Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting change with the RBANS in a community dwelling elderly sample.

Kevin Duff1, Mike R Schoenberg, Doyle Patton

  • 1University of Iowa, Department of Psychiatry, Iowa City, 52242-1000, USA. kevin-duff@uiowa.edu

Journal of the International Neuropsychological Society : JINS
|January 8, 2005
PubMed
Summary

Clinicians can now better assess cognitive changes in older adults using new regression-based prediction formulas for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). These formulas accurately predict follow-up scores, aiding in the determination of clinically significant changes.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cumulative Adverse Childhood Experiences and Multiple Neurodevelopmental Disorders in Children and Adolescents: A Population-Based Study.

Stress and health : journal of the International Society for the Investigation of Stress·2026
Same author

Diagnostic complexities of autism and psychosis: A commentary on the ANZJP GRADE guidelines for the management of schizophrenia.

The Australian and New Zealand journal of psychiatry·2026
Same author

Managing in war, planning for peace: second report of The Lancet Psychiatry Commission on mental health in Ukraine.

The lancet. Psychiatry·2026
Same author

Initial physical health assessment for psychosis in Australia and New Zealand: 2026 recommendations.

The Australian and New Zealand journal of psychiatry·2026
Same author

Estimating burden of disease attributable to child maltreatment using findings from the Australian Child Maltreatment Study.

Epidemiology and psychiatric sciences·2026
Same author

Coping with Climate Change: Correlates of Adaptive and Maladaptive Coping in Young People.

Chronic stress (Thousand Oaks, Calif.)·2026

Area of Science:

  • Neuroscience
  • Gerontology
  • Psychometrics

Background:

  • Repeated neuropsychological assessments are crucial for monitoring cognitive health in aging populations.
  • Determining clinically significant change over time is a key challenge in geriatric neuropsychology.
  • Regression-based prediction formulas offer a method to compare expected versus observed performance.

Purpose of the Study:

  • To develop and validate regression-based prediction equations for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) indexes and total score.
  • To provide clinicians with tools to objectively assess cognitive change in older adults.
  • To enhance the clinical utility of neuropsychological testing in geriatric populations.

Main Methods:

  • Developed multiple regression-based prediction equations for the 5 RBANS Indexes and Total Score.

Related Experiment Videos

  • Utilized a sample of 223 community-dwelling older adults for equation development.
  • Validated the prediction algorithms on an independent sample of 222 older adults.

    • Main Results:

    • Minimal differences were observed between predicted and actual follow-up RBANS scores in the validation sample.
    • The developed prediction formulas demonstrated strong predictive accuracy for cognitive performance in older adults.
    • The findings suggest the algorithms are clinically useful for practitioners assessing this demographic.

    Conclusions:

    • Regression-based prediction formulas for the RBANS are a valuable tool for clinicians evaluating older adults.
    • These formulas facilitate the objective determination of clinically significant cognitive change.
    • The study supports the clinical utility and reliability of these prediction algorithms in geriatric neuropsychology.