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Table 6 Binary logistic regression analysis of predictors of health services utilization of migrants 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 I
B (SE) Wald OR [95%-CI] P-value
Predisposing variables
 Minorities (Ref = Han ethnic) −1.265 (0.403) 9.871 0.282 [0.128, 0.621] 0.002
Enabling variables
 Incoming (Ref = < 3000)
  3000~ 4999 −0.400 (0.211) 3.590 0.670 [0.443,1.014] 0.058
   > 5000 0.322 (0.276) 0.276 1.380 [0.804,2.370] 0.243
Need variables
 The degree of the symptom in the past month (Ref = Mild)
  Moderate 0.484 (0.197) 6.029 1.623 [1.103, 2.389] 0.014
  Severe 1.616 (0.364) 19.739 5.035 [2.468, 10.272] 0.000
  Constant −0.368 (0.176) 4.349 0.615 0.058
  1. Abbreviation: B: Unstandardized regression coefficient, SE Standard error, OR Odds ratio, CI Confidence interval, Ref Reference category
  2. Model I: Binary logistic regression analysis of predictors of health services utilization of migrants in the past month