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Table 5 Marginal willingness-to-pay estimates

From: Discrete-choice modelling of patient preferences for modes of drug administration

 

MNL model

HMNL model

EMNL model

MMNL model

LCMNL model

Variables:

\( \widehat{\mathrm{MWTP}}\left(95\%CI\right) \)

\( \widehat{\mathrm{MWTP}} \)(95% CI)

\( \widehat{\mathrm{MWTP}}\left(95\%CI\right) \)

\( \widehat{\mathrm{MWTP}}\left(95\%CI\right) \)

\( \widehat{\mathrm{MWTP}}\left(95\%CI\right) \)

INTRAVENOUS

−2.12 (−4.09, −0.16)*

1.17 (−0.74, 3.08)

3.43 (1.73, 5.14)*

2.31 (−2.86, 7.49)*

5.85 (−50.38, 62.07)

SUBCUTANEOUS

2.35 (1.37, 3.32)*

2.60 (1.58, 3.63)*

0.23 (−0.52, 1.03)

−8.33 (−10.31, −6.34)*

2.42 (−7.76, 12.59)

INTRAMUSCULAR

−17.43 (−18.65, −16.22)*

−19.19 (−20.41, −17.97)*

−26.08 (−27.15, −25.01)*

−9.39 (−11, −7.77)*

−40.63 (−72.47, −8.80)*

DOSFREQ

−0.08 (−0.09, −0.08)*

−0.09 (−0.094, −0.085)*

−0.12 (−0.13, −0.12)*

−0.10 (−0.10, −0.09)*

−0.23 (−0.30, −0.17)*

NONCLINICAL_SELF

21.45 (20.51, 22.39)*

22.41 (21.48, 23.35)*

26.35 (25.55, 27.16)*

31.01 (29.87, 32.14)*

28.57 (21.40, 35.74)*

NONCLINICAL_SUPV

−15.45 (−16.06, −14.83)*

−15.74 (−16.36, −15.11)*

−15.46 (−15.95, −14.96)*

−19.83 (−20.64, −19.02)*

−15.53 (−26.04, −5.03)*

DDA_MODERATE1

50.09 (48.91, 51.27)*

49.40 (48.15, 50.65)*

50.14 (49.02, 51.27)*

58.88 (57.65, 60.11)*

84.71 (67.59, 101.82)*

DDA_MODERATE2

−34 (−35.15, −32.85)*

−35.24 (−36.51, −33.97)*

−38.86 (−39.89, −37.83)*

−43.13 (−44.35, −41.92)*

−58.84 (−72.28, −45.40)*

DDA_SEVERE

−66.36 (−67.74, −64.99)*

−68.64 (−70.14, −67.14)*

−71.55 (−72.80, −70.30)*

−73.64 (−75.15, −72.14)*

−94.50 (−117.91, −71.10)*

RAE_MODERATE

22.06 (21.20, 22.92)*

22.64 (21.74, 23.53)*

26.37 (25.59, 27.14)*

30.32 (29.23, 31.41)*

23.49 (17.29, 29.70)*

RAE_SEVERE

−94.65 (−96.64, −92.65)*

−94.77 (−96.85, −92.70)*

−94.75 (−96.58, −92.93)*

−116.08 (−117.65, −114.51)*

−130.32 (−165.12, −95.53)*

  1. Notes: The 95% CIs above are “standard or classical confidence intervals” calculated using 100 bootstrapped replicates of MWTP. This is because accurate, less-erratic and reliable “bootstrap confidence intervals” require replications in the order of 1000, which would have been computationally demanding and time consuming [32]. The confidence intervals reported are therefore not exact. * indicates confidence interval does not include zero