Evidence map›Paper›PMID 37143605›Full record

ArticleFrontiers in global women's health2023

Recruiting foreign-born individuals who have sought an abortion in the United States: Lessons from a feasibility study.

Carmela Zuniga, Sachiko Ragosta, Terri-Ann Thompson

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Migrants Living in the United Kingdom and Their Perceptions of Participation in Health Research: A Mixed-Methods Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    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.

Carmela ZunigaIbis Reproductive Health, Cambridge, MA, United States.
Sachiko RagostaIbis Reproductive Health, Oakland, CA, United States.
Terri-Ann ThompsonIbis Reproductive Health, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although studies have documented challenges people encounter when attempting to access abortion care in the United States, there is little research on the perspectives and experiences of foreign-born individuals, who may encounter unique barriers to accessing care. Since lack of data may be due to difficulty recruiting this population, we explored the feasibility of using social media to recruit foreign-born individuals who have sought an abortion into interviews to share their abortion experiences. Our target population was limited to English and Spanish-speakers due to budget constraints. As this recruitment method was unsuccessful, we attempted to recruit our target population through the crowdsourcing website, Amazon Mechanical Turk (mTurk) to take a one-time survey on their abortion experience. Both online recruitment methods yielded a significant number of fraudulent responses. Although we aimed to collaborate with organizations that work closely with immigrant populations, they were unavailable to assist with recruitment efforts at the time of the study. Future abortion research utilizing online methods to recruit foreign-born populations should consider incorporating information on their target populations' use of online platforms as well as cultural views on abortion in order to develop effective recruitment strategies.

Indexed as

abortionhard-to-reach populationimmigrantsrecruitmentUnited States

Identifiers

PMID37143605
PMCPMC10151930

What OpenQuestion holds

Textmetadata
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.