Remote, self-administered, smartphone cognitive testing in a registry-based cohort: Feasibility, reliability, and validity findings
Dhanam, S.; Sanderson-Cimino, M.; Taylor, J. C.; Paolillo, E. W.; Fregly, R.; Kwang, W.; Maruff, P.; Wise, A.; Heuer, H. W.; Forsberg, L. K.; Kramer, J. H.; Boeve, B. F.; Rosen, H. J.; Mackin, R. S.; Weiner, M. W.; Nosheny, R. L.; Boxer, A. L.; Staffaroni, A. M.; Brain Health Registry,
Show abstract
BackgroundRemote, smartphone-based cognitive testing may improve access to cognitive assessments for Alzheimers disease and related dementias. We evaluated the feasibility, reliability, and validity of unsupervised smartphone-based cognitive tests in a registry-based cohort. MethodsAdults without a record of cognitive impairment (N=1,815; ages 18-92) were recruited from the UCSF Brain Health Registry to complete unsupervised ALLFTD-mApp cognitive tasks three times over two weeks. Reliability was assessed with correlations between sessions. Linear regression models tested associations of ALLFTD-mApp tasks with demographics, self- and informant-rated cognitive concerns (Everyday Cognition Surveys; ECog), and web-based cognitive testing (CogState Brief Battery; CBB). ResultsAdherence was high (82.2%) and usability favorable. Test-retest reliability was moderate to strong ({rho}s = 0.61-0.85, all ps < .001). Lower ALLFTD-mApp scores were associated with older age, lower education, cognitive concerns, and worse CBB performance. ConclusionFindings support the feasibility, reliability, and validity of the ALLFTD-mApp in adults without a record of cognitive impairment.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Online46: online cognitive assessments in elderly cohorts - the British 1946 birth cohort case study 96%
- Reliability of remote self-administered web-based digital cognitive measures and comparison to in-person neuropsychological tests: Stricker Learning Span, Symbols Test and the Mayo Test Drive Screening Battery Composite 94%
- Clinical Validation and Machine Learning Optimization of MyCog: A Self-Administered Cognitive Screener for Primary Care Settings 94%
Similar papers in this journal
- A Remote Digital Memory Composite to Detect Cognitive Impairment in Memory Clinic Samples in Unsupervised Settings using Mobile Devices 94%
- A scoping review of remote and unsupervised digital cognitive assessments in preclinical Alzheimer’s disease 93%
- An aging focused unobtrusive and Privacy-Preserving Digital Behaviorome 93%
Similar papers in this journal
- Feasibility characteristics of wrist-worn fitness trackers in health status monitoring for post-COVID patients in remote and rural areas 93%
- How can digital citizen science approaches improve ethical smartphone use surveillance among youth: traditional surveys versus ecological momentary assessments 91%
- Automated Image Transcription for Perinatal Blood Pressure Monitoring Using Mobile Health Technology 91%