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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