Evidence map›Paper›PMID 32437369›Full record

ArticlePloS one2020

Shining the light on abortion: Drivers of online abortion searches across the United States in 2018.

Sylvia Guendelman, Elena Yon, Elizabeth Pleasants, Alan Hubbard, Ndola Prata

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Sylvia GuendelmanSchool of Public Health, University of California, Berkeley (UCB), CA, United States of America.ORCID 0000-0001-9690-3121
Elena YonComputer Science Department at UCB, University of California, Berkeley, CA, United States of America.
Elizabeth PleasantsMaternal, Child and Adolescent Health Program, School of Public Health at UCB, University of California, Berkeley, CA, United States of America.
Alan HubbardDivision of Biostatistics at UCB, University of California, Berkeley, CA, United States of America.
Ndola PrataBixby Center for Population Health and Sustainability, University of California, Berkeley, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLegal abortion restrictions, stigma and fear can inhibit people's voices in clinical and social settings posing barriers to decision-making and abortion care. The internet allows individuals to make informed decisions privately. We explored what state-level policy dimensions were associated with volume of Google searches on abortion and on the abortion pill in 2018.

methodsWe used Google Trends to quantify the relative search volume (RSV) for "abortion" and "abortion pill" (or "abortion pills" hereafter referred to as "abortion pill") as a proportion of total search volume for all queries in each US state. We also identified the top search queries most related to "abortion" and "abortion pill" and considered these as indicators of population concern. Key exposures were healthcare cost, access and health outcomes, and number of legal restrictions and protections at the state level. In descriptive analyses, we first grouped the states into tertiles according to their RSV on "abortion" and "abortion pill". To examine the association between each exposure (and other covariates) with the two outcomes, we used unadjusted and adjusted linear regression.

resultsThe average RSV for "abortion" in the low, moderate and high tertile groups was 48 (SD = 3.25), 55.5 (SD = 2.11) and 64 (SD = 4.72) (p-value <0.01) respectively; for "abortion pill" the average RSVs were 39.6 (SD = 16.68), 61.9 (SD = 5.82) and 81.7 (SD = 6.67) (p-value < 0.01) respectively. Concerns about contraceptive availability and access, and unplanned pregnancies independently predicted the relative search volumes for abortion and abortion pill. According to our baseline models, states with low contraceptive access had far higher abortion searches. Volume of abortion pill searches was additionally positively associated with poor health outcomes, poor access to abortion facilities and non-rurality.

conclusionSearch traffic analysis can help discern abortion-policy influences on population concerns and require close monitoring. State-policies can predict search volume for abortion and abortion pill. In 2018, concerns about contraceptives and unplanned pregnancies, predicted abortion searches. Current decreases in public contraceptive funding and the Title X Gag rule designed to block millions of people from getting care at Planned Parenthood, the largest provider of birth control and abortion care, may increase concerns about unintended pregnancies that can lead to increases in online relative volume of abortion searches.

Indexed as

ContraceptionAbortion ApplicantsAbortion, InducedAbortion, LegalAdultContraceptive DevicesFemaleHealth Care CostsHealth Services AccessibilityHumansPregnancyUnited States

Identifiers

PMID32437369
PMCPMC7241764

What OpenQuestion holds

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LicenceCC BY
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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.