Sustainable fall prevention across Europe: challenges and opportunities
Notice bibliographique
Résumé
Falls and related injuries form a growing health-care problem in aging societies. Between 40 and 60% of older fallers in the last year report being injured. Around 15–20% of falls result in serious (non-fracture) injuries including fractures. Non-injurious falls have also been associated with adverse health effects, including accelerated functional decline, anxiety and depression, fear of falling, and social withdrawal. Consequently, fall incidents have an impact on societal health-care expenditure, equaling 0.85–1.5% of the total health-care expenditure in Western countries. To tackle this health-care issue, many countries with developed health-care services have established fall prevention services. Given its multifactorial nature, it is assumed that comprehensive geriatric assessment (CGA) leading to individually targeted interventions would be effective. Previous literature has shown that several good quality trials have resulted in a reduction in falls. Despite local differences, these services generally address risk stratification and multifactorial assessment (MA) of risk factors and accompanying interventions. Accordingly, several medical societies and organizations have published clinical practice guidelines for fall prevention and management and a recent systematic review found a high degree of agreement in several areas. Successful implementation of health-care intervention such as fall prevention depends on many factors at different health-care levels including the innovation, individual professional, patient, social context, organizational context, and the economic and political context. For successful and durable implementation of fall services, collaboration between relevant medical disciplines, health-care insurers and governmental bodies is essential. To facilitate this, the Special Interest Group on Falls and Fracture prevention of the European Geriatric Medicine Society is currently preparing an international survey on current practices in fall prevention services throughout Europe to determine gaps and opportunities, identify best practices, and relevant stakeholders for sustainable fall prevention for older persons. Also, to achieve global consensus on the optimal content of fall preventive interventions and to facilitate knowledge distribution, the above-mentioned task force of worldwide experts was installed in 2019 at the first World Falls and Postural Stability Conference in Kuala Lumpur, Malaysia, to produce the first World Falls Prevention and Management Guidelines. The guidelines will include overall recommendations and more specific ones with regard to assessment, risk stratification, and interventions in different settings and risk groups.
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 | 0,007 | 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 | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,002 |
| 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 ».