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Enregistrement W2987411033 · doi:10.1182/blood-2019-121501

A Regional Massive Hemorrhage Protocol: Designed with a Modified Delphi Technique to Obtain Consensus

2019· article· en· W2987411033 sur OpenAlexaffabout
Jeannie Callum, Calvin H. Yeh, Mark J. McVey, Andrew Petrosoniak, Stephanie Cope, Troy Thompson, Victoria Chin, Keyvan Karkouti, Avery Nathans, Kimmo Murto, Suzanne Beno, Jacob Pendergrast, Andrew McDonald, Neil Adhikari, Asim Alam, Donald M. Arnold, Lee Barratt, Andrew Beckett, Sue Brenneman, Hina Chaudhry, Allison Collins, M. Harvey, Jacinthe Lampron, Russell D. MacDonald, Clarita B. Margarido, Amanda McFarlan, Barto Nascimento, W. R. Owens, Menaka Pai, Sandro Rizoli, Theodora Ruijs, Robert Skeate, Teresa Skelton, Michelle Sholzberg, Kelly Syer, Jami‐Lynn Viveiros, Josée Theriault, Alan Tinmouth, Rardi van Heest, Susan V. White, Michelle P. Zeller, Katerina Pavenski

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueNeonatal Respiratory Health Research
Établissements canadiensHealth Sciences NorthLakeridge HealthWilliam Osler Health SystemUniversity of OttawaMcGill UniversityToronto General HospitalOntario Stroke NetworkMcMaster UniversityHospital for Sick ChildrenCanadian Blood ServicesSt. Michael's HospitalSunnybrook Health Science CentreOttawa HospitalHealth Sciences CentreUniversity Health NetworkUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineLikert scaleProtocol (science)Delphi methodPatient safetyEmergency medicineMedical emergencyHealth carePsychology

Résumé

récupéré en direct d'OpenAlex

Background: The cornerstone of a massive hemorrhage protocol (MHP) is the rapid delivery of blood components to mitigate the consequences of hemorrhagic shock, coagulopathy, and hypothermia in the exsanguinating patient pending definitive hemorrhage control. MHPs are used to facilitate protocol activation/termination, mobilize an interdisciplinary team, provide immediate access to blood, prioritize rapid blood testing, and commence hypothermia-prevention strategies. Non-randomized, before-after implementation studies have found an association between MHPs and improved patient outcomes, including mortality. There is variability in MHP implementation rates, content, and protocol compliance due to challenges presented by infrequent activation, variable team performance, and patient acuity. Methods: We used a modified Delphi technique to establish the framework for a standardized Provincial MHP toolkit and develop quality indicators. We assembled a panel of 36 content experts to represent relevant stakeholders at 150 Ontario hospitals. Panelists included physicians, nurses, and technologists from anesthesia, trauma, obstetrics, hematology, transfusion, emergency, transport, critical care, as well as representation by blood suppliers and patients. The group represented the diverse geographic healthcare program including academic, pediatric, suburban, and small rural hospitals. Panelists were required to attend a two-day MHP forum and complete all rounds of the Delphi. Panelists used digital surveys (LimeSurvey, Hamburg, Germany) to independently review 43 statements and 8 quality indicators drafted by a steering committee. Each statement was rated on a 7-point Likert scale from "definitely should not" to "definitely should include". Disposition of items was based on critieria determined a priori on the median Likert score. Round 1: (1) score at least >5.5 incorporated as written, (2) 2.6-5.4, discussed at the forum with all panelists, with a 2nd round revision, (3) <2.5, removed from further rounds, unless there was a strong opposition by the panel and a revision drafted for the second round. Novel statements and quality indicators could be added in the first round. No additional statements were added after round two. For the 2nd and 3rd rounds: (1) >5.5, accepted, (2) 2.4-5.4, rewritten and sent for round 3, (3) <2.4, removed. Merging or division of statements could occur where appropriate. Results: After 3 rounds, consensus was reached for 42 statements and 8 quality indicators. A 100% response rate was achieved from panelists in all three rounds. There were four main areas that required additional rounds and major modifications: (1) selection of the name of the protocol; (2) selection of the laboratory resuscitation targets; (3) determination of the pack configurations; and, (4) clarification of the role of rVIIa. The obstacle to selecting a unified name for the protocol was that many of the hospitals already had longstanding MHPs with specific names. Consensus on the laboratory targets and pack configuration was achieved by splitting statements into sub-sections. The rVIIa statement required three rounds of review to ensure the phrasing satisfied all the panelists for this controversial therapy. Interpretation: We believe that harmonization of MHPs in our region will simplify training, increase uptake of evidence-based interventions, enhance communication, improve patient safety, and ultimately improve outcomes. We highlight areas that need additional study: (1) RCTs are needed to determine if MHPs improve patient outcomes. (2) A "streamlined" version for community hospitals for stabilization before transfer to a tertiary care centre must be tested. (3) Activation and termination criteria have not been validated. (4) The frequency and type of laboratory testing has not been investigated. (5) Laboratory targets for resuscitation must be tested. (6) Does maintaining normothermia decrease transfusion? (7) Can fibrinogen concentrates and PCCs can be considered equivalent to cryoprecipitate and plasma, respectively? (8) Does compliance with the selected quality indicators result in improved outcome? These MHP recommendations will provide the basis for the design of local MHPs including specific recommendations for pediatric patients and for hospitals where definitive hemorrhage control may not be available. Disclosures Arnold: Novartis: Honoraria, Research Funding; Bristol-Myers Squibb: Research Funding; Rigel: Consultancy, Research Funding; Principia: Consultancy. Pai:Novartis: Honoraria. Sholzberg:Takeda: Honoraria, Research Funding; Baxalta: Honoraria, Research Funding; Baxter: Honoraria, Research Funding. Zeller:Canadian Blood Services: Consultancy; Pfizer: Other: Advisory Board; Ontario Ministry of Health and Long Term Care: Consultancy. Pavenski:Ablynx: Honoraria, Research Funding; Bioverativ: Research Funding; Shire: Honoraria; Alexion: Honoraria, Research Funding; Octapharma: 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 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)0,200
score de la tête « metaresearch » (Gemma)0,182
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,200
Score d'incertitude au seuil0,986

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2000,182
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0050,004
Études des sciences et des technologies0,0040,005
Communication savante0,0030,004
Science ouverte0,0040,008
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0240,004

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 Opus0,051
Tête enseignante GPT0,359
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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreMéthodes

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

En bref

Citations1
Publié2019
Routes d'admission2
Résumé présentoui

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