Clinical rating scales in suicide risk assessment. 2000

K A Cochrane-Brink, and J S Lofchy, and I Sakinofsky
Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.

This study explores the usefulness of clinical rating scales in the assessment of suicidal risk in an urban psychiatric teaching hospital. Admission for clinically evaluated suicide risk was the outcome variable because actual suicide occurs rarely. Six clinical scales identified high-risk patients: the Modified SAD PERSONS scale, revised Beck Depression Inventory, Beck Anxiety Inventory, Beck Hopelessness Scale, Beck Scale for Suicidal Ideation (BSS), and the High-Risk Construct Scale (NEW). It was hypothesized that patients who scored highly on the clinical scales were more likely to be admitted. Five of the scales had previously established psychometric properties, while one was new and untested. For our patient population, the established scales had 100% sensitivity and negative predictive value, but lower specificity and positive predictive value (range = 38-90% & 28-71%). We performed a correlation matrix and regression analysis to determine which scale(s) best predicted admission based upon suicidal concerns. The previously untested NEW scale was the best predictor followed by the BSS. Clinical rating scales cannot predict suicide in the individual and strict cut-off scores should not be used to dictate admission to hospital. However, the information provided can be a valuable adjunct to suicide risk assessment in psychiatric and non-psychiatric emergency settings

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011569 Psychiatric Status Rating Scales Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness. Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
D011594 Psychometrics Assessment of psychological variables by the application of mathematical procedures. Psychometric
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D006778 Hospitals, Psychiatric Special hospitals which provide care to the mentally ill patient. Mental Hospitals,Hospitals, Mental,Mental Institutions,Psychiatric Hospitals,Hospital, Mental,Hospital, Psychiatric,Institution, Mental,Institutions, Mental,Mental Hospital,Mental Institution,Psychiatric Hospital
D006784 Hospitals, Teaching Hospitals engaged in educational and research programs, as well as providing medical care to the patients. Hospital, Teaching,Teaching Hospital,Teaching Hospitals
D006786 Hospitals, Urban Hospitals located in metropolitan areas. City Hospitals,Hospitals, City,Hospitals, City, Non-Public-Owned,Hospitals, Metropolitan,Urban Hospitals,City Hospitals, Non-Public-Owned,Metropolitan Hospitals,Non-Public-Owned City Hospitals,City Hospital,City Hospital, Non-Public-Owned,City Hospitals, Non Public Owned,Hospital, City,Hospital, Metropolitan,Hospital, Non-Public-Owned City,Hospital, Urban,Hospitals, Non-Public-Owned City,Metropolitan Hospital,Non Public Owned City Hospitals,Non-Public-Owned City Hospital,Urban Hospital
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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