Evidence map›Paper›PMID 26316652›Full record

ArticleBMJ open2015

Geospatial patterns of human papillomavirus vaccine uptake in Minnesota.

Erik J Nelson, John Hughes, J Michael Oakes, James S Pankow, Shalini L Kulasingam

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A Population-Based Study of Sociodemographic and Geographic Variation in HPV Vaccination.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Article
  8. Review
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.

Erik J NelsonDepartment of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St. Louis, Missouri, USA.
John HughesDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID http://orcid.org/0000-0003-4150-4347
J Michael OakesDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID http://orcid.org/0000-0002-4507-1609
James S PankowDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.ORCID http://orcid.org/0000-0001-7076-483X
Shalini L KulasingamDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify factors associated with human papillomavirus (HPV) vaccination and to determine the geographic distribution of vaccine uptake while accounting for spatial autocorrelation.

designThis study is cross-sectional in design using data collected via the Internet from the Survey of Minnesotans About Screening and HPV study. SETTING AND

participantsThe sample consists of 760 individuals aged 18-30 years nested within 99 ZIP codes surrounding the downtown area of Minneapolis, Minnesota.

resultsIn all, 46.2% of participants had received ≥ 1 dose of HPV vaccine (67.7% of women and 13.0% of men). Prevalence of HPV vaccination was found to exhibit strong spatial dependence ([Formula: see text] = 0.9951) across ZIP codes. Accounting for spatial dependence, age (OR=0.76, 95% CI 0.70 to 0.83) and male gender (OR=0.04, 95% CI 0.03 to 0.07) were negatively associated with vaccination, while liberal political preferences (OR=4.31, 95% CI 2.32 to 8.01), and college education (OR=2.58, 95% CI 1.14 to 5.83) were found to be positively associated with HPV vaccination.

conclusionsStrong spatial dependence and heterogeneity of HPV vaccination prevalence were found across ZIP codes, indicating that spatial statistical models are needed to accurately identify and estimate factors associated with vaccine uptake across geographic units. This study also underscores the need for more detailed data collected at local levels (eg, ZIP code), as patterns of HPV vaccine receipt were found to differ significantly from aggregated state and national patterns. Future work is needed to further pinpoint areas with the greatest disparities in HPV vaccination and how to then access these populations to improve vaccine uptake.

Indexed as

AdolescentAdultCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMinnesotaPapillomavirus InfectionsPapillomavirus VaccinesSpatial AnalysisVaccinationYoung AdultPapillomavirus VaccinesEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID26316652
PMCPMC4554895

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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.