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A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample

Overview of attention for article published in BMC Health Services Research, September 2015
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Title
A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample
Published in
BMC Health Services Research, September 2015
DOI 10.1186/s12913-015-1025-7
Pubmed ID
Authors

Jonathan P. DeShazo, Mark A. Hoffman

Abstract

The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data. In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010. The two databases have a similar distribution pattern across all data elements, with 24 of 50 data elements being statistically similar between the two data sources. In general, differences that were found are consistent across diagnosis and procedures categories and were specific to the psychiatric-behavioral and obstetrics-gynecology services areas. Large EHR databases have the potential to be a useful addition to health services researchers, although they require different analytic techniques compared to administrative databases; more research is needed to understand the differences.

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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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 22%
Student > Ph. D. Student 10 16%
Student > Master 6 10%
Student > Doctoral Student 4 6%
Student > Bachelor 3 5%
Other 11 17%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 20 32%
Computer Science 5 8%
Engineering 4 6%
Agricultural and Biological Sciences 4 6%
Social Sciences 4 6%
Other 11 17%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 August 2017.
All research outputs
#15,346,908
of 22,828,180 outputs
Outputs from BMC Health Services Research
#5,563
of 7,637 outputs
Outputs of similar age
#157,512
of 268,887 outputs
Outputs of similar age from BMC Health Services Research
#104
of 136 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,637 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 17th percentile – i.e., 17% 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 268,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.