TY - JOUR
T1 - Clinical risk factors for fracture among postmenopausal patients at risk for fracture
T2 - A historical cohort study using electronic medical record data
AU - LaFleur, Joanne
AU - McAdam-Marx, Carrie
AU - Alder, Stephen S.
AU - Sheng, Xiaoming
AU - Asche, Carl V.
AU - Nebeker, Jonathan
AU - Brixner, Diana I.
AU - Silverman, Stuart L.
PY - 2011/3
Y1 - 2011/3
N2 - 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.
AB - 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.
KW - Electronic medical record systems
KW - Fractures
KW - Osteoporosis
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=79959962522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79959962522&partnerID=8YFLogxK
U2 - 10.1007/s00774-010-0207-y
DO - 10.1007/s00774-010-0207-y
M3 - Article
C2 - 20686803
AN - SCOPUS:79959962522
SN - 0914-8779
VL - 29
SP - 193
EP - 200
JO - Journal of Bone and Mineral Metabolism
JF - Journal of Bone and Mineral Metabolism
IS - 2
ER -