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Suicide risk assessment among psychiatric inpatients: a systematic review and meta-analysis of high-risk categories

Published online by Cambridge University Press:  06 September 2017

M. Large*
Affiliation:
School of Psychiatry, University of New South Wales, Randwick, Australia
N. Myles
Affiliation:
The Queen Elizabeth Hospital, Woodville South, Australia
H. Myles
Affiliation:
School of Psychiatry, Adelaide University, Adelaide, Australia
A. Corderoy
Affiliation:
University of Notre Dame Australia, School of Medicine, Sydney, Australia
M. Weiser
Affiliation:
Department of Psychiatry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
M. Davidson
Affiliation:
University of Nicosia Medical School, Nicosia, Cyprus
C. J. Ryan
Affiliation:
Discipline of Psychiatry and Sydney Health Ethics, University of Sydney, Sydney, Australia
*
Author for correspondence: Dr M. Large, E-mail: [email protected]

Abstract

Background

The clinical care of psychiatric patients is often guided by perceptions of suicide risk. The aim of this study was to examine the methods and results of studies reporting high-risk models for inpatient suicide.

Methods

We conducted a registered meta-analysis according to PRISMA guidelines. We searched for relevant peer-reviewed cohort and controlled studies indexed in Medline, EMBASE and PsychINFO.

Results

The pooled odds ratio (OR) among 18 studies reporting high-risk models for inpatient suicide was 7.1 [95% confidence interval (CI) 4.2–12.2]. Between-study heterogeneity in ORs was very high (range 0–94.8, first quartile 3.4, median 8.8, third quartile 26.1, prediction interval 0.80–63.1, I2 = 88.1%). The meta-analytically derived sensitivity was 53.1% (95% CI 38.2–67.5%, I2 = 95.9%) and specificity was 84.2% (95% CI 71.6–91.9%, I2 = 99.9%) with an associated meta-analytic area under the curve of 0.83. The positive predictive value of risk categorization among six cohort studies was 0.43% (95% CI 0.014–1.3%, I2 = 95.9%). A history of suicidal behavior and depressive symptoms or affective disorder was included in the majority of high-risk models.

Conclusions

Despite the strength of the pooled association between high-risk categorization and suicide, the very high degree of observed heterogeneity indicates uncertainty about our ability to meaningfully distinguish inpatients according to suicide risk. The limited sensitivity and low positive predictive value of risk categorization suggest that suicide risk models are not a suitable basis for clinical decisions in inpatient settings.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

