Evidence map›Paper›PMID 39417713›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Identifying Measures for Understanding and Addressing County-Level Disparities in Adolescent HPV Vaccination Coverage in North Carolina.

Brigid K Grabert, Mary Catharine McKeithen, Justin G Trogdon, Lisa P Spees, Stephanie B Wheeler, Jenny K Myers, Jennifer C Spencer, Melissa B Gilkey

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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Brigid K GrabertDepartment of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0003-0556-1563
Mary Catharine McKeithenRTI International, Research Triangle Park, North Carolina.ORCID 0009-0002-5667-7208
Justin G TrogdonDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-5484-7870
Lisa P SpeesLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0002-5680-9330
Stephanie B WheelerDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0002-3399-9047
Jenny K MyersNorth Carolina Division of Public Health, Raleigh, North Carolina.ORCID 0009-0008-9319-8402
Jennifer C SpencerDepartment of Population Health, Dell Medical School, University of Texas at Austin, Austin, Texas.ORCID 0000-0001-9508-1525
Melissa B GilkeyLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina.ORCID 0000-0003-1561-1392

Funding

Program Project – Improving Provider Announcement Communication Training (IMPACT)P01CA250989 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI QUEEN, TARA L · 2021 to 2025
$11.7M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
National Cancer Institute (NCI) P01CA250989NCI NIH HHS P01 CA250989NCI NIH HHS T32 CA057726
6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) vaccination coverage is characterized by geographic disparities in the United States, with national studies finding lower coverage in rural versus nonrural areas. To direct quality improvement efforts in North Carolina, we sought to understand how different rurality measures characterize these disparities.

methodsWe used separate negative binomial regression models to test associations between five dichotomized county-level rurality measures and HPV vaccination coverage (≥1 dose) among North Carolina adolescents, aged 11 to 12 years (n = 326,345). Rurality measures were derived from: Office of Management and Budget's Metropolitan Statistical Areas, Rural-Urban Continuum Codes, Index of Relative Rurality, US Census Bureau classifications, and North Carolina Rural Center classifications. Models controlled for Social Vulnerability Index (SVI) percentile and rate of pediatricians per county. Vaccination data came from the North Carolina Immunization Registry.

resultsHPV vaccination coverage was 29% across North Carolina's 100 counties (range: 13%, 46%). Agreement between rurality measures ranged from 54% to 93% of counties. In adjusted analyses, none of the five rurality measures were correlated with HPV vaccination coverage, but higher SVI and higher rate of pediatricians were positively associated with coverage (P < 0.01). Exploratory moderation analyses suggested regional variation in the relationship between rurality and coverage, with a positive association in one region, a negative association in one region, and no association in four regions.

conclusionsCounty-level rurality measures did not identify disparities in HPV vaccination coverage in North Carolina. IMPACT: Measures related to social vulnerability and access to pediatricians may be better suited for understanding and addressing the state's substantial county-level vaccination disparities.

Indexed as

Papillomavirus InfectionsPapillomavirus VaccinesRural PopulationVaccination CoverageAdolescentChildFemaleHealthcare DisparitiesHumansMaleNorth CarolinaVaccinationPapillomavirus Vaccines

Identifiers

PMID39417713
PMCPMC11717598

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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.