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Slide Presentation from the AHRQ 2007 Annual Conference


Table 4. Sensitivity Analysis: GEE models

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Models Critical access hospital (CAH) PSI-5 PSI-6 PSI-7 PSI-15 Composite score of 4 PSIs
Models in Table 3
(89 hospitals, 1997 to 2004)
CAH‡ -0.8 -1.19** -1.26** -0.92** -0.70**
CAHmv -0.67 -1.57** -2.05** -1.37** -1.03**
Models adding proxy variable
(the lag 1 year dependent variable) as covariates
CAH -1.08 -0.90** -1.13** -0.83** -0.64**
CAHmv -1.06 -1.08** -1.67** -1.08** -0.80**
Models using DRG-weight as risk adjustment
(89 hospitals, 1997 to 2004)
CAH -0.78 -1.19** -1.25** -0.92** -0.70**
CAHmv -0.63 -1.56** -2.07** -1.36** -1.03**
Models excluding 8 hospitals which is in rural PPS in 2006
(81 hospitals, 1997 to 2004)
CAH -0.94 -1.11** -1.41** -0.85** -0.63**
CAHmv -0.79 -1.45** -2.28** -1.27** -0.94**
Models adjusting for hospital transfer behavior¥ CAH -0.84 -1.24** -1.28** -0.93** -0.72**
CAHmv -0.76 -1.68** -2.12** -1.43** -1.12**

* 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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