The changes in socioeconomic inequalities and inequities in health services utilization among patients with hypertension in Pearl River Delta of China, 2015 and 2019

Table 2 Decomposition of CI in outpatient utilization by hypertensive patients in 2015 and 2019

Variables	2015(n = 830)			2019(n = 1166)
Variables	dy/dx	Con.	%con.	dy/dx	Con.	%con.
Age(y)
15–44	Ref.
45–54	0.1017	−0.0023	−1.55	− 0.0442	0.0012	0.99
55–64	0.1081	0.0018	1.23	0.0947	− 0.0004	− 0.30
≧65	0.1873*	0.0016	1.07	0.1715*	0.0122	10.21
sum		0.0011	0.75		0.0131	10.90
Sex
Female	Ref.
Male	− 0.0329	− 0.0013	− 0.84	− 0.0001	< 0.0001	< 0.01
Years of hypertension (y)
1–4	Ref.
5–9	0.2398*	−0.0006	−0.39	0.0548	−0.0012	−1.03
≧10	0.1583*	0.0026	1.72	0.0866*	0.0038	3.21
sum		0.0020	1.33		0.0026	2.19
Economic status
Poorest	Ref.
Poorer	0.0450	−0.0068	−4.53	0.0699	−0.0096	−7.98
Middle	0.2651*	0.0010	0.67	0.1841*	0.0001	0.11
Richer	0.3294*	0.0507	33.86	0.3796*	0.0520	43.43
Richest	0.2577*	0.0765	51.05	0.3418*	0.0926	77.34
sum		0.1214	81.05		0.1352	112.89
Educational level
Primary or below	Ref.
Middle school	0.0182	−0.0003	−0.19	0.0495	−0.0017	−1.41
High school	0.1224*	0.0055	3.69	0.2329*	0.0003	0.23
College or above	0.3888*	0.0157	10.49	0.2243*	−0.0011	−0.94
sum		0.0210	13.99		−0.0025	−2.12
Employment status
Unemployed	Ref.
Employed	0.0002	< 0.0001	−0.01	0.0786	−0.0051	−4.29
Marital status
Single	Ref.
Married	0.0146	−0.0002	− 0.14	0.0031	< 0.0001	−0.03
Residential location
Rural	Ref.
Urban	0.0756*	0.0056	3.76	0.0298	0.0010	0.80
Registration
Migrants	Ref.
Locals	0.1424*	0.0158	10.52	0.2446*	0.0051	4.24
Health insurance
No	Ref.
Yes	0.0932	0.0006	0.37	0.0116	< 0.0001	0.02
Time to the nearest health facilities (min)
≦15	Ref.
> 15	−0.2265*	0.0216	14.43	−0.2342*	0.0016	1.32

Note: (1) dy/dx: Partial effect in probit regression model; Con.: The absolute contribution of each determinant; %con.: The percentage contribution of each determinant to the total concentration index; (2) *: P < 0.05

ISSN: 1471-2458