Assessing the predictive accuracy of the new vaginal birth after cesarean calculator

Understanding Clinician Knowledge About Race Adjustment in the Vaginal Birth After Cesarean Calculator

Disparities in maternal health outcomes are striking. Historical and biased clinical support tools have potential to exacerbate inequities. In 2022, NewYork-Presbyterian, with ∼25,000 annual births, and our academic partners, Columbia and Weill Cornell, launched a program to better understand practice patterns and clinician attitudes toward a vaginal birth after cesarean (VBAC) calculator, which predicts VBAC success. This article summarizes the program, focusing on the VBAC calculator utilization survey, which measured provider awareness of the revised calculator and key factors considered in patient counseling. Our preliminary findings warrant future research and education on the calculator's implications for counseling and outcomes.

Promoting Equity In Clinical Decision Making: Dismantling Race-Based Medicine

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide clinical decision making. Race-based medicine, which relies on algorithms that use race as a proxy for biological differences, has led to treatment patterns that are inappropriate, unjust, and harmful to minoritized racial and ethnic groups. These patterns have contributed to persistent disparities in health and health care. To reduce these disparities, we recommend a race-aware approach to clinical decision support that considers social and environmental factors such as structural racism and social determinants of health. Recent policy changes in medical specialty societies and innovations in algorithm development represent progress on the path to dismantling race-based medicine. Success will require continued commitment and sustained efforts among stakeholders in the health care, research, and technology sectors. Increasing the diversity of clinical trial populations, broadening the focus of precision medicine, improving education about the complex factors shaping health outcomes, and developing new guidelines and policies to enable culturally responsive care are important next steps.