Test–Retest Reliability and Reliable Change on the NIH Toolbox Cognition Battery

Author:

Karr Justin E12ORCID,Ingram Eric O12ORCID,Pinheiro Cristina N12,Ali Sheliza34,Iverson Grant L5678

Affiliation:

1. Department of Psychology , College of Arts and Sciences, , Lexington, KY , USA

2. University of Kentucky , College of Arts and Sciences, , Lexington, KY , USA

3. Department of Neurology , College of Medicine, , Lexington, KY , USA

4. University of Kentucky , College of Medicine, , Lexington, KY , USA

5. Department of Physical Medicine and Rehabilitation, Harvard Medical School , Boston, MA , USA

6. Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital , Charlestown, MA , USA

7. Department of Physical Medicine and Rehabilitation, Schoen Adams Research Institute at Spaulding Rehabilitation , Charlestown, MA , USA

8. Home Base, A Red Sox Foundation and Massachusetts General Hospital Program , Charlestown, MA , USA

Abstract

Abstract Objective Researchers and practitioners can detect cognitive improvement or decline within a single examinee by applying a reliable change methodology. This study examined reliable change through test–retest data from the English-language National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) normative sample. Method Participants included adults (n = 138; age: M ± SD = 54.8 ± 20.0, range: 18–85; 51.4% men; 68.1% White) who completed test–retest assessments about a week apart on five fluid cognition tests, providing raw scores, age-adjusted standard scores (SS), and demographic-adjusted T-scores (T). Results The Fluid Cognition Composite (SS: ICC = 0.87; T-score: ICC = 0.84) and the five fluid cognition tests had good test–retest reliability (SS: ICC range = 0.66–0.85; T-score: ICC range = 0.64–0.86). The lower and upper bounds of 70%, 80%, and 90% confidence intervals (CIs) were calculated around change scores, which serve as cutoffs for determining reliable change. Using T-scores, 90% CI, and adjustment for practice effects, 32.3% declined on one or more tests, 9.7% declined on two or more tests, 36.6% improved on one or more tests, and 5.4% improved on two or more tests. Conclusions It was common for participants to show reliable change on at least one test score, but not two or more test scores. Per an 80% CI, test–retest difference scores beyond these cutoffs would indicate reliable change: Dimensional Change Card Sort (SS ≥ 14/T ≥ 10), Flanker (SS ≥ 12/T ≥ 8), List Sorting (SS ≥ 14/T ≥ 10), Picture Sequence Memory (SS ≥ 19/T ≥ 13), Pattern Comparison (SS ≥ 11/T ≥ 8), and Fluid Cognition Composite (SS ≥ 10/T ≥ 7). The reliable change cutoffs could be applied in research or practice to detect within-person change in fluid cognition at the individual level.

Funder

Building Interdisciplinary Research Careers in Women's Health

National Institute on Drug Abuse

National Institutes of Health

NanoDX®, Sway Operations, LLC, and Highmark, Inc

ImPACT Applications, Inc.

CNS Vital Signs, and Psychological Assessment Resources

National Rugby League, Boston Bolts

Schoen Adams Research Institute at Spaulding Rehabilitation

Publisher

Oxford University Press (OUP)

Reference32 articles.

1. Norming plans for the NIH Toolbox;Beaumont;Neurology,2013

2. To Change is human: “Abnormal” reliable change memory scores are common in healthy adults and older adults;Brooks;Archives of Clinical Neuropsychology,2016

3. Reliable change on memory tests is common in healthy children and adolescents;Brooks;Archives of Clinical Neuropsychology,2017

4. NIH toolbox cognitive battery (NIHTB-CB): The NIHTB pattern comparison processing speed test;Carlozzi;Journal of the International Neuropsychological Society,2014

5. Demographically corrected normative standards for the English version of the NIH Toolbox Cognition Battery;Casaletto;Journal of the International Neuropsychological Society,2015

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