title: Predictors of osteoporosis screening completion rates in a primary care practice.
abstract: The United States Preventive Services Task Force and the National Osteoporosis Foundation recommend routine osteoporosis screening for women aged 65 years or older. Previous studies have shown that the use of a clinical decision-support tool significantly improves screening rates. In a recently published study, a statistically significant improvement was found in the screening rates for eligible women with use of the tool. To evaluate whether a clinical decision-support tool independently predicts completion of osteoporosis screening tests and to identify predictors of screening completion, we examined the records of 2462 female patients who were eligible for osteoporosis screening but had no prior baseline screening and who were seen in our primary care practices in 2007 and 2008. Patient and provider characteristics and clinic visit type were identified, and their association with screening test completion was statistically analyzed using both univariate and multivariate models. Screening completion rates increased significantly from 2007 to 2008. Factors associated with increased likelihood of screening completion included race, marital status, residence, presence of comorbidity (cancer, rheumatologic disease), and the year and type of visit. Screening was less likely for women aged 80 years or older. The use of a point-of-care decision-support tool not only improved osteoporosis screening rates significantly but appeared to be an independent predictor of screening completion. It potentially can facilitate the systematic and effective delivery of preventive health services to patients in the primary care setting.
authors.affiliation: Division of Primary Care Internal Medicine, Center for Innovation, Mayo Clinic, Rochester, Minnesota 55905, USA. dejesus.ramona@mayo.edu
authors.forename: Ramona S
authors.initials: RS
authors.lastname: DeJesus
authors.forename: Rajeev
authors.initials: R
authors.lastname: Chaudhry
authors.forename: Kurt B
authors.initials: KB
authors.lastname: Angstman
authors.forename: Stephen S
authors.initials: SS
authors.lastname: Cha
authors.forename: Sidna M
authors.initials: SM
authors.lastname: Tulledge-Scheitel
authors.forename: Rebecca L
authors.initials: RL
authors.lastname: Kesman
authors.forename: Matthew E
authors.initials: ME
authors.lastname: Bernard
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Stroebel
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data; D005260:Female; D005544:Forecasting; D006801:Humans; D008403:Mass Screening / Q000706:statistics & numerical data*; D015233:Models, Statistical; D010024:Osteoporosis / Q000175:diagnosis*; D011320:Primary Health Care; D014481:United States