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.