Conventional and chained standard gambles in the assessment of coronary heart disease prevention and treatment. Canadian Collaborative Cardiac Assessment Group

Med Decis Making. 1999 Apr-Jun;19(2):149-56. doi: 10.1177/0272989X9901900205.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Angina Pectoris / complications
  • Angina Pectoris / psychology*
  • Angina Pectoris / therapy*
  • Case-Control Studies
  • Choice Behavior*
  • Coronary Disease / etiology*
  • Coronary Disease / prevention & control*
  • Cost-Benefit Analysis
  • Cross-Sectional Studies
  • Discriminant Analysis
  • Female
  • Health Status*
  • Humans
  • Hyperlipidemias / complications
  • Hyperlipidemias / diet therapy*
  • Hyperlipidemias / psychology*
  • Male
  • Middle Aged
  • Primary Prevention / economics
  • Primary Prevention / methods
  • Quality-Adjusted Life Years*
  • Reproducibility of Results
  • Risk-Taking
  • Surveys and Questionnaires / standards*
  • Time Factors