Psychometric and adherence considerations for high-frequency, smartphone-based cognitive screening protocols in older adults.

Alzheimer’s disease Cognitive screening feasibility mobile app repeat assessment smartphone

Journal

Journal of the International Neuropsychological Society : JINS
ISSN: 1469-7661
Titre abrégé: J Int Neuropsychol Soc
Pays: England
ID NLM: 9503760

Informations de publication

Date de publication:
20 Sep 2024
Historique:
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

The psychometric rigor of unsupervised, smartphone-based assessments and factors that impact remote protocol engagement is critical to evaluate prior to the use of such methods in clinical contexts. We evaluated the validity of a high-frequency, smartphone-based cognitive assessment protocol, including examining convergence and divergence with standard cognitive tests, and investigating factors that may impact adherence and performance (i.e., time of day and anticipated receipt of feedback vs. no feedback). Cognitively unimpaired participants (N = 120, M Findings showed overall high compliance (89.3%) across M2C2 sessions. Average compliance by time of day ranged from 90.2% for morning sessions, to 77.9% for afternoon sessions, and 84.4% for evening sessions. There was evidence of faster reaction time and among participants who expected to receive performance feedback. We observed excellent convergent and divergent validity in our comparison of M2C2 tasks and traditional neuropsychological assessments. This study supports the validity and reliability of self-administered, high-frequency cognitive assessment via smartphones in older adults. Insights into factors affecting adherence, performance, and protocol implementation are discussed.

Identifiants

pubmed: 39301587
pii: S1355617724000328
doi: 10.1017/S1355617724000328
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Auteurs

Louisa I Thompson (LI)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Alyssa N De Vito (AN)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Zachary J Kunicki (ZJ)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Sheina Emrani (S)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Jennifer Strenger (J)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.
Memory & Aging Program, Butler Hospital, Providence, RI, USA.

Caroline Nester (C)

Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.

Karra D Harrington (KD)

Center for Healthy Aging, Penn State University, University Park, PA, USA.

Nelson Roque (N)

Department of Psychology, University of Central Florida, Orlando, FL, USA.

Masood Manoocheri (M)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Stephen Salloway (S)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Stephen Correia (S)

Department of Health Promotion and Behavior, School of Public Health, University of Georgia, FL, USA.

Richard N Jones (RN)

Department of Psychiatry & Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

Martin J Sliwinski (MJ)

Center for Healthy Aging, Penn State University, University Park, PA, USA.
Department of Human Development & Family Studies, Penn State University, University Park, PA, USA.

Classifications MeSH