Objectives: To evaluate factors that predict HIV testing using the model of
health care utilisation as its conceptual framework and to analyse some of
the factors that encourage or inhibit seeking an HIV test in this populati
on.
Method: A cross sectional questionnaire study in two Genito-Urinary Medicin
e (GUM) clinics in central Scotland. A final sample of 195 represented a 91
% response rate. Participants were categorised by their HIV testing status
(already tested, planning to be tested, no intention to seek testing).
Results: The 'already tested' and 'planning to be tested' groups were combi
ned as there were no significant differences on reported risk behaviours. A
nalysis therefore compared two groups those 'testing' (n = 66) and 'not tes
ting' (n = 129). 67% of those not tested for HIV reported at least one HIV
risk factor. Perceived risk was the strongest predictor of HIV testing usin
g our model. Perception of risk and actual risk were not correlated. Those
not seeking testing endorsed less benefits of testing and more denial of th
e need to be tested. Same day testing and testing without an appointment we
re endorsed as factors to promote testing.
Conclusion: To encourage people who have high risk factors to access HIV te
sting, programmes should: (1) highlight the benefits of testing which would
be lost if people do not test, eg. effective drug treatments (2) increase
the range of HIV testing services available leg. same day testing). Further
more, studies to determine the main predictors of perceived risk are needed
if we are to increase testing in relevant populations.