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The Context of HIV Risk Among Drug Users and Their Sexual Partners

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subgroup relevant measure, a topic discussed later in this chapter as<br />

important in studying contextual effects.<br />

Laumann <strong>and</strong> colleagues (1993) have applied a social network <strong>and</strong><br />

statistical strategy to investigate the undercount in <strong>HIV</strong>/AIDS prevalence<br />

estimates. <strong>The</strong>ir strategy is an application <strong>of</strong> multiplicity sampling, <strong>and</strong> it<br />

is essentially useful as a proxy method for counting cases <strong>of</strong> a<br />

phenomenon too rare to measure by using normal area probability<br />

sampling procedures. This technique takes into account the respondent’s<br />

probability <strong>of</strong> selection into the sample <strong>and</strong> the number <strong>and</strong><br />

characteristics <strong>of</strong> infected individuals identified in the network.<br />

Demographic characteristics <strong>of</strong> network cases from the multiplicity<br />

sample then are compared to those in <strong>of</strong>ficial counts to estimate the<br />

location(s) <strong>and</strong> rate(s) <strong>of</strong> undercounting. Such a method, combined with<br />

what is known about geographic concentration <strong>of</strong> <strong>HIV</strong>/AIDS cases, might<br />

provide important insights not only into changing rates <strong>and</strong> undercounts<br />

but networks <strong>of</strong> infection diffusion as well. It is an example <strong>of</strong> how the<br />

requirements for valid <strong>and</strong> reliable <strong>HIV</strong>/AIDS reports might lead to<br />

improvisation <strong>of</strong> existing methods while preserving rigorous st<strong>and</strong>ards<br />

for reliability <strong>and</strong> validity in measurement.<br />

In that same article, Laumann <strong>and</strong> colleagues (1993) identified sources <strong>of</strong><br />

bias or error in AIDS case reporting <strong>and</strong> specifically cited those factors<br />

they inferred as biasing against report <strong>of</strong> middle-class white infection at<br />

the various reporting levels. <strong>The</strong>y cite an estimated undercount <strong>of</strong> up to<br />

30 percent in 1989 across the three levels <strong>of</strong> reporting that comprise the<br />

Centers for Disease Control <strong>and</strong> Prevention’s (CDC’s) case counts<br />

(Laumann et al. 1993).<br />

Record bias <strong>of</strong> a different kind appeared in the author’s study <strong>and</strong><br />

concerned the failure to report AIDS infection on African-American<br />

females’ death certificates in the mid-1980s. Deaths from pneumonia<br />

were reported for three female IDUs, <strong>and</strong> a fourth death was reported<br />

from acute renal failure with notations about narcotics use. <strong>The</strong> women<br />

were not tested for <strong>HIV</strong>/AIDS from 1985 to 1987; consequently, none <strong>of</strong><br />

these deaths was ascribed to <strong>HIV</strong> infection or AIDS. Of course, failure to<br />

report an AIDS/<strong>HIV</strong> diagnosis on a death certificate also occurred before<br />

CDC’s modifications <strong>of</strong> the AIDS case definition (Centers for Disease<br />

Control 1987, 1992).<br />

<strong>The</strong> issues <strong>of</strong> question wording, question order, question context, <strong>and</strong><br />

question format are discussed next, <strong>and</strong> all have repercussions for data<br />

193

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