Literature DB >> 33346922

Suicidal ideation is insensitive to suicide risk after emergency department discharge: Performance characteristics of the Columbia-Suicide Severity Rating Scale Screener.

Scott A Simpson1, Christian Goans2, Ryan Loh1, Karen Ryall1, Molly C A Middleton3, Alicia Dalton1.   

Abstract

OBJECTIVES: We describe the Columbia-Suicide Severity Rating Scale (C-SSRS)-Clinical Practice Screener's ability to predict suicide and emergency department (ED) visits for self-harm in the year following an ED encounter.
METHODS: Screening data from adult patients' first ED encounter during a 27-month study period were analyzed. Patients were excluded if they died during the encounter or left without being identified. The outcomes were suicide as reported by the state health department and a recurrent ED visit for suicide attempt or self-harm reported by the state hospital association. Multivariable regression examined the screener's correlation with these outcomes.
RESULTS: Among 92,643 patients analyzed, eleven (0.01%) patients died by suicide within a month after ED visit. The screener's sensitivity and specificity for suicide by 30 days were 0.18 (95% confidence interval [CI] = 0.00 to 0.41) and 0.99 (95% CI = 0.99 to 0.99). Sensitivity and specificity were better for predicting self-harm by 30 days: 0.53 (95% CI = 0.42 to 0.64) and 0.97 (95% CI = 0.97 to 0.97), respectively. Multivariable regression demonstrated that screening risk remained associated with both suicide and self-harm outcomes in the presence of covariates. Suicide risk was not mitigated by hospitalization or psychiatric intervention in the ED.
CONCLUSIONS: The C-SSRS screener is insensitive to suicide risk after ED discharge. Most patients who died by suicide screened negative and did not receive psychiatric services in the ED. Moreover, most patients with suicidal ideation died by causes other than suicide. The screener was more sensitive for predicting nonfatal self-harm and may inform a comprehensive risk assessment. These results compel us to reimagine the provision of emergency psychiatric services.
© 2020 by the Society for Academic Emergency Medicine.

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Year:  2021        PMID: 33346922     DOI: 10.1111/acem.14198

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  3 in total

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Journal:  Gen Hosp Psychiatry       Date:  2022-02-18       Impact factor: 3.238

2.  Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department.

Authors:  Joshua Cohen; Jennifer Wright-Berryman; Lesley Rohlfs; Douglas Trocinski; LaMonica Daniel; Thomas W Klatt
Journal:  Front Digit Health       Date:  2022-02-02

3.  Observing time effect of SSRIs on suicide risk and suicide-related behaviour: a network meta-analysis protocol.

Authors:  Qing-Hua Chen; Yu-Ling Li; Yi-Ru Hu; Wan-Yuan Liang; Bin Zhang
Journal:  BMJ Open       Date:  2021-12-07       Impact factor: 2.692

  3 in total

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