Literature DB >> 20586521

Patterns of healthcare utilization and cost in patients with newly diagnosed fibromyalgia.

Ariel Berger1, Alesia Sadosky, Ellen M Dukes, John Edelsberg, Gergana Zlateva, Gerry Oster.   

Abstract

OBJECTIVES: To compare healthcare utilization and costs in the year preceding and following initial diagnosis of fibromyalgia (FM).
METHODS: Using a large US health insurance claims database, we identified all persons with newly diagnosed FM (International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code 729.1) between January 1, 2003, and December 31, 2005 ("FM patients"). Each patient's first-noted claim with a diagnosis of FM was designated the "index date," and all pharmacy, outpatient, and inpatient claims were compiled over the 12-month periods preceding and following this date ("prediagnosis" and "postdiagnosis," respectively). Patients with incomplete pre- or postdiagnosis data were excluded. Healthcare utilization and costs were compared between the 2 periods.
RESULTS: A total of 1803 patients met all study inclusion criteria; mean (SD) age was 50.4 (9.4) years; 91% were women. Comorbidities were common, including arthritis (21% of study subjects), back pain (20%), and painful neuropathic disorders (16%). The percentage of study subjects receiving various pain-related medications increased from pre- to postdiagnosis, including opioids (51.3% vs 55.9%), antiepileptics (22.6% vs 28.6%), and tricyclic antidepressants (15.5% vs 21.2%) (all P <.01). Mean total healthcare costs also increased by $1725 between these periods (mean [95% confidence interval]: $9324 [$8655, $10,092] vs $11,049 [$10,245, $11,973], respectively; P <.01).
CONCLUSIONS: Patients with FM are often seen for other medical problems prior to initial diagnosis. Levels of healthcare utilization and costs are high during both the pre- and postdiagnosis periods.

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Year:  2010        PMID: 20586521

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  14 in total

1.  Feasibility of Auricular Field Stimulation in Fibromyalgia: Evaluation by Functional Magnetic Resonance Imaging, Randomized Trial.

Authors:  Anna Woodbury; Venkatagiri Krishnamurthy; Melat Gebre; Vitaly Napadow; Corinne Bicknese; Mofei Liu; Joshua Lukemire; Jerry Kalangara; Xiangqin Cui; Ying Guo; Roman Sniecinski; Bruce Crosson
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2.  Pain characteristics in fibromyalgia: understanding the multiple dimensions of pain.

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3.  Prevalence of fibromyalgia: a population-based study in Olmsted County, Minnesota, utilizing the Rochester Epidemiology Project.

Authors:  Ann Vincent; Brian D Lahr; Frederick Wolfe; Daniel J Clauw; Mary O Whipple; Terry H Oh; Debra L Barton; Jennifer St Sauver
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Review 4.  Fibromyalgia: A Critical and Comprehensive Review.

Authors:  Andrea T Borchers; M Eric Gershwin
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5.  Validity and reliability of the Spanish version of the 10-item CD-RISC in patients with fibromyalgia.

Authors:  Blanca Notario-Pacheco; Vicente Martínez-Vizcaíno; Eva Trillo-Calvo; Mari Cruz Pérez-Yus; Dolores Serrano-Parra; Javier García-Campayo
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6.  Electronic medical record data to identify variables associated with a fibromyalgia diagnosis: importance of health care resource utilization.

Authors:  Elizabeth T Masters; Jack Mardekian; Birol Emir; Andrew Clair; Max Kuhn; Stuart L Silverman
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7.  Fibromyalgia-related costs and loss of productivity: a substantial societal burden.

Authors:  Anaïs Lacasse; Patricia Bourgault; Manon Choinière
Journal:  BMC Musculoskelet Disord       Date:  2016-04-16       Impact factor: 2.362

8.  Evaluating increased resource use in fibromyalgia using electronic health records.

Authors:  Jay M Margolis; Elizabeth T Masters; Joseph C Cappelleri; David M Smith; Steven Faulkner
Journal:  Clinicoecon Outcomes Res       Date:  2016-11-16

9.  Real-world comparison of health care utilization between duloxetine and pregabalin initiators with fibromyalgia.

Authors:  X Peng; P Sun; D Novick; J Andrews; S Sun
Journal:  J Pain Res       Date:  2014-01-09       Impact factor: 3.133

10.  Health care resource use and cost differences by opioid therapy type among chronic noncancer pain patients.

Authors:  Pamela B Landsman-Blumberg; Nathaniel Katz; Kavita Gajria; Anna O D'Souza; Sham L Chaudhari; Paul P Yeung; Richard White
Journal:  J Pain Res       Date:  2017-07-21       Impact factor: 3.133

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