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Conventional and Chained Standard Gambles in the Assessment of Coronary Heart Disease Prevention and Treatment

Author

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  • Lyne Lalonde
  • Ann E. Clarke
  • Lawrence Joseph
  • Steven A. Grover

Abstract

The authors compared the abilities of descriptive and valuational health-related quality- of-life measures to discriminate healthy participants (n = 39) from those on diets for dyslipidemia (n = 35) and angina patients (n = 30). On the rating scale, the time tradeoff, and the General Health Perception subscale of the SF-36 Health Survey, the participants with dyslipidemia or angina reported lower mean scores than the healthy participants. No differences were detected between these groups on conventional or chained standard gamble (SG) scales. The distribution of the conventional and the chained SG scores was very skewed, with the vast majority of scores being equal or very close to the maximum score. It is concluded that in this study the discriminant ability of the chained SG was comparable to that of the conventional SG and inferior to descriptive and non-risky valuational scaling techniques. This may be explained by the distortion of probabilities, by a misunderstanding of the SG chained assessment, and by a strong certainty effect. Key words: dyslipidemia; coronary heart disease pre vention; angina; health-related quality of life; health status; SF-36 Health Survey; va lidity. (Med Decis Making 1999;19:149-156)

Suggested Citation

  • Lyne Lalonde & Ann E. Clarke & Lawrence Joseph & Steven A. Grover, 1999. "Conventional and Chained Standard Gambles in the Assessment of Coronary Heart Disease Prevention and Treatment," Medical Decision Making, , vol. 19(2), pages 149-156, April.
    • Handle: RePEc:sae:medema:v:19:y:1999:i:2:p:149-156
    DOI: 10.1177/0272989X9901900205
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    References listed on IDEAS

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    1. D Feeny & G Torrance, 1989. "Incorporating Utility-based Quality-of-life Assessment Measures in Clinical Trials: Two Examples," Centre for Health Economics and Policy Analysis Working Paper Series 12, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    2. Michael F. Drummond & Joseph Heyse & John Cook & Alistair McGuire, 1993. "Selection of End Points in Economic Evaluations of Coronary-heart-disease Interventions," Medical Decision Making, , vol. 13(3), pages 184-190, August.
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    1. Benjamin Littenberg & Steven Partilo & Anita Licata & Michael W. Kattan, 2003. "Paper Standard Gamble: The Reliability of a Paper Questionnaire to Assess Utility," Medical Decision Making, , vol. 23(6), pages 480-488, November.
    2. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ‐5D and SF‐6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884, September.
    3. McNamee, Paul, 2007. "What difference does it make? The calculation of QALY gains from health profiles using patient and general population values," Health Policy, Elsevier, vol. 84(2-3), pages 321-331, December.

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