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Anawati A, Fleming H, Mertz M, Bertrand J, Dumond J, Myles S, Leblanc J, Ross B, Lamoureux D, Patel D, Carrier R, Cameron E. Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review. PLOS DIGITAL HEALTH 2024; 3:e0000597. [PMID: 39264934 PMCID: PMC11392241 DOI: 10.1371/journal.pdig.0000597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/14/2024]
Abstract
BACKGROUND Situated within a larger project entitled "Exploring the Need for a Uniquely Different Approach in Northern Ontario: A Study of Socially Accountable Artificial Intelligence," this rapid review provides a broad look into how social accountability as an equity-oriented health policy strategy is guiding artificial intelligence (AI) across the Canadian health care landscape, particularly for marginalized regions and populations. This review synthesizes existing literature to answer the question: How is AI present and impacted by social accountability across the health care landscape in Canada? METHODOLOGY A multidisciplinary expert panel with experience in diverse health care roles and computer sciences was assembled from multiple institutions in Northern Ontario to guide the study design and research team. A search strategy was developed that broadly reflected the concepts of social accountability, AI and health care in Canada. EMBASE and Medline databases were searched for articles, which were reviewed for inclusion by 2 independent reviewers. Search results, a description of the studies, and a thematic analysis of the included studies were reported as the primary outcome. PRINCIPAL FINDINGS The search strategy yielded 679 articles of which 36 relevant studies were included. There were no studies identified that were guided by a comprehensive, equity-oriented social accountability strategy. Three major themes emerged from the thematic analysis: (1) designing equity into AI; (2) policies and regulations for AI; and (3) the inclusion of community voices in the implementation of AI in health care. Across the 3 main themes, equity, marginalized populations, and the need for community and partner engagement were frequently referenced, which are key concepts of a social accountability strategy. CONCLUSION The findings suggest that unless there is a course correction, AI in the Canadian health care landscape will worsen the digital divide and health inequity. Social accountability as an equity-oriented strategy for AI could catalyze many of the changes required to prevent a worsening of the digital divide caused by the AI revolution in health care in Canada and should raise concerns for other global contexts.
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Affiliation(s)
- Alex Anawati
- Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada
- Clinical Sciences Division, NOSM University, Sudbury/Thunder Bay, Ontario, Canada
- Health Sciences North, Sudbury, Ontario, Canada
| | - Holly Fleming
- Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada
| | - Megan Mertz
- Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada
| | - Jillian Bertrand
- NOSM University, UME Learner, Sudbury/Thunder Bay, Ontario, Canada
| | - Jennifer Dumond
- Health Sciences Library, NOSM University, Sudbury/Thunder Bay, Ontario, Canada
| | - Sophia Myles
- School of Sociological and Anthropological Studies, University of Ottawa, Ottawa, Ontario, Canada
- School of Kinesiology and Health Sciences, Laurentian University, Sudbury, Ontario, Canada
| | - Joseph Leblanc
- Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada
- Human Sciences Division, NOSM University, Sudbury/Thunder Bay, Ontario, Canada
| | - Brian Ross
- Medical Sciences Division, NOSM University, Sudbury/Thunder Bay, Ontario, Canada
| | - Daniel Lamoureux
- NOSM University, UME Learner, Sudbury/Thunder Bay, Ontario, Canada
| | - Div Patel
- NOSM University, UME Learner, Sudbury/Thunder Bay, Ontario, Canada
| | | | - Erin Cameron
- Dr. Gilles Arcand Centre for Health Equity, NOSM University, Thunder Bay/Sudbury, Ontario, Canada
- Human Sciences Division, NOSM University, Sudbury/Thunder Bay, Ontario, Canada
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Upfold C, Jentz C, Heilmann P, Nathanielsen N, Chaimowitz G, Sørensen LU. Forensic psychiatry patients, services, and legislation in Nunavut and Greenland. INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY 2023; 91:101921. [PMID: 37690360 DOI: 10.1016/j.ijlp.2023.101921] [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: 04/29/2023] [Revised: 07/27/2023] [Accepted: 08/26/2023] [Indexed: 09/12/2023]
Abstract
