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. 2019 Jul 11;13:1093–1110. doi: 10.2147/PPA.S203775

Table 7.

Random parameters logit regression results: self-injection experience subgroups (N=323)

Attribute Preference weight 95% confidence interval
No self-injection experience subgroup
Skin sensor 0.755** 0.535 0.975
Control of the speed of injection 0.555** 0.361 0.749
Step-by-step, on-screen instructions in real time 0.372** 0.204 0.540
Injection date reminder 0.446** 0.254 0.638
Electronic log 0.529** 0.346 0.712
Large grip size −0.153 −0.474 0.169
Out-of-pocket cost £0 3.758** 3.024 4.492
£15 3.123** 2.513 3.733
£30 2.488** 2.002 2.973
£50 1.641** 1.320 1.961
£90 −0.053** −0.063 −0.043
£125 −1.535** −1.835 −1.235
£150 −2.594** −3.100 −2.087
£250 −6.828** −8.161 −5.494
Constant for standard disposable self-injection device −0.486 −1.360 0.389
Self-injection experience subgroup
Skin sensor 0.679** 0.382 0.976
Control of the speed of injection 0.470** 0.222 0.717
Step-by-step, on-screen instructions in real time 0.278** 0.072 0.484
Injection date reminder 0.778** 0.526 1.029
Electronic log 0.461** 0.237 0.685
Large grip size −0.536** −0.871 −0.201
Out-of-pocket cost £0 6.007** 4.757 7.257
£15 4.992** 3.953 6.031
£30 3.977** 3.149 4.804
£50 2.623** 2.077 3.169
£90 −0.085** −0.102 −0.067
£125 −2.454** −2.964 −1.943
£150 −4.146** −5.009 −3.283
£250 −10.914** −13.186 −8.643
Constant for standard disposable self-injection device 1.882** 0.615 3.148

Notes: All variables, with the exception of out-of-pocket cost, were dichotomous and effects-coded. Cost was included in the model as the interaction of continuous cost and the natural log of income. The preference weights in the table above have been created using the estimated coefficient for cost. A dummy-coded variable for self-injection experience was interacted with the main variables to model the subgroups. The parameters were modeled with normally distributed random parameters, assumed to be the same across the self-injection experience subgroups. Additionally, we included an error component to better accommodate the opt-out bias that could be caused by the standard device alternative. **P≤0.01.