1. Societal implications of the Dobbs v Jackson Women's Health Organization decision.
- Author
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Brindis CD, Laitner MH, Clayton EW, Scrimshaw SC, Grosz BJ, Simpson LA, Rosenbaum S, Brierley CL, Simon MA, Roubideaux Y, Calonge BN, Johnson PA, DeStefano L, Bear A, Arora KS, and Dzau VJ
- Subjects
- Female, Humans, Pregnancy, Abortion, Induced legislation & jurisprudence, Abortion, Induced ethics, Abortion, Legal legislation & jurisprudence, Health Services Accessibility legislation & jurisprudence, United States, Women's Rights legislation & jurisprudence, Supreme Court Decisions, Women's Health legislation & jurisprudence
- Abstract
On June 24, 2022, the US Supreme Court's decision in Dobbs v Jackson Women's Health Organization marked the removal of the constitutional right to abortion in the USA, introducing a complex ethical and legal landscape for patients and providers. This shift has had immediate health and equity repercussions, but it is also crucial to examine the broader impacts on states, health-care systems, and society as a whole. Restrictions on abortion access extend beyond immediate reproductive care concerns, necessitating a comprehensive understanding of the ruling's consequences across micro and macro levels. To mitigate potential harm, it is imperative to establish a research agenda that informs policy making and ensures effective long-term monitoring and reporting, addressing both immediate and future impacts., Competing Interests: Declaration of interests All authors are former or current members or staff of the National Academies' Standing Committee on Reproductive Health, Equity, and Society. LAS is a member of the Board of Directors of the Women's Health Action Movement Global. SCS has received royalties from SAGE publications for editorial work; was a board member of Capital District Physician's Health Plan (a regional non-profit health insurance company); and is an unpaid board member of Speare Memorial Hospital., (Copyright © 2024 Elsevier Ltd. All rights reserved, including those for text and data mining, AI training, and similar technologies.)
- Published
- 2024
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