Table 2.
Regression estimates for part-worth utility
Attribute and level | Part-worth utility, mean | Part-worth utility, SD | Part-worth utility < 0 |
---|---|---|---|
Proportion of individuals identified | |||
40/100 | −2.29* | 2.24* | 84.7% |
60/100 | Reference | - | - |
80/100 | 1.14* | 0.89* | 10.1% |
90/100 | 1.66* | 1.94* | 19.6% |
Number of tests | 0.05 | 0.40* | 45.3% |
Total wait time (Months) | −0.15* | 0.16* | 83.3% |
Cost ($) | −0.0011* | - | - |
Opt out of testing | −7.02* | - | - |
Opt in for testing | 0 (assumed) | 7.90* | - |
Part-worth utilities represent the marginal preference-based utilities associated with each attribute level. A positive mean estimate indicates that, on average, patients expressed positive personal utility for the attribute. A negative estimate indicates that, on average, the attribute caused disutility, or a reduction in well-being. Part-worth utilities can be summed to indicate the overall preference-based utility of a good and the ratio of any two part-worth utility estimates shows the marginal rate of substitution between attributes. The estimated SD characterizes the heterogeneity of individual part-worth preference-based utility values in the sampled population
SD standard deviation
*p < 0.05