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. 2018 May 25;26(9):1257–1265. doi: 10.1038/s41431-018-0161-z

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