Digital Therapeutics in the Application of Alzheimer’s Disease
DOI:
https://doi.org/10.54097/f4wn1z74Keywords:
Digital therapeutics, Alzheimer’s disease, Application.Abstract
As the global population continues to age, the prevalence of Alzheimer's disease (AD) escalates, placing a significant strain on healthcare systems worldwide. While diagnostic methods and therapeutic drugs for AD remain in development, digital therapy emerges as a novel non-pharmacological treatment or adjunctive measure, offering a promising avenue for the diagnosis, prevention, treatment, and management of AD. This article provides an overview of digital therapeutics (DTx) applications, encompassing cognitive assessment, intervention, and risk management, with the intent of informing clinical practice in AD. DTx employs software-driven interventions, such as cognitive training and virtual reality, customized to address patient needs, thereby furnishing real-time assistance to caregivers and patients alike. However, despite its potential, DTx encounters challenges regarding evidence consistency and integration into existing healthcare frameworks. Future research endeavors should prioritize robust experimental designs and interdisciplinary collaborations to enhance the efficacy and accessibility of DTx. Policymakers and healthcare providers must consider the integration and training of DTx to fully harness their benefits in AD management. This study underscores the pivotal role of DTx in shaping the future of AD care and emphasizes the necessity for concerted collaborative efforts across research, policy, and practice domains.
Downloads
References
GBD 2019 Dementia Forecasting Collaborators. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050 : an analysis for the Global Burden of Disease Study 2019. Lancet Public Health, 2022, 7 (2): e105-e125.
Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, Gamst A, Holtzman DM, Jagust WJ, Petersen RC, Snyder PJ, Carrillo MC, Thies B, Phelps CH. 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 & Dementia, 2011, 7 (3): 270-279.
Abbadessa G, Brigo F, Clerico M, De Mercanti S, Trojsi F, Tedeschi G, Bonavita S, Lavorgna L. Digital therapeutics in neurology. Journal of Neurology, 2022, 269 (3): 1209‐1224.
Sverdlov O, van Dam J, Hannesdottir K, Thornton-Wells T. Digital therapeutics: an integral component of digital innovation in drug development. Clinical Pharmacology & Therapeutics, 2018, 104 (1): 72-80.
Chan JYC, Kwong JSW, Wong A, Kwok TCY, Tsoi KKF. Comparison of computerized and paper-and-pencil memory tests in detection of mild cognitive impairment and dementia: a systematic review and meta-analysis of diagnostic studies. Journal of the American Medical Directors Association, 2018, 19 (9): 748-756. e5.
Morrison RL, Pei H, Novak G, Kaufer DI, Welsh-Bohmer KA, Ruhmel S, Narayan VA. A computerized, self-administered test of verbal episodic memory in elderly patients with mild cognitive impairment and healthy participants: A randomized, crossover, validation study. Alzheimer’s & Dementia, 2018, 10: 647-656.
Jakob R, Harperink S, Rudolf AM, Fleisch E, Haug S, Mair JL, Salamanca-Sanabria A, Kowatsch T. Factors influencing adherence to mHealth Apps for prevention or management of noncommunicable diseases: systematic review. Journal of Medical Internet Research, 2022, 24 (5): e35371.
Hill NT, Mowszowski L, Naismith SL, Chadwick VL, Valenzuela M, Lampit A. Computerized cognitive training in older adults with mild cognitive impairment or dementia: a systematic review and meta-analysis. American Journal of Psychiatry, 2017, 174: 329-340.
Chu CS, Li CT, Brunoni AR, Yang FC, Tseng PT, Tu YK, Stubbs B, Carvalho AF, Thompson T, Rajji TK, Yeh TC, Tsai CK, Chen TY, Li DJ, Hsu CW, Wu YC, Yu CL, Liang CS. Cognitive effects and acceptability of non-invasive brain stimulation on Alzheimer’s disease and mild cognitive impairment: a component network meta-analysis. Journal of Neurology, Neurosurgery & Psychiatry, 2021, 92 (2): 195-203.
Marin A, DeCaro R, Schiloski K, Elshaar A, Dwyer B, Vives-Rodriguez A, Palumbo R, Turk K, Budson A. Home-Based Electronic Cognitive Therapy in Patients with Alzheimer Disease: Feasibility Randomized Controlled Trial. JMIR Formative Research, 2022, 6 (9): e34450.
David R, Mulin E, Friedman L, Le Duff F, Cygankiewicz E, Deschaux O, Garcia R, Yesavage JA, Robert PH, Zeitzer JM. Decreased daytime motor activity associated with apathy in Alzheimer disease: an actigraphic study. The American Journal of Geriatric Psychiatry, 2012, 20 (9): 806-814.
Hu X, Cheng LY, Chiu MH, Paller KA. Promoting memory consolidation during sleep: a meta-analysis of targeted memory reactivation. Psychological Bulletin, 2020, 146 (3): 218-244.
Davies N, Schiowitz B, Rait G, Vickerstaff V, Sampson EL. Decision aids to support decision-making in dementia care: a systematic review. International Psychogeriatrics, 2019, 31 (10): 1403-1419.
Lauriks S, Reinersmann A, Van der Roest HG, Meiland FJ, Davies RJ, Moelaert F, Mulvenna MD, Nugent CD, Dröes RM. Review of ICT-based services for identified unmet needs in people with dementia. Aging Research Reviews, 2007, 6 (3): 223-246.
Park K. Controlled drug delivery systems: past forward and future back. Journal of Controlled Release, 2014, 190: 3-8.
Moon SH, Park K. The effect of digital reminiscence therapy on people with dementia: a pilot randomized controlled trial. BMC geriatrics, 2020, 20: 1-11.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







