From: The impact of health information technology on disparity of process of care
Variable | Percent | Mean 1 | (SD) | P-Value | |
---|---|---|---|---|---|
Age (years) | P < 0.01 | ||||
1-17 | 1.4% | 2.553 | (3.344) | ||
18-34 | 7.3% | 2.555 | (3.405) | ||
35-64 | 40.5% | 2.740 | (3.397) | ||
65 and older | 50.8% | 2.978 | (3.207) | ||
Sex | P < 0.01 | ||||
Male | 45.9% | 2.827 | (3.105) | ||
Female | 54.1% | 2.845 | (3.417) | ||
Payment Source | P < 0.01 | ||||
Medicare | 51.3% | 2.982 | (3.162) | ||
Medical2 | 19.5% | 3.111 | (4.168) | ||
Private | 19.9% | 2.367 | (2.671) | ||
Self | 4.1% | 2.479 | (2.970) | ||
Other3 | 5.3% | 2.607 | (3.202) | ||
Race | P < 0.01 | ||||
White | 62.1% | 2.796 | (3.136) | ||
Non-White | 37.9% | 2.925 | (3.563) | ||
P < 0.01 | |||||
Ownership | P < 0.01 | ||||
Profit | 16.5% | 2.918 | (3.162) | ||
Not-for-profit | 65.3% | 2.823 | (3.252) | ||
Government | 18.1% | 2.858 | (3.604) | ||
System | P < 0.01 | ||||
Non-system | 2.901 | (3.516) | |||
System | 55.8% | 2.800 | (3.127) | ||
Teaching hospitals | P < 0.01 | ||||
Non-teaching | 77.5% | 2.811 | (3.124) | ||
Teaching | 22.5% | 2.968 | (3.897) | ||
Location | P < 0.01 | ||||
Non-Rural | 95.6% | 2.861 | (3.348) | ||
Rural | 4.4% | 2.528 | (2.448) | ||
DRG weight | 1.18 | (0.664) | |||
Number of beds | 339 | (199) | |||
Health IT | $14.4 m | (20.1 m) |