Harnessing Big Data to Identify Geographic Clusters of Low-income children with Poor HPV Vaccination Rates

利用大数据识别 HPV 疫苗接种率较低的低收入儿童的地理集群

• 批准号: 10812590
• 负责人: Kalyani Sonawane
• 金额: $ 11.53万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10812590
• 关键词: Harnessing; Big; Data; Identify; Geographic

PROJECT SUMMARY/ABSTRACT Children and adolescents from low-income households are an important focus for human papillomavirus (HPV) vaccination because the risk of HPV-associated cancers for individuals from low socioeconomic status is markedly higher (up to 20% for cervical, 20% for oropharyngeal, 17% for vulvar, and 50% for anal cancer). The HPV vaccine protects up to six cancers (cervical, vaginal, vulvar, oropharyngeal, anal, and penile cancers) and can reduce the incidence of these cancers by nearly 90% if administered before 17 years of age. However, vaccination rates are suboptimal in many states. Texas (the state with 3rd highest burden of HPV-associated cancer in the nation) has underperformed on HPV vaccination. Children from low-income families constitute half of Texas’ HPV vaccine-eligible population. In 2018, only 30% of the boys and girls from low-income families had received the recommended doses of the HPV vaccine. The lack of valid and robust area-level (ZIP code level) estimates of vaccination rates for low-income children and adolescents is a major barrier to strategizing vaccination efforts in Texas. Addressing these data deficiencies is necessary for mobilizing resources and invigorating HPV vaccination outreach in Texas. The applicant proposing this K01 research (Dr. Kalyani Sonawane) is a trained pharmacist and health services researcher who is well-positioned to address disparities in HPV-associated cancer prevention. Kalyani will receive training in disparities research, advanced data analytics and visualization, geospatial techniques, and ethics and dissemination under the mentorship of nationally recognized experts Dr. Xianglin Du (cancer health services research and claims data analysis), Dr. Anna R. Giuliano (HPV vaccine and HPV-associated cancer prevention), Dr. Maria E. Fernandez (implementation and dissemination science research to reduce cancer disparities), Dr. Ashish A. Deshmukh (population health with a focus on HPV and associated cancers), and Dr. Ruosha Li (biostatistical methodologies for health care data research). This proposal will utilize cutting-edge methods devised for healthcare data analytics to quantify area-level (5-digit ZIP code level) HPV vaccination rates by harnessing healthcare claims information of over 4.8 million low-income children and adolescents (Aim 1). Sophisticated geospatial models will be utilized to identify geographic areas that are underperforming on HPV vaccination (Aim 2). Subsequently, a novel web-based portal will be created for HPV vaccination data visualization and disseminating evidence-based HPV vaccination resources to healthcare providers (Aim 3). This K01 award will provide Dr. Sonawane a structured and tailored mentoring program and resources for synthesizing preliminary data that will be critical for her to become an independently funded investigator in cancer health disparities research. The proposed work and subsequent research will invigorate outreach efforts for HPV-associated cancer prevention in vulnerable individuals.

项目总结/摘要 来自低收入家庭的儿童和青少年是人乳头瘤病毒（HPV）的重要重点 接种疫苗，因为来自低社会经济地位的个体的HPV相关癌症风险 明显更高（宫颈癌高达20%，口咽癌20%，外阴癌17%，肛门癌50%）。的 HPV疫苗可保护多达六种癌症（宫颈癌、阴道癌、外阴癌、口咽癌、肛门癌和阴茎癌）， 如果在17岁之前服用，可以将这些癌症的发病率降低近90%。然而，在这方面， 许多州的疫苗接种率都不理想。德克萨斯州（HPV相关疾病负担第三高的州） 美国的癌症）在HPV疫苗接种方面表现不佳。来自低收入家庭的儿童 得克萨斯州一半的HPV疫苗合格人群。2018年，只有30%的男孩和女孩来自低收入家庭， 家庭接受了推荐剂量的HPV疫苗。缺乏有效和可靠的区域一级（ZIP 低收入儿童和青少年的疫苗接种率估计数是一个主要障碍， 在德克萨斯州进行疫苗接种。解决这些数据不足问题对于调动 资源和振兴HPV疫苗接种外展在得克萨斯州。提出本K 01研究的申请人（Dr. Kalyani Sonawane）是一名训练有素的药剂师和卫生服务研究员， HPV相关癌症预防的差异。Kalyani将接受差异研究的培训， 数据分析和可视化，地理空间技术，以及道德和传播的指导下， 国家认可的专家杜祥林博士（癌症健康服务研究和索赔数据分析）， 安娜河Giuliano（HPV疫苗和HPV相关癌症预防），Maria E.费尔南德斯 （实施和传播科学研究，以减少癌症的差距），阿希什博士A。Deshmukh （人口健康，重点是HPV和相关癌症）和Ruosha Li博士（生物统计学 医疗保健数据研究方法）。该提案将利用为以下目的而设计的尖端方法： 医疗保健数据分析，以量化地区级（5位邮政编码级别）HPV疫苗接种率， 超过480万低收入儿童和青少年的医疗保健索赔信息（目标1）。复杂 地理空间模型将用于确定HPV疫苗接种表现不佳的地理区域 (Aim 2）的情况。随后，将创建一个新的基于网络的门户网站，用于HPV疫苗接种数据可视化， 向医疗保健提供者传播基于证据的HPV疫苗接种资源（目标3）。K 01奖项将 为Sonawane博士提供一个结构化和量身定制的指导计划和资源， 这些数据对她成为一名独立资助的癌症健康差异研究者至关重要 research.拟议的工作和随后的研究将为HPV相关疾病的外展工作注入活力。 在弱势群体中预防癌症。