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Table 2 Multivariate logistic regression results for propensity scores

From: Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis

 

Estimate

Standard Error

Odds Ratio (95% Confidence Interval)

Age (years)

 17–45

Reference

 45–59

−0.404

0.015

0.668 (0.648, 0.688)**

  > 59

1.103

0.017

3.014 (2.913, 3.118)**

Gender

 Male

Reference

 Female

−0.608

0.012

0.545 (0.532, 0.558)**

Workplaces

 Enterprise

1.066

0.452

2.905 (1.198, 7.043)*

 Individual

1.887

0.453

6.597 (2.717, 16.022)**

State-owned workplaces

−6.350

0.449

0.002(< 0.001, 0.004)**

Other workplaces

Reference

Wages

 Low

Reference

 Medium

2.352

0.026

10.504 (9.991, 11.043)**

 High

3.256

0.016

25.946 (25.126, 26.794)**

  1. Note: *p < 0.05, **p < 0.01