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Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

Osteoporosis quality indicators using healthcare utilization data.

S M Cadarette1, S B Jaglal, L Raman-Wilms

  • 1Leslie Dan Faculty of Pharmacy, University of Toronto, Leslie L. Dan Pharmacy Building, 144 College Street, Toronto, ON M5S 3M2, Canada. s.cadarette@utoronto.ca

Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
|June 26, 2010
PubMed
Summary
This summary is machine-generated.

Healthcare utilization data accurately identifies osteoporosis management quality through dual-energy X-ray absorptiometry (DXA) testing and pharmacotherapy. However, claims data alone are insufficient for diagnosing underlying osteoporosis.

Related Experiment Videos

Last Updated: Jun 12, 2026

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

Area of Science:

  • Gerontology
  • Health Services Research
  • Pharmacoeconomics

Background:

  • Osteoporosis management quality in older women is crucial, with key indicators including risk assessment via dual-energy X-ray absorptiometry (DXA) and pharmacotherapy initiation within six months post-fracture.
  • Evaluating these quality indicators necessitates reliable data sources.

Purpose of the Study:

  • To assess the utility of healthcare utilization data, specifically medical and pharmacy claims, as quality indicators for osteoporosis management.
  • To determine the accuracy of claims data in identifying DXA testing and pharmacotherapy use.

Main Methods:

  • Linked self-reported osteoporosis management data from 858 women (aged >65) to their medical and pharmacy claims.
  • Calculated agreement between self-reported pharmacotherapy and claims using kappa statistics.
  • Determined the sensitivity and specificity of medical claims for identifying DXA testing and the combined claims data for identifying DXA-documented osteoporosis.

Main Results:

  • Claims data demonstrated high accuracy in identifying dual-energy X-ray absorptiometry (DXA) testing (sensitivity 98%, specificity 93%) and osteoporosis pharmacotherapy (kappa = 0.81).
  • Medical and pharmacy claims showed moderate accuracy (sensitivity 80%, specificity 72%) in identifying women with DXA-documented osteoporosis.

Conclusions:

  • Healthcare utilization data, particularly claims, serve as a valid and minimally error-prone method for monitoring the quality of osteoporosis care processes, such as DXA testing and pharmacotherapy.
  • Claims data alone are not a reliable method for identifying individuals with underlying osteoporosis.