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Mobile toolbox (MTB) remote measures of executive function and processing speed: development and validation.
Novack, Miriam A; Young, Stephanie Ruth; Dworak, Elizabeth M; Kaat, Aaron J; Slotkin, Jerry; Nowinski, Cindy; Yao, Lihua; Adam, Hubert; Stoeger, Jordan; Hosseinian, Zahra; Amagai, Saki; Pila, Sarah; Varela Diaz, Maria; Almonte Correa, Anyelo; Alperin, Keith; Carlson, Sonia; Kellen, Michael; Omberg, Larsson; Camacho, Monica R; Landavazo, Bernard; Nosheny, Rachel L; Weiner, Michael W; Gershon, Richard C.
Affiliation
  • Novack MA; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Young SR; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Dworak EM; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Kaat AJ; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Slotkin J; Center for Health Assessment Research and Translation, University of Delaware, Newark, DE, USA.
  • Nowinski C; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Yao L; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Adam H; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Stoeger J; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Hosseinian Z; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Amagai S; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Pila S; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Varela Diaz M; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Almonte Correa A; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Alperin K; Helium Foot Software, Inc, Chicago, IL, USA.
  • Carlson S; Sage Bionetworks, Seattle, WA, USA.
  • Kellen M; Sage Bionetworks, Seattle, WA, USA.
  • Omberg L; Sage Bionetworks, Seattle, WA, USA.
  • Camacho MR; University of California, San Francisco, NCIRE, San Francisco, CA, USA.
  • Landavazo B; Northern California Institute for Research and Education, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
  • Nosheny RL; University of California, San Francisco, NCIRE, San Francisco, CA, USA.
  • Weiner MW; Northern California Institute for Research and Education, San Francisco Veteran's Administration Medical Center, San Francisco, CA, USA.
  • Gershon RC; University of California, San Francisco, NCIRE, San Francisco, CA, USA.
J Int Neuropsychol Soc ; : 1-9, 2024 Jul 11.
Article in En | MEDLINE | ID: mdl-38989719
ABSTRACT

OBJECTIVE:

The ability to remotely monitor cognitive skills is increasing with the ubiquity of smartphones. The Mobile Toolbox (MTB) is a new measurement system that includes measures assessing Executive Functioning (EF) and Processing Speed (PS) Arrow Matching, Shape-Color Sorting, and Number-Symbol Match. The purpose of this study was to assess their psychometric properties.

METHOD:

MTB measures were developed for smartphone administration based on constructs measured in the NIH Toolbox® (NIHTB). Psychometric properties of the resulting measures were evaluated in three studies with participants ages 18 to 90. In Study 1 (N = 92), participants completed MTB measures in the lab and were administered both equivalent NIH TB measures and other external measures of similar cognitive constructs. In Study 2 (N = 1,021), participants completed the equivalent NIHTB measures in the lab and then took the MTB measures on their own, remotely. In Study 3 (N = 168), participants completed MTB measures twice remotely, two weeks apart.

RESULTS:

All three measures exhibited very high internal consistency and strong test-retest reliability, as well as moderately high correlations with comparable NIHTB tests and moderate correlations with external measures of similar constructs. Phone operating system (iOS vs. Android) had a significant impact on performance for Arrow Matching and Shape-Color Sorting, but no impact on either validity or reliability.

CONCLUSIONS:

Results support the reliability and convergent validity of MTB EF and PS measures for use across the adult lifespan in remote, self-administered designs.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Int Neuropsychol Soc Journal subject: NEUROLOGIA / PSICOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Int Neuropsychol Soc Journal subject: NEUROLOGIA / PSICOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: