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The data examining the effect of gender on total shoulder arthroplasty (TSA) are limited but suggest that women may have worse outcomes.
The data examining the relationship between length of stay and rate of readmission have however not been unequivocal.
We used the Chronic Care Model as a framework to analyze the data, examining how well the systems changes were implemented and the impact of these changes on care processes, and to develop recommendations for improvement.
While there is a growing body of literature on fall prevention in the hospital, the data examining the fall rate and risk factors for falls in the immediate post-hospitalization period has not been well described [ 12- 14].
While there is a growing body of literature on fall prevention in the hospital, the data examining the fall rate and risk factors for falls in the immediate post-hospitalization period has not been well described.
By differencing the data (examining changes from time period to time period as opposed to absolute levels) and including lagged variables, the model reduces the statistical problem of trends and time dependencies that exist in time-series data.
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Moreover, the data examined for Roundup authorizations are clearly inadequate [48].
In fact, this is what seems to happen for the data examined in the Results section (Sect. 3).
Among the measured values, we only included the data examined at 20 130° during arm elevation in the scapular plane.
Sequential change detection is then applied to the data examined in order to detect at which time instants there are changes in the activity taking place.
The data examined were from the 2011 NDHS.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com