The Montreal Cognitive Assessment (MoCA) in neuro-oncology: A pilot study of feasibility and utility in telehealth and in-person clinical assessments.

CNS tumors cognitive dysfunction neurocognitive testing telehealth

Journal

Neuro-oncology practice
ISSN: 2054-2577
Titre abrégé: Neurooncol Pract
Pays: England
ID NLM: 101640528

Informations de publication

Date de publication:
Oct 2022
Historique:
entrez: 20 9 2022
pubmed: 21 9 2022
medline: 21 9 2022
Statut: epublish

Résumé

Cognitive impairments are a common burden for patients with primary CNS tumors. Neuropsychological assessment batteries can be too lengthy, which limits their use as an objective measure of cognition during routine care. The purpose of this study was to evaluate the feasibility and utility of the brief Montreal Cognitive Assessment (MoCA) in routine in-person and telehealth visits (as a result of the global COVID-19 pandemic) with neuro-oncology patients. Seventy-one adults with primary CNS tumors completed MoCA testing in person (n = 47) and via telehealth (n = 24). Correlation analysis and patient-reported outcomes (PROs), including symptom burden and interference, perceived cognition, general health status, and anxiety and depression, were included in this study. Feasibility was assessed through a provider satisfaction questionnaire. Patients were primarily White (83%), college-educated (71%) males (54%) with high-grade tumors (66%). The average total score on the MoCA administered in person was 25 (range: 6-30), with 34% classified as abnormal, and the average total score via telehealth was 26 (range: 12-30), with 29% classified as abnormal. Providers reported satisfaction in using the MoCA during routine clinical care, both in person and via telehealth. Lower MoCA scores correlated with worse symptom severity, KPS, age, education, and previous treatment. The MoCA was feasible in clinical and telehealth settings, and its relationship to clinical characteristics and PROs highlights the need for both objective and patient-reported measures of cognition to understand the overall cognitive profile of a patient with a CNS tumor.

Sections du résumé

Background UNASSIGNED
Cognitive impairments are a common burden for patients with primary CNS tumors. Neuropsychological assessment batteries can be too lengthy, which limits their use as an objective measure of cognition during routine care. The purpose of this study was to evaluate the feasibility and utility of the brief Montreal Cognitive Assessment (MoCA) in routine in-person and telehealth visits (as a result of the global COVID-19 pandemic) with neuro-oncology patients.
Methods UNASSIGNED
Seventy-one adults with primary CNS tumors completed MoCA testing in person (n = 47) and via telehealth (n = 24). Correlation analysis and patient-reported outcomes (PROs), including symptom burden and interference, perceived cognition, general health status, and anxiety and depression, were included in this study. Feasibility was assessed through a provider satisfaction questionnaire.
Results UNASSIGNED
Patients were primarily White (83%), college-educated (71%) males (54%) with high-grade tumors (66%). The average total score on the MoCA administered in person was 25 (range: 6-30), with 34% classified as abnormal, and the average total score via telehealth was 26 (range: 12-30), with 29% classified as abnormal. Providers reported satisfaction in using the MoCA during routine clinical care, both in person and via telehealth. Lower MoCA scores correlated with worse symptom severity, KPS, age, education, and previous treatment.
Conclusions UNASSIGNED
The MoCA was feasible in clinical and telehealth settings, and its relationship to clinical characteristics and PROs highlights the need for both objective and patient-reported measures of cognition to understand the overall cognitive profile of a patient with a CNS tumor.

Identifiants

pubmed: 36124322
doi: 10.1093/nop/npac038
pii: npac038
pmc: PMC9384084
doi:

Types de publication

Journal Article

Langues

eng

Pagination

429-440

Informations de copyright

Published by Oxford University Press 2022.

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Auteurs

Varna Jammula (V)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

James L Rogers (JL)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Elizabeth Vera (E)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Alexa Christ (A)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Heather E Leeper (HE)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Alvina Acquaye (A)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Nicole Briceno (N)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Anna Choi (A)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Ewa Grajkowska (E)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Jason E Levine (JE)

Office of Information Technology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Matthew Lindsley (M)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Jennifer Reyes (J)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Kayla N Roche (KN)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Michael Timmer (M)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Lisa Boris (L)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Eric Burton (E)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Nicole Lollo (N)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Marissa Panzer (M)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Matthew A Smith-Cohn (MA)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Marta Penas-Prado (M)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Valentina Pillai (V)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Brett J Theeler (BJ)

Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.

Jing Wu (J)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Mark R Gilbert (MR)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Terri S Armstrong (TS)

Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

Classifications MeSH