Telehealth Equivalence of the Montreal Cognitive Assessment (MoCA): Results from the Emory Healthy Brain Study (EHBS) (P6-6.001)
Notice bibliographique
Résumé
Objective: To characterize potential differences in Montreal Cognitive Assessment (MoCA) performance between in-person cognitive testing and video telehealth administration. In addition to global MoCA scores, we examined potential telehealth effects on mood (PHQ-8, GAD-7), and explored whether the presence of an observer at the participant’s home during remote MoCA testing influenced task performance. Background: Telehealth cognitive testing has become a common assessment approach following the COVID-19 pandemic when in-person testing was restricted for safety considerations. Although the equivalence of telehealth results to the traditional face-to-face testing is often assumed, formal equivalence validation is limited. Design/Methods: Scores from participants in the Emory Health Brain Study (EHBS) were contrasted based upon whether they were tested in the standard face-to-face (F2F) assessment (n=1205) or using a video telehealth administration (n=491). All EHBS participants were cognitively normal via self-report. Results: Total MoCA scores did not differ across administration method (F2F MoCA=26.6, SD=2.4, telehealth MoCA=26.5, SD=2.4). The 95% confidence interval for difference in administration was small (CI = −0.16 – 0.34). When examining individual MoCA domain scores, administration differences were either associated with no statistically significant effect, or if present were due to large sample sizes, were associated with small effect sizes and differences < 0.5 point. Groups did not differ on GAD-7, although F2F patients reported slightly higher GAD-7 scores of 0.4 point but well within the normal range. The presence of an observer during telehealth testing did not influence MoCA scores. Conclusions: While no single study design provides complete evidence of task equivalence between in-person and video telehealth assessment, this report with its large sample size and between subject cohort provides reassurance that administration mode does not introduce systematic performance differences for MoCA test administration. Continuing studies in clinically impaired groups will be needed to demonstrate the robustness of our findings. Disclosure: Dr. Loring has received personal compensation in the range of $5,000-$9,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Springer Nature. Dr. Loring has received personal compensation in the range of $5,000-$9,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for ILAE. The institution of Dr. Loring has received research support from NIH. Dr. Loring has received publishing royalties from a publication relating to health care. Dr. Lah has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Roche Diagnostics. The institution of Dr. Lah has received research support from Roche. Felicia Goldstein has nothing to disclose.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».