The influence of cross-regional medical treatment on total medical expenses, medical insurance payments, and out-of-pocket expenses of patients with malignant tumors in Chinese low-income areas

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		The group with high out-of-pocket expenses
			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	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)
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	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)
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

ISSN: 1478-7547