Skip to main content
. 2020 May 6;22(8):1311–1319. doi: 10.1038/s41436-020-0809-2

Table 2.

Model estimation results (pediatric discrete choice experiment).

Attributes and personal characteristics Main effects model Model including characteristics
Mean SD Mean SD
Chance of having a genetic condition (%) 0.01599a 0.02508a 0.01570a 0.02549a
Severity of the condition (moderate) 0.37130a 0.04901 0.35943a 0.03815
Severity of the condition (severe) 0.80142a 0.59507a 0.80357a 0.65083a
Availability of preventive or treatment options (improve condition) 1.00341a 0.10757 1.00345a 0.25353
Availability of preventive or treatment options (cure/prevent condition) 1.34510a 0.99157a 1.33651a 0.98354a
Improving the process of medical care (somewhat likely) 0.50200a 0.02369 0.48779a 0.07495
Improving the process of medical care (very likely) 0.65578a 0.63296a 0.66276a 0.57324a
Disclosure of test results to others −0.14570b 0.05948b −0.13879b 0.05667b
Disclosure of secondary findings to you 0.29280a 0.77554a 0.26783a 0.73807a
Cost of testing to you −0.00028a 0.00011a −0.00028a 0.00011a
Genomic sequencing constant −0.97032a 3.39515a −11.1476a 0.18166
Age −0.02792c
Higher education 0.79242c
Attitudes toward genomics 0.29037a
Log likelihood function −3832.70 −3817.53
McFadden pseudo R-squared 0.35 0.35
Akaike information criterion 7707.00 7699.10

aStatistical significance at 1%.

bStatistical significance at 5%.

cStatistical significance at 10%.

Regression coefficients indicate the marginal effect of each attribute (or attribute level) on the utility for genomic sequencing. Positive (or negative) mean estimates indicate, on average, a positive (or negative) effect on utility. Standard deviation estimates describe the heterogeneity of preferences among study participants.