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Evaluating increased resource use in fibromyalgia using electronic health records

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, November 2016
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Title
Evaluating increased resource use in fibromyalgia using electronic health records
Published in
ClinicoEconomics and Outcomes Research: CEOR, November 2016
DOI 10.2147/ceor.s112252
Pubmed ID
Authors

Jay M Margolis, Elizabeth T Masters, Joseph C Cappelleri, David M Smith, Steven Faulkner

Abstract

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. 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. 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<0.001) 26% among African-Americans vs Caucasians and for patients with specific comorbid conditions ranging from 6% (musculoskeletal pain or depression/bipolar disorder) to 21% (congestive heart failure). Factors significantly associated with increased medications ordered included being female (P<0.001) and specific comorbid conditions (P<0.05). Physician office visits and pharmacotherapy orders were key drivers of all-cause health care utilization, with demographic factors, opioid use, and specific comorbidities associated with resource intensity. Health systems and providers may find their EHRs to be a useful tool for identifying and managing resource-intensive FM patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Researcher 6 17%
Student > Master 5 14%
Student > Doctoral Student 4 11%
Student > Ph. D. Student 2 6%
Other 3 8%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 12 33%
Psychology 5 14%
Nursing and Health Professions 4 11%
Computer Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 11 31%