Evaluating increased resource use in fibromyalgia using electronic health records
| Autor: | Elizabeth T. Masters, David M. Smith, Steven Faulkner, Jay M. Margolis, Joseph C. Cappelleri |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
medicine.medical_specialty
Economics Econometrics and Finance (miscellaneous) 03 medical and health sciences 0302 clinical medicine Pharmacotherapy 030202 anesthesiology Fibromyalgia Health care medicine Bipolar disorder Medical prescription Depression (differential diagnoses) Original Research Resource intensity health care resource utilization business.industry Health Policy Physician Office medicine.disease ClinicoEconomics and Outcomes Research electronic health records Emergency medicine Physical therapy fibromyalgia business 030217 neurology & neurosurgery |
| Zdroj: | ClinicoEconomics and Outcomes Research: CEOR |
| ISSN: | 1178-6981 |
| Popis: | Jay M Margolis,1 Elizabeth T Masters,2 Joseph C Cappelleri,3 David M Smith,1 Steven Faulkner4 1Truven Health Analytics, Life Sciences, Outcomes Research, Bethesda, MD, 2Pfizer Inc, Outcomes & Evidence, New York, NY, 3Pfizer Inc, Statistics, Groton, CT, 4Pfizer Inc, North American Medical Affairs, Medical Outcomes Specialists, St Louis, MO, USA Objective: The management of fibromyalgia (FM), a chronic musculoskeletal disease, remains challenging, and patients with FM are often characterized by high health care resource utilization. This study sought to explore potential drivers of all-cause health care resource utilization and other factors associated with high resource use, using a large electronic health records (EHR) database to explore data from patients diagnosed with FM. Methods: This was a retrospective analysis of de-identified EHR data from the Humedica database. Adults (≥18 years) with FM were identified based on ≥2 International Classification of Diseases, Ninth Revision codes for FM (729.1) ≥30 days apart between January 1, 2008 and December 31, 2012 and were required to have evidence of ≥12 months continuous care pre- and post-index; first FM diagnosis was the index event; 12-month pre- and post-index reporting periods. Multivariable analysis evaluated relationships between variables and resource utilization. Results: Patients were predominantly female (81.4%), Caucasian (87.7%), with a mean (standard deviation) age of 54.4 (14.8) years. The highest health care resource utilization was observed for the categories of “medication orders” and “physician office visits,” with 12-month post-index means of 21.2 (21.5) drug orders/patient and 15.1 (18.1) office visits/patient; the latter accounted for 73.3% of all health care visits. Opioids were the most common prescription medication, 44.3% of all patients. The chance of high resource use was significantly increased (P |
| Databáze: | OpenAIRE |
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