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Imagining Improved Interactions: Patients' Designs To Address Implicit Bias.

Title: Imagining Improved Interactions: Patients' Designs To Address Implicit Bias.
Authors: Yang, Connie; Coney, Leslie; Mohanraj, Deepthi; Casanova-Perez, Reggie; Bascom, Emily; Efrem, Niyat; Garcia, Joseph Tan; Sabin, Janice; Pratt, Wanda; Weibel, Nadir; Hartzler, Andrea L
Source: AMIA Annual Symposium Proceedings, vol 2023
Publisher Information: eScholarship, University of California
Publication Year: 2023
Collection: University of California: eScholarship
Subject Terms: 4203 Health Services and Systems (for-2020); 42 Health Sciences (for-2020); Behavioral and Social Science (rcdc); Health Services (rcdc); Sexual and Gender Minorities (SGM/LGBT*) (rcdc); Health Disparities (rcdc); Clinical Research (rcdc); 7.1 Individual care needs (hrcs-rac); 3 Good Health and Well Being (sdg); Female (mesh); Humans (mesh); Bias; Implicit (mesh); Sexual and Gender Minorities (mesh); Delivery of Health Care (mesh); Sexual Behavior (mesh); Gender Identity (mesh)
Subject Geographic: 774 - 783
Description: Implicit biases may negatively influence healthcare providers' behaviors toward patients from historically marginalized communities, impacting providers' communication style, clinical decision-making, and delivery of quality care. Existing interventions to mitigate negative experiences of implicit biases are primarily designed to increase recognition and management of stereotypes and prejudices through provider-facing tools and resources. However, there is a gap in understanding and designing interventions from patient perspectives. We conducted seven participatory co-design workshops with 32 Black, Indigenous, People of Color (BIPOC), Lesbian, Gay, Bisexual, Transgender, Queer/Questioning (LGBTQ+), and Queer, Transgender, Black, Indigenous, People of Color (QTBIPOC) individuals to design patient-centered interventions that help them address and recover from provider implicit biases in primary care. Participants designed four types of solutions: accountability measures, real-time correction, patient enablement tools, and provider resources. These informatics interventions extend the research on implicit biases in healthcare through inclusion of valuable, firsthand patient perspectives and experiences.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
Relation: qt192043tj; https://escholarship.org/uc/item/192043tj; https://escholarship.org/content/qt192043tj/qt192043tj.pdf
Availability: https://escholarship.org/uc/item/192043tj; https://escholarship.org/content/qt192043tj/qt192043tj.pdf
Rights: public
Accession Number: edsbas.1A9CB2A
Database: BASE