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Background: This thesis is a broad exploration of intersectional analyses on prevalent factors related to health outcomes, namely mental health differences, within the Canadian healthcare workforce. Purpose: This study supports a novel outlook to explore the nuanced associations between individuals and health outcomes through a quantitative intersectionality approach. Methods: Intersectional health differences across defined strata based on race, sex, and household income were observed via a MAIHDA approach. Results: Discriminatory accuracy at the individual level varied between 12.0-15.8% for the main health outcomes of interest. The strata comprising a non-racialized female with a low reported household income were among the most hazardous intersectional effects for general health, mental health, and probable depression and/or anxiety. Conclusion: This contributes to the literature on health management by foreseeing how social positions can play a role in employee well-being, examine heterogeneity within the healthcare workforce, and provide directions to enhance corporate social responsibility in healthcare organizations.
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Megan McKenzie (2024) studied this question.
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