Table 3.
Determinants of patient satisfaction scores - multilevel linear regression analyses
| Independent variables | Model One | Model Two | Model Three | Model Four | ||||
|---|---|---|---|---|---|---|---|---|
| Coef. | SE | Coef. | SE | Coef. | SE | Coef. | SE | |
| Fixed effects | ||||||||
| Intercept (β0) | 1.970 | 0.035 | 1.970 | 0.035 | 1.970 | 0.034 | ||
| Individual-level (patients) | ||||||||
| Sex (β1) | −0.031 | 0.041 | − 0.024 | 0.040 | − 0.031 | 0.041 | ||
| Age (β2) | − 0.005** | 0.001 | − 0.009** | − 0.002 | − 0.005** | 0.001 | ||
| Education (β3) | −0.025 | 0.061 | −0.033 | 0.060 | −0.029 | 0.061 | ||
| Monthly household income (β4) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | ||
| Medical expenses for recent visit to CHS (β5) | −0.000* | 0.000 | −0.000 | 0.000 | −0.000 | 0.000 | ||
| Frequency of visits to CHS (β6) | −0.000 | 0.004 | −0.000 | 0.004 | −0.001 | 0.004 | ||
| Organizational-level (community health services) | ||||||||
| Sex ratio (Male to Female) - numbers of physicians (βi1) | 0.012* | 0.005 | 0.001 | 0.000 | ||||
| Sex ratio (Male to Female) - percentage of physicians with a university degree (βi2) | −0.001* | 0.000 | −0.000 | 0.000 | ||||
| Gender difference in job satisfaction scores (βi3) | 0.000 | 0.000 | −0.000 | 0.000 | ||||
| Random effects | ||||||||
| Variance component | .0243 (μ0) | .0235 | .0237 (μ2) | .0236 (μ5) | ||||
| χ2(df) | 97.688 | 90.604 | 91.800 | 91.212 | ||||
| p | < 0.001 | < 0.001 | < 0.001 | < 0.001 | ||||
Note: * p < 0.05; ** p < 0.01