Increasing HPV Vaccination Coverage Among Adolescent and Young Adult (AYA) Cancer Survivors: A Multilevel Intervention

Abstract

Background: Adolescent and young adult (AYA) cancer survivors are 2.8 times more likely to develop a human papillomavirus (HPV)-associated cancer than the general population. Thus, 3 doses of HPV vaccine are recommended for AYA cancer survivors 9-26 years of age. Unfortunately, HPV vaccination coverage among AYA cancer survivors is lower than that in the general population. Objective: This project seeks to increase HPV vaccination initiation and completion among AYA cancer survivors by implementing a single multilevel intervention focused on the clinic, oncologist, and survivor. Specific Aims: Aim1: Test the efficacy of a multilevel intervention to increase HPV vaccination initiation among AYA cancer survivors. Aim2: Compare efficacy of the GLAm app versus clinic-generated reminders to increase completion of the HPV vaccination series among AYA cancer survivors independent of scheduled survivorship visits. Study Design: The multilevel intervention comprising a quality improvement (QI) study combined with a randomized controlled trial (RCT) was developed using the Fogg Behavior Model. The QI study comprises training and encouragement for oncologist and survivorship clinic staff to recommend HPV vaccination to all unvaccinated/incompletely vaccinated patients. The RCT will randomize survivors of childhood cancer 18+ years of age or caregivers for survivors of childhood cancer 9-17 years of age to usual care (QI intervention alone) versus use of a game-based learning avatar-navigated mobile (GLAm) app to increase knowledge about HPV and HPV vaccination and to motivate initiation and completion of the 3-dose HPV vaccine series.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2023
Accession Number
AD1223442

Entities

People

  • Deanna Teoh

Organizations

  • University of Minnesota

Tags

Fields of Study

  • Medicine

Readers

  • Infectious Disease/Epidemiology
  • Oncology and Biomarker-Based Cancer Detection.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology