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Behavioural Surveillance Surveys - The Wisdom of Whores

Behavioural Surveillance Surveys - The Wisdom of Whores

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It is not possible to validate data on sexual<br />

practices by direct observation. It is, however,<br />

possible to triangulate them with data from<br />

other sources to see if the picture presented<br />

is consistent and credible. An increasing<br />

number <strong>of</strong> studies comparing self-reported<br />

sexual behavior with biological markers <strong>of</strong><br />

sexual activity such as pregnancy, STIs and<br />

HIV infection show that at an individual level<br />

there is quite a good match between the<br />

reported risk behavior and biological indicators<br />

<strong>of</strong> risk.<br />

Still, some misreporting <strong>of</strong> risk behavior<br />

undoubtedly occurs, and true levels <strong>of</strong> risk<br />

may well be underreported, especially by<br />

women among whom extramarital sex is more<br />

heavily stigmatized than it is among men.<br />

Those tracking the HIV epidemic may, however,<br />

be less concerned with the exact level <strong>of</strong> risk<br />

behavior in a population than they are with<br />

trends in those behaviors over time. Even<br />

where there is misreporting, repeat behavioral<br />

surveys will show changes in trends over time,<br />

provided that the magnitude or direction <strong>of</strong><br />

misreporting do not change significantly.<br />

Linking behavioral and serological data for<br />

better explanatory power<br />

In developing the framework for second<br />

generation HIV surveillance, much discussion<br />

went in to the issue <strong>of</strong> whether serological<br />

and behavioral information could routinely be<br />

collected from the same individuals. This is<br />

a common practice in specialized research<br />

studies. However it is logistically and ethically<br />

complex. Generally, HIV surveillance is<br />

conducted using blood left over from other<br />

clinical procedures. It is stripped <strong>of</strong> all<br />

identifying markers, so that a test result<br />

can not be traced back to an individual.<br />

This method allows blood to be tested without<br />

the consent <strong>of</strong> the person it came from, so<br />

eliminating refusal bias. Linking behavioral<br />

data to HIV status changes that equation.<br />

It may yield extra information about the<br />

relationship between risk behavior and<br />

infection, but since consent must be sought,<br />

it also increases the likelihood that participants<br />

will refuse to give blood. Those who refuse<br />

may have different risk pr<strong>of</strong>iles from those<br />

who accept — people who refuse are generally<br />

thought to have higher risk pr<strong>of</strong>iles - and<br />

the results <strong>of</strong> surveillance will be distorted. In<br />

addition, there is an ethical obligation to <strong>of</strong>fer<br />

counseling and voluntary HIV testing to all<br />

those in the sample. Because <strong>of</strong> this, it is not<br />

generally recommended that HIV surveillance<br />

and behavioral surveillance be conducted<br />

using the same individuals.<br />

Another consideration is that the populations<br />

traditionallly used in sentinel surveillance for<br />

HIV - pregnant women at antenatal clinics and<br />

clients at STI clinics - have by definition had<br />

unprotected sex in the recent past. If their risk<br />

pr<strong>of</strong>ile changes - they abstain or switch to<br />

consistent condom use for example - they will<br />

drop out <strong>of</strong> the population attending the<br />

clinics. Trends in risk behavior among those<br />

still attending the clinics will be virtually<br />

impossible to interpret.<br />

8<br />

C H A PTER 1 B EHAV I OR A L S U R V EI L L A NC E S U R V EY S

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