Predicting change with the RBANS in a community dwelling elderly sample

Journal Name: 
J Int Neuropsychol Soc
Authors: 
Duff,K.
Schoenberg,M.R.
Patton,D.
Mold,J.
Scott,J.G.
Adams,R.L.
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 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
10
2004
Volume: 
10
Pages: 
828-834
Keywords: 
Adult, Aged, Aging, Algorithms, Attention, Cognition, community, Comparison, differences, elderly, Female, Humans, Iowa, Language, Longitudinal Studies, Male, Memory, Neuropsychological Tests, older, patient, physiology, Predictive Value of Tests, Psychiatry, psychology, Regression Analysis, Reproducibility of Results, Research, Research Support, support, Universities