title: Regression-based formulas for predicting change in RBANS subtests with older adults.
abstract: Repeated neuropsychological assessments are common with older adults, and the determination of clinically significant change across time is an important issue. Regression-based prediction formulas have been utilized with other patient and healthy control samples to predict follow-up test performance based on initial performance and demographic variables. Comparisons between predicted and observed follow-up performances can assist clinicians in making the determination of change in the individual patient. The current study developed regression-based prediction equations for the twelve subtests of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) in a sample of 223 community dwelling older adults. All algorithms included both initial test performances and demographic variables. These algorithms were then validated on a separate elderly sample (n = 222). Minimal differences were present between Observed and Predicted follow-up scores in the Validation sample, suggesting that the prediction formulas would be useful for practitioners who assess older adults. A case example is presented that utilizes the formulas.
authors.affiliation: Department of Psychiatry, University of Iowa, MEB 1-308, Iowa City, IA 52242-1000, USA. kevin-duff@uiowa.edu
authors.forename: Kevin
authors.initials: K
authors.lastname: Duff
authors.forename: Mike R
authors.initials: MR
authors.lastname: Schoenberg
authors.forename: Doyle
authors.initials: D
authors.lastname: Patton
authors.forename: Jane S
authors.initials: JS
authors.lastname: Paulsen
authors.forename: John D
authors.initials: JD
authors.lastname: Bayless
authors.forename: James
authors.initials: J
authors.lastname: Mold
authors.forename: James G
authors.initials: JG
authors.lastname: Scott
authors.forename: Russell L
authors.initials: RL
authors.lastname: Adams
mesh_terms: D000367:Age Factors; D000368:Aged; D000465:Algorithms; D003072:Cognition Disorders / Q000175:diagnosis*; D005260:Female; D005500:Follow-Up Studies; D015577:Geriatric Assessment; D006801:Humans; D008297:Male; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D012044:Regression Analysis; D015203:Reproducibility of Results