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 |