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. 2024 Apr 11;17(5):537–550. doi: 10.1007/s40271-024-00692-9

Table 3.

Mixed multinomial logit model estimates

Attributes and levels Mixed multinomial logit Mixed multinomial logit (with systematic preference heterogeneity)
Mean SD Mean SD
COEFF SE 95% CI COEFF SE 95% CI COEFF SE 95% CI COEFF SE 95% CI
ASC1 − 1.06*** 0.15 − 1.36 to − 0.76 − 1.07*** 0.15 − 1.37 to − 0.77
ASC2 − 1.13*** 0.15 − 1.42 to − 0.84 − 1.14*** 0.15 − 1.44 to − 0.85
ASC3 0.40*** 0.13 0.14 to 0.66 0.40*** 0.13 0.14 to 0.67
Modality
 Postal letter Reference
 E-mail 1.61*** 0.14 1.33 to 1.90 1.09*** 0.15 0.79 to 1.39 2.45*** 0.40 1.66 to 3.24 1.10*** 0.16 0.80 to 1.41
 Robot phone call 0.67*** 0.12 0.43 to 0.91 1.40*** 0.14 1.13 to 1.68 1.06*** 0.40 0.28 to 1.85 1.40*** 0.14 1.12 to 1.68
 Phone call with a person 1.18*** 0.13 0.93 to 1.43 1.50*** 0.13 1.23 to 1.76 0.90** 0.40 0.11 to 1.69 1.45*** 0.13 1.19 to 1.71
 Automated text message 2.42*** 0.18 2.07 to 2.78 1.53*** 0.15 1.24 to 1.83 2.72*** 0.48 1.78 to 3.66 1.52*** 0.15 1.23 to 1.81
Timing
 1 month before the appointment Reference
 1 week before the appointment 0.87*** 0.09 0.69 to 1.05 0.76*** 0.09 0.58 to 0.93 1.03*** 0.28 0.48 to 1.57 0.75*** 0.09 0.57 to 0.93
 Less than 3 days before the appointment 0.99*** 0.11 0.77 to 1.20 1.04*** 0.10 0.85 to 1.24 0.81** 0.32 0.19 to 1.43 1.05*** 0.10 0.85 to 1.25
Content
 Basic details Reference
 Basic details + clinician name 0.12 0.08 − 0.03 to 0.27 0.34** 0.14 0.07 to 0.60 − 0.03 0.26 − 0.55 to 0.48 0.34** 0.14 0.07 to 0.61
 Basic details + appointment cost 0.13* 0.07 − 0.02 to 0.28 0.60*** 0.11 0.39 to 0.82 0.52** 0.26 0.01 to 1.04 0.60*** 0.11 0.39 to 0.82
Interactivity
 No ability to cancel or modify the appointment Reference
 Ability to cancel or modify the appointment 1.36*** 0.11 1.14 to 1.57 1.48*** 0.09 1.30 to 1.66 1.28*** 0.34 0.62 to 1.95 1.50*** 0.09 1.31 to 1.68
Systematic preference heterogeneity
 Age × phone call with a person − 0.015* 0.008 − 0.03 to 0.0002
 Age × automated/robot phone call − 0.011 0.008 − 0.027 to 0.005
 Age × e-mail 0.001 0.008 − 0.015 to 0.016
 Age × automated text message − 0.010 0.009 − 0.028 to 0.009
 Age × 1 week before appointment 0.877D–04 0.006 − 0.107D–01 to 0.109D–01
 Age × less than 3 days before appointment 0.003 0.006 − 0.01 to 0.015
 Age × basic details + clinician name –0.0004 0.005 − 0.011 to 0.01
 Age × basic details + appointment cost − 0.009* 0.005 − 0.02 to 0.001
 Age × ability to cancel or modify the appointment 0.004 0.007 − 0.009 to 0.018
 Male × phone call with a person − 0.027 0.212 − 0.442 to 0.387
 Male × automated robot phone call − 0.024 0.231 − 0.477 to 0.428
 Male × e-mail 0.329 0.223 − 0.109 to 0.767
 Male × automated text message 0.386 0.260 − 0.124 to 0.896
 Male × 1 week before appointment − 0.267* 0.153 − 0.567 to 0.033
 Male × less than 3 days before appointment 0.018 0.180 − 0.334 to 0.37
 Male × basic details + clinician name 0.223 0.148 − 0.066 to 0.512
 Male × basic details + appointment cost 0.198 0.149 − 0.095 to 0.491
 Male × ability to cancel or modify the appointment −  0.215 0.193 −  0.594 to 0.164
 Missed × phone call with a person −  0.570** 0.247 −  1.055 to −  0.086
 Missed × automated/robot phone call 0.301 0.258 −  0.205 to 0.807
 Missed × e-mail 0.316 0.252 − 0.178 to 0.809
 Missed × automated text message − 0.204 0.293 − 0.778 to 0.37
 Missed × 1 week before appointment −0.073 0.172 − 0.41 to 0.263
 Missed × less than 3 days before appointment 0.199 0.199 − 0.192 to 0.589
 Missed × basic details + clinician name 0.183 0.166 − 0.143 to 0.509
 Missed × basic details + appointment cost − 0.261 0.170 − 0.594 to 0.072
 Missed × ability to cancel or modify the appointment − 0.020 0.209 − 0.43 to 0.391
Model fit
 LL − 3434.12 − 3414.88
 AIC/N 1.69 1.69

AIC Akaike information criterion, ASC alternative specific constant, CI confidence interval, COEFF coefficient, LL log likelihood, N number of respondents, SD standard deviation, SE standard error, *significant at the 10% level; **significant at the 5% level; ***significant at the 1% level

Dummy coding was used for all attributes

For values indicated as nnnnn.D–xx or D+xx => multiply by 10 to − xx or + xx