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Enregistrement W2981612771

Fall Prevention Guidelines for Patients in Wheelchairs or Patients with Delirium: A Review of Evidence-Based Guidelines

2019· review· en· W2981612771 sur OpenAlexaboutno aff
Desirée Sutton, Suzanne McCormack

Notice bibliographique

RevueEurope PMC (PubMed Central) · 2019
Typereview
Langueen
DomaineMedicine
ThématiqueCerebral Palsy and Movement Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWheelchairMedicineFall preventionHealth careInjury preventionOccupational safety and healthPoison controlSuicide preventionMedical emergency
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In general, falls are defined as sudden unintentional changes in position resulting in an individual landing on a lower level. Falls incur two billion dollars per year of direct health care costs in Canada and cause 95% of hip fractures. Falls resulting in injuries increased 43% between 2003 and 2008 while falls resulting in death increased 65% over the same period. Falls are the leading cause of injury among seniors with 20 to 30% experiencing at least one fall per year, accounting for 85% of seniors’ injury-related hospitalizations and over 30% of seniors’ subsequent admissions to long-term care., Even falls that do not incur injury can result in future health care costs since they may lead seniors to limit their activities, leading to declines in health and function and increasing the risk of future falls with serious outcomes., Fall prevention may reduce injuries, long-term care admissions, hospitalizations, and overall health care costs; preventing 20% of falls could reduce 7,500 hospitalizations and save the Canadian health care system $138 million per year.While in theory assistive devices such as wheelchairs promote independence, mobility, and fall prevention, they are not always properly used or maintained. Falls during transfer – defined as transferring one’s body from one surface to another – may result from an improperly maintained wheelchair. For example, if a wheelchair’s locking mechanism is not functioning properly or is not appropriately engaged, then the wheelchair becomes unsafe and can then lead to falls instead of preventing them., Installation of automatic or more robust wheel locks as well as use of a wheelchair maintenance schedule may reduce injurious falls., Improper transfer techniques (from wheelchair to and from bed or toilet) as well as unassisted transfers may also increase the risk of injurious falls., Nearly 60% of people using manual wheelchairs experience falls and face the challenges of independent or assisted recovery. Independent recovery relies on the patient maintaining contact with the wheelchair and having the physical capacity to recover on their own. If independent recovery is not possible, then the patient remains on the ground until assistance is available. If a patient remains on the ground for a prolonged period of time, it is predictive of future injurious falls and is also associated with declines in activities of daily living, increased hospital admissions, and increased long-term care admissions.Another consideration for fall risk is delirium. Delirium, also known as acute confusional state, has an acute onset, developing over one to two days and is a common clinical symptom characterized by fluctuating consciousness, cognitive function, attention, thinking, or perception., Patients presenting with delirium may be: restless, agitated, and aggressive; withdrawn, sleepy, and quiet; or a mixture of these characteristics. Delirium and subsequent confusion are risk factors for falls. Additionally, older patients are at risk of developing delirium after a hip fracture, which itself is a serious consequence of a fall.,, Patients with a hip fracture and delirium have increased hospital stays, falls, pressure sore development, and risk of death than those without delirium., Fall prevention for patients with delirium thus involves preventing delirium or identifying and managing the underlying causes of the delirium such as: orienting the patient to person, place, and time (who the people around them are, their location, what the time and date are); providing an environment with context and familiarity (e.g., a room with a window or clock filled with personal belongings or pictures); talking and providing explanations in a calm, reassuring voice; as well as reviewing and changing medications to limit those that may cause or worsen delirium.–As Canada’s population continues to age, falls and fall prevention will continue to be a growing public health issue. Effective fall prevention accounts for the combination of fall risk factors unique to each senior, tailoring the intervention to target the individual’s specific health status, situation, and environment. Evidence-based fall-prevention guidelines can assist in assessment of individual patients’ fall risks as well as establish standards to decrease the number and effect of falls.The objective of this report is to summarize the relevant evidence-based guidelines associated with the prevention of falls in patients requiring wheelchairs and patients with delirium in institutionalized care.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,704
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,211
Tête enseignante GPT0,379
Écart entre enseignants0,168 · 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 tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreSynthèse

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

En bref

Citations6
Publié2019
Routes d'admission1
Résumé présentoui

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