Literature DB >> 29665120

Determinants and Predictive Value of Clinician Assessment of Short-Term Suicide Risk.

Shira Barzilay1,2, Zimri S Yaseen1,2, Mariah Hawes1, Irina Kopeykina1, Firouz Ardalan1, Paul Rosenfield3, James Murrough2, Igor Galynker1,2.   

Abstract

We examine the interrelations among clinicians' judgment of patients' suicide risk, clinicians' emotional responses, and standard risk factors in the short-term prediction of suicidal thoughts and behaviors. Psychiatric outpatients (n = 153) with a lifetime history of suicide ideation/attempt and their treating clinicians (n = 67) were evaluated at intake. Clinicians completed a standard suicide risk instrument (modified SAD PERSONS scale), a 10-point Likert scale assessment of judgment of patient suicide risk (Clinician Prediction Scale), and a measure of their emotional responses to the patient (Therapist Response Questionnaire-Suicide Form). The Columbia Suicide Severity Rating Scale and the Beck Scale for Suicide Ideation were administered at a one-month follow-up assessment (n = 114, 74.5%). Clinician judgment of risk significantly predicted suicidal thoughts and behaviors at follow-up. Both the standard suicide risk instrument and clinician emotional responses contributed independently to the clinician assessment of risk, which, in turn, mediated their relationships with suicidal thoughts and behaviors. Our findings validate the importance of clinical judgment in assessing suicide risk. Clinical judgment appears to be informed both by concrete risk factors and clinicians' emotional responses to suicidal patients, highlighting emotional awareness as a promising area for research and training.
© 2018 The American Association of Suicidology.

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Mesh:

Year:  2018        PMID: 29665120     DOI: 10.1111/sltb.12462

Source DB:  PubMed          Journal:  Suicide Life Threat Behav        ISSN: 0363-0234


  3 in total

1.  Behind therapists' emotional responses to suicidal patients: A study of the narrative crisis model of suicide and clinicians' emotions.

Authors:  Gelan Ying; Lakshmi Chennapragada; Erica D Musser; Igor Galynker
Journal:  Suicide Life Threat Behav       Date:  2021-01-23

2.  Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers.

Authors:  Emily E Haroz; Fiona Grubin; Novalene Goklish; Shardai Pioche; Mary Cwik; Allison Barlow; Emma Waugh; Jason Usher; Matthew C Lenert; Colin G Walsh
Journal:  JMIR Public Health Surveill       Date:  2021-09-02

3.  Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study.

Authors:  Ravi Iyer; Maja Nedeljkovic; Denny Meyer
Journal:  JMIR Ment Health       Date:  2022-08-15
  3 in total

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