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Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones

BACKGROUND: The development of mobile technology with substantial computing power (ie, smartphones) has enabled the adaptation of performance-based cognitive assessments to remote administration and novel intensive longitudinal study designs (eg, measurement burst designs). Although an “ambulatory”...

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Autores principales: Hakun, Jonathan G, Roque, Nelson A, Gerver, Courtney R, Cerino, Eric S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919550/
https://www.ncbi.nlm.nih.gov/pubmed/36705953
http://dx.doi.org/10.2196/40188
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author Hakun, Jonathan G
Roque, Nelson A
Gerver, Courtney R
Cerino, Eric S
author_facet Hakun, Jonathan G
Roque, Nelson A
Gerver, Courtney R
Cerino, Eric S
author_sort Hakun, Jonathan G
collection PubMed
description BACKGROUND: The development of mobile technology with substantial computing power (ie, smartphones) has enabled the adaptation of performance-based cognitive assessments to remote administration and novel intensive longitudinal study designs (eg, measurement burst designs). Although an “ambulatory” cognitive assessment paradigm may provide new research opportunities, the adaptation of conventional measures to a mobile format conducive to intensive repeated measurement involves balancing measurement precision, administration time, and procedural consistency. OBJECTIVE: Across 3 studies, we adapted “complex span” tests of working memory capacity (WMC) for ultra-brief, smartphone-based administration and examined their reliability, sufficiency, and associations with full-length, laboratory-based computerized administrations. METHODS: In a laboratory-based setting, study 1 examined associations between ultra-brief smartphone adaptations of the operation span, symmetry span, and rotation span tasks and full-length computerized versions. In study 2, we conducted a 4-day ecological momentary assessment (EMA) study (4 assessments per day), where we examined the reliability of ultra-brief, ambulatory administrations of each task. In study 3, we conducted a 7-day EMA study (5 assessments per day) involving the ultra-brief rotation span task, where we examined reliability in the absence of extensive onboarding and training. RESULTS: Measurement models in study 1 suggest that comparable estimates of latent WMC can be recovered from ultra-brief complex span task performance on smartphones. Significant correlations between the ultra-brief tasks and respective full-length versions were observed in study 1 and 2, ranging from r=0.4 to r=0.57. Results of study 2 and study 3 suggest that reliable between-person estimates of operation span, symmetry span, rotation span, and latent WMC can be obtained in 2-3 ultra-brief administrations (equivalent to <1 day of testing in an EMA study design). The results of study 3 replicated our findings, showing that reliable between-person estimates of rotation span may be obtained in as few as 2 ultra-brief administrations in the absence of extensive onboarding and training. In addition, the modification of task parameterization for study 3 improved the estimates of reliability of within-person change. CONCLUSIONS: Ultra-brief administration of complex span tasks on smartphones in a measurement burst design can generate highly reliable cross-sectional estimates of WMC. Considerations for future mobile cognitive assessment designs and parameterizations are discussed.
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spelling pubmed-99195502023-02-12 Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones Hakun, Jonathan G Roque, Nelson A Gerver, Courtney R Cerino, Eric S JMIR Form Res Original Paper BACKGROUND: The development of mobile technology with substantial computing power (ie, smartphones) has enabled the adaptation of performance-based cognitive assessments to remote administration and novel intensive longitudinal study designs (eg, measurement burst designs). Although an “ambulatory” cognitive assessment paradigm may provide new research opportunities, the adaptation of conventional measures to a mobile format conducive to intensive repeated measurement involves balancing measurement precision, administration time, and procedural consistency. OBJECTIVE: Across 3 studies, we adapted “complex span” tests of working memory capacity (WMC) for ultra-brief, smartphone-based administration and examined their reliability, sufficiency, and associations with full-length, laboratory-based computerized administrations. METHODS: In a laboratory-based setting, study 1 examined associations between ultra-brief smartphone adaptations of the operation span, symmetry span, and rotation span tasks and full-length computerized versions. In study 2, we conducted a 4-day ecological momentary assessment (EMA) study (4 assessments per day), where we examined the reliability of ultra-brief, ambulatory administrations of each task. In study 3, we conducted a 7-day EMA study (5 assessments per day) involving the ultra-brief rotation span task, where we examined reliability in the absence of extensive onboarding and training. RESULTS: Measurement models in study 1 suggest that comparable estimates of latent WMC can be recovered from ultra-brief complex span task performance on smartphones. Significant correlations between the ultra-brief tasks and respective full-length versions were observed in study 1 and 2, ranging from r=0.4 to r=0.57. Results of study 2 and study 3 suggest that reliable between-person estimates of operation span, symmetry span, rotation span, and latent WMC can be obtained in 2-3 ultra-brief administrations (equivalent to <1 day of testing in an EMA study design). The results of study 3 replicated our findings, showing that reliable between-person estimates of rotation span may be obtained in as few as 2 ultra-brief administrations in the absence of extensive onboarding and training. In addition, the modification of task parameterization for study 3 improved the estimates of reliability of within-person change. CONCLUSIONS: Ultra-brief administration of complex span tasks on smartphones in a measurement burst design can generate highly reliable cross-sectional estimates of WMC. Considerations for future mobile cognitive assessment designs and parameterizations are discussed. JMIR Publications 2023-01-27 /pmc/articles/PMC9919550/ /pubmed/36705953 http://dx.doi.org/10.2196/40188 Text en ©Jonathan G Hakun, Nelson A Roque, Courtney R Gerver, Eric S Cerino. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.01.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Hakun, Jonathan G
Roque, Nelson A
Gerver, Courtney R
Cerino, Eric S
Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title_full Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title_fullStr Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title_full_unstemmed Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title_short Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones
title_sort ultra-brief assessment of working memory capacity: ambulatory assessment study using smartphones
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919550/
https://www.ncbi.nlm.nih.gov/pubmed/36705953
http://dx.doi.org/10.2196/40188
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