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Enregistrement W4285091826 · doi:10.29173/cjen178

Scale and spread of quality improvement initiatives for bronchiolitis management in Alberta emergency departments

2022· article· en· W4285091826 sur OpenAlexaffvenueabout
Nathan M. Solbak, Erin Thompson, Lindsay Long, Michelle Bailey, Daina Thomas, David W. Johnson

Notice bibliographique

RevueCanadian Journal of Emergency Nursing · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueRespiratory viral infections research
Établissements canadiensAlberta Health ServicesUniversity of AlbertaUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésScale (ratio)BronchiolitisQuality managementQuality (philosophy)BusinessEmergency managementEnvironmental planningEnvironmental resource managementMedical emergencyGeographyEnvironmental sciencePolitical scienceMedicineCartographyMarketing

Résumé

récupéré en direct d'OpenAlex

Background: Acute viral bronchiolitis is among the most common illnesses seen in the emergency department (ED) and is the leading cause of infant hospitalization in Canada. Practice guidelines do not recommend routine use of certain diagnostic tests and medications in managing bronchiolitis, yet prior studies suggest that low-value interventions are routinely administered to patients with bronchiolitis. Successful implementation of quality improvement at the Alberta Children’s Hospital suggested that low-value interventions and tests can be improved. Yet, practice variation and potential opportunities to improve bronchiolitis management are likely present in EDs in urban and rural settings. Implementation: The project is a collaboration between the Maternal Newborn Child and Youth Strategic Clinical Network (MNCY SCN), the Improving Health Outcomes Together Team (IHOT), and Physician Learning Program (PLP) under the umbrella of the AHS Ernst & Young Clinical Appropriateness Theme recommendations to expand and scale initiatives to reduce unnecessary tests to improve patient safety. A provincial Bronchiolitis Steering Committee, led by two Physician Initiative Leads, was formed to guide the project and implementation at 16 facilities across Alberta. Site implementation includes two key aspects: Audit & Feedback (A&F) – review practice data, facilitated discussion with clinicians, and identify enablers and barriers to practice change Site Specific Implementation Plan – options for sites include use of posters, tools, resources; utilization of ConnectCare (order sets); and staff and physician education Qualitative interviews with site-champions will provide perspectives and feedback on enablers and barriers to change. Discussions from the A&F sessions, in addition to the qualitative interviews will be coded and analyzed based on the Consolidated Framework for Implementation Research and Theoretical Domains Framework. Resources required included clinical leads, project management, data/dashboards, educational posters, updated order sets, and a central location for staff and physician to access bronchiolitis materials (via SharePoint). Evaluation Methods: The primary objective of the study is a reduction of chest x-ray utilization. Chest x-rays utilization can be readily obtained from administrative data at all sites in the project. Secondary measures include medications (PIN) and respiratory viral testing. There is strong evidence to support that medications and respiratory viral testing do not impact bronchiolitis management. The project addresses patient safety and outcomes by reducing the use of low-value interventions and tests in the ED and enables resources to be directed towards evidence-based care. As ConnectCare is phased into all facilities across Alberta, additional metrics will be incorporated into reports and updates to participating sites. Results: The first phase of the project took place from September to November 2021, with rollout to six facilities (four EDs and two inpatient units). A total of 151 physicians attended the audit and group feedback sessions. Site-specific planning sessions and qualitative interviews with site-champions are planned, and the next phase of the project will continue with spread and scale to regional EDs (n=5), urban (n=2) and rural (n=4) locations in fall 2022. Advice and Lessons Learned: The partnership with MNCY SCN, PLP, IHOT, and two Clinician Leads has been beneficial for establishing a team-based multi-disciplinary approach to address needs as they arise and the ability to work together with site champions. Identifying and collaborating with site champions is necessary for establishing relationships and trust prior to conducting audit and feedback sessions and addressing practice change. Site champions understand the contextual factors of their facility and how to best utilize enablers or address barriers for practice change. Initiation of these working relationships need to take place months before implementation and ideally develop through existing networks. Timing and flexibility are crucial for successful implementation. Rescheduling launch dates, adjusting session time, validating data, and adjusting to external factors such as delays in ConnectCare rollouts and pressures on the healthcare system brought on by the COVID-19 pandemic were experienced in the planning and initiating phases of the project. These lessons will be carried forward as we plan for the second part of spread and scale in Fall 2022.

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)0,022
score de la tête « metaresearch » (Gemma)0,028
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,154
Score d'incertitude au seuil0,551

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0220,028
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0040,002
Communication savante0,0040,001
Science ouverte0,0040,007
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,061
Tête enseignante GPT0,401
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'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
Publié2022
Routes d'admission3
Résumé présentoui

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