Circumpolar regions face unique challenges in establishing and maintaining mental health care systems, including forensic psychiatry services. The scarcity of data and lack of evidence concerning the forensic psychiatry patient (FPP) populations of Nunavut and Greenland exacerbates the challenges of informing best practices and healthcare planning. By comparing the prevalence of forensic psychiatry patients, the mental health care services, and the legislation in these two relatively similar but unique regions, insight may be gained that can help inform healthcare planning. This cross-sectional study includes all forensic psychiatry in- and outpatients in one year from Nunavut (2018) and on February 29, 2020, in Greenland. The Greenland sample (n = 93) was nearly four times larger than the Nunavut sample (n = 15) at the population level. Despite considerable differences in forensic legislation and service supply, the forensic psychiatry patients in the two areas share several similarities. A total of 87% (n = 13) in the Nunavut sample were diagnosed with a DSM-5 schizophrenia spectrum disorder or other psychotic disorder. In Greenland, 82% (n = 76) were diagnosed with an ICD-10 F2 diagnosis (schizophrenia, schizotypal and delusional disorders). Approximately 2/3 of the patients in both populations were diagnosed with substance use disorder, and 60% of the Nunavut FPP received long-acting antipsychotic injections versus 62% in Greenland. Nearly half of the FPPs in both populations had never been convicted prior to entering the forensic psychiatry system; Nunavut 45% versus Greenland 47%. A substantial proportion of Greenlandic FPPs were outpatients compared to Nunavut (83% versus 47%). This study is an essential first step toward describing a Model of Care for forensic psychiatry patients in circumpolar regions; furthermore, the clinical similarities between the two populations provide support for future joint Arctic research and the inclusion of artic forensic patients in international studies.
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Affiliation(s)
- Casey Upfold
- Forensic Psychiatry Program, St. Joseph's Healthcare Hamilton, Canada
| | - Christian Jentz
- Department of Forensic Psychiatry, Aarhus University Hospital Psychiatry, Denmark; Institute of Clinical Medicine, Health, Aarhus University, Denmark
| | | | | | - Gary Chaimowitz
- Forensic Psychiatry Program, St. Joseph's Healthcare Hamilton, Canada; McMaster University, Department of Psychiatry and Behavioural Neurosciences, Canada.
| | - Lisbeth Uhrskov Sørensen
- Department of Forensic Psychiatry, Aarhus University Hospital Psychiatry, Denmark; Institute of Clinical Medicine, Health, Aarhus University, Denmark.
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Upfold C, Chaimowitz G. Forensic psychiatry services in Nunavut. Int J Circumpolar Health 2021; 80:1954362. [PMID: 34278974 PMCID: PMC8291065 DOI: 10.1080/22423982.2021.1954362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
There is a paucity of research on forensic psychiatry patients from Nunavut, including no published data concerning the prevalence and characterisation of patients in this territory. The lack of basic information hinders the evaluation of services and establishing best practices. The current paper aims to characterise forensic psychiatry patients from Nunavut and further the understanding of the challenges in organising forensic psychiatry healthcare in Nunavut. A retrospective chart review design was used to examine individuals from Nunavut who are engaged with the Ontario forensic psychiatry system. The sample included all Unfit to Stand Trial (26.7%) and Not Criminally Responsible (73.3%) patients (N = 15) under the jurisdiction of the Nunavut Review Board in a one-year period. The average distance between the patient’s place of residence in Nunavut and the Ontario facilities was 2,517 km. Overall, 26.7% were living in Nunavut, 60.0% remained in Ontario, and 13.3% resided in Alberta. Results are presented for sociodemographics, forensic status, personal and familial history, psychiatric and criminal history, diagnoses, index offence characteristics, treatment, assessment tools, and aggression. The prevalence and many characteristics of forensic psychiatry patients from Nunavut differ from the rest of Canada and have important implications for the delivery of services.
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Affiliation(s)
- Casey Upfold
- Forensic Psychiatry Program, St. Joseph's Healthcare Hamilton - West 5th Campus, Hamilton, ON, Canada
| | - Gary Chaimowitz
- Forensic Psychiatry Program, St. Joseph's Healthcare Hamilton - West 5th Campus, Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
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