Red Blood Cell Transfusion and Chemotherapy Administration: A Study of Resource Utilization at the London Regional Cancer Program (LRCP).
Notice bibliographique
Résumé
Abstract We conducted previously a prospective evaluation of the relative chair-time consumption between various clinical activities (chemotherapy administration, RBC transfusion, other treatment related events) at the LRCP. Transfusions were reported to occupy at least twice as much chair-time relative to an average chemotherapy session. We report here a retrospective analysis of the LRCP electronic database over a 6-month period to further evaluate clinic resource utilization. A total of 11016 clinic visits were documented and analyzed, of which 83% involved an active treatment session (chemotherapy/transfusion). The most prevalent tumours (>60%) were breast, gastrointestinal (GI), genitourinary (GU) and gynecological (GYN) cancers. Hematologic malignancies accounted for <20% of all tumour types, where myeloma and lymphoma constituted >50% of this cohort. One hundred seventy-one patients received a total of 337 transfusions (656 RBC units), of which the majority were solid (58.5%) and hematologic (40.9%) tumour patients. The transfusion trigger was observed at Hb <80g/L (mean 76.5 +/− 12.3g/L) and on average 1.9 +/− 0.3 units of blood were administered on each occasion. The incidence of transfusion (Mean 7.5 & 6.0 per transfused patient) and units of blood administered (Mean 15 & 12 units per transfused patient) were highest among chronic myeloproliferative disorder and non-malignant hematology patients. Based on our previous reported transfusion chair-time (i.e. Chair-time occupied by a patient while receiving 1 RBC unit, independent of time consumed by pre-/post-transfusion related nursing and laboratory activities) at 109 +/- 19 minutes, an estimated 71504 minutes were consumed by all RBC transfusions, constituting 5.4% of all LRCP out-patient clinic chair-time events. Only 11% of all transfused patients were treated with an erythropoietin receptor agonist (ERA), corroborating with published literature that ERAs are highly effective in reducing the transfusion burden of oncology patients. This study also identified a major discrepancy between the blood bank’s record of distributed blood and LRCP’s record of transfused blood. A total of 129 transfusions (37%) were not documented on the LRCP database but were administered to patients, of which 20% took place on stretcher beds. As hospital billings rely solely on this database, about 26923 min of clinic time and hospital resources that were utilized was not funded. A very conservative estimate of unbilled nursing time ($30/hr) alone translates into a minimum of $13461 over the study period. In conclusion, RBC transfusion consumes a significant proportion of chair-time at the LRCP, which could otherwise be more efficiently utilized by chemotherapy administration. Chemotherapy protocols commonly administered to GYN (platinum based) and lymphoma (combination regimens containing rituximab) patients are previously reported to be the most chair-time consuming (Median 3–4 hr, up to 7–8hrs). Since these tumour types accounted for a significant proportion of the patient population who receive care at the LRCP, an intense competition for chair-time and nursing resources that could lead to clinic cancellations and delayed treatment had likely occurred. A greater application of transfusion alternatives (e.g. ERAs) could reserve such facilities for their intended purposes, thus allowing the timely administration of chemotherapy and optimization of clinic resource utilization.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».