Skip to main content

Table 3 Summary of the variables in these binary logistic regressions

From: Study on the equity of medical services utilization for elderly enrolled in different basic social medical insurance systems in an underdeveloped city of Southwest China

Variables

Type of variable

Measurement

Dependent variables

 utilization of outpatient services

Categorical

No = 0; Yes = 1

 utilization of hospitalization services

Categorical

No = 0; Yes = 1

Independent variables

 gender

Categorical

Male = 1; Female = 2

 age

Categorical

60~ 74 = 1;75~ = 2

 education

Categorical

No formal education = 1; Primary school = 2; Junior high school or higher = 3

 chronic diseases

Categorical

No = 0; Yes = 1

 two-week prevalencea

Categorical

No = 0; Yes = 1

 household income

Categorical

Grade I = 1; Grade II = 2;

Grade III = 3; Grade IV = 4; Grade V = 5

  1. aonly in the binary logistic regression for hospitalization