Selective versus universal antenatal HIV testing: epidemiological and implementational factors in policy choice

AIDS. 1999 Feb 4;13(2):271-8. doi: 10.1097/00002030-199902040-00016.

Abstract

Objective: To develop an epidemiological basis for economic analyses of selective and universal antenatal screening strategies, and to apply it to the UK.

Methods: The prevalence of higher-risk women and the prevalence of undiagnosed infection within groups of high-risk and low-risk women was estimated from surveillance and survey data. The numbers of women tested and the numbers of infected women who would be identified by universal and selective strategies were then calculated under a range of assumptions about the identification of higher-risk women and acceptance of testing.

Results: In higher-risk women estimated prevalence of undiagnosed infection was between 0.06% and 2.8%, comparing well with independent estimates. In low-risk women, estimates ranged from 0.014% in London to 0.002% in the rest of the UK. If uptake among the high-risk women was the same in selective and universal strategies, universal testing would entail testing between 7100 (London) and 50000 (rest of England) additional women to detect an additional case. However, if selective screening identified only 60% of those at high risk and achieved only 60% acceptance compared with a universal programme, then universal screening would require only 1150 additional women to identify one additional case in London, compared to 6470 in Scotland and 13140 in the rest of the UK.

Conclusions: Overall prevalence does not form an adequate basis for determining screening strategy. Instead, universal screening can be justified either because the prevalence of HIV in the low-risk group is sufficiently high, or because it achieves sufficiently higher uptake relative to selective screening among those at higher risk.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • HIV Infections / diagnosis*
  • HIV Infections / epidemiology
  • Health Policy*
  • Humans
  • Prevalence
  • Risk Factors