Despite recommendations for the routine HIV testing of all sexually active individuals, a significant percentage of HIV-positive adults are unaware of their HIV status. Therefore, a number of strategies have been implemented to expand HIV testing, which in turn makes it necessary to develop tools for identifying patients with unknown HIV status. This study presents the results of an external validation of an electronic phenotyping algorithm for identifying HIV status and its application on a retrospective cohort in order to explore temporal trends of HIV knowledge status and associated factors.
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