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Patient-Led Approaches to a Vaginal Birth After Cesarean Delivery Calculator
Nicholas Rubashkin1, Ifeyinwa Asiodu, Saraswathi Vedam
1Department of Obstetrics, Gynecology, & Reproductive Sciences, the Institute for Global Health Sciences, the Department of Family Health Care Nursing, School of Nursing, and the Department of Anthropology, History and Social Medicine, University of California, San Francisco, San Francisco, California; the Birth Place Lab and the School of Population & Public Health, University of British Columbia, Vancouver, British Columbia, Canada; and the Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Patients interpret vaginal birth after cesarean (VBAC) probability scores differently, often challenging the calculator's use of race and ethnicity. Understanding these patient-led approaches can improve counseling for a more equitable birth experience.
Area of Science:
- Reproductive Health
- Maternal-Fetal Medicine
- Health Disparities
Background:
- The Maternal-Fetal Medicine Units' (MFMU) VBAC calculator predicts vaginal birth after cesarean (VBAC) success.
- This calculator incorporates race and ethnicity as risk factors, raising concerns about equity.
- Patient perspectives on navigating these predictions are crucial for informed decision-making.
Purpose of the Study:
- To describe how patients interpret VBAC probability scores.
- To explore patient approaches to using VBAC calculator predictions, particularly concerning race and ethnicity.
- To identify patient-led strategies for understanding birth after cesarean outcomes.
Main Methods:
- Qualitative study involving interviews and recorded prenatal visits with diverse patients with prior cesarean delivery.
- Used a critical and feminist approach to analyze thematic data.
- Examined patient decision-making in the context of MFMU VBAC calculator scores.
Main Results:
- Thirty-one participants represented diverse racial and ethnic backgrounds.
- Predicted VBAC success probabilities varied widely (12%-95%).
- Identified four patient-led interpretation themes: rejecting race/ethnicity, reframing failure, considering labor experience, and modifying probability.
Conclusions:
- Numeric VBAC probability may not be universally valued, especially for those with strong VBAC intentions.
- Black and Hispanic participants challenged the calculator's racial/ethnic risk factors, resisting implications of reduced capability.
- Patient-led interpretation of VBAC probability offers a resource for person-centered, equitable counseling.
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