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Table 2 GEE regression results with independent variance-covariance matrix: a sample of 1493 pooled observations representing 382 unique acute care hospitals in Texas operating between 2007 and 2010

From: Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model

Variables

 

Total revenue

Gross inpatient revenue

Gross outpatient revenue

  

Coefficient (Std. Err)

Coefficient (Std. Err)

Coefficient (Std. Err)

Inpatient days (in log)

 

0.874** (0.037)

1.218** (0.037)

0.359** (0.043)

Outpatient visits (in log)

 

0.190** (0.012)

−0.008 (0.015)

0.273** (0.014)

Emergency visits (in log)

 

−0.051** (0.014)

−0.136** (0.014)

−0.073** (0.016)

Government admissions (in log)

 

−0.122** (0.028)

−0.208** (0.029)

0.323** (0.034)

Total IT investment ($) (in log)

 

0.080** (0.008)

0.047** (0.008)

0.058** (0.009)

Number of Licensed Beds (in log)

 

−0.024 (0.033)

−0.028 (0.032)

−0.089* (0.034)

System member

 

−0.005 (0.012)

−0.034** (0.013)

−0.084** (0.015)

Ownership

Government

0.008 (0.022)

−0.619** (0.028)

−0.232** (0.026)

 

Not for profit

0.044 (0.015)

−0.202** (0.014)

−0.041* (0.017)

Teaching status

 

0.047 ** (0.011)

0.046** (0.012)

−0.021 (0.014)

Competition

HHI

−0.492** (0.037)

−0.345** (0.041)

−0.199** (0.038)

Time effects

Time

0.072** (0.026)

0.078** (0.028)

0.119** (0.034)

 

Time2

−0.004 (0.005)

0.000 (0.005)

0.002 (0.006)

Constant

 

7.908** (0.183)

9.408** (0.176)

9.563** (0.194)

  1. ** p < 0.01, * p < 0.05