Table 5.
Other Hospital Characteristics of MSSP Hospital Clusters
MSSP - low ambulatory services but high health IT |
MSSP – high health IT |
MSSP - low health IT |
MSSP- high tight MD alignment & health IT |
MSSP - high loose MD alignment & health IT |
MSSP - Overall | |
---|---|---|---|---|---|---|
Number of staffed and set-up hospital beds*** |
119 | 284 | 208 | 243 | 338 | 242 |
Ownership Type*** | ||||||
Not-for-profit | 90.3% | 91.8% | 70.0% | 84.6% | 94.1% | 87.7% |
Other ownership | 9.7% | 8.2% | 30.0% | 15.4% | 5.9% | 12.3% |
Teaching Hospital*** | ||||||
Yes (COTH member or residency programs) |
8.1% | 42.5% | 44.0% | 34.6% | 38.2% | 34.9% |
No | 91.9% | 57.5% | 56.0% | 65.4% | 61.8% | 65.1% |
Multi-hospital System Member** | ||||||
Yes | 85.2% | 81.5% | 93.9% | 69.2% | 69.7% | 81.9% |
No | 14.8% | 18.5% | 6.1% | 30.8% | 30.3% | 18.1% |
Geographic Location*** | ||||||
Urban area | 75.8% | 92.5% | 84.0% | 73.1% | 97.1% | 86.8% |
Rural area | 24.2% | 7.5% | 16.0% | 26.9% | 2.9% | 13.2% |
Number of hospitals | 62 | 146 | 50 | 26 | 34 | 318 |
characteristic significantly different at p<.10 level across clusters.
characteristic significantly different at p<.05 level across clusters.
characteristic significantly different a p<.01 level across clusters.
Note: to test for significant differences across clusters, chi-square tests were used for categorical variables and ANOVA used for continuous variables.