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The practicality and validity of directly elicited and SF‐36 derived health state preferences in patients with low back pain

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  • William Hollingworth
  • Richard A. Deyo
  • Sean D. Sullivan
  • Scott S. Emerson
  • Darryl T. Gray
  • Jeffrey G. Jarvik

Abstract

Recent research has derived preference scores from the SF‐36. We compare the practicality and construct validity of SF‐36 derived preference scores with directly elicited time trade off (TTO) and visual analogue scale (VAS) scores. In this observational study, low back pain (LBP), patients were asked to complete disease specific, generic (SF‐36), and health state preference (VAS and TTO) instruments. Baseline SF‐36 responses were converted to preference scores using six published algorithms. Response rates for the SF‐36 derived and TTO preference values were 354 of 379 (93%) and 303 of 379 (80%), respectively. Thirty patients were excluded from the TTO exercise because of difficulties comprehending the scaling task. Choice based methods (standard gamble, TTO) yielded higher and more uniform estimates of preference (0.77–0.79) than non‐choice based methods (VAS) (0.42–0.70). Directly elicited TTO values were variable and had less power to distinguish among patients with differing severity of LBP. All SF‐36 derived preferences exhibited a minimum threshold implying a potential floor effect for severely ill patients. SF‐36 derived preferences demonstrated good practicality and construct validity in this setting, however different methods will yield disparate estimates of marginal benefit. This emphasises the need for a standardised algorithm for deriving SF‐36 preference scores. Copyright © 2001 John Wiley & Sons, Ltd.

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  • William Hollingworth & Richard A. Deyo & Sean D. Sullivan & Scott S. Emerson & Darryl T. Gray & Jeffrey G. Jarvik, 2002. "The practicality and validity of directly elicited and SF‐36 derived health state preferences in patients with low back pain," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 71-85, January.
    • Handle: RePEc:wly:hlthec:v:11:y:2002:i:1:p:71-85
    DOI: 10.1002/hec.650
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    1. Joseph C. Gardiner & Marianne Huebner & James Jetton & Cathy J. Bradley, 2000. "Power and sample assessments for tests of hypotheses on cost‐effectiveness ratios," Health Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 227-234, April.
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    5. G. Ardine De Wit & Jan J.V. Busschbach & Frank Th. De Charro, 2000. "Sensitivity and perspective in the valuation of health status: whose values count?," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-126, March.
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    Cited by:

    1. Søgaard, Rikke & Kløjgaard, Mirja Elisabeth & Olsen, Jens, 2010. "Methods for cost-effectiveness evaluation alongside trials in spine surgery," DaCHE discussion papers 2010:5, University of Southern Denmark, Dache - Danish Centre for Health Economics.
    2. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    3. D. Stratmann‐Schoene & T. Kuehn & R. Kreienberg & R. Leidl, 2006. "A preference‐based index for the SF‐12," Health Economics, John Wiley & Sons, Ltd., vol. 15(6), pages 553-564, June.
    4. Stavros Petrou & Christine Hockley, 2005. "An investigation into the empirical validity of the EQ‐5D and SF‐6D based on hypothetical preferences in a general population," Health Economics, John Wiley & Sons, Ltd., vol. 14(11), pages 1169-1189, November.

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