SUR estimations of clinical process measures
| Model variable | URR65 | Kt/V1.2 | Hgb10 |
|---|---|---|---|
| Facility characteristics | |||
| Chain Type | 0.693*** (0.140) | −0.036 (0.429) | −8.160*** (0.722) |
| Own Type | 0.492*** (0.136) | −1.443*** (0.359) | 1.320*** (0.444) |
| Treatment/Patient | −0.002 (0.001) | 0.014*** (0.003) | −0.023*** (0.004) |
| Urban | −0.197 (0.155) | −0.698 (0.669) | 0.582 (1.178) |
| Cost/Patient | 0.0003 (0.005) | −0.070*** (0.016) | 0.141*** (0.019) |
| Local Market Share | −1.220* (0.632) | ||
| Practice pattern | |||
| AVF Usage | −0.050*** (0.012) | ||
| Catheter Usage | −0.020*** (0.005) | −0.059*** (0.016) | 0.073*** (0.022) |
| Dialyzer Reuse | 0.341*** (0.058) | 3.233*** (0.204) | −0.932*** (0.249) |
| Nurse-To-Patient ratio | −0.754 (0.911) | 5.563* (3.075) | −5.215 (3.788) |
| Physician-To-Patient ratio | −5.593 (4.160) | −1.670 (18.276) | 51.034** (20.248) |
| Station-To-Patient ratio | 1.012*** (0.246) | 0.146 (0.943) | −5.406*** (1.129) |
| PD | −0.203*** (0.060) | −0.261 (0.200) | 0.865*** (0.246) |
| Late Shift | −0.440* (0.232) | ||
| State Dummies | Yes | Yes | Yes |
| Obs | 4444 | 4444 | 4444 |
| Model variable | URR65 | Kt/V1.2 | Hgb10 |
|---|---|---|---|
| Chain Type | 0.693 | −0.036 (0.429) | −8.160 |
| Own Type | 0.492 | −1.443 | 1.320 |
| Treatment/Patient | −0.002 (0.001) | 0.014 | −0.023 |
| Urban | −0.197 (0.155) | −0.698 (0.669) | 0.582 (1.178) |
| Cost/Patient | 0.0003 (0.005) | −0.070 | 0.141 |
| Local Market Share | −1.220 | ||
| AVF Usage | −0.050 | ||
| Catheter Usage | −0.020 | −0.059 | 0.073 |
| Dialyzer Reuse | 0.341 | 3.233 | −0.932 |
| Nurse-To-Patient ratio | −0.754 (0.911) | 5.563 | −5.215 (3.788) |
| Physician-To-Patient ratio | −5.593 (4.160) | −1.670 (18.276) | 51.034 |
| Station-To-Patient ratio | 1.012 | 0.146 (0.943) | −5.406 |
| PD | −0.203 | −0.261 (0.200) | 0.865 |
| Late Shift | −0.440 | ||
| State Dummies | Yes | Yes | Yes |
| Obs | 4444 | 4444 | 4444 |
Notes:
Significantly different from 0 at:
p < 0.1;
p < 0.05;
p < 0.01. This table includes regressions using dependent variable from 2013 and independent variables from 2012. Local Market Share is calculated based on same first three digits. Transformations are made according to general weight format denoted in Wooldridge (2012) to deal with potential heteroscedasticity. One outlier observation is dropped deliberately to avoid collinearity
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