Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review (Preprint)

View through CrossRef
BACKGROUND Assessment of cognitive decline in the earliest stages of Alzheimer disease (AD) is important but challenging. AD is a neurodegenerative disease characterized by gradual cognitive decline. Disease stages range from preclinical AD, in which individuals are cognitively unimpaired, to mild cognitive impairment (MCI) and dementia. Digital technologies promise to enable detection of early, subtle cognitive changes. Although the field of digital cognitive biomarkers is rapidly evolving, a comprehensive overview of the reporting of psychometric properties (ie, validity, reliability, responsiveness, and clinical meaningfulness) is missing. Insight into the extent to which these properties are evaluated is needed to identify the validation steps toward implementation. OBJECTIVE This scoping review aimed to identify the reporting on quality characteristics of smartphone- and tablet-based cognitive tools with potential for remote administration in individuals with preclinical AD or MCI. We focused on both psychometric properties and practical tool characteristics. METHODS This scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. In total, 4 databases (PubMed, Embase, Web of Science, and PsycINFO) were systematically searched from January 1, 2008, to January 5, 2023. Studies were included that assessed the psychometric properties of cognitive smartphone- or tablet-based tools with potential for remote administration in individuals with preclinical AD or MCI. In total, 2 reviewers independently screened titles and abstracts in ASReview, a screening tool that combines manual and automatic screening using an active learning algorithm. Thereafter, we manually screened full texts in the web application Rayyan. For each included study, 2 reviewers independently explored the reported information on practical and psychometric properties. For each psychometric property, examples were provided narratively. RESULTS In total, 11,300 deduplicated studies were identified in the search. After screening, 50 studies describing 37 different digital tools were included in this review. Average administration time was 13.8 (SD 10.1; range 1-32) minutes, but for 38% (14/37) of the tools, this was not described. Most tools (31/37, 84%) were examined in 1 language. The investigated populations were mainly individuals with MCI (34/37, 92%), and fewer tools were examined in individuals with preclinical AD (8/37, 22%). For almost all tools (36/37, 97%), construct validity was assessed through evaluation of clinical or biological associations or relevant group differences. For a small number of tools, information on structural validity (3/37, 8%), test-retest reliability (12/37, 32%), responsiveness (6/37, 16%), or clinical meaningfulness (0%) was reported. CONCLUSIONS Numerous smartphone- and tablet-based tools to assess cognition in early AD are being developed, whereas studies concerning their psychometric properties are limited. Often, initial validation steps have been taken, yet further validation and careful selection of psychometrically valid outcome scores are required to demonstrate clinical usefulness with regard to the context of use, which is essential for implementation.
Title: Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review (Preprint)
Description:
BACKGROUND Assessment of cognitive decline in the earliest stages of Alzheimer disease (AD) is important but challenging.
AD is a neurodegenerative disease characterized by gradual cognitive decline.
Disease stages range from preclinical AD, in which individuals are cognitively unimpaired, to mild cognitive impairment (MCI) and dementia.
Digital technologies promise to enable detection of early, subtle cognitive changes.
Although the field of digital cognitive biomarkers is rapidly evolving, a comprehensive overview of the reporting of psychometric properties (ie, validity, reliability, responsiveness, and clinical meaningfulness) is missing.
Insight into the extent to which these properties are evaluated is needed to identify the validation steps toward implementation.
OBJECTIVE This scoping review aimed to identify the reporting on quality characteristics of smartphone- and tablet-based cognitive tools with potential for remote administration in individuals with preclinical AD or MCI.
We focused on both psychometric properties and practical tool characteristics.
METHODS This scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.
In total, 4 databases (PubMed, Embase, Web of Science, and PsycINFO) were systematically searched from January 1, 2008, to January 5, 2023.
Studies were included that assessed the psychometric properties of cognitive smartphone- or tablet-based tools with potential for remote administration in individuals with preclinical AD or MCI.
In total, 2 reviewers independently screened titles and abstracts in ASReview, a screening tool that combines manual and automatic screening using an active learning algorithm.
Thereafter, we manually screened full texts in the web application Rayyan.
For each included study, 2 reviewers independently explored the reported information on practical and psychometric properties.
For each psychometric property, examples were provided narratively.
RESULTS In total, 11,300 deduplicated studies were identified in the search.
After screening, 50 studies describing 37 different digital tools were included in this review.
Average administration time was 13.
8 (SD 10.
1; range 1-32) minutes, but for 38% (14/37) of the tools, this was not described.
Most tools (31/37, 84%) were examined in 1 language.
The investigated populations were mainly individuals with MCI (34/37, 92%), and fewer tools were examined in individuals with preclinical AD (8/37, 22%).
For almost all tools (36/37, 97%), construct validity was assessed through evaluation of clinical or biological associations or relevant group differences.
For a small number of tools, information on structural validity (3/37, 8%), test-retest reliability (12/37, 32%), responsiveness (6/37, 16%), or clinical meaningfulness (0%) was reported.
CONCLUSIONS Numerous smartphone- and tablet-based tools to assess cognition in early AD are being developed, whereas studies concerning their psychometric properties are limited.
Often, initial validation steps have been taken, yet further validation and careful selection of psychometrically valid outcome scores are required to demonstrate clinical usefulness with regard to the context of use, which is essential for implementation.

Related Results

Hydatid Cyst of The Orbit: A Systematic Review with Meta-Data
Hydatid Cyst of The Orbit: A Systematic Review with Meta-Data
Abstarct Introduction Orbital hydatid cysts (HCs) constitute less than 1% of all cases of hydatidosis, yet their occurrence is often linked to severe visual complications. This stu...
Perbandingan Beberapa Bahan Pengisi pada Formulasi Tablet Hisap
Perbandingan Beberapa Bahan Pengisi pada Formulasi Tablet Hisap
Abstrak. Tablet hisap adalah tablet padat yang mengandung satu atau lebih bahan obat. Biasanya tablet hisap ini memiliki rasa dan aroma yang manis sehingga dapat larut perlahan dal...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Penerapan Metode Convolutional Neural Network untuk Diagnosa Penyakit Alzheimer
Abstract— Alzheimer's disease is a neurodegenerative disease that develops gradually, and is associated with cardiovascular and cerebrovascular problems. Alzheimer's is a serious d...
Prevalence and localization of nocturnal epileptiform discharges in mild cognitive impairment
Prevalence and localization of nocturnal epileptiform discharges in mild cognitive impairment
Abstract Recent evidence shows that identifying and treating epileptiform abnormalities in patients with Alzheimer’s disease could represent a potential avenue to im...
White matter microstructure and cognition in the Alzheimer’s Disease Connectome Project (ADCP)
White matter microstructure and cognition in the Alzheimer’s Disease Connectome Project (ADCP)
AbstractBackgroundAlzheimer’s disease (AD) has been mainly thought of as a disease involving gray matter changes. However, despite known correlations between white matter integrity...
Clinical Presentation of Alzheimer Disease (ad): a hospital based observational study.
Clinical Presentation of Alzheimer Disease (ad): a hospital based observational study.
Introduction: Alzheimer's disease (AD) is a neurodegenerative illness that mani-fests itself clinically and pathologically.Objective: To identify the various patterns of Alzheimer’...

Back to Top