Multi-component cognitive intervention for older adults with mixed cognitive levels: implementation and preliminary effectiveness in real-world settings

Hui-Fen Mao, Athena Yi-Jung Tsai, Ling-Hui Chang, I-Lu Tsai, Hui-Fen Mao, Athena Yi-Jung Tsai, Ling-Hui Chang, I-Lu Tsai

Abstract

Background: In most controlled studies of multi-component cognitive intervention, participants' cognitive levels are homogenous, which is contrary to real-world settings. There is a lack of research studying the implementation of evidence-based cognitive intervention in communities. This study describes the implementation and preliminary effectiveness of a Multi-component Cognitive Intervention using Simulated Everyday Tasks (MCI-SET) for older adults with different cognitive levels in real-world settings.

Methods: Single group, pre-intervention assessment, post-intervention assessment, and 3-month follow-up research design. MCI-SET consists of 12 two-hour weekly sessions that include motor-cognitive tasks, cognitive training, and cognitive rehabilitation. One hundred and thirty participants, > = 65 and frail, dependence on > = one instrumental daily activity, or with confirmed dementia, from eight community centers were included. The primary outcome is general cognition (Montreal Cognitive Assessment-Taiwan, MoCA-T). Secondary outcomes are memory (Miami Prospective Memory Test, Digits Forward, Digits Backward), attention (Color Trail Test-Part 1), executive function (Color Trail Test-Part 2), and general function (Kihon Checklist-Taiwan).

Results: Pre-intervention workshop for group leaders, standardized activity protocols, on-site observation, and ten weekly conferences were conducted to ensure implementation fidelity. MCI-SET had an 85% retention rate and 96% attendance rate. The participants had a mean age of 78.26 ± 7.00 and a mean MoCA-T score of 12.55 ± 7.43. 73% were female. General cognition (Hedges' g = 0.31), attention (Hedges' g = 0.23), and general function (Hedges' g = 0.31), showed significant post-intervention improvement with small effect size. Follow-ups showed maintained improvement in general cognition (Hedges' g = 0.33), and delayed effect on attention (Hedges' g = 0.20), short-term memory (Hedges' g = 0.38), and executive function (Hedges' g = 0.40). Regression analysis indicated that the intervention settings (day care centers vs neighborhood centers), the pre-intervention cognitive levels, and the pre-intervention general function of the participants were not associated with the outcomes.

Conclusions: MCI-SET is feasible and can improve the cognitive skills and general functions of older adults with heterogeneous cognitive skills or disabilities. It is essential to tailor programs to fit the interests of the participants and the culture of local communities. Group leaders must also have the skills to adjust the cognitive demands of the tasks to meet the heterogeneous cognitive levels of participants.

Trial registration: This study was retrospectively registered at clinicaltrials.gov (Identifier: NCT04615169 ).

Keywords: Aging; Cognitive training; Community-based practice; Implementation fidelity.

Conflict of interest statement

The authors declared that they have no competing interests.

© 2021. The Author(s).

