Use of complementary and alternative medicine providers by fibromyalgia patients under insurance coverage

Published: February 15, 2007
Category: Bibliography > Papers
Authors: Diehr PK, Grembowski DE, Lafferty WE, Lind BK, Tyree PT
Countries: United States
Language: null
Types: Population Health
Settings: Academic

Arthritis Rheum 57:71-76.

University of Washington, Seattle, WA, and Boise State University, Boise, ID, USA

OBJECTIVE: To quantify how visits and expenditures differ between insured patients with fibromyalgia syndrome (FMS) who visit complementary and alternative medicine (CAM) providers compared with patients with FMS who do not. Patients with FMS were also compared with an age- and sex-matched comparison group without FMS.

METHODS: Calendar year 2002 claims data from 2 large insurers in Washington state were analyzed for provider type (CAM versus conventional), patient comorbid medical conditions, number of visits, and expenditures.

RESULTS: Use of CAM by patients with FMS was 2.5 times higher than in the comparison group without FMS (56% versus 21%). Patients with FMS who used CAM had more health care visits than patients with FMS not using CAM (34 versus 23; P 0.001); however, CAM users had similar expenditures to nonusers among patients with FMS ($4,638 versus $4,728; not significant), because expenditure per CAM visit is lower than expenditure per conventional visit. Patients with FMS wo used CAM also had heavier overall disease burdens than those not using CAM.

CONCLUSION: With insurance coverage, a majority of patients with FMS will visit CAM providers. The sickest patients use more CAM, leading to an increased number of health care visits. However, CAM use is not associated with higher overall expenditures. Until a cure for FMS is found, CAM providers may offer an economic alternative for patients with FMS seeking symptomatic relief.

PMID: 17266066
PMCID: PMC1853385

Resource Use,Practice Patterns Comparison,Co-morbidity,Medical Conditions,United States,Adolescent,Adult,Case-Control Studies,Cost-Benefit Analysis,Cross-Sectional Studies,Gender,Insurance Coverage,Insurance,Health/statistics & numerical data,Logistic Models,Middle Aged,Office Visits/economics,Office Visits/statistics & numerical data,Washington

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