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Naturalistic Assessment of Everyday Activities and Prompting Technologies in Mild Cognitive Impairment

Published online by Cambridge University Press:  25 January 2013

Adriana M. Seelye ,
Maureen Schmitter-Edgecombe ,
Diane J. Cook  and
Aaron Crandall
Adriana M. Seelye*
Affiliation:
Washington State University, Department of Psychology, Pullman, Washington
Maureen Schmitter-Edgecombe
Affiliation:
Washington State University, Department of Psychology, Pullman, Washington
Diane J. Cook
Affiliation:
Washington State University, School of Electrical Engineering and Computer Science, Pullman, Washington
Aaron Crandall
Affiliation:
Washington State University, School of Electrical Engineering and Computer Science, Pullman, Washington
*
Correspondence and reprint requests to: Adriana M. Seelye, Department of Psychology, Washington State University, P.O. Box 644820, Pullman, Washington 99164-4820. E-mail: aseelye@wsu.edu
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Abstract

Older adults with mild cognitive impairment (MCI) often have difficulty performing complex instrumental activities of daily living (IADLs), which are critical to independent living. In this study, amnestic multi-domain MCI (N = 29), amnestic single-domain MCI (N = 18), and healthy older participants (N = 47) completed eight scripted IADLs (e.g., cook oatmeal on the stove) in a smart apartment testbed. We developed and experimented with a graded hierarchy of technology-based prompts to investigate both the amount of prompting and type of prompts required to assist individuals with MCI in completing the activities. When task errors occurred, progressive levels of assistance were provided, starting with the lowest level needed to adjust performance. Results showed that the multi-domain MCI group made more errors and required more prompts than the single-domain MCI and healthy older adult groups. Similar to the other two groups, the multi-domain MCI group responded well to the indirect prompts and did not need a higher level of prompting to get back on track successfully with the tasks. Need for prompting assistance was best predicted by verbal memory abilities in multi-domain amnestic MCI. Participants across groups indicated that they perceived the prompting technology to be very helpful. (JINS, 2013, 19, 1–11)

Keywords

Ecological assessmentInstrumental activities of daily livingAgingDementiaSmart environment technologiesRehabilitation
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 19 , Issue 4 , April 2013 , pp. 442 - 452
Copyright
Copyright © The International Neuropsychological Society 2013

