Evidence map›Paper›PMID 41893788›Full record

ArticleVaccines2026

Correlates of Integrated Human Papillomavirus Vaccination and Cervical Cancer Screening Protection in U.S. Low-Income Women.

Erika B Biederman, Victoria L Champion, Katharine J Head, Teresa M Imburgia, Gregory D Zimet

Abstract read
In one paragraph

Article in Vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Erika B BiedermanDepartment of Community Health Systems, Indiana University School of Nursing, Indianapolis, IN 46202, USA.ORCID 0000-0001-6221-5806
Victoria L ChampionDepartment of Community Health Systems, Indiana University School of Nursing, Indianapolis, IN 46202, USA.ORCID 0000-0002-6153-0713
Katharine J HeadDepartment of Communication Studies, Indiana University-Indianapolis, Indianapolis, IN 46202, USA.
Teresa M ImburgiaDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indianapolis, IN 46202, USA.ORCID 0000-0002-8883-6659
Gregory D ZimetIndiana University School of Medicine, 1625 Sturbridge Road, Indianapolis, IN 46260, USA.ORCID 0000-0003-3835-937X

Funding

Center for Human Papillomavirus Research, Indiana University School of Medicine N/A
6 · The paper itself

Abstract

BACKGROUND/

objectivesIn the United States, adult human papillomavirus (HPV) vaccination coverage remains low at 20-50%, depending on age, and cervical cancer (CC) screening rates range from 68 to 76%. Few studies have evaluated characteristics of women who are both HPV vaccinated and up to date (UTD) with screening as an integrated outcome. The purpose of the present study was to classify women into four prevention categories and examine factors associated with being double protected compared to unprotected.

methodsData were gathered via an online survey from a sample of low-income women (household income < USD 50,000) provided by a research survey company (n = 719). Women were classified into four categories: vaccinated only, screened only, both vaccinated and screened (double protected), or neither (unprotected). Sociodemographic characteristics, healthcare access, and Health Belief Model constructs were assessed. Multivariable logistic regression compared women who were double protected with those unprotected (n = 274).

resultsMost women were UTD with screening only (57.8%), while 15.5% were double protected and 22.6% were unprotected. Younger age (Odds Ratio [OR = 0.93; 95% Confidence Interval [CI]: 0.89, 0.98), having ≥1 medical visit in the past year (OR = 4.16; 95% CI: 1.74, 9.95), higher perceived CC risk (OR = 3.65; 95% CI: 1.41, 9.43), greater perceived benefits of CC screening (OR = 1.96; 95% CI: 1.45, 2.66), and higher HPV knowledge (OR = 1.09; 95% CI: 1.01, 1.17) were associated with higher odds of being double protected.

conclusionsA substantial proportion of low-income women lack comprehensive CC prevention. Integrated, bundled prevention strategies that simultaneously promote HPV vaccination and screening may be important to reduce CC disparities.

Indexed as

cervical cancer screeninghealth disparitieshuman papillomavirus vaccination

Identifiers

PMID41893788
PMCPMC13030555

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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.