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Table 5 Inter-temporal stability of CBC utilities over-time

From: Measuring preferences for analgesic treatment for cancer pain: How do African-Americans and Whites perform on choice-based conjoint (CBC) analysis experiments?

 

Overall

African-Americans

Whites

Dominant utility*

Sensitivity/ specificity†

Kappa (95% CI)

Odds ratio‡(95% CI)

Sensitivity/ specificity†

Kappa‡(95% CI)

Sensitivity/ specificity†

Kappa (95% CI)

% Relief with analgesics

0.88/0.40

0.17 (0.08, 0.25)

4.6 (1.9, 11.6)

0.62/0.46

0.04 (−0.10, 0.17)

0.97/0.34

0.22 (0.12, 0.33)

Side-effects type

0.78/0.59

0.13 (0.04, 0.22)

5.0 (1.6, 15.9)

0.86/0.58

0.24 (0.08, 0.39)

0.50/0.60

0.02 (−0.07, 0.10)

Type of analgesic

0.71/0.80

0.32 (0.17, 0.46)

10.0 (3.6, 27.6)

0.80/0.77

0.33 (0.13, 0.54)

0.64/0.83

0.29 (0.08, 0.51)

  1. *Dominant Utility is defined as a relative importance ranking of an attribute at T1 (baseline) of at least 50%.
  2. †Sensitivity is defined as the proportion of participants who ranked the same attribute high (either 1st or 2nd) at T2 (3-months) as the dominant attribute at Time 1; Specificity is defined as the proportion of participants who did not rank the given attribute high (either 1st or 2nd) at T2 of those who did not rank the given utility as dominant at T1.
  3. ‡The odds of the given utility to be ranked high (either 1st or 2nd) at T2 if it is the dominant utility at T1.
  4. Note: Very few participants had strong preferences associated with “out-of-pocket cost” and “severity of side-effects”, thus there was not enough data to evaluate the Inter-temporal stability of those preferences.
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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