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.
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.
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#12,870,383
of 22,696,971 outputs
Outputs from BMC Medical Informatics and Decision Making
#876
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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.
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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.
