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HPV vaccine coverage in Texas counties: An application of multilevel, small area estimation.

机译:德克萨斯州县的HPV疫苗覆盖率:多层次,小面积估计的应用。

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摘要

Health departments, research institutions, policy-makers, and healthcare providers are often interested in knowing the health status of their clients/constituents. Without the resources, financially or administratively, to go out into the community and conduct health assessments directly, these entities frequently rely on data from population-based surveys to supply the information they need. Unfortunately, these surveys are ill-equipped for the job due to sample size and privacy concerns. Small area estimation (SAE) techniques have excellent potential in such circumstances, but have been underutilized in public health due to lack of awareness and confidence in applying its methods. The goal of this research is to make model-based SAE accessible to a broad readership using clear, example-based learning. Specifically, we applied the principles of multilevel, unit-level SAE to describe the geographic distribution of HPV vaccine coverage among females aged 11-26 in Texas.;Multilevel (3 level: individual, county, public health region) random-intercept logit models of HPV vaccination (receipt of ≥ 1 dose GardasilRTM ) were fit to data from the 2008 Behavioral Risk Factor Surveillance System (outcome and level 1 covariates) and a number of secondary sources (group-level covariates). Sampling weights were scaled (level 1) or constructed (levels 2 & 3), and incorporated at every level. Using the regression coefficients (and standard errors) from the final models, I simulated 10,000 datasets for each regression coefficient from the normal distribution and applied them to the logit model to estimate HPV vaccine coverage in each county and respective demographic subgroup. For simplicity, I only provide coverage estimates (and 95% confidence intervals) for counties.;County-level coverage among females aged 11-17 varied from 6.8-29.0%. For females aged 18-26, coverage varied from 1.9%-23.8%. Aggregated to the state level, these values translate to indirect state estimates of 15.5% and 11.4%, respectively; both of which fall within the confidence intervals for the direct estimates of HPV vaccine coverage in Texas (Females 11-17: 17.7%, 95% CI: 13.6, 21.9; Females 18-26: 12.0%, 95% CI: 6.2, 17.7).;Small area estimation has great potential for informing policy, program development and evaluation, and the provision of health services. Harnessing the flexibility of multilevel, unit-level SAE to estimate HPV vaccine coverage among females aged 11-26 in Texas counties, I have provided (1) practical guidance on how to conceptualize and conduct modelbased SAE, (2) a robust framework that can be applied to other health outcomes or geographic levels of aggregation, and (3) HPV vaccine coverage data that may inform the development of health education programs, the provision of health services, the planning of additional research studies, and the creation of local health policies.
机译:卫生部门,研究机构,政策制定者和卫生保健提供者通常对了解其客户/选民的健康状况很感兴趣。这些实体没有足够的财力或行政资源来直接进入社区并进行健康评估,因此常常依靠基于人群的调查中的数据来提供所需的信息。不幸的是,由于样本量和隐私问题,这些调查无法很好地完成工作。小面积估计(SAE)技术在这种情况下具有巨大的潜力,但由于缺乏对应用其方法的认识和信心,在公共卫生中未得到充分利用。这项研究的目标是使用清晰的,基于示例的学习方法,使广大读者可以访问基于模型的SAE。具体来说,我们应用多层次,单位层次的SAE原理来描述德克萨斯州11-26岁女性中HPV疫苗覆盖率的地理分布;多层次(3级:个人,县,公共卫生区域)随机拦截logit模型HPV疫苗接种(≥1剂量的GardasilRTM)的接种量符合2008行为危险因素监测系统(结果和1级协变量)和许多次要来源(组级协变量)的数据。抽样权重按比例(级别1)或构造(级别2和3)构建,并在每个级别中合并。使用最终模型的回归系数(和标准误差),我为正态分布的每个回归系数模拟了10,000个数据集,并将其应用于logit模型,以估算每个县和各个人口统计子组中的HPV疫苗覆盖率。为简单起见,我仅提供县的覆盖率估计值(和95%的置信区间)。; 11-17岁女性的县级覆盖率从6.8-29.0%不等。对于18-26岁的女性,覆盖率介于1.9%-23.8%之间。汇总到州一级,这些值分别转换为间接状态估计值15.5%和11.4%。两者都在直接估计德克萨斯州HPV疫苗覆盖率的置信区间内(女性11-17:17.7%,95%CI:13.6,21.9;女性18-26:12.0%,95%CI:6.2,17.7 );小面积估算在为政策,计划制定和评估以及提供卫生服务提供信息方面具有巨大潜力。我利用多层次,单位级别的SAE的灵活性来估算德克萨斯州11-26岁女性的HPV疫苗覆盖率,我提供了(1)关于如何概念化和进行基于模型的SAE的实用指南,(2)一个强大的框架(3)HPV疫苗覆盖率数据可为健康教育计划的制定,健康服务的提供,其他研究计划的制定以及当地健康政策的制定提供信息。 。

著录项

  • 作者

    Eberth, Jan Marie.;

  • 作者单位

    The University of Texas School of Public Health.;

  • 授予单位 The University of Texas School of Public Health.;
  • 学科 Biology Biostatistics.;Psychology Behavioral Sciences.;Health Sciences Epidemiology.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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