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References

Albert, M.S., DeKosky, S.T., Dickson, D., Dubois, B., Feldman, H.H., Fox, N.C., Phelps, C.H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's and Dementia, 7, 270–279.CrossRefGoogle ScholarPubMed
Allaire, J.C., Gamaldo, A., Ayotte, B.J., Sims, R., Whitfield, K. (2009). Mild cognitive impairment and objective instrumental everyday functioning: The everyday cognition battery memory test. [Research Support, N.I.H., Extramural]. Journal of the American Geriatric Society, 57(1), 120–125. doi:10.1111/j.1532-5415.2008.02054.xCrossRefGoogle ScholarPubMed
American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision. Washington, DC: American Psychiatric Press, Inc.Google Scholar
Aretouli, E., Brandt, J. (2010). Everyday functioning in mild cognitive impairment and its relationship with executive cognition. [Research Support, N.I.H., Extramural]. International Journal of Geriatric Psychiatry, 25(3), 224–233. doi:10.1002/gps.2325CrossRefGoogle ScholarPubMed
Aretouli, E., Okonkwo, O.C., Samek, J., Brandt, J. (2011). The fate of the 0.5s: Predictors of 2-year outcome in mild cognitive impairment. [Research Support, N.I.H., Extramural]. Journal of the International Neuropsychological Society, 17(2), 277–288. doi:10.1017/S1355617710001621CrossRefGoogle ScholarPubMed
Benedict, R.H.B. (1997). Brief visuospatial memory test – revised. Odessa, FL: Psychological Assessment Resources.Google Scholar
Brandt, J., Aretouli, E., Neijstrom, E., Samek, J., Manning, K., Albert, M.S., Bandeen-Roche, K. (2009). Selectivity of executive function deficits in mild cognitive impairment. [Research Support, N.I.H., Extramural]. Neuropsychology, 23(5), 607–618. doi:10.1037/a0015851CrossRefGoogle ScholarPubMed
Brandt, J., Welsh, K.A., Breitner, J.C., Folstein, M.F., Helms, M., Christian, J.C. (1993). Hereditary influences on cognitive functioning in older men. A study of 4000 twin pairs. [Research Support, U.S. Gov't, P.H.S.]. Archives of Neurology, 50(6), 599–603.CrossRefGoogle Scholar
Brooks, B.L. (2006). The relationship between executive functioning and independent living skills in mild cognitive impairment and mild dementia. University of Calgary, Dissertation Abstracts International: Section B: The Sciences and Engineering Vol 66(8-B), p 4473.Google Scholar
Brose, S.W., Weber, D.J., Salatin, B.A., Grindle, G.G., Wang, H., Vazquez, J.J., Cooper, R.A. (2010). The role of assistive robotics in the lives of persons with disability. [Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review]. American Journal of Physical Medicine Rehabilitation, 89(6), 509–521. doi:10.1097/PHM.0b013e3181cf569bCrossRefGoogle ScholarPubMed
Courtney, K.L. (2008). Privacy and senior willingness to adopt smart home information technology in residential care facilities. [Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't]. Methods of Information in Medicine, 47(1), 76–81.Google ScholarPubMed
Das, B., Chen, C., Seelye, A., Cook, D. (2011). An automated prompting system for smart environments. Paper presented at the 9th International Conference on Smart Homes and Health Telematics. Montreal.CrossRefGoogle Scholar
Delis, D.C., Kaplan, E., Kramer, J.H. (2001). Delis-Kaplan executive function system: Examiner's manual. San Antonio, TX: The Psychological Corporation.Google Scholar
Diehl, M., Marsiske, M., Horgas, A.L., Rosenberg, A., Saczynski, J.S., Willis, S.L. (2005). The revised observed tasks of daily living: A performance-based assessment of everyday problem solving in older adults. Journal of Applied Gerontology, 24(3), 211–230. doi:10.1177/0733464804273772CrossRefGoogle ScholarPubMed
Dlugaj, M., Weimar, C., Wege, N., Verde, P.E., Gerwig, M., Dragano, N., Siegrist, J. (2010). Prevalence of mild cognitive impairment and its subtypes in the Heinz Nixdorf Recall study cohort. [Research Support, Non-U.S. Gov't]. Dementia and Geriatric Cognitive Disorders, 30(4), 362–373. doi:10.1159/000320988CrossRefGoogle ScholarPubMed
Eckert, J.K., Morgan, L.A., Swamy, N. (2004). Preferences for receipt of care among community-dwelling adults. Journal of Aging & Social Policy, 16(2), 49–65. doi:10.1300/J031v16n02_04CrossRefGoogle ScholarPubMed
Farias, S.T., Mungas, D., Reed, B.R., Harvey, D.H., Cahn-Weiner, D., Decarli, C. (2006). MCI is associated with deficits in everyday living. Alzheimer's disease and Associated Disorders, 20(4), 217–223.CrossRefGoogle Scholar
Gold, D.A. (2012). An examination of instrumental activities of daily living assessment in older adults and mild cognitive impairment. [Research Support, Non-U.S. Gov't Review]. Journal of Clinical & Experimental Neuropsychology, 34(1), 11–34. doi:10.1080/13803395.2011.614598CrossRefGoogle ScholarPubMed
Greber, C., Ziviani, J., Rodger, S. (2007). The four quadrant model of facilitated learning: A clinically based action research project. Australian Occupational Therapy Journal, 54, 149–152.CrossRefGoogle Scholar
Griffith, H.R., Stewart, C.C., Stoeckel, L.E., Okonkwo, O.C., den Hollander, J.A., Martin, R.C., Marson, D.C. (2010). Magnetic resonance imaging volume of the angular gyri predicts financial skill deficits in people with amnestic mild cognitive impairment. [Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't]. Journal of the American Geriatric Society, 58(2), 265–274. doi:10.1111/j.1532-5415.2009.02679.xCrossRefGoogle ScholarPubMed
Hayes, T.L., Pavel, M., Kaye, J.A. (2004). An unobtrusive in-home monitoring system for detection of key motor changes preceding cognitive decline. Conference Proceedings in IEEE Engineering in Medicine & Biology Society, 4, 2480–2483. doi:10.1109/IEMBS.2004.1403715.CrossRefGoogle Scholar
