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. 2022 Jul 21;20:35. doi: 10.1186/s12962-022-00368-x

Table 2.

The influence of economic levels of cross-regional medical regions

Variable N % Total medical expenses (reference = low) Actual medical insurance payment level (reference = high) The group with high out-of-pocket expenses
Middle High Low Middle
P AOR (95% CI) P AOR (95% CI) P AOR (95% CI) P AOR (95% CI) P AOR (95% CI)
Age
 < 60 9819 39.6 0.909 1.004 (0.940, 1.073) 0.006 1.098* (1.028, 1.174) < 0.001 1.627* (1.516, 1.745) < 0.001 1.582* (1.478, 1.693) 0.001 1.157* (1.060, 1.264)
 ≥ 60 (reference) 14,984 60.4
Insurance type
 Urban and rural residents 8281 33.4 0.173 0.954 (0.891, 1.021) 0.124 0.947 (0.883, 1.015) < 0.001 6.138* (5.672, 6.643) < 0.001 2.656* (2.452, 2.877) < 0.001 1.377* (1.258, 1.508)
 Urban workers (reference) 16,522 66.6
Economic level
 High 15,776 63.6 < 0.001 1.407* (1.286, 1.539) < 0.001 2.932* (2.644, 3.250) < 0.001 2.603* (2.333, 2.904) < 0.001 1.263* (1.151, 1.385) < 0.001 3.620* (2.982, 4.394)
 Middle 5974 24.1 < 0.001 0.787* (0.712, 0.869) 0.185 1.081 (0.963, 1.212) < 0.001 3.166* (2.803, 3.577) < 0.001 1.688* (1.518, 1.878) < 0.001 2.261* (1.834, 2.788)
 Low (reference) 3053 12.3

This table contained three adjusted logistic regression models and “*” indicated significant at the 0.01 level