Making Treatment Decisions with HIV Infection

Barry D. Rosenfeld, Mary White and Steven D. Passik

Medical Decision Making, 1997, vol. 17, issue 3, 307-314

Abstract: The importance of understanding patient preferences in making treatment decisions is widely recognized. This pilot study utilized a forced-choice paired-comparison method in which 28 ambulatory HIV-infected patients were given a computer-generated presentation of all possible pairs of eight different treatment options for their disease (FDAapproved medications, experimental and alternative treatments, no medication). Preferences were analyzed using binary multidimensional scaling analyses to determine the utility of paired-comparison models for the study of treatment-decision making and to identify factors influencing patient decision making. Results indicated that a three-dimensional model provided the best fit for the data. One dimension correlated with medications that raise CD4+ lymphocyte counts (r = 0.92, p

Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:17:y:1997:i:3:p:307-314

DOI: 10.1177/0272989X9701700307

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