Table 7. Effect of basic medical insurance on health services utilisation.
Propensity Score Matching | Coarsened Exact Matching | |||||||
UEBMI | Uninsured | χ2/t statistics | P value | UEBMI | Uninsured | χ2/t statistics | P value | |
Panel A - Urban Employee Basic Medical Insurance | ||||||||
Any outpatient visit in the past 2 weeks | 8.44 | 3.80 | 8.79 | 0.003 | 5.76 | 3.23 | 6.21 | 0.013 |
Outpatient visit rate in the past 2 weeks | 17.93 | 7.38 | 2.28 | 0.023 | 9.37 | 5.84 | 1.80 | 0.072 |
Any hospitalisation in the past year | 5.49 | 3.80 | 1.49 | 0.222 | 4.94 | 3.38 | 2.61 | 0.106 |
Hospitalisation rate in the past year | 7.17 | 4.43 | 1.42 | 0.155 | 5.95 | 3.84 | 1.68 | 0.094 |
N | 474 | 474 | 1580 | 651 | ||||
Panel B - Urban Resident Basic Medical Insurance | ||||||||
Any outpatient visit in the past 2 weeks | 5.13 | 3.64 | 2.24 | 0.134 | 5.48 | 3.83 | 2.34 | 0.126 |
Outpatient visit rate in the past 2 weeks | 8.77 | 5.79 | 1.42 | 0.156 | 10.17 | 6.76 | 1.37 | 0.170 |
Any hospitalisation in the past year | 3.48 | 2.65 | 0.86 | 0.354 | 3.91 | 2.70 | 1.75 | 0.186 |
Hospitalisation rate in the past year | 3.81 | 2.98 | 0.81 | 0.416 | 4.07 | 2.93 | 1.15 | 0.252 |
N | 649 | 649 | 639 | 888 |
Note: Chi-square test was used to testify the significant difference for any outpatient visit in the past 2 weeks and any hospitalisation in the past year. T-test was used to testify the significant difference for outpatient visit rate in the past 2 weeks and hospitalisation rate in the past year.