title: Comparison of two drug-burden computational procedures applied to anticholinergic drugs.
abstract: Two computational procedures for estimating continuous drug-burden scores are compared, using a simulation study based on a sample of patients exposed to anticholinergic medications. Both procedures seek to quantify the medication burden to overcome the limitations of a binary classification of exposure. An artificial neural network procedure renders better statistical properties than a linear weighted score, even when both scores are correlated and are viable alternatives to binary classification.
authors.affiliation: Department of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.
authors.forename: Patricia W
authors.initials: PW
authors.lastname: Slattum
authors.forename: Christina
authors.initials: C
authors.lastname: Vargas-Irwin
authors.forename: Sheetal P
authors.initials: SP
authors.lastname: Dharia
authors.forename: Jaime R
authors.initials: JR
authors.lastname: Robles
mesh_terms: D000465:Algorithms; D018680:Cholinergic Antagonists / Q000008:administration & dosage* / Q000009:adverse effects*; D003198:Computer Simulation; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D016896:Treatment Outcome; D014768:Virginia
chemical_list: D018680:Cholinergic Antagonists