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Enregistrement W214615616

Influenza vaccination for health care workers: towards a workable and effective standard.

2009· article· en· W214615616 sur OpenAlexaffabout
Rebecca Rodal, Nola M. Ries, Kumanan Wilson

Notice bibliographique

RevuePubMed · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueInfluenza Virus Research Studies
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineVaccinationHealth carePandemicOutbreakEpidemiologyEnvironmental healthInfluenza A virusSick leaveInfection controlVirusMedical emergencyFamily medicineIntensive care medicineVirologyCoronavirus disease 2019 (COVID-19)DiseaseInternal medicineInfectious disease (medical specialty)Physical therapy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction In an average health care facility, more than half of employed health care workers, such as nurses, do not receive an annual influenza vaccination. (1) If one of these nurses were to contract the influenza virus, she could be contagious for one to four days before symptoms began to appear, during which time she would likely continue to carry out her duties as a health care worker. (2) During the course of a day, this nurse might have direct physical contact with 13 patients. (3) Over two days, then, more than 25 patients could be exposed to the influenza virus as a result of being treated by the nurse. Out of these exposed patients, many could be chronically ill or elderly, and therefore particularly susceptible to complications caused by the influenza virus. It is possible that some vulnerable patients could die as a result of this exposure. And the effects of exposure could greatly increase in spread and severity in a situation of influenza pandemic. (4) In an attempt to avoid such a scenario and to protect patients, many current health care facility policies require that unvaccinated health care workers be sent home without pay upon identification of an influenza outbreak. However, such an approach is problematic, due to the epidemiology of the spread of the influenza virus. During the incubation period, a person can pass on the virus while not yet exhibiting characteristic symptoms. This makes it very likely that a health care worker could pass on an infection before realizing he is sick and removing himself from patient contact, even with immediate exclusion upon appearance of symptoms. This fact, combined with diagnostic delays in identifying influenza infections, means that by the time an outbreak is recognized, the virus would already have spread to several patients. (5) Sporadic infections may also occur, not triggering an outbreak scenario, but spreading influenza from a single health care worker to a patient, or between health care workers and then to a patient. Another approach to protecting patients from the influenza virus could be more effective. Pre-exposure immunization is the most efficient method of preventing annual outbreaks of influenza, and thus is the best method of reducing related morbidity and mortality. (6) However, vaccine coverage amongst health care workers, including both those providing direct patient care as well as those providing more indirect health services, is currently alarmingly poor. Studies of health care workers in long-term care facilities and hospitals show influenza vaccination coverage rates of 26-61%, (7) an unsatisfactorily and, many say, unacceptably low range. Reasons given for refusing the influenza vaccine include the belief that it is either ineffective or unnecessary, a perceived lack of susceptibility, concern about adverse reactions, and personal beliefs against vaccination. (8) The unfounded attribution of influenza symptoms to the vaccine also continues to persist. (9) These concerns suggest that there is insufficient knowledge about the vaccine's effectiveness and side effects, and about the potential risk of transmission to patients, indicating a failure of educational campaigns to adequately target and alleviate the concerns of employees. (10) What policy course would do best to address this perception of inadequacy in current hospital safety regulations? The failure of education programs to improve voluntary hospital worker immunization rates has led to calls for mandatory influenza immunization policies. These policies would have the effect of increasing patient health and safety, and at the same time saving costs and reducing worker illness and absenteeism. However, health care workers have been resistant, and the legality of such an option remains uncertain. We will discuss two broad legal issues surrounding this question. First, would such a policy be acceptable under the Canadian Charter of Rights of Freedoms, specifically under s. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,044
score de la tête « metaresearch » (Gemma)0,049
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,044
Score d'incertitude au seuil0,233

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0440,049
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0010,003
Communication savante0,0050,006
Science ouverte0,0050,006
Intégrité de la recherche0,0120,010
Charge utile insuffisante (le modèle a refusé de juger)0,0060,004

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 Opus0,053
Tête enseignante GPT0,393
Écart entre enseignants0,340 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations5
Publié2009
Routes d'admission2
Résumé présentoui

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