ClinicalTrials.gov Identifiers: NCT00688155 (SHARP); NCT01072500 (LIFE)
Performance of a computer-based assessment of cognitive function measures in two cohorts of seniors†
Article first published online: 16 APR 2013
Copyright © 2013 John Wiley & Sons, Ltd.
International Journal of Geriatric Psychiatry
Volume 28, Issue 12, pages 1239–1250, December 2013
How to Cite
Espeland, M. A., Katula, J. A., Rushing, J., Kramer, A. F., Jennings, J. M., Sink, K. M., Nadkarni, N. K., Reid, K. F., Castro, C. M., Church, T., Kerwin, D. R., Williamson, J. D., Marottoli, R. A., Rushing, S., Marsiske, M., Rapp, S. R. and LIFE Study Group (2013), Performance of a computer-based assessment of cognitive function measures in two cohorts of seniors. Int. J. Geriat. Psychiatry, 28: 1239–1250. doi: 10.1002/gps.3949
- Issue published online: 5 NOV 2013
- Article first published online: 16 APR 2013
- Manuscript Accepted: 29 JAN 2013
- Manuscript Received: 27 NOV 2012
- National Institutes of Health/National Institute on Aging Cooperative Agreement. Grant Number: (#UO1 AG22376
- National Heart, Lung and Blood Institute. Grant Number: 3U01AG022376-05A2S
- Intramural Research Program, National Institute on Aging, NIH
- cognitive function;
- clinical trial;
- performance measures
Computer-administered assessment of cognitive function is being increasingly incorporated in clinical trials; however, its performance in these settings has not been systematically evaluated.
The Seniors Health and Activity Research Program pilot trial (N = 73) developed a computer-based tool for assessing memory performance and executive functioning. The Lifestyle Interventions and Independence for Elders investigators incorporated this battery in a full-scale multicenter clinical trial (N = 1635). We describe relationships that test scores have with those from interviewer-administered cognitive function tests and risk factors for cognitive deficits and describe performance measures (completeness, intraclass correlations [ICC]).
Computer-based assessments of cognitive function had consistent relationships across the pilot and full-scale trial cohorts with interviewer-administered assessments of cognitive function, age, and a measure of physical function. In the Lifestyle Interventions and Independence for Elders cohort, their external validity was further demonstrated by associations with other risk factors for cognitive dysfunction: education, hypertension, diabetes, and physical function. Acceptable levels of data completeness (>83%) were achieved on all computer-based measures; however, rates of missing data were higher among older participants (odds ratio = 1.06 for each additional year; p < 0.001) and those who reported no current computer use (odds ratio = 2.71; p < 0.001). ICCs among clinics were at least as low (ICC < 0.013) as for interviewer measures (ICC < 0.023), reflecting good standardization. All cognitive measures loaded onto the first principal component (global cognitive function), which accounted for 40% of the overall variance.
Our results support the use of computer-based tools for assessing cognitive function in multicenter clinical trials of older individuals. Copyright © 2013 John Wiley & Sons, Ltd.