Ivnik, R.J., Malec, J.F., Smith, G.E., Tangalos, E.G., Petersen, R.C. (1996). Neuropsychological testing norms above age 55: COWAT, BNT, MAE TOKEN, WRAT-R Reading, AMNART, Stroop, TMT, and JLO. The Clinical Neuropsychologist, 10, 262–278.CrossRefGoogle Scholar
Jak, A.J., Bondi, M.W., Delano-Wood, L., Wierenga, C., Corey-Bloom, J., Salmon, D.P., Delis, D.C. (2009). Quantification of five neuropsychological approaches to defining mild cognitive impairment. [Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.]. American Journal of Geriatric Psychiatry, 17(5), 368–375. doi:10.1097/JGP.0b013e31819431d5CrossRefGoogle ScholarPubMed
Lafortune, G., Balestat, G. (2007). Trends in severe disability among elderly people: Assessing the evidence in 12 OECD Countries and the future implications OECD Health Working Papers No. 26.Google Scholar
Measso, G., Cavarzeran, F., Zappalà, G., Lebowitz, B.D. (1993). The Mini-Mental State Examination: Normative study of an Italian random sample. Developmental Neuropsychology, 9, 77–85.CrossRefGoogle Scholar
Mihaildis, A., Boger, J., Craig, T., Hoey, J. (2008). The coach prompting system to assist older adults with dementia through handwashing: An efficacy study. Biomedical Geriatrics, 8(1), 28–46.CrossRefGoogle Scholar
Morris, J.C. (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. [Research Support, U.S. Gov't, P.H.S.]. Neurology, 43(11), 2412–2414.CrossRefGoogle ScholarPubMed
Nadler, A. (1997). Personality and help seeking: Autonomous versus dependent seeking of help. In G.R. Pierce, B. Lakey, I.G. Sarason, B.R. Sarason (Eds.), Sourcebook of social support and personality. (pp. 379–407). New York, NY: US Plenum Press.CrossRefGoogle Scholar
Petersen, R.C., Doody, R., Kurz, A., Mohs, R.C., Morris, J.C., Rabins, P.V., Winblad, B. (2001). Current concepts in mild cognitive impairment. [Research Support, Non-U.S. Gov't Review]. Archives of Neurology, 58(12), 1985–1992.CrossRefGoogle ScholarPubMed
Petersen, R.C., Morris, J.C. (2005). Mild cognitive impairment as a clinical entity and treatment target. [Comment Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.Review]. Archives of Neurology, 62(7), 1160–1163; discussion 1167. doi:10.1001/archneur.62.7.1160CrossRefGoogle ScholarPubMed
Reitan, R.M. (1992). Trail making test: Manual for administration and scoring. Tucson, AZ: Reitan Neuropsychology Laboratory.Google Scholar
Rudary, M., Singh, S., Pollack, M. (2004). Adaptive cognitive orthotics: Combining reinforcement learning andconstraint-based temporal reasoning. Paper presented at the The twenty-first international conference on Machine learning. Banff, Alberta.CrossRefGoogle Scholar
Salzhauer, A. (2005). Is there a patient in the house? : Harvard Business Review.Google Scholar
Schmitter-Edgecombe, M., Parsey, C., Cook, D.J. (2011). Cognitive correlates of functional performance in older adults: Comparison of self-report, direct observation, and performance-based measures. [Comparative Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't]. Journal of the International Neuropsychological Society, 17(5), 853–864. doi:10.1017/S1355617711000865CrossRefGoogle ScholarPubMed
Schmitter-Edgecombe, M., Woo, E., Greeley, D. (2009). Characterizing multiple memory deficits and their relation to everyday functioning in individuals with mild cognitive impairment. Neuropsychology, 23, 168–177.CrossRefGoogle ScholarPubMed
Seelye, A.M., Howieson, D.B., Wild, K., Sauceda, L.R., Kaye, J.A. (2009). Living well with MCI: Behavioral interventions for older adults with mild cognitive impairment. In R. Brougham (Ed.), New Directions in Aging Research: Health and Cognition (pp. 57–74). New York: Nova Science Publishers, Inc.Google Scholar
Seelye, A.M., Schmitter-Edgecombe, M., Das, B., Cook, D. (2012). Application of cognitive rehabilitation theory to the development of smart prompting technologies. IEEE: Reviews in Biomedical Engineering, 5, 29–44.Google Scholar
Sheikh, J.I., Yesavage, J.A. (1986). Geriatric Depression Scale (GDS): Recent evidence and development of a shorter version. In T.L. Brink (Ed.), Clinical gerontology: A guide to assessment and intervention (pp. 165–173). New York: The Haworth Press.Google Scholar
Singla, G., Cook, C., Schmitter-Edgecombe, M. (2010). Recognizing independent and joint activities among multiple residents in smart environments. Ambient Intelligence and Humanized Computing Journal, 1(1), 57–63.CrossRefGoogle ScholarPubMed
Smith, A. (1991). Symbol digit modalities test. Los Angeles, CA: Western Psychological Services.Google Scholar
Vincent, G., Velkoff, V. (2010). The next four decades – the older population in the United States: 2010 to 2050. Washington, DC: US Census Bureau.Google Scholar
Vitaliano, P.P., Echeverria, D., Yi, J., Phillips, P.E.M., Young, H., Siegler, I.C. (2005). Psychophysiological mediators of caregiver stress and differential cognitive decline. Psychology and Aging, 20(3), 402–411. doi:10.1037/0882-7974.20.3.402CrossRefGoogle ScholarPubMed
Wechsler, D. (1997). Wechsler adult intelligence test-third edition. New York, NY: The Psychological Corporation.Google Scholar
WHO (2007) Investing in the health workforce enables stronger health systems, Fact sheet. Belgrade, Copenhagen: WHO.Google Scholar
Williams, J.M. (1991). Memory assessment scales professional manual. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L.O., Petersen, R.C. (2004). Mild cognitive impairment – beyond controversies, towards a consensus: Report of the International Working Group on Mild Cognitive Impairment. Journal of Internal Medicine, 256, 240–246.CrossRefGoogle Scholar