Geospatial patterns of human papillomavirus vaccine uptake in Minnesota

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

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Objectives: To identify factors associated with human papillomavirus (HPV) vaccination and to determine the geographic distribution of vaccine uptake while accounting for spatial autocorrelation. Design: This study is cross-sectional in design using data collected via the Internet from the Survey of Minnesotans About Screening and HPV study. Setting and participants: The sample consists of 760 individuals aged 18.30 years nested within 99 ZIP codes surrounding the downtown area of Minneapolis, Minnesota. Results: In 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 (ρ = 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. Conclusions: Strong 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.

Original languageEnglish (US)
Article numbere008617
JournalBMJ open
Volume5
Issue number8
DOIs
StatePublished - 2015

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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