Evidence map›Paper›PMID 36473511›Full record

ArticleContraception2023

Comparing preference for and use of medication abortion in Texas after policy changes in 2014 and 2018.

Sarah E Baum, Gracia Sierra, Daniel Grossman, Elsa Vizcarra, Joseph E Potter, Kari White

Abstract read
In one paragraph

Article in Contraception, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Sarah E BaumTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Ibis Reproductive Health, Oakland, CA, United States. Electronic address: sbaum@ibisreproductivehealth.org.
Gracia SierraTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Population Research Center, The University of Texas at Austin, Austin, TX, United States.
Daniel GrossmanTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, Oakland, CA, United States.
Elsa VizcarraTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Population Research Center, The University of Texas at Austin, Austin, TX, United States.
Joseph E PotterTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Population Research Center, The University of Texas at Austin, Austin, TX, United States.
Kari WhiteTexas Policy Evaluation Project, Population Resource Center, The University of Texas at Austin, Austin, TX, United States; Population Research Center, The University of Texas at Austin, Austin, TX, United States; Steve Hicks School of Social Work, University of Texas at Austin, Austin, TX, United States.

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI UMBERSON, DEBRA J. · 2002 to 2016
$8.4M
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 R24 HD042849
6 · The paper itself

Abstract

objectivesAssess preferences for and use of medication abortion in Texas after implementation of two policy changes: a 2013 state law restricting medication abortion and the FDA label change for mifepristone in 2016 nullifying some of this restriction. STUDY

designWe analyzed surveys conducted in 2014 and 2018 with abortion patients at 10 Texas abortion facilities. We calculated the percentage of all respondents with an initial preference for medication abortion by survey year, and the type of abortion obtained or planned to obtain among those who were at <10 weeks of gestation. We used multivariable-adjusted mixed-effects Poisson regression models to assess factors associated with medication abortion preference and actual/planned use.

resultsOverall, 156 (41%) of 376 respondents in 2014 and 247 (55%) of 448 respondents in 2018 reported initial preference for medication abortion (Prevalence ratio [PR]: 1.28; 95% CI 1.03-1.59). Among those who were <10 weeks of gestation and initially preferred medication abortion, 39 of 124 (31%) obtained or were planning to obtain the method in 2014, compared with 188 of 223 (84%) in 2018 (PR: 2.65; 95% CI: 1.69-4.15). After multivariable adjustment, respondents who initially preferred medication abortion and were 7 to 9 weeks of gestation at the time of their ultrasonography (vs <7 weeks) were less likely to obtain or plan to obtain the method (PR: 0.69; 95% CI: 0.57-0.84).

conclusionsAbortion patients were more likely to prefer and obtain or plan to obtain their preferred medication abortion after legal restrictions in Texas were nullified. IMPLICATIONS: State policies can affect people's ability to obtain their preferred abortion method. Efforts to provide both abortion options whenever possible, and inform people where each can be obtained, remains an important component of person-centered care despite increasing state abortion restrictions and bans following the reversal of Roe v Wade.

Indexed as

Abortion, InducedFemaleHumansMifepristonePregnancySurveys and QuestionnairesTexasMifepristoneAbortion accessClient preferenceMedication abortionMifepristoneMisoprostolPatient preference

Identifiers

PMID36473511
PMCPMC9985975

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.