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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