Table 5.
Outcome variable | intercept | β age1 | β gender1 | β education1 | β physical health1 | β mental health1 | Var patients | Var hospital | Var tot2 | PCV3 | ICC4 |
Doctor (N = 1469) | |||||||||||
Model 1 | 3.523 (0.022)* | - | - | - | - | - | 0.290 (0.011)* | 0.011 (0.005)* | 0.301 | reference | 0.04 |
Model 2 | 3.632 (0.048)* | -0.021 (0.032) | -0.059 (0.031) | 0.021 (0.032) | -0.139 (0.045)* | -0.152 (0.034)* | 0.279 (0.010)* | 0.010 (0.004)* | 0.289 | 4.2% | 0.03 |
Nurses (N = 1507) | |||||||||||
Model 1 | 3.508 (0.018)* | - | - | - | - | - | 0.205 (0.008)* | 0.007 (0.003)* | 0.212 | reference | 0.03 |
Model 2 | 3.675 (0.038)* | -0.031 (0.026) | -0.081 (0.026)* | -0.024 (0.026) | -0.148 (0.037)* | -0.158 (0.028)* | 0.193 (0.007)* | 0.005 (0.002)* | 0.198 | 7.1% | 0.03 |
Medication (N = 630) | |||||||||||
Model 1 | 2.896 (0.043)* | - | - | - | - | - | 1.142 (0.064)* | 0.000 (0.000) | 1.142 | reference | n.c. |
Model 2 | 3.082 (0.139)* | -0.169 (0.090) | -0.163 (0.094) | 0.187 (0.100) | -0.331 (0.133)* | -0.171 (0.101) | 1.087 (0.061)* | 0.000 (0.000) | 1.087 | 5.1% | n.c. |
Pain control (N = 1484) | |||||||||||
Model 1 | 3.594 (0.018)* | - | - | - | - | - | 0.357 (0.013)* | 0.003 (0.003) | 0.360 | reference | n.c. |
Model 2 | 3.632 (0.050)* | 0.008 (0.035) | -0.023 (0.035) | 0.028 (0.036) | -0.120 (0.050)* | -0.101 (0.038)* | 0.352 (0.013)* | 0.001 (0.002) | 0.353 | 2.0% | n.c. |
Rating hospital (N = 1490) | |||||||||||
Model 1 | 8.422 (0.046)* | - | - | - | - | - | 1.818 (0.067)* | 0.031 (0.018)* | 1.849 | reference | n.c. |
Model 2 | 8.789 (0.113)* | 0.094 (0.078) | -0.135 (0.078) | -0.228 (0.080)* | -0.265 (0.112)* | -0.440 (0.085)* | 1.744 (0.065)* | 0.023 (0.016)* | 1.767 | 4.6% | n.c. |
*p < 0.05
1Reference group age = younger than 65; reference group gender = males; reference group education = low education; reference group physical health = good physical health; reference group mental health = good mental health.
2Var tot (total variance) = Var patients + Var hospital
3PCV (proportional change in variance) = (Var tot model 1 - Var tot model 2)/(Var tot model 2) * 100%
4ICC (intra-class correlation) = Var hospital/(Var patients + Var hospital)
n.c. = not calculated. The variance explained by the hospital level is not significant and, therefore, the ICC is not calculated.