Table 3. GEE Logit Models of Binary PSIs
(1=poor performance, 0=good performance)
Variable |
PSI-5 |
PSI-6 |
PSI-7 |
PSI-15 |
Composite score of 4 PSIs |
Critical access hospital (CAH) |
-0.80 |
-1.19** |
-1.26** |
-0.92** |
-0.70** |
% Medicare days |
-0.01 |
-0.01 |
-0.01* |
-0.01 |
-0.01 |
% Medicaid days |
-0.01* |
0.02 |
0.03 |
0.02 |
0.03 |
% of surgical discharges |
0.09** |
0.05** |
0.01 |
0.18** |
0.16** |
Charlson Index |
2.01** |
0.69 |
1.05 |
1.51** |
1.37** |
Market concentration (HHI) |
-2.11 |
0.37 |
0.24 |
-0.21 |
-0.15 |
Per capita income ($1,000) |
0 |
-0.03 |
0.09 |
0.06 |
0.07** |
Population density |
-0.01 |
0.02 |
0.01 |
0 |
0 |
Intercept |
-3.23 |
-2.67* |
-3.73** |
-3.87** |
-3.54** |
Observations |
712 |
712 |
712 |
712 |
712 |
Note: Due to space limit, year dummy variables were omitted in this table.
* Statistically significant at 0.1 level.
** Statistically significant at 0.05 level.
++ Convergence was not achieved.
+++ Ad hospital dummy variables in cross-sectional Tobit model.
‡ The results should be interpreted with caution, given that estimations ofr some coefficients were not stable under quadchk.
¥ Adding two variables (percentage of acute inpatient admission were transferred from other short-term hospital and percentage of acute inpatient patients were transferred to other short-term hospitals) into the models in Table II-6
∏ PSI-5 are observed rate.
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