Journal article
Regression-based formulas for predicting change in RBANS subtests with older adults
Archives of clinical neuropsychology, Vol.20(3), pp.281-290
2005
DOI: 10.1016/j.acn.2004.07.007
PMID: 15797165
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.
Details
- Title: Subtitle
- Regression-based formulas for predicting change in RBANS subtests with older adults
- Creators
- Kevin Duff - Department of Psychiatry, University of Iowa, MEB 1-308, Iowa City, IA 52242-1000, USAMike R Schoenberg - Department of Neurology, University Hospitals of Cleveland and Case Western Reserve University School of Medicine, USADoyle Patton - Department of Psychiatry and Behavioral Sciences, University at Oklahoma Health Sciences Center, USAJane S Paulsen - Department of Psychiatry, University of Iowa, MEB 1-308, Iowa City, IA 52242-1000, USAJohn D Bayless - Department of Psychiatry, University of Iowa, MEB 1-308, Iowa City, IA 52242-1000, USAJames Mold - Department of Family Medicine, University at Oklahoma Health Sciences Center, USAJames G Scott - Department of Psychiatry and Behavioral Sciences, University at Oklahoma Health Sciences Center, USARussell L Adams - Department of Psychiatry and Behavioral Sciences, University at Oklahoma Health Sciences Center, USA
- Resource Type
- Journal article
- Publication Details
- Archives of clinical neuropsychology, Vol.20(3), pp.281-290
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.acn.2004.07.007
- PMID
- 15797165
- ISSN
- 0887-6177
- eISSN
- 1873-5843
- Language
- English
- Date published
- 2005
- Academic Unit
- Psychiatry; Psychological and Brain Sciences; Internal Medicine
- Record Identifier
- 9984083232602771
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