Imagining Improved Interactions: Patients' Designs To Address Implicit Bias.
Connie YangLeslie ConeyDeepthi MohanrajReggie Casanova-PerezEmily BascomNiyat EfremJoseph Tan GarciaJanice SabinWanda PrattNadir WeibelAndrea L HartzlerPublished in: AMIA ... Annual Symposium proceedings. AMIA Symposium (2024)
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.
Keyphrases
- primary care
- healthcare
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- physical activity
- ejection fraction
- case report
- prognostic factors
- men who have sex with men
- hiv testing
- peritoneal dialysis
- mental health
- decision making
- palliative care
- patient reported outcomes
- hiv positive
- hiv infected
- big data
- artificial intelligence
- south africa
- antiretroviral therapy
- pain management