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. 2023 Oct 3;103:11643. doi: 10.2340/actadv.v103.11643

Table III.

Possible significant predictors of the total willingness to pay for vitiligo

Variable Total WTPa
aORs (95% CI) p-value
DLQI 1.008 (0.965–1.053) 0.731
Education
 Primary school or below 1 [reference] NA
 Middle-school 2.694 (0.732–9.924) 0.136
 High-school 2.477 (0.668–9.189) 0.175
 Technical college 3.452 (0.946–12.579) 0.061
 Bachelor’s degree or above 4.768 (1.303–17.444) 0.018
Annual household income (CNY)
 < 80,000 1 [reference] NA
 80,000–160,000 1.685 (0.974–2.912) 0.062
 160,000–240,000 2.656 (1.344–5.249) 0.005
 240,000–320,000 4.745 (1.477–15.226) 0.009
 > 320,000 6.246 (2.421–16.119) 0.000
Disease duration
 < 6 weeks 1 [reference] NA
 6 weeks–0.5 year 2.751 (0.973–7.776) 0.056
 0.5–1 year 5.629 (1.990–15.927) 0.001
 1–3 years 5.966 (2.079–17.116) 0.001
 3–5 years 5.124 (1.502–17.462) 0.009
 > 5 years 2.416 (0.803–7.272) 0.117
Four limbs
 Absent 1 [reference] NA
 Present 2.010 (1.076–3.751) 0.029
Hands and feet
 Absent 1 [reference] NA
 Present 1.175 (0.691–1.996) 0.551
Hair/eyebrows/eyelashes
 Absent 1 [reference] NA
 Present 2.186 (1.200–3.983) 0.011
Skin transplantation
 Absent 1 [reference] NA
 Present 5.894 (2.034–17.064) 0.001
a

Ordinal logistic regression models were constructed with the total WTP for vitiligo (< 3,000 CNY, < 6,000 CNY, < 10,000 CNY, < 30,000 CNY or > 30,000 CNY) as the ordinal dependent (outcome) variable. The model included the potential confounding variables. The independent (explanatory) variable was DLQI, education, annual household income, disease duration, the site of lesions, and the treatment modality received. There were no significant interactions in the multivariate models.

DLQI: Dermatology Life Quality Index; aOR: adjusted odds ratio; NA: not applicable; WTP: Willingness to Pay.