Remote, unsupervised functional motor task evaluation in older adults across the United States using the MindCrowd electronic cohort.

motor older adult remote assessment

Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
19 May 2021
Historique:
pubmed: 26 5 2021
medline: 26 5 2021
entrez: 25 5 2021
Statut: epublish

Résumé

The COVID-19 pandemic has impacted the ability to evaluate motor function in older adults, as motor assessments typically require face-to-face interaction. This study tested whether motor function can be assessed at home. One hundred seventy-seven older adults nationwide (recruited through the MindCrowd electronic cohort) completed a brief functional upper-extremity assessment at home and unsupervised. Performance data were compared to data from an independent sample of community-dwelling older adults (N=250) assessed by an experimenter in-lab. The effect of age on performance was similar between the in-lab and at-home groups for both the dominant and non-dominant hand. Practice effects were also similar between the groups. Assessing upper-extremity motor function remotely is feasible and reliable in community-dwelling older adults. This test offers a practical solution in response to the COVID-19 pandemic and telehealth practice and other research involving remote or geographically isolated individuals.

Identifiants

pubmed: 34031669
doi: 10.1101/2021.05.17.21257333
pmc: PMC8142671
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIA NIH HHS
ID : K01 AG047926
Pays : United States

Commentaires et corrections

Type : UpdateIn

Auteurs

Andrew Hooyman (A)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.

Joshua S Talboom (JS)

The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.
Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.

Matthew D DeBoth (MD)

The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.
Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.

Lee Ryan (L)

The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.
Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.

Matt Huentelman (M)

The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.
Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.

Sydney Y Schaefer (SY)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
The Arizona Alzheimer's Consortium, Phoenix, AZ, USA.

Classifications MeSH