Table 4. Multinomial conditional logit regression illustrating influence of attributes on utility in the antifungal prophylaxis scenario.
Entire Cohort; n = 79 (95% CI) | Parents; n = 50 (95% CI) | HCP; n = 29 (95% CI) | |
Route of Administration | |||
One oral OD | 0.26* (0.11,0.42) | 0.21* (0.02,0.39) | 0.40* (0.12,0.68) |
One oral BID | −0.04 (−0.20,0.12) | −0.01 (−0.21,0.18) | −0.13 (−0.43,0.16) |
One IV OD | 0.02 (−0.13,0.18) | −0.04 (−0.23,0.15) | 0.20 (−0.07,0.48) |
One IV BID | −0.25 (−0.39, −0.08) | −0.15 (−0.33,0.04) | −0.47* (−0.76, −0.16) |
Chance of Infection | −13.03* (−16.01,−10.05) | −12.72* (−16.32,−1.73) | −14.44* (−19.87,−9.01) |
Chance of Death | −46.66* (−52.42,−40.91) | −41.31* (−48.14,−34.60) | −60.07* (−71.01,−46.40) |
Chance of a Side Effects | −2.65* (−3.65,−1.66) | −2.96* (−4.18,−1.73) | −2.00* (−3.74,−0.26) |
Cost per 28 Days of Treatment(hundreds $CDN) | −0.02* (−0.2,−0.02) | −0.014* (−.02, −.01) | −0.03* (−.04, −.0.02) |
Alternative Specific Constant for Prophylaxis | −0.58* (−0.90,−0.26) | −0.41* (0.80,0.02) | −0.98* (−1.56, −0.40) |
Pseudo R2 | 0.24 | 0.22 | 0.30 |
Significant at 5% level. Table represents β coefficients (standard error) and P values from multinomial conditional logit regression. The regression coefficients for each attribute level represent the mean part-worth utility of that attribute level in the respondent sample. Pseudo R2 reflects model fit with higher pseudo R2 reflecting better fit.
Abbreviation: HCP – healthcare provider; CI – confidence interval; OD – once daily; BID – twice daily; IV - intravenous.