Clinical risk factors for fracture among postmenopausal patients at risk for fracture: A historical cohort study using electronic medical record data

Joanne LaFleur, Carrie McAdam-Marx, Stephen S. Alder, Xiaoming Sheng, Carl V. Asche, Jonathan Nebeker, Diana I. Brixner, Stuart L. Silverman

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Osteoporosis represents a growing health burden, but recognition and screening rates are low. Electronic reminders for osteoporosis have been beneficial but are not based on clinical risk factors. Available risk screening tools may contain useful constructs for creating risk-based electronic medical record (EMR) reminders. Using a cohort study design among women C50 years with osteoporosis or osteoporosis risk, we searched the EMR for five World Health Organization (WHO) clinical risk factors including older age, lower body mass index (BMI), low bone mineral density (BMD), history of fracture since age 50, and maternal history of osteoporosis or fracture. Rates of reporting were lower than expected for BMD (6.8%), personal history of fracture (3.5%), and maternal history of fracture (0.3%). Despite the limitations, the EMR data were useful for identifying women at highest risk for fracture. Some evidence of bias in reporting rates was present. EMR data can be useful for identifying high fracture risk patients.

Original languageEnglish (US)
Pages (from-to)193-200
Number of pages8
JournalJournal of Bone and Mineral Metabolism
Volume29
Issue number2
DOIs
StatePublished - Mar 2011
Externally publishedYes

Keywords

  • Electronic medical record systems
  • Fractures
  • Osteoporosis
  • Risk factors

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Orthopedics and Sports Medicine
  • Endocrinology

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