Table 4.

Linear regression results examining non-clinical and socio-demographic factors as predictors of overall patient satisfaction (SP and RP)

Variables	Dependent variable		Satisfaction with general care
	RP		SP
Respect and dignity
Welcome	0.301***	(0.049)	0.149**	(0.063)
	(1.77)		(1.53)
General attitude	0.220***	(0.047)	0.056	(0.074)
	(1.30)		(1.60)
Quality of basic amenities
Cleanliness	−0.013	(0.036)	0.058	(0.049)
	(1.76)		(1.66)
Confidentiality
Level of privacy	0.073*	(0.043)	0.163***	(0.049)
	(1.21)		(1.25)
Effective communication
Understanding health problem	0.097**	(0.042)	0.310***	(0.066)
	(1.16)		(1.45)
Explaining health condition	0.148***	(0.037)	0.292***	(0.070)
	(1.53)		(1.42)
Socio-demographic
Age (Ref. from 15 to 29 years)
≥30 years	0.022	(0.022)	−0.009	(0.047)
	(1.14)		(1.35)
Gender (Ref. Male)
Female	0.025	(0.021)	−0.084	(0.058)
	(1.03)		(1.86)
Race (Ref. African)
Coloured	−0.005	(0.033)	−0.073	(0.074)
	(1.19)		(2.10)
Education (Ref. <Matric)
Matric	0.045**	(0.021)	0.063	(0.064)
	(1.25)		(2.39)
>Matric	0.027	(0.035)	−0.111	(0.074)
	(1.24)		(3.49)
Province (Ref. Eastern Cape)
Western Cape	0.043	(0.028)	0.017	(0.060)
	(1.28)		(1.78)
Motor vehicle or van	−0.012	(0.027)	0.134*	(0.067)
	(1.26)		(2.33)
Fridge or freezer	−0.031	(0.036)	−0.130	(0.117)
	(1.13)		(1.55)
Constant	0.117**	(0.058)	0.181	(0.150)
Clusters (facilities)	39		39
Observations (visits)	1021		336
R2	0.414		0.436
Variance Inflation Factors (VIF) (average)	1.30		1.84

Robust standard errors adjusted for clustering at the facility level shown in parentheses. Significance at ***1% level **5% level *10% level. Control variables include age, gender, race, education, province, motor vehicle or bakkie, satellite dish and fridge or freezer. VIF are provided in square brackets below the coefficients. They show that multicollinearity is not a problem in the model as the VIF values for all explanatory variables are less than 5.

RP, real patient; SP, standardised patient; VIF, variance inflation factor.