Psychometric and adherence considerations for high-frequency, smartphone-based cognitive screening protocols in older adults

被引:0
|
作者
Thompson, Louisa I. [1 ]
De Vito, Alyssa N. [1 ]
Kunicki, Zachary J. [1 ]
Emrani, Sheina [1 ]
Strenger, Jennifer [1 ,2 ]
Nester, Caroline [3 ]
Harrington, Karra D. [4 ]
Roque, Nelson [5 ]
Manoocheri, Masood [1 ]
Salloway, Stephen [1 ]
Correia, Stephen [7 ]
Jones, Richard N. [1 ]
Sliwinski, Martin J. [4 ,6 ]
机构
[1] Brown Univ, Alpert Med Sch, Dept Psychiat & Human Behav, Providence, RI 02912 USA
[2] Butler Hosp, Memory & Aging Program, Providence, RI USA
[3] Univ Florida, Dept Clin & Hlth Psychol, Gainesville, FL USA
[4] Penn State Univ, Ctr Hlth Aging, University Pk, PA USA
[5] Univ Cent Florida, Dept Psychol, Orlando, FL USA
[6] Penn State Univ, Dept Human Dev & Family Studies, University Pk, PA USA
[7] Univ Georgia, Sch Publ Hlth, Dept Hlth Promot & Behav, Athens, GA USA
关键词
Cognitive screening; repeat assessment; Alzheimer's disease; smartphone; mobile app; feasibility; TERM-MEMORY BINDING; AGE-DIFFERENCES; IMPAIRMENT; MOTIVATION; DEFICITS;
D O I
10.1017/S1355617724000328
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: The psychometric rigor of unsupervised, smartphone-based assessments and factors that impact remote protocol engagement is critical to evaluate prior to the use of such methods in clinical contexts. We evaluated the validity of a high-frequency, smartphone-based cognitive assessment protocol, including examining convergence and divergence with standard cognitive tests, and investigating factors that may impact adherence and performance (i.e., time of day and anticipated receipt of feedback vs. no feedback).Methods: Cognitively unimpaired participants (N = 120, Mage = 68.8, 68.3% female, 87% White, Meducation = 16.5 years) completed 8 consecutive days of the Mobile Monitoring of Cognitive Change (M2C2), a mobile app-based testing platform, with brief morning, afternoon, and evening sessions. Tasks included measures of working memory, processing speed, and episodic memory. Traditional neuropsychological assessments included measures from the Preclinical Alzheimer's Cognitive Composite battery.Results: Findings showed overall high compliance (89.3%) across M2C2 sessions. Average compliance by time of day ranged from 90.2% for morning sessions, to 77.9% for afternoon sessions, and 84.4% for evening sessions. There was evidence of faster reaction time and among participants who expected to receive performance feedback. We observed excellent convergent and divergent validity in our comparison of M2C2 tasks and traditional neuropsychological assessments.Conclusions: This study supports the validity and reliability of self-administered, high-frequency cognitive assessment via smartphones in older adults. Insights into factors affecting adherence, performance, and protocol implementation are discussed.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] High interest in screening and treatment for mild cognitive impairment in older adults: A pilot study
    Dale, William
    Hougham, Gavin W.
    Hill, Emily Kay
    Sachs, Greg A.
    JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2006, 54 (09) : 1388 - 1394
  • [42] Association between speech and high-frequency hearing loss and depression, anxiety and stress in older adults
    Jayakody, Dona M. P.
    Almeida, Osvaldo P.
    Speelman, Craig P.
    Bennett, Rebecca J.
    Moyle, Thomas C.
    Yiannos, Jessica M.
    Friedland, Peter L.
    MATURITAS, 2018, 110 : 86 - 91
  • [43] EFFECT OF FREQUENCY OF BEHAVIORAL APPROACH ON HOME-BASED EXERCISE ADHERENCE IN FRAIL OLDER ADULTS
    Shigematsu, R.
    Nakanishi, R.
    Tanaka, K.
    GERONTOLOGIST, 2010, 50 : 362 - 362
  • [44] A Machine-Learning Based Approach for Predicting Older Adults? Adherence to Technology-Based Cognitive Training
    He, Zhe
    Tian, Shubo
    Singh, Ankita
    Chakraborty, Shayok
    Zhang, Shenghao
    Lustria, Mia Liza A.
    Charness, Neil
    Roque, Nelson A.
    Harrell, Erin R.
    Boot, Walter R.
    INFORMATION PROCESSING & MANAGEMENT, 2022, 59 (05)
  • [45] Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry
    Li, Lok Yee Joyce
    Wang, Shin-Yi
    Wu, Cheng-Jung
    Tsai, Cheng-Yu
    Wu, Te-Fang
    Lin, Yaoh-Shiang
    JMIR MHEALTH AND UHEALTH, 2020, 8 (10):
  • [46] Identifying the Daily Activity Spaces of Older Adults Living in a High-Density Urban Area: A Study Using the Smartphone-Based Global Positioning System Trajectory in Shanghai
    Bu, Jiatian
    Yin, Jie
    Yu, Yifan
    Zhan, Ye
    SUSTAINABILITY, 2021, 13 (09)
  • [47] Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy
    Singh, Ankita
    Chakraborty, Shayok
    He, Zhe
    Tian, Shubo
    Zhang, Shenghao
    Lustria, Mia Liza A.
    Charness, Neil
    Roque, Nelson A. A.
    Harrell, Erin R. R.
    Boot, Walter R. R.
    FRONTIERS IN PSYCHOLOGY, 2022, 13
  • [48] Efficacy of smartphone application-based multi-domain cognitive training in older adults without dementia
    Cho, Jinju
    An, Dayeong
    Cho, Eunhye
    Kim, Daeun
    Choi, Ingyu
    Cha, Jihyun
    Choi, Jongkwan
    Na, Duk L.
    Jang, Hyemin
    Chin, Juhee
    FRONTIERS IN AGING NEUROSCIENCE, 2023, 15
  • [49] Older adults' name-face association learning is facilitated for names with high-frequency first syllables
    Headen, Bianca
    James, Lori
    BRITISH JOURNAL OF DEVELOPMENTAL PSYCHOLOGY, 2024, 42 (02) : 177 - 186
  • [50] Effects of High-Frequency Proprioceptive Training on Single Stance Stability in Older Adults: Implications for Fall Prevention
    Riva, Dario
    Fani, Mara
    Benedetti, Maria Grazia
    Scarsini, Angelo
    Rocca, Flavio
    Mamo, Carlo
    BIOMED RESEARCH INTERNATIONAL, 2019, 2019