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Evaluating quality of care for patients with type 2 diabetes using electronic health record information in Mexico

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2012
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Citations

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32 Dimensions

Readers on

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138 Mendeley
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1 CiteULike
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Title
Evaluating quality of care for patients with type 2 diabetes using electronic health record information in Mexico
Published in
BMC Medical Informatics and Decision Making, June 2012
DOI 10.1186/1472-6947-12-50
Pubmed ID
Authors

Ricardo Pérez-Cuevas, Svetlana V Doubova, Magdalena Suarez-Ortega, Michael Law, Aakanksha H Pande, Jorge Escobedo, Francisco Espinosa-Larrañaga, Dennis Ross-Degnan, Anita K Wagner

Abstract

Several low and middle-income countries are implementing electronic health records (EHR). In the near future, EHRs could become an efficient tool to evaluate healthcare performance if appropriate indicators are developed. The aims of this study are: a) to develop quality of care indicators (QCIs) for type 2 diabetes (T2DM) in the Mexican Institute of Social Security (IMSS) health system; b) to determine the feasibility of constructing QCIs using the IMSS EHR data; and c) to evaluate the quality of care (QC) provided to IMSS patients with T2DM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Mexico 2 1%
South Africa 1 <1%
Netherlands 1 <1%
Ghana 1 <1%
Brazil 1 <1%
Unknown 128 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 21%
Researcher 21 15%
Student > Ph. D. Student 20 14%
Student > Postgraduate 14 10%
Student > Bachelor 10 7%
Other 26 19%
Unknown 18 13%
Readers by discipline Count As %
Medicine and Dentistry 44 32%
Business, Management and Accounting 13 9%
Social Sciences 12 9%
Psychology 8 6%
Nursing and Health Professions 7 5%
Other 28 20%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 May 2015.
All research outputs
#12,870,383
of 22,696,971 outputs
Outputs from BMC Medical Informatics and Decision Making
#876
of 1,980 outputs
Outputs of similar age
#89,492
of 166,921 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#22
of 47 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 166,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.