Bowers, L, Banda, T and Nijman, H (2010) Suicide inside: a systematic review of inpatient suicides. Journal of Nervous and Mental Disease 198, 315328.Google Scholar
Buchanan, A (2008) Risk of violence by psychiatric patients: beyond the ‘actuarial versus clinical’ assessment debate. Psychiatric Services 59, 184190.CrossRefGoogle ScholarPubMed
Cassells, C, Paterson, B, Dowding, D and Morrison, R (2005) Long- and short-term risk factors in the prediction of inpatient suicide: review of the literature. Crisis 26, 5363.CrossRefGoogle ScholarPubMed
Chan, MK, Bhatti, H, Meader, N, Stockton, S, Evans, J, O'Connor, RC et al. (2016) Predicting suicide following self-harm: systematic review of risk factors and risk scales. British Journal of Psychiatry 209, 277283.CrossRefGoogle ScholarPubMed
Chang, BP, Franklin, JC, Ribeiro, JD, Fox, KR, Bentley, KH, Kleiman, EM et al. (2016) Biological risk factors for suicidal behaviors: a meta-analysis. Translational Psychiatry 6, e887.CrossRefGoogle ScholarPubMed
Cohen, J (1986) Statistical approaches to suicidal risk factor analysis. Annals of the New York Academy of Science 487, 3441.Google Scholar
De Leo, D and Sveticic, J (2010) Suicides in psychiatric in-patients: what are we doing wrong? Epidemiologia e Psichiatria Sociale 19, 815.CrossRefGoogle ScholarPubMed
Dolan, M and Doyle, M (2000) Violence risk prediction. Clinical and actuarial measures and the role of the psychopathy checklist. British Journal of Psychiatry 177, 303311.Google Scholar
Dong, JY, Ho, TP and Kan, CK (2005) A case-control study of 92 cases of in-patient suicides. Journal of Affect Disorders 87, 9199.Google Scholar
Duval, S and Tweedie, R (2000) Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455463.Google Scholar
Egger, M, Davey Smith, G, Schneider, M and Minder, C (1997) Bias in meta-analysis detected by a simple, graphical test. British Medical Journal 315, 629634.Google Scholar
Hunt, IM, Bickley, H, Windfuhr, K, Shaw, J, Appleby, L and Kapur, N (2013) Suicide in recently admitted psychiatric in-patients: a case-control study. Journal of Affective Disorders 144, 123128.CrossRefGoogle ScholarPubMed
Hunt, IM, Kapur, N, Webb, R, Robinson, J, Burns, J, Turnbull, P et al. (2007) Suicide in current psychiatric in-patients: a case-control study. The National Confidential Inquiry into Suicide and Homicide. Psychological Medicine 37, 831837.Google Scholar
International Initiative for Mental Health Leadership (2016) Zero Suicide: An International Declaration for Better Healthcare (https://riinternational.com/wp-content/uploads/2016/03/zerosuicidedeclaration_2015draft.pdf). (Accessed 22 July 2017).Google Scholar
Joint Commission into Patient Safety (2015) National Patient Safety Goals (http://www.jointcommission.org/assets/1/6/2015_NPSG_HAP.pdf). (Accessed 22 July 2017).Google Scholar
Kessler, RC, Warner, CH, Ivany, C, Petukhova, MV, Rose, S, Bromet, EJ et al. (2015) Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study to Assess Risk and Resilience in Service members (Army STARRS). JAMA Psychiatry 72, 4957.Google Scholar
King, EA, Baldwin, DS, Sinclair, JM and Campbell, MJ (2001) The Wessex Recent In-Patient Suicide Study, 2. Case-control study of 59 in-patient suicides. British Journal of Psychiatry 178, 537542.Google Scholar
Krupinski, M, Fischer, A, Grohmann, R, Engel, R, Hollweg, M and Moller, HJ (1998) Risk factors for suicides of inpatients with depressive psychoses. European Archives of Psychiatry Clinical Neuroscience 248, 141147.Google Scholar
Krupinski, M, Fischer, A, Grohmann, R, Engel, RR, Hollweg, M and Moller, HJ (2000) Schizophrenic psychoses and suicide in the clinic. Risk factors, psychopharmacologic treatment. Der Nervenarzt 71, 906911.Google Scholar
Large, M, Kaneson, M, Myles, N, Myles, H, Gunaratne, P and Ryan, C (2016) Meta-analysis of longitudinal cohort studies of suicide risk assessment among psychiatric patients: heterogeneity in results and lack of improvement over time. PLoS ONE 11, e0156322.Google Scholar
Large, M and Ryan, CJ (2012) Screening for suicide: a comment on Steeg. Psychological Medicine 42, 20112012.CrossRefGoogle ScholarPubMed
Large, M, Smith, G, Sharma, S, Nielssen, O and Singh, SP (2011) Systematic review and meta-analysis of the clinical factors associated with the suicide of psychiatric in-patients. Acta Psychiatrica Scandinavica 124, 1829.Google Scholar
Large, MM and Ryan, CJ (2014) Disturbing findings about the risk of suicide and psychiatric hospitals. Social Psychiatry and Psychiatric Epidemiology 49, 13531355.Google Scholar
