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

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abstract: We developed a computer-based utility assessment tool to assess the preferencesof patients towards HIV -related health states and identify risk behaviors (bothsexual and drug related) of the patient being interviewed. The reliability ofthe computer-based interview was assessed through comparison withperson-to-person interviews.Our pilot study included 22 patients. Twelve of these patients were alsointerviewed by the research assistants in person-to-person interviews. Theagreement between the person-to-person and computer-based interviews wasexcellent (3 discrepancies of 180 compared answers), and the majority of thepatients preferred to use the computer to disclose sensitive informationregarding risk behaviors. Our study suggests that assessment of patientpreferences and risk factors can be performed reliably through a computer-basedinterview.

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AbstractWe developed a computer-based utility asse We developed a computer-based utility assessment tool to assess the preferencesof patients towards HIV -related health states and identify risk behaviors (bothsexual and drug related) of the patient being interviewed. The reliability ofthe computer-based interview was assessed through comparison withperson-to-person interviews.Our pilot study included 22 patients. Twelve of these patients were alsointerviewed by the research assistants in person-to-person interviews. Theagreement between the person-to-person and computer-based interviews wasexcellent (3 discrepancies of 180 compared answers), and the majority of thepatients preferred to use the computer to disclose sensitive informationregarding risk behaviors. Our study suggests that assessment of patientpreferences and risk factors can be performed reliably through a computer-basedinterview. eliably through a computer-basedinterview.
AuthorGillian D. S  +, Ers  +, Douglas K. Owens  +, N. Padian  +, A. Cardinalli  +, A. Sullivan  +, and Robert F. Nease Jr.  +
Bibtypetechreport  +
InstitutionKnowledge Systems, AI Laboratory  +
KeyKSL-94-34  +
MonthNovember  +
NoteUpdated November 1994. Medical Computer Science  +
NumberKSL-94-34  +
TagComputer science  +
TitleA Computer-Based Interview to Identify HIV Risk Behaviors and to Assess Patient Preferences for HIV-Related Health States  +
Tr idKSL-94-34  +
Year1994  +
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