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. 2022 Mar 4;63(5):1152–1163. doi: 10.1111/epi.17202

TABLE 2.

Results from the mixed multinominal logit regression model illustrating the strength of different attributes on parental preferences for SDDs

Attribute Level SDD preference
Log‐odds CI p
Introduction to use Directly Reference NA NA
After consulting a neurologist 1.75 1.38 to 2.12 <.001 a
After a 2‐week test period in a clinical setting −1.80 −2.17 to −1.43 <.001 a
Alert Alarms for major seizures only Reference NA NA
Alarms for major and minor seizures 1.31 .97 to 1.65 <.001 a
Alarms for major seizures, silent notifications for minor seizures .86 .49 to 1.23 <.001 a
Interface None Reference NA NA
Ability to view measurements at the time of alarm 1.03 .68 to 1.37 <.001 a
Continuous ability to view measurements with option to look back in time .81 .52 to 1.10 <.001 a
Interaction None Reference NA NA
Video image during an alarm .75 .40 to 1.10 <.001 a
Continuous video images with sound 1.90 1.43 to 2.36 <.001 a
Continuous video images with sound and the option to talk back via the device 1.97 1.56 to 2.39 <.001 a
Personalization Fixed settings Reference NA NA
Personal feedback on right and wrong alarms to adjust the algorithm .80 .46 to 1.14 <.001 a
The device trains itself, without personal interference .32 .02 to .62 .037 a

The table shows the output from the mixed multinominal logit regression model. The log‐odds represent the effect of the attributes’ levels relative to the mean effect of the different levels of the attribute in the respondent sample. A positive output for a level illustrates a positive effect on parental preferences, compared to the first attribute's level. The p‐value represents the statistical significance of the attribute's level effect (either positive or negative) relative to the reference level. To obtain the relative likelihood of choosing for a hypothetical scenario, one needs to sum the log‐odds of the levels of interest and take the exponential (elog odds = odds ratio).

Abbreviations: CI, confidence interval; NA, not applicable; SDD, seizure detection device.

a

Statistically significant.