Abstract
Background
Suicide screening scales have been advocated for use in the ED setting. However, it
is currently unknown whether patients classified as low-risk on these scales can be
safely discharged from the emergency department. This study evaluated the utility
of three commonly-used suicide screening tools in the emergency department to predict
ED disposition, with special interest in discharge among low-risk patients.
Methods
This prospective observational study enrolled a convenience sample of patients who
answered “yes” to a triage suicidal ideation question in an urban academic emergency
department. Patients were administered the weighted modified SADPERSONS Scale, Suicide
Assessment Five-step Evaluation and Triage, and Columbia-Suicide Severity Rating Scale.
Patients who subsequently received a psychiatric evaluation were included, and the
utility of these screening tools to predict disposition was evaluated.
Results
276 subjects completed all three suicide screening tools and were included in data
analyses. Eighty-two patients (30%) were admitted or transferred. Three patients (1%)
died by suicide within one year of enrollment; one was hospitalized at the end of
his or her enrollment visit, dying by suicide seven months later and the other two
were discharged, dying by suicide nine and ten months later, respectively. The screening
tools exhibited modest negative predictive values (range: 0.66–0.73).
Conclusion
Three suicide screening tools displayed modest ability to predict the disposition
of patients who presented to an emergency department with suicidal ideation. This
study supports the current ACEP clinical policy on psychiatric patients which states
that screening tools should not be used in isolation to guide disposition decisions
of suicidal patients from the ED.
Keywords
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References
- Predicting suicidal behaviours using clinical instruments: systematic review and meta-analysis of positive predictive values for risk scales.Br J Psychiatry. 2017; 210 (bjp. bp. 116.182717): 387-395
- Meta-analysis of longitudinal cohort studies of suicide risk assessment among psychiatric patients: heterogeneity in results and lack of improvement over time.PLoS One. 2016; 11e0156322
- Which are the most useful scales for predicting repeat self-harm? A systematic review evaluating risk scales using measures of diagnostic accuracy.BMJ Open. 2016; 6e009297
- A systematic review of psychometric assessment of self-harm risk in the emergency department.J Affect Disord. 2011; 134: 348-355
- Instruments for the assessment of suicide risk: a systematic review evaluating the certainty of the evidence.PLoS One. 2017; 12e0180292
- Health care usage and suicide risk screening within 1 year of suicide death.J Emerg Med. 2017; 53: 871-879
- Practical management of the suicidal patient in the emergency department.Emerg Med Rep. 2014; 35: 1-10
- Literature-based recommendations for suicide assessment in the emergency department: a review.J Emerg Med. 2012; 43: 836-842
- Suicide risk assessment and intervention in people with mental illness.BMJ. 2015; 351h4978
- Assessment of suicide potential by nonpsychiatrists using the SAD PERSONS score.J Emerg Med. 1988; 6: 99-107
- Deliberate self-harm patients in the emergency department: factors associated with repeated self-harm among 1524 patients.Emerg Med J. 2011; 28 (emj. 2010.102616): 1019-1025
- Suicide screening tools and their association with near-term adverse events in the ED.Am J Emerg Med. 2015; 33: 1680-1683
- Emergency department assessment of self-harm risk using psychometric questionnaires.Can J Psychiatr. 2012; 57: 21-28
- Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments.BMC Psychiatry. 2014; 14: 76
- Clinical policy: critical issues in the diagnosis and management of the adult psychiatric patient in the emergency department.Ann Emerg Med. 2017; 69: 480-498
- How to Design a Study That Everyone Will Believe: Retrospective Reviews. Doing Research in Emergency and Acute Care: Making Order Out of Chaos.2015: 85
- Chart review: a need for reappraisal.Eval Health Prof. 1997; 20: 146-163
- Screening for Mental Health: A Resource Guide for Implementing the Joint Commission 2007 Patient Safety Goals on Suicide.Screening for Mental Health, Wellesley Hills, MA2007
- Predictive value of baseline Electronic Columbia–Suicide Severity Rating Scale (eC–SSRS) assessments for identifying risk of prospective reports of suicidal behavior during research participation.Innov Clin Neurosci. 2014; 11: 23
- The Columbia–Suicide Severity Rating Scale: initial validity and internal consistency findings from three multisite studies with adolescents and adults.Am J Psychiatry. 2011; 168: 1266-1277
- Attendance at the accident and emergency department in the year before suicide: retrospective study.Br J Psychiatry. 2003; 183: 28-33
- Emergency department contact prior to suicide in mental health patients.Emerg Med J. 2011; 28 (emj. 2009.081869): 467-471
- Continuity of Care for Suicide Prevention and Research: Suicide Attempts and Suicide Deaths Subsequent to Discharge from an Emergency Department Or an Inpatient Psychiatry Unit.Suicide Prevention Resource Center, 2011
- Caring for Adult Patients With Suicide Risk: A Consensus-based Guide for Emergency Departments.Education Development Center, Inc., Suicide Resource Prevention Center, Waltham, MA2015
- Suicide prevention in an emergency department population: the ED-SAFE Study.JAMA Psychiat. 2017; 74: 563-570
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.Radiology. 1982; 143: 29-36
- pROC: an open-source package for R and S+ to analyze and compare ROC curves.BMC Bioinformatics. 2011; 12: 77
Article Info
Publication History
Published online: February 04, 2018
Accepted:
January 26,
2018
Received in revised form:
January 13,
2018
Received:
October 29,
2017
Identification
Copyright
© 2018 Elsevier Inc. All rights reserved.