Using Conjoint Analysis to Evaluate Health State Preferences
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I h q Informarrun Joumul. Vol. 33. pp. 849.858. l99Y Printed in the USA. A l l rights reserved.
USING CONJOINT ANALYSIS TO EVALUATE HEALTH STATE PREFERENCES* SHEKYI. L. SZEINRACH, PHD, RPH Professor of Pharmacy Practice and Administration, College of Pharmacy. The Ohio State University, Columbus. Ohio
JAMES H. BARNES,PHD Professor of Management and Marketing. School of Business Administration. University of Mississippi, University. Mississippi
WILLIAM F. MCGHAN,PHD Professor. Philadelphia College of Pharmacy and Science. Philadelphia. Pennsylvania
MATTHEW M. MURAWSKI, PHD Assistant Professor. Department of Pharmacy Practice, School of Pharmacy, I'urdue University. West I.afayette, Indiana
RON COREY,PHD, MBA Director. Economic Strategies, Global Business Management. Pharmacia & Upjohn. Bridgewater. New Jersey
Quality of life dimensions are important cwnsiderutions when patients evaluate p h a r m ceutical products with respect to persorid benefits. Traditionally, standard gamble, time trade-ofi und ruting scale techniques are used to obtain preference (utility) estimates f o r various quality of life dimensions. This study esuniines three objectives to determine the feasibilig of using conjoint anu1vsi.s to elicit patient preferences f o r n particular heulth state. For the jirst obje(.tive, patients with multiple inyelotnu were usked to select quality of life conditions f o r 18 hypotheticul prrtients with cuncer and to indicate which conditions were the easiest and hurdest to live with. Secxmd. patients were asked to rute severul cnncer-reluted and general symptoms using visuul analog scales. Third, comparisons were made between the two techniques to determine similarity and vulidity. Results revealed that conjoint nnalysis is useful f o r health-reluted quality qf life research, and that conjoint anulysis results cwnpure favorably with vcilues obtained from visual analog scales. Key Words: Health state preferences; Conjoint analysis: Visual analog scaling; Quality of life multiple myeloma
Pesented at the DIA Symposium "Quality of Life Evaluation." April 6-8. 1998, Hilton Head, South Carolina. Reprint address: Sheryl L. Szeinbach. PhD. RPh, Professor of Pharmacy and Administration. College of Pharmacy. The Ohio State University. Columbus, OH 43210-1291. E-mail: zbach(4'dendrite.phaacy.ohio-state.edu. *Support for this study was provided by a grant from Novartis.
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S. LA. Szeinbach, J. H . &irnes. W . F. McGlmn. M. M. Murawski, and R. Corey
INTRODUCTION UTILITY CAN BE DEFINED as the preference or desirability for a particular health state or health outcome. Utility values used in cost utility analysis studies are elicited from patients, physicians, and policy makers using a number of techniques based on decision theory. As an extension to decision theory, psychometric techniques employ the use of summated scales, indexes, profiles, and magnitude estimates to determine preference weights for quality of life dimension
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