Evidence map›Paper›PMID 39911192›Full record

ArticleFrontiers in psychology2024

Mobile Toolbox sequences task: development and validation of a remote, smartphone-based working memory test.

Jerry Slotkin, Aaron J Kaat, Stephanie Ruth Young, Elizabeth M Dworak, Miriam A Novack, Yusuke Shono, Hubert Adam, Cindy J Nowinski, Sarah Pila, Zahra Hosseinian and 8 more

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Jerry SlotkinCenter for Health Assessment Research and Translation, University of Delaware, Newark, DE, United States.
Aaron J KaatDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Stephanie Ruth YoungDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Elizabeth M DworakDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Miriam A NovackDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Yusuke ShonoSchool of Community and Global Health, Claremont Graduate University, Claremont, CA, United States.
Hubert AdamDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Cindy J NowinskiDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Sarah PilaDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Zahra HosseinianDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Maria Varela DiazDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Anyelo Almonte-CorreaDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Keith AlperinHelium Foot Software, Inc, Chicago, IL, United States.
Monica R CamachoUniversity of California, San Francisco, San Francisco, CA, United States.
Bernard LandavazoUniversity of California, San Francisco, San Francisco, CA, United States.
Rachel L NoshenyUniversity of California, San Francisco, San Francisco, CA, United States.
Michael W WeinerUniversity of California, San Francisco, San Francisco, CA, United States.
Richard C GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Funding

The MobileToolbox for Monitoring Cognitive Function - Technical CoreU2CAG060426 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CINDY J. NOWINSKI · 2018 to 2026
$35.0M
The Brain Health Registry for facilitating interdisciplinary aging researchR33AG062867 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NOSHENY, RACHEL LAUREN · 2020 to 2024
$3.2M
NIA NIH HHS R33 AG062867NIA NIH HHS U2C AG060426
6 · The paper itself

Abstract

Objective: The ability to assess cognitive skills remotely is increasing with the widespread use and availability of smartphones. The Mobile Toolbox (MTB) is a measurement system that includes Sequences, a new measure of working memory designed specifically for smartphones. This study describes the development of Sequences and presents the studies conducted to evaluate its psychometric properties. Methods: We developed a new measure of working memory that can be self-administered remotely using an iOS or Android smartphone. In Sequences, a series of numbers and letters are shown on the screen one at a time, and the participant must first tap the letters they see in alphabetical order, followed by tapping the numbers in ascending numerical order. The Sequences measure was evaluated for usability and feasibility across two pilot studies and then assessed in this validation study (which included a total sample size of Results: Sequences exhibited moderately high correlations with a comparable NIHTB test and external measures of a similar construct, while exhibiting a lower correlation with an unrelated test, as hypothesized. Internal consistency was high, but test-retest reliability was moderate. When controlling for age, phone operating system (iOS vs. Android) and sex assigned at birth did not significantly impact performance; however, there was a significant difference between individuals who completed college and those with a high school education or lower. Conclusion: The results support the validity of Sequences as a measure of working memory for remote self-administered use. The internal consistency was strong, with moderate test-retest reliability that is likely a function of the test's unproctored self-administration method. The findings suggest that Sequences is appropriate for use with adults aged 18-90 years in remote self-administered designs that focus on group results.

Indexed as

cognitionmobile assessmentNIH Toolboxvalidationworking memory

Identifiers

PMID39911192
PMCPMC11794243

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.