Barriers and facilitators to nutritional risk screening of older adults in primary care
Notice bibliographique
Résumé
Abstract Introduction: Over one-third of these community-dwelling older adults in Canada are at increased nutritional risk. Worldwide, two-thirds of older adults are at increased nutritional risk, although this figure includes those who are hospitalized or in long term care. Nutritional risk can lead to malnutrition; this occurs when an individual's food intake has an imbalance of energy, protein, or other nutrients. Nutritional risk and malnutrition are associated with poor quality of life, increased hospitalization, and premature mortality. Since malnutrition starts in the community, primary care is the ideal location for nutritional risk screening. If nutritional risk is identified early, before it progresses to malnutrition, it can be more easily treated. It is therefore important to understand barriers and facilitators to nutritional risk screening in primary care. Materials and Methods: The peer-reviewed and grey literature were searched. The databases CINAHL, Embase, Medline, and Google Scholar were used to identify articles related to barriers and facilitators to nutritional risk screening of older adults in primary care. A Google search identified publications from the grey literature related to nutritional risk screening of older adults. Key informants consisting of health care professionals working in primary care were asked to identify additional barriers. The Theoretical Domains Framework (TDF) was used to classify the barriers and facilitators. Results: Nine barriers and nine facilitators relating to nutritional risk screening of older adults in primary care were identified. These barriers and facilitators were located within the following domains of the TDF: knowledge; skills; social/professional role and identity; beliefs about capabilities; beliefs about consequences; motivation and goals; memory, attention and decision processes; environmental context and resources; social influences; emotions; behavioural regulation; and nature of the behaviours. Discussion: The TDF can be used to examine the barriers and facilitators to nutritional risk screening of older adults in primary care. Identification and classification of these barriers and facilitators can aid in the development and implementation of interventions designed to improve rates of nutritional risk screening in primary care. Identifying older adults at nutritional risk can help to prevent malnutrition, by intervening early when poor dietary intake may still be relatively easy and inexpensive to address. Screening is the first step in this identification.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».