A probability sample for monitoring the HIV-infected population in care in the U.S. and in selected states.

A probability sample for monitoring the HIV-infected population in care in the U.S. and in selected states.
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DOI:
10.2174/1874613601206010067
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发表时间:
2012
期刊:
The open AIDS journal
影响因子:
--
通讯作者:
Bozzette SA
Bozzette SA
中科院分区:
其他
文献类型:
--
作者:
Frankel MR;McNaghten A;Shapiro MF;Sullivan PS;Berry SH;Johnson CH;Flagg EW;Morton S;Bozzette SA

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随着时间的推移,艾滋病毒流行的流行病学和临床变化对公共卫生监测提出了挑战,以监测影响疾病进展和艾滋病毒传播的行为和临床因素。医疗监测项目是一个补充监测项目,旨在提供关于在国家一级接受护理的艾滋病毒感染者的临床状况、护理、结果和行为的代表性、基于人口的数据。我们描述了一个三阶段的概率抽样方法,提供了国家和国家一级的代表性估计。在第一阶段,20个州,其中包括6个单独资助的市/县,采用概率比例大小(PPS)抽样。在第二阶段还使用PPS抽样,以选择参与26个资助地区的设施。在第三阶段,患者从抽样机构中随机选择,其方式是最大限度地提高州或市/县中每位患者的总体选择概率。MMP的采样方法可以适用于国家或国家以下各级的其他研究项目,以监测感兴趣的人群或评估结果并护理一系列特定疾病或病症。
Epidemiologic and clinical changes in the HIV epidemic over time have presented a challenge to public health surveillance to monitor behavioral and clinical factors that affect disease progression and HIV transmission. The Medical Monitoring Project (MMP) is a supplemental surveillance project designed to provide representative, population-based data on clinical status, care, outcomes, and behaviors of HIV-infected persons receiving care at the national level. We describe a three-stage probability sampling method that provides both nationally and state-level representative estimates. In stage-I, 20 states, which included 6 separately funded cities/counties, were selected using probability proportional to size (PPS) sampling. PPS sampling was also used in stage-II to select facilities for participation in each of the 26 funded areas. In stage-III, patients were randomly selected from sampled facilities in a manner that maximized the possibility of having overall equal selection probabilities for every patient in the state or city/county. The sampling methods for MMP could be adapted to other research projects at national or sub-national levels to monitor populations of interest or evaluate outcomes and care for a range of specific diseases or conditions.