Using Long Term Risk Factors from the Ontario Mental Health Reporting System (OMHRS) dataset to predict suicide admission and suicide severity among acute psychiatric inpatients in Ontario, Canada
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Date
2021-05-04
Authors
Garner, Ashley
Journal Title
Journal ISSN
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Publisher
University of Waterloo
Abstract
The main purpose of this study was to investigate the relationships between multidimensional long term suicide risk factors (LTRF) and short-term suicide related outcomes known as early warning signs (EWS) among a cross-section of psychiatric inpatients in Ontario between 2005 and 2019. This study conducted a secondary data analysis with statistical methodology using the Ontario Mental Health Reporting System (OMHRS) dataset. This study found a diverse range of LTRF from multiple domains related to a person’s health and wellbeing to be predictive of EWS. These findings indicate that suicide is a complex phenomenon with multiple interrelated contributing factors, and therefore the whole person should be treated with a multi-disciplinary approach to ameliorate suicide potential, rather than focusing on individual or a particular group of LTRFs.
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Keywords
suicide, suicide admission, risk factors, psychiatric inpatient, interRAI, cross sectional