Table 9.
The effects of Urban-rural Residents Medical Insurance Integration on frequency of health care utilization using PSM-DID analysis
| Variables | Number of outpatients visits last month | Number of inpatients last year | ||||
|---|---|---|---|---|---|---|
| β | 95% CI | β | 95% CI | |||
| Total population | ||||||
| year 2015 | 0.17 | −0.07 | 0.41 | 0.27*** | 0.10 | 0.43 |
| Integration | −0.04 | −0.35 | 0.27 | −0.22*** | − 0.35 | −0.10 |
| year 2015 × Integration | 0.96* | −0.07 | 1.99 | 0.27 | −0.30 | 0.85 |
| Urban | ||||||
| year 2015 | −0.18 | −0.60 | 0.24 | 0.44* | −0.01 | 0.90 |
| Integration | 0.10 | −0.51 | 0.72 | −0.11 | −0.33 | 0.10 |
| year 2015 × Integration | 0.62 | −0.91 | 2.16 | −0.20 | −1.12 | 0.73 |
| Rural | ||||||
| year 2015 | 0.27* | −0.02 | 0.55 | 0.26** | 0.05 | 0.47 |
| Integration | −0.13 | −0.47 | 0.21 | −0.32*** | − 0.47 | −0.16 |
| year 2015 × Integration | 1.29* | −0.07 | 2.66 | 0.43 | −0.30 | 1.17 |
| Poor | ||||||
| year 2015 | 0.05 | −0.38 | 0.49 | 0.22 | −0.06 | 0.50 |
| Integration | −0.25 | −0.75 | 0.26 | −0.33*** | − 0.53 | −0.13 |
| year 2015 × Integration | 2.59* | −0.08 | 5.26 | 1.46* | −0.20 | 3.11 |
| Medium | ||||||
| year 2015 | 0.26 | −0.19 | 0.71 | 0.18 | −0.16 | 0.52 |
| Integration | −0.24 | −0.62 | 0.14 | −0.09 | − 0.34 | 0.15 |
| year 2015 × Integration | 0.57 | −0.47 | 1.61 | 0.02 | −0.64 | 0.69 |
| Rich | ||||||
| year 2015 | 0.06 | −0.34 | 0.45 | 0.41*** | 0.16 | 0.66 |
| Integration | 0.26 | −0.40 | 0.91 | −0.26*** | − 0.43 | −0.09 |
| year 2015 × Integration | −0.08 | −1.16 | 1.00 | −0.18 | −1.01 | 0.65 |
β, coefficients; CI, confidence interval; PSM-DID, propensity score matching combined with difference-in-differences
*, P < 0.1; **, P < 0.05; ***, P < 0.01