Growing old before growing rich: inequality in health service utilization among the mid-aged and elderly in Gansu and Zhejiang Provinces, China

Wang, Yang; Wang, Jian; Maitland, Elizabeth; Zhao, Yaohui; Nicholas, Stephen; Lu, Mingshan

doi:10.1186/1472-6963-12-302

Table 5 Contributions of Determinants to Concentration Indices (absolute value and percentage)

From: Growing old before growing rich: inequality in health service utilization among the mid-aged and elderly in Gansu and Zhejiang Provinces, China

	Gansu								Zhejiang
	outpatient				inpatient				outpatient				inpatient
	Marg	P val.	Contri	Prop	Marg	P val.	Contri	Prop	Marg	P val.	Contri	Prop	Marg	P val.	Contri	Prop
55- male	0.032	0.482	0.00053	0.79%	0.051	0.217	0.00212	19.59%	0.101	0.082	0.00564	34.99%	0.061	0.149	0.00892	−9.91%
65 or above- male	0.016	0.719	−0.00242	−3.63%	0.074	0.138	−0.02793	−258.13%	0.012	0.800	−0.00441	−27.36%	0.066	0.180	−0.06341	70.45%
45- female	0.154	0.005	0.03498	52.45%	0.023	0.471	0.01302	120.33%	0.042	0.370	0.01682	104.34%	0.001	0.961	0.00105	−1.17%
55- female	0.112	0.052	−0.00493	−7.39%	0.02	0.534	−0.00220	−20.33%	0.054	0.292	−0.00761	−47.21%	0.002	0.951	−0.00074	0.82%
65 or above- female	0.052	0.323	−0.01002	−15.02%	0.012	0.708	−0.00576	−53.23%	0.039	0.469	−0.01467	−91.00%	0.062	0.255	−0.06101	67.78%
Below 2 point	−0.098	0.000	−0.00338	−5.07%	−0.028	0.030	−0.00241	−22.27%	−0.120	0.000	−0.00757	−46.96%	−0.051	0.000	−0.00842	9.35%
2- point	−0.169	0.000	0.01778	26.66%	−0.06	0.000	0.01573	145.38%	−0.130	0.000	−0.00884	−54.84%	−0.045	0.001	−0.00800	8.89%
3- point	−0.054	0.010	−0.00886	−13.29%	−0.046	0.000	−0.01881	−173.84%	−0.061	0.011	0.00229	14.21%	−0.037	0.006	0.00363	−4.03%
Disease	0.095	0.000	−0.00325	−4.87%	0.024	0.071	−0.00205	−18.95%	0.071	0.001	−0.01411	−87.53%	0.001	0.959	−0.00052	0.58%
			0.02043	30.63%			−0.02829	−261.46%			−0.03246	−201.36%			−0.12850	142.76%
0 < =edu < = 6	0.077	0.385	−0.02819	−42.27%	0.019	0.601	−0.01734	−160.26%	0.093	0.107	−0.03932	−243.92%	0.016	0.678	−0.01770	19.66%
6 < edu < =12	0.155	0.328	0.04055	60.80%	−0.001	0.987	−0.00065	−6.01%	0.059	0.587	0.01763	109.37%	0.038	0.598	0.02971	−33.01%
UEBMI	0.012	0.822	0.00186	2.79%	0.057	0.307	0.02199	203.23%	0.061	0.301	0.01101	68.30%	0.039	0.387	0.01842	−20.46%
URBMI	0.021	0.711	0.00362	5.43%	0.014	0.706	0.00602	55.64%	0.123	0.319	0.00594	36.85%	0.072	0.382	0.00909	−10.10%
NCMS	−0.068	0.126	0.03378	50.65%	−0.010	0.613	0.01238	114.42%	0.020	0.517	−0.00561	−34.80%	0.032	0.072	−0.02348	26.09%
Employed or self	−0.013	0.704	−0.00388	−5.82%	−0.004	0.841	−0.00297	−27.45%	−0.027	0.234	−0.01535	−95.22%	0.005	0.766	0.00744	−8.27%
Urban area	−0.023	0.622	−0.00571	−8.56%	−0.034	0.014	−0.02104	−194.45%	0.168	0.05	−0.00894	−55.46%	0.044	0.344	−0.00612	6.80%
Town	0.158	0.038	0.01333	19.99%	0.025	0.413	0.00526	48.61%	0.080	0.073	0.02344	145.41%	0.002	0.935	0.00153	−1.70%
Country	0.092	0.021	−0.04313	−64.67%	−0.028	0.196	0.03272	302.40%	0.025	0.308	−0.01387	−86.04%	0.013	0.368	−0.01887	20.96%
			0.01223	18.34%			0.03637	336.14%			−0.02507	−155.52%			0.00002	−0.02%
quartile1	−0.026	0.421	0.02590	38.84%	0.003	0.867	−0.00745	−68.85%	−0.063	0.025	0.07138	442.80%	−0.034	0.026	0.10080	−111.99%
quartile2	−0.023	0.463	0.00787	11.80%	−0.008	0.659	0.00682	63.03%	−0.014	0.634	0.00605	37.53%	−0.039	0.009	0.04412	−49.02%
quartile3	−0.025	0.386	−0.00689	−10.33%	0.036	0.115	0.02472	228.47%	0.011	0.730	0.00386	23.95%	−0.030	0.018	−0.02756	30.62%
			0.02688	40.31%			0.02409	222.64%			0.08129	504.28%			0.11736	−130.39%
CI			0.06669	100.00%			0.01082	100.00%			0.01612	100.00%			−0.09001	100.00%
Contribution			0.05934	88.98%			0.03208	296.49%			0.02376	147.39%			−0.01112	12.35%
Residue			0.00716	10.74%			−0.02135	−197.32%			−0.00765	−47.46%			−0.07887	87.62%

Prop is contribution divided by the each outpatient or inpatient CI. Some powerfully influential variables could exceed 100% (contribution is bigger than overall inpatient or outpatient CI.)

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ISSN: 1472-6963

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