The International Classification of Functioning, Disability and Health Core Set for deafblindness. Part I: a systematic review of outcome measures
Notice bibliographique
Résumé
INTRODUCTION: The International Classification of Functioning, Disability, and Health (ICF), developed by the World Health Organization, is a classification framework that focuses on the health and functioning of people with disabilities. As part of an ICF Core Set development, four studies need to be conducted, one of which is a systematic review. This study presents part 1 of the systematic review that aims to describe the outcome measures identified in the literature related to functioning in individuals with deafblindness. EVIDENCE ACQUISITION: The research team screened articles from eight scientific databases, three journals, and Google Scholar (March 2011 to September 2022). Articles were included if they studied individuals with deafblindness aged 18 and older. Studies that examined genetics or laboratory experiments involving animals were excluded. Data were extracted into a logbook with key descriptors such as study location and design, age of study population, and instruments/outcome measures used, which were further categorized into one of the following types: 1) standardized; 2) patient-reported measures, standardized (PT-S); 3) patient-reported measures, not standardized (PT-not S); 4) health professional, reported measures, standardized (HP-S); 5) Technical measures; 6) other measures (parent-reported standardized and laboratory measures). EVIDENCE SYNTHESIS: The review included 147 studies, of which most were conducted in Europe (47.6%) and North America (27.9%). Of the 314 identified outcome measures, 57 were Standardized, 59 were Patient Reported-Standardized (PT-S), 178 were patient reported non-standardized (PT-Not S) variables, 11 were health professional reported, standardized, five were technical, and four were classified as other measures. CONCLUSIONS: Most instruments measured functioning in daily activities and the mental health of individuals with deafblindness. Three deafblind-specific instruments were identified in this study, highlighting the need for more deafblind-specific instruments to be developed and utilized in research.
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 | 0,006 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».