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Abstract

Objective:

The assessment and management of inpatient risk for violence in acute psychiatric care are challenges that introduce the potential for bias. This study aimed to examine inequities based on social determinants of health (SDoH) (e.g., race-ethnicity, gender, or mode of admission to acute care) that may lead to unfair assessment of psychiatric patients.

Methods:

The authors analyzed electronic health records of 7,424 acute care patients across 12,650 stays (2016–2022) at a large Canadian psychiatric hospital. Risk ratios (RRs) were calculated by SDoH for staff assessments of high risk (perceived risk), for violent incidents (actual risk), and for potentially biased risk assessment (particularly when a patient was assessed as high risk but did not become violent).

Results:

In univariate analyses, patients assessed as high risk who did not become violent were more likely to be male than female and to be Black, Indigenous, or Middle Eastern than White. When RRs were mutually adjusted for all variables, the associations for gender and race-ethnicity were attenuated or were no longer statistically significant. Associations with potentially biased risks that remained significant included most psychiatric diagnoses (vs. a depressive or anxiety disorder), supportive or unstable housing (vs. owning a home), and admission by police (vs. self-admission; RR=2.14, 95% CI=1.92–2.40).

Conclusions:

Systemic factors, such as admission by police and housing status, and having severe mental illness were the primary drivers of observed inequities in risk assessments of patients from racial-ethnic minority groups. Addressing these systemic factors might be key to improving acute psychiatric care.

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Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services
Psychiatric Services

History

Received: 5 March 2024
Revision received: 22 October 2024
Accepted: 24 October 2024
Published online: 19 December 2024

Keywords

  1. psychiatry/general
  2. racial-ethnic disparities
  3. staff training/violence
  4. community mental health services

Authors

Details

Christoffer Dharma, M.Sc. https://orcid.org/0000-0002-5223-5755
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Susan J. Bondy, Ph.D.
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Laura Sikstrom, Ph.D.
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Peter S. Muirhead, M.A.
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Juveria Zaheer, M.D., M.Sc.
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Marta M. Maslej, Ph.D. [email protected]
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.

Notes

Send correspondence to Dr. Maslej ([email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

The pilot work for this study was supported by a Dalla Lana School of Public Health Interdisciplinary Data Science Seed Grant; the remaining work was funded in part by the Social Sciences and Humanities Research Council Insight Development Grant (430-2021-01166 to Dr. Sikstrom) and a Google Award for Inclusion Research (to Dr. Sikstrom). Additional funding was provided by the Krembil Foundation (to Drs. Sikstrom and Maslej) and the Vanier Canada Graduate Scholarship (to Mr. Dharma).

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