Gillespie A, Stringer J, Berke O. Spatial patterns of Mental Health Act apprehensions in Toronto, Canada, 2014-2022.
CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024;
115:862-879. [PMID:
39060711 PMCID:
PMC11644130 DOI:
10.17269/s41997-024-00912-7]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 06/05/2024] [Indexed: 07/28/2024]
Abstract
OBJECTIVES
This research examines the temporal rates and spatial patterns of police-involved Mental Health Act (MHA) apprehensions in Toronto, Canada, from 2014 to 2022. Building from the work of Toronto Police Services (TPS), the goal of this research is to deepen our understanding of MHA apprehensions and provide insights which may be used to guide local mental health reform efforts.
METHODS
Using data collected by TPS, an exploratory, descriptive analysis of spatial patterns of MHA apprehension events between 2014 and 2022 at the neighbourhood level was conducted. To identify high-rate clusters, we used a discrete Poisson model in SaTScan, with a circular moving window. Primary and secondary clusters with a relative risk of 1.5 or greater are reported.
RESULTS
From 2014 to 2022, 93,932 MHA apprehensions occurred in Toronto. Apprehension rates were found to vary substantially between neighbourhoods, with approximately 91% of Toronto's 140 neighbourhoods experiencing a net positive increase in rates during the study period after adjusting for population growth. Repeated spatial cluster analysis for each year revealed a range of 4 to 7 clusters annually, with the downtown core consistently emerging as an area of elevated risk (RR range 1.58-1.99).
CONCLUSION
Rising MHA apprehensions within Toronto highlight the pressing need to confront the city's intensifying mental health needs. These findings offer valuable insights into the patterns and nature of police-involved MHA apprehensions, outline reproducible analysis methods that can be used by others, and support targeted evaluation, expansion, and implementation of downstream initiatives to improve mental health responses.
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