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Medical uncertainty in the shadow of Dobbs

Treating obstetric complications in a new reproductive frontier

Bibliographic Data

ID4596403
AuthorsM Buchbinder (0000-0002-2319-662X, University of North Carolina at Chapel Hill), Kavita S Arora (0000-0002-9912-9466, University of North Carolina at Chapel Hill), Samantha M Mcketchnie (0000-0001-8004-4430, Boston College), Erika L Sabbath (0000-0002-7866-7812, Boston College)
Year2025
Volume369
Pages117856
Publication date2025-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2025.117856
PMID39970515
OpenAlexW4407568008
LanguageEN
References cited45

Recent changes to United States medical practice following the U.S. Supreme Court's decision in Dobbs v Jackson Woman's Health Organization have led to new forms of medical uncertainty arising from the interpretation and implementation of state law. Post-Dobbs legal restrictions are particularly challenging because they entail multiple forms of uncertainty that intensify when combined, with risks to pregnant patients and to the clinicians who care for them. In this article, we identify and describe three distinct types of uncertainty that obstetrician-gynecologists (OB-GYNs) in states with abortion bans encounter when caring for patients with an obstetric complication known as preterm prelabor (or premature) rupture of membranes (PPROM, i.e., 'water breaking'). PPROM represents a paradigmatic case in which prognostic, legal, and existential uncertainty coalesce, leading to stress and discomfort for both patients and the clinicians caring for them. Focusing on OB-GYNs, we describe each of these forms of medical uncertainty in turn, and then elaborate a case study to show how they operate in tandem over time. In doing so, we add to a growing body of literature highlighting the relationship between structural conditions shaping medicine and uncertainty in practice. Whereas evidence-based medicine is organized around the logic of reducing uncertainty, we find that doing so is far more difficult when the uncertainty arises from politics as opposed to clinical factors

Economics · Frontier · Political science · Psychoanalysis · Shadow (psychology · Assisted Reproductive Technology and Twin Pregnancy · Law · Medicine · Psychology · Reproductive Health and Technologies

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Citation velocityhistorical
Highly citedNo
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