Publications by authors named "Kayle Donner"

Background: Recovery Colleges are mental health-oriented education programs that are rooted in principles of peer support and co-production. Co-production, in this context, involves people with lived experience of mental health and addiction challenges and people with other forms of expertise (e.g.

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Background: Violence in the healthcare workplace has been a global concern for over two decades, with a high prevalence of violence towards healthcare workers reported. Workplace violence has become a healthcare quality indicator and embedded in quality improvement initiatives of many healthcare organizations. The Centre for Addiction and Mental Health (CAMH), Canada's largest mental health hospital, provides all clinical staff with mandated staff safety training for self-protection and team-control skills.

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With the increasing application of Natural Language Processing (NLP) in Medicine at large, medical educators are urged to gain an understanding and implement NLP techniques within their own education programs to improve the workflow and make significant and rapid improvements in their programs. This paper aims to provide twelve essential tips inclusive of both conceptual and technical factors to facilitate the successful integration of NLP in medical education program evaluation. These twelve tips range from advising on various stages of planning the evaluation process, considerations for data collection, and reflections on preprocessing of data in preparation for analysis and interpretation of results.

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Purpose: Population-based data on trends and characteristics on polydrug overdoses are critically needed to help understand the changing drug epidemic in the United States, and to identify risk patterns and targets for overdose prevention for prescription and illicit opioid deaths. We conducted a statewide study in Tennessee to evaluate characteristics and trends of polydrug overdose deaths during 2013-2017.

Methods: We identified polydrug overdose deaths using ICD-10 codes and literal cause-of-death text in the death statistical files.

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