Table 1.
Overall n=642† | Urban n=566¶ | Large n=49§ | Small n=18‡ | Isolated n=9†† | P¶¶ | |
---|---|---|---|---|---|---|
Hospital Characteristics | ||||||
State (%)§§ | .00** | |||||
California | 46 | 49 | 23 | 44 | 44 | |
Florida | 27 | 29 | 20 | 0 | 11 | |
Pennsylvania | 26 | 22 | 57 | 56 | 44 | |
Ownership Type (%)§§ | ||||||
Government, non-Federal | 11 | 11 | 4 | 11 | 33 | .01* |
Not-for-Profit | 66 | 64 | 78 | 89 | 56 | |
For- Profit | 23 | 25 | 18 | 0 | 11 | |
Bed Size (%)§§ | .00** | |||||
<100 | 18 | 12 | 41 | 100 | 67 | |
101–250 | 46 | 46 | 55 | 0 | 33 | |
>250 | 37 | 41 | 4 | 0 | 0 | |
High Technology (%)§§ | 42 | 48 | 6 | 0 | 0 | .00** |
Teaching (%)§§ | .00** | |||||
Non-Teaching | 54 | 48 | 82 | 94 | 100 | |
Minor Teaching | 38 | 43 | 13 | 6 | 0 | |
Major Teaching | 9 | 10 | 5 | 0 | 0 | |
Patients Per Unit, (mean) | 18 | 19 | 16 | 12 | 15 | .00** |
Notes.
Number of overall hospitals vary from 373 –642 due to missing data
Number of urban hospitals vary from 317–566 due to missing data
Number of large hospitals vary from 34–49 due to missing data
Number of small hospitals vary from 14–18 due to missing data
Number of isolated hospitals vary from 8–9 due to missing data.
Statistical significance was determined with Chi Square tests for categorical variables and ANOVA was used to determine significance of the difference between patients-per-unit in hospital categories
Percentages might not add to 100 due to rounding
p<0.05
p<0.01