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 5 Sensitivity analysis of the models in Table 3

Variable	M/N	(P25, P75)/%	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)
Length of stay	5	(2, 10)	< 0.001	1.247* (1.228, 1.268)	< 0.001	1.593* (1.564, 1.622)	< 0.001	0.997* (0.992, 1.002)	< 0.001	1.010* (1.006, 1.015)	< 0.001	1.113* (1.106, 1.119)
Age
< 60	6761	54.3	< 0.001	1.596* (1.445, 1.764)	< 0.001	2.278* (2.002, 2.592)	0.274	1.742 (1.572, 1.931)	< 0.001	1.684* (1.528, 1.856)	0.217	0.913 (0.791, 1.055)
≥ 60 (reference)	5696	45.7	< 0.001	1.596* (1.445, 1.764)	< 0.001	2.278* (2.002, 2.592)	0.274	1.742 (1.572, 1.931)	< 0.001	1.684* (1.528, 1.856)	0.217	0.913 (0.791, 1.055)
Insurance type
Urban and rural residents	4696	37.7	0.003	0.866* (0.787, 0.953)	< 0.001	0.627* (0.554, 0.709)	< 0.001	3.707* (3.341, 4.113)	< 0.001	1.735* (1.567, 1.922)	< 0.001	1.392* (1.214, 1.595)
Urban workers (reference)	7761	62.3	0.003	0.866* (0.787, 0.953)	< 0.001	0.627* (0.554, 0.709)	< 0.001	3.707* (3.341, 4.113)	< 0.001	1.735* (1.567, 1.922)	< 0.001	1.392* (1.214, 1.595)
Distance from the insured region
Short	7960	63.9	0.664	1.027 (0.916, 1.152)	< 0.001	1.517* (1.305, 1.763)	< 0.001	5.971* (5.270, 6.766)	< 0.001	3.346* (2.997, 3.735)	0.003	2.574* (2.132, 3.108)
Middle	1474	11.8	< 0.001	0.603* (0.515, 0.705)	< 0.001	0.554* (0.441, 0.697)	0.016	0.857 (0.710, 1.033)	0.010	1.210 (1.047, 1.400)	< 0.001	0.576* (0.403, 0.824)
Long (reference)	3023	24.3

This table contained the results of three models after adding the length of stay variable and “*” indicated significant at the 0.01 level

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