Evidence map›Paper›PMID 39740984›Full record

ArticleBMJ sexual & reproductive health2025

Motivations for obtaining advance provision of medication abortion in the United States: a qualitative study.

Dana M Johnson, Sruthi Ramaswamy, Rebecca Gomperts, Abigail R A Aiken

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ sexual & reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dana M JohnsonPopulation Health Sciences, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA dmjohnson27@wisc.edu.ORCID http://orcid.org/0000-0001-5512-7947
Sruthi RamaswamyMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, USA.
Rebecca GompertsWomen on Web International Foundation, Amsterdam, The Netherlands.
Abigail R A AikenLyndon B. Johnson School of Public Affairs, University of Texas at Austin, Austin, Texas, USA.ORCID http://orcid.org/0000-0002-1555-3025

Funding

Health Disparities Research Scholars Training Program-RenewalT32HD049302 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Maureen S Durkin · 2007 to 2026
$5.6M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NICHD NIH HHS P2C HD042849NICHD NIH HHS T32 HD049302
6 · The paper itself

Abstract

backgroundAdvance provision of medication abortion, or the prescription of mifepristone and misoprostol before pregnancy occurs, is an unexplored care model aimed at expanding abortion access. We examine motivations for obtaining advance provision from the online telemedicine service, Aid Access, which supports people in the United States.

methodsBetween May and November 2023, we conducted semi-structured, in-depth interviews with 39 people who obtained advance provision between January 2022 and April 2023. Interviews were transcribed and we conducted a thematic analysis to assess individual motivations.

resultsParticipants were motivated to obtain medications because of the

conclusionsThe need for autonomy, resistance and reassurance were woven throughout participant's motivations for obtaining advance provision. The

Indexed as

Abortifacient AgentsAbortion, InducedHealth Services AccessibilityMotivationAdultFemaleHumansInterviews as TopicMiddle AgedMifepristoneMisoprostolPregnancyQualitative ResearchTelemedicineUnited StatesAbortifacient AgentsMifepristoneMisoprostolabortion, inducedMifepristoneReproductive Health ServicesReproductive Medicine

Identifiers

PMID39740984
PMCPMC12206936

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.