title: Design and Weighting Methods for a Nationally Representative Sample of HIV-infected Adults Receiving Medical Care in the United States-Medical Monitoring Project.
abstract: 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.
authors.affiliation: ICF International, Inc., Calverton, MD, USA.
authors.forename: Ronaldo
authors.initials: R
authors.lastname: Iachan
authors.affiliation: 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.
authors.forename: Christopher H
authors.initials: CH
authors.lastname: Johnson
authors.affiliation: ICF International, Inc., Calverton, MD, USA.
authors.forename: Richard L
authors.initials: RL
authors.lastname: Harding
authors.affiliation: ICF International, Inc., Calverton, MD, USA.
authors.forename: Tonja
authors.initials: T
authors.lastname: Kyle
authors.affiliation: ICF International, Inc., Calverton, MD, USA.
authors.forename: Pedro
authors.initials: P
authors.lastname: Saavedra
authors.affiliation: 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.
authors.forename: Emma L
authors.initials: EL
authors.lastname: Frazier
authors.affiliation: 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.
authors.forename: Linda
authors.initials: L
authors.lastname: Beer
authors.affiliation: 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.
authors.forename: Christine L
authors.initials: CL
authors.lastname: Mattson
authors.affiliation: 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.
authors.forename: Jacek
authors.initials: J
authors.lastname: Skarbinski
keywords: HIV infection; Nonresponse; Probability sampling; Surveillance; Survey methodology; Weighting