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Selective admission into stroke unit and patient outcomes: a tale of four cities

Overview of attention for article published in Health Economics Review, January 2014
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Title
Selective admission into stroke unit and patient outcomes: a tale of four cities
Published in
Health Economics Review, January 2014
DOI 10.1186/2191-1991-4-1
Pubmed ID
Authors

Farasat AS Bokhari, Ian Wellwood, Anthony G Rudd, Peter Langhorne, Martin S Dennis, Charles DA Wolfe

Abstract

: Care of stroke patients costs considerably more in specialized stroke units (SU) compared to care in general medical wards (GMW) but the technology may be cost effective if it leads to significantly improved outcomes. While randomized control trials show better outcomes for stroke patients admitted to SU, observational studies report mixed findings. In this paper we use individual level data from first-ever stroke patients in four European cities and find evidence of selection by the initial severity of stroke into SU in some cities. In these cases, the impact of admission to SU on outcomes is overestimated by multivariate logit models even after controlling for case-mix. However, when the imbalance in patient characteristics and severity of stroke by admission to SU and GMW is adjusted using propensity score methods, the differences in outcomes are no longer statistically significant in most cases. Our analysis explains why earlier studies using observational data have found mixed results on the benefits of admission to SU.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 3 25%
Other 2 17%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Social Sciences 2 17%
Computer Science 1 8%
Economics, Econometrics and Finance 1 8%
Psychology 1 8%
Other 2 17%
Unknown 2 17%
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 January 2014.
All research outputs
#15,290,667
of 22,739,983 outputs
Outputs from Health Economics Review
#262
of 421 outputs
Outputs of similar age
#189,417
of 304,788 outputs
Outputs of similar age from Health Economics Review
#6
of 6 outputs
Altmetric has tracked 22,739,983 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 421 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 28th percentile – i.e., 28% 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 304,788 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.