Iachan Ronaldo, Johnson Christopher H, Harding Richard L, Kyle Tonja, Saavedra Pedro, Frazier Emma L, Beer Linda, Mattson Christine L, Skarbinski Jacek
ICF International, Inc., Calverton, MD, USA.
Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Open AIDS J. 2016 Aug 19;10:164-81. doi: 10.2174/1874613601610010164. eCollection 2016.
Health surveys of the general US population are inadequate for monitoring human immunodeficiency virus (HIV) infection because the relatively low prevalence of the disease (<0.5%) leads to small subpopulation sample sizes.
To collect a nationally and locally representative probability sample of HIV-infected adults receiving medical care to monitor clinical and behavioral outcomes, supplementing the data in the National HIV Surveillance System. This paper describes the sample design and weighting methods for the Medical Monitoring Project (MMP) and provides estimates of the size and characteristics of this population.
To develop a method for obtaining valid, representative estimates of the in-care population, we implemented a cross-sectional, three-stage design that sampled 23 jurisdictions, then 691 facilities, then 9,344 HIV patients receiving medical care, using probability-proportional-to-size methods. The data weighting process followed standard methods, accounting for the probabilities of selection at each stage and adjusting for nonresponse and multiplicity. Nonresponse adjustments accounted for differing response at both facility and patient levels. Multiplicity adjustments accounted for visits to more than one HIV care facility.
MMP used a multistage stratified probability sampling design that was approximately self-weighting in each of the 23 project areas and nationally. The probability sample represents the estimated 421,186 HIV-infected adults receiving medical care during January through April 2009. Methods were efficient (i.e., induced small, unequal weighting effects and small standard errors for a range of weighted estimates).
The information collected through MMP allows monitoring trends in clinical and behavioral outcomes and informs resource allocation for treatment and prevention activities.
美国普通人群的健康调查不足以监测人类免疫缺陷病毒(HIV)感染情况,因为该疾病的患病率相对较低(<0.5%),导致亚人群样本量较小。
收集接受医疗护理的HIV感染成年人的全国和地方代表性概率样本,以监测临床和行为结果,补充国家HIV监测系统中的数据。本文描述了医疗监测项目(MMP)的样本设计和加权方法,并提供了该人群规模和特征的估计值。
为了开发一种获得护理人群有效、代表性估计值的方法,我们实施了一种横断面三阶段设计,使用规模概率抽样方法,先抽取23个司法管辖区,然后抽取691个机构,再抽取9344名接受医疗护理的HIV患者。数据加权过程遵循标准方法,考虑每个阶段的选择概率,并对无应答和多重性进行调整。无应答调整考虑了机构和患者层面的不同应答情况。多重性调整考虑了对多个HIV护理机构的就诊情况。
MMP采用了多阶段分层概率抽样设计,在23个项目区域中的每一个以及全国范围内大致自我加权。该概率样本代表了2009年1月至4月期间估计的421186名接受医疗护理的HIV感染成年人。方法是有效的(即对于一系列加权估计,诱导出小的、不等的加权效应和小的标准误差)。
通过MMP收集的信息有助于监测临床和行为结果的趋势,并为治疗和预防活动的资源分配提供信息。