Researchers Identify Variables Associated With Fibromyalgia Diagnosis Using Electronic Medical Record Data

Researchers Identify Variables Associated With Fibromyalgia Diagnosis Using Electronic Medical Record Data
shutterstock_130152038Findings from a recent retrospective study published in the Journal of Pain Research show important demographic, clinical, and health care resource variables associated with the diagnosis of Fibromyalgia (FM). Based on the results, the researchers suggest the use of EMR data for identifying variables associated with FM, which may help in the diagnosis and management of this condition. In order to provide a first step toward identification of variables predictive of an FM diagnosis to help support the clinical management of FM, in their study titled “Electronic medical record data to identify variables associated with a fibromyalgia diagnosis: importance of health care resource utilization,” Elizabeth Masters from Pfizer, Inc., New York and her colleagues examined EMR data and tested differences in demographic, clinical, and health care resource utilization variables between subjects with a diagnosis of FM and those without FM. Data was retrieved from the Humedica electronic medical record where a total of 4,296 cases were identified between 2011 and 2012. Results from univariate analysis revealed that patients with FM were mainly
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