A systematic review of psychometric properties of questionnaires assessing activities of daily living among older adults with neurocognitive disorders
Notice bibliographique
Résumé
INTRODUCTION: Mild cognitive impairment (MCI) and Alzheimer's disease (AD) lead to decline in performance in activities of daily living (ADLs). Multiple questionnaires assess this construct among older adults. The objective of this study was to review existing literature studying psychometric properties of questionnaires assessing performance in ADLs of older adults living with MCI and AD specifically. METHODS: A systematic review was conducted across Medline, CINAHL and PsychINFO using a combination of keywords related to ADLs, psychometrics, MCI and AD. Studies were included if they met the following criteria: assessments of performance of ADLs for older adults living with AD or MCI, reporting a minimum of one measurement property (e.g. internal consistency), primary research articles, published before June 2023 in English or French. Data extraction and analysis were conducted by two researchers. The methodological quality of psychometric properties was assessed using the COSMIN checklist. CONSUMER AND COMMUNITY INVOLVEMENT: No consumer or community involvement occurred. RESULTS: A total of 2539 articles were screened and filtered down to 50 articles including 24 questionnaires respecting inclusion criteria. Of these questionnaires, the three most validated were the Amsterdam Instrumental activities of daily living, the disability assessment for dementia (DAD), and the Bayer ADL scale. Overall, for these three questionnaires, internal consistency, reliability and structural validity were the most studied psychometric properties while criterion validity and hypothesis testing were the least. CONCLUSION: This study reveals the Amsterdam IADLs as the most validated questionnaire across psychometric properties and the DAD as the most validated across languages. Considering the increasing prevalence of older adults with MCI or AD, questionnaires established on strong measurement properties are valuable tools to evaluate decline in ADL performance and plan suitable interventions. This review provides evidence for clinicians and researchers for the selection of questionnaires to evaluate this population. PLAIN LANGUAGE SUMMARY: Cognitive impairment affects memory and thinking. It makes tasks like dressing, bathing and eating harder. Health-care workers use questionnaires to find out where someone struggles. This helps them plan better care. We reviewed questionnaires for older adults with memory and thinking problems. We found good ones that give important information. Using these questionnaires helps health-care workers support people with daily tasks. This study suggests testing the questionnaires more to improve them.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».