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An evaluation of data quality in Canada’s Continuing Care Reporting System (CCRS): secondary analyses of Ontario data submitted between 1996 and 2011

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2013
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Title
An evaluation of data quality in Canada’s Continuing Care Reporting System (CCRS): secondary analyses of Ontario data submitted between 1996 and 2011
Published in
BMC Medical Informatics and Decision Making, February 2013
DOI 10.1186/1472-6947-13-27
Pubmed ID
Authors

John P Hirdes, Jeff W Poss, Hilary Caldarelli, Brant E Fries, John N Morris, Gary F Teare, Kristen Reidel, Norma Jutan

Abstract

Evidence informed decision making in health policy development and clinical practice depends on the availability of valid and reliable data. The introduction of interRAI assessment systems in many countries has provided valuable new information that can be used to support case mix based payment systems, quality monitoring, outcome measurement and care planning. The Continuing Care Reporting System (CCRS) managed by the Canadian Institute for Health Information has served as a data repository supporting national implementation of the Resident Assessment Instrument (RAI 2.0) in Canada for more than 15 years. The present paper aims to evaluate data quality for the CCRS using an approach that may be generalizable to comparable data holdings internationally.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 137 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 19%
Student > Master 27 19%
Student > Ph. D. Student 21 15%
Student > Bachelor 9 6%
Student > Doctoral Student 8 6%
Other 21 15%
Unknown 26 19%
Readers by discipline Count As %
Medicine and Dentistry 38 27%
Nursing and Health Professions 24 17%
Social Sciences 12 9%
Computer Science 7 5%
Economics, Econometrics and Finance 5 4%
Other 21 15%
Unknown 32 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 December 2020.
All research outputs
#15,564,886
of 24,666,614 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,167
of 2,103 outputs
Outputs of similar age
#115,743
of 197,243 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 41 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,103 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 38th percentile – i.e., 38% 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 197,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.