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A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. | LitMetric

A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers.

Front Digit Health

UTHSC-Oak Ridge National Laboratory (ORNL) Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States.

Published: July 2021

AI Article Synopsis

  • Human papillomavirus (HPV) is the most common STI in the U.S., affecting sexually active young adults who make up about 50% of new infections, with certain types leading to serious health risks like cancer.
  • The study aims to identify social determinants of health (SDoH) that hinder HPV vaccination rates in young adults, propose a digital health solution for managing personal health information, and outline the features of an app designed to enhance HPV prevention strategies.
  • By using artificial intelligence techniques, the app aims to provide customized health interventions, improve health literacy, and promote safe sexual practices while addressing barriers like vaccine hesitancy, education, and cultural beliefs among young adults.

Article Abstract

Human papillomavirus (HPV) causes the most prevalent sexually transmitted infection (STI) in the United States. Sexually active young adults are susceptible to HPV, accounting for approximately 50% of new STIs. Oncogenic HPV subtypes 16 and 18 are associated with squamous intraepithelial lesions and cancers and are mostly preventable through prophylactic HPV vaccination. Accordingly, this study's objectives are to (1) summarize SDoH barriers and implication for low HPV vaccination rates among young adults (18-26 years), (2) propose a digital health solution that utilizes the PHL to collect, integrate, and manage personalized sexual and health information, and (3) describe the features of the PHL-based app. Through the application of novel techniques from artificial intelligence, specifically knowledge representation, semantic web, and natural language processing, this proposed PHL-based application will compile clinical, biomedical, and SDoH data from multi-dimensional sources. Therefore, this application will provide digital health interventions that are customized to individuals' specific needs and capacities. The PHL-based application could promote management and usage of personalized digital health information to facilitate precision health promotion thereby, informing health decision-making regarding HPV vaccinations, routine HPV/STI testing, cancer screenings, vaccine safety/efficacy/side effects, and safe sexual practices. In addition to detecting vaccine hesitancy, disparities and perceived barriers, this application could address participants' specific needs/challenges with navigating health literacy, technical skills, peer influence, education, language, cultural and spiritual beliefs. Precision health promotion focused on improving knowledge acquisition and information-seeking behaviors, promoting safe sexual practices, increasing HPV vaccinations, and facilitating cancer screenings could be effective in preventing HPV-associated cancers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521976PMC
http://dx.doi.org/10.3389/fdgth.2021.683161DOI Listing

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