Skip to main content

Table 4 Dependent and independent values for logistic regression models

From: Comparing patient care seeking pathways in three models of hospital and TB programme collaboration in China

 

Indicators

Category

values

Treatment delay

0 = ≤ 1 week; 1 = > 1 week

Medical expenditure

0 = ≤ 3000 RMB; 1 = > 3000 RMB

Independent variables

Gender:

0 = female; 1 = male

Age group:

0 = ≤24 years; 1 = 25-59 years; 2 = ≥60 years

Marital status

0 = single; 1 = married

Profession:

0 = farmer; 1 = else

Annual per capita income:

0 = the lower 50% income group; 1 = the higher 50 % income

If having medical insurance:

0 = no; 1 = yes

Hospitalisation:

0 = no; 1 = yes

Number of health providers visited:

0 = ≤2 times; 1 = >2 times

If first contact as a primary care facility:

0 = no; 1 = yes

If visited a general hospital or specialist hospital:

0 = no; 1 = yes

Group:

0 = the integrated model; 1 = the dispensary model; 2 = the specialist model

Diagnostic delays*:

0 = ≤ 2 weeks; 1 = > 2 weeks

 

Treatment delays*:

0 = ≤ 1 week; 1 = > 1 week

  1. * Only in the regression model of medical expenditure.