Comparative Modeling to Inform Cervical Cancer Control Policies

比较模型为宫颈癌控制政策提供信息

基本信息

批准号：
10690116
负责人：
Ruanne Vanessa Barnabas
金额：
$ 4.25万
依托单位：
HARVARD SCHOOL OF PUBLIC HEALTH
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-08 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10690116
关键词：
Address Adolescent Australia CD4 Lymphocyte Count Cancer Burden Cancer Control Cancer Intervention and Surveillance Modeling Network Cervical Cervical Cancer Screening Clinical Data Clinical Research Clinical Trials Collaborations Comparative Carcinogenesis Cost Effectiveness Analysis Country Data Decision Making Development Disease Disease Outcome Effectiveness Ensure Evaluation Guidelines HIV Health Health Benefit Health Policy Human Papilloma Virus Vaccination Human Papilloma Virus-Related Malignant Neoplasm Human Papillomavirus Infection Information Dissemination Kenya Knowledge Malignant Neoplasms Malignant neoplasm of cervix uteri Modeling Netherlands New Mexico North Dakota Outcome Policies Policy Maker Population Preventative vaccination Prevention strategy Process Public Health Reporting Research Personnel Risk Route Series South Africa Technology Testing Time Uganda United States Update Vaccinated Vaccination Vaccines Woman base cancer health disparity cervical cancer prevention cervical carcinogenesis co-infection cohort comparative comparative effectiveness cost cost effective cost effectiveness disparity reduction effectiveness evaluation evidence base human model improved innovation low and middle-income countries mathematical model new technology programs scale up screening screening guidelines sexually transmitted virus tool vaccination strategy working group

项目摘要

Project Summary Despite successful cervical cancer screening in the United States (US), over 13,000 women develop and 4,000 women die from cervical cancer each year. The discovery of human papillomavirus (HPV) as the necessary cause of cervical cancer precipitated a surge of new evidence and development of innovative HPV-based technologies, both screening and prophylactic vaccination, that have allowed for significant changes in our approach to cervical cancer control over the past two decades. These new technologies represent tremendous opportunities for effective, equitable, and efficient cervical cancer programs in the US but also pose significant challenges for decision-making. Given the limited availability of outcomes data for new screening and vaccination approaches from empirical studies, policy-makers have become uniquely reliant on mathematical modeling to provide a synthesized evidence base for decision-making for cervical cancer control strategies. These models can be used to integrate the most up-to-date data, extrapolate short-term findings into long-term outcomes, and evaluate what-if scenarios that would otherwise be impractical or infeasible to conduct in clinical studies. The proposed CISNET project will represent the continued, productive collaboration of five independent modeling groups from the US, Australia, and the Netherlands that will leverage a series of state- of-the-art mathematical models of HPV and cervical carcinogenesis for comparative modeling. We will pursue analyses related to the impact of newly-revised screening and HPV vaccination guidelines, the comparative effectiveness of forthcoming screening and HPV vaccination strategies and approaches, the optimal routes for reducing cervical cancer disparities, the potential for cervical cancer elimination in the US, and optimal screening and vaccination strategies in women living with HIV. Our efforts will also involve wide dissemination of findings to various stakeholders to increase transparency and confidence in model-based analyses.

项目摘要尽管在美国（美国）成功宫颈癌筛查，但超过13,000名妇女和4,000多名女性妇女每年死于宫颈癌。发现人乳头瘤病毒（HPV）是必要的宫颈癌的原因引起了新的证据的激增和创新的基于HPV的发展筛查和预防性疫苗接种的技术已使我们的重大变化在过去的二十年中，宫颈癌控制的方法。这些新技术代表了巨大的在美国有效，公平和高效的宫颈癌计划的机会，但也显着决策的挑战。考虑到新筛查的结果数据的可用性有限，经验研究的疫苗接种方法，政策制定者已经依赖于数学建模为为宫颈癌控制策略提供综合证据基础。这些模型可用于整合最新的数据，将短期发现推断为长期结果，并评估否则将是不切实际或不可行的情况临床研究。拟议的CISNET项目将代表五个持续的富有成效的合作来自美国，澳大利亚和荷兰的独立建模小组将利用一系列国家用于比较建模的HPV和宫颈癌的数学模型。我们将追求与新修订的筛查和HPV疫苗接种指南（比较）相关的分析即将进行筛查和HPV疫苗接种策略和方法的有效性，最佳路线减少宫颈癌差异，美国消除宫颈癌的潜力和最佳艾滋病毒妇女的筛查和疫苗接种策略。我们的努力也将涉及广泛的传播对各种利益相关者的发现，以提高基于模型分析的透明度和信心。