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Relative risk of a shuffled deck: a generalizable logical consistency criterion for sample selection in health state

Benjamin M Craig1, Sulabha Ramachandran

  • 1University of Arizona College of Pharmacy, Tucson, AZ 85721, USA. craig@pharmacy.arizona.edu

Health Economics
|March 15, 2006
PubMed

Insights

Respondents in health state valuation studies can provide inconsistent rankings. A new statistical criterion identifies and removes "shuffled decks" to ensure accurate health valuation estimates.

Area of Science:

  • Health Economics
  • Biostatistics
  • Psychometrics

Background:

  • Health state valuation studies involve respondents ranking health states.
  • Logical inconsistencies can arise, particularly with 'shuffled decks' of cards.
  • Inconsistent responses can bias valuation estimates.

Purpose of the Study:

  • To introduce a novel statistical criterion for identifying and excluding logically inconsistent responses in health state valuation.
  • To ensure the integrity and accuracy of health state valuation estimates.
  • To provide a generalizable method applicable across various health state classifications and valuation techniques.

Main Methods:

  • Development of a logical consistency criterion based on the relative risk of a shuffled deck.
  • Application of the criterion to secondary data from 4048 US and 3395 UK respondents.
  • Utilized time trade-off and visual analog scale techniques for evaluating EQ-5D health states.

Main Results:

  • A small proportion of respondents (approx. 5% in the UK) exhibited shuffled decks.
  • Exclusion of these respondents significantly altered sample characteristics.
  • Mean value estimates for EQ-5D health states were notably impacted by the exclusion.

Conclusions:

  • The proposed logical consistency criterion is effective in identifying problematic respondents.
  • Excluding respondents with shuffled decks is crucial for unbiased health state valuation.
  • The criterion offers a robust method for improving the quality of health valuation data.

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