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Enregistrement W2908347173 · doi:10.1182/blood-2018-99-113837

Enhancing Appropriate Coagulation Testing at a Large Academic Hospital

2018· article· en· W2908347173 sur OpenAlexaffabout
Nadia Gabarin, Aziz Jiwajee, Hina Chaudhry, Lisa K. Hicks, Michelle Sholzberg

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueClinical Laboratory Practices and Quality Control
Établissements canadiensUniversity of TorontoSt. Michael's Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicinePsychological interventionCoagulation testingTest (biology)StakeholderPatient safetyMedical laboratoryMedical emergencyMedical educationHealth careNursing

Résumé

récupéré en direct d'OpenAlex

Abstract Background: With the advent of Choosing Wisely, there has been a greater emphasis on resource stewardship in medicine. However, broad over-utilization of laboratory tests continues to be a problem, resulting in unnecessary costs and may even result in patient harm. Furthermore, overutilization can lead to a cascade of unnecessary laboratory activities with important direct and indirect costs to an already overburdened system. Coagulation testing provides a prime opportunity to make an impact in the reduction of unnecessary laboratory tests as there are clear indications for testing. Despite being validated for specific clinical circumstances, the PT/aPTT are frequently ordered as screening tests and often ordered together, demonstrating a gap in clinician understanding of the appropriate use of these tests. Educational interventions have previously been considered to be a less effective means of instituting sustainable change in lab test ordering practices. We set out to demonstrate if a multi-modal, multi-disciplinary educational intervention, embedded in a larger quality improvement (QI) initiative could enhance the appropriate use of coagulation testing and minimize laboratory resource waste at St. Michael's Hospital in Toronto, Canada. Here we present on the educational materials that were developed with multiple stakeholder involvement to support the QI process changes. Methods: In this prospective, sequential QI study we developed numerous educational materials and Electronic Medical Records (EMR) decision support prompts to facilitate knowledge translation in coagulation test ordering. The materials were developed with the input of medical students, residents, nursing staff, laboratory technologists, hematology and general internal medicine staff. The materials included educational posters and infographics distributed in clinical work areas and sent monthly via email to nurses, nurse practitioners, laboratory staff and physicians (Figure 1). Medical trainees carry out a large proportion of lab test ordering in our academic hospital, therefore we designed educational materials targeting this cohort. There was also an educational decision support prompt embedded in the EMR order system such that if a clinician attempted to order PT/aPTT testing, a message regarding the appropriate use of these tests appeared (Figure 2). Responding to practitioner requests for additional educational materials, we developed a drug- anticoagulant matching chart as well as posters on appropriate and inappropriate indications for direct oral anticoagulant test ordering. To assess the success of the educational materials, we assessed the volume of calls received by the lab's central receiving regarding coagulation testing. We also qualitatively assessed practitioner level satisfaction and modified the materials based on received feedback. Results: Substantial practitioner level satisfaction with the educational materials was evident and feedback was incorporated through multiple PDSA cycles. Following the implementation of the educational materials, central receiving laboratory technicians felt more empowered to field clinician questions regarding the appropriate use of coagulation testing. Moreover, the volume of calls to the central receiving department regarding PT/aPTT testing progressively decreased from 40-50 calls per day to 3-4 calls per day over three months when the initial multi-modal educational intervention was launched. These changes were sustainable and continue to be seen more than 2 years after the implementation of the educational intervention. This was mirrored by a significant decrease in coagulation testing rates in the hospital as part of the larger QI initiative. Conclusion: Our results indicate that a multi-modal, multi-disciplinary educational initiative that complemented a QI intervention resulted in practitioner satisfaction and support towards improved coagulation test utilization practices at a large academic centre. We believe the educational materials on coagulation testing disseminated to clinicians and embedded in the EMR ordering system effectively enhanced appropriate ordering practices and empowered practitioners as shown by the dramatic reduction in questions pertaining to coagulation testing. We believe that this highlights the importance of education to round out medical QI initiatives. Disclosures Sholzberg: Octapharma: Research Funding; CSL Behring: Research Funding; Amgen: Research Funding; Shire: Research Funding.

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)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,196
Score d'incertitude au seuil0,461

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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 Opus0,050
Tête enseignante GPT0,357
Écart entre enseignants0,308 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2018
Routes d'admission2
Résumé présentoui

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