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Table 7 Binary logistic regression analysis of predictors of health services utilization of the residents with “Hukou” in the past month

From: Analysis of health service utilization of migrants in Beijing using Anderson health service utilization model

Variables in the equation Model II
B (SE) Wald OR [95%-CI] P-value
Predisposing variables
Female (Ref = Male) 0.273 (0.124) 4.859 1.314 [1.031, 1.674] 0.028
Age (Ref = 15~ 24)
 25~ 34 0.287 (0.319) 0.809 1.333 [0.713, 2.491] 0.368
 35~ 44 0.548 (0.371) 2.178 1.730 [0.835, 3.581] 0.140
 45~ 54 0.327 (0.372) 0.773 1.387 [0.669,2.873] 0.379
  > 55 0.812 (0.381) 4.556 2.253 [1.069, 4.751] 0.033
Marital status (Ref = Single)
 Married −0.492 (0.285) 2.976 0.611 [0.349, 1.069] 0.085
 Divorced/Widowed 0.034 (0.375) 0.008 1.035 [0.496, 2.158] 0.928
Employment status (Ref = Formal work)
 Retirement 0.229 (0.169) 1.827 1.257 [0.902, 1.752] 0.177
 Informal work −0.241 (0.153) 2.469 0.786 [0.582, 1.061] 0.116
Need variables
 Having chronic disease (Ref = No) 0.615 (0.145) 18.060 1.849 [1.393, 2.455] 0.000
The degree of the symptom in the past month (Ref = Mild)
 Moderate 0.709 (0.130) 29.959 2.032 [1.576, 2.619] 0.000
 Severe 1.755 (0.236) 55.430 5.786 [3.645, 9.184] 0.000
Self-evaluation general health status (Ref = Good)
 Moderate −0.405 (0.135) 9.095 0.667 [0.512, 0.868] 0.003
 Poor −0.481 (0.207) 5.409 0.618 [0.412, 0.927] 0.020
 Constant −0.486 (0.256) 3.602 0.692 0.037
  1. Abbreviation: B: Unstandardized regression coefficient, SE Standard error, OR Odds ratio, CI Confidence interval, Ref Reference category
  2. Model II: Binary logistic regression analysis of predictors of health services utilization of the residents with “Hukou” in the past month