Evidence map›Paper›PMID 34321256›Full record

ArticleBMJ sexual & reproductive health2022

Travelling for abortion services in Mexico 2016-2019: community-level contexts of Mexico City public abortion clients.

Laura E Jacobson, Biani Saavedra-Avendano, Evelyn Fuentes-Rivera, Raffaela Schiavon, Blair G Darney

Abstract read
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Article in BMJ sexual & reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 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.

Laura E JacobsonOregon Health and Science University-Portland State University (OHSU-PSU) School of Public Health, Portland, Oregon, USA jacobsonlaura@gmail.com.ORCID http://orcid.org/0000-0002-0996-7408
Biani Saavedra-AvendanoPublic Administration, Centro de Investigación y Docencia Económicas (CIDE), Mexico, Mexico City, Mexico.ORCID http://orcid.org/0000-0002-2080-4458
Evelyn Fuentes-RiveraCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID http://orcid.org/0000-0001-5551-6133
Raffaela SchiavonIndependent Consultant, Mexico City, Mexico.
Blair G DarneyDepartment of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon, USA.ORCID http://orcid.org/0000-0001-8120-028X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the community context of women who travel to access Mexico City's public sector abortion programme and identify factors associated with travelling from highly marginalised settings.

methodsWe used data from the Interrupción Legal de Embarazo (ILE) programme (2016-2019) and identified all abortion clients who travelled from outside Mexico City. We merged in contextual information at the municipality level and used descriptive statistics to describe ILE clients' individual characteristics and municipalities on several measures of vulnerability. We also compared municipalities that ILE clients travelled from with those where no one travelled from. We used logistic regression to identify factors associated with travelling to access ILE services from highly marginalised versus less marginalised municipalities.

resultsOur sample included 21 629 ILE clients who travelled to Mexico City from 491 municipalities within all 31 states outside Mexico City. The majority of clients travelled from the least marginalised (81.9%) and most populated (over 100 000 inhabitants; 91.3%) municipalities. Most (91.2%) ILE clients came from municipalities with adolescent fertility rates in the bottom three quintiles. Clients with a primary or secondary education (vs high school or more) and those from a municipality with a high adolescent fertility rate (top two quintiles) had higher odds of travelling from a highly marginalised (vs less) municipality (adjusted odds ratio (aOR) 1.46, 95% CI 1.35 to 1.58 and aOR 1.89, 95% CI 1.68 to 2.12, respectively).

conclusionILE clients travel from geographically and socioeconomically diverse communities. There is an unmet need for legal abortion across Mexico.

Indexed as

Abortion, InducedAbortion, SpontaneousAbortion, LegalAdolescentCitiesFemaleHumansMexicoPregnancyabortionhealth services accessibilityhealth services researchinduced

Identifiers

PMID34321256
PMCPMC8685658

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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.