Obstetrics & Gynaecology Publications

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Perspectives on Medical Education





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INTRODUCTION: The COVID-19 pandemic has taken a significant toll on the health of structurally vulnerable patient populations as well as healthcare workers. The concepts of structural stigma and moral distress are important and interrelated, yet rarely explored or researched in medical education. Structural stigma refers to how discrimination towards certain groups is enacted through policy and practice. Moral distress describes the tension and conflict that health workers experience when they are unable to fulfil their duties due to circumstances outside of their control. In this study, the authors explored how resident physicians perceive moral distress in relation to structural stigma. An improved understanding of such experiences may provide insights into how to prepare future physicians to improve health equity.

METHODS: Utilizing constructivist grounded theory methodology, 22 participants from across Canada including 17 resident physicians from diverse specialties and 5 faculty members were recruited for semi-structured interviews from April-June 2020. Data were analyzed using constant comparative analysis.

RESULTS: Results describe a distinctive form of moral distress called structural distress, which centers upon the experience of powerlessness leading resident physicians to go above and beyond the call of duty, potentially worsening their psychological well-being. Faculty play a buffering role in mitigating the impact of structural distress by role modeling vulnerability and involving residents in policy decisions.

CONCLUSION: These findings provide unique insights into teaching and learning about the care of structurally vulnerable populations and faculty's role related to resident advocacy and decision-making. The concept of structural distress may provide the foundation for future research into the intersection between resident well-being and training related to health equity.

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Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.