Literature DB >> 27771563

The Modular Assessment of Risk for Imminent Suicide (MARIS): A proof of concept for a multi-informant tool for evaluation of short-term suicide risk.

Mariah Hawes1, Zimri Yaseen1, Jessica Briggs1, Igor Galynker2.   

Abstract

BACKGROUND: To date, no diagnostic tool has demonstrated clinical value for the assessment of short-term suicide risk among high-risk individuals. To this end we have developed the Modular Assessment of Risk for Imminent Suicide (MARIS), a modular patient and clinician informed risk evaluation instrument. Here we assess its predictive validity for suicidal behavior (SB) in psychiatric patients following discharge from an inpatient unit.
METHODS: The MARIS and a psychological test battery were administered to 136 adult psychiatric patients hospitalized for high risk of suicide. Eighty-six participants had complete data at discharge and 59 (69.8%) were reached for follow-up. Logistic regressions were used to assess the predictive validity of the MARIS for SB over the 4-8weeks following hospital discharge and its incremental predictive validity over standard risk factors.
RESULTS: Patients who exhibited SB in the period between initial assessment and follow-up had significantly higher MARIS scores. ROC analysis indicated good sensitivity and specificity of MARIS in identifying risk (OR=19). Further, MARIS total score significantly improved predictive validity by the standard risk factors when added to a model comprising global depression severity, hopelessness, and lifetime number of suicide attempts, and was the only factor that approached independent significance.
CONCLUSION: The MARIS appears to be a practical and effective tool for detecting short-term suicide risk following hospital discharge, supporting the validity of modular multi-informant approach to suicide risk evaluation. Replication of these findings and further investigation of the applications of such an approach are warranted. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27771563     DOI: 10.1016/j.comppsych.2016.10.002

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


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