Geographic Variation in Diagnostic Ability and Quality of Care Metrics: A Case Study of Ankylosing Spondylitis and Low Back Pain

Inquiry. 2017 Jan 1:54:46958017707873. doi: 10.1177/0046958017707873.

Abstract

Studies examining geographic variation in care for low back pain often focus on process and outcome measures conditional on patient diagnosis but generally do not take into account a physician's ability to diagnose the root cause of low back pain. In our case study, we used increased detection of ankylosing spondylitis-a relatively rare inflammatory back disease-as a proxy for diagnostic ability and measured the relationship between ankylosing spondylitis detection, potentially inappropriate low back pain care, and cost. Using 5 years of health insurance claims data, we found significant variation in ankylosing spondylitis detection across metropolitan statistical areas (MSAs), with 8.1% of the variation in detection explained by a region's racial composition. Furthermore, low back pain patients in MSAs with higher ankylosing spondylitis detection had 7.9% lower use of corticosteroids, 9.0% lower use of opioids, and 8.2% lower pharmacy cost, compared with patients living in low-detection MSAs.

Keywords: back pain; diagnosis; health care costs.

Publication types

  • Case Reports
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cost of Illness
  • Female
  • Geography, Medical*
  • Humans
  • Insurance Claim Review / economics
  • Low Back Pain / diagnosis*
  • Low Back Pain / economics
  • Male
  • Medicare / economics
  • Middle Aged
  • Organizational Case Studies
  • Quality of Health Care / economics*
  • Spondylitis, Ankylosing / diagnosis*
  • Spondylitis, Ankylosing / economics
  • United States