Literature DB >> 26424160

Constructing a representative sample of out-of-care HIV patients from a representative sample of in-care patients.

Qiang Xia1, Alan Neaigus2, Marie A Bernard2, Shavvy Raj-Singh2, Colin W Shepard2.   

Abstract

Individuals infected with HIV who are out of care are at a higher risk of HIV-related morbidity and mortality. It has been difficult to recruit a representative sample of out-of-care patients for epidemiological studies. Using a novel weighting method, we constructed a representative sample of out-of-care HIV patients from a representative sample of in-care patients. In-care patients were weighted based on the probability of receiving care during the study period and the probability of selection to participate in the study, and out-of-care patients were represented by those who were previously out of care and recently returned. The method can be used in other patient populations, if every patient in the population has a known, non-zero probability of receiving care and a known, non-zero probability of participating in the study.
© The Author(s) 2016.

Entities:  

Keywords:  HIV; epidemiological studies; out of care; probability sample; statistical weighting

Mesh:

Year:  2015        PMID: 26424160     DOI: 10.1177/0956462415608334

Source DB:  PubMed          Journal:  Int J STD AIDS        ISSN: 0956-4624            Impact factor:   1.359


  2 in total

1.  Reduction in Gaps in High CD4 Count and Viral Suppression Between Transgender and Cisgender Persons Living With HIV in New York City, 2007-2016.

Authors:  Qiang Xia; Selam Seyoum; Ellen W Wiewel; Lucia V Torian; Sarah L Braunstein
Journal:  Am J Public Health       Date:  2018-11-29       Impact factor: 9.308

2.  Continuum of Care Among People Living with Perinatally Acquired HIV Infection in New York City, 2014.

Authors:  Qiang Xia; Dipal Shah; Balwant Gill; Lucia V Torian; Sarah L Braunstein
Journal:  Public Health Rep       Date:  2016 Jul-Aug       Impact factor: 2.792

  2 in total

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