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 3 The influence of distances from the insured region

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	6761	54.3	< 0.001	1.373* (1.249, 1.510)	< 0.001	1.413* (1.284, 1.554)	< 0.001	1.748* (1.577, 1.937)	< 0.001	1.675* (1.520, 1.845)	0.064	0.886 (0.779, 1.007)
≥ 60 (reference)	5696	45.7	< 0.001	1.373* (1.249, 1.510)	< 0.001	1.413* (1.284, 1.554)	< 0.001	1.748* (1.577, 1.937)	< 0.001	1.675* (1.520, 1.845)	0.064	0.886 (0.779, 1.007)
Insurance type
Urban and rural residents	4696	37.7	0.255	0.948 (0.865, 1.039)	< 0.001	0.838* (0.764, 0.919)	< 0.001	3.698* (3.334, 4.103)	< 0.001	1.745* (1.575, 1.932)	< 0.001	1.378* (1.220, 1.555)
Urban workers (reference)	7761	62.3	0.255	0.948 (0.865, 1.039)	< 0.001	0.838* (0.764, 0.919)	< 0.001	3.698* (3.334, 4.103)	< 0.001	1.745* (1.575, 1.932)	< 0.001	1.378* (1.220, 1.555)
Distance from the insured region
Short	7960	63.9	0.378	0.952 (0.853, 1.062)	0.086	0.102 (0.986, 1.231)	< 0.001	5.976* (5.275, 6.771)	< 0.001	3.314* (2.969, 3.698)	< 0.001	1.882* (1.598, 2.217)
Middle	1474	11.8	< 0.001	0.498* (0.429, 0.578)	< 0.001	0.424* (0.362, 0.498)	0.116	0.861 (0.714, 1.038)	0.022	1.184 (1.024, 1.368)	< 0.001	0.545* (0.405, 0.734)
Long (reference)	3020	24.3

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

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