2018
DOI: 10.1016/j.ajem.2018.01.087
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Suicide screening scales may not adequately predict disposition of suicidal patients from the emergency department

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Cited by 20 publications
(17 citation statements)
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“…Forty studies were further excluded because of identical or overlapping patient samples. A total of 115 studies reporting 167 samples were included in the meta‐analysis (SM 2, Table of Included Studies, and SM 3 Data used in meta‐analysis). The samples included 46 samples of females, 46 samples of males and 75 samples of both sexes.…”
Section: Resultsmentioning
confidence: 99%
“…Forty studies were further excluded because of identical or overlapping patient samples. A total of 115 studies reporting 167 samples were included in the meta‐analysis (SM 2, Table of Included Studies, and SM 3 Data used in meta‐analysis). The samples included 46 samples of females, 46 samples of males and 75 samples of both sexes.…”
Section: Resultsmentioning
confidence: 99%
“…30,31 It is suggested that risk-assessment tools and scales should not be used to predict future suicide or repeated self-harm, and they should not be the sole criterion to decide on treatment options. 32,33 However, the scales can be used as a part of a holistic clinical assessment. 34 The current evidence base is not robust enough to suggest any particular scale for routine clinical use to predict suicide.…”
Section: Discussionmentioning
confidence: 99%
“…Given that ACEP recommends the discharge of mild suicide risk patients, 24 The use of adjunct measures of suicide risk may also increase confidence and competency in these areas. However, given the number of available adjunct measures of suicide risk with low predictive validity and a limited number of measures suitable for use in the fast-paced ED setting, 24,[49][50][51][52] further research is needed, particularly in the use of machine learning to improve suicide risk prediction. 42,53 Future work in the ED setting should focus on incorporating valid and reliable predictive algorithms as an aid to existing clinical decisionmaking practices, while also aligning suicide risk decisions with appropriate and evidence-based clinical interventions to reduce patient suicide risk.…”
Section: Limitationsmentioning
confidence: 99%