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Research papers

TRAP laws and the invisible labor of US abortion providers

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Pages 77-87 | Received 01 Jun 2015, Accepted 23 Jul 2015, Published online: 19 Aug 2015
 

Abstract

Targeted Regulation of Abortion Providers (TRAP laws) are proliferating in the United States and have increased barriers to abortion access. In order to comply with these laws, abortion providers make significant changes to facilities and clinical practices. In this article, we draw attention to an often unacknowledged area of public health threat: how providers adapt to increasing regulation and the resultant strains on the abortion provider workforce. Current US legal standards for abortion regulations have led to an increase in laws that target abortion providers. We describe recent research with abortion providers in North Carolina to illustrate how providers adapt to new regulations, and how compliance with regulation leads to increased workload and increased financial and emotional burdens on providers. We use the concept of invisible labor to highlight the critical work undertaken by abortion providers not only to comply with regulations, but also to minimize the burden that new laws impose on patients. This labor provides a crucial bridge in the preservation of abortion access. The impact of TRAP laws on abortion providers should be included in the consideration of the public health impact of abortion laws.

Acknowledgments

The content is solely the responsibility of the authors and does not represent the official views of the NIH. We are grateful to Rachel Wilbur for research assistance and to researchers at UCSF’s Advancing New Standards in Reproductive Health for offering helpful comments on an early version of this work.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was supported by grants from the Society for Family Planning (SFPRF7- 15, Rebecca Mercier: PI) and the Greenwall Foundation (A15-0165, Anne Drapkin Lyerly: PI). Mara Buchbinder’s efforts were supported by a grant from the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health (KL2TR001109).

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