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Enregistrement W4405891025 · doi:10.1111/1460-6984.13153

Profiling Communication Ability in Dementia: Validation of a new cognitive‐communication assessment tool

2024· article· en· W4405891025 sur OpenAlexaffabout
Suzanna Dooley, Tammy Hopper, Rachael Doyle, Órla Gilheaney, Margaret Walshe

Notice bibliographique

RevueInternational Journal of Language & Communication Disorders · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueDementia and Cognitive Impairment Research
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésDementiaPsychologyProfiling (computer programming)CognitionClinical psychologyDevelopmental psychologyCognitive psychologyPsychiatryDiseaseMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Individuals with dementia have communication limitations resulting from cognitive impairments that define the syndrome. Whereas there are numerous cognitive assessments for individuals with dementia, there are far fewer communication assessments. The Profiling Communication Ability in Dementia (P-CAD) was developed to address this gap. AIMS: The purpose of this study was to examine the concurrent validity, longitudinal validity and inter- and intra-rater reliability of the P-CAD in a population of people with dementia and their communication partners. METHOD: The P-CAD was administered to 122 people with dementia and their communication partners in Ireland (n = 100) and Canada (n = 22), over a 12-month period. To establish concurrent validity of the P-CAD, scores were compared to scores obtained from existing standardized instruments including the Functional Linguistic Communication Inventory (FLCI), the Mini-Mental State Examination (MMSE-2) and Global Deterioration Scale (GDS). Inter-rater reliability and responsiveness (longitudinal validity) were analysed using data from a subgroup of participants. OUTCOMES & RESULTS: Overall P-CAD test scores were significantly correlated with FLCI (n = 122; r = 0.875; p < 0.001) and MMSE-2 total scores (n = 122; r = 0.857; p < 0.001). Levels of communication support categories on the P-CAD correlated with GDS rankings (n = 122; rho = -0.539; p < 0.001) and MMSE-2 total scores (n = 122; rho = 0.680, p < 0.001). Inter-rater reliability tested for 20 participants in the Irish sample revealed high levels of agreement between raters in scoring the GDS (n = 20; ICC = 0.969, p < 0.001), MMSE-2 (n = 20; ICC = 0.997, p < 0.001), FLCI (n = 20; ICC = 0.999, p < 0.001) and P-CAD (n = 20; ICC = 0.981, p < 0.001). To establish longitudinal validity to examine if the P-CAD was responsive to changes in cognitive-communication function over time, 12 participants in the Irish sample repeated all tests 3 months after the initial testing. No statistically significant differences in test scores were found for the 12 participants who completed follow-up measures at this time point in any of the three scales. It was not possible to determine sufficient responsiveness as correlations between the change in P-CAD scores over 3 months were insignificant for both the change in MMSE-2 scores (rho = -0.130, p = 0.704) and the FLCI scores (rho = 0.221, p = 0.513). CONCLUSIONS & IMPLICATIONS: In this study, P-CAD has demonstrated good concurrent validity and inter-rater reliability in samples collected in two countries with English-speaking participants. The P-CAD is appropriate for use to evaluate communication abilities of people with dementia, including during conversational interactions with caregivers. WHAT THIS PAPER ADDS: What is already known on the subject Dementia alters the communication function of the person with dementia and impacts interactions with others. Speech and language therapists (SLTs) provide specific recommendations on communication function and support. However, they have limited access to comprehensive communication assessments to guide intervention. What this paper adds to the existing knowledge This validation study has confirmed that Profiling Communication Ability in Dementia (P-CAD) is a valid and reliable tool for SLTs to profile the communication abilities of people with dementia. It identifies the type and levels of communication support required as dementia progresses. The inclusion of communication partners in the study confirms their important role in providing conversation support to people with dementia. What are the potential or clinical implications of this work? The P-CAD is a clinical resource for dynamic communication assessment, which identifies key areas of retained ability to guide communication support and individualised intervention. It can be used with people at different stages and severity of dementia across a range of clinical settings. The P-CAD summary, which is part of the P-CAD, can be shared with family members and healthcare teams to enhance communication access for the person as dementia progresses.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,039

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,019
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,020
Tête enseignante GPT0,403
Écart entre enseignants0,383 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2024
Routes d'admission2
Résumé présentoui

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