Atif Ijaz1, Alexia Papaconstantinou1, Helen O'Neill2, Harry G Kennedy3. 1. Central Mental Hospital,Dundrum,Dublin 14,Ireland. 2. Central Mental Hospital,Dundrum. Dublin 14,Ireland. 3. Clinical Professor of Forensic Psychiatry (University of Dublin, Trinity College, Dublin, Ireland) and Central Mental Hospital,Dundrum,Dublin 14,Ireland.
Abstract
OBJECTIVE: There are validated tools for structured professional judgement of risk of violence, but few for risk of suicide. The Suicide Risk Assessment and Management Manual (S-RAMM) is a new structured professional judgement tool closely modelled on the HCR-20. This is the first validation study for the S-RAMM. We measured inter-rater reliability, internal consistency, concurrent validity with another validated risk instrument (HCR-20) and with a measure of psychopathology (PANSS). We tested whether the tool could distinguish between groups of patients clinically assessed as at varying levels of risk of suicide or self harm. METHOD: Two researchers jointly interviewed 25 current in-patients for inter-rater reliability (Cohen's kappa) and internal consistency (Cronbach's alpha) and interviewed 81 of 83 current in-patients to assess whether the mean scores for different wards were significantly different (using ANOVA). Two other researchers made independent ratings of the HCR-20 and PANSS. RESULTS: Inter-rater reliability was acceptable for all items (Cohen's kappa >0.5 for all but three items) and all sub-scale and total scores (Spearman correlations all >0.8). Internal consistency was high, (Cronbach's alpha all sub-scales >0.6). Scores stratified significantly with high scores for admission and intensive care units and progressively lower scores in rehabilitation and predischarge units. The HCR-20 historical and S-RAMM background scores did not correlate but the dynamic sub-scales correlated significantly. PANSS scores also correlated significantly with S-RAMM scores. CONCLUSION: The S-RAMM has better than minimum acceptable characteristics for use as a clinical or research tool. Prospective studies of sensitivity and specificity are now required.
OBJECTIVE: There are validated tools for structured professional judgement of risk of violence, but few for risk of suicide. The Suicide Risk Assessment and Management Manual (S-RAMM) is a new structured professional judgement tool closely modelled on the HCR-20. This is the first validation study for the S-RAMM. We measured inter-rater reliability, internal consistency, concurrent validity with another validated risk instrument (HCR-20) and with a measure of psychopathology (PANSS). We tested whether the tool could distinguish between groups of patients clinically assessed as at varying levels of risk of suicide or self harm. METHOD: Two researchers jointly interviewed 25 current in-patients for inter-rater reliability (Cohen's kappa) and internal consistency (Cronbach's alpha) and interviewed 81 of 83 current in-patients to assess whether the mean scores for different wards were significantly different (using ANOVA). Two other researchers made independent ratings of the HCR-20 and PANSS. RESULTS: Inter-rater reliability was acceptable for all items (Cohen's kappa >0.5 for all but three items) and all sub-scale and total scores (Spearman correlations all >0.8). Internal consistency was high, (Cronbach's alpha all sub-scales >0.6). Scores stratified significantly with high scores for admission and intensive care units and progressively lower scores in rehabilitation and predischarge units. The HCR-20 historical and S-RAMM background scores did not correlate but the dynamic sub-scales correlated significantly. PANSS scores also correlated significantly with S-RAMM scores. CONCLUSION: The S-RAMM has better than minimum acceptable characteristics for use as a clinical or research tool. Prospective studies of sensitivity and specificity are now required.
Authors: Mary Davoren; Sarah O'Dwyer; Zareena Abidin; Leena Naughton; Olivia Gibbons; Elaine Doyle; Kim McDonnell; Stephen Monks; Harry G Kennedy Journal: BMC Psychiatry Date: 2012-07-13 Impact factor: 3.630
Authors: Nicola S Gray; Ann John; Aimee McKinnon; Stephanie Raybould; James Knowles; Robert J Snowden Journal: Front Psychiatry Date: 2021-05-17 Impact factor: 4.157