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A computer-based interview to identify hiv risk behaviors and to assess patient preferences for hiv-related health states
Abstract We 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.
Author Gillian D. S +, Ers +, Douglas K. Owens +, N. Padian +, A. Cardinalli +, A. Sullivan +, Robert F. Nease Jr. +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-94-34  +
Modification dateThis property is a special property in this wiki. 1 May 2009 14:05:18  +
Month November +
Note Updated November 1994. Medical Computer Science +
Number KSL-94-34  +
Tag Computer science +
Title A Computer-Based Interview to Identify HIV Risk Behaviors and to Assess Patient Preferences for HIV-Related Health States  +
Tr id KSL-94-34  +
Year 1994  +
Categories Technical Report, Publication, KSL Technical Report
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