Literature DB >> 29609838

Operationalizing outcome measures of human papillomavirus vaccination among adolescents.

C Odoh1, M Sanderson2, E A Williams3, P C Hull4.   

Abstract

OBJECTIVES: When examining vaccination coverage, researchers must make decisions about how to define outcome measures based on many factors, including the timing of doses. Different operationalizations of the same outcome can often lead to different findings and can affect the ability to make comparisons across studies. This methodological article aimed to illustrate the implications of two options for operationalizing human papillomavirus (HPV) vaccination based on timing: initiation of the first dose at any age vs before the 13th birthday (on time). STUDY
DESIGN: Cross-sectional observational design.
METHODS: The 2014 National Immunization Survey for Teens (N = 16,439 adolescents aged 13-17 years) was analyzed using multivariate logistic regression for each outcome measure and effect modification by gender.
RESULTS: Age was positively associated with initiation at any age but negatively associated with on-time initiation. Gender modified the effect of race/ethnicity for both measures of initiation, but the pattern across groups was different for the two outcomes. Gender modified the effect of provider recommendation for initiation at any age, while gender modified the effects of age and region for on-time initiation.
CONCLUSION: Decisions of how to operationalize outcomes of HPV vaccine initiation among adolescents can lead to different conclusions about the role of age and gender differences for several predictive variables. To inform the development of public health efforts that promote on-time HPV vaccination among male and female adolescents, researchers should consider the importance of dose timing when operationalizing outcome measures. We recommend including on-time receipt of the HPV vaccine as an outcome measure.
Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adolescent; Gender; Human papillomavirus vaccine; Immunization schedule

Mesh:

Substances:

Year:  2018        PMID: 29609838      PMCID: PMC5984163          DOI: 10.1016/j.puhe.2018.02.022

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  10 in total

1.  Validity of parent-reported vaccination status for adolescents aged 13-17 years: National Immunization Survey-Teen, 2008.

Authors:  Christina G Dorell; Nidhi Jain; David Yankey
Journal:  Public Health Rep       Date:  2011 Jul-Aug       Impact factor: 2.792

2.  Choice of measures of vaccination and estimates of risk of pediatric pertussis.

Authors:  Neal D Goldstein; E Claire Newbern; Alison A Evans; Kate Drezner; Seth L Welles
Journal:  Vaccine       Date:  2015-06-18       Impact factor: 3.641

3.  Use of a 2-Dose Schedule for Human Papillomavirus Vaccination - Updated Recommendations of the Advisory Committee on Immunization Practices.

Authors:  Elissa Meites; Allison Kempe; Lauri E Markowitz
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-12-16       Impact factor: 17.586

4.  Variation in Human Papillomavirus Vaccine Uptake and Acceptability Between Female and Male Adolescents and Their Caregivers.

Authors:  Kristin L Johnson; Meng-Yun Lin; Howard Cabral; Lewis E Kazis; Ingrid T Katz
Journal:  J Community Health       Date:  2017-06

5.  Comparison of the immunogenicity and reactogenicity of a prophylactic quadrivalent human papillomavirus (types 6, 11, 16, and 18) L1 virus-like particle vaccine in male and female adolescents and young adult women.

Authors:  Stan L Block; Terry Nolan; Carlos Sattler; Eliav Barr; Katherine E D Giacoletti; Colin D Marchant; Xavier Castellsagué; Steven A Rusche; Suzanne Lukac; Janine T Bryan; Paul F Cavanaugh; Keith S Reisinger
Journal:  Pediatrics       Date:  2006-11       Impact factor: 7.124

6.  Factors that influence parental vaccination decisions for adolescents, 13 to 17 years old: National Immunization Survey-Teen, 2010.

Authors:  Christina Dorell; David Yankey; Allison Kennedy; Shannon Stokley
Journal:  Clin Pediatr (Phila)       Date:  2012-12-06       Impact factor: 1.168

7.  National, Regional, State, and Selected Local Area Vaccination Coverage Among Adolescents Aged 13-17 Years - United States, 2015.

Authors:  Sarah Reagan-Steiner; David Yankey; Jenny Jeyarajah; Laurie D Elam-Evans; C Robinette Curtis; Jessica MacNeil; Lauri E Markowitz; James A Singleton
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-08-26       Impact factor: 17.586

8.  Younger age at initiation of the human papillomavirus (HPV) vaccination series is associated with higher rates of on-time completion.

Authors:  Jennifer L St Sauver; Lila J Finney Rutten; Jon O Ebbert; Debra J Jacobson; Michaela E McGree; Robert M Jacobson
Journal:  Prev Med       Date:  2016-02-28       Impact factor: 4.018

9.  Human Papillomavirus Vaccination Coverage Among Girls Before 13 Years: A Birth Year Cohort Analysis of the National Immunization Survey-Teen, 2008-2013.

Authors:  Jenny Jeyarajah; Laurie D Elam-Evans; Shannon Stokley; Philip J Smith; James A Singleton
Journal:  Clin Pediatr (Phila)       Date:  2015-11-24       Impact factor: 1.168

10.  HPV vaccination initiation after the routine-recommended ages of 11-12 in the United States.

Authors:  Daniel C Beachler; Felisa A Gonzales; Sarah C Kobrin; Aimée R Kreimer
Journal:  Papillomavirus Res       Date:  2016-12-01
  10 in total
  2 in total

1.  Human Papillomavirus Vaccination Before 13 and 15 Years of Age: Analysis of National Immunization Survey Teen Data.

Authors:  Robert A Bednarczyk; Mallory K Ellingson; Saad B Omer
Journal:  J Infect Dis       Date:  2019-07-31       Impact factor: 5.226

2.  Disparities in Healthcare Providers' Recommendation of HPV Vaccination for U.S. Adolescents: A Systematic Review.

Authors:  Wei Yi Kong; Gabriela Bustamante; Isabella K Pallotto; Marjorie A Margolis; Rebecca Carlson; Annie-Laurie McRee; Melissa B Gilkey
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-08-23       Impact factor: 4.254

  2 in total

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