Evidence map›Paper›PMID 32345710›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Patterns and Disparities in Human Papillomavirus (HPV) Vaccine Uptake for Young Female Adolescents among U.S. States: NIS-Teen (2008-2016).

Wonsuk Yoo, Alexis Koskan, Matthew Scotch, Heidi Pottinger, Warner K Huh, Deborah Helitzer

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Testing an HPV Vaccine Decision Aid for 27- to 45-Year-Old Adults in the United States: A Randomized Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
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  5. Beyond health: exploring women's socio-cultural motivations for HPV vaccination.International journal of qualitative studies on health and well-being · 2024
    Article
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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

6 authors.

Wonsuk YooCollege of Health Solutions, Arizona State University, Phoenix, Arizona. wyoo153@gmail.com.
Alexis KoskanCollege of Health Solutions, Arizona State University, Phoenix, Arizona.
Matthew ScotchCollege of Health Solutions, Arizona State University, Phoenix, Arizona.ORCID 0000-0001-5100-9724
Heidi PottingerDepartment of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, The University of Arizona, Tucson, Arizona.ORCID 0000-0003-4499-2593
Warner K HuhDepartment of Obstetrics and Gynecology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Deborah HelitzerCollege of Health Solutions, Arizona State University, Phoenix, Arizona.ORCID 0000-0001-8334-2820

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI TZYY-CHOOU WU · 2003 to 2026
$53.5M
NCI NIH HHS P50 CA098252
6 · The paper itself

Abstract

backgroundSeveral studies have reported differential vaccine uptake outcomes that are associated with sociodemographic and socioeconomic characteristics, as well as provider type. However, none has examined a trend over a multiple-year span. In this study, we utilize a longitudinal data-based approach to examine state-level human papillomavirus (HPV) vaccine trends and their influences over time.

methodsWe analyzed National Immunization Survey - Teen data (2008-2016) to estimate HPV vaccine initiation rate in young female adolescent ages 13-17 years old among U.S. States. We identified growth patterns using the latent class growth method and explored state-level characteristics, including socioeconomic and sociodemographic attributes, and health legislation and policy-related programs among patterns.

resultsWe identified three growth patterns, which showed gradually increasing vaccination trends but different baseline HPV uptake rates (high, moderate, low). States within Pattern 1 (highest HPV vaccination rates) included the lowest percentage of families with incomes below federal poverty level, the highest percentage of bachelor's degree or higher, and the lowest number of uninsured, while states within Pattern 3 (lowest HPV vaccination rates) included families with socioeconomic attributes along the opposite end of the spectrum.

conclusionsLatent class growth models are an effective tool to be able to capture health disparities in heterogeneity among states in relation to HPV vaccine uptake trajectories. IMPACT: These findings might lead to designing and implementing effective interventions and changes in policies and health care coverage to promote HPV vaccination uptake for states represented under the lowest trajectory pattern.

Indexed as

AdolescentFemaleHumansPapillomavirus InfectionsPapillomavirus VaccinesUnited StatesPapillomavirus Vaccines

Identifiers

PMID32345710
PMCPMC7415186

What OpenQuestion holds

Textmetadata
LicenceTDM
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.