Skip to main content

Table 3 Multivariable analysis of determinants of costs and QALYs

From: Health and economic effects on patients with type 2 diabetes mellitus in the long run: predictions for the Chilean population

Covariate

Dependent variable: Cost (USD)

Model GLM family(gamma) link (log)

Dependent variable: QALYs

OLS

β Coefficient (SE)*

P-value

β Coefficient (SE)

p-value

Time from diagnosis to death (years)

0.0521803 (0.0003126)

 < 0.0001

0.7937634 (0.0002864)

 < 0.0001

Age (years)

− 0.011889 (0 0.0003061)

 < 0.0001

− 0.0043533 (0.0002901)

 < 0.0001

Glycosylated hemoglobin A1c (%)

0.0383068 (0.0010653)

 < 0.0001

− 0.0117412 (0.001081)

 < 0.0001

Systolic Blood Pressure (mmHg)

0.0019214 (0.0001038)

 < 0.0001

− 0.0018695 (0.0001039)

 < 0.0001

Body Mass Index (kg/m2)

0.0015645 (0.0004381)

 < 0.0001

− 0.0020601 (0.0004291)

 < 0.0001

LDL Cholesterol (mg/dL)

0.0028845 (0.000072)

 < 0.0001

− 0.0006334 (0.0000675)

 < 0.0001

  1. *Coefficient of the GLM model must be interpreted as a semi-elasticity, i.e. for each unit increase in the independent variable, the dependent variable increases (if positive coefficient) β (*100) percent. GML: Generalized linear Models; OLS: Ordinary Least Squares; SE: Standard Error
Back to article page

Diabetology & Metabolic Syndrome

ISSN: 1758-5996

Contact us