A computer-based interview to identify HIV risk behaviors and to assess patient preferences for HIV-related health states.

We developed a computer-based utility assessment tool to assess the preferences of patients towards HIV-related health states and identify risk behaviors (both sexual and drug related) of the patient being interviewed. The reliability of the computer-based interview was assessed through comparison with person-to-person interviews. Our pilot study included 22 patients. Twelve of these patients were also interviewed by the research assistants in person-to-person interviews. The agreement between the person-to-person and computer-based interviews was excellent (3 discrepancies of 180 compared answers), and the majority of the patients preferred to use the computer to disclose sensitive information regarding risk behaviors. Our study suggests that assessment of patient preferences and risk factors can be performed reliably through a computer-based interview.

Duke Scholars

Author Gillian Denise Sanders Schmidler Population Health Sciences