Journal of the International Neuropsychological Society



Predicting change with the RBANS in a community dwelling elderly sample


KEVIN  DUFF  a1 c1 , MIKE R.  SCHOENBERG  a2 , DOYLE  PATTON  a3 , JAMES  MOLD  a4 , JAMES G.  SCOTT  a3 and RUSSELL L.  ADAMS  a3
a1 Department of Psychiatry, University of Iowa, Iowa City
a2 University Hospitals of Cleveland and Case Western Reserve University School of Medicine, Department of Neurology, Cleveland, Ohio
a3 Department of Psychiatry & Behavioral Sciences, University at Oklahoma Health Sciences Center, Oklahoma City
a4 Department of Family Medicine, University at Oklahoma Health Sciences Center, Oklahoma City

Article author query
duff k   [PubMed][Google Scholar] 
schoenberg mr   [PubMed][Google Scholar] 
patton d   [PubMed][Google Scholar] 
mold j   [PubMed][Google Scholar] 
scott jg   [PubMed][Google Scholar] 
adams rl   [PubMed][Google Scholar] 

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. (JINS, 2004, 10, 828–834.)

(Received September 29 2003)
(Revised February 6 2004)
(Accepted March 29 2004)


Key Words: Predicting cognitive change; RBANS; Older adults; Neuropsychology.

Correspondence:
c1 Reprint requests to: Kevin Duff, Ph.D., University of Iowa, Department of Psychiatry, MEB 1-308, Iowa City, IA 52242-1000. E-mail: kevin-duff@uiowa.edu