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Should policy-makers and managers trust PSI? An empirical validation study of five patient safety indicators in a national health service

Overview of attention for article published in BMC Medical Research Methodology, February 2012
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Title
Should policy-makers and managers trust PSI? An empirical validation study of five patient safety indicators in a national health service
Published in
BMC Medical Research Methodology, February 2012
DOI 10.1186/1471-2288-12-19
Pubmed ID
Authors

Enrique Bernal-Delgado, Sandra García-Armesto, Natalia Martínez-Lizaga, Begoña Abadía-Taira, Joaquín Beltrán-Peribañez, Salvador Peiró

Abstract

Patient Safety Indicators (PSI) are being modestly used in Spain, somewhat due to concerns on their empirical properties. This paper provides evidence by answering three questions: a) Are PSI differences across hospitals systematic -rather than random?; b) Do PSI measure differences among hospital-providers -as opposed to differences among patients?; and, c) Are measurements able to detect hospitals with a higher than "expected" number of cases?

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

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Ph. D. Student 6 15%
Student > Master 4 10%
Other 3 7%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 11 27%
Readers by discipline Count As %
Medicine and Dentistry 11 27%
Business, Management and Accounting 4 10%
Computer Science 2 5%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 7 17%
Unknown 13 32%
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 12 March 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from BMC Medical Research Methodology
#1,499
of 2,000 outputs
Outputs of similar age
#99,554
of 155,414 outputs
Outputs of similar age from BMC Medical Research Methodology
#17
of 32 outputs
Altmetric has tracked 22,663,969 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 2,000 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% 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 155,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.