Disparities in economic burden for children with leukemia insured by resident basic medical insurance: evidence from real-world data 2015–2019 in Guangdong, China

Zhan, Chunwang; Wu, Zhiming; Yang, Lihua; Yu, Lihua; Deng, Jie; Luk, Kiuco; Duan, Chongyang; Zhang, Luwen

doi:10.1186/s12913-022-07564-8

Table 4 Multiple regression of factors influencing the total cost, reimbursement, drug cost and blood cost for children with leukemia

From: Disparities in economic burden for children with leukemia insured by resident basic medical insurance: evidence from real-world data 2015–2019 in Guangdong, China

Variable	Model 1: Total Cost				Model 2: Reimbursement				MODEL 3: Drug Cost				MODEL 4: Blood Products Cost
Variable	Beta	Exp(Beta)	S.E.	P-value	Beta	Exp(Beta)	S.E.	P-value	Beta	Exp(Beta)	S.E.	P-value	Beta	Exp(Beta)	S.E.	P-value
Disease type (Ref.ALL)
AML	0.400	1.492	0.080	0.000	0.220	1.246	0.100	0.022	0.670	1.954	0.110	0.000	1.000	2.718	0.100	0.000
Transplantation	1.240	3.456	0.120	0.000	1.040	2.829	0.140	0.000	1.380	3.975	0.150	0.000	1.430	4.179	0.140	0.000
Insurance type (Ref. OOP)
GZ-UBMI	0.480	1.616	0.160	0.003	0.090	1.094	0.170	0.607	0.550	1.733	0.290	0.057	0.310	1.363	0.260	0.246
GD-uncontracted	-0.640	0.527	0.160	0.000	-0.630	0.533	0.160	0.000	0.880	2.411	0.190	0.000	0.180	1.197	0.180	0.305
GD-contracted	0.410	1.507	0.120	0.001	-0.060	0.942	0.120	0.611	0.810	2.248	0.160	0.000	0.030	1.030	0.150	0.861
Other-uncontracted	-0.190	0.827	0.170	0.251	-0.290	0.748	0.170	0.087	0.640	1.896	0.300	0.031	0.360	1.433	0.270	0.185
Other-contracted	0.150	1.162	0.170	0.391	-0.220	0.803	0.170	0.203	0.340	1.405	0.210	0.102	0.260	1.297	0.200	0.183
Year (Ref. 2015)
2016	0.510	1.665	0.090	0.000	0.490	1.632	0.090	0.000	0.620	1.859	0.120	0.000	0.110	1.116	0.100	0.282
2017	0.410	1.507	0.090	0.000	0.350	1.419	0.090	0.000	0.030	1.030	0.120	0.787	0.010	1.010	0.100	0.908
2018	0.490	1.632	0.090	0.000	0.470	1.600	0.100	0.000	0.340	1.405	0.120	0.005	-0.110	0.896	0.110	0.319
2019	0.270	1.310	0.120	0.022	0.220	1.246	0.120	0.067	0.100	1.105	0.150	0.526	-0.300	0.741	0.140	0.031
Age (Ref. 0–5)
6–10	0.020	1.020	0.070	0.734	-0.010	0.990	0.070	0.904	0.120	1.127	0.090	0.215	0.280	1.323	0.080	0.001
11–15	0.270	1.310	0.080	0.001	0.200	1.221	0.080	0.012	0.380	1.462	0.100	0.000	0.480	1.616	0.090	0.000
Region (Ref. GD-DRP)
GD-other	0.120	1.127	0.140	0.383	-0.140	0.869	0.150	0.344	0.100	1.105	0.180	0.570	-0.370	0.691	0.170	0.031
GD-outside	-0.070	0.932	0.080	0.410	-0.320	0.726	0.170	0.055	0.050	1.051	0.100	0.647	-0.060	0.942	0.090	0.495
Hospital (Ref. Nanfang)
Zhujiang	0.620	1.859	0.080	0.000	0.740	2.096	0.080	0.000	1.010	2.746	0.100	0.000	0.970	2.638	0.090	0.000
Hukou (Ref. Urban)
Rural	-0.010	0.990	0.060	0.847	0.010	1.010	0.070	0.920	0.010	1.010	0.080	0.863	0.100	1.105	0.070	0.200
Sex (Ref. Male)
Female	0.020	1.020	0.060	0.785	0.010	1.010	0.060	0.910	0.030	1.030	0.080	0.732	-0.040	0.961	0.070	0.602

Beta, the regression coefficient of OLS model. Exp (Beta), coefficient transformed exponentially
SE standard error

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