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

Overview of attention for article published in BMC Health Services Research, April 2016
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Title
Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model
Published in
BMC Health Services Research, April 2016
DOI 10.1186/s12913-016-1367-9
Pubmed ID
Authors

Jinhyung Lee, Jae-Young Choi

Abstract

The benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question. Texas hospital data obtained from the American Hospital Association (AHA) for 2007-2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals. We found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100 % increase in health IT expenditure would result in an 8 % increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue. Increased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Professor > Associate Professor 4 9%
Student > Doctoral Student 4 9%
Researcher 3 7%
Student > Ph. D. Student 3 7%
Other 8 18%
Unknown 14 32%
Readers by discipline Count As %
Nursing and Health Professions 7 16%
Medicine and Dentistry 6 14%
Business, Management and Accounting 4 9%
Social Sciences 4 9%
Computer Science 2 5%
Other 6 14%
Unknown 15 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 April 2016.
All research outputs
#13,464,540
of 22,860,626 outputs
Outputs from BMC Health Services Research
#4,630
of 7,647 outputs
Outputs of similar age
#147,203
of 300,859 outputs
Outputs of similar age from BMC Health Services Research
#50
of 84 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.