Predicting change with the RBANS in a community dwelling elderly sample.
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 determining the significance of change in the individual patient. In the current study, multiple regression-based prediction equations for the 5 Indexes and Total Score of the RBANS were developed for a sample of 223 community dwelling older adults. 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 are clinically useful for practitioners who assess older adults. A case example is presented that illustrates how the algorithms can be used clinically.
Duff
Kevin
K
University of Iowa, Department of Psychiatry, Iowa City, 52242-1000, USA. kevin-duff@uiowa.edu
Schoenberg
Mike R
MR
Patton
Doyle
D
Mold
James
J
Scott
James G
JG
Adams
Russell L
RL
D000368:Aged / Q000523:psychology*; D000375:Aging / Q000523:psychology*; D001288:Attention / Q000502:physiology; D003071:Cognition / Q000502:physiology; D005260:Female; D006801:Humans; D007802:Language; D008137:Longitudinal Studies; D008297:Male; D008568:Memory / Q000502:physiology; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D012044:Regression Analysis; D015203:Reproducibility of Results