| Literature DB >> 20686803 |
Joanne LaFleur1, Carrie McAdam-Marx, Stephen S Alder, Xiaoming Sheng, Carl V Asche, Jonathan Nebeker, Diana I Brixner, Stuart L Silverman.
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 ≥50 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.Entities:
Mesh:
Year: 2010 PMID: 20686803 DOI: 10.1007/s00774-010-0207-y
Source DB: PubMed Journal: J Bone Miner Metab ISSN: 0914-8779 Impact factor: 2.626