The impact of economic factors on treatment results for tumor inpatients in the under-developed Western region of China

Figures & data

Table 1. Description of variable in Probit regression models.

	Variable	Description	Total	Lung cancer	Breast cancer	Esophageal cancer	Stomach cancer	HCC
	Effective rate	x = 1 if the cure result is cure or better, others = 0	0.830	0.873	0.954	0.882	0.846	0.797
	cure rate	x = 1 if the cure result is cure, others = 0	0.282	0.079	0.383	0.180	0.327	0.210
	Death rate	x = 1 if the cure result is death, others = 0	0.009	0.017	0.0059	0.0107	0.0166	0.0275
	uncured rate	x = 1 if the cure result is uncure, others = 0	0.024	0.031	0.007	0.028	0.055	0.061
CI-Expense	Total fee	total expense for inpatient	12,717	11,471	13,020	15,286	17,706	14,918
	Pay Out of Pocket	total expense for inpatient pay out of pocket	8566.2	7634	8502	10,553	12,173	9757
CI-Disease	female	x = 1 if sex is female, others = 0	0.511	0.285	0.985	0.205	0.243	0.190
	male*	x = 1 if sex is male, others = 0	0.489	0.715	0.015	0.795	0.757	0.810
	age <35*	x = 1 if age <35, others = 0	0.084	0.012	0.056	0.001	0.050	0.038
	age 35–44	x = 1 if age 35–44, others = 0	0.149	0.068	0.251	0.037	0.078	0.175
	age 45–54	x = 1 if age 45–54, others = 0	0.256	0.239	0.341	0.156	0.232	0.296
	age 55–64	x = 1 if age 55–64, others = 0	0.257	0.349	0.224	0.389	0.320	0.299
	age ≥65	x = 1 if age ≥65,others = 0	0.231	0.331	0.128	0.415	0.321	0.192
	without cc*	x = 1 if without complication & concomitant others = 0	0.522	0.276	0.510	0.498	0.446	0.201
	with cc	x = 1 if with complication & concomitant others = 0	0.235	0.281	0.265	0.262	0.266	0.254
	with serious cc	x = 1 if with serious complication & concomitant others = 0	0.243	0.443	0.225	0.239	0.288	0.544
	common care*	x = 1 if with common care, others = 0	0.927	0.871	0.974	0.949	0.920	0.885
	emergency care	x = 1 if with emergency care, others = 0	0.042	0.053	0.016	0.037	0.059	0.079
	critical care	x = 1 if with critical care, others = 0	0.031	0.076	0.010	0.014	0.020	0.036
CI-Others	operation	x = 1 if surgery operation, others = 0	0.265	0.059	0.373	0.170	0.379	0.567
	insurance covered	x = 1 if insurance covered, others = 0	0.681	0.686	0.677	0.708	0.649	0.702
	In-days	the in-days for impatient	13.52	13.12	13.83	20.19	14.04	13.69

* = dumb variables

Figure 1. Cure rate of different tumors in different expense groups.

Figure 2. Uncured rate of different tumors in different expense groups.

Table 2. Concentration index and horizontal inequity index in treatment result.

	Concentration Index	Horizontal Inequality
Effective rate
Total Expense	0.0440	0.0605
Out-off-pocket Expense	0.0398	0.0400
Cure rate
Total Expense	0.2095	0.2251
Out-off-pocket Expense	0.1905	0.1914
Death rate
Total Expense	0.2178	0.1521
Out-off-pocket Expense	0.1312	0.0434
uncured rate
Total Expense	−0.2989	−0.3236
Out-off-pocket Expense	−0.2417	−0.2630

Table 3. Decomposition of inequality in cure rate and uncured rate.

Variable	Cure rate		Uncured rate
	Marginal effects	Contributions	Marginal effects	Contributions
Total fee	0.0172	0.1568	−0.0200	−0.1835
CI-Expense
Pay Out of Pocket	0.0153	0.1202	−0.0179	−0.1562
CI-Disease
male	−0.0013*	−0.0008	0.0068*	0.0033
age 35–44	0.0015*	0.0006	0.0061*	0.0009
age 45–54	0.0002*	0.0001	0.0078*	0.0020
age 55–64	0.0007*	0.0003	0.0099*	0.0026
age ≥65	0.0008*	0.0004	0.0141*	0.0032
cancer	−0.0381*	−0.0273	−0.0034*	−0.0030
with cc	−0.0115*	−0.0053	0.0150*	0.0035
with serious cc	−0.0143*	−0.0061	0.0254*	0.0062
emergency care	−0.0096*	−0.0012	0.0322*	0.0013
critical care	−0.0146*	−0.0014	0.0208*	0.0006
CI-Others
operation	0.0543*	0.0458	0.0008*	0.0002
insurance covered	−0.0013*	−0.0017	−0.0034*	−0.0023
In-days	−0.0009	−0.0044	0.0003	0.0046

*Marginal effects which differ significantly from zero (p < 0.05) in the regression.

Figure 3. Decomposition of inequity in inpatient treatment results.

Figure 4. Concentration curves of inpatient cure results.

Table 4. Insurance compensation ratio in different expense group.

Insurance compensation ratio	Lung cancer	Breast cancer	Esophageal cancer	Stomach cancer	HCC	Carcinoid
Lowest	55.06%	57.25%	52.66%	52.06%	51.95%	49.31%
Second	52.01%	54.69%	46.28%	41.72%	56.74%	49.30%
Middle	44.98%	48.61%	37.90%	48.33%	45.62%	48.95%
Fourth	37.15%	33.76%	39.79%	34.58%	39.03%	26.10%
Highest	17.35%	11.00%	15.09%	11.88%	12.04%	15.50%
Total	33.45%	34.70%	30.96%	31.25%	34.60%	31.25%

Table 5. The OOP and incidence of catastrophic expenditure of the difference coverage of various insurance.

	Cases	Total expenditure (Yuan RMB)	OOP after Medical insurance compensation			CI
			OOP (Yuan RMB)	OOP Rate (%)	Incidence of catastrophic expenditure* (%)	effective rate	cure rate	death rate	uncured rate
Uncovered	16,258	12,261	12,261	100	81.98%	0.0397	0.1460	0.2934	−0.3253
Urban Employee Basic Medical Insurance	17,703	12,745	4690	36.8	37.21%	0.0363	0.2153	0.1893	−0.2207
New Rural Cooperative Medical Scheme	14,811	13,242	9720	73.4	82.92%	0.0560	0.2607	0.2176	−0.3323
Urban Resident Basic Medical Insurance	2114	12,314	5532	44.9	44.76%	0.0572	0.2204	0.2437	−0.3112
Total	50,886	12,713	8564	67.4		0.0398	0.1905	0.1312	−0.2417

*Data of household expenditure is coming from The fifth China’s National Health Service Survey 2013 Shaanxi Province, and the standard of catastrophic expenditure is 40% of household non-food expenditures.