Olusanya Olufunto A, Ammar Nariman, Davis Robert L, Bednarczyk Robert A, Shaban-Nejad Arash
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.
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Front Digit Health. 2021 Jul 21;3:683161. doi: 10.3389/fdgth.2021.683161. eCollection 2021.
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.
人乳头瘤病毒(HPV)引发了美国最为普遍的性传播感染(STI)。性活跃的年轻人易感染HPV,约占新增性传播感染病例的50%。致癌性HPV亚型16和18与鳞状上皮内病变及癌症相关,且大多可通过预防性HPV疫苗接种预防。因此,本研究的目标是:(1)总结社会决定因素健康(SDoH)障碍及其对年轻人(18 - 26岁)HPV低疫苗接种率的影响;(2)提出一种数字健康解决方案,利用个人健康库(PHL)收集、整合和管理个性化的性健康和一般健康信息;(3)描述基于PHL的应用程序的功能特性。通过应用人工智能的新技术,特别是知识表示、语义网和自然语言处理技术,本提议的基于PHL的应用程序将从多维度来源汇编临床、生物医学和社会决定因素健康数据。因此,该应用程序将提供针对个人特定需求和能力定制的数字健康干预措施。基于PHL的应用程序可以促进个性化数字健康信息的管理和使用,从而推动精准健康促进,为HPV疫苗接种、常规HPV/STI检测、癌症筛查、疫苗安全性/有效性/副作用以及安全性行为等健康决策提供信息。除了检测疫苗犹豫、差异和感知障碍外,该应用程序还可以解决参与者在健康素养、技术技能、同伴影响、教育、语言、文化和精神信仰等方面的特定需求/挑战。专注于提高知识获取和信息寻求行为、促进安全性行为、增加HPV疫苗接种以及推动癌症筛查的精准健康促进,可能对预防HPV相关癌症有效。