Using DHS to Identify Sites for HIV Prevention Trials
Recruiting high-risk, HIV-negative participants is challenging for HIV prevention trials. This study aimed to 1) identify and characterize subsets of high-risk women based on responses to demographic and psychosocial questions from the AIDS Indicator Survey (AIS) and 2) develop a rapid, inexpensive...
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Published in | African population studies Vol. 28; no. 2; pp. 904 - 916 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Ghana
Union for African Population Studies
2014
African Population Studies |
Subjects | |
Online Access | Get full text |
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Summary: | Recruiting high-risk, HIV-negative participants is challenging for HIV
prevention trials. This study aimed to 1) identify and characterize
subsets of high-risk women based on responses to demographic and
psychosocial questions from the AIDS Indicator Survey (AIS) and 2)
develop a rapid, inexpensive tool for site identification. We developed
a latent class model (LCM), hypothesizing that AIS respondents could be
grouped by responses to psychosocial indicators, and that these latent
classes would vary by HIV status, socio-demographic, and other
indicators. We tested our model on women respondents from the Tanzania
2003 AIS Survey, and replicated it in several other populations. LCM
produced four classes of women who significantly varied by psychosocial
indicators and HIV status. Geographic differences in HIV prevalence and
class composition were observed. Our approach has the potential to
provide a more systematic, inexpensive and rapid strategy to identify
HIV prevention trial sites. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0850-5780 2308-7854 |
DOI: | 10.11564/28-0-544 |