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Enregistrement W6991067495

An Exploration of Nursing Medication Practices in Acute Care Settings in Canada

2025· dissertation· en· W6991067495 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarship at UWindsor (University of Windsor) · 2025
Typedissertation
Langueen
DomaineHealth Professions
ThématiquePatient Safety and Medication Errors
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWorkflowWork (physics)Process (computing)Exploratory researchNursing careTroubleshooting
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background. Nurses must balance heavy workloads with a diverse array of practice standards, principles, current evidence, and medication rights, yet it is unknown how these complex and often confusing requirements are enacted by nurses during the medication workflow in the clinical setting. Instead, medication administration has been described as a complex, multi-step process that is not well understood. Purpose. The purpose of this study was to explore the practices Canadian registered nurses use most frequently during the complex workflow of medication administration in acute care settings and the factors that influence these practices. Methods. An exploratory quantitative design, including a comprehensive review of the literature and a web-based survey, was used to answer the following research questions: 1. What medication workflow practices do registered nurses use most often when administering medications in acute care hospitals in Canada? 2. How do participants rate the influence of the ten factors that are thought to influence medication administration practices? 3. Does practice setting influence medication workflow practices? 4. Does registered nurse years of experience influence medication workflow practices? Results. Five medication workflow phases emerged from the literature, providing concept clarity with identifiable boundaries. The workflow phases included order practices, assessment practices, preparation practices, administration practices, and post administration practices. Study findings not only shed light on medication workflow practices used most often by participants in this study, but also on medication workflow practices used infrequently or not at all. The most frequently performed medication workflow practices used by nurses included reviewing lab values, checking chart for allergies, assessing IV catheter sites, administering pre- and post-IV bolus flushes, assessing appropriateness of new orders, and positioning patients for safety. Practices performed least often included asking the patient to state name and birthdate as a form of patient identification; checking for drug-diet and drug-drug interactions; assessing patients’ medication related values, beliefs and preferences; explaining medication purpose and side-effects; and engaging patients in educational discussions about their medications. Differences in medication practices were found when looking at practice setting and RN experience. The top-rated factors influencing medication practices included environment, followed by medication factors, and teamwork factors. Leadership was the lowest rated influencing factor on medication practices in this study. Conclusion. Medication administration is complex and highly regulated, yet there is no consensus regarding the language used to describe the workflow, when the workflow begins or ends, or which elements of the workflow are considered most important. Studies involving medication workflow incorporated a diverse range of pre-defined criteria and process steps that were developed by experts and that measured nurse compliance. No studies could be found that asked nurses what practices they use when enacting the medication workflow. This study provides baseline data that can be used to further explore the challenges faced by nurses when translating theory to practice in the clinical setting. Technology solutions are needed to improve access to information and to help reduce nurse workload. Clearly defined roles are needed for all professionals that play a role in the medication workflow. Finally, the development of clear, evidence-based medication workflow priorities and practices, in partnership with frontline nurses, is critical to improving medication safety in hospitals

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)0,005
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,147
Score d'incertitude au seuil0,989

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,012
Études des sciences et des technologies0,0100,003
Communication savante0,0040,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,084
Tête enseignante GPT0,403
Écart entre enseignants0,319 · 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'étudeQualitatif
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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Même revueScholarship at UWindsor (University of Windsor)→Même sujetPatient Safety and Medication Errors→Travaux en français237 207→