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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.