Projected survival gains from revising state laws requiring written opt-in consent for HIV testing

J Gen Intern Med. 2011 Jun;26(6):661-7. doi: 10.1007/s11606-011-1637-5. Epub 2011 Feb 1.

Abstract

Background: Although the Centers for Disease Control and Prevention recommends HIV testing in all settings unless patients refuse (opt-out consent), many state laws require written opt-in consent.

Objective: To quantify potential survival gains from passing state laws streamlining HIV testing consent.

Design: We retrieved surveillance data to estimate the current annual HIV diagnosis rate in states with laws requiring written opt-in consent (19.3%). Published data informed the effect of removing that requirement on diagnosis rate (48.5% increase). These parameters then served as input for a model-driven projection of survival based on consent method. Other inputs included undiagnosed HIV prevalence (0.101%); and annual HIV incidence (0.023%).

Patients: Hypothetical cohort of adults (>13 years) living in written opt-in states.

Measurements: Life years gained (LYG).

Results: In the base-case, of the 53,036,383 adult persons living in written opt-in states, 0.66% (350,040) will be infected with HIV. Due to earlier diagnosis, revised consent laws yield 1.5 LYG per HIV-infected person, corresponding to 537,399 LYG among this population. Sensitivity analyses demonstrate that diagnosis rate increases of 24.8-72.3% result in 304,765-724,195 LYG. Net survival gains vanish if the proportion of HIV-infected persons refusing all testing in response to revised laws exceeds 18.2%.

Conclusions: The potential survival gains of increased testing are substantial, suggesting that state laws requiring opt-in HIV testing should be revised.

Publication types

  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • AIDS Serodiagnosis / legislation & jurisprudence*
  • Cohort Studies
  • Diagnostic Tests, Routine / methods
  • HIV Infections / diagnosis*
  • HIV Infections / mortality
  • Humans
  • Informed Consent / legislation & jurisprudence*
  • Models, Statistical*
  • Patient Acceptance of Health Care*
  • Predictive Value of Tests
  • State Government*
  • Survival Rate / trends