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* Comparison group created from Peer hospitals, data from years 2009 and 2010 [ 17].
As many patients in our patient group were referred to us from outside hospitals, data from the original injury (e.g. soft tissue condition) and surgery were often incomplete.
We used patient data from the VA Salt Lake City Health Care System (VA SLC HCS) (data from 2005 2008) and the Veterans Integrated Service Network (VISN) 4 (a network of ten VA hospitals, data from 1999 2006) data warehouses for comparisons.
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Presumably, more injuries occur as more people put up decorations, so a look at the hospital data from the past decade or so should reveal when most Americans are busy decorating.
The present study used health administrative hospital data from over a 10-year period.
Method: Retrospective analysis of routinely collected hospital data from all English acute hospitals performing emergency appendicectomy between 01/04/2002 and 31/03/2012.
Cross-sectional studies have used fatality data or hospital data from states with differing helmet laws to show a benefit of universal laws compared to partial laws in reducing fatalities, hospitalizations, injuries, and medical charges [5, 13, 20].
Relevant in-hospital data from the hospital records of the patients were recorded.
Hospital data from 1995 to 2010 was used to examine changes in the socioeconomic distribution of somatic specialist hospital use.
The research samples are from the hospital data from Taiwan's 2005 to 2007 Department of Health qualifying lists of accreditation.
Most predictive modelling approaches have used administrative data from claims in the USA or hospital data from hospital episode statistics or secondary uses services (SUS) in England.
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