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Logo of bmcmidmBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Medical Informatics and Decision Making
 
BMC Med Inform Decis Mak. 2012; 12: 50.
Published online Jun 6, 2012. doi:  10.1186/1472-6947-12-50
PMCID: PMC3437217
Evaluating quality of care for patients with type 2 diabetes using electronic health record information in Mexico
Ricardo Pérez-Cuevas,corresponding author1 Svetlana V Doubova,2 Magdalena Suarez-Ortega,2 Michael Law,3 Aakanksha H Pande,4 Jorge Escobedo,5 Francisco Espinosa-Larrañaga,6 Dennis Ross-Degnan,4 and Anita K Wagner4
1Division of Social Protection and Health, Inter-American Development Bank, Washignton, USA
2Epidemiology and Health Services Research Unit CMN Siglo XXI, Mexican Institute of Social Security, México, DF, Mexico
3Centre for Health Services and Policy Research, School of Population and Public Health, The University of British Columbia, Vancouver, Canada
4Department of Population Medicine and WHO Collaborating Center in Pharmaceutical Policy, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
5Unidad de Investigación en Epidemiología Clínica, Hospital Regional 1 Carlos MacGregor Sánchez Navarro, IMSS, México, DF, México
6División de Innovación de la Coordinación de Educación en Salud,IMSS, México, DF, Mexico
corresponding authorCorresponding author.
Ricardo Pérez-Cuevas: rperez/at/iadb.org; Svetlana V Doubova: svetlana.doubova/at/gmail.com; Magdalena Suarez-Ortega: magdasua/at/gmail.com; Michael Law: mlaw/at/chspr.ubc.ca; Aakanksha H Pande: aaka.pande/at/gmail.com; Jorge Escobedo: jorgeep/at/unam.mx; Francisco Espinosa-Larrañaga: kraussg/at/prodigy.net.mx; Dennis Ross-Degnan: dennis_ross-degnan/at/hms.harvard.edu; Anita K Wagner: anita_wagner/at/hms.harvard.edu
Received November 30, 2011; Accepted June 6, 2012.
Abstract
Background
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.
Methods
We used a three-stage mixed methods approach: a) development of QCIs following the RAND-UCLA method; b) EHR data extraction and construction of indicators; c) QC evaluation using EHR data from 25,130 T2DM patients who received care in 2009.
Results
We developed 18 QCIs, of which 14 were possible to construct using available EHR data. QCIs comprised both process of care and health outcomes. Several flaws in the EHR design and quality of data were identified. The indicators of process and outcomes of care suggested areas for improvement. For example, only 13.0% of patients were referred to an ophthalmologist; 3.9% received nutritional counseling; 63.2% of overweight/obese patients were prescribed metformin, and only 23% had HbA1c <7% (or plasma glucose ≤130 mg/dl).
Conclusions
EHR data can be used to evaluate QC. The results identified both strengths and weaknesses in the electronic information system as well as in the process and outcomes of T2DM care at IMSS. This information can be used to guide targeted interventions to improve QC.
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