Association between direct government subsidies and service scope of primary care facilities: a cross-sectional study in China

Table 3 Results of U-shaped relationship test

Variable	Service scope (Model 1)			Preventive and public health (Model 2)			Basic medical care (Model 3)
Variable	β	95% CI	P	β	95% CI	P	β	95% CI	P
PCDGS (%)	16.52	(1.28, 31.76)	0.034	−0.07	(−1.86, 1.72)	0.938	17.32	(3.56, 31.07)	0.014
PCDGS² (%)	−19.44	(−33.85, −5.02)	0.009	0.08	(−1.61, 1.77)	0.926	−20.33	(−33.34, −7.32)	0.002
PercapitaCFR	0.03	(0, 0.06)	0.074	0.00	(0, 0)	0.892	0.03	(0, 0.06)	0.03
PercapitaGDP	−0.10	(−0.25, 0.04)	0.172	0.00	(−0.02, 0.01)	0.792	−0.08	(−0.21, 0.06)	0.259
Pubhospitalave	0.30	(−0.05, 0.66)	0.093	0.01	(−0.03, 0.05)	0.638	0.19	(−0.13, 0.51)	0.244
Prihospitalave	−0.35	(−0.77, 0.07)	0.099	0.00	(−0.05, 0.04)	0.841	−0.29	(−0.67, 0.09)	0.128
Res e	0.04	(0.02, 0.06)	< 0.001	0.00	(0, 0)	0.892	0.04	(0.03, 0.05)	< 0.001
Type (ref: THC)	−3.75	(−5.03, −2.47)	< 0.001	−0.06	(−0.21, 0.09)	0.458	−3.12	(−4.27, −1.96)	< 0.001
IDS (ref: Yes)	−0.35	(− 1.44, 0.73)	0.520	0.00	(−0.12, 0.13)	0.969	−0.38	(−1.36, 0.6)	0.441
Medstaff	−0.60	(−1.25, 0.04)	0.067	0.00	(−0.08, 0.08)	0.985	−0.59	(−1.18, − 0.01)	0.046
MedStaffHighlevel	1.70	(−7.32, 10.72)	0.710	0.06	(−0.99, 1.12)	0.908	1.08	(−7.07, 9.22)	0.794
Highlevelstaff (%)	−8.10	(−18.69, 2.49)	0.133	−0.27	(−1.55, 1)	0.676	−5.26	(−14.82, 4.3)	0.279
PBS	0.02	(−0.01, 0.04)	0.179	0.00	(0, 0)	0.986	0.02	(0, 0.04)	0.131
Slope at PCDGS (min)	12.84			\			13.47
Slope at PCDGS (max)	−20.83			\			−21.75
P	0.022						0.010
Fieller 95% CI	(11.59%, 51.74%)			\			(22.41%, 50.58%)

Model 1, F = 11.29, P < 0.001, Adj-R² = 44.5%; Model 2, Poisson regression model were used to examine the association between PCDGS and public health dimension score. P = 0.986; Model 3, F = 9.50, P < 0.001, Ajd-R² = 39.8%; SLM test, Sasabuchi-Lind-Mehlum test

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