title: Intervention to improve dyslipidemia screening in hospitalized diabetics.
abstract: Using an automated method to prospectively identify diabetic patients, we measured the impact of an administrative policy to perform LDL-cholesterol (LDL-c) testing on all diabetics not having the test performed within a specified time period. Automatic testing resulted in significant increases in LDL-c testing rate, and identified a greater proportion of patients who were candidates for statins. Further interventions are needed to increase prescriptions for lipid-lowering therapy.
authors.affiliation: BJC Healthcare, Center for Quality & Effectiveness, St. Louis, MO, USA.
authors.forename: Richard
authors.initials: R
authors.lastname: Reichley
authors.forename: Erin
authors.initials: E
authors.lastname: Rachmiel
authors.forename: Terry
authors.initials: T
authors.lastname: Seaton
authors.forename: Laura
authors.initials: L
authors.lastname: Noirot
authors.forename: Daniel
authors.initials: D
authors.lastname: Longyhore
authors.forename: Wm C
authors.initials: WC
authors.lastname: Dunagan
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Bailey
mesh_terms: D001774:Blood Chemical Analysis / Q000706:statistics & numerical data; D008078:Cholesterol, LDL / Q000097:blood*; D048909:Diabetes Complications / Q000175:diagnosis*; D050171:Dyslipidemias / Q000175:diagnosis*; D006760:Hospitalization; D006801:Humans
chemical_list: D008078:Cholesterol, LDL