio-demographic correlates of self-harm, suicide deaths, and healthcare interactions. Additionally, some studies have used cluster analysis to identify patterns of healthcare utilization within affected populations. Certain papers have employed unique methods to measure self-harm and healthcare interactions, while one study utilized a moderator analytical approach.

conclusionsData linkage offers a promising approach for researching the dynamics between self-harm, suicide, and healthcare contact. A notable challenge, however, is the focus of most studies on the associations between socio-demographic factors and the risks of self-harm and suicide.

Indexed as

Information Storage and RetrievalSelf-Injurious BehaviorSuicideHumansMedical record linkageResearch designSelf-injurySuicide

Identifiers

PMID39638294
PMCPMC11986592

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LicenceCC BY-NC
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Registered trials

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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.