Evidence map›Paper›PMID 36317755›Full record

ArticleHealth & social care in the community2022

Pathways to reproductive autonomy: Using path analysis to predict family planning outcomes in the United States.

Laura E T Swan, Shelby E McDonald, Sarah K Price

Abstract read
In one paragraph

Article in Health & social care in the community, 2022. 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

3 authors.

Laura E T SwanDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-1371-3582
Shelby E McDonaldVirginia Commonwealth University, Clark-Hill Institute for Positive Youth Development, Richmond, Virginia, USA.
Sarah K PriceVirginia Commonwealth University, School of Social Work, Richmond, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, about half of pregnancies are unintended, and most women of reproductive age are at risk of unintended pregnancy. Research has explored predictors of contraceptive use and unintended pregnancy, but there is a lack of research regarding access to preferred contraceptive method(s) and the complex pathways from sociodemographic factors to these family planning outcomes. This study applied Levesque et al.'s (2013) healthcare access framework to investigate pathways from sociodemographic factors and indicators of access to family planning outcomes using secondary data. Data were collected at four time points via an online survey between November 2012 and June 2014. Participants were US women of reproductive age who were seeking to avoid pregnancy (N = 1036; M

Indexed as

ContraceptionFamily Planning ServicesAdultContraceptive AgentsEthnicityFemaleHumansPregnancyPregnancy, UnplannedUnited StatesContraceptive Agentscontraceptive usehealthcare accessreproductive autonomyunintended pregnancy

Identifiers

PMID36317755
PMCPMC10092462

What OpenQuestion holds

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LicenceCC BY
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.