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Table 1 Wait times to first major procedure according to patient and hospital characteristics (sample size: 14,056,930)

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)

 
  1. 1Number of days between the patient’s date of admission and the date of the principle procedure.
  2. 2Medicaid is known as Medical in California.
  3. 3Other category includes Race: Native American/Eskimo/Aleut; Payment Source: workers’ compensation, indigent programs, other government and any third party payment not included above.