Skip to main content

Table 2 Comparison of valuation of health states between the chronic disease groups and the no chronic disease group taking into account health state descriptors and covariates

From: Do chronic disease patients value generic health states differently from individuals with no chronic disease? A case of a multicultural Asian population

Health States

Diabetes (n = 102)

Rheumatism (n = 162)

Hypertension (n = 145)

Heart diseases (n = 44)

Lung diseases (n = 44)

No chronic disease (n = 651)

All health states1

 

  Mean (SD)

43.6 (30.0)

43.4 (30.6)

44.4 (30.0)

43.1 (28.7)

40.6 (29.5)

43.9 (30.6)

  Mean difference (95% CI)2,3

1.6 (−1.2, 4.3)

0.4 (−2.0, 2.8)

0.7 (−1.7, 3.1)

4.6 (0.4, 8.9)*

−2.5 (−6.2, 1.2)

-

Non-severe health states1,4

 

  Mean (SD)

71.6 (18.8)

71.3 (20.0)

71.2 (19.7)

69.8 (16.8)

69.0 (22.1)

72.7 (19.3)

  Mean difference (95% CI)2,3

1.0 (−2.5, 4.6)

−0.3 (−3.4, 2.9)

−1.0 (−4.3, 2.3)

2.6 (−2.4, 7.6)

−2.6 (−9.0, 3.8)

-

Severe health states1,4

 

  Mean (SD)

31.4 (25.4)

31.9 (26.6)

33.6 (26.5)

33.7 (26.0)

28.7 (23.6)

31.5 (25.8)

  Mean difference (95% CI)2,3

1.8 (−1.2, 4.7)

0.7 (−1.9, 3.3)

1.3 (−1.2, 3.9)

5.4 (0.7, 10.1)*

−2.4 (−6.1, 1.2)

-

  1. 1The study included 42 EQ-5D-3L health states, not including perfect health, unconscious and dead states. The perfect health state of EQ-5D-3L was assigned default value of 100 points on the visual analogue scale.
  2. 2Difference: mean scores of participants with chronic diseases minus mean scores of participants with no chronic disease.
  3. 3Using ordinary least square regression model adjusted for health state descriptors, disutility due to severe problems, ethnicity, gender, age, marital status, education level, religion and house type (see Methods section).
  4. 4EQ-5D-3L health states with at least one domain at severity level 3 are considered as ‘severe’ health states. Remaining health states are considered as ‘non-severe’ health states.
  5. *P-value <0.05.