Evidence map›Paper›PMID 18793509›Full record

ArticlePreventing chronic disease2008

Prenatal HIV testing in the US-Mexico border region, 2005: the Brownsville-Matamoros Sister City Project for Women's Health.

Ginger L Gossman, Carlos Alberto Carillo Garza, Christopher H Johnson, Joanna J Nichols, Brian C Castrucci, Jill A McDonald, Kayan L Lewis, Gita G Mirchandani

Erratum issuedAbstract read
In one paragraph

Article in Preventing chronic disease, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ginger L GossmanFamily Health Research and Program Development, Office of Title V and Family Health, Texas Department of State Health Services, Austin, Texas, USA.
Carlos Alberto Carillo Garza
Christopher H Johnson
Joanna J Nichols
Brian C Castrucci
Jill A McDonald
Kayan L Lewis
Gita G Mirchandani

Funding

PHS HHS U65 CCU 623699-01-2
6 · The paper itself

Abstract

introductionRoutine prenatal human immunodeficiency virus (HIV) screening provides a critical opportunity to diagnose HIV infection, begin chronic care, and prevent mother-to-child transmission. However, little is known about the prevalence of prenatal HIV testing in the US-Mexico border region. We explored the correlation between prenatal HIV testing and sociodemographic, health behavior, and health exposure characteristics.

methodsThe study sample consisted of women who delivered live infants in 2005 in hospitals with more than 100 deliveries per year and resided in Matamoros, Tamaulipas, Mexico (n = 489), or Cameron County, Texas (n = 458). We examined univariate and bivariate distributions of HIV testing in Matamoros and Cameron County and quantified the difference in odds of HIV testing by using logistic regression.

resultsThe prevalence of prenatal HIV testing varied by place of residence--57.6% in Matamoros and 94.8% in Cameron County. Women in Cameron County were significantly more likely than those in Matamoros to be tested. Marital status, education, knowledge of methods to prevent HIV transmission (adult-to-adult), discussion of HIV screening with a health care professional during prenatal care, and previous HIV testing were significantly associated with prenatal HIV testing in Matamoros, although only the latter 2 variables were significant in Cameron County.

conclusionAlthough national policies in both the United States and Mexico recommend prenatal testing for HIV, a greater proportion of women in Cameron County were tested, compared with women in Matamoros. Efforts between Matamoros and Cameron County to improve HIV testing during pregnancy in the border region should consider correlates for testing in each community.

Indexed as

International CooperationPrenatal CareAdolescentAdultFemaleHIV InfectionsHumansInsurance, HealthMexicoPopulation SurveillancePregnancyPrevalenceTexasWomen's Health Services

Identifiers

PMID18793509
PMCPMC2578780

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LicenceCC BY
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Registered trials

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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.