Levi, L, Werbeloff, N, Pugachova, I, Yoffe, R, Large, M, Davidson, M et al. (2016) Has deinstitutionalization affected inpatient suicide? Psychiatric inpatient suicide rates between 1990 and 2013 in Israel. Schizophrenia Research 173, 7578.CrossRefGoogle ScholarPubMed
Lieb, M, Palm, U, Meyer, S, Sarubin, N, Mokhtari-Nejad, R, Riedel, M et al. (2014) Risk factors for inpatient suicide. Psychiatriche Praxis 41, 195199.Google Scholar
Lin, SK, Hung, TM, Liao, YT, Lee, WC, Tsai, SY, Chen, CC et al. (2014) Protective and risk factors for inpatient suicides: a nested case-control study. Psychiatry Research 217, 5459.Google Scholar
Madsen, T, Agerbo, E, Mortensen, PB and Nordentoft, M (2012) Predictors of psychiatric inpatient suicide: a national prospective register-based study. Journal of Clinical Psychiatry 73, 144151.Google Scholar
Madsen, T, Erlangsen, A and Nordentoft, M (2017) Risk estimates and risk factors related to psychiatric inpatient suicide – an overview. International Journal of Environmental Research and Public Health 14, E253.Google Scholar
Madsen, T and Nordentoft, M (2012) Risk factors for inpatient suicide do not translate into meaningful risk categories – all psychiatric inpatients are high-risk, author reply 1034–5. Journal of Clinical Psychiatry 73, 10341035.Google Scholar
Modestin, J and Kopp, W (1988 a). A study of clinical suicide. Journal of Nervous and Mental Disease 176, 668674.Google Scholar
Modestin, J and Kopp, W (1988 b). Study on suicide in depressed inpatients. Journal of Affective Disorders 15, 157162.CrossRefGoogle Scholar
Modestin, J, Zarro, I and Waldvogel, D (1992) A study of suicide in schizophrenic in-patients. British Journal of Psychiatry 160, 398401.Google Scholar
Moher, D, Liberati, A, Tetzlaff, J and Altman, DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Journal of Clinical Epidemiology 62, 10061012.Google Scholar
Neuner, T, Schmid, R, Wolfersdorf, M and Spiessl, H (2008) Predicting inpatient suicides and suicide attempts by using clinical routine data? General Hospital Psychiatry 30, 324330.Google Scholar
Powell, J, Geddes, J, Deeks, J, Goldacre, M and Hawton, K (2000) Suicide in psychiatric hospital in-patients. Risk factors and their predictive power. British Journal of Psychiatry 176, 266272.Google Scholar
Rosenthal, J (1996) Qualitative descriptors of strength of association and effect size. Journal of Social Service Research 21, 3757.Google Scholar
Simon, RI (2011) Preventing Patient Suicide. Clinical Assessment and Management. Washington, DC: American Psychiatric Association.Google Scholar
Sokolov, G, Hilty, DM, Leamon, M and Hales, RE (2006) Inpatient treatment and partial hospitalization. In Simon, R. I. Hales, R. E. (eds). The American Psychiatric Publishing Textbook of Suicide Assessment and Management, Washington: American Psychiatric Association, pp. 401422.Google Scholar
Spiessl, H, Hubner-Liebermann, B and Cording, C (2002) Suicidal behaviour of psychiatric in-patients. Acta Psychiatrica Scandinavica 106, 134138.Google Scholar
Steblaj, A, Tavcar, R and Dernovsek, MZ (1999) Predictors of suicide in psychiatric hospital. Acta Psychiatrica Scandinavica 100, 383388.Google Scholar
Stroup, DF, Berlin, JA, Morton, SC, Olkin, I, Williamson, GD, Rennie, D et al. (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283, 20082012.Google Scholar
Sullivan, AM, Barron, CT, Bezmen, J, Rivera, J and Zapata-Vega, M (2005) The safe treatment of the suicidal patient in an adult inpatient setting: a proactive preventive approach. Psychiatric Quarterly 76, 6783.Google Scholar
Szmukler, G, Everitt, B and Leese, M (2012) Risk assessment and receiver operating characteristic curves. Psychological Medicine 42, 895898.Google Scholar
Vine, R (2009) Inpatient Leave of Absence. Chief Psychiatrist's Guideline (ed. D. o. Health). Melbourne: Victorian Government Department of Health.Google Scholar
Walsh, G, Sara, G, Ryan, CJ and Large, M (2015) Meta-analysis of suicide rates among psychiatric in-patients. Acta Psychiatrica Scandinavica 131, 174184.CrossRefGoogle ScholarPubMed
Wells, GA, Shea, B, O'Connnell, D, Peterson, L, Welsh, V, Losos, M et al. (2013) The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses (http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp). (Accessed 1 January 2017).Google Scholar
Worchel, D and Gearing, RE (2010) Suicide Assessment and Treatment. Empirical and Evidence-Based Practices. New York: Springer.Google Scholar
Zamora, J, Abraira, V, Muriel, A, Khan, K and Coomarasamy, A (2006) Meta-DiSc: a software for meta-analysis of test accuracy data. BMC Medical Research Methodology 6, 31.Google Scholar
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