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Browsing by Author "Kalbaugh, Corey A."
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Item Implicit Racial Bias and Unintentional Harm in Vascular Care(American Medical Association, 2025-02-26) Kalbaugh, Corey A.; Beidelman, Erika T.; Howard, Kerry A.; Witrick, Brian; Clark, Ashley; McGinigle, Katharine L.; Minc, Samantha; Alabi, Olamide; Hicks, Caitlin W.; Gonzalez, Andrew A.; Cené, Crystal W.; Cykert, Samuel; Surgery, School of MedicineImportance: Implicit bias may influence physician treatment decisions and contribute to Black-White health disparities. There are limited data linking implicit bias with actual care delivery and outcomes. Objective: To determine whether implicit racial bias is associated with potentially harmful surgical treatment selection for a cohort of patients with peripheral artery disease-related claudication. Design, setting, and participants: This survey study, linked with observational registry data, included eligible clinicians who participate in the Vascular Quality Initiative (VQI) among 960 centers. The VQI includes academic medical centers, teaching hospitals, community hospitals, and private practices. Eligible participants included all vascular specialist VQI members (N = 2512), of whom 218 completed the race implicit association test (IAT) and were linkable to procedure-level data. The study was conducted between October 2021 and October 2022. Exposure: Race IAT. Main outcomes and measures: Clinician-level implicit bias results were linked to patient-level registry data of peripheral revascularization procedures performed for claudication. The adjusted odds of performance of any infrapopliteal procedure by specialist implicit bias and patient race were measured via mixed-effects logistic regression models. Implicit bias as a moderator of the association of infrapopliteal procedures for claudication and patient race with 1-year amputation was assessed as a secondary outcome. Results: Among 218 vascular specialists (mean [SD] age, 46 [9] years; 160 [73%] male), 157 (72%) had a pro-White bias. Black patients treated by a physician with pro-White bias had a significant increase in the odds of receiving an infrapopliteal procedure compared with the total sample (adjusted odds ratio [AOR], 1.67; 95% CI, 1.12-2.48). When treated by a specialist with pro-White bias, Black patients had increased odds of 1-year amputation, regardless of anatomic location treated, compared with White patients (AOR, 2.34; 95% CI, 1.20-4.55). Conversely, Black patients treated by a specialist with no bias had similar odds of an infrapopliteal procedure (AOR, 0.93; 95% CI, 0.68-1.26) as the full patient sample and similar odds of 1-year amputation (AOR, 1.29; 95% CI, 0.33-4.99) as White patients. Conclusions and relevance: These findings indicate that implicit bias is associated with potentially harmful infrapopliteal procedures for Black patients and contributes to Black-White outcome disparities in the US. These results suggest the need for system-level interventions that transparently identify and warn of procedures not aligned with best practices to reduce the negative influence of implicit bias.Item Investigating Unconscious Race Bias and Bias Awareness Among Vascular Surgeons(medRxiv, 2024-06-05) Howard, Kerry A.; Witrick, Brian; Clark, Ashley; Morse, Avery; Atkinson, Karen; Kapoor, Pranav; McGinigle, Katharine L.; Minc, Samantha; Alabi, Olamide; Hicks, Caitlin W.; Gonzalez, Andrew; Cené, Crystal W.; Cykert, Samuel; Kalbaugh, Corey A.; Surgery, School of MedicineBackground: Implicit bias can influence behavior and decision-making. In clinical settings, implicit bias may influence treatment decisions and contribute to health disparities. Given documented Black-White disparities in vascular care, the purpose of this study was to examine the prevalence and degree of unconscious bias and awareness of bias among vascular surgeons treating peripheral artery disease (PAD). Methods: The sampling frame included all vascular surgeons who participate in the Vascular Quality Initiative (VQI). Participants completed a survey which included demographic questions, the race implicit association test (IAT) to measure magnitude of unconscious bias, and six bias awareness questions to measure conscious bias. The magnitude of unconscious bias was no preference; or slight, moderate, or strong in the direction of pro-White or pro-Black. Data from participants were weighted to account for nonresponse bias and known differences in the characteristics of surgeons who chose to participate compared to the full registry. We stratified unconscious and conscious findings by physician race/ethnicity, physician sex, and years of experience. Finally, we examined the relationship between unconscious and conscious bias. Results: There were 2,512 surgeons in the VQI registry, 304 of whom completed the survey, including getting IAT results. Most participants (71.6%) showed a pro-White bias with 73.0% of this group in the moderate and strong categories. While 77.5% of respondents showed conscious awareness of bias, of those whose conscious results showed lack of awareness, 67.8% had moderate or strong bias, compared to 55.7% for those with awareness. Bias magnitude varied based on physician race/ethnicity and years of experience. Women were more likely than men to report awareness of biases and potential impact of bias on decision-making. Conclusions: Most people have some level of unconscious bias, developed from early life reinforcements, social stereotypes, and learned experiences. Regarding health disparities, however, these are important findings in a profession that takes care of patients with PAD due to heavy burden of comorbid conditions and high proportion of individuals from structurally vulnerable groups. Given the lack of association between unconscious and conscious awareness of biases, awareness may be an important first step in mitigation to minimize racial disparities in healthcare.