References

    1. Alzheimer’s Disease International. World Alzheimer Report 2018 [internet]. Alzheimer’s Disease International; 2018. Available from:
    1. Ngandu T, Lehtisalo J, Solomon A, Levalahti E, Ahtiluoto S, Antikainen R, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015;385(9984):2255–2263. doi: 10.1016/S0140-6736(15)60461-5.
    1. Gates NJ, Rutjes AW, Di Nisio M, Karim S, Chong LY, March E, et al. Computerised cognitive training for 12 or more weeks for maintaining cognitive function in cognitively healthy people in late life. Cochrane Database Syst Rev. 2020;2(2):CD012277. doi: 10.1002/14651858.CD012277.pub3.
    1. Mowszowski L, Lampit A, Walton CC, Naismith SL. Strategy-based cognitive training for improving executive functions in older adults: a systematic review. Neuropsychol Rev. 2016;26(3):252–270. doi: 10.1007/s11065-016-9329-x.
    1. Hosseini SM, Kramer JH, Kesler SR. Neural correlates of cognitive intervention in persons at risk of developing Alzheimer's disease. Front Aging Neurosci. 2014;6:231. doi: 10.3389/fnagi.2014.00231.
    1. Bruderer-Hofstetter M, Rausch-Osthoff AK, Meichtry A, Munzer T, Niedermann K. Effective multicomponent interventions in comparison to active control and no interventions on physical capacity, cognitive function and instrumental activities of daily living in elderly people with and without mild impaired cognition - a systematic review and network meta-analysis. Ageing Res Rev. 2018;45:1–14. doi: 10.1016/j.arr.2018.04.002.
    1. Chang LH, Chen PY, Wang J, Shih BH, Tseng YH, Mao HF. High-ecological cognitive interventions improved cognitive skills and cognitive-functional performance for persons with mild cognitive impairments. Am J Occup Ther. 2020.
    1. Lin YY, Huang CS. Aging in Taiwan: building a Society for Active Aging and Aging in place. Gerontologist. 2016;56(2):176–183. doi: 10.1093/geront/gnv107.
    1. Tsay SF, Chen SC, Lu SJ, Liu LT. The policy and practice of preventive Care for the Elderly. Hu Li Za Zhi J Nurs. 2018;65(2):13–19. doi: 10.6224/JN.201804_65(2).03.
    1. Kanaan SF, McDowd JM, Colgrove Y, Burns JM, Gajewski B, Pohl PS. Feasibility and efficacy of intensive cognitive training in early-stage Alzheimer’s disease. Am J Alzheimers Dis Other Dement. 2014;29(2):150–158. doi: 10.1177/1533317513506775.
    1. Glasgow RE, Harden SM, Gaglio B, Rabin B, Smith ML, Porter GC, Ory MG, Estabrooks PA. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front Public Health. 2019;7:64. doi: 10.3389/fpubh.2019.00064.
    1. Bilotta C, Nicolini P, Case A, Pina G, Rossi S, Vergani C. Frailty syndrome diagnosed according to the study of osteoporotic fractures (SOF) criteria and adverse health outcomes among community-dwelling older outpatients in Italy. A one-year prospective cohort study. Arch Gerontol Geriatr. 2012;54(2):e23–e28. doi: 10.1016/j.archger.2011.06.037.
    1. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA. Frailty in older adults: evidence for a phenotype. J Gerontol: Series A. 2001;56(3):M146–M156. doi: 10.1093/gerona/56.3.M146.
    1. Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–699. doi: 10.1111/j.1532-5415.2005.53221.x.
    1. Tsai CF, Lee WJ, Wang SJ, Shia BC, Nasreddine Z, Fuh JL. Psychometrics of the Montreal cognitive assessment (MoCA) and its subscales: validation of the Taiwanese version of the MoCA and an item response theory analysis. Int Psychogeriatr. 2012;24(4):651–658. doi: 10.1017/S1041610211002298.
    1. Hernandez Cardenache R, Burguera L, Acevedo A, Curiel R, Loewenstein DA. Evaluating different aspects of prospective memory in amnestic and nonamnestic mild cognitive impairment. ISRN Neurology. 2014;2014:805929–805927. doi: 10.1155/2014/805929.
    1. Chen HY, Chen RH. Wechsler Adult Intelligence Scale. 4. Chinese: Chinese Behavioral Science Corporation; 2015.
    1. D’Elia LF, Satz P, Uchiyama CL, White T. Color trails test. Florida: Psychological Assessment Resources; 1996.
    1. Satake S, Senda K, Hong YJ, Miura H, Endo H, Sakurai T, Kondo I, Toba K. Validity of the Kihon checklist for assessing frailty status. Geriatr Gerontol Int. 2016;16(6):709–715. doi: 10.1111/ggi.12543.
    1. Kojima S, Murotani K, Zhou B, Kothari KU, Fukushima M, Nagai Y. Assessing long-term care risk in older individuals with possible cognitive decline: a large population-based study using the Kihon checklist. Geriatr Gerontol Int. 2019;19(7):598–603. doi: 10.1111/ggi.13677.
    1. Hedges LV, Olkin I. Statistical methods for meta-analysis. Orlando: Academic Press; 1985.
    1. Basak C, Qin S, O'Connell MA. Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: a comprehensive meta-analysis of randomized controlled trials. Psychol Aging. 2020;35(2):220–249. doi: 10.1037/pag0000442.
    1. Corbett A, Owen A, Hampshire A, Grahn J, Stenton R, Dajani S, Burns A, Howard R, Williams N, Williams G, Ballard C. The effect of an online cognitive training package in healthy older adults: an online randomized controlled trial. J Am Med Dir Assoc. 2015;16(11):990–997. doi: 10.1016/j.jamda.2015.06.014.
    1. Ng TP, Feng L, Nyunt MS, Feng L, Niti M, Tan BY, et al. Nutritional, physical, cognitive, and combination interventions and frailty reversal among older adults: a randomized controlled trial. Am J Med. 2015;128(11):1225–1236. doi: 10.1016/j.amjmed.2015.06.017.
    1. Wu CY, Rodakowski JL, Terhorst L, Karp JF, Fields B, Skidmore ER. A scoping review of nonpharmacological interventions to reduce disability in older adults. Gerontologist. 2020;60(1):e52–e65. doi: 10.1093/geront/gnz026.
    1. Luger E, Dorner TE, Haider S, Kapan A, Lackinger C, Schindler K. Effects of a Home-Based and Volunteer-Administered Physical Training, Nutritional, and Social Support Program on Malnutrition and Frailty in Older Persons: A Randomized Controlled Trial. J Am Med Dir Assoc. 2016;17(7):671 e9–671e16. doi: 10.1016/j.jamda.2016.04.018.
    1. Shaw RB, Sweet SN, McBride CB, Adair WK, Martin Ginis KA. Operationalizing the reach, effectiveness, adoption, implementation, maintenance (RE-AIM) framework to evaluate the collective impact of autonomous community programs that promote health and well-being. BMC Public Health. 2019;19(1):803. doi: 10.1186/s12889-019-7131-4.
    1. Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, Brayne C, Burns A, Cohen-Mansfield J, Cooper C, Costafreda SG, Dias A, Fox N, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Ogunniyi A, Orgeta V, Ritchie K, Rockwood K, Sampson EL, Samus Q, Schneider LS, Selbæk G, Teri L, Mukadam N. Dementia prevention, intervention, and care: 2020 report of the lancet commission. Lancet. 2020;396(10248):413–446. doi: 10.1016/S0140-6736(20)30367-6.
    1. Schwingel A, Galvez P, Linares D, Sebastiao E. Using a mixed-methods RE-AIM framework to evaluate community health programs for older Latinas. J Aging Health. 2017;29(4):551–593. doi: 10.1177/0898264316641075.
    1. Meeks S, Pruchno R. Practice concepts will become intervention research effective January 2017. Gerontologist. 2017;57(2):151–152. doi: 10.1093/geront/gnw213.

Source: PubMed

3
Subscribe