MétaCan
Menu
← Retour à la cohorte
Enregistrement W3095580748 · doi:10.1182/blood-2020-136784

Characterizing the Process of Urgent Referrals and Transfers to a Large Tertiary Care Apheresis Centre in Ontario

2020· article· en· W3095580748 sur OpenAlexaffabout
Kristine Matusiak, Kevin H.M. Kuo, Andrew Binding, David Barth, Christopher J. Patriquin

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineApheresisReferralRapid response teamPopulationIntensive care medicinePhysical therapyFamily medicineEmergency medicineEnvironmental healthInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: Therapeutic plasma exchange (TPE) and red blood cell exchange (RBCX) are potentially life-saving treatments. Given the specialized nature of care, apheresis is only offered in 7 centres in Ontario (population: 14.5 million), and therefore effectively functions as a provincial service. Patients can be referred to any apheresis centre, regardless of home local health integration network (LHIN). Referrals are directed by CritiCall Ontario (CritiCall), a 24/7 consultation and referral service funded by the Ontario Ministry of Health and Long-Term Care (MOHLTC). CritiCall facilitates the MOHLTC Life or Limb Policy, which provides that patients with life or limb threatening conditions will receive timely consultation, and if necessary, transfer to an appropriate centre within a best effort window of 4 hours. We used CritiCall data to examine referral, acceptance, and transfer processes of urgent TPE and RBCX apheresis calls to our centre. Methods: Time and process data for all CritiCall transfers to our centre for TPE and RBCX between October 2013 and December 2018 were included. TPE cases were analyzed if transferred for codes related to thrombotic thrombocytopenic purpura (TTP) or other thrombotic microangiopathies, and RBCX cases were analyzed only for acute sickle cell indications (e.g. stroke, acute chest syndrome). As such, we assumed all transfers to be "life or limb." Continuous variables were analyzed by linear regression. Categorical variables were analyzed using nonparametric tests. Data were provided in accordance with the Personal Health Information Protection Act, 2004 (www.criticall.org/Article/Privacy). Results: A total of 69 cases (43 TPE, 26 RBCX) were included. Median patient age was 51 (IQR 37) years for TPE and 29 (IQR 16) for RBCX. Most patients (61%) were female. Total time from referral to patient arrival at our centre was 243 (IQR 168) minutes. The greatest proportion of this total was from patient acceptance to arrival (169 [IQR 108] minutes), whereas time from referral to contact with the physician, and time from contact to patient acceptance were 23 (IQR 53) and 12 (IQR 41) minutes, respectively. The life or limb benchmark was met in 74% of cases, assessing time between acceptance and arrival. Fifty-two percent of the patients were accepted by the first apheresis physician contacted, with an average of 3 physicians contacted before a patient was accepted. Distance between referring and accepting centres was 39 (IQR 39) kilometres, and ground transportation was used most often. A minority of cases (7%) transferred were within our own LHIN. Multiple linear regression examining factors that contribute to total time from referral to arrival demonstrated that distance was independently associated with total time (p<0.001). Transfers took an additional 6.7 minutes for every 10 km between the referring and accepting centres. Male sex was also independently associated with total time (p=0.041), with 55 additional minutes required per transfer of male patients compared to female. Transfer time was not significantly associated with age, procedure (TPE vs. RBCX), mode of transport, number of centres contacted, or within-LHIN referral. Conclusions: We have described the processes of urgent apheresis referrals to our centre. The 4 hour "life or limb" benchmark was met in just under 75% of transfers, with the greatest delay occurring between patient acceptance and arrival. This is important given that time to initiate treatment is associated with better outcomes. Distance between centres is an important factor and potential target for improvement. Our analysis shows that >90% of cases were from outside our LHIN, reflecting a truly provincial catchment. Quality improvement strategies should be aimed at pairing referrals with nearest apheresis centres, and creating efficiency in the interval between patient acceptance and arrival. It is unclear from these data why male sex is associated with longer transfer times, but it is a target for further analysis. There are limitations of this analysis: data were not available for cases that were not ultimately transferred, nor for transfers to other centres. Future work will include examining patterns of province-wide transfers, as well as including blood bank data to further characterize steps involved in initiating aphaeresis. Acknowledgements: We thank M. Shaikh, J. Dempsey, M. Gavel at CritiCall for their contributions. Disclosures Kuo: Pfizer: Consultancy, Research Funding; Celgene: Consultancy; Apellis: Consultancy; Bioverativ: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria; Alexion: Consultancy, Honoraria; Bluebird Bio: Consultancy; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees. Patriquin:Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apellis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Octapharma: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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)0,002
score de la tête « metaresearch » (Gemma)0,012
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 enseignants0,048
Score d'incertitude au seuil0,325

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,012
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
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 Opus0,011
Tête enseignante GPT0,229
Écart entre enseignants0,217 · 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
Publié2020
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHemoglobinopathies and Related Disorders→Travaux en français237 207→