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Table 3 Results of the Tobit regression analysis of the factors affecting on WTP per QALY values

From: An exploratory study to estimate cost-effectiveness threshold value for life saving treatments in western Iran

Explanatory variables Model A Model B Model C
β Coefficient β Coefficient β Coefficient
Age, year − 45.0 − 39.4 − 1.3
Sex (ref. male)
 Female 1510.5* 1126.4* 477.7*
Marital status (ref. single)
 Married 335.4 226.5 572.4
 Others 1717.6 479.8 1307.1
Education status (ref. academic degree)
 Illiterate 3351.5* 2162.5* 659.3
 Primary and secondary school − 260.8 − 497.9 − 812.9*
Health insurance coverage (ref. No.)
 Yes 842.9 992.6 − 16.1
Birth place (ref. rural)
 Urban 1398.4* 985.1* 488.2
Monthly income US$ (ref. less than 78)
 US$ 78 – 155 1060.5 506.4 338.9
 US$ 156–310 1849.9* 1064.3* 771.7*
 More than US$ 310 2864.8* 2094.6* 1388.0*
Having chronic disease (ref. no.)    
 Yes 71.9 418.1 37.1
Family member with chronic diseases such as cancer (ref.no.)
 Yes 670.5 348.3 399.8
Family member died in the last year (ref.no.)
 Yes 563.0 505.8 595.7
 LR chi2 [14] 46.9 38.0 31.0
 Prob > chi2  < 0.001  < 0.001 0.005
 Left-censored observations 296 296 80
 Uncensored observations 551 551 767
 Log likelihood − 5785.2 − 5691.8 − 7543.4
  1. Model A Dependent variable is WTP per QALY using EQ-5D-3L, Model B Dependent variable is WTP per QALY using VAS, Model C Dependent variable is WTP per QALY for family member
  2. *Significance at p < 0.05
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