Does inpatient health services utilization vary by remoteness in the medical financial assistance population? Evidence from Shaanxi province, China

Ren, Yangling; Zhou, Zhongliang; Liu, Guanping; Shen, Chi; Cao, Dan; Xu, Tiange; Fry, Jane M.; Nawaz, Rashed; Zhao, Dantong; Su, Min; Ge, Tingshuai; Si, Yafei; Chen, Gang

doi:10.1186/s12913-020-05907-x

Table 4 Multilevel model analysis on influencing factors for inpatient health services utilization among the MFA recipients

From: Does inpatient health services utilization vary by remoteness in the medical financial assistance population? Evidence from Shaanxi province, China

Parameter	Length of the latest inpatient stay		Number of admissions last year		Total inpatient expenditure		OOP inpatient expenditure
Parameter	Coef.	S.E.	Coef.	S.E.	Coef.	S.E.	Coef.	S.E.
Gender (Baseline: Female)
Male	−0.059	0.715	0.022	0.020	1039.657*	602.581	298.069	232.507
Age (Baseline: Less than 15)
15–44	−3.912*	2.103	0.200***	0.059	6930.009†	1771.072	1669.382**	683.310
45–59	−6.648**	2.153	0.122*	0.060	4631.393**	1813.155	649.546	699.516
> 59	−10.578†	2.152	−0.007	0.060	425.114	1812.229	− 475.304	699.118
Marital status (Baseline: Married)
Others (Single, divorced or widowed)	−0.120	0.983	−0.010	0.027	− 2123.486**	828.287	− 730.073**	319.410
Degree of education (Baseline: Primary or below)
Junior school	−0.101	1.154	0.059**	0.032	610.865	972.258	289.852	375.042
Above junior school	−3.830	2.709	0.600†	0.076	2377.716	2282.027	477.120	880.554
Chronic disease (Baseline: Chronic disease)
No chronic disease	−2.201*	0.879	−0.084***	0.024	− 3134.205†	740.675	− 982.338†	285.784
Health status (Baseline: Very good or good)
Modest	−0.487	0.901	−0.001	0.025	− 1278.351*	758.261	− 312.711	292.520
Disability or seriously ill	2.640***	0.901	0.122†	0.025	1505.424*	759.311	333.837	292.707
Economic status (Baseline: The poorest)
The poorer	−0.226	1.203	0.011	0.032	− 1465.221	1013.662	− 534.044	390.298
The middle	0.542	1.258	0.010	0.032	− 1480.870	1060.670	− 449.249	407.840
The richer	−0.043	1.307	0.182†	0.033	− 1725.214	1101.501	− 529.951	423.252
The richest	−0.834	1.357	0.243†	0.034	− 142.134	1143.861	−140.945	439.182
Time to the hospital (Baseline: Shortest)
The shorter	2.953**	1.192	−0.129†	0.032	− 2638.399***	1003.905	−893.349**	386.903
The medium	5.240†	1.442	−0.005	0.038	− 3432.667***	1215.533	−983.197**	467.568
The longer	5.229***	1.574	−0.062	0.039	− 4294.960**	1327.719	− 1383.912***	509.651
The longest	7.404†	1.928	−0.126**	0.044	− 2873.070*	1629.085	− 843.539	620.811
Hospital grade (Baseline: Secondary hospital)
Tertiary hospital	−3.971***	1.176	−0.029	0.028	12,705.810†	992.024	4174.214†	380.325
Population density	−0.018**	0.009	0.001†	0.000	−21.954***	8.425	−5.300**	2.496
Per capita GCP	−1.289*	0.698	0.011	0.007	− 1666.647**	639.061	−359.208*	186.240
Number of beds per 10,000 people	−1.202	2.932	0.124†	0.024	− 7414.986***	2680.948	− 2571.946***	783.829
Number of doctors per 10,000 people	−3.396	8.552	−0.042	0.087	5245.711	7788.874	3967.324*	2321.577
Number of nurses per 10,000 people	0.376	7.212	−0.114*	0.060	6836.155	6584.274	2022.544	1936.436
Intercept	45.283†	7.080	0.796†	0.082	35,818.760†	6436.780	7679.606†	1930.638

Notes: Coef. means coefficient. * p < 0.1, ** p < 0.05, *** p < 0.01, † p < 0.001
OOP out-of-pocket

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