Evidence map›Paper›PMID 36821531›Full record

ReviewPloS one2023

Measuring the suicidal mind: The 'open source' Suicidality Scale, for adolescents and adults.

Keith M Harris, Lu Wang, Guanglun M Mu, Yanxia Lu, Cheryl So, Wei Zhang, Jing Ma, Kefei Liu, Wei Wang, Melvyn Wei-Bin Zhang and 1 more

Abstract readReview
In one paragraph

Review in PloS one, 2023. 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. Review
  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

11 authors.

Keith M HarrisSchool of Psychology, Charles Sturt University, Bathurst, New South Wales, Australia.ORCID 0000-0002-1199-2856
Lu WangSchool of Environmental and Life Sciences, University of Newcastle, Callaghan, New South Wales, Australia.
Guanglun M MuEducation Futures, University of South Australia, Adelaide, South Australia, Australia.
Yanxia LuDepartment of Medical Psychology and Ethics, School of Basic Medical Sciences, Shandong University, Jinan, Shandong, China.ORCID 0000-0003-0878-7525
Cheryl SoPrivate Clinician, Hong Kong.
Wei ZhangSchool of Medicine and Health Management, Huazhong University of Science and Technology, Hubei, Wuhan, China.
Jing MaSchool of Politics and Public Administration, Zhengzhou University, Zhengzhou, Henan, China.
Kefei LiuYale School of Medicine, Yale University, New Haven, Connecticut, United States of America.
Wei WangDepartment of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-6822-8162
Melvyn Wei-Bin ZhangBiomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, Singapore.
Roger C HoDepartment of Psychological Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians are expected to provide accurate and useful mental health assessments, sometimes in emergency settings. The most urgent challenge may be in calculating suicide risk. Unfortunately, existing instruments often fail to meet requirements. To address this situation, we used a sustainable scale development approach to create a publicly available Suicidality Scale (SS). Following a critical review of current measures, community input, and panel discussions, an international item pool survey included 5,115 English-speaking participants aged 13-82 years. Revisions were tested with two follow-up cross-sectional surveys (Ns = 814 and 626). Pool items and SS versions were critically examined through item response theory, hierarchical cluster, factor and bifactor analyses, resulting in a unidimensional eight-item scale. Psychometric properties were high (loadings > .77; discrimination > 2.2; test-retest r = .87; internal consistency, ω = .96). Invariance checks were satisfied for age, gender, ethnicity, rural/urban residence, first language, self-reported psychiatric diagnosis and suicide attempt history. The SS showed stronger psychometric properties, and significant differences in bivariate associations with depressive symptoms, compared with included suicide measures. The 'open source' Suicidality Scale represents a significant step forward in accurate assessment for people aged 13+, and diverse populations. This study provides an example of sustainable scale development utilizing community input, emphasis on strong psychometric evidence from diverse samples, and a free-to-use license allowing instrument revisions. These methods can be used to develop a wide variety of psychosocial instruments that can benefit clinicians, researchers, and the public.

Indexed as

Mental DisordersSuicideAdolescentAdultCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSuicidal IdeationSuicide, AttemptedSurveys and Questionnaires

Identifiers

PMID36821531
PMCPMC9949661

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.