4.4 Article

The Association of Complementary and Alternative Medicine Use and Health Care Expenditures for Back and Neck Problems

Journal

MEDICAL CARE
Volume 50, Issue 12, Pages 1029-1036

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MLR.0b013e318269e0b2

Keywords

back and neck pain; complementary and alternative medicine; expenditures

Funding

  1. National Center for Complementary and Alternative Medicine (NCCAM) [R01AT005061]

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Background: Health care costs associated with use of complementary and alternative medicine (CAM) by patients with spine problems have not been studied in a national sample. Objectives: To estimate the total and spine-specific medical expenditures among CAM and non-CAM users with spine problems. Research Design: Analysis of the 2002-2008 Medical Expenditure Panel Survey. Subjects: Adults (above 17 y) with self-reported neck and back problems who did or did not use CAM services. Measures: Survey-weighted generalized linear regression and propensity matching to examine expenditure differences between CAM users and non-CAM users while controlling for patient, socioeconomic, and health characteristics. Results: A total of 12,036 respondents with spine problems were included, including 4306 (35.8%) CAM users (40.8% in weighted sample). CAM users had significantly better self-reported health, education, and comorbidity compared with non-CAM users. Adjusted annual medical costs among CAM users was $424 lower (95% confidence interval: $240, $609; P < 0.001) for spine-related costs, and $796 lower (95% confidence interval: $121, $1470; P = 0.021) for total health care cost than among non-CAM users. Average expenditure for CAM users, based on propensity matching, was $526 lower for spine-specific costs (P < 0.001) and $298 lower for total health costs (P = 0.403). Expenditure differences were primarily due to lower inpatient expenditures among CAM users. Conclusions: CAM users did not add to the overall medical spending in a nationally representative sample with neck and back problems. As the causal associations remain unclear in these cross-sectional data, future research exploring these cost differences might benefit from research designs that minimize confounding.

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