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Measuring the suicidal mind: The 'open source' Suicidality Scale, for adolescents and adults.
Harris, Keith M; Wang, Lu; Mu, Guanglun M; Lu, Yanxia; So, Cheryl; Zhang, Wei; Ma, Jing; Liu, Kefei; Wang, Wei; Zhang, Melvyn Wei-Bin; Ho, Roger C.
Affiliation
  • Harris KM; School of Psychology, Charles Sturt University, Bathurst, New South Wales, Australia.
  • Wang L; School of Psychology, University of Queensland, St Lucia, Queensland, Australia.
  • Mu GM; School of Environmental and Life Sciences, University of Newcastle, Callaghan, New South Wales, Australia.
  • Lu Y; Education Futures, University of South Australia, Adelaide, South Australia, Australia.
  • So C; Department of Medical Psychology and Ethics, School of Basic Medical Sciences, Shandong University, Jinan, Shandong, China.
  • Zhang W; Private Clinician, Hong Kong.
  • Ma J; School of Medicine and Health Management, Huazhong University of Science and Technology, Hubei, Wuhan, China.
  • Liu K; School of Politics and Public Administration, Zhengzhou University, Zhengzhou, Henan, China.
  • Wang W; Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America.
  • Zhang MW; Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway.
  • Ho RC; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, Singapore.
PLoS One ; 18(2): e0282009, 2023.
Article in En | MEDLINE | ID: mdl-36821531
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide / Mental Disorders Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Adolescent / Adult / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide / Mental Disorders Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Risk_factors_studies Limits: Adolescent / Adult / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Australia