Evidence map›Paper›PMID 37215657›Full record

ArticleFrontiers in psychiatry2023

The five self-harm behavior groupings measure: empirical and thematic data from a novel comprehensive self-harm assessment.

Sophie I Liljedahl, Daiva Daukantaitė, Nikolaus Kleindienst, Margit Wångby-Lundh, Sofie Westling

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 8 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

5 authors at 3 institutions in 2 countries.

Sophie I LiljedahlDepartment of Psychiatry for Affective Disorders, National Specialized Medical Care Unit for Severe Self-Harm Behaviour, Sahlgrenska University Hospital, Gothenburg, Sweden.
Daiva DaukantaitėDepartment of Psychology, Lund University, Lund, Sweden.
Nikolaus KleindienstCentral Institute of Mental Health, Department of Psychosomatic Medicine and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Margit Wångby-LundhDepartment of Psychology, Lund University, Lund, Sweden.
Sofie WestlingOffice for Psychiatry and Habilitation, Psychiatric Clinic Lund, Lund, Sweden.
Lund University · SECentral Institute of Mental Health · DESahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Five Self-Harm Behavior Groupings Measure (5S-HM) is a novel assessment that evaluates behaviours which may go undetected by existing measures. Self-harm is formulated across directness and lethality spectra, including under-studied behaviors such as indirect self-harm, harmful self-neglect and sexual self-harm. Aims of the study were to: (1) empirically evaluate the 5S-HM; (2) to determine whether the 5S-HM generates relevant new information with respect to the forms and functions given by participants for self-harm within a clinical sample; (3) to test the utility and novel contributions of the Unified Model of Self-Harm and the 5S-HM by extension. Methods: Data were collected from Results: Test-retest reliability on a subsample of Discussion: The empirical analyses of the 5S-HM demonstrate that it is a robust measure for use in clinical and research settings. Thematic analyses proposed explanations for why self-harm behaviors are initiated and how they are reinforced over time. Sexual self-harm in particular requires further careful study.

Indexed as

5S-HMharmful self-neglectindirect self-harmself-harmsexual self-harmunified theoretical model of self-harm

Identifiers

PMID37215657
PMCPMC10196393
OpenAlexW4377565619

What OpenQuestion holds

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LicenceCC BY
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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.