DRIVERS OF HEALTHCARE RESOURCE UTILIZATION AND FACTORS ASSOCIATED WITH INCREASED RESOURCE USE IN PATIENTS WITH FIBROMYALGIA- AN EVALUATION USING ELECTRONIC MEDICAL RECORDS

Author(s)

Margolis J1, Masters ET2, Cappelleri JC3, Smith DM4, Faulkner ST5, Thompson E4
1Truven Health Analytics, Bala Cynwyd, PA, USA, 2Pfizer Inc., New York, NY, USA, 3Pfizer Inc., Groton, CT, USA, 4Truven Health Analytics, Bethesda, MD, USA, 5Pfizer Inc., Edwardsville, IL, USA

OBJECTIVES: To explore use of electronic medical records (EMR) for identifying drivers of all-cause healthcare resource utilization and factors associated with increased resource use in patients with fibromyalgia (FM). METHODS: This retrospective analysis used structured de-identified EMR data from the Humedica database including demographics, clinical characteristics, healthcare resource utilization, and prescriptions. Adults (≥18 years) with FM were identified based on ≥2 ICD-9 codes for FM (729.1) ≥30 days apart between January 1, 2008 and December 31, 2012, and were required to have ≥12 months continuous enrollment pre- and post-index; the first FM diagnosis was the index event. Multivariate analysis using generalized linear models evaluated how demographic and clinical characteristics relate to 12-month post-index resource utilization.  RESULTS: Patients were predominantly female (81.4%), Caucasian (87.7%), with a mean±SD age of 54.4±14.8 years. Primary drivers of resource utilization were “medication orders” and “physician office visits,” used by 91.6% and 87.5% of patients, respectively, with 12-month post-index means of 21±21.5 drug orders/patient and 15.1±18.1 office visits/patient, the latter accounting for 73.3% of all healthcare visits. Opioids were the most common prescription medication, 44.3% of patients. The chance of being a high healthcare resource utilizer was significantly increased (p<0.001) 1.26-fold among African-Americans relative to Caucasians and for patients with specific comorbid conditions ranging from 1.06-fold (musculoskeletal pain and depression/bipolar disorder) to 1.21-fold (congestive heart failure). Similarly, factors significantly (p<0.001) associated with increased number of medications ordered included being female (1.23-fold) and the presence of conditions such as sleep disorders (1.08-fold), depression/bipolar disorder (1.07-fold), and anxiety (1.06-fold). CONCLUSIONS: Physician office visits and pharmacotherapy were drivers of all-cause healthcare utilization; opioids were the most commonly prescribed medication class. Comorbid conditions were key factors associated with high resource use. EMR can be a useful tool for identifying and potentially managing FM patients with high healthcare resource utilization.

Conference/Value in Health Info

2015-05, ISPOR 2015, Philadelphia, PA, USA

Value in Health, Vol. 18, No. 3 (May 2015)

Code

PSY78

Topic

Health Service Delivery & Process of Care

Topic Subcategory

Health Care Research

Disease

Systemic Disorders/Conditions

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