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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