Utility of Electronic Medical Records in Community Rheumatology Practice for Assessing Quality of Care Indicators for Gout: A Feasibility Study. Issue 2 (March 2018)

• Record Type: Journal Article
• Authors: Estrada, Augusto; Tsao, Nicole W.; Howren, Alyssa; Esdaile, John M.; Shojania, Kamran; De Vera, Mary A.
• Is Part Of: Journal of clinical rheumatology. Volume 24:Issue 2(2018)
• Publication Date: 2018-03
• Subjects: electronic medical records -- gout -- quality indicators -- quality of care; Rheumatism -- Periodicals; Rheumatology -- Periodicals; Musculoskeletal system -- Diseases -- Periodicals; Musculoskeletal Diseases -- Periodicals; Rheumatic Diseases -- Periodicals; Rhumatisme -- Périodiques; Rhumatologie -- Périodiques; Appareil locomoteur -- Maladies -- Périodiques; Musculoskeletal system -- Diseases; Rheumatism; Rheumatology; Periodicals; 616.723005
• DOI: 10.1097/RHU.0000000000000621
• Languages: English
• ISSNs: 1076-1608

Abstract

Abstract : Objectives: With comprehensive capture of information on patient encounters, electronic medical records (EMRs) may have utility for assessing adherence to quality indicators (QIs) in gout. Our objectives were to translate 10 previously established gout QIs into relevant EMR data and evaluate and describe the feasibility of using EMRs to assess gout QIs. Methods: Using EMRs from 3 community rheumatology practices in Vancouver, British Columbia, Canada, we identified gout patients seen between January 1, 2012, and December 31, 2013. We translated each gout QI into potential EMR variables that would allow identification of patients the QI pertains to and whether the QI could be assessed. We extracted deidentified EMR data on gout diagnosis, medications, laboratory tests, radiological tests, and clinical notes and calculated the percent availability of data for each QI. Results: We included 125 patients with gout, with mean age of 64 ± 17 years and with males comprising 78%. Overall, there were sufficient EMR data to allow translation of 7 QIs and assessment of 6 QIs including therapy-related gout QIs (69%–83% data availability) and one counseling-related QI (8% data availability). The highest percent data availability was observed in the single QI translated into EMR data and assessed based on diagnostic codes and prescription medications and not laboratory tests. Conclusions: Electronic medical records are promising tools for assessing QIs for gout. It was feasible to translate seven gout QIs into relevant EMR variables and there was sufficient EMR data to feasibly assess six of these QIs –Our findings lend evidence to support the utility of EMRs for ut QI assessment, with implications for helping improve management of this disease. Abstract : Supplemental digital content